New sensitive assays are currently available for the detection of circulating tumor DNA (ctDNA) and circulating tumor cells (CTC). However, there remains a need for standardization of preanalytical issues and cross-platform comparison studies. Liquid biopsies are being evaluated for treatment selection, for monitoring disease response and resistance, for tracking minimal residual disease, and for cancer diagnosis. Multiple studies are underway to assess the clinical utility of CTC and ctDNA in different settings (treatment-naïve vs. resistant, adjuvant vs. metastatic) and for different treatment modalities (systemic therapy, surgery, radiation therapy). This review aims to map the challenges that remain to be addressed before liquid biopsies can be widely used for cancer management.

In the era of precision medicine, liquid biopsies are increasingly being studied as a tool that can capture tumor evolution in real time and thus guide systemic treatment. In this article, we will refer to the analysis of circulating tumor DNA (ctDNA) and circulating tumor cells (CTC) only and we will not cover other liquid biopsy biomarkers such as circulating RNAs, proteins, metabolites, and exosomes.

Sampling a patient's blood may give information about the genomic profile of a given cancer (1–3) and provide an assessment of tumor burden (4), without the need of invasive procedures. Over the last few years, several studies have been published supporting the analytical and clinical validity of CTC (5) and ctDNA assays (6) in cancer.

However, according to a recent ASCO review there is still insufficient evidence of clinical utility for the majority of ctDNA assays in advanced cancer and no evidence of clinical utility in early-stage disease or cancer screening (7). Moreover, no CTC assay is currently being used in the clinic.

Recent reviews have addressed the use of liquid biopsies (8–10), focusing especially on the technologies and their analytical and clinical validity (8). This review aims to focus more on the remaining challenges that currently prevent the use of liquid biopsies clinically (demonstration of clinical utility). To that end, we will provide an update (2) on ongoing/completed key clinical studies using CTCs and ctDNA for clinical decision (Table 1). Additionally, the main clinical applications of CTCs and ctDNA that are currently being explored are summarized in Fig. 1A.

Table 1.

Clinical testing of liquid biopsy

Clinical trials with liquid biopsy-based patient management and translational studies of liquid biopsy in completed clinical trials
TrialDisease and stageBiomarkerNo. patients enrolled in the study/translational sub-studyStudy design
STIC CTC (NCT01710605) randomized phase III MBC CTCs 778 Physician vs. CTCs-driven choice for first-line treatment (HT vs. CT) 
SWOG S0500 (NCT00382018) randomized phase III MBC CTCs 595 Changing therapy vs. maintaining therapy in patients with persistently increased CTCs 
Treat CTC (NCT01548677) randomized phase II EBC CTCs 63 Adjuvant trastuzumab for 6 cycles vs. observation 
PROPHECY (NCT02269982) nonrandomized, observational mCRPC CTCs (and ctDNA) 118 AR-V7+ CTC status as a biomarker of resistance to HT 
ctDNA sub-study of SoFEA (NCT00253422) randomized phase III LABC or MBC ctDNA 161 (63 ESR1+Fulvestrant plus anastrozole vs. fulvestrant plus placebo vs. exemestane alone 
ctDNA sub-study of PALOMA-3 (NCT01942135) randomized phase III MBC ctDNA 360 (91 ESR1+Fulvestrant plus palbociclib vs. fulvestrant plus placebo 
ctDNA sub-study of BOLERO-2 (NCT00863655) randomized phase III LABC or MBC ctDNA 550 (238 PIK3CA+Exemestane plus everolimus vs. exemestane plus placebo 
ctDNA sub-study of BELLE-2 (NCT01610284) randomized phase III LABC or MBC ctDNA 587 (200 PIK3CA+Fulvestrant plus buparlisb vs. fulvestrant plus placebo 
ctDNA sub-study of SOLAR-1 (NCT02437318) randomized phase III MBC ctDNA 549 (186 PIK3CA+Alpelisib plus fulvestrant vs. fulvestrant plus placebo 
Combined ctDNA meta-analysis of SoFEA (NCT00253422) and EFECT (NCT00065325) randomized phase III (22LABC or MBC ctDNA 383 (115 ESR1+SoFEA: fulvestrant plus anastrozole vs. fulvestrant plus placebo vs. exemestane alone. 
    EFECT: fulvestrant vs. exemestane 
Clinical trials with liquid biopsy-based patient management and translational studies of liquid biopsy in completed clinical trials
TrialDisease and stageBiomarkerNo. patients enrolled in the study/translational sub-studyStudy design
STIC CTC (NCT01710605) randomized phase III MBC CTCs 778 Physician vs. CTCs-driven choice for first-line treatment (HT vs. CT) 
SWOG S0500 (NCT00382018) randomized phase III MBC CTCs 595 Changing therapy vs. maintaining therapy in patients with persistently increased CTCs 
Treat CTC (NCT01548677) randomized phase II EBC CTCs 63 Adjuvant trastuzumab for 6 cycles vs. observation 
PROPHECY (NCT02269982) nonrandomized, observational mCRPC CTCs (and ctDNA) 118 AR-V7+ CTC status as a biomarker of resistance to HT 
ctDNA sub-study of SoFEA (NCT00253422) randomized phase III LABC or MBC ctDNA 161 (63 ESR1+Fulvestrant plus anastrozole vs. fulvestrant plus placebo vs. exemestane alone 
ctDNA sub-study of PALOMA-3 (NCT01942135) randomized phase III MBC ctDNA 360 (91 ESR1+Fulvestrant plus palbociclib vs. fulvestrant plus placebo 
ctDNA sub-study of BOLERO-2 (NCT00863655) randomized phase III LABC or MBC ctDNA 550 (238 PIK3CA+Exemestane plus everolimus vs. exemestane plus placebo 
ctDNA sub-study of BELLE-2 (NCT01610284) randomized phase III LABC or MBC ctDNA 587 (200 PIK3CA+Fulvestrant plus buparlisb vs. fulvestrant plus placebo 
ctDNA sub-study of SOLAR-1 (NCT02437318) randomized phase III MBC ctDNA 549 (186 PIK3CA+Alpelisib plus fulvestrant vs. fulvestrant plus placebo 
Combined ctDNA meta-analysis of SoFEA (NCT00253422) and EFECT (NCT00065325) randomized phase III (22LABC or MBC ctDNA 383 (115 ESR1+SoFEA: fulvestrant plus anastrozole vs. fulvestrant plus placebo vs. exemestane alone. 
    EFECT: fulvestrant vs. exemestane 

Abbreviations: CT, chemotherapy; EBC, early breast cancer; HT, hormone therapy; LABC, locally advanced breast cancer; MBC, metastatic breast cancer; mCRPC, metastatic castration-resistant prostate cancer.

Figure 1.

A, Clinical applications of liquid biopsy. B, Liquid biopsy in early and metastatic breast cancer. The figure shows the inverse correlation between ctDNA/CTC levels and the lead time to clinical relapse in three different settings: (i) Dormancy (low ctDNA or CTCs levels), dormant micrometastatic cells that need another oncogenic hit or a more permissive microenvironment to give rise to metastases; long lead time to clinical relapse. (ii) Preclinical relapse (intermediate ctDNA or CTC levels), cancer cells with full malignant potential, short lead time to clinical relapse. (iii) Clinical relapse (high ctDNA or CTC levels), evidence of clinical relapse using standard imaging.

Figure 1.

A, Clinical applications of liquid biopsy. B, Liquid biopsy in early and metastatic breast cancer. The figure shows the inverse correlation between ctDNA/CTC levels and the lead time to clinical relapse in three different settings: (i) Dormancy (low ctDNA or CTCs levels), dormant micrometastatic cells that need another oncogenic hit or a more permissive microenvironment to give rise to metastases; long lead time to clinical relapse. (ii) Preclinical relapse (intermediate ctDNA or CTC levels), cancer cells with full malignant potential, short lead time to clinical relapse. (iii) Clinical relapse (high ctDNA or CTC levels), evidence of clinical relapse using standard imaging.

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For CTC and ctDNA assays, there is a need to standardize preanalytical variables and for cross-platform comparison studies. To address these challenges, initiatives are underway both in Europe (Cancer-ID; ref. 11) and United States (BloodPAC; ref. 12) aiming to standardize preanalytical issues and compare the performance of different liquid biopsy assays in the same patient samples.

In particular, the low concentration of CTCs and ctDNA limits the use of liquid biopsies in early-stage cancer and drawing a large volume of blood is not always clinically feasible. The addition of extra markers for CTCs, the use of implanted devices containing materials that bind ctDNA (13) or assays that can simultaneously test for multiple mutations in the same reaction (14), appear to be promising in increasing the amount of CTCs/ctDNA detected. Alternative approaches that integrate ctDNA mutations with multiple other blood-based analytes (such as exomes, CTCs, ctDNA epigenetics, metabolites) may also be required.

Treatment selection

In the metastatic setting, the only ctDNA assay that is currently used in solid tumors is the cobasEGFR Mutation Test v2. This assay is used for patients with metastatic non–small cell lung cancer (NSCLC) and can detect 42 mutations in exons 18, 19, 20, and 21 of the EGFR gene encompassing the T790M-resistant mutation. A positive finding—of an actionable mutation in plasma—using this assay can inform treatment selection relating to erlotinib and osimertinib. However, a negative result—such as the absence of the T790M mutation in a patient with clinical or radiological progression—should be considered inconclusive and DNA from a tumor biopsy should also be assessed (15).

The assessment of PIK3CA mutations in plasma cell-free DNA may be the first liquid biopsy to be used in the clinic for metastatic breast cancer (MBC). This is based on the analysis of PIK3CA mutations in ctDNA among 549 hormone receptor (HR)+/HER2− MBC patients enrolled in the SOLAR-1 trial (16). Progression-free survival (PFS) was significantly prolonged when the PI3KCA selective inhibitor alpelisib was added to fulvestrant in patients with detectable PIK3CA mutations in ctDNA. If the FDA approves alpelisib in this setting, PIK3CA mutation ctDNA testing will likely become a companion diagnostic test. Moreover, the presence of PIK3CA mutations in plasma ctDNA in patients with endocrine-resistant estrogen receptor (HR)+/HER2− advanced breast cancer, identified patients that could benefit from the combination of the pan-PI3K inhibitor buparlisib with fulvestrant (BELLE-2 trial; ref. 17). However, the clinical development of buparlisib has been discontinued for toxicity issues. The value of PIK3CA ctDNA genotyping has also been evaluated in other studies. In the BOLERO-2 study, the addition of everolimus to exemestane prolonged median PFS irrespective of PIK3CA genotype (18). In the PALOMA-3 study, PIK3CA ctDNA levels after 15 days treatment appear to be predictive of PFS on palbociclib and fulvestrant (19).

In patients with MBC, the use of digital PCR assays (19, 20) showed that estrogen receptor 1 (ESR1) mutations in ctDNA are frequently subclonal, and occur later during metastatic aromatase inhibitor (AI) therapy. Results from retrospective ctDNA analysis in the SoFEA trial showed that ESR1 mutation analysis in plasma might be useful to direct the choice of further endocrine-based therapy; because patients with plasma ESR1 mutations (63 of 161) have a shorter PFS on subsequent AI-based therapy (18 patients) compared with fulvestrant (45 patients; ref. 21). The results of the above study have been recently extended in 383 patients in a combined meta-analysis of the Sofea and Efect studies (22). However, the benefit of adding CDK4/6 inhibitors to endocrine treatment was largely irrespective of the presence of ESR1 mutations (21). As the combination of endocrine treatment with CDK4/6 inhibitors has become the new standard of care, the clinical value of ESR1 mutation detection in patients progressing on AIs is limited to patients that will subsequently receive a second line of endocrine monotherapy without CDK4/6 inhibitors. Moreover, analyses of plasma baseline ESR1 mutations in the BOLERO-2 trial, demonstrated that the presence of ESR1 mutations was a marker of poor prognosis (23). In a subgroup analysis, it was suggested that patients with the Y537S ESR1 mutation did not derive benefit from the addition of everolimus to exemestane, although these data need independent validation in larger series. Currently, there is no clear role for plasma ESR1 mutations as a tool to guide treatment in patients with MBC.

ctDNA assays have been incorporated in trials for various solid tumors, with lung (24) and prostate cancer (25) being lead indications.

Several studies are also evaluating the role of CTC enumeration and characterization in guiding treatment decision, especially in metastatic breast and prostate cancer. The French STIC CTC study (NCT01710605; refs. 26–28), demonstrated the “noninferiority” of a CTC-based treatment decision vs. a clinician-based treatment decision, in the choice of first-line treatment (single-agent hormone therapy vs. chemotherapy) of HR+ MBC and confirmed the adverse prognostic value of baseline CTC count (27). In the CTC-driven arm, for patients that received chemotherapy because of their high CTC count (≥5 CTCs) PFS was significantly longer than in the clinically-driven arm (HR 0.67; 95% CI, 0.49–0.92; P = 0.01; ref. 28). However, interpretation of the results of this study is challenging due to the change in the standard of care for these patients, which is currently the combination of hormone therapy with CDK4/6 inhibitors.

Beyond CTC enumeration, there is preliminary evidence that the molecular analysis of CTCs in patients with MBC with bone (29) or brain (30) metastases might help direct the choice of treatment. Finally, preliminary evidence suggests that the use of highly sensitive assays for analyzing prostate CTC-derived transcripts (31, 32) may help to guide therapies, especially in advanced prostate cancer with bone metastases that cannot be easily biopsied. Patients with prostate cancer with nuclear-localized androgen receptor splice variant 7 (AR-V7)-positive CTCs exhibited resistance to abiraterone and enzalutamide (31) and had a superior overall survival (OS) when treated with taxanes (32). In a recent consensus statement on circulating biomarkers for advanced prostate cancer (33), 31% of the experts preferred the EPIC AR-V7 CTC protein assay—laboratory-developed and validated (32, 34)—as an AR-V7 test to use in clinical practice, whereas 7.67% of the scientists chose the Hopkins/Qiagen AR-V7 RT-PCR mRNA-based assay using the AdnaTest platform (35).

Access to clinical trials through molecular screening programs.

Plasma ctDNA analyses using NGS cancer gene panels (either pan-cancer or disease-specific) have been shown to be an attractive alternative to tumor tissue biopsy NGS analysis in molecular screening programs; and have the potential to increase patient access to clinical trials with new compounds (36, 37), as in the case of the basket trial SUMMIT (38).

Treatment monitoring

Alongside treatment selection, another potential application of liquid biopsies is in monitoring treatment response. This might allow for the earlier withdrawal of expensive and potentially toxic drugs when a liquid biopsy test suggests that there will be no benefit. CTC elimination after short-term drug exposure has been demonstrated to be an early response endpoint in metastatic castration-resistant prostate cancer, more reliable than PSA levels, which are affected by modulations in androgen receptor signaling (39). In the SWOG S0500 clinical trial, patients with MBC and persistently increased CTC levels after one cycle of first-line chemotherapy were shown to have a poorer outcome, although an early switch to an alternative chemotherapy regimen did not improve outcome (40). In this setting, it might be interesting to test whether a switch to a therapy targeting specific genomic aberrations, detected using a liquid biopsy test, might be a better approach instead of switching to a different chemotherapy regimen. Beyond CTC enumeration, monitoring of the CTC genomic and epigenomic profile might also better inform treatment selection. Indeed, the presence of ESR1 methylation in CTCs from serial blood samples was shown to be associated with lack of response to everolimus/exemestane (41). Finally, serial ctDNA evaluation can be used for treatment monitoring (4, 19).

Immune checkpoint inhibitors, such as inhibitors of programmed-death receptor 1 (PD1) or programmed death receptor ligand (PDL1) have become a standard therapy in several cancer types. Preliminary evidence suggests that longitudinal on-treatment monitoring of CTCs (42), ctDNA (43, 44), or exomal PD-L1 (45) dynamics might be used as a marker of response to identify the patients more likely to benefit from immunotherapy, thus sparing nonresponding patients from such treatment. However, definitive studies to change clinical practice are needed. Blood-based monitoring may also help decide whether to continue immunotherapy or not in cases of pseudoprogression (46).

The molecular basis of the acquired resistance to targeted therapies represents one of the main challenges in cancer research, with large implications in the clinical setting. Serial ctDNA analysis has emerged as a promising tool to identify and track the mechanisms of drug resistance (47–49). ctDNA and CTCs have been useful tools to detect multiple genomic alterations (in genes such as ESR1, genes of the mitogen-activated protein kinase (MAPK) pathway and the RB1, T790M, KRAS, and BRAF genes) that emerge following treatment with various therapies (AI, CDK4/6 inhibitors; osimertinib; cetuximab; BRAF inhibitors) in breast cancer (50–54), lung cancer (55), colon cancer (49), and melanoma (56, 57), respectively. CTC and ctDNA analysis may, therefore, have a complementary utility to detect mechanisms of resistance (58, 59). Results from the above studies suggest that different mechanisms of resistance can often coexist within a given patient (55), with frequent subclonal mutations (50), so targeting only one pathway might result in a transient benefit for the patient. Combination therapy might provide a better strategy to delay drug resistance in this setting.

Liquid biopsy and systemic therapies

Neoadjuvant setting.

A pooled analysis of individual patient data from more than 1,500 patients from 21 studies provided evidence that baseline CTC counts, as determined by Cellsearch, is an independent poor prognostic factor in patients with breast cancer treated with neoadjuvant chemotherapy (60).

Adjuvant setting.

The purpose of administering adjuvant treatment after surgery is to eradicate tumor cells undetectable by conventional imaging called minimal residual disease (MRD). Proof-of-principle studies demonstrated that persistent detection of ctDNA after local therapy [surgery or radiotherapy (RT)] is associated with a higher risk of recurrence (14, 61). In this setting, monitoring multiple mutations per patient has been shown to improve the sensitivity for ctDNA detection (14). Moreover, it has been suggested that CTC detection before or after adjuvant chemotherapy is associated with a worse clinical outcome (62–64). Furthermore, the detection of CTCs 5 years or more after diagnosis was recently found to be associated with a higher risk of late recurrence in patients with HR+HER2− localized breast cancer (65). The correlation between ctDNA/CTCs levels and the lead time to clinical relapse is shown in Fig. 1B.

Preliminary data support the design of clinical trials for selection of adjuvant therapy based on MRD detection and characterization, in addition to characterization of the primary tumor (66). The first international trial to test this new model of drug development has been the Treat CTC trial (67). In the Treat CTC trial, we have explored the question of whether six cycles of trastuzumab can eliminate chemotherapy-resistant CTCs following standard (neo)adjuvant chemotherapy and surgery in women with HER2-non-amplified breast cancer. The trial was terminated by an independent data monitoring committee after 63 patients had been randomized because it demonstrated that trastuzumab could not eliminate CTCs in this setting. In line with the Treat CTC trial results, the NSABP B47 phase III trial including more than 3,000 patients demonstrated that 1 year of adjuvant trastuzumab did not improve invasive disease-free survival when added to standard chemotherapy in HER2-negative breast cancer (68). More examples such as the Treat CTC/NSABP B47 example are needed to provide evidence that CTCs or ctDNA elimination after short drug exposure can provide relevant information that can be used in addition to data from the activity of the drug in the metastatic and neoadjuvant setting in order to make more informed decisions before testing this drug in a large phase III adjuvant trial. Moreover, CTCs and ctDNA can be used in the future for designing trials aiming to de-escalate (in CTC/ctDNA-negative patients) or escalate (in CTCs/ctDNA-positive patients) systemic or locoregional treatment.

Liquid biopsy and radiotherapy

In early-stage cancers, the identification of patients at higher risk of recurrence who will benefit from adjuvant RT remains challenging. Promising preliminary results were reported in the recent analysis of patients with stage pT1-T2 and pN0-N1 breast cancer from the National Cancer Database and the multicenter phase III SUCCESS clinical trial (69). Adjuvant RT after breast-conserving surgery was associated with longer OS among patients of both cohorts with detectable CTCs before adjuvant therapy and was also associated with longer locoregional-free survival and disease-free survival in patients with CTCs from the SUCCESS cohort. This benefit was not observed in patients without CTCs and prospective validation of these findings is required.

Liquid biopsy and cancer diagnosis

There are efforts to explore whether ctDNA testing can be used as a tool for cancer diagnosis. For instance, the detection of circulating, cancer-derived (Epstein Barr Virus) EBV DNA in plasma has proven to be a useful screen for nasopharyngeal carcinoma in asymptomatic subjects, with high sensitivity and specificity (70). The use of ctDNA sequencing seems similarly promising in the identification of patients with somatic mutations associated with increased risks of hematologic cancer. However, caution is warranted because clonal hematopoiesis with somatic mutations was detected in 10% of elderly patients, whereas the risk of developing a hematologic malignancy was modest (1% per year; ref. 71). Moreover, new blood tests (72, 73) seem to be useful in discriminating cancer patients from healthy controls and allow for the detection of early cancers and also localize to the organ of origin such as CancerSEEK (72) and one further method, based on a genome-wide bisulfite sequencing of plasma DNA, that can identify the specific methylation profiles of each tissue (73). Another approach to identify the tissue of origin has been mRNA sequencing of tumor-educated platelets (74). There are several ethical issues related to the clinical testing of a cancer diagnostic test. Such a test needs to be sensitive enough to detect surgically resectable tumors but also highly specific, since false-positive results will cause unnecessary imaging workup and severely affect quality of life. Prospective clinical trials to demonstrate the clinical utility of a liquid biopsy cancer screening test in addition to, or instead of, standard screening programs are required (75).

There are increasing data on the analytical and clinical validity of commercially available liquid biopsy assays; however, demonstration of clinical utility is needed. To this aim, there is a need of clinical trials with inclusion criteria based on ctDNA/CTCs detection and characteristics in order to make decisions of treatment escalation or de-escalation. The detection of PIK3CA mutations in plasma ctDNA to guide treatment with the PIK3CA inhibitor alpelisib might provide the first example of a ctDNA assay with clinical utility in MBC. In the near future multigene ctDNA assays are expected to be used for guiding treatment selection in the metastatic cancer setting. Moreover, efforts should be made to validate the use of highly sensitive liquid biopsy assays (76) in the early disease setting to identify patients with MRD, who will benefit from adjuvant treatment, or those without MRD, who can be spared the toxicity of adjuvant treatment. Therefore, the development of targeted drugs designed to eliminate dormant tumor cells (77) or maintain them in a quiescent status might be an attractive perspective in order to delay/prevent the progression from MRD to overt metastases. The results from the ongoing trials are expected to improve patient outcomes and change the way we treat cancer patients.

M. Ignatiadis is a consultant/advisory board member of Novartis, Pfizer, Celgene, Tesaro, and Seattle Genetics. No conflicts of interest was disclosed by the other author.

M. Ignatiadis received funding from “Les Amis de l'Institut Bordet” (no grant number applicable) and from the “Fondation Contre le Cancer” (Grant No. 2016-124).

1.
Bettegowda
C
,
Sausen
M
,
Leary
RJ
,
Kinde
I
,
Wang
Y
,
Agrawal
N
, et al
Detection of circulating tumor DNA in early- and late-stage human malignancies
.
Sci Transl Med
2014
;
6
:
224ra24
.
2.
Ignatiadis
M
,
Lee
M
,
Jeffrey
SS
. 
Circulating tumor cells and circulating tumor DNA: challenges and opportunities on the path to clinical utility
.
Clin Cancer Res
2015
;
21
:
4786
800
.
3.
Chu
D
,
Park
BH
. 
Liquid biopsy: unlocking the potentials of cell-free DNA
.
Virchows Arch
2017
;
471
:
147
54
.
4.
Dawson
SJ
,
Tsui
DW
,
Murtaza
M
,
Biggs
H
,
Rueda
OM
,
Chin
SF
, et al
Analysis of circulating tumor DNA to monitor metastatic breast cancer
.
N Engl J Med
2013
;
368
:
1199
209
.
5.
Bidard
FC
,
Peeters
DJ
,
Fehm
T
,
Nolé
F
,
Gisbert-Criado
R
,
Mavroudis
D
, et al
Clinical validity of circulating tumour cells in patients with metastatic breast cancer : a pooled analysis of individual patients data
.
Lancet Oncol
2014
;
15
:
406
14
.
6.
Zill
OA
,
Banks
KC
,
Fairclough
SR
,
Mortimer
SA
,
Vowles
JV
,
Mokhtari
R
, et al
The landscape of actionable genomic alterations in cell-free circulating tumor DNA from 21,807 advanced cancer patients
.
Clin Cancer Res
2018
;
24
:
3528
38
.
7.
Merker
JD
,
Oxnard
GR
,
Compton
C
,
Diehn
M
,
Hurley
P
,
Lazar
AJ
, et al
Circulating tumor DNA analysis in patients with cancer: American Society of Clinical Oncology and College of American Pathologists Joint Review
.
J Clin Oncol
2018
;
36
:
1631
41
.
8.
Heitzer
E
,
Haque
IS
,
Roberts
CES
,
Speicher
MR
. 
Current and future perspectives of liquid biopsies in genomics-driven oncology
.
Nat Rev Genet
2019
;
20
:
71
88
.
9.
Bardelli
A
,
Pantel
K
. 
Liquid biopsies, what we do not know (yet)
.
Cancer Cell
2017
;
31
:
172
9
.
10.
Alix-Panabières
C
,
Pantel
K
. 
Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy
.
Cancer Discov
2016
;
6
:
479
91
.
11.
Cancer –ID Consortium
. https://www.cancer-id.eu/.
12.
The Blood Profiling Atlas in Cancer (BloodPAC) Consortium
. https://www.bloodpac.org/.
13.
Wan
JCM
,
Massie
C
,
Garcia-Corbacho
J
,
Mouliere
F
,
Brenton
JD
,
Caldas
C
, et al
Liquid biopsies come of age: towards implementation of circulating tumour DNA
.
Nat Rev Cancer
2017
;
17
:
223
38
.
14.
Abbosh
C
,
Birkbak
NJ
,
Wilson
GA
,
Jamal-Hanjani
M
,
Constantin
T
,
Salari
R
, et al
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
.
Nature
2017
;
545
:
446
51
.
Erratum in: Nature 2017 Dec 20
.
15.
Rolfo
C
,
Mack
PC
,
Scagliotti
GV
,
Baas
P
,
Barlesi
F
,
Bivona
TG
, et al
Liquid biopsy for advanced non-small cell lung cancer (NSCLC): a statement paper from the IASLC
.
J Thorac Oncol
2018
;
13
:
1248
68
.
16.
Juric
D
,
Ciruelos
E
,
Rubovszky
G
,
Campone
M
,
Loibl
S
,
Rugo
HS
, et al
Alpelisib + fulvestrant for advanced breast cancer: Subgroup analyses from the phase III SOLAR-1 trial
.
Abstract GS3-08. Forty-First Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 4–8, 2018; San Antonio, TX
.
17.
Campone
M
,
Im
SA
,
Iwata
H
,
Clemons
M
,
Ito
Y
,
Awada
A
, et al
Buparlisib plus fulvestrant versus placebo plus fulvestrant for postmenopausal, hormone receptor-positive, human epidermal growth factor receptor 2-negative, advanced breast cancer: Overall survival results from BELLE-2
.
Eur J Cancer
2018
;
103
:
147
54
.
18.
Moynahan
ME
,
Chen
D
,
He
W
,
Sung
P
,
Samoila
A
,
You
D
, et al
Correlation between PIK3CA mutations in cell-free DNA and everolimus efficacy in HR+, HER2-advanced breast cancer: results from BOLERO-2
.
Br J Cancer
2017
;
116
:
726
30
.
19.
O'Leary
B
,
Hrebien
S
,
Morden
JP
,
Beaney
M
,
Fribbens
C
,
Huang
X
, et al
Early circulating tumor DNA dynamics and clonal selection with palbociclib and fulvestrant for breast cancer
.
Nat Commun
2018
;
9
:
896
.
doi: 10.1038/s41467-018-03215-x
.
20.
Schiavon
G
,
Hrebien
S
,
Garcia-Murillas
I
,
Cutts
RJ
,
Pearson
A
,
Tarazona
N
, et al
Analysis of ESR1 mutation in circulating tumor DNA demonstrates evolution during therapy for metastatic breast cancer
.
Sci Transl Med
2015
;
7
:
313ra182
.
21.
Fribbens
C
,
O'Leary
B
,
Kilburn
L
,
Hrebien
S
,
Garcia-Murillas
I
,
Beaney
M
, et al
Plasma ESR1 mutations and the treatment of estrogen receptor-positive advanced breast cancer
.
J Clin Oncol
2016
;
34
:
2961
8
.
22.
Turner
N
,
Swift
C
,
Kilburn
L
,
Garcia-Murillas
I
,
Johnston
S
,
Budzar
A
, et al
Baseline circulating ESR1 mutation analysis in the randomised phase III EFECT study of fulvestrant versus exemestane in advanced hormone receptor positive breast cancer
.
Abstract PD2-04. Forty-First Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 4–8, 2018; San Antonio, TX
.
23.
Chandarlapaty
S
,
Chen
D
,
He
W
,
Sung
P
,
Samoila
A
,
You
D
, et al
Prevalence of ESR1 mutations in cell-free DNA and outcomes in metastatic breast cancer: a secondary analysis of the BOLERO-2 clinical trial
.
JAMA Oncol
2016
;
2
:
1310
5
.
24.
Remon
J
,
Menis
J
,
Hasan
B
,
Peric
A
,
De Maio
E
,
Novello
S
, et al
The APPLE trial: feasibility and activity of AZD9291 (osimertinib) treatment on positive plasma T790M in EGFR-mutant NSCLC patients. EORTC 1613
.
Clin Lung Cancer
2017
;
18
:
583
8
.
25.
Carneiro
BA
,
Pamarthy
S
,
Shah
AN
,
Sagar
V
,
Unno
K
,
Han
H
, et al
Anaplastic lymphoma kinase mutation (ALK F1174C) in small cell carcinoma of the prostate and molecular response to alectinib
.
Clin Cancer Res
2018
;
24
:
2732
9
.
26.
Pierga
J-Y
,
Baffert
S
,
Hajage
D
,
Brain
E
,
Armanet
S
,
Simondi
C
, et al
Abstract 2410: circulating tumor cells to guide the choice between chemotherapy and hormone therapy as first line treatment for metastatic breast cancer patients: the STIC CTC METABREAST trial
.
Cancer Res
2013
;(
8 Suppl
):
2410
.
27.
Bidard
F-C
,
Brain
E
,
Jacot
W
,
Bachelot
T
,
Ladoire
S
,
Bourgeois
H
, et al
First line hormone therapy vs. chemotherapy for HR+ HER2− metastatic breast cancer in the phase III STIC CTC trial: clinical choice and validity of CTC count
.
Ann Oncol
, 
2016
;
27
(
suppl_6
):
1
,
226PD
.
28.
Bidard
F-C
,
Jacot
W
,
Dureau
S
,
Brain
E
,
Bachelot
T
,
Bourgeois
H
, et al
Clinical utility of circulating tumor cell count as a tool to chose between first line hormone therapy and chemotherapy for ER+ HER2− metastatic breast cancer: Results of the phase III STIC CTC trial
.
Abstract GS3-07 and oral presentation. Forty-First Annual CTRC-AACR San Antonio Breast Cancer Symposium; December 4–8, 2018; San Antonio, TX
.
29.
Aceto
N
,
Bardia
A
,
Wittner
BS
,
Donaldson
MC
,
O'Keefe
R
,
Engstrom
A
, et al
AR expression in breast cancer CTCs associates with bone metastases
.
Mol Cancer Res
2018
;
16
:
720
7
.
30.
Boral
D
,
Vishnoi
M
,
Liu
HN
,
Yin
W
,
Sprouse
ML
,
Scamardo
A
, et al
Molecular characterization of breast cancer CTCs associated with brain metastasis
.
Nat Commun
2017
;
8
:
196
.
doi: 10.1038/s41467-017-00196-1
.
31.
Miyamoto
DT
,
Lee
RJ
,
Kalinich
M
,
LiCausi
JA
,
Zheng
Y
,
Chen
T
, et al
An RNA-based digital circulating tumor cell signature is predictive of drug response and early dissemination in prostate cancer
.
Cancer Discov
2018
;
8
:
288
303
.
32.
Scher
HI
,
Graf
RP
,
Schreiber
NA
,
Jayaram
A
,
Winquist
E
,
McLaughlin
B
, et al
Assessment of the validity of nuclear-localized androgen receptor splice variant 7 in circulating tumor cells as a predictive biomarker for castration-resistant prostate cancer
.
JAMA Oncol
2018
;
4
:
1179
86
.
33.
Sumanasuriya
S
,
Omlin
AG
,
Armstrong
AJ
,
Attard
G
,
Chi
KN
,
Bevan
CL
, et al
Consensus statement on circulating biomarkers for advanced prostate cancer
.
JCO
2018
;
36
:
6_suppl
:
299
299
.
34.
Werner
SL
,
Graf
RP
,
Landers
M
,
Valenta
DT
,
Schroeder
M
,
Greene
SB
, et al
Analytical validation and capabilities of the epic CTC platform: enrichment-free circulating tumour cell detection and characterization
.
J Circ Biomark
2015
;
4
:
3
.
doi: 10.5772/60725
.
35.
Lokhandwala
PM
,
Riel
SL
,
Haley
L
,
Lu
C
,
Chen
Y
,
Silberstein
J
, et al
Analytical validation of androgen receptor splice variant 7 detection in a clinical laboratory improvement amendaments (CLIA) laboratory setting
.
J Mol Diagn
2017
;
19
:
115
25
.
36.
Rolfo
C
,
Manca
P
,
Salgado
R
,
Van Dam
P
,
Dendooven
A
,
Machado Coelho
A
, et al
Multidisciplinary molecular tumour board: a tool to improve clinical practice and selection accrual for clinical trials in patients with cancer
.
ESMO Open
2018
;
3
:
e000398
.
37.
Rothé
F
,
Laes
JF
,
Lambrechts
D
,
Smeets
D
,
Vincent
D
,
Maetens
M
, et al
Plasma circulating tumor DNA as an alternative to metastatic biopsies for mutational analysis in breast cancer
.
Ann Oncol
2014
;
25
:
1959
65
.
38.
Hyman
DM
,
Piha-Paul
SA
,
Won
H
,
Rodon
J
,
Saura
C
,
Shapiro
GI
, et al
HER kinase inhibition in patients with HER2- and HER3-mutant cancers
.
Nature
2018
;
554
:
189
94
.
39.
Heller
G
,
McCormack
R
,
Kheoh
T
,
Molina
A
,
Smith
MR
,
Dreicer
R
, et al
Circulating tumor cells number as a response measure of prolonged survival for metastatic castration-resistant prostate cancer: a comparison with prostate-specific antigen across five randomized phase III clinical trials
.
J Clin Oncol
2018
;
36
:
572
80
.
40.
Smerage
JB
,
Barlow
WE
,
Hortobagyi
GN
,
Winer
EP
,
Leyland-Jones
B
,
Srkalovic
G
, et al
Circulating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500
.
J Clin Oncol
2014
;
32
:
3483
9
.
41.
Mastoraki
S
,
Strati
A
,
Tzanikou
E
,
Chimonidou
M
,
Politaki
E
,
Voutsina
A
, et al
ESR1 methylation: a liquid biopsy-based epigenetic assay for the follow-up of patients with metastatic breast cancer receiving endocrine treatment
.
Clin Cancer Res
2018
;
24
:
1500
10
.
42.
Hong
X
,
Sullivan
RJ
,
Kalinich
M
,
Kwan
TT
,
Giobbie-Hurder
A
,
Pan
S
, et al
Molecular signatures of circulating melanoma cells for monitoring early response to immunecheckpoint therapy
.
Proc Natl Acad Sci U S A
2018
;
115
:
2467
72
.
43.
Cabel
L
,
Riva
F
,
Servois
V
,
Livartowski
A
,
Daniel
C
,
Rampanou
A
, et al
Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study
.
Ann Oncol
2017
;
28
:
1996
2001
.
44.
Lee
JH
,
Long
GV
,
Boyd
S
,
Lo
S
,
Menzies
AM
,
Tembe
V
, et al
Circulating tumour DNA predicts response to anti-PD1 antibodies in metastatic melanoma
.
Ann Oncol
2017
;
28
:
1130
6
.
45.
Chen
G
,
Huang
AC
,
Zhang
W
,
Zhang
G
,
Wu
M
,
Xu
W
, et al
Exomal PD-L1 contributes to immunosoppression and is associated with anti-PD-1 response
.
Nature
2018
;
560
:
382
6
.
46.
Lee
JH
,
Long
GV
,
Menzies
AM
,
Lo
S
,
Guminski
A
,
Whitbourne
K
, et al
Association between circulating tumor DNA and pseudoprogression in patients with metastatic melanoma treated with anti-programmed cell death 1 antibodies
.
JAMA Oncol
2018
;
4
:
717
21
.
47.
Murtaza
M
,
Dawson
SJ
,
Tsui
DW
,
Gale
D
,
Forshew
T
,
Piskorz
AM
, et al
Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA
.
Nature
2013
;
497
:
108
12
.
48.
Weigelt
B
,
Comino-Méndez
I
,
de Bruijn
I
,
Tian
L
,
Meisel
JL
,
García-Murillas
I
, et al
Diverse BRCA1 and BRCA2 reversion mutations in circulating cell-free DNA of therapy-resistant breast or ovarian cancer
.
Clin Cancer Res
2017
;
23
:
6708
20
.
49.
Misale
S
,
Yaeger
R
,
Hobor
S
,
Scala
E
,
Janakiraman
M
,
Liska
D
, et al
Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer
.
Nature
2012
;
486
:
532
6
.
50.
Fribbens
C
,
Garcia Murillas
I
,
Beaney
M
,
Hrebien
S
,
O'Leary
B
,
Kilburn
L
, et al
Tracking evolution of aromatase inhibitor resistance with circulating tumour DNA analysis in metastatic breast cancer
.
Ann Oncol
2018
;
29
:
145
53
.
51.
Condorelli
R
,
Spring
L
,
O'Shaughnessy
J
,
Lacroix
L
,
Bailleux
C
,
Scott
V
, et al
Polyclonal RB1 mutations and acquired resistance to CDK 4/6 inhibitors in patients with metastatic breast cancer
.
Ann Oncol
2018
;
29
:
640
5
.
52.
Paoletti
C
,
Cani
AK
,
Larios
JM
,
Hovelson
DH
,
Aung
K
,
Darga
EP
, et al
Comprehensive mutation and copy number profiling in archived circulating breast cancer tumor cells documents heterogeneous resistance mechanisms
.
Cancer Res
2018
;
78
:
1110
22
.
53.
Razavi
P
,
Chang
MT
,
Xu
G
,
Bandlamudi
C
,
Ross
DS
,
Vasan
N
, et al
The genomic landscape of endocrine-resistant advanced breast cancers
.
Cancer Cell
2018
;
34
:
427
38
.
e6
.
54.
O'Leary
B
,
Cutts
RJ
,
Liu
Y
,
Hrebien
S
,
Huang
X
,
Fenwick
K
, et al
The genetic landscape and clonal evolution of breast cancer resistance to palbociclib plus fulvestrant in the PALOMA-3 trial
.
Cancer Discov
2018
;
8
:
1390
403
.
55.
Oxnard
GR
,
Hu
Y
,
Mileham
KF
,
Husain
H
,
Costa
DB
,
Tracy
P
, et al
Assessment of resistance mechanisms and clinical implications in patients with EGFR T790M–positive lung cancer and acquired resistance to osimertinib
.
JAMA Oncol
2018
;
4
:
1527
34
.
56.
Sullivan
RJ
,
O'Neill
VJ
,
Brinkmann
K
,
Enderle
D
,
Koestler
T
,
Spiel
A
, et al
Plasma-based monitoring of BRAF mutations during therapy for malignant melanoma (MM) using combined exosomal RNA and cell-free DNA analysis
.
J Clin Oncol
33
;
15_suppl
:
9017
9017
.
57.
Schreuer
M
,
Meersseman
G
,
Van Den Herrewegen
S
,
Jansen
Y
,
Chevolet
I
,
Bott
A
, et al
Quantitative assessment of BRAF V600 mutant circulating cell-free tumor DNA as a tool for therapeutic monitoring in metastatic melanoma patients treated with BRAF/MEK inhibitors
.
J Transl Med
2016
;
14
:
95
.
doi: 10.1186/s12967-016-0852-6.
58.
Paoletti
C
,
Schiavon
G
,
Dolce
EM
,
Darga
EP
,
Carr
TH
,
Geradts
J
, et al
Circulating biomarkers and resistance to endocrine therapy in metastatic breast cancers: correlative results from AZD9496 oral SERD Phase I trial
.
Clin Cancer Res
2018
;
24
:
5860
72
.
59.
Jordan
NV
,
Bardia
A
,
Wittner
BS
,
Benes
C
,
Ligorio
M
,
Zheng
Y
, et al
HER2 expression identifies dynamic functional states within circulating breast cancer cells
.
Nature
2016
;
537
:
102
6
.
60.
Bidard
FC
,
Michielis
S
,
Riethdorf
S
,
Mueller
V
,
Esserman
LJ
,
Lucci
A
, et al
Circulating tumor cells in breast cancer patients treated by neoadjuvant chemotherapy: a meta-analysis
.
J Natl Cancer Inst
2018
;
110
:
560
7
.
61.
Garcia-Murillas
I
,
Schiavon
G
,
Weigelt
B
,
Ng
C
,
Hrebien
S
,
Cutts
RJ
, et al
Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer
.
Sci Transl Med
2015
;
7
:
302ra133
.
62.
Ignatiadis
M
,
Xenidis
N
,
Perraki
M
,
Apostolaki
S
,
Politaki
E
,
Kafousi
M
, et al
Different prognostic value of cytokeratin-19 mRNA positive circulating tumor cells according to estrogen receptor and HER2 status in early-stage breast cancer
.
J Clin Oncol
2007
;
25
:
5194
202
.
63.
Rack
B
,
Schindlbeck
C
,
Jückstock
J
,
Andergassen
U
,
Hepp
P
,
Zwingers
T
, et al
Circulating tumor cells predict survival in early average-to-high risk breast cancer patients
.
J Natl Cancer Inst
2014
;
106
:pii:
dju066
.
64.
Janni
WJ
,
Rack
B
,
Terstappen
LW
,
Pierga
JY
,
Taran
FA
,
Fehm
T
, et al
Pooled analysis of the prognostic relevance of circulating tumor cells in primary breast cancer
.
Clin Cancer Res
2016
;
22
:
2583
93
.
65.
Sparano
J
,
O'Neill
A
,
Alpaugh
K
,
Wolff
AC
,
Northfelt
DW
,
Dang
CT
, et al
Association of circulating tumor cells with late recurrence of estrogen receptor–positive breast cancer: a secondary analysis of a randomized clinical trial
.
JAMA Oncol
2018
;
4
:
1700
6
.
66.
Luskin
MR
,
Murakami
MA
,
Manalis
SR
,
Weinstock
DM
. 
Targeting minimal residual disease: a path to cure?
Nat Rev Cancer
2018
;
18
:
255
63
.
67.
Ignatiadis
M
,
Litière
S
,
Rothe
F
,
Riethdorf
S
,
Proudhon
C
,
Fehm
T
, et al
Trastuzumab versus observation for HER2 nonamplified early breast cancer with circulating tumor cells (EORTC 90091-10093, BIG 1-12, Treat CTC): a randomized phase II trial
.
Ann Oncol
2018
;
29
:
1777
83
.
68.
Fehrenbacher
L
,
Cecchini
RS
,
Geyer
CE
,
Rastogi
P
,
Costantino
JP
,
Atkins
JN
, et al
Abstract GS1-02: NSABP B-47 (NRG oncology): Phase III randomized trial comparing adjuvant chemotherapy with adriamycin (A) and cyclophosphamide (C) → weekly paclitaxel (WP), or docetaxel (T) and C with or without a year of trastuzumab (H) in women with node-positive or high-risk node-negative invasive breast cancer (IBC) expressing HER2 staining intensity of IHC 1+ or 2+ with negative FISH (HER2-Low IBC)
.
Cancer Res
2018
;(
4 Suppl
):
GS1
02
.
69.
Goodman
CR
,
Seagle
BL
,
Friedl
TWP
,
Rack
B
,
Lato
K
,
Fink
V
, et al
Association of circulating tumor cell status with benefit of radiotherapy and survival in early-stage breast cancer
.
JAMA Oncol
2018
;
4
:
e180163
.
70.
Chan
KCA
,
Woo
JKS
,
King
A
,
Zee
BCY
,
Lam
WKJ
,
Chan
SL
, et al
Analysis of Plasma Epstein-Barr Virus DNA to Screen for Nasopharyngeal Cancer
.
N Engl J Med
2017
;
377
:
513
22
.
Erratum in: N Engl J Med. 2018 Mar 8;378:973
.
71.
Genovese
G
,
Kähler
AK
,
Handsaker
RE
,
Lindberg
J
,
Rose
SA
,
Bakhoum
SF
, et al
Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
.
N Engl J Med
2014
;
371
:
2477
87
.
72.
Cohen
JD
,
Li
L
,
Wang
Y
,
Thoburn
C
,
Afsari
B
,
Danilova
L
, et al
Detection and localization of surgically resectable cancers with a multi-analyte blood test
.
Science
2018
;
359
:
926
30
.
73.
Sun
K
,
Jiang
P
,
Chan
KC
,
Wong
J
,
Cheng
YK
,
Liang
RH
, et al
Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments
.
Proc Natl Acad Sci U S A
2015
;
112
:
E5503
12
.
74.
Best
MG
,
Sol
N
,
Kooi
I
,
Tannous
J
,
Westerman
BA
,
Rustenburg
F
, et al
RNA-Seq of tumor-educated platelets enables blood-based pan-cancer, multiclass, and molecular pathway cancer diagnostics
.
Cancer Cell
2015
;
28
:
666
76
.
75.
Aravanis
AM
,
Lee
M
,
Klausner
RD
. 
Next-generation sequencing of circulating tumor DNA for early cancer detection
.
Cell
2017
;
168
:
571
4
.
76.
Pantel
K
,
Alix-Panabières
C
. 
Liquid biopsy and minimal residual disease – latest advances and implications for cure
.
Nat Rev Clin Oncol
2019
.
doi: 10.1038/s41571-019-0187-3. Epub ahead of print
.
77.
Pantel
K
,
Hayes
DF
. 
Disseminated breast and tumour cells: biological and clinical meaning
.
Nat Rev Clin Oncol
2018
:
15
:
129
31
.