Purpose:

To assess whether MUC1 peptide vaccine produces an immune response and prevents subsequent colon adenoma formation.

Patients and Methods:

Multicenter, double-blind, placebo-controlled randomized trial in individuals age 40 to 70 with diagnosis of an advanced adenoma ≤1 year from randomization. Vaccine was administered at 0, 2, and 10 weeks with a booster injection at week 53. Adenoma recurrence was assessed ≥1 year from randomization. The primary endpoint was vaccine immunogenicity at 12 weeks defined by anti-MUC1 ratio ≥2.0.

Results:

Fifty-three participants received the MUC1 vaccine and 50 placebo. Thirteen of 52 (25%) MUC1 vaccine recipients had a ≥2-fold increase in MUC1 IgG (range, 2.9–17.3) at week 12 versus 0/50 placebo recipients (one-sided Fisher exact P < 0.0001). Of 13 responders at week 12, 11 (84.6%) responded to a booster injection at week 52 with a ≥2-fold increase in MUC1 IgG measured at week 55. Recurrent adenoma was observed in 31 of 47 (66.0%) in the placebo group versus 27 of 48 (56.3%) in the MUC1 group [adjusted relative risk (aRR), 0.83; 95% confidence interval (CI), 0.60–1.14; P = 0.25]. Adenoma recurrence occurred in 3/11 (27.3%) immune responders at week 12 and week 55 (aRR, 0.41; 95% CI, 0.15–1.11; P = 0.08 compared with placebo). There was no difference in serious adverse events.

Conclusions:

An immune response was observed only in vaccine recipients. Adenoma recurrence was not different than placebo, but a 38% absolute reduction in adenoma recurrence compared with placebo was observed in participants who had an immune response at week 12 and with the booster injection.

Translational Relevance

Removal of adenomatous polyps, the precursor lesion of colorectal cancer, prevents colorectal cancer; however, most adenomas will not evolve to malignancy. Moreover, adenoma recurrence rates are high, and repeated colonoscopy surveillance to remove recurrent adenomas is expensive, invasive, and associated with medical risk. New methods that would prevent adenomas from forming or evolving into malignancy would be welcome. Antigens expressed on colonic adenomas are potential targets for the immune system. Vaccines that stimulate immunity against these antigens could potentially prevent recurrent adenoma formation or advancement. In a multicenter, double-blind, placebo-controlled randomized trial in individuals with a recent diagnosis of an advanced adenoma, we assessed whether a MUC1 peptide vaccine produces an immune response and whether it could prevent recurrent adenoma formation. We observed a 38% absolute reduction in adenoma recurrence (P = 0.08) compared with the placebo group in those who were immune responders at week 12 and at week 55. Immunoprevention through vaccines is a new frontier for colorectal cancer prevention.

Endoscopic removal of adenomatous polyps, the precursor lesions of colorectal cancer (CRC), reduces subsequent CRC incidence (1). However, removing all adenomas is an inefficient means of preventing cancer, because there are many more adenomas than cancers, and most adenomas will not evolve to malignancy. Moreover, adenomatous polyp recurrence rates are high, and repeated colonoscopic surveillance to monitor and remove recurrent adenomas is expensive, invasive, and associated with medical risk. Methods that would either prevent adenomas from forming or prevent them from evolving into malignancy would be welcome.

Clinical trials of chemoprevention to prevent recurrence of adenomatous polyps with agents such as aspirin (2), calcium (3) or folic acid supplements (4), difluoromethylornithine (DFMO; ref. 5), or dietary manipulation (6) have been performed. Most have demonstrated limited or no benefit. The most promising agents, including aspirin or DFMO, are limited by side effects and by the burden of compliance, as chemoprevention agents must be taken regularly.

Immunoprevention with vaccines, to target and eliminate premalignant precursors, is a potentially safe and effective approach to cancer control (7). Moreover, because of the specificity of the immune response and its long-term memory, immunoprevention offers the potential for prolonged protection. Targeting antigens aberrantly expressed on cancers and their precursors offers the potential for a relatively noninvasive and nontoxic risk-reduction strategy.

MUC1 mucin is a high molecular weight transmembrane glycoprotein expressed in normal epithelial cells, polarized to the apical surface, and glycosylated extensively (8). Abnormal or neoplasia-associated MUC1, which is overexpressed and severely hypoglycosylated compared with MUC1 on normal epithelial cells is found on the vast majority of colorectal adenocarcinomas and on their precursors colorectal adenomas (8–10), and increased MUC1 expression corelates with increasing dysplasia (9). Patients with cancer with MUC1-positive tumors produce MUC1-specific antibodies and T cells at low levels (11, 12). MUC1-based vaccines could raise the immune response to therapeutic levels (13, 14). However, immunosuppressive forces in the tumor microenvironment blunt the immune response (15–17), suggesting that vaccines administered in the premalignant phase when immunosuppression is not expected, might generate a more robust immune response.

Individuals with a history of advanced adenomatous polyps are at a 3-fold increased risk of CRC compared with those without adenomas (18). Colonic adenomas, like CRC, express the abnormal form of MUC1 (10). In a pilot study, MUC1 vaccine in participants with a history of advanced adenomas resulted in a 2- to 40-fold increase in anti-MUC1 IgG in 44% (17/39), with a robust 1-year memory response, and without significant toxicity (13). We performed a trial of MUC1 vaccine versus placebo in individuals with advanced adenomas within 1 year of removal. The objective was to evaluate the immune response to a MUC1 vaccine and its effect on recurrence of adenomatous polyps.

Study design

This was a randomized, double-blind, placebo controlled, multicenter trial. Eligible participants with ≥1 advanced adenoma within 1 year were randomly assigned in a 1:1 ratio to receive vaccine or placebo. Participants were enrolled at six clinical centers: the Mayo Clinic, the University of Pittsburgh Medical Center, the University of Puerto Rico, the Veterans Administration, Thomas Jefferson University, and Massachusetts General Hospital. All participants provided written informed consent and the protocol was approved by the institutional review board at each site. The trial was administratively coordinated by the NCI Division of Cancer Prevention through the Cancer Prevention Network at the Mayo Clinic. All authors had access to the study data and reviewed and approved the final manuscript. Patients or the public were not involved in the design, conduct, reporting, or dissemination plans of this research.

Inclusion criteria

Participants were 40 to 70 years of age at the time of randomization, had no prior history of CRC, no history of heritable CRC syndromes, no history of malignancy within the previous 5 years other than nonmelanoma skin cancer, no nonalcoholic steatohepatitis (NASH) with a nonalcoholic fatty liver disease (NAFLD) activity score ≥5 (19), no history of auto-immune disease nor current or planned use of immunomodulators, and no corticosteroid use within the previous 12 weeks. All participants had an advanced adenoma (AA) within 1 year prior to randomization, defined as: ≥1 cm in size, with villous or tubulovillous histology, or with severe or high-grade dysplasia. Complete removal of all adenomatous lesions and normal blood testing within defined parameters for hematologic, renal, and liver function, and anti-nuclear antibody was required.

MUC1 vaccine

The MUC1 vaccine consisted of a 100-amino acid synthetic MUC1 (Methods Supplement M1; ref. 20) admixed with an adjuvant, toll-like receptor 3 (TLR3) agonist, polyinosinic-polycytidylic acid (Poly ICLC - Hiltonol), supplied by Oncovir Inc. Poly ICLC is a synthetic, non-replicating double-stranded ribonucleic acid (dsRNA), with no specific genetic message. It acts as a viral mimic with broad innate and adaptive immune enhancing, adjuvant, antiviral, and antiproliferative effects (21, 22). The placebo was normal saline.

Vaccine or placebo were administered subcutaneously, blinded to content, in the upper thigh. Vaccine or placebo was administered at weeks 0, 2, and 10 with a booster dose administered at week 52. Injections were administered after blood testing results for toxicity were returned, as per the protocol. Blood was drawn prior to vaccination at weeks 0, 2, 10, and 52, at weeks 12 and 55 for assessment of immune response, and within ±4 weeks of the colonoscopy to evaluate for adenoma recurrence.

Immune and colonoscopy endpoints

The primary endpoint was MUC1 IgG levels at week 12 in vaccine versus placebo recipients. An anti-MUC1 IgG response requires activation of MUC1-specific helper T cells to promote isotype switching from IgM to IgG, hence indirectly measuring T-cell immunity. An anti-MUC1 IgG ratio of ≥2.0 at 12 weeks (week 12/week 0) was defined as an immune response. Anti-MUC1 IgG levels at week 55 (T55/T52) were also measured after booster injection at week 53. Individuals having an anti-MUC1 IgG ratio of ≥2.0 at 12 weeks and at 55 weeks were considered immune responders.

Adenoma recurrence at the first colonoscopy >1 year after initial vaccination was the primary clinical outcome. The standard for individuals with advanced adenoma is to undergo surveillance colonoscopy at 3 years, but follow-up colonoscopy timing was determined for each participant by the treating endoscopist.

Pre-specified, alternative clinical endpoints included adenoma outcome in participants with an immune response at week 12 and at week 55, excluding recurrent advanced adenomas that were in the same segment, which could represent a residual as opposed to a new recurrence, and restricting recurrence to adenomas >5mm since diminutive adenomas can be missed (23).

Adverse events (AE)

The NCI common terminology criteria for AEs (CTCAE) version 4.0 was used to monitor toxicity.

Measurement of anti-MUC1 IgG, myeloid-derived suppressor cells (MDSC), and cytokines

ELISA was used to measure plasma anti-MUC1 IgG levels (13). MDSC subpopulations in peripheral blood mononuclear cells (PBMC) were characterized based on their cell surface markers as polymorphonuclear (PMN)-MDSC, monocytic (M)-MDSC, and early (e)-MDSC (24). Bead-based multiplex cytokine assays were used to measure IL1β, INFα, IL6, INFγ, MCP1, TNFα, IL8, IL10, IL12, IL17, IL18, IL23, IL33. The cytokines in this panel were chosen based on their previously reported roles in inflammation and cancer (25, 26). IL1β, INFα, IL6, INFγ, MCP1, TNFα, and IL8 (or CXCL8) are proinflammatory cytokines that are known to suppress immunity and IL10 can suppress both innate cell-mediated and adaptive immunity. IL12, IL17, IL18, and IL23 promote type 1 immunity, whereas IL33 promotes type 2 immunity (Methods Supplement M2).

IHC staining of polyps for MUC1 expression

Formalin-fixed, paraffin-embedded sections were stained using a rabbit mAb against MUC1 (1:100 dilution). Stained tissues were evaluated for the extent, intensity, and localization of staining (Methods Supplement M2; ref. 27).

Immunofluorescence staining, image collection, and analysis

Uniplex immunofluorescence staining was performed manually in randomly selected participants with available tissue of interest, using the Opal 6-Plex Kit (Akoya Biosciences), which uses individual tyramide signal amplification (TSA)-conjugated fluorophores to detect targets. The slides were scanned using the Vectra Polaris spectral imaging system (Akoya Biosciences; ref. 28). A total of 466 regions of interest (ROI) were identified using Phenochart under the supervision of a gastrointestinal-trained pathologist (ADS). Five marker-positive cells were annotated, including CD4+ T cells, CD8+ T cells, CD15+ myeloid cells, CD20+ B cells, and FOXP3+ regulatory T cells (Methods Supplement M2).

Statistical analysis

Participants were randomized at the Mayo coordinating center in a 1:1 fashion to MUC1 or placebo using the Pocock-Simon dynamic allocation procedure (29), which balances the marginal distributions of the stratification (30). Stratification factors included number of adenomatous polyps removed (≥3 vs. <3), gender, and treatment site.

The primary endpoint was to compare the ratio of the week 12 to week 0 IgG levels between MUC1 vaccine and placebo in this phase II study. Assuming equal SDs (i.e., 10) across the MUC1 and placebo groups, and assuming up to a 10% drop-out rate by year 1, retaining at least 50 evaluable participants per arm yields at least 86% power to detect an increase in the mean IgG ratio from 1 to 6.5 for placebo versus MUC1 (effect size = 0.55), using a one-sided t test with a significance level of 0.05.

Univariate log-binomial models were used to compute estimates of the relative risk (RR). Multivariate logistic regression models were used to compute the adjusted estimates of the odds ratio (OR), which then in turn were used to approximate estimates of the RR by the following formula: |$\frac{{{\rm{OR}}}}{{( {1 - {P}_0} ) + ( {{P}_0 \times {\rm{OR}}} )}}$|⁠, where |${P}_0$| indicates incidence of the varying types of adenoma recurrence in the placebo group. Variables included in the multivariate models were body mass index (BMI), gender (male vs. female), nonsteroidal anti-inflammatory drug (NSAID) use (yes vs. no), aspirin use (yes vs. no), multiple baseline adenomas (yes vs. no), and multiple baseline advanced adenomas (yes vs. no). Multivariate associations were assessed by the Wald test.

We also compared AEs, MUC1 expression on original and recurrent adenomas, serum cytokines, IgG and MDSC levels, imaging results, and so on using standard statistical tests, including the Wilcoxon rank-sum test for continuous data and the chi-square or Fisher exact tests for categorical data.

All tests were performed with use of a two-sided α level of 0.05, unless otherwise specified. SAS version 9.4 (SAS Institute, Inc.) was used for statistical analysis.

Data availability statement

Data from this study (#MAY2013–01–01) will be made available by the NCI on request on the Cancer Data Access System site, https://cdas.cancer.gov/eppt/.

The CONSORT diagram for participant flow is shown in Fig. 1. A total of 130 participants were pre-registered and signed informed consent. Consented participants underwent additional laboratory testing and evaluation and 110 were confirmed eligible. With both investigator and participant blinded to randomization arm, 7 eligible participants declined to proceed. Of the remaining 103 participants, 1 withdrew from subsequent study visits at week 2 but remained in the study, leaving 102 (52 in the MUC1 group and 50 in the placebo group) evaluable at week 12. Ninety-five participants (51 in the MUC1 group and 44 in the placebo group) completed testing for booster response/immune memory at 52 and 55 weeks. One participant withdrew after 52 weeks. Ninety-five participants (48 in the MUC1 group and 47 in the placebo group) had an endpoint colonoscopy.

Figure 1.

CONSORT diagram.

Figure 1.

CONSORT diagram.

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Among the 103 intervention participants, the mean age was 59.4 ± 7.0 years, 62.1% were male, 88.3% were White, and 18.4% were Hispanic. There were no significant clinical differences by study arm (Table 1), and the advanced adenoma findings at the qualifying, baseline colonoscopy were also similar (Supplementary Table S1).

Table 1.

Baseline participant characteristics.

Baseline participant characteristicsMUC1 (N = 53)Placebo (N = 50)Total (N = 103)P value
Age    0.9842a 
 Mean (SD) 59.3 (7.56) 59.5 (6.45) 59.4 (7.01)  
 Median 59.0 59.5 59.0  
 Range 40.0–70.0 47.0–70.0 40.0–70.0  
Ethnicity, n (%)    0.8982b 
 Hispanic or Latino 10 (18.9%) 9 (18.0%) 19 (18.4%)  
 Not Hispanic or Latino 43 (81.1%) 40 (80.0%) 83 (80.6%)  
 Unknown 0 (0.0%) 1 (2.0%) 1 (1.0%)  
Race, n (%)    0.6349b 
 White 48 (90.6%) 43 (86.0%) 91 (88.3%)  
 Black or African American 4 (7.5%) 5 (10.0%) 9 (8.7%)  
 Asian 0 (0.0%) 1 (2.0%) 1 (1.0%)  
 More than one race 0 (0.0%) 1 (2.0%) 1 (1.0%)  
 Unknown 1 (1.9%) 0 (0.0%) 1 (1.0%)  
Gender, n (%)    0.6642c 
 Male 34 (64.2%) 30 (60.0%) 64 (62.1%)  
 Female 19 (35.8%) 20 (40.0%) 39 (37.9%)  
BMI    0.9238a 
 Mean (SD) 30.0 (5.14) 30.2 (5.64) 30.1 (5.36)  
 Median 29.7 30.2 30.2  
 Range 19.1–44.1 19.9–47.0 19.1–47.0  
NSAID used, n (%)    0.5664c 
 No 31 (58.5%) 32 (64.0%) 63 (61.2%)  
 Yes 22 (41.5%) 18 (36.0%) 40 (38.8%)  
Aspirin used, n (%)    0.3769c 
 No 44 (83.0%) 38 (76.0%) 82 (79.6%)  
 Yes 9 (17.0%) 12 (24.0%) 21 (20.4%)  
Multiple adenomas, n (%)    0.2936c 
 No 20 (37.7%) 14 (28.0%) 34 (33.0%)  
 Yes 33 (62.3%) 36 (72.0%) 69 (67.0%)  
Total number advanced adenomas/participant, n (%)    0.7662b 
 1 47 (88.7%) 41 (82.0%) 88 (85.4%)  
 2 3 (5.7%) 6 (12.0%) 9 (8.7%)  
 3 1 (1.9%) 1 (2.0%) 2 (1.9%)  
 4 2 (3.8%) 2 (4.0%) 4 (3.9%)  
Baseline participant characteristicsMUC1 (N = 53)Placebo (N = 50)Total (N = 103)P value
Age    0.9842a 
 Mean (SD) 59.3 (7.56) 59.5 (6.45) 59.4 (7.01)  
 Median 59.0 59.5 59.0  
 Range 40.0–70.0 47.0–70.0 40.0–70.0  
Ethnicity, n (%)    0.8982b 
 Hispanic or Latino 10 (18.9%) 9 (18.0%) 19 (18.4%)  
 Not Hispanic or Latino 43 (81.1%) 40 (80.0%) 83 (80.6%)  
 Unknown 0 (0.0%) 1 (2.0%) 1 (1.0%)  
Race, n (%)    0.6349b 
 White 48 (90.6%) 43 (86.0%) 91 (88.3%)  
 Black or African American 4 (7.5%) 5 (10.0%) 9 (8.7%)  
 Asian 0 (0.0%) 1 (2.0%) 1 (1.0%)  
 More than one race 0 (0.0%) 1 (2.0%) 1 (1.0%)  
 Unknown 1 (1.9%) 0 (0.0%) 1 (1.0%)  
Gender, n (%)    0.6642c 
 Male 34 (64.2%) 30 (60.0%) 64 (62.1%)  
 Female 19 (35.8%) 20 (40.0%) 39 (37.9%)  
BMI    0.9238a 
 Mean (SD) 30.0 (5.14) 30.2 (5.64) 30.1 (5.36)  
 Median 29.7 30.2 30.2  
 Range 19.1–44.1 19.9–47.0 19.1–47.0  
NSAID used, n (%)    0.5664c 
 No 31 (58.5%) 32 (64.0%) 63 (61.2%)  
 Yes 22 (41.5%) 18 (36.0%) 40 (38.8%)  
Aspirin used, n (%)    0.3769c 
 No 44 (83.0%) 38 (76.0%) 82 (79.6%)  
 Yes 9 (17.0%) 12 (24.0%) 21 (20.4%)  
Multiple adenomas, n (%)    0.2936c 
 No 20 (37.7%) 14 (28.0%) 34 (33.0%)  
 Yes 33 (62.3%) 36 (72.0%) 69 (67.0%)  
Total number advanced adenomas/participant, n (%)    0.7662b 
 1 47 (88.7%) 41 (82.0%) 88 (85.4%)  
 2 3 (5.7%) 6 (12.0%) 9 (8.7%)  
 3 1 (1.9%) 1 (2.0%) 2 (1.9%)  
 4 2 (3.8%) 2 (4.0%) 4 (3.9%)  

aWilcoxon rank-sum test.

bFisher exact test.

cChi-square test.

dUse defined as at least three times a week for a duration of at least 60 days starting prior to Week 0.

Vaccine immunogenicity

After injections at 0, 2, and 10 weeks, the mean ± SD of week 12/week 0 IgG ratio was significantly higher in MUC1 vaccine versus placebo recipients (3.0 ± 4.31 vs. 1.0 ± 0.19, P = 0.0004). An anti-MUC1 IgG ratio of ≥2.0 at 12 weeks was observed in 13/52 (25%) MUC1 vaccine recipients versus 0/50 placebo recipients (one-sided Fisher exact P < 0.0001).

After the booster injection, an anti-MUC1 IgG ratio of ≥2.0 at week 55/week 52 was observed in 17/51 (33.3%) MUC1 vaccine recipients versus 2/44 (4.5%) in the placebo group (P = 0.0003). In the 13 MUC1 vaccine recipients who had an immune response at week 12, 11 (84.6%) had a ≥2-fold increase in MUC1 IgG at week 55, whereas 0/44 participants in the placebo group responded at both week 12 and at week 15. Figure 2A shows the kinetics of the antibody generation in 13 participants who had an immune response at week 12. Figure 2B shows fold elevation in anti-MUC1 IgG at week 12 (N = 13, range 2.9–17.3, mean 8.9). Figure 2C shows pre- and post-vaccination anti-MUC1 IgG levels in the MUC1 vaccine recipients who did not manifest an immune response and Fig. 2D shows anti-MUC1 IgG levels in the placebo group. Endpoint titers of plasma antibodies at week 12 among those with an immune response is shown in Supplementary Fig. S1.

Figure 2.

Anti-MUC1 IgG Levels: (A) among MUC1 vaccine recipients with an immune response (N = 13); (B) fold elevation in anti-MUC1 IgG among vaccine recipients with an immune response; (C) among vaccine recipients without an immune response (N = 39); (D) among placebo controls (N = 50). Arrows indicate timing of vaccine administration. Blood sampling occurred at the weeks enumerated on the X-axis. Results are shown for 1:80 plasma dilution.

Figure 2.

Anti-MUC1 IgG Levels: (A) among MUC1 vaccine recipients with an immune response (N = 13); (B) fold elevation in anti-MUC1 IgG among vaccine recipients with an immune response; (C) among vaccine recipients without an immune response (N = 39); (D) among placebo controls (N = 50). Arrows indicate timing of vaccine administration. Blood sampling occurred at the weeks enumerated on the X-axis. Results are shown for 1:80 plasma dilution.

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Correlates of vaccine responsiveness

MDSC

Three different MDSC subpopulations, M-MDSC, PMN-MDSC, and e-MDSC in pre-vaccination PBMC were evaluated in 47 participants in relation to immune response at week 12 (Supplementary Table S2). Nonresponders (N = 34) had a higher mean percentage (±SD) level of circulating PMN-MDSC pre-vaccination than responders (N = 13; 8.0 ± 11.0 vs. 2.0 ± 0.9, P = 0.0004), and of e-MDSC (4.0 ± 3.0 vs. 2.0 ± 1.1, P = 0.02; Supplementary Table S2). There was no association between pre-vaccination levels of M-MDSC and response to the vaccine.

Cytokines

Cytokine concentrations in pre-vaccination plasma from those with an immune response at week 12 (N = 13) were compared with nonresponders (N = 39; Fig. 3). Circulating levels of IL6 (P = 0.0194) and IL8 (P = 0.001) were significantly higher in nonresponders. Other differences did not reach statistical significance.

Figure 3.

Pre-vaccination levels of circulating proinflammatory cytokines in MUC1 vaccine recipients. White bars: vaccine recipients with an immune response (N = 13); black bars, vaccine recipients without an immune response (N = 39). The Y-axis shows cytokine concentrations measured by bead-based multiplex cytokine assay (LEGENDplex, BioLegend) at 1:2 plasma dilution.

Figure 3.

Pre-vaccination levels of circulating proinflammatory cytokines in MUC1 vaccine recipients. White bars: vaccine recipients with an immune response (N = 13); black bars, vaccine recipients without an immune response (N = 39). The Y-axis shows cytokine concentrations measured by bead-based multiplex cytokine assay (LEGENDplex, BioLegend) at 1:2 plasma dilution.

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Factors associated with immune response at week 12

Women were more likely to manifest an immune response to the vaccine (9/20, 45%) than men (4/32, 12.5%, P = 0.009). In a univariate logistic regression model examining demographic factors, NSAID or aspirin use, adenoma characteristics, and MDSC populations, females had higher odds of immune response than males (OR, 6.5; 95% CI, 1.6–25.9; P = 0.005), and PMN-MDSC and e-MDSC as continuous variables were associated with a lower odds of immune response (OR, 0.54; 95% CI, 0.33–0.88; P ≤ 0.001, and OR, 0.003; 95% CI, <0.001–0.486; P = 0.002, respectively). In a multivariate logistic regression, only female gender was significantly associated with a higher likelihood of having an immune response (OR, 5.79; 95% CI, 1.09–30.8; P = 0.04), and a one unit increase in PMN-MDSC led to a borderline significant lower odds of immune response (OR, 0.004; 95% CI, <0.001–1.55; P = 0.07).

Adenoma recurrence

The mean ± SD time to follow up colonoscopy from initial vaccination was 886.1 ± 248.9 days for the MUC1-vaccinated group versus 923.0 ± 258.7 days in the placebo group (P = 0.36). The unadjusted and adjusted multivariate relative risk association of various types of adenoma recurrence including any adenoma recurrence, advanced or multiple adenoma recurrence, adenoma recurrence restricted to an adenoma >5 mm, and an advanced adenoma recurrence restricted to a different anatomic segment than the baseline advanced adenoma in relation to receipt of vaccine and to being an immune responder at week 12 and at week 55 are shown in Table 2. A recurrent adenoma was observed in 31 of 47 (66.0%) participants receiving placebo versus 27 of 48 (56.3%) participants in the MUC1 group [adjusted relative risk (aRR), 0.83; 95% CI, 0.60–1.14; P = 0.25]. In immune responders at week 12 and at week 55 (N = 11), any adenoma recurrence was observed in 3 of 11 (27.3%; aRR, 0.41; 95% CI, 0.15–1.11; P = 0.08 compared with placebo). When restricting recurrence to adenomas >5 mm, the aRR point estimate for recurrence was lower in both the MUC1 group (RR, 0.79; 95% CI, 0.46–1.36; P = 0.41) and in the immune responders group at week 12 and at week 55 (RR, 0.17; 95% CI, 0.02–1.11; P = 0.06; Table 2). There was no statistically significant difference in the mean number of adenomas per participant between the MUC1 and the placebo groups (1.0 ± 1.26 vs. 1.5 ± 2.19, respectively; P = 0.29), but there was a difference in total number of recurrent adenomas in the placebo group (N = 71) versus the MUC1 group (N = 47; P = 0.05; Supplementary Table S1).

Table 2.

Relative risk of recurrent adenoma(s).

Recurrent adenoma(s)N with recurrent adenoma/total N (%)Unadjusted relative risk (95% CI)P valueaAdjustedb relative risk (95% CI)P valuea
Any adenoma 
 Placebo (reference) 31/47 (66.0%) 1.00 — 1.00 — 
 MUC1 27/48 (56.3%) 0.85 (0.62–1.18) 0.3395 0.83 (0.60–1.14) 0.2486 
  Immune responderc 3/11 (27.3%) 0.41 (0.15–1.11) 0.0791 0.41 (0.15–1.11) 0.0794 
Advanced adenoma 
 Placebo (reference) 4/47 (8.5%) 1.00 — 1.00 — 
 MUC1 7/48 (14.6%) 1.71 (0.54–5.47) 0.3693 1.69 (0.53–5.39) 0.3826 
  Immune responderc 1/11 (9.1%) 1.07 (0.13–8.64) 0.9551 0.86 (0.11–7.00) 0.8999 
Multiple adenomas 
 Placebo (reference) 13/47 (27.7%) 1.00 — 1.00 — 
 MUC1 12/48 (25.0%) 0.90 (0.46–1.77) 0.7812 0.87 (0.44–1.71) 0.7004 
  Immune responderc 0/11 (0.0%) NE — NE — 
Advanced adenoma, in different location from baselined 
 Placebo (reference) 3/47 (6.4%) 1.00 — 1.00 — 
 MUC1 1/48 (2.1%) 0.33 (0.04–3.03) 0.3295 0.13 (0.01–1.22) 0.0743 
  Immune responderc 0/11 (0.0%) NE — NE — 
Adenoma >5 mm in sizee 
 Placebo (reference) 19/47 (40.4%) 1.00 — 1.00 — 
 MUC1 15/48 (31.3%) 0.77 (0.45–1.33) 0.3600 0.79 (0.46–1.36) 0.4068 
  Immune responderc 1/11 (9.1%) 0.22 (0.03–1.50) 0.1239 0.17 (0.02–1.11) 0.0630 
Recurrent adenoma(s)N with recurrent adenoma/total N (%)Unadjusted relative risk (95% CI)P valueaAdjustedb relative risk (95% CI)P valuea
Any adenoma 
 Placebo (reference) 31/47 (66.0%) 1.00 — 1.00 — 
 MUC1 27/48 (56.3%) 0.85 (0.62–1.18) 0.3395 0.83 (0.60–1.14) 0.2486 
  Immune responderc 3/11 (27.3%) 0.41 (0.15–1.11) 0.0791 0.41 (0.15–1.11) 0.0794 
Advanced adenoma 
 Placebo (reference) 4/47 (8.5%) 1.00 — 1.00 — 
 MUC1 7/48 (14.6%) 1.71 (0.54–5.47) 0.3693 1.69 (0.53–5.39) 0.3826 
  Immune responderc 1/11 (9.1%) 1.07 (0.13–8.64) 0.9551 0.86 (0.11–7.00) 0.8999 
Multiple adenomas 
 Placebo (reference) 13/47 (27.7%) 1.00 — 1.00 — 
 MUC1 12/48 (25.0%) 0.90 (0.46–1.77) 0.7812 0.87 (0.44–1.71) 0.7004 
  Immune responderc 0/11 (0.0%) NE — NE — 
Advanced adenoma, in different location from baselined 
 Placebo (reference) 3/47 (6.4%) 1.00 — 1.00 — 
 MUC1 1/48 (2.1%) 0.33 (0.04–3.03) 0.3295 0.13 (0.01–1.22) 0.0743 
  Immune responderc 0/11 (0.0%) NE — NE — 
Adenoma >5 mm in sizee 
 Placebo (reference) 19/47 (40.4%) 1.00 — 1.00 — 
 MUC1 15/48 (31.3%) 0.77 (0.45–1.33) 0.3600 0.79 (0.46–1.36) 0.4068 
  Immune responderc 1/11 (9.1%) 0.22 (0.03–1.50) 0.1239 0.17 (0.02–1.11) 0.0630 

Abbreviation: NE, not estimable.

aWald test.

bRisk ratios were been adjusted for BMI, gender, NSAID use, aspirin use, multiple baseline adenomas, and multiple baseline advanced adenomas.

cParticipants who responded at both week 12 and week 55.

dExcluding advanced adenomas as recurrences for those detected in the same segment of the bowel as baseline advanced adenomas.

eExcluding adenomas ≤5 mm as recurrences.

The mean PMN-MDSC level within the vaccine group at baseline was higher among those with an adenoma recurrence compared with those without an adenoma recurrence (0.7 ± 0.99 vs. 0.6 ± 1.07, P = 0.06). Within the placebo group, there was no difference in mean PMN-MDSC between those with adenoma recurrence (0.8 ± 0.54) versus those without adenoma recurrence (1.0 ± 1.59, P = 0.65).

We measured levels of anti-MUC1 IgG within ±4 weeks of follow-up colonoscopy in 76 individuals. In the MUC1 group (N = 36), the time of blood draw was 922 days ± 196 versus 946 days ± 222 in the placebo group (N = 40; P = 0.36). Antibody levels were low, not different from baseline, and there was no association with adenoma recurrence. The mean IgG OD ± SD at the time of follow-up colonoscopy was 0.34 ± 0.42 for those who had an adenoma recurrence and 0.31 ± 0.51 for those who did not (P = 0.63).

Vaccine safety

Grade 1 or higher AEs were more common in vaccine recipients compared with placebo (96.2% vs. 76.0%, respectively; P = 0.003), as were grade 2 or higher AEs (84.9% vs. 52.0%, respectively; P = 0.0003), primarily due to greater injection site reactions in the MUC1 group. Grade 1 injection site reactions occurred in 47/53 (88.7%) MUC1 recipients versus 10/50 (20.0%) in the placebo group (P < 0.001), and grade 2 injection site reactions occurred in 37/53 (69.8%) MUC1 recipients versus 2/50 (4%) in the placebo group (P < 0.001). There was no difference in grade 3 or higher AEs between the MUC1 and the placebo groups (20.8% vs. 20.0%, respectively; P = 0.92) and none of the serious AEs (grade 3 or higher) were attributable to the vaccine. A detailed accounting of all AEs is provided in Supplementary Tables S3 to S5.

Expression of MUC1 and the immune microenvironment of baseline and recurrent adenomas

MUC1 expression by IHC was evaluated in paired baseline and recurrent adenomas in 8 participants, 6 selected randomly from the placebo group and from 2 of the 3 MUC1 vaccine immune responders at week 12 and at week 55 who recurred. In both groups, there was preserved MUC1 expression in both the baseline and the recurrent adenomas, with extent and intensity of staining rated at the highest value of 4. Localization was predominantly apical and cytoplasmic with no change of pattern (Supplementary Fig. S2).

Multispectral imaging

Using multispectral imaging, we examined the immune microenvironment of adenomas. We characterized the infiltrating immune cells in 43 matched adenoma pairs (baseline and recurrent): 26 from the placebo group and 17 from the MUC1 vaccinated group (15 nonresponders and 2 vaccine responders at week 12 and at week 55, although recurrent adenoma was not available from one of the vaccine responders). Figure 4A is a bioinformatic summary of the landscape of immune infiltrates. The cell density score expressed as a heat map demonstrates that the stroma was more heavily infiltrated than the epithelial component in both the baseline and the recurrent adenomas. The epithelium of recurrent adenomas was more heavily infiltrated than in baseline adenomas, primarily due to CD4 T cells that increased in recurrent adenomas in both the placebo (P = 0.058) and the MUC1 group (P = 0.059; Fig. 4B). B-cell (CD20) infiltration in the epithelium was low in both groups (Fig. 4B). FoxP3 regulatory T cells and CD15 myeloid cell immunosuppressive populations, which include MDSCs, were significantly higher in the recurrent adenomas in the placebo group (FoxP3 P = 0.044; CD15 P = 0.0024), but were not significantly different in the MUC1 nonresponder group (Foxp3 P = 0.20; CD15 P = 0.37).

Figure 4.

Immune infiltrates in colon adenomas. A, Epithelial and stromal distribution of CD4+ T cells, CD8+ T cells, CD20+ B cells, FOXP3+ regulatory T cells, and CD15+ myeloid cells in adenomas. Results are grouped by randomization (MUC1 vaccine or placebo), by baseline or recurrent adenomas, and by immune response to the vaccine. In the heat maps, each row depicts a cell population, and each column represents one trial patient. Data are shown for individuals from the baseline adenoma in placebo group (N = 25), baseline adenoma in MUC1 recipients (N = 17), recurrent adenoma in placebo group (N = 14), and recurrent adenoma in MUC1 group (N = 12). Cell density was calculated as the number of marker-positive cells divided by each compartment's total number of cells. Cell density of each sample across all regions of interest (ROI) per compartment was collapsed at sample level by median and then collapsed at patient level by median when multiple samples per individual were tested. The dendrogram shows clustering of the samples based on cell density with Euclidean distance. B, Comparison of immune infiltrates in the epithelial compartment between baseline and recurrent adenomas within individuals from the placebo and MUC1 vaccine groups. Data are shown for placebo (N = 13), MUC1 nonresponder (MUC1NR; N = 11), and a MUC1 responder at week 12 and week 52 (MUC1R; N = 1). Samples from the baseline and recurrent adenoma within an individual are connected by a line and are compared via a two-sided paired t test.

Figure 4.

Immune infiltrates in colon adenomas. A, Epithelial and stromal distribution of CD4+ T cells, CD8+ T cells, CD20+ B cells, FOXP3+ regulatory T cells, and CD15+ myeloid cells in adenomas. Results are grouped by randomization (MUC1 vaccine or placebo), by baseline or recurrent adenomas, and by immune response to the vaccine. In the heat maps, each row depicts a cell population, and each column represents one trial patient. Data are shown for individuals from the baseline adenoma in placebo group (N = 25), baseline adenoma in MUC1 recipients (N = 17), recurrent adenoma in placebo group (N = 14), and recurrent adenoma in MUC1 group (N = 12). Cell density was calculated as the number of marker-positive cells divided by each compartment's total number of cells. Cell density of each sample across all regions of interest (ROI) per compartment was collapsed at sample level by median and then collapsed at patient level by median when multiple samples per individual were tested. The dendrogram shows clustering of the samples based on cell density with Euclidean distance. B, Comparison of immune infiltrates in the epithelial compartment between baseline and recurrent adenomas within individuals from the placebo and MUC1 vaccine groups. Data are shown for placebo (N = 13), MUC1 nonresponder (MUC1NR; N = 11), and a MUC1 responder at week 12 and week 52 (MUC1R; N = 1). Samples from the baseline and recurrent adenoma within an individual are connected by a line and are compared via a two-sided paired t test.

Close modal

This is the first randomized, double-blind, multicenter trial of a vaccine for the prevention of human non-viral neoplasia, based on a shared, non-mutated tumor-associated antigen. Twenty-five percent of vaccine recipients developed an immune response at week 12 compared with 0% in the placebo group, a highly significant difference. Using at a minimum a doubling of anti-MUC1 IgG as a marker of response to both the initial vaccination and a memory response to the booster dose at 1 year, 22% of MUC1 vaccine recipients (11/51) were immune responders at both week 12 and week 55. For the clinical outcome of adenoma recurrence, 66% in the placebo group recurred compared with 56% in the vaccine arm, a non-significant difference. Among participants who were immune responders at week 12 and at week 55, 27% (3/11) had a recurrent adenoma, a 38% absolute reduction compared to the placebo group (66% recurrence), which approached, but did not reach, statistical significance (P = 0.08).

In a pilot study of this same vaccine in individuals with advanced adenoma, administered in a similar fashion and schedule (13), there was a 44% (17/39) response at week 12 compared to 25% in this trial. The smaller than expected percentage of participants who met criteria for being an immune responder in this randomized trial limited the power of the study to demonstrate a significant effect on the clinical efficacy endpoint of adenoma recurrence.

In terms of the magnitude of the immune response, in the pilot study we observed an increase in the ratio of anti-MUC1 IgG at week 12/week 0 of up to 36-fold with a mean ratio increase of 13.5, whereas in this study the ratio increase went to 17-fold with a mean ratio increase of 8.9 (Fig. 2B).

The reasons why the response rate to the initial vaccination and the magnitude of the immune response were reduced in this trial compared with the pilot study are unclear. One potentially important difference between the two studies was the time between the advanced adenoma removal and the administration of the vaccine. In the pilot study, participants could have had an advanced adenoma at any time prior to enrollment, and some had their adenoma removed up to 9 years prior. In this study, vaccine administration occurred within 1 year of adenoma removal.

The multispectral images of the immune infiltrate in the baseline advanced adenomas demonstrate a presence of suppressive regulatory T cells (FoxP3+ Tregs) and MDSCs (CD15+). Evidence is beginning to accumulate that these cells can suppress systemic as well as local immune responses (31–33). Even though the baseline adenoma was removed prior to vaccination, Tregs could remain in the circulation and MDSCs could continue to be generated due to the continuous presence of proinflammatory cytokines produced by both innate and adaptive immune activation.

Evidence of continued systemic immunosuppression post-adenoma removal is demonstrated in our analysis of both MDSC and serum cytokines. IL6 and IL8 in particular are proinflammatory cytokines that are biomarkers of ongoing inflammation and known to negatively affect adaptive immune responses. They have been shown previously to be elevated in the sera of cancer patients (34, 35) and to modulate response to immunotherapy (36, 37). More recently they have also been found in premalignant disease, such as in individuals with cervical epithelial neoplasms (38), oral premalignant lesions (39, 40), and Barrett esophagus (41). The increased levels of these cytokines in those without an immune response at week 12 compared with responders suggest that even in the setting of premalignancy, vaccines may need to be combined with or preceded by other nontoxic approaches that can alleviate immunosuppression.

In some individuals, the baseline levels of anti-MUC1 antibodies were relatively high and did not increase after vaccination. One reason why those with high antibody titers at baseline did not respond to the vaccine could be that the preexisting antibodies cleared the administered vaccine antigen, preventing its presentation for additional immune priming or reactivation of a memory response. Alternatively, the antibodies at baseline were generated when the individuals were immunocompetent but immunosuppressive mechanisms developed in the presence of the adenoma prevented a renewed response to the vaccine. We did not observe a correlation between high baseline anti-MUC1 antibody levels and adenoma recurrence, but we did observe a lower adenoma recurrence rate in those who generated both an initial and a memory response.

We reproduced the observation made in the pilot study that circulating MDSCs, but not circulating Tregs, were an immune correlate of vaccine non-responsiveness. The availability of the placebo group in this trial allowed us to distinguish between the MDSC role in suppressing immune responses to the vaccine, versus their role in preventing adenoma recurrence. MDSC levels were similar in placebo participants with and without adenoma recurrence. We do not know why some individuals with advanced adenoma have higher levels of circulating MDSCs. Being that response to the vaccine is compromised by the presence of these cells, PMN-MDSC levels could be used to select participants who would be more likely to respond to the MUC1 vaccine. Development of safe and effective approaches for MDSC neutralization of their immunosuppressive effect are also potential considerations. Supplemental arginine, an amino acid important for T-cell survival (42), could replace arginine depleted by the MDSC-produced arginase (43). Phosphodiesterase inhibitors inhibit MDSC (44), or priming with systemic poly IC-LC (21), could be considered as combination treatments with the vaccine. Administration of cytokines such as IL7 and IL15 could promote T-cell expansion and function (45) that, when added to the vaccine, might increase antibody response levels.

Women were more likely to respond to the vaccine than men. Sex differences in response to vaccination and various immunotherapies have been previously observed and explanations proposed (46–49). MUC1 vaccine may be more immunogenic in females than in males because females experience a larger number of epithelial inflammatory events such as ovulatory cycles, endometriosis, and use of intrauterine devices, which affect epithelial tissues and transiently change MUC1 expression from normal to the tumor-like form, which can lead to spontaneous, albeit low level, immune priming and immune memory for abnormal MUC1 (50, 51). This immune memory could facilitate the response to the MUC1 vaccine resulting in a stronger immune response.

We used anti-MUC1 IgG as the marker for response to the vaccine. IgG is a highly stable molecule that is simple and cost effective to measure. Because MUC1-specific B cells require MUC1-specific T cell help to produce IgG, this is also an indirect measure of the T-cell response. Anti-MUC1 IgG antibodies decreased over time, as reflected in week 52 and 156 antibody levels. However, the response to the week 52 booster confirmed the presence of vaccine-elicited memory T cells that could be activated by the booster and stimulate antibody production.

MUC1 is a cell surface antigen and anti-MUC1 antibodies could be important effector molecules for elimination of epithelial tissue expressing tumor-associated MUC1 through antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP; ref. 52). Tumor (or a premalignant lesion) destruction by ADCC and ADCP results in antigen release and antigen-presenting cell activation, leading to increased antigen presentation and generation of new immune responses, known as epitope spreading (53). Inducing immunity to one immunogenic antigen can create a favorable environment for the generation of immune responses to other antigens, which may have an even stronger protective effect.

Considering that the use of nonmutated tumor-associated antigens as immunotherapy can potentially generate autoimmunity (54), it is notable that the MUC1 vaccine was well-tolerated without significant toxicity other than injection site reactions that resolved without treatment. To confirm the tumor MUC1 specificity of the vaccine-elicited MUC1 immunity, we had cloned multiple anti-MUC1 IgG antibodies from vaccine responders in our pilot study and demonstrated that they reacted with MUC1 on tumor cells and not on corresponding healthy tissues (55). Thus, autoimmunity and other immune-mediated toxicities were not a limiting factor. Most importantly, we demonstrated the feasibility of testing nonmutated, shared tumor-associated antigen vaccines in the preventive setting, permitting an understanding of vaccine immunogenicity and safety without the confounding issues of cancer and cancer therapy. Our study demonstrates that individuals at increased risk for cancer are amenable to participating in vaccine trials to reduce their risk for cancer.

In this placebo-controlled, randomized trial of MUC1 vaccine, immune responses to MUC1 were limited to vaccine recipients. There was a nonsignificant, but suggestive reduction in adenoma recurrence among those with a significant immune response to both the priming and to the booster vaccine. Efforts to further improve the immune response to the vaccine are needed to better assess its potential for prevention of CRC and other adenocarcinomas that express abnormal MUC1.

R.E. Schoen reports grants from Freenome, Exact Sciences, and Immunovia during the conduct of the study; in addition, R.E. Schoen has a patent for Anti-MUC1 Binding Agent and Uses Thereof pending. M. Cruz-Correa reports grants from Merck, BMS, Janssen, SeaGen, Pfizer, AbbVie, Natera, Eli Lilly, Gilead, BeiGene, and HUYABIO outside the submitted work. A. Bansal reports other support from Cancer Prevention Network during the conduct of the study. D. Kastenberg reports other support from Freenome and Exact Sciences, as well as personal fees from Medtronic outside the submitted work. A. Salazar reports other support from Oncovir, Inc. during the conduct of the study, as well as other support from Oncovir, Inc. outside the submitted work. R.K. Pai reports other support from Alimentiv outside the submitted work. A.D. Singhi reports other support from Foundation Medicine, Inc. outside the submitted work. B. Diergaarde reports grants from NIH during the conduct of the study. N.R. Foster reports grants from Government - DCP during the conduct of the study. D.M. Zahrieh reports employment with Ultragenyx Pharmaceutical Inc. This work was not sponsored by Ultragenyx; D.M. Zahrieh's affiliation at the time the research was conducted was Mayo Clinic. P.J. Limburg reports grants from NCI during the conduct of the study, as well as other support from Exact Sciences outside the submitted work. In addition, P.J. Limburg had rights to royalty sharing related to work with Exact Sciences, per institutional policy as a Mayo Clinic employee. O.J. Finn reports grants from NCI during the conduct of the study, as well as personal fees from PDS Biotech, Invectys, Immodulon, and Ardigen outside the submitted work. No disclosures were reported by the other authors.

R.E. Schoen: Conceptualization, resources, formal analysis, supervision, funding acquisition, investigation, methodology, writing–original draft, project administration, writing–review and editing. L.A. Boardman: Investigation, writing–review and editing. M. Cruz-Correa: Investigation, writing–review and editing. A. Bansal: Investigation, writing–review and editing. D. Kastenberg: Investigation, writing–review and editing. C. Hur: Investigation, writing–review and editing. L. Dzubinski: Investigation, project administration. S.F. Kaufman: Investigation, project administration. L.M. Rodriguez: Conceptualization, supervision, project administration, writing–review and editing. E. Richmond: Supervision, project administration, writing–review and editing. A. Umar: Supervision, writing–review and editing. E. Szabo: Supervision, project administration, writing–review and editing. A. Salazar: Resources. J. McKolanis: Investigation. P. Beatty: Investigation. R.K. Pai: Investigation, writing–review and editing. A.D. Singhi: Investigation, methodology, writing–review and editing. C.M. Jacqueline: Investigation. R. Bao: Investigation, methodology, writing–review and editing. B. Diergaarde: Investigation, writing–original draft. R.P. McMurray: Formal analysis. C. Strand: Formal analysis. N.R. Foster: Formal analysis, supervision, writing–review and editing. D.M. Zahrieh: Formal analysis. P.J. Limburg: Conceptualization, supervision, writing–review and editing. O.J. Finn: Conceptualization, supervision, funding acquisition, investigation, methodology, writing–original draft.

This work was supported by contract HHSN261201200042I to the Mayo Clinic. Bioinformatics analysis was performed by Cancer Bioinformatics Services (CBS), supported in part by NCI through the UPMC Hillman Cancer Center CCSG award (P30CA047904).

The publication costs of this article were defrayed in part by the payment of publication fees. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.

Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

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