Melanoma is among the most sensitive of malignancies to immune modulation. Although multiple trials conducted over decades with vaccines, cytokines, and cell therapies demonstrated meaningful responses in a small subset of patients with metastatic disease, a true increase in overall survival (OS) within a randomized phase III trial was not observed until the development of anti–CTLA-4 (ipilimumab). Further improvements in OS for metastatic disease were observed with the anti–PD-1–based therapies (nivolumab, pembrolizumab) as single agents or combined with ipilimumab. A lower bound for expected 5-year survival for metastatic melanoma is currently approximately 35% and could be as high as 50% for the nivolumab/ipilimumab combination among patients who would meet criteria for clinical trials. Moreover, a substantial fraction of long-term survivors will likely remain progression-free without continued treatment. The hope and major challenge for the future is to understand the immunobiology of tumors with primary or acquired resistance to anti–PD-1 or anti–PD-1/anti–CTLA-4 and to develop effective immune therapies tailored to individual patient subsets not achieving long-term clinical benefit. Additional goals include optimal integration of immune therapy with nonimmune therapies, the development and validation of predictive biomarkers in the metastatic setting, improved prognostic and predictive biomarkers for the adjuvant setting, understanding mechanisms of and decreasing toxicity, and optimizing the duration of therapy.

Incidence rates of melanoma have doubled over the past 30 years due to an aging population, increased ultraviolet (UV) sunlight exposure, ongoing tanning bed use, and improved awareness and detection (1). Although melanoma represents only 1% of all skin cancers diagnosed, it is by far the most fatal with an estimated 10,000 deaths in the United States in 2018 (2). Because of UV light exposure and possibly the biology of melanin, the DNA of melanoma cells in most patients contains a relatively large number of mutations (3). The mutations result in altered protein sequences, a subset of which is processed and presented as “foreign” peptides on surface MHC molecules and therefore recognized by a host T-cell response. Melanosomal proteins such as MART-1, gp100, and tyrosinase can also be recognized by host T-cell responses, possibly because of molecular mimicry between the peptides presented on cell surface MHC molecules and peptides from pathogen-associated proteins (4). In addition, melanomas often reexpress developmental proteins such as the cancer-testes antigens, which can be recognized by host immune responses (5). Multiple studies have shown that T lymphocytes can be grown ex vivo from tumor-infiltrating lymphocytes (TIL) of metastatic melanoma lesions, and in most patients, a subset of these TIL specifically recognize autologous melanoma. Consistent with the latter observations, clinical activity was observed with a variety of local or systemically administered immune therapies including IL2 (6), IFNα (7, 8), and adoptive cell therapy (ACT; refs. 9–11). Objective response rates (ORR) in metastatic melanoma ranged from approximately 15% for cytokines to up to 50% for ACT with expanded TIL, but only 5%–20% of patients achieved long-term complete responses (CR). Nevertheless, the durable CRs provided proof of concept for immunotherapy efficacy in melanoma and supported further development of novel immune modulators in melanoma and other malignancies.

Subsequent development of mAbs targeting the immune checkpoints cytotoxic T-lymphocyte antigen-4 (CTLA-4; ipilimumab, approved by the FDA in 2011) and programmed death 1 (PD-1; nivolumab, pembrolizumab, approved by the FDA in 2014) drastically transformed the management of advanced melanoma and of melanoma at high risk for distant recurrence after resection of the primary and regional nodal disease (Table 1). Average life expectancy for a patient with metastatic melanoma ranged from six to twelve months before introduction of the immune checkpoint inhibitors (ICI); 3-year overall survival (OS) rates in clinical trials of anti–PD-1 alone or in combination with ipilimumab now exceed 50% (12). Five-year survival rates for anti–PD-1 alone could approach 35%–40% (13), and the 4-year survival rate for nivolumab plus ipilimumab exceeded 50% (14). Although not well documented in the current trials, our substantial institutional experiences with these agents indicate that a large fraction of the 5-year survivors are off treatment and have no active disease, having required only the immune therapies and in some cases additional radiation or surgical resection of residual oligometastatic disease.

Table 1.

Practice-changing trials for immune checkpoint inhibitors in locally advanced and metastatic melanoma

DrugTrialPhasePopulationTreatment armsPrimary outcome(95% CI)HRP
Unresectable/metastatic 
Ipi (FDA approved 2011) Hodi and colleagues (2010; ref. 24) III Unresectable stage III/IV previously treated Ipi 3mg/kg × 4 + gp100 vaccine Median OS (months) 10 (8.5–11.5) 0.68 (vs. gp100) <0.001 
    Ipi 3 mg/kg  10.1 (8–13.8) 0.66 (vs. gp100) 0.003 
    gp100 vaccine  6.4 (5.5–8.7) — — 
Pembrolizumab (FDA approved 2014) Robert and colleagues (2014, KEYNOTE-001; ref. 121) Ipi refractory Pembrolizumab 2 mg/kg q3wk ORR (%) 26 (–) — 0.96 
    Pembrolizumab 10 mg/kg q3wk  26 (–) — — 
 Ribas and colleagues (2015, KEYNOTE-002; ref. 122) II Ipi refractory Pembrolizumab 2 mg/kg q3wk Median PFS (months) 2.9 (2.8–3.8) 0.57 (vs. chemo) <0.0001 
    Pembrolizumab 10 mg/kg q3wk  2.9 (2.8–4.7) 0.5 (vs. chemo) <0.0001 
    Investigators' choice chemo  2.7 (2.5–2.8) — — 
 Schachter and colleagues (2017, KEYNOTE-006; ref. 36) III Unresectable stage III/IV up to 1 prior treatment (excluding anti–CTLA-4, PD-1/PD-L1 agents) Pembrolizumab 10 mg/kg q2wk 12-month OS rate (%) 74.1 (—) 0.63 (vs. ipi) 0.0005 
    Pembrolizumab 10 mg/kg q3wk  68.4 (—) 0.69 (vs. ipi) 0.0036 
    Ipi 3 mg/kg q3wk × 4  58.2 (—) — — 
Nivolumab (FDA Weber and colleagues (2015, III Unresectable or metastatic progression on ipi Nivolumab 3 mg/kg q2wk ORR (%) 31.7 (23.5–40.8) — — 
approved 2014)  CheckMate-037; ref. 123)  and BRAF inhibitor if BRAF mutant Investigators' choice chemo  10.6 (3.5–23.1) — — 
 Robert and colleagues (2015, III Metastatic previously untreated BRAF WT Nivolumab 3 mg/kg q2wk 1-year OS rate (%) 72.9 (65.5–78.9) 0.42 0.001 
 CheckMate-066; ref. 124)   Dacarbazine 1,000 mg/m2 q3wk  42.1 (33–50.9) — — 
Ipi plus nivolumab Wolchok and colleagues (2013; ref. 23) Unresectable stage III/IV previous therapy Nivolumab 0.3 mg/kg + ipi 3 mg/kg ORR (%) 21 (5–51) — — 
(FDA approved   with T-cell–modulating Abs (excluding ipi Nivolumab 1 mg/kg + ipi 3 mg/kg  53 (28–77) — — 
2015)   for pts in the sequenced-regimen cohorts) Nivolumab 3 mg/kg + ipi 1 mg/kg  40 (16–68) — — 
    Nivolumab 3 mg/kg + ipi 3 mg/kg  50 (12–88) — — 
    All  40 (27–55) — — 
 Postow and colleagues (2015, CheckMate-069; ref. 125) II Unresectable stage III/IV treatment naïve Ipi 3 mg/kg + nivolumab 1 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk ORR (%) BRAF WT 61 (49–72) — — 
     BRAF mutant 52 (31–73)   
    Ipi 3 mg/kg + placebo × 4 followed by BRAF WT 11 (3–25) — — 
    placebo q2wk BRAF mutant 10 (0–45)   
 Larkin and colleagues (2015, III Unresectable stage III/IV treatment naïve Nivolumab 3 mg/kg q2wk + placebo Median PFS (months) 6.9 (4.3–9.5) 0.57 (vs. ipi) <0.001 
  CheckMate-067; ref. 16)   Nivolumab 1 mg/kg + ipi 3 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk  11.5 (8.9–16.7) 0.42 (vs. ipi) <0.001 
    Ipi 3 mg/kg q3wk × 4 + placebo  2.9 (2.8–3.4) — — 
 Wolchok and colleagues (2017, III Unresectable stage III/IV treatment naïve Nivolumab 3 mg/kg q2wk + placebo 3-year OS (months; 3-year OS rate %) 37.6 (52; 29.1–NR) 0.65 (vs. ipi) <0.001 
 CheckMate-067; ref. 12)   Nivolumab 1 mg/kg + ipi 3 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk  NR (58; 38.2–NR) 0.55 (vs. ipi) <0.001 
    Ipi 3 mg/kg q3wk × 4 + placebo  19.9 (34; 16.9–24.6) — — 
Adjuvant 
Nivolumab (FDA approved 2017) Weber and colleagues (2017, CheckMate-238; ref. 59) III Resected stages IIIB-IV (AJCC 7th ed.) Nivolumab 3 mg/kg q2wk up to 1 year 1-year RFS rate (%) 70.5% (66.1–74.5) 0.65 <0.001 
    Ipi 10 mg/kg q3wk × 4, then q12 wk up to 1 year  60.8% (56–65.2) — — 
Pembrolizumab (FDA approved 2018) Eggermont and colleagues (2018, ref. 60) III Resected stages IIIA (>1 mm micrometastasis)-IIIC (AJCC 7th ed.) completion lymphadenectomy required Pembrolizumab 200 mg i.v. q3wk up to 1 year 1-year RFS rate (%) 75.4% (71.3–78.9) 0.57 <0.001 
    Placebo up to 1 year  61% (56.5–65.1) — — 
Ipi plus nivolumab NCT03068455 (CheckMate-915) III Resected stage IIIB-IV (AJCC 8th ed.) Nivolumab 240 mg q2wk + ipi 1 mg/kg q6wk + placebo RFS Results not yet available 
    Nivolumab 480 mg q4wk + placebo   
    Ipi 10 mg/kg q3wk × 4, then q12wk (this arm was subsequently removed)   
DrugTrialPhasePopulationTreatment armsPrimary outcome(95% CI)HRP
Unresectable/metastatic 
Ipi (FDA approved 2011) Hodi and colleagues (2010; ref. 24) III Unresectable stage III/IV previously treated Ipi 3mg/kg × 4 + gp100 vaccine Median OS (months) 10 (8.5–11.5) 0.68 (vs. gp100) <0.001 
    Ipi 3 mg/kg  10.1 (8–13.8) 0.66 (vs. gp100) 0.003 
    gp100 vaccine  6.4 (5.5–8.7) — — 
Pembrolizumab (FDA approved 2014) Robert and colleagues (2014, KEYNOTE-001; ref. 121) Ipi refractory Pembrolizumab 2 mg/kg q3wk ORR (%) 26 (–) — 0.96 
    Pembrolizumab 10 mg/kg q3wk  26 (–) — — 
 Ribas and colleagues (2015, KEYNOTE-002; ref. 122) II Ipi refractory Pembrolizumab 2 mg/kg q3wk Median PFS (months) 2.9 (2.8–3.8) 0.57 (vs. chemo) <0.0001 
    Pembrolizumab 10 mg/kg q3wk  2.9 (2.8–4.7) 0.5 (vs. chemo) <0.0001 
    Investigators' choice chemo  2.7 (2.5–2.8) — — 
 Schachter and colleagues (2017, KEYNOTE-006; ref. 36) III Unresectable stage III/IV up to 1 prior treatment (excluding anti–CTLA-4, PD-1/PD-L1 agents) Pembrolizumab 10 mg/kg q2wk 12-month OS rate (%) 74.1 (—) 0.63 (vs. ipi) 0.0005 
    Pembrolizumab 10 mg/kg q3wk  68.4 (—) 0.69 (vs. ipi) 0.0036 
    Ipi 3 mg/kg q3wk × 4  58.2 (—) — — 
Nivolumab (FDA Weber and colleagues (2015, III Unresectable or metastatic progression on ipi Nivolumab 3 mg/kg q2wk ORR (%) 31.7 (23.5–40.8) — — 
approved 2014)  CheckMate-037; ref. 123)  and BRAF inhibitor if BRAF mutant Investigators' choice chemo  10.6 (3.5–23.1) — — 
 Robert and colleagues (2015, III Metastatic previously untreated BRAF WT Nivolumab 3 mg/kg q2wk 1-year OS rate (%) 72.9 (65.5–78.9) 0.42 0.001 
 CheckMate-066; ref. 124)   Dacarbazine 1,000 mg/m2 q3wk  42.1 (33–50.9) — — 
Ipi plus nivolumab Wolchok and colleagues (2013; ref. 23) Unresectable stage III/IV previous therapy Nivolumab 0.3 mg/kg + ipi 3 mg/kg ORR (%) 21 (5–51) — — 
(FDA approved   with T-cell–modulating Abs (excluding ipi Nivolumab 1 mg/kg + ipi 3 mg/kg  53 (28–77) — — 
2015)   for pts in the sequenced-regimen cohorts) Nivolumab 3 mg/kg + ipi 1 mg/kg  40 (16–68) — — 
    Nivolumab 3 mg/kg + ipi 3 mg/kg  50 (12–88) — — 
    All  40 (27–55) — — 
 Postow and colleagues (2015, CheckMate-069; ref. 125) II Unresectable stage III/IV treatment naïve Ipi 3 mg/kg + nivolumab 1 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk ORR (%) BRAF WT 61 (49–72) — — 
     BRAF mutant 52 (31–73)   
    Ipi 3 mg/kg + placebo × 4 followed by BRAF WT 11 (3–25) — — 
    placebo q2wk BRAF mutant 10 (0–45)   
 Larkin and colleagues (2015, III Unresectable stage III/IV treatment naïve Nivolumab 3 mg/kg q2wk + placebo Median PFS (months) 6.9 (4.3–9.5) 0.57 (vs. ipi) <0.001 
  CheckMate-067; ref. 16)   Nivolumab 1 mg/kg + ipi 3 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk  11.5 (8.9–16.7) 0.42 (vs. ipi) <0.001 
    Ipi 3 mg/kg q3wk × 4 + placebo  2.9 (2.8–3.4) — — 
 Wolchok and colleagues (2017, III Unresectable stage III/IV treatment naïve Nivolumab 3 mg/kg q2wk + placebo 3-year OS (months; 3-year OS rate %) 37.6 (52; 29.1–NR) 0.65 (vs. ipi) <0.001 
 CheckMate-067; ref. 12)   Nivolumab 1 mg/kg + ipi 3 mg/kg × 4 followed by nivolumab 3 mg/kg q2wk  NR (58; 38.2–NR) 0.55 (vs. ipi) <0.001 
    Ipi 3 mg/kg q3wk × 4 + placebo  19.9 (34; 16.9–24.6) — — 
Adjuvant 
Nivolumab (FDA approved 2017) Weber and colleagues (2017, CheckMate-238; ref. 59) III Resected stages IIIB-IV (AJCC 7th ed.) Nivolumab 3 mg/kg q2wk up to 1 year 1-year RFS rate (%) 70.5% (66.1–74.5) 0.65 <0.001 
    Ipi 10 mg/kg q3wk × 4, then q12 wk up to 1 year  60.8% (56–65.2) — — 
Pembrolizumab (FDA approved 2018) Eggermont and colleagues (2018, ref. 60) III Resected stages IIIA (>1 mm micrometastasis)-IIIC (AJCC 7th ed.) completion lymphadenectomy required Pembrolizumab 200 mg i.v. q3wk up to 1 year 1-year RFS rate (%) 75.4% (71.3–78.9) 0.57 <0.001 
    Placebo up to 1 year  61% (56.5–65.1) — — 
Ipi plus nivolumab NCT03068455 (CheckMate-915) III Resected stage IIIB-IV (AJCC 8th ed.) Nivolumab 240 mg q2wk + ipi 1 mg/kg q6wk + placebo RFS Results not yet available 
    Nivolumab 480 mg q4wk + placebo   
    Ipi 10 mg/kg q3wk × 4, then q12wk (this arm was subsequently removed)   

Abbreviations: AJCC, American Joint Committee on Cancer; CI, confidence interval; ipi, ipilimumab; NR, not reached; OS, overall survival; PFS, progression-free survival; pts, patients; q, every; RFS, recurrence-free survival; wks, weeks; WT, wild type.

However, despite the substantial advances, roughly half of all patients with melanoma treated with ICIs will demonstrate primary or acquired resistance (15, 16). No highly accurate predictive biomarkers exist and there are limited effective treatment options available once resistance develops, except for targeted BRAF + MEK inhibitors in tumors expressing driver mutations in the BRAF gene. While adverse effects from immune therapies (irAE) are manageable in most patients, they cause significant morbidity in a subset and may require treatment discontinuation. Finally, ICIs are expensive agents with important individual and societal economic implications, problems that must be addressed with more refined dosing schedules, optimization of treatment duration, and rational patient selection in the future (17, 18).

Before 2011, standard-of-care immune therapy for melanoma was limited to IFNα for primary/regional disease at high risk for recurrence and high dose IL2 for advanced/metastatic disease. High dose IL2 produced ORRs of up to 16% and a CR rate of 6%, based on data obtained before ICIs moved to first-line treatment of melanoma (19). No randomized trials of high dose IL2 versus chemotherapy were conducted. Recognition that T-cell activation through the T-cell receptor (TCR) was modulated by ligand-receptor costimulatory and coinhibitory signals provided additional targets for immune intervention. CD28 was the first costimulatory molecule identified in 1986 and binds to CD80/CD86 expressed on APCs, but can be countered by induced cell surface expression of CTLA-4, which competitively binds to CD80/CD86 with higher affinity than CD28 (20). PD-1 is another coinhibitory receptor induced by T-cell activation and has two known ligands, PD-L1 and PD-L2 (21). PD-L1, also known as B7-H1, was found on the cell surface of melanoma cells, on other immune cells within the tumor microenvironment, and on dendritic cells. Multiple other T-cell costimulatory and coinhibitory ligand–receptor interactions have been discovered (22). The immunobiology of these pathways is complex, could influence various immune cell subsets including regulatory T cells, and may have roles in naïve T-cell priming as well as in expansion and function of effector T cells in the tumor microenvironment. Blocking mAbs against both CTLA-4 and PD-1 were shown to produce clinical activity that surpassed any of the prior available therapies and revolutionized the care of patients with melanoma (23). A major challenge for improving therapy is to fully understand the baseline host antitumor immune response and posttherapy evolution of the response that results in antitumor activity.

Anti–CTLA-4

Ipilimumab and tremelimumab ORRs are in the same range as high-dose IL2, and responses can also be quite durable (24, 25). Several important lessons were learned during anti–CTLA-4 development, including management of the induced irAEs, and the varying patterns of response kinetics, for example, the observation of clear clinical disease progression of existing and new lesions in the first 6–12 weeks of treatment followed in some cases by dramatic disease regression, or pseudoprogression, which occurs in an estimated 10% of patients (26, 27). Growing experience with anti–CTLA-4 demonstrated that the standard radiographic RECIST may underestimate clinical benefit from ICIs. Since then and with development of anti–PD-1, multiple iterations of modified RECIST and immune-related response criteria for patients receiving ICIs have been developed, however RECIST is still the most common criteria in use (28–32). There have also recently been reports of rapid progression, termed hyperprogression, in some patients treated with checkpoint blockade (29, 30, 33). Further study of this important area is needed to better understand underlying biology.

Anti–CTLA-4 was active in patients who had progressed on prior IL2. Ipilimumab improved median OS compared with a gp100 peptide vaccine (10 vs. 6.4 months) in previously treated patients with advanced melanoma and was the first ICI to be approved by the FDA for any malignancy in 2011 (24). Follow-up revealed a 3-year OS of 22% and a plateau of the survival curve for up to 10 years, consistent with the observation of durable responses (34). Although a randomized study showed ipilimumab 10 mg/kg produced superior survival to the approved 3 mg/kg (median 15.7 vs. 11.5 months; ref. 35), the outcomes are still inferior to studies of single-agent anti–PD-1 (nivolumab and pembrolizumab; ref. 36).

Anti–PD-1

Both nivolumab and pembrolizumab are superior to ipilimumab based on single-agent trials and randomized studies (16, 36). When comparing results for similar groups of patients, nivolumab and pembrolizumab produce nearly identical rates of adverse events, objective response, progression-free survival (PFS) and OS. In one trial, single-agent pembrolizumab demonstrated superior PFS and 2-year OS rates (55% vs. 43%, cross-over was allowed) compared with ipilimumab (36). Three- and 4-year survival rates for pembrolizumab and nivolumab in previously untreated patients are 51% (37) and 42% (38). Five-year survival for pembrolizumab in treatment-naïve patients is 41% (13). Five-year survival for nivolumab in previously treated patients was estimated at 35% (39). Both pembrolizumab and nivolumab produce much lower rates of irAEs than ipilimumab, although types of irAEs are similar. PD-1 inhibition became the standard-of-care first-line therapy for metastatic melanoma after FDA approval in 2014 (36). Of note, patients with or without tumor PD-L1 expression receive survival benefit from anti–PD-1 compared with a noneffective treatment such as dacarbazine (37). Anti–PD-1 has also shown clinical benefit for several specific melanoma subgroups, for example, in patients with desmoplastic melanoma, a rare histologic variant with a high mutation burden (40), and for untreated brain metastases in which pembrolizumab yielded a brain metastasis response rate of 26% and 2-year OS of 48% (41).

Combinations of anti–PD-1 and anti–CTLA-4

In CheckMate-067 that compared combination ipilimumab and nivolumab or nivolumab to ipilimumab alone, the combination demonstrated 3- and 4-year OS rates of 58% and 53%, compared with 52% and 46% for nivolumab and 34% and 30% for ipilimumab (12, 14). The combination produced substantially greater rates of toxicity than single-agent nivolumab, although manageable and reversible in almost all patients. Nearly 40% of patients discontinued treatment in the combination arm. Outcome in those experiencing severe toxicity and requiring steroids or other agents to reverse toxicity was not compromised (42). On the basis of, in part, improvement in ORR and PFS in the post hoc comparison of the combination to nivolumab, the combination was approved by the FDA in 2015 (12, 16). Of note, patients experiencing toxicity from the combination were not allowed to receive nivolumab alone after resolution of toxicity, which may have negatively affected the OS in that arm.

In subsequent single-arm studies and a small randomized phase II trial, a lower dose of ipilimumab (1 mg/kg) was combined with the more standard single-agent dose of either nivolumab or pembrolizumab, resulting in lower rates of severe toxicity (43) and activity appears similar. For example, a phase Ib trial of pembrolizumab 2 mg/kg combined with low-dose ipilimumab (1 mg/kg) reported an ORR of 61% (44). The effects of the altered dose ratios on PFS and OS can only be accurately assessed in larger randomized trials, but based on current data, differences would likely be small and therefore only detectable in very large trials. CheckMate-064 assessed whether sequential administration of ipilimumab followed by nivolumab or the reverse sequence could decrease toxicity and maintain similar efficacy to combined ipilimumab and nivolumab. Treatment-related adverse events (AE) were similar between the two study arms. Patients in the nivolumab followed by ipilimumab group had higher response rates at week 25 (41% vs. 20%) and improved 12-month OS rates (76% vs. 54%) compared with the ipilimumab followed by nivolumab group (45). Ipilimumab alone and ipilimumab plus anti–PD-1 have shown activity in patients unresponsive to or with acquired resistance after single-agent anti–PD-1 (46, 47). Current data cannot exclude the possibility that sequential anti–PD-1 followed by ipilimumab alone or ipilimumab/anti–PD-1 combination could produce similar survival to the combination therapy given first-line.

Both clinical and laboratory features have been assessed to identify the subset of patients that clearly benefit from the addition of ipilimumab to anti–PD-1. In Checkmate-067, PFS and OS were improved by the combination in the subset with PD-L1–negative tumors (at the <5% level in stratification, or at the <1% level in post hoc analysis) but the difference was not statistically significant. Exploratory analyses using time-dependent receiver-operating characteristic curves also determined that PD-L1 expression could not reliably predict OS (14).

Melanoma brain metastases, a common occurrence and therapeutic challenge, are typically treated with local therapy such as stereotactic radiosurgery. There is now evidence for use of ICI that appears to provide benefit in a subset of patients with asymptomatic, small, untreated brain metastases. In a single-arm phase II study, the combination of ipilimumab/nivolumab demonstrated significant activity against baseline untreated brain metastases (similar to activity against non-CNS metastases; ref. 48), and in a similar brain metastases population, the combination appeared superior when randomized against anti–PD-1 alone, although sample size was very small (49). The results of a small randomized study in the stage III neoadjuvant setting also suggested superior results for ipilimumab/nivolumab over nivolumab alone (50). In certain populations, such as metastatic disease from mucosal primaries, retrospective analyses show that the combination is superior to nivolumab alone, but the advantage occurs in the group with PD-L1–negative tumors (which represents most of the patients; ref. 51). Development of effective immunotherapeutic approaches for metastatic uveal melanoma also remains a challenge and most clinical trials exclude this population due to its distinct tumor biology (52). Only a small subset of patients with uveal melanoma responds to ipilimumab (53) or anti–PD-1 (54), and data are not yet available on the activity of ipilimumab plus nivolumab. An integrative analysis of uveal melanomas from the Cancer Genome Atlas suggests that an inflammatory molecular subgroup does exist, but patient selection is still an issue (55). Extrapolating from clinical data to date, combination ipilimumab and nivolumab may represent a preferred first-line therapy for patients with PD-L1–negative tumors, elevated LDH, mucosal primaries, and/or untreated brain metastases.

Cross-study comparisons suggest an advantage in median and OS for first-line anti–PD-1–based therapy over BRAF/MEK inhibitors in melanoma harboring a BRAF V600 mutation. However, for certain disease presentations in which very rapid clinical response is required or immune therapies are contraindicated, targeted molecular therapies should be given first (56). This question is being formally addressed by an ongoing phase III trial randomizing patients with BRAF V600-mutant melanoma to targeted therapy with dabrafenib and trametinib followed by ipilimumab and nivolumab at time of disease progression, or vice versa (NCT02224781).

Adjuvant immunotherapy

Prior to development of ICIs, the majority of patients with completely resected melanoma at high risk for recurrence could be offered adjuvant IFNα or pegylated –IFN; however, the agents were associated with bothersome and chronic adverse effects during therapy and only provided modest recurrence-free survival (RFS) benefit and a small OS advantage (57). A randomized trial of ipilimumab at 10 mg/kg versus placebo for completely resected stage III melanoma improved RFS and OS; however, it caused a high rate of grade 3 and 4 AEs (54%; ref. 58). Adjuvant anti–PD-1 quickly replaced ipilimumab in 2017 after CheckMate-238 showed improved 12-month RFS rates for nivolumab compared with ipilimumab (70.5% vs. 60.8%), with lower rates of high grade toxicity (14.4% vs. 45.9%) in patients with resected stage IIIB, IIIC, or IV melanoma. The HR for disease recurrence or death was 0.65; however, survival results have not yet been reported (59). Pembrolizumab also improved RFS compared with placebo (60). In the latter trial, effects on OS are eagerly awaited because all placebo patients were offered pembrolizumab at time of recurrence, which could address the value of treatment in the adjuvant setting versus waiting to treat until disease recurrence. Accrual to Checkmate-915 (NCT03068455) was recently completed in which nivolumab plus low-dose ipilimumab was compared with nivolumab monotherapy in patients with completely resected stage IIIB/C/D or stage IV melanoma. Patients with stage IIIA–IIIC [American Joint Committee on Cancer (AJCC) VII] resected melanoma whose tumors contain a BRAF V600 mutation are also eligible to receive dabrafenib plus trametinib, which was FDA approved in 2018 for use in the adjuvant setting (61); however, targeted therapies have not been compared with ICIs in the adjuvant setting.

In looking forward for approaches to improve therapeutic outcomes, reviewing past development efforts of other immune modulators is instructive. Because of its presumed immunogenicity, most immune modulators were tested initially in metastatic melanoma. Using objective response as the measure of clinical activity, most agents were either inactive or at best demonstrated low response rates. Immune modulators tested in clinical trials included cancer vaccines, cytokines, costimulatory receptor agonists, and multiple types of cell therapies.

Many types of cancer vaccines progressed to clinical development, immunizing against shared melanosomal proteins or cancer-testes antigens, or against antigens contained in autologous tumor or allogeneic tumor cells. Multiple antigen delivery approaches and immunologic adjuvants were employed in the vaccine trials, including gene-modified cells, peptides or proteins with adjuvant, antigen loaded onto autologous dendritic cells, and delivery of defined antigens by viral vectors or DNA plasmids (62). Rare responses of small-volume distant metastatic disease were observed in some of these trials. Vaccine development is currently focused on immunization against autologous neoantigens defined by whole-exome sequencing or RNAseq combined with bioinformatics analyses to predict binding of peptide sequences containing the mutation to the patient's HLA molecules (63, 64). All older vaccine trials in the adjuvant setting have failed to improve RFS or OS.

Intratumoral immunization efforts began with substances such as BCG and progressed over time to include cytokines delivered by various means, oncolytic viruses, Toll-like receptor (TLR) agonists, and STING agonists. A replicating herpesvirus containing GM-CSF, T-VEC, or talimogene laherparepvec, was approved by the FDA in 2015 for intratumoral administration after demonstrating modest ORR compared with GM-CSF (26% vs. 6%) in a phase III trial for patients with unresected stage IIIB–IV melanoma (65). Most responses occurred in injected lesions and regional noninjected disease, with rare responses in distant noninjected small-volume disease (66). T-VEC has also been studied in a phase II trial in combination with ipilimumab compared with ipilimumab alone (ORR 39% vs. 18%) and in a phase III trial of pembrolizumab plus T-VEC versus pembrolizumab alone, which is ongoing (NCT02263508; ref. 67).

In addition to IL2 and IFNα, many cytokines were also tested including type II IFNs, IL4, IL6, IL12, IL18, and IL21, FLT-3 ligand, and M-CSF. Pegylated IL10 and several forms of IL15 are currently in clinical trials (68). Although several of the cytokines produced low rates of objective responses, development as single agents has not yet proceeded beyond phase II (69, 70).

T-cell costimulatory antibodies targeting CD-137 (4–1BB), OX40, ICOS, and GITR have entered the clinic. Low rates of response were observed with urelumab (CD137 agonist antibody), but doses higher than 0.1 mg/kg were associated with liver toxicity (71). Phase II studies of other agents have not been reported. Notably, a phase I trial of agonist anti-CD40 produced objective responses in 4 of 15 (27%) on an intermittent dosing schedule but was inactive when given weekly (72), and until recently, was not pursued further as a single agent for melanoma.

Predictive biomarkers are not available for any of the above-cited agents, and it remains possible that several could be active in subsets of patients with disease progression after exposure to anti–PD-1 ± anti–CTLA-4. Many of the agents were also developed before anti–PD-1 or anti–CTLA-4 were available. Preclinical studies indicate that several of the agents when combined with anti–CTLA-4 or anti–PD-1 (or both) could address mechanisms of resistance to ICIs in subsets of patients. Anti–CTLA-4 may be important to allow optimal expansion and broadening of T-cell responses following immunization, and release of inhibitory effects on T cells by anti–PD-1 may optimize the antitumor effect of tumor antigen–specific T cells induced, expanded, and driven to the tumor microenvironment by other agents. Although most combination studies include a PD-1/PD-L1 antagonist, it is important to emphasize that meaningful antitumor activity has been observed in melanoma with high-dose IL2, anti–CTLA-4, and TIL ACT, suggesting that alternate combinations or approaches may drive T-cell activation to a threshold beyond sensitivity to PD-1 pathway inhibition.

Approximately 50% of all patients with advanced melanoma presenting for treatment will demonstrate primary or acquired resistance to anti–PD-1–based therapies (12, 36). At the time of presentation, melanoma metastases have coevolved with the antimelanoma immune response for long periods, possibly many years. The immune response to tumor is shaped by the tumor but also by host genetic factors and environmental factors such as prior pathogen exposures and the microbiome. The immune response itself is complex and involves the interaction of many types of immune cells, many molecular interactions between the cells, and includes stimulatory and inhibitory signals and actions. It is within this complex and heterogenous host–tumor immune relationship that physicians apply relatively narrow therapeutic interventions in the hope of altering the threshold for productive antitumor immune reaction. Given the relatively limited access to human tissue at baseline and after an intervention, and the technological limitations in measuring the many variables simultaneously, critical mechanisms for response and nonresponse are difficult to define, particularly for individual patients.

Studies of pretreatment tumor biopsies suggest that potential biomarkers of melanomas most responsive to anti–PD-1–based immunotherapy include increased CD8 T-cell infiltration (73), an IFNγ gene signature, or expression of PD-L1 on tumor cells or immune cells (74). While these biomarkers are challenging to incorporate into meaningful clinical practice at this time, new biomarkers are in development. The type of CD8 T cell within tumors may be important, for example, those expressing markers of earlier differentiation such as CD28 or the TCF7 transcription factor (75). The correlation of tumor mutation burden with response for melanoma is logical but there are outliers in terms of precise association and the features of mutation encoded neoantigens leading to functional immune responses are not clearly established (76–78). Lack of response has been associated with a specific transcriptional signature associated with epithelial-to-mesenchymal transition, myeloid cells, and angiogenic factors such as VEGF. Several factors outside of the tumor microenvironment appear to influence anti–PD-1 response including species of bacteria within the gut microbiome (79, 80), and various circulating protein classes such as complement, the acute phase response, and wound healing (81). Viewed another way, the mechanisms responsible for lack of response to anti–PD-1–based therapies may be grouped into several categories: lack of prior priming of naïve T cells to produce tumor antigen–specific T cells; exclusion of T cells from the tumor; lack of supportive cytokines or costimulation within the tumor; T-cell suppression caused by coinhibitory ligand-receptor interaction, by cytokines and other soluble ligands for inhibitory receptors on T cells, by suppressive myeloid cells or regulatory T cells (Tregs), or by adverse metabolic conditions such as low oxygen or glucose; and loss of tumor recognition by T cells, for example, downregulation of surface MHC molecules, antigen processing and presentation defects, or simply loss of antigen expression. Because of the many possible mechanisms, biomarkers should be prospectively incorporated into future clinical trials and validated to ultimately guide treatment for individual patients. Single-agent therapies are unlikely to address resistance alone due to the high degree of tumor heterogeneity and the complexity of the host immune–tumor relationship. Therefore, most development has focused on combination therapies.

Many combination trials are in progress or are in development, most combining with anti–PD-1 or anti–PD-L1 and a smaller number in combination with anti–CTLA-4. Targeted, chemotherapeutic, antiangiogenic, and immunotherapeutic agents have all been combined with standard ICIs. Trials have been developed for previously untreated patients, or for patients with primary or acquired resistance. In the context of single-arm phase II trials conducted in patients without prior exposure to either agent in the combination, activity is often compared with historical controls receiving the “standard” agent, either anti–PD-1 or anti–CTLA-4. Interpretation of data from the phase II trials can be confounded by unknown biases in patient selection. Caution is warranted when concluding that a combination is superior or inferior to single-agent therapy from uncontrolled phase II trials, although the results of these studies are used to proceed to and design the larger confirmatory randomized trials. Activity signals are possibly more reliable for combinations studied in acquired or primary resistance to anti–PD-1 or to anti–PD-1/anti–CTLA-4, but even in this setting low rates of late response or pseudoprogression from prior therapy, or the potential for reresponse when disease progresses after an interval off-treatment, can lead to an overestimation of the combination partner's activity (82, 83). Attention to pharmacodynamic or mechanistic activity of the combinatorial partner can be very informative, even if additional clinical activity is not observed (84). It is important to consider this point before abandoning a novel combination approach, which may be enhanced with additional agents or alterations in dosing.

Although it is outside the scope of this review to describe all the ongoing combinations, several approaches to address potential major mechanisms of nonresponse to anti–PD-1 or anti–PD-1/anti–CTLA-4 combination are illustrative of broader efforts. The approaches include blockade of other coinhibitory ligand-receptor pathways, blockade of various other T-cell–inhibitory mechanisms in the tumor microenvironment, modulation of inhibitory immune cells, delivery of key proliferative or other agonist signals to T cells, and approaches to increase or broaden the antigen-specific T-cell response including immunization or ACT.

LAG-3

Lymphocyte activation gene-3 (LAG-3) is a T-cell–associated inhibitory checkpoint molecule coexpressed with PD-1 that regulates immune tolerance and T-cell homeostasis. Preclinical studies have demonstrated that dual PD-1 and LAG-3 blockade synergistically stimulate T-cell responses and decrease tumor burden more than either agent alone (85–87). LAG-3 was the third inhibitory receptor, after CTLA-4 and PD-1, to be targeted with mAbs in clinic trials starting in 2013 and multiple LAG-3 inhibitors are now in development (BMS-986016, LAG525, and MK-4280; ref. 88).

A phase I/II trial studying anti–LAG-3 (BMS-986016) 80 mg plus nivolumab (NCT01968109) in patients with advanced melanoma whose disease progressed on anti–PD-1/PD-L1 demonstrated ORR of 11.5% [1 CR, 6 partial responses (PR)]. ORR was 3.5-fold higher in patients whose tumors had greater than or equal to 1% positivity for LAG-3 expression, compared with those who were LAG-3 negative (ORR 18% vs. 5%) but was unrelated to PD-L1 status. Treatment was well tolerated, with only a 4% rate of grade 3 or 4 treatment-related AEs (89). On the basis of this data, a phase II/III study of relatlimab (BMS-986016) plus nivolumab versus nivolumab alone is now recruiting treatment-naïve patients with advanced melanoma (NCT03470922).

IDO

Indoleamine 2,3-dioxygenase 1 (IDO1) is an IFN-inducible enzyme that catabolizes tryptophan and promotes tumor-mediated immunosuppression. IDO1 is overexpressed in cancers including melanoma and inhibition of IDO1 is thought to shift the tumor microenvironment from a tumor-promoting inflammatory state to one of immune stimulation (90). The selective IDO1 inhibitor epacadostat was combined with pembrolizumab in the phase I/II ECHO-202/KEYNOTE-037 study in multiple tumor types including treatment-naïve patients with advanced melanoma (91).

As of October 2017, ORR for 50 patients enrolled on the phase II study was 62% (9 CR, 22 PR) with responses observed in both PD-L1–positive and -negative patients (ORR 70% vs. 56%). Twelve-month PFS and OS rates were 63% and 92%, respectively, and treatment was well tolerated (92). These promising results of similar efficacy to dual ICIs with lower toxicity led to the Phase III ECHO-301/KEYNOTE-252 study in which 706 treatment-naïve patients with advanced melanoma were randomized 1:1 to pembrolizumab combined with either epacadostat or matched placebo. Unexpectedly, there were no differences between the epacadostat and placebo arms for ORR (34% vs. 31%) or 12-month PFS (37% for both) (93). This disappointing data resulted in cancellation and/or downsizing of multiple clinical trials studying IDO inhibition in melanoma, although more work is needed to identify the specific subset of patients that may respond due to specific dependence on the IDO pathway for escape from immune surveillance.

CSF-1R and CD40

Immunotherapies including CSF1R inhibitors (CSF1Ri) and CD40 agonists (CD40α) target innate immune cells such as macrophages. Preclinical studies have supported the hypothesis that tumor-associated macrophages may confer resistance to ICIs (94). Macrophage colony-stimulating factor 1 (CSF-1) is chemotactic signal that stimulates monocyte tumor infiltration and macrophage differentiation (95, 96). Increased CSF-1 and CSF1R expression has been associated with a poor prognosis (97). CD40 is expressed on macrophages and other antigen-presenting cells (APC) and binds to CD40L on T cells. CD40 agonists increase the tumoricidal activity of macrophages and stimulate maturation of APCs. In a poorly immunogenic melanoma mouse model, combination CSF1Ri and CD40α suppressed tumor growth more than either agent alone and did so in a T-cell–independent fashion (98). A phase I/Ib trial (NCT03502330) is currently studying the safety and efficacy of the CSF1Ri cabiralizumab combined with the CD40α APX005M with or without nivolumab in patients with advanced melanoma, renal cell carcinoma, or non–small-cell lung cancer whose disease has progressed on anti–PD-1/PD-L1.

4-1BB

4-1BB (CD137/TNFSF9) is a costimulatory receptor and member of the TNF receptor family that is expressed on both innate and adaptive immune cells (99). 4-1BB agonism promotes CD8+ T-cell proliferation, enhances TCR signaling, and induces immunologic memory (100, 101). Therapeutic approaches combining a 4-1BB agonist with and without ICIs have been established in preclinical models (101, 102). A phase I dose-escalation study of BMS-663513 (anti–4-1BB, urelumab) in advanced solid malignancies enrolled 83 patients of whom 54 had melanoma and demonstrated clinical activity including 3 PRs in patients with melanoma (103). However, the follow-up phase II study of second-line BMS-663513 for melanoma was terminated early due to an increased incidence of grade 4 hepatitis. This resulted in withdrawal of several other trials that planned to study 4-1BB agonists at that time (100), but retrospective analyses revealed that hepatic toxicity was dose related, and trials of urelumab were reinitiated at a dose of 0.1 mg/kg (71). Data from preclinical models have suggested that irAEs are significantly reduced when 4-1BB agonists are combined with ICIs (104). A phase I/II trial combining urelumab and nivolumab in patients with advanced melanoma reported a 50% ORR [Society for Immunotherapy of Cancer (SITC) 2016] and several studies are planned or currently recruiting that are studying combinations of 4-1BB with other immunomodulatory approaches.

NKTR-214

NKTR-214 is a CD122 agonist and prodrug composed of IL2 conjugated to 6 releasable polyethylene glycol (PEG) chains that increases T-cell and NK-cell proliferation and enhances PD-1 expression. In melanoma mouse models, NKTR-214 increased antitumor efficacy and decreased toxicity compared with aldesleukin (105). NKTR-214 monotherapy demonstrated minimal clinical activity in a phase I/II trial but led to PIVOT-02, a phase I/II trial of NKTR-214 and nivolumab in patients with locally advanced or metastatic tumors including melanoma (NCT02983045). As of May 2018, ORR was 50% for the immunotherapy-naïve melanoma cohort in the stage II portion of the trial. ORR for PD-L1–negative and -positive patients was 42% and 62%, respectively. Eighty-percent of patients had a normal LDH, one-third had liver metastases, and disease stage in most patients was M1b or M1c. Data from PIVOT-02 for patients with immunotherapy-refractory melanoma is not yet available. PIVOT-02 is also now recruiting patients treated with NKTR-214 in combination with nivolumab and ipilimumab. Randomized trials are planned and will be necessary to determine the contribution of NKTR-214 to the baseline effect of anti–PD-1.

TLR agonists

TLR stimulation can enhance antigen presentation and stimulate immune activation (106). ILLUMINATE-204 is a phase II study (NCT02644967) of the TLR-9 agonist IMO-2125 administered intratumorally in combination with ipilimumab or pembrolizumab in patients with PD-1 refractory advanced melanoma. A preliminary ORR of 47% in 15 evaluable patients merits further evaluation and accrual is ongoing (107). A phase III trial of IMO-2125 plus ipilimumab versus ipilimumab alone in patients with anti–PD-1 refractory melanoma (ILLUMINATE-301) is also currently recruiting patients (NCT03445533).

In the same refractory population, CMP-001, a CpG-A oligodeoxynucleotide and TLR9 agonist, is being studied by intratumoral injection in combination with pembrolizumab in a phase Ib trial (108). Preliminary data show ORR of 40% with tumor reduction occurring in both injected and noninjected lesions, with most responses lasting over 6 months. These studies suggest that intratumoral injection of TLR9 agonists, and possibly other agents such as oncolytic viruses or STING agonists, could induce antigen presentation and systemic T-cell responses in patients whose tumors have little or no baseline immune infiltrate.

ACT

Given the high rate of activity of the ICIs as first-line therapies, and the clinical and technical challenges of ACT, current studies of ACT are primarily focused on patients resistant or nontolerant to the ICIs. For TIL ACT, clinical responses are limited by the quality and quantity of tumor-resident antigen-specific T cells, and after ex vivo expansion, their ability to reach and infiltrate the tumor and subsequently overcome immunosuppressive factors in the tumor microenvironment (109). In a phase II trial (NCT02360579), 9 ICI-resistant patients treated with ACT had ORR of 33% after an albeit short median follow-up of 3.6 months (110) and the trial is ongoing. In a separate single-institution study, 74 patients treated with ACT had ORR of 43%. When responses were grouped on the basis of prior treatment, ORR was 51% in treatment-naïve patients and 33% in patients who received prior ipilimumab, who also had decreased OS post-ACT (24.6 vs. 7.7 months). There were not enough patients to analyze impact of prior anti–PD-1 monotherapy on outcomes (111). In the first trial of TIL produced by shipment to and from a central facility, ORR was 38% among 47 patients, most of whom had received prior anti–PD-1 alone or in combination with ipilimumab (112). Activity of TIL in this setting is encouraging and provides the foundation for future approaches that combine with ICIs or improve cell properties through genetic engineering such as with TCR-engineered T cells targeting differentiation and cancer-testes antigens (113).

Targeted agents

Of note, ICIs are also being studied in combination with inhibitors of the MAPK pathway (NCT02027961, NCT02967692, NCT02908672, NCT03273153). Controversy exists over the impact of adding MAPK pathway inhibitors to ICIs. While several preclinical studies initially reported that MAPK inhibitors can positively modulate the immune microenvironment (114), more recent data have demonstrated that PD-1–resistant melanomas have a transcriptional signature consistent with innate anti–PD-1 resistance (IPRES), defined as having upregulation of genes modulating mesenchymal transition, cell adhesion, angiogenesis, and extracellular matrix remodeling. This IPRES signature is very similar to that induced by combined BRAF/MEK or BRAF inhibition, suggesting that these drugs may mediate resistance to anti–PD-1 (81). The phase II KEYNOTE-022 study randomized patients with BRAF-mutant melanoma to dabrafenib and trametinib plus pembrolizumab or placebo. The primary outcome of PFS was 16 months for the pembrolizumab arm and 10.3 months for the placebo arm (HR 0.66), but this outcome did not reach significance for the prespecified HR goal. In addition, the triplet combination was more toxic with 58% of patients experiencing grade 3–5 adverse events (115).

There is also evidence that MEK inhibition alone may improve T-cell function and enhance antigen presentation and thereby may improve the effect of anti–PD-1/PD-L1 therapies (116). Using this rationale, a phase Ib trial reported ORR of 45% for combined atezolizumab and cobimetinib in patients with BRAF-mutant and wild-type advanced melanoma (117). Ultimately, optimal dosing and complex sequencing issues for ICIs and MAPK inhibitors will need to be addressed in future studies.

The ultimate goal of immunotherapy treatment in patients with advanced melanoma is to eradicate the disease and/or produce long-term durable responses. Given the complexity of the antitumor immune response, combination rather than single-agent strategies will likely dominate the investigational trial landscape.

For those who respond to ICIs, optimal duration of treatment is unknown but is crucial to understand from quality of life, toxicity, and health economics perspectives. Multiple studies suggest that a limited rather than indefinite course of ICIs may be sufficient to provide meaningful durable responses (12). For example, 90% of patients who developed a CR on pembrolizumab remained disease-free after a 2-year median follow-up from drug discontinuation (118). This can be true even for patients who do not develop a CR. In KEYNOTE-006, after median 9-month follow-up of patients who completed pembrolizumab treatment, PFS rates were 95%, 91%, and 83% in patients with a CR, PR, and SD (119). It is highly encouraging that even those patients without a CR who discontinue ICIs can be free of disease progression. Besides clinical implications, length of treatment raises broader economic concerns. Drug costs alone for 6 months of anti–PD-1 can reach $145,000 per patient, costs rise steeply with dual ICIs and subsequent toxicity management, and this will become financially unsustainable as more patients with many different malignancies have access to ICIs (17, 18).

For those patients who develop resistance to ICIs, new combinatorial strategies are in high demand and must be rationally based on biologic mechanisms of resistance. Particularly important is how to overcome a noninflamed tumor microenvironment and specific targets are currently under study from multiple mechanistic angles. For example, intratumoral STING and TLR agonists are being used to promote innate immunity, anti-CD40 agonists and CSF1R inhibitors to bridge innate and adaptive immunity, STAT3 inhibitors to inhibit immunosuppressive oncogene pathways, probiotics to reverse immunosuppression in the microbiome, and many more, often in combination with a PD-1 backbone, representing the next wave of treatment approaches in immuno-oncology (120). Optimizing clinical outcomes for special populations such as patients with mucosal and ocular melanomas, which are less responsive to ICIs, is also needed.

Tremendous scientific progress has been made in the past 10 years in understanding how to manipulate the immune system to improve outcomes in melanoma and has translated into unprecedented clinical success. Despite the major hurdles of resistance to ICIs, the challenges are defined and are being actively investigated. Ultimately, predictive biomarkers will need to personalize and guide treatment decisions for each individual patient with melanoma.

S.A. Weiss is a consultant/advisory board member for Array BioPharma and Magellan Rx. J.D. Wolchok reports receiving commercial research grants from Bristol-Myers Squibb, MedImmune, and Genentech, speakers bureau honoraria from Esanex, holds ownership interest (including patents) in Potenza, Tizona Pharmaceuticals, Adaptive, Elucida, Imvaq, Beigene, Trieza, Serametrix, and Linneaus, and is a consultant/advisory board member for Adaptive, Advaxis, Amgen, Apricity, Array BioPharma, Ascentage, Astellas, Bayer, Beigene, Bristol-Myers Squibb, Celgene, Chugai, Elucida, Eli Lilly, F Star, Imvaq, Janssen, Kleo Pharma, Linneaus, Neon Therapeutics, Ono Pharma, Polaris Pharma, Polynoma, Psioxus, Puretech, Recepta, Sellas, Serametrix, Surface Oncology, Syndax, Tizona, and Merck. M. Sznol holds stock options in Torque, Amphivena, Adaptive Biotechnologies, Intensity, and Actym, and is a consultant/advisory board member for Genentech/Roche, Bristol-Myers Squibb, AstraZeneca/MedImmune, Biodesix, Modulate Therapeutics, Newlink Genetics, Molecular Partners, Innate Pharma, AbbVie, Immunocore, Genmab, Almac, Hinge, Allakos, Anaeropharma, Array, Symphogen, Adaptimmune, Omniox, Pieris, Verseau, Torque, Lycera, Pfizer, Kyowa-Kirin, Pierre-Fabre, Merck, Theravance, Vaccinex, Janssen/Johnson & Johnson, Baxalta-Shire, Incyte, Lion Biotechnologies (Iovance), Agonox, Arbutus, Celldex, Inovio, Gritstone, Amphivena, Adaptive Biotechnologies, Intensity, and Actym. No other potential conflicts of interest were disclosed.

S. Weiss acknowledges NIH (NCI) research support from K12 CA215110.

1.
Guy
GP
 Jr
,
Thomas
CC
,
Thompson
T
,
Watson
M
,
Massetti
GM
,
Richardson
LC
. 
Vital signs: melanoma incidence and mortality trends and projections - United States, 1982-2030
.
MMWR Morb Mortal Wkly Rep
2015
;
64
:
591
6
.
2.
Siegel
RL
,
Miller
KD
,
Jemal
A
. 
Cancer statistics, 2018
.
CA Cancer J Clin
2018
;
68
:
7
30
.
3.
Brenner
M
,
Hearing
VJ.
The protective role of melanin against UV damage in human skin
.
Photochem Photobiol
2008
;
84
:
539
49
.
4.
Kawakami
Y
,
Rosenberg
SA.
T-cell recognition of self peptides as tumor rejection antigens
.
Immunol Res
1996
;
15
:
179
90
.
5.
Faramarzi
S
,
Ghafouri-Fard
S
. 
Melanoma: a prototype of cancer-testis antigen-expressing malignancies
.
Immunotherapy
2017
;
9
:
1103
13
.
6.
Atkins
MB
,
Kunkel
L
,
Sznol
M
,
Rosenberg
SA
. 
High-dose recombinant interleukin-2 therapy in patients with metastatic melanoma: long-term survival update
.
Cancer J Sci Am
2000
;
6
:
S11
4
.
7.
Kirkwood
JM
,
Ibrahim
JG
,
Sosman
JA
,
Sondak
VK
,
Agarwala
SS
,
Ernstoff
MS
, et al
High-dose interferon alfa-2b significantly prolongs relapse-free and overall survival compared with the GM2-KLH/QS-21 vaccine in patients with resected stage IIB-III melanoma: results of intergroup trial E1694/S9512/C509801
.
J Clin Oncol
2001
;
19
:
2370
80
.
8.
Kirkwood
JM
,
Strawderman
MH
,
Ernstoff
MS
,
Smith
TJ
,
Borden
EC
,
Blum
RH
. 
Interferon alfa-2b adjuvant therapy of high-risk resected cutaneous melanoma: the Eastern Cooperative Oncology Group Trial EST 1684
.
J Clin Oncol
1996
;
14
:
7
17
.
9.
Dudley
ME
,
Gross
CA
,
Somerville
RP
,
Hong
Y
,
Schaub
NP
,
Rosati
SF
, et al
Randomized selection design trial evaluating CD8+-enriched versus unselected tumor-infiltrating lymphocytes for adoptive cell therapy for patients with melanoma
.
J Clin Oncol
2013
;
31
:
2152
9
.
10.
Dudley
ME
,
Wunderlich
JR
,
Yang
JC
,
Sherry
RM
,
Topalian
SL
,
Restifo
NP
, et al
Adoptive cell transfer therapy following non-myeloablative but lymphodepleting chemotherapy for the treatment of patients with refractory metastatic melanoma
.
J Clin Oncol
2005
;
23
:
2346
57
.
11.
Rosenberg
SA
,
Yang
JC
,
Sherry
RM
,
Kammula
US
,
Hughes
MS
,
Phan
GQ
, et al
Durable complete responses in heavily pretreated patients with metastatic melanoma using T-cell transfer immunotherapy
.
Clin Cancer Res
2011
;
17
:
4550
7
.
12.
Wolchok
JD
,
Chiarion-Sileni
V
,
Gonzalez
R
,
Rutkowski
P
,
Grob
JJ
,
Cowey
CL
, et al
Overall survival with combined nivolumab and ipilimumab in advanced melanoma
.
N Engl J Med
2017
;
377
:
1345
56
.
13.
Hamid
O
,
Robert
C
,
Daud
A
,
Hodi
FS
,
Hwu
W-J
,
Kefford
R
, et al
5-year survival outcomes in patients (pts) with advanced melanoma treated with pembrolizumab (pembro) in KEYNOTE-001
.
J Clin Oncol
36
, 
2018
(suppl; abstr 9516).
14.
Hodi
FS
,
Chiarion-Sileni
V
,
Gonzalez
R
,
Grob
JJ
,
Rutkowski
P
,
Cowey
CL
, et al
Nivolumab plus ipilimumab or nivolumab alone versus ipilimumab alone in advanced melanoma (CheckMate 067): 4-year outcomes of a multicentre, randomised, phase 3 trial
.
Lancet Oncol
2018
;
19
:
1480
92
.
15.
Robert
C
,
Schachter
J
,
Long
GV
,
Arance
A
,
Grob
JJ
,
Mortier
L
, et al
Pembrolizumab versus ipilimumab in advanced melanoma
.
N Engl J Med
2015
;
372
:
2521
32
.
16.
Larkin
J
,
Chiarion-Sileni
V
,
Gonzalez
R
,
Grob
JJ
,
Cowey
CL
,
Lao
CD
, et al
Combined nivolumab and ipilimumab or monotherapy in untreated melanoma
.
N Engl J Med
2015
;
373
:
23
34
.
17.
Tartari
F
,
Santoni
M
,
Burattini
L
,
Mazzanti
P
,
Onofri
A
,
Berardi
R
. 
Economic sustainability of anti-PD-1 agents nivolumab and pembrolizumab in cancer patients: recent insights and future challenges
.
Cancer Treat Rev
2016
;
48
:
20
4
.
18.
Andrews
A.
Treating with checkpoint inhibitors—figure $1 million per patient
.
Am Health Drug Benefits
2015
;
8
:
9
.
19.
Rosenberg
SA
. 
IL-2: the first effective immunotherapy for human cancer
.
J Immunol
2014
;
192
:
5451
8
.
20.
Hurst
JH.
Cancer immunotherapy innovator James Allison receives the 2015 Lasker∼DeBakey Clinical Medical Research Award
.
J Clin Invest
2015
;
125
:
3732
6
.
21.
Chae
YK
,
Arya
A
,
Iams
W
,
Cruz
MR
,
Chandra
S
,
Choi
J
, et al
Current landscape and future of dual anti-CTLA4 and PD-1/PD-L1 blockade immunotherapy in cancer; lessons learned from clinical trials with melanoma and non-small cell lung cancer (NSCLC)
.
J ImmunoThera Cancer
2018
;
6
:
39
.
22.
Chen
L
,
Flies
DB.
Molecular mechanisms of T cell co-stimulation and co-inhibition
.
Nat Rev Immunol
2013
;
13
:
227
42
.
23.
Wolchok
JD
,
Kluger
H
,
Callahan
MK
,
Postow
MA
,
Rizvi
NA
,
Lesokhin
AM
, et al
Nivolumab plus ipilimumab in advanced melanoma
.
N Engl J Med
2013
;
369
:
122
33
.
24.
Hodi
FS
,
O'Day
SJ
,
McDermott
DF
,
Weber
RW
,
Sosman
JA
,
Haanen
JB
, et al
Improved survival with ipilimumab in patients with metastatic melanoma
.
N Engl J Med
2010
;
363
:
711
23
.
25.
Ribas
A
,
Kefford
R
,
Marshall
MA
,
Punt
CJ
,
Haanen
JB
,
Marmol
M
, et al
Phase III randomized clinical trial comparing tremelimumab with standard-of-care chemotherapy in patients with advanced melanoma
.
J Clin Oncol
2013
;
31
:
616
22
.
26.
Wolchok
JD
,
Hoos
A
,
O'Day
S
,
Weber
JS
,
Hamid
O
,
Lebbe
C
, et al
Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria
.
Clin Cancer Res
2009
;
15
:
7412
20
.
27.
Chiou
VL
,
Burotto
M.
Pseudoprogression and immune-related response in solid tumors
.
J Clin Oncol
2015
;
33
:
3541
3
.
28.
Hodi
FS
,
Ballinger
M
,
Lyons
B
,
Soria
JC
,
Nishino
M
,
Tabernero
J
, et al
Immune-Modified Response Evaluation Criteria In Solid Tumors (imRECIST): refining guidelines to assess the clinical benefit of cancer immunotherapy
.
J Clin Oncol
2018
;
36
:
850
8
.
29.
Kato
S
,
Goodman
A
,
Walavalkar
V
,
Barkauskas
DA
,
Sharabi
A
,
Kurzrock
R
. 
Hyperprogressors after immunotherapy: analysis of genomic alterations associated with accelerated growth rate
.
Clin Cancer Res
2017
;
23
:
4242
50
.
30.
Champiat
S
,
Dercle
L
,
Ammari
S
,
Massard
C
,
Hollebecque
A
,
Postel-Vinay
S
, et al
Hyperprogressive disease is a new pattern of progression in cancer patients treated by Anti-PD-1/PD-L1
.
Clin Cancer Res
2017
;
23
:
1920
8
.
31.
Nishino
M
,
Giobbie-Hurder
A
,
Gargano
M
,
Suda
M
,
Ramaiya
NH
,
Hodi
FS
. 
Developing a common language for tumor response to immunotherapy: immune-related response criteria using unidimensional measurements
.
Clin Cancer Res
2013
;
19
:
3936
43
.
32.
Seymour
L
,
Bogaerts
J
,
Perrone
A
,
Ford
R
,
Schwartz
LH
,
Mandrekar
S
, et al
iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics
.
Lancet Oncol
2017
;
18
:
e143
e52
.
33.
Saada-Bouzid
E
,
Defaucheux
C
,
Karabajakian
A
,
Coloma
VP
,
Servois
V
,
Paoletti
X
, et al
Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinoma
.
Ann Oncol
2017
;
28
:
1605
11
.
34.
Schadendorf
D
,
Hodi
FS
,
Robert
C
,
Weber
JS
,
Margolin
K
,
Hamid
O
, et al
Pooled analysis of long-term survival data from phase II and phase III trials of ipilimumab in unresectable or metastatic melanoma
.
J Clin Oncol
2015
;
33
:
1889
94
.
35.
Ascierto
PA
,
Del Vecchio
M
,
Robert
C
,
Mackiewicz
A
,
Chiarion-Sileni
V
,
Arance
A
, et al
Ipilimumab 10 mg/kg versus ipilimumab 3 mg/kg in patients with unresectable or metastatic melanoma: a randomised, double-blind, multicentre, phase 3 trial
.
Lancet Oncol
2017
;
18
:
611
22
.
36.
Schachter
J
,
Ribas
A
,
Long
GV
,
Arance
A
,
Grob
JJ
,
Mortier
L
, et al
Pembrolizumab versus ipilimumab for advanced melanoma: final overall survival results of a multicentre, randomised, open-label phase 3 study (KEYNOTE-006)
.
Lancet
2017
;
390
:
1853
62
.
37.
Ascierto
PA
,
Long
GV
,
Robert
C
,
Brady
B
,
Dutriaux
C
,
Di Giacomo
AM
, et al
Survival outcomes in patients with previously untreated BRAF wild-type advanced melanoma treated with nivolumab therapy: three-year follow-up of a randomized phase 3 trial
.
JAMA Oncol
2018 Oct 25 [Epub ahead of print]
.
38.
Long
GV
,
Schachter
J
,
Ribas
A
,
Arance
AM
,
Grob
J-J
,
Mortier
L
, et al
4-year survival and outcomes after cessation of pembrolizumab (pembro) after 2-years in patients (pts) with ipilimumab (ipi)-naive advanced melanoma in KEYNOTE-006
.
J Clin Oncol
36
, 
2018 (
suppl; abstr 9503)
.
39.
Hodi FS
KH
,
Sznol
M
,
Carvajal
R
,
Lawrence
D
,
Atkins
M
, et al
Durable, long-term survival in previously treated patients with advanced melanoma (MEL) who received nivolumab (NIVO) monotherapy in a phase I trial AACR Annual Meeting 2016 [abstract]
. In:
Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16–20
;
New Orleans, LA. Philadelphia (PA)
:
AACR; 2016. Abstract nr CT001
.
40.
Eroglu
Z
,
Zaretsky
JM
,
Hu-Lieskovan
S
,
Kim
DW
,
Algazi
A
,
Johnson
DB
, et al
High response rate to PD-1 blockade in desmoplastic melanomas
.
Nature
2018
;
553
:
347
50
.
41.
Kluger
HM
,
Chiang
V
,
Mahajan
A
,
Zito
CR
,
Sznol
M
,
Tran
T
, et al
Long-term survival of patients with melanoma with active brain metastases treated with pembrolizumab on a phase II trial
.
J Clin Oncol
2019
;
37
:
52
60
.
42.
Schadendorf
D
,
Wolchok
JD
,
Hodi
FS
,
Chiarion-Sileni
V
,
Gonzalez
R
,
Rutkowski
P
, et al
Efficacy and safety outcomes in patients with advanced melanoma who discontinued treatment with nivolumab and ipilimumab because of adverse events: a pooled analysis of randomized phase II and III Trials
.
J Clin Oncol
2017
;
35
:
3807
14
.
43.
Kirchberger
MC
,
Hauschild
A
,
Schuler
G
,
Heinzerling
L
. 
Combined low-dose ipilimumab and pembrolizumab after sequential ipilimumab and pembrolizumab failure in advanced melanoma
.
Eur J Cancer
2016
;
65
:
182
4
.
44.
Long
GV
,
Atkinson
V
,
Cebon
JS
,
Jameson
MB
,
Fitzharris
BM
,
McNeil
CM
, et al
Standard-dose pembrolizumab in combination with reduced-dose ipilimumab for patients with advanced melanoma (KEYNOTE-029): an open-label, phase 1b trial
.
Lancet Oncol
2017
;
18
:
1202
10
.
45.
Weber
JS
,
Gibney
G
,
Sullivan
RJ
,
Sosman
JA
,
Slingluff
CL
 Jr.
,
Lawrence
DP
, et al
Sequential administration of nivolumab and ipilimumab with a planned switch in patients with advanced melanoma (CheckMate 064): an open-label, randomised, phase 2 trial
.
Lancet Oncol
2016
;
17
:
943
55
.
46.
Zimmer
L
,
Apuri
S
,
Eroglu
Z
,
Kottschade
LA
,
Forschner
A
,
Gutzmer
R
, et al
Ipilimumab alone or in combination with nivolumab after progression on anti-PD-1 therapy in advanced melanoma
.
Eur J Cancer
2017
;
75
:
47
55
.
47.
Long
GV
,
Robert
C
,
Blank
C
,
Ribas
A
,
Mortier
L
,
Schachter
J
, et al
Outcomes in patients treated with ipilimumab after pembrolizumab in KEYNOTE-006
.
Eur J Cancer
2017
;
72
:
S128
S129
.
48.
Tawbi
HA
,
Forsyth
PA
,
Algazi
A
,
Hamid
O
,
Hodi
FS
,
Moschos
SJ
, et al
Combined nivolumab and ipilimumab in melanoma metastatic to the brain
.
N Engl J Med
2018
;
379
:
722
30
.
49.
Long
GV
,
Atkinson
V
,
Lo
S
,
Sandhu
S
,
Guminski
AD
,
Brown
MP
, et al
Combination nivolumab and ipilimumab or nivolumab alone in melanoma brain metastases: a multicentre randomised phase 2 study
.
Lancet Oncol
2018
;
19
:
672
81
.
50.
Amaria
RN
,
Reddy
SM
,
Tawbi
HA
,
Davies
MA
,
Ross
MI
,
Glitza
IC
, et al
Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma
.
Nat Med
2018
;
24
:
1649
54
.
51.
D'Angelo
SP
,
Larkin
J
,
Sosman
JA
,
Lebbe
C
,
Brady
B
,
Neyns
B
, et al
Efficacy and safety of nivolumab alone or in combination with ipilimumab in patients with mucosal melanoma: a pooled analysis
.
J Clin Oncol
2017
;
35
:
226
35
.
52.
Javed
A
,
Arguello
D
,
Johnston
C
,
Gatalica
Z
,
Terai
M
,
Weight
RM
, et al
PD-L1 expression in tumor metastasis is different between uveal melanoma and cutaneous melanoma
.
Immunotherapy
2017
;
9
:
1323
30
.
53.
Zimmer
L
,
Vaubel
J
,
Mohr
P
,
Hauschild
A
,
Utikal
J
,
Simon
J
, et al
Phase II DeCOG-study of ipilimumab in pretreated and treatment-naive patients with metastatic uveal melanoma
.
PLoS One
2015
;
10
:
e0118564
.
54.
Algazi
AP
,
Tsai
KK
,
Shoushtari
AN
,
Munhoz
RR
,
Eroglu
Z
,
Piulats
JM
, et al
Clinical outcomes in metastatic uveal melanoma treated with PD-1 and PD-L1 antibodies
.
Cancer
2016
;
122
:
3344
53
.
55.
Robertson
AG
,
Shih
J
,
Yau
C
,
Gibb
EA
,
Oba
J
,
Mungall
KL
, et al
Integrative analysis identifies four molecular and clinical subsets in uveal melanoma
.
Cancer Cell
2017
;
32
:
204
20
.
56.
Kaufman
HL
,
Margolin
K
,
Sullivan
R
. 
Management of metastatic melanoma in 2018
.
JAMA Oncol
2018
;
4
:
857
8
.
57.
Eggermont
AM
,
Suciu
S
,
Testori
A
,
Santinami
M
,
Kruit
WH
,
Marsden
J
, et al
Long-term results of the randomized phase III trial EORTC 18991 of adjuvant therapy with pegylated interferon alfa-2b versus observation in resected stage III melanoma
.
J Clin Oncol
2012
;
30
:
3810
8
.
58.
Eggermont
AM
,
Chiarion-Sileni
V
,
Grob
JJ
,
Dummer
R
,
Wolchok
JD
,
Schmidt
H
, et al
Prolonged survival in stage III melanoma with ipilimumab adjuvant therapy
.
N Engl J Med
2016
;
375
:
1845
55
.
59.
Weber
J
,
Mandala
M
,
Del Vecchio
M
,
Gogas
HJ
,
Arance
AM
,
Cowey
CL
, et al
Adjuvant nivolumab versus ipilimumab in resected stage III or IV melanoma
.
N Engl J Med
2017
;
377
:
1824
35
.
60.
Eggermont
AMM
,
Blank
CU
,
Mandala
M
,
Long
GV
,
Atkinson
V
,
Dalle
S
, et al
Adjuvant pembrolizumab versus placebo in resected stage III melanoma
.
N Engl J Med
2018
;
378
:
1789
801
.
61.
Hauschild
A
,
Dummer
R
,
Schadendorf
D
,
Santinami
M
,
Atkinson
V
,
Mandala
M
, et al
Longer follow-up confirms relapse-free survival benefit with adjuvant dabrafenib plus trametinib in patients with resected BRAF V600-mutant stage III melanoma
.
J Clin Oncol
2018
;
36
:
3441
49
.
62.
Ozao-Choy
J
,
Lee
DJ
,
Faries
MB
. 
Melanoma vaccines: mixed past, promising future
.
Surg Clin North Am
2014
;
94
:
1017
30
.
63.
Hellmann
MD
,
Snyder
A
. 
Making it personal: neoantigen vaccines in metastatic melanoma
.
Immunity
2017
;
47
:
221
3
.
64.
Ott
PA
,
Hu
Z
,
Keskin
DB
,
Shukla
SA
,
Sun
J
,
Bozym
DJ
, et al
An immunogenic personal neoantigen vaccine for patients with melanoma
.
Nature
2017
;
547
:
217
21
.
65.
Andtbacka
RH
,
Kaufman
HL
,
Collichio
F
,
Amatruda
T
,
Senzer
N
,
Chesney
J
, et al
Talimogene laherparepvec improves durable response rate in patients with advanced melanoma
.
J Clin Oncol
2015
;
33
:
2780
8
.
66.
Andtbacka
RH
,
Ross
M
,
Puzanov
I
,
Milhem
M
,
Collichio
F
,
Delman
KA
, et al
Patterns of clinical response with talimogene laherparepvec (T-VEC) in patients with melanoma treated in the OPTiM phase III clinical trial
.
Ann Surg Oncol
2016
;
23
:
4169
77
.
67.
Chesney
J
,
Puzanov
I
,
Collichio
F
,
Singh
P
,
Milhem
MM
,
Glaspy
J
, et al
Randomized, open-label phase II study evaluating the efficacy and safety of talimogene laherparepvec in combination with ipilimumab versus ipilimumab alone in patients with advanced, unresectable melanoma
.
J Clin Oncol
2018
;
36
:
1658
67
.
68.
Hu
Q
,
Ye
X
,
Qu
X
,
Cui
D
,
Zhang
L
,
Xu
Z
, et al
Discovery of a novel IL-15 based protein with improved developability and efficacy for cancer immunotherapy
.
Sci Rep
2018
;
8
:
7675
.
69.
Conlon
KC
,
Lugli
E
,
Welles
HC
,
Rosenberg
SA
,
Fojo
AT
,
Morris
JC
, et al
Redistribution, hyperproliferation, activation of natural killer cells and CD8 T cells, and cytokine production during first-in-human clinical trial of recombinant human interleukin-15 in patients with cancer
.
J Clin Oncol
2015
;
33
:
74
82
.
70.
Margolin
K
,
Morishima
C
,
Velcheti
V
,
Miller
JS
,
Lee
SM
,
Silk
AW
, et al
Phase I trial of ALT-803, a novel recombinant IL15 complex, in patients with advanced solid tumors
.
Clin Cancer Res
2018
;
24
:
5552
61
.
71.
Segal
NH
,
Logan
TF
,
Hodi
FS
,
McDermott
D
,
Melero
I
,
Hamid
O
, et al
Results from an integrated safety analysis of urelumab, an agonist anti-CD137 monoclonal antibody
.
Clin Cancer Res
2017
;
23
:
1929
36
.
72.
Vonderheide
RH
,
Flaherty
KT
,
Khalil
M
,
Stumacher
MS
,
Bajor
DL
,
Hutnick
NA
, et al
Clinical activity and immune modulation in cancer patients treated with CP-870,893, a novel CD40 agonist monoclonal antibody
.
J Clin Oncol
2007
;
25
:
876
83
.
73.
Tumeh
PC
,
Harview
CL
,
Yearley
JH
,
Shintaku
IP
,
Taylor
EJ
,
Robert
L
, et al
PD-1 blockade induces responses by inhibiting adaptive immune resistance
.
Nature
2014
;
515
:
568
71
.
74.
Topalian
SL
,
Hodi
FS
,
Brahmer
JR
,
Gettinger
SN
,
Smith
DC
,
McDermott
DF
, et al
Safety, activity, and immune correlates of anti-PD-1 antibody in cancer
.
N Engl J Med
2012
;
366
:
2443
54
.
75.
Sade-Feldman
M
,
Yizhak
K
,
Bjorgaard
SL
,
Ray
JP
,
de Boer
CG
,
Jenkins
RW
, et al
Defining T cell states associated with response to checkpoint immunotherapy in melanoma
.
Cell
2018
;
175
:
998
1013
.
76.
Yarchoan
M
,
Hopkins
A
,
Jaffee
EM
. 
Tumor mutational burden and response rate to PD-1 inhibition
.
N Engl J Med
2017
;
377
:
2500
1
.
77.
Alexandrov
LB
,
Nik-Zainal
S
,
Wedge
DC
,
Aparicio
SA
,
Behjati
S
,
Biankin
AV
, et al
Signatures of mutational processes in human cancer
.
Nature
2013
;
500
:
415
21
.
78.
Snyder
A
,
Makarov
V
,
Merghoub
T
,
Yuan
J
,
Zaretsky
JM
,
Desrichard
A
, et al
Genetic basis for clinical response to CTLA-4 blockade in melanoma
.
N Engl J Med
2014
;
371
:
2189
99
.
79.
Sivan
A
,
Corrales
L
,
Hubert
N
,
Williams
JB
,
Aquino-Michaels
K
,
Earley
ZM
, et al
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti-PD-L1 efficacy
.
Science
2015
;
350
:
1084
9
.
80.
Matson
V
,
Fessler
J
,
Bao
R
,
Chongsuwat
T
,
Zha
Y
,
Alegre
ML
, et al
The commensal microbiome is associated with anti-PD-1 efficacy in metastatic melanoma patients
.
Science
2018
;
359
:
104
8
.
81.
Hugo
W
,
Zaretsky
JM
,
Sun
L
,
Song
C
,
Moreno
BH
,
Hu-Lieskovan
S
, et al
Genomic and transcriptomic features of response to Anti-PD-1 therapy in metastatic melanoma
.
Cell
2016
;
165
:
35
44
.
82.
Siu
LL
,
Ivy
SP
,
Dixon
EL
,
Gravell
AE
,
Reeves
SA
,
Rosner
GL
. 
Challenges and opportunities in adapting clinical trial design for immunotherapies
.
Clin Cancer Res
2017
;
23
:
4950
8
.
83.
Long
GV
,
Weber
JS
,
Larkin
J
,
Atkinson
V
,
Grob
JJ
,
Schadendorf
D
, et al
Nivolumab for patients with advanced melanoma treated beyond progression: analysis of 2 phase 3 clinical trials
.
JAMA Oncol
2017
;
3
:
1511
9
.
84.
Smoragiewicz
M
,
Bogaerts
J
,
Calvo
E
,
Marabelle
A
,
Perrone
A
,
Seymour
L
, et al
Design and conduct of early clinical studies of immunotherapy agent combinations: recommendations from the task force on Methodology for the development of innovative cancer therapies
.
Ann Oncol
2018
;
29
:
2175
82
.
85.
Woo
SR
,
Turnis
ME
,
Goldberg
MV
,
Bankoti
J
,
Selby
M
,
Nirschl
CJ
, et al
Immune inhibitory molecules LAG-3 and PD-1 synergistically regulate T-cell function to promote tumoral immune escape
.
Cancer Res
2012
;
72
:
917
27
.
86.
Goding
SR
,
Wilson
KA
,
Xie
Y
,
Harris
KM
,
Baxi
A
,
Akpinarli
A
, et al
Restoring immune function of tumor-specific CD4+ T cells during recurrence of melanoma
.
J Immunol
2013
;
190
:
4899
909
.
87.
Lichtenegger
FS
,
Rothe
M
,
Schnorfeil
FM
,
Deiser
K
,
Krupka
C
,
Augsberger
C
, et al
Targeting LAG-3 and PD-1 to enhance T cell activation by antigen-presenting cells
.
Front Immunol
2018
;
9
:
385
.
88.
Andrews
LP
,
Marciscano
AE
,
Drake
CG
,
Vignali
DA
. 
LAG3 (CD223) as a cancer immunotherapy target
.
Immunol Rev
2017
;
276
:
80
96
.
89.
Ascierto
PA
,
Bono
P
,
Bhatia
S
,
Melero
I
,
Nyakas
MS
,
Svane
IM
, et al
LBA18Efficacy of BMS-986016, a monoclonal antibody that targets lymphocyte activation gene-3 (LAG-3), in combination with nivolumab in pts with melanoma who progressed during prior anti–PD-1/PD-L1 therapy (mel prior IO) in all-comer and biomarker-enriched populations
.
Ann Oncol
2017
;
28
(suppl_5):
v605
v49
.
90.
Prendergast
GC
,
Malachowski
WP
,
DuHadaway
JB
,
Muller
AJ
. 
Discovery of IDO1 inhibitors: from bench to bedside
.
Cancer Res
2017
;
77
:
6795
811
.
91.
Hamid
O
,
Gajewski
TF
,
Frankel
AE
,
Bauer
TM
,
Olszanski
AJ
,
Luke
JJ
, et al
1214OEpacadostat plus pembrolizumab in patients with advanced melanoma: phase 1 and 2 efficacy and safety results from ECHO-202/KEYNOTE-037
.
Ann Oncol
2017
;
28(suppl_5
):
v428
v48
.
92.
Daud
A
,
Saleh
MN
,
Hu
J
,
Bleeker
JS
,
Riese
MJ
,
Meier
R
, et al
Epacadostat plus nivolumab for advanced melanoma: updated phase 2 results of the ECHO-204 study
.
J Clin Oncol
36
, 
2018
(suppl; abstr
9511)
.
93.
Long
GV
,
Dummer
R
,
Hamid
O
,
Gajewski
T
,
Caglevic
C
,
Dalle
S
, et al
Epacadostat (E) plus pembrolizumab (P) versus pembrolizumab alone in patients (pts) with unresectable or metastatic melanoma: results of the phase 3 ECHO-301/KEYNOTE-252 study
.
J Clin Oncol
36
, 
2018
(
suppl; abstr 108
).
94.
Zhu
Y
,
Knolhoff
BL
,
Meyer
MA
,
Nywening
TM
,
West
BL
,
Luo
J
, et al
CSF1/CSF1R blockade reprograms tumor-infiltrating macrophages and improves response to T-cell checkpoint immunotherapy in pancreatic cancer models
.
Cancer Res
2014
;
74
:
5057
69
.
95.
Komohara
Y
,
Fujiwara
Y
,
Ohnishi
K
,
Takeya
M
. 
Tumor-associated macrophages: Potential therapeutic targets for anti-cancer therapy
.
Adv Drug Deliv Rev
2016
;
99
:
180
5
.
96.
Komohara
Y
,
Jinushi
M
,
Takeya
M
. 
Clinical significance of macrophage heterogeneity in human malignant tumors
.
Cancer Sci
2014
;
105
:
1
8
.
97.
Kluger
HM
,
Dolled-Filhart
M
,
Rodov
S
,
Kacinski
BM
,
Camp
RL
,
Rimm
DL
. 
Macrophage colony-stimulating factor-1 receptor expression is associated with poor outcome in breast cancer by large cohort tissue microarray analysis
.
Clin Cancer Res
2004
;
10
:
173
7
.
98.
Perry
CJ
,
Munoz-Rojas
AR
,
Meeth
KM
,
Kellman
LN
,
Amezquita
RA
,
Thakral
D
, et al
Myeloid-targeted immunotherapies act in synergy to induce inflammation and antitumor immunity
.
J Exp Med
2018
;
215
:
877
93
.
99.
Makkouk
A
,
Chester
C
,
Kohrt
HE
. 
Rationale for anti-CD137 cancer immunotherapy
.
Eur J Cancer
2016
;
54
:
112
9
.
100.
Bartkowiak
T
,
Curran
MA
. 
4-1BB agonists: multi-potent potentiators of tumor immunity
.
Front Oncol
2015
;
5
:
117
.
101.
Curran
MA
,
Kim
M
,
Montalvo
W
,
Al-Shamkhani
A
,
Allison
JP
. 
Combination CTLA-4 blockade and 4-1BB activation enhances tumor rejection by increasing T-cell infiltration, proliferation, and cytokine production
.
PLoS One
2011
;
6
:
e19499
.
102.
Chen
S
,
Lee
LF
,
Fisher
TS
,
Jessen
B
,
Elliott
M
,
Evering
W
, et al
Combination of 4-1BB agonist and PD-1 antagonist promotes antitumor effector/memory CD8 T cells in a poorly immunogenic tumor model
.
Cancer Immunol Res
2015
;
3
:
149
60
.
103.
Sznol
M
,
Hodi
FS
,
Margolin
K
,
McDermott
DF
,
Ernstoff
MS
,
Kirkwood
JM
, et al
Phase I study of BMS-663513, a fully human anti-CD137 agonist monoclonal antibody, in patients (pts) with advanced cancer (CA)
.
J Clin Oncol
26:15s, 
2008
(suppl; abstr 3007).
104.
Kocak
E
,
Lute
K
,
Chang
X
,
May
KF
 Jr.
,
Exten
KR
,
Zhang
H
, et al
Combination therapy with anti-CTL antigen-4 and anti-4-1BB antibodies enhances cancer immunity and reduces autoimmunity
.
Cancer Res
2006
;
66
:
7276
84
.
105.
Charych
DH
,
Hoch
U
,
Langowski
JL
,
Lee
SR
,
Addepalli
MK
,
Kirk
PB
, et al
NKTR-214, an engineered cytokine with biased IL2 receptor binding, increased tumor exposure, and marked efficacy in mouse tumor models
.
Clin Cancer Res
2016
;
22
:
680
90
.
106.
Melisi
D
,
Frizziero
M
,
Tamburrino
A
,
Zanotto
M
,
Carbone
C
,
Piro
G
, et al
Toll-like receptor 9 agonists for cancer therapy
.
Biomedicines
2014
;
2
:
211
28
.
107.
Diab
A
,
Rahimian
S
,
Haymaker
CL
,
Bernatchez
C
,
Andtbacka
RHI
,
James
M
, et al
A phase 2 study to evaluate the safety and efficacy of intratumoral (IT) injection of the TLR9 agonist IMO-2125 (IMO) in combination with ipilimumab (ipi) in PD-1 inhibitor refractory melanoma
.
J Clin Oncol
2018
;
36
:
9515
-.
108.
Milhem
MM
,
Zarour
HM
,
Gabrail
NY
,
Mauro
DJ
,
Greenberg
NM
,
Slichenmyer
WJ
, et al
Phase Ib trial of the CpG-A oligonucleotide CMP-001 combined with pembrolizumab (pembro) in patients with advanced melanoma
.
J Clin Oncol
2016
;
34
:
15s
, (
suppl; abstr TPS9593
).
109.
Ascierto
PA
,
Agarwala
SS
,
Ciliberto
G
,
Demaria
S
,
Dummer
R
,
Duong
CPM
, et al
Future perspectives in melanoma research “Melanoma Bridge”, Napoli, November 30th–3rd December 2016
.
J Translat Med
2017
;
15
:
236
.
110.
Sarnaik
A
,
Kluger
HM
,
Chesney
JA
,
Sethuraman
J
,
Veerapathran
A
,
Simpson-Abelson
M
, et al
Efficacy of single administration of tumor-infiltrating lymphocytes (TIL) in heavily pretreated patients with metastatic melanoma following checkpoint therapy
.
J Clin Oncol
35, 
2017
(suppl; abstr 3045).
111.
Forget
M-A
,
Haymaker
CL
,
Hess
KR
,
Roszik
J
,
Woodman
SE
,
Fulbright
OJ
, et al
The impact of checkpoint blockade prior to adoptive cell therapy using tumor-infiltrating lymphocytes for metastatic melanoma: an update from MD Anderson Cancer Center
.
J Clin Oncol
35
:
7s
, 
2017
(
suppl; abstr 138
).
112.
Sarnaik A
TS
,
Davar
D
,
Kirkwood
J
,
Kluger
H
,
Lutzky
J
, et al
Safety and efficacy of cryopreserved autologous tumor infiltrating lymphocyte therapy (LN-144, lifileucel) in advanced metastatic melanoma patients following progression on checkpoint inhibitors [abstract]
. In:
Proceedings of the Society of Immunotherapy of Cancer Annual Meeting; 2018 November 9–11
;
Washington, DC. Milwaukee (WI)
:
SITC
; 
2018
.
113.
Ping
Y
,
Liu
C
,
Zhang
Y
. 
T-cell receptor-engineered T cells for cancer treatment: current status and future directions
.
Protein Cell
2018
;
9
:
254
66
.
114.
Hermel
DJ
,
Ott
PA
. 
Combining forces: the promise and peril of synergistic immune checkpoint blockade and targeted therapy in metastatic melanoma
.
Cancer Metastasis Rev
2017
;
36
:
43
50
.
115.
Ascierto
PA
,
Ferrucci
PF
,
Stephens
R
,
Del Vecchio
M
,
Atkinson
V
,
Schmidt
H
, et al
KEYNOTE-002 part 3: phase 2 randomized study of 1L dabrafenib (D) and trametinib (T) plus pembrolizumab (Pembro) or placebo (PBO) for BRAF-mutant advanced melanoma
.
Ann Oncol
2018
;
29
(suppl_8):
viii442
viii66
.
116.
Dummer
R
,
Ramelyte
E
,
Schindler
S
,
Thurigen
O
,
Levesque
MP
,
Koelblinger
P
. 
MEK inhibition and immune responses in advanced melanoma
.
Oncoimmunology
2017
;
6
:
e1335843
.
117.
Miller
WH
,
Kim
TM
,
Lee
CB
,
Flaherty
KT
,
Reddy
S
,
Jamal
R
, et al
Atezolizumab (A) + cobimetinib (C) in metastatic melanoma (mel): updated safety and clinical activity
.
J Clin Oncol
35
:
15s
, 
2017
(
suppl; abstr 3057
).
118.
Robert
C
,
Ribas
A
,
Hamid
O
,
Daud
A
,
Wolchok
JD
,
Joshua
AM
, et al
Durable complete response after discontinuation of pembrolizumab in patients with metastatic melanoma
.
J Clin Oncol
2018
;
36
:
1668
74
.
119.
Robert
C
,
Long
GV
,
Schachter
J
,
Arance
A
,
Grob
JJ
,
Mortier
L
, et al
Long-term outcomes in patients (pts) with ipilimumab (ipi)-naive advanced melanoma in the phase 3 KEYNOTE-006 study who completed pembrolizumab (pembro) treatment
.
J Clin Oncol
35
:
15s
, 
2017
(
suppl; abstr 9504
).
120.
Gajewski
TF.
The next hurdle in cancer immunotherapy: overcoming the non-T-cell-inflamed tumor microenvironment
.
Semin Oncol
2015
;
42
:
663
71
.
121.
Robert
C
,
Ribas
A
,
Wolchok
JD
,
Hodi
FS
,
Hamid
O
,
Kefford
R
, et al
Anti-programmed-death-receptor-1 treatment with pembrolizumab in ipilimumab-refractory advanced melanoma: a randomised dose-comparison cohort of a phase 1 trial
.
Lancet
2014
;
384
:
1109
17
.
122.
Ribas
A
,
Puzanov
I
,
Dummer
R
,
Schadendorf
D
,
Hamid
O
,
Robert
C
, et al
Pembrolizumab versus investigator-choice chemotherapy for ipilimumab-refractory melanoma (KEYNOTE-002): a randomised, controlled, phase 2 trial
.
Lancet Oncol
2015
;
16
:
908
18
.
123.
Weber
JS
,
D'Angelo
SP
,
Minor
D
,
Hodi
FS
,
Gutzmer
R
,
Neyns
B
, et al
Nivolumab versus chemotherapy in patients with advanced melanoma who progressed after anti-CTLA-4 treatment (CheckMate 037): a randomised, controlled, open-label, phase 3 trial
.
Lancet Oncol
2015
;
16
:
375
84
.
124.
Robert
C
,
Long
GV
,
Brady
B
,
Dutriaux
C
,
Maio
M
,
Mortier
L
, et al
Nivolumab in previously untreated melanoma without BRAF mutation
.
N Engl J Med
2015
;
372
:
320
30
.
125.
Postow
MA
,
Chesney
J
,
Pavlick
AC
,
Robert
C
,
Grossmann
K
,
McDermott
D
, et al
Nivolumab and ipilimumab versus ipilimumab in untreated melanoma
.
N Engl J Med
2015
;
372
:
2006
17
.