Citations

Abstract Background: The indoleamine 2,3-dioxygenase (IDO) pathway is a key counter-regulatory mechanism that normally inhibits immune responses when appropriate. In the setting of cancer, IDO pathway-mediated immune suppression is exploited by tumors in order to prevent and defeat anti-tumor immunity. Small-molecule inhibitors of the IDO pathway, such as indoximod, are an increasingly validated class of potential cancer therapeutics. Additionally, pre-clinical tumor models have shown complementary effects with indoximod / anti-PD1 checkpoint inhibitor treatment combinations. A clinical trial was developed based upon these data. Methods: Upon successful completion of a Phase 1b dose escalation cohort, metastatic melanoma patients were enrolled in a single arm Phase 2 trial evaluating the addition of indoximod to standard of care checkpoint inhibitors approved for melanoma. Treating physicians were allowed to administer their choice of approved checkpoint inhibitor. The large majority of patients received indoximod with pembrolizumab and this interim report is limited to those patients. Indoximod was administered continuously in 21 days cycles (1200mg po twice daily) concurrently with pembrolizumab (3mg/kg q21 days). Study endpoint is best overall response (objective response rate (ORR) = complete response rate (CR) + partial response rate (PR)) per site reported RECIST criteria. Results: At time of data cut-off, 60 patients had received indoximod /pembrolizumab and were evaluable for response, defined as having at least one follow-up imaging study performed. The ORR was 52% (31/60) with a CRR of 8% (5/60). The combination was well tolerated. The most frequently reported adverse events (regardless of attribution), occurring in ≥ 20% of subjects, were fatigue, diarrhea, nausea, arthralgia, headache, cough, rash, pruritus, and hypertension. The most frequently reported laboratory abnormalities (regardless of attribution), were anemia (17%) and hyperglycemia (17%). Conclusions: The interim analysis of the combination of indoximod and pembrolizumab demonstrates an ORR of 52% which compares favorably with the established ORR for pembrolizumab alone. Updated data to be presented. NCT02073123. Citation Format: Yousef Zakharia, Robert McWilliams, Monaster Shaheen, Kenneth Grossman, Joseph Drabick, Mohammed Milhem, Olivier Rixie, Samir Khleif, Ryan Lott, Eugene Kennedy, David Munn, Nicholas Vahanian, Charles Link. Interim analysis of the Phase 2 clinical trial of the IDO pathway inhibitor indoximod in combination with pembrolizumab for patients with advanced melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr CT117. doi:10.1158/1538-7445.AM2017-CT117

Abstract Introduction: 5-fluorouracil (5-FU)-based chemoradiation (CRT) is a standard neoadjuvant treatment strategy for the treatment of locally-advanced rectal adenocarcinomas (LARC). MEK-1/2 inhibition has been shown to radiosensitize Ras mutant tumors in preclinical models, including colorectal cancer. In this phase 1 trial, we are testing MEK-1/2 inhibition in combination with neoadjuvant CRT for LARC. Methods: This trial is a standard 3+3 design testing 3 dose levels of the MEK-1/2 inhibitor trametinib in combination with CRT: 0.5 mg, 1.0 mg, and 2.0 mg daily, followed by an expansion cohort. All patients first receive a one week lead-in dosing of trametinib monotherapy, and undergo a tumor biopsy at the end of that week to assess pharmacodynamic inhibition by immunohistochemistry (IHC). Then, patients receive standard CRT (5-FU 225 mg/m2 per day by continuous infusion during radiotherapy, and 50.4 Gy in 28 fractions, 5 days/ week) in combination with trametinib (5 days/week). Patients have total mesorectal excision (TME) 6-10 weeks after completion of CRT. Results: 17 patients have been enrolled to date, with current enrollment occurring on the trametinib 2 mg expansion cohort (total 18 patients planned). Of these, 15 patients (10 males, 5 females) have toxicity and surgical response data available. Median age is 53 years (range 35-74 years), and 6 patients have Stage II disease, while 9 patients with Stage III disease. There have been no grade 4-5 toxicities. One dose-limiting toxicity (DLT) of diarrhea occurred in the 2mg dose cohort, attributed mainly to 5FU CRT, but led to trametinib discontinuation. Generalized skin rash led to trametinib discontinuation after 2 weeks of therapy for 1 patient and was held for 3 days for 2 patients. All patients completed TME, and 3 patients had wound infection at 2 weeks after TME, while 2 patients had perineal wound infection at 4 weeks after TME. Three out of 9 (33%) patients at the 2mg dose cohort had a pathologic complete response (pCR), and 2/9 (22%) patients had a near pCR. Adjuvant chemotherapy was given to 10 patients, 4 patients did not receive (3 refused), and 1 patient is pending. Correlative research studies have been performed in the first 12 patients enrolled. Examination of phospho-ERK levels using Vectra quantitative immunohistochemistry in pre-treatment versus post-lead-in trametinib tumor tissue reveals dose-dependent decreases in p-ERK expression in both tumor and stromal tissue as trametinib is increased from 0.5 to 2.0 mg (range 18-46% absolute reduction), with maximal reduction observed in the 2 mg cohort. Additionally, we have performed whole exome sequencing of a custom panel of 279 cancer associated genes (IGNITE platform) in tumor and normal tissue, and have identified high frequency mutations in KRAS, BRAF, and TP53, as well as additional lower frequency mutations in every tumor. One patient was noted to have microsatellite instability. Finally, we will present data correlating degree of change in p-ERK staining, mutational analysis, and mismatch repair status with pathologic response. Conclusions: The combination of trametinib with 5-FU-based CRT for LARC is feasible with promising signs of clinical activity and tolerability. Initial analysis of tumor tissue confirms dose-dependent pharmacodynamic inhibition of ERK-1/2 within 5 days of starting trametinib. Citation Format: Terence M. Williams, Christina Wu, Lai Wei, Emily Chan, Ryan Robb, Sameek Roychowdhury, Amy Webb, Cynthia Timmers, Tanios Bekaii-Saab, Evan Wuthrick. A phase I trial combining MEK-1/2 inhibition in combination with 5-fluorouracil and radiation for locally-advanced rectal adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr CT088. doi:10.1158/1538-7445.AM2017-CT088

Abstract Lung cancer is the leading cancer diagnosis worldwide and the number one cause of cancer deaths. Exposure to cigarette smoke, the primary risk factor in lung cancer, reduces epithelial barrier function and increases susceptibility to infections. Herein, we hypothesized that somatic mutations together with cigarette smoke create a dysbiotic microbiota that is associated with lung carcinogenesis. Using lung tissue from controls (n=33) or cancer cases (n=143), we conducted 16S rRNA gene sequencing (MiSeq), with RNA-seq data from lung cancer cases in The Cancer Genome Atlas (n=1112) serving as the validation cohort. We demonstrate a lower alpha diversity in normal lung as compared to non-tumor adjacent or tumor tissue, indicating a shift in the overall microbial community in lung cancer patients as compared to those without cancer. Lung cancer cases were classified by the relative abundance of two taxa, Variovorax and Streptococcus, with an increase in Variovorax abundance in tumors as compared to non-tumor adjacent paired lung tissue (FDR corrected P=0.013). The species of Variovorax was identified histologically, and also by two additional 16S rRNA strategies (Resphera Insight analysis and PacBio sequencing). A group of taxa were associated with squamous cell carcinoma (SCC), of which Acidovorax were enriched in smokers (P =0.0013). Further, these taxa, including Acidovorax, exhibited higher abundance among the subset of SCC cases with TP53 mutations, an association not seen in adenocarcinomas (AD). Therefore, we observed a microbiome-gene and a microbiome-exposure interaction in SCC lung cancer tissue. Together, these results open the door for future biomarker research that could be used to improve screening and direct mechanistic studies of lung cancer therapy. Citation Format: Leigh Greathouse, James White, Valery Bliskovsky, Ashley Vargas, Eric Polley, Elise Bowman, Mohammed Khan, Ana Robles, Brid Ryan, Amiran Dzutsev, Giorgio Trinchieri, Marbin Pineda, Sven Bilke, Paul Meltzer, Marina Walther-Antonio, Garth Ehrlich, Joshua Mell, Joshua Earl, Sergey Balashov, Archana Bhat, Alex Valm, Clayton Deming, Sean Conlan, Julia Oh, Julie Segre, Curtis Harris. Microbiome-TP53 gene interaction in human lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4925. doi:10.1158/1538-7445.AM2017-4925

Abstract Background: The Breast Cancer Surveillance Consortium (BCSC) model predicts invasive breast cancer risk in women with Benign Breast Disease (BBD), and recently incorporated BBD histology into the model. The BCSC has been validated in the Mayo Mammography Health Study, but has yet to be examined in Mayo Clinic’s BBD cohort. The Benign Breast Disease to Breast Cancer (BBD-BC) model predicts risk of both invasive and in situ breast cancer. Here we compare the performance of the BCSC and BBD-BC in Mayo Clinic’s BBD cohort. Methods: Eligible women underwent a breast biopsy with benign findings at the Mayo Clinic between years 1997-2001 and had a 4-view screening mammogram within six months of biopsy. Clinical BI-RADS density assessments using the 4th edition American College of Radiology were available on all mammograms, and were coded as almost entirely fat, scattered fibroglandular densities, heterogeneously dense, and extremely dense. Risk at 5 and 10 years of invasive cancer only (BCSC model) or both invasive and in situ cancer (BBD-BC model) were estimated. In situ cancers were censored at time of diagnosis for both models. Concordance statistics, i.e. model discrimination (higher is better), for each model were calculated using a Cox proportional hazards model with predicted risk as the sole predictor, and were compared using permutation tests. The ratio of total predicted (sum of predicted risk) to observed number of invasive breast cancers was used to assess model calibration. Calibration was not formally compared across models due to differences in how DCIS was treated in the development of each (BCSC censored; BBD-BC event). Results: 999 women met inclusion criteria. BI-RADS density was categorized as fatty in 46 (4.6%), scattered densities in 372 (37.2%), heterogeneously dense in 423 (42.3%), and extremely dense in 158 (15.8%). 62 invasive cancers occurred over a median 13.3yrs of follow-up, with 16 (25.8%) and 48 (77.4%) of the cancers occurring with-in 5 and 10 years. The concordance of the BCSC at 5 years was 0.550 (95% CI 0.409—0.691), compared to 0.719 (95% CI 0.578—0.860) for the BBD-BC (p-value=0.005). At 10 years the BCSC concordance was not significantly different from the BBD-BC, at 0.624 (95% CI 0.542—0.706) and 0.662 (95% CI 0.580—0.744), respectively (p-value=0.306). The BCSC over predicted the number invasive cancers in the BBD cohort at 5 years (predicted-to-observed=1.54; 95% CI 1.01—2.70), but was well calibrated at 10 years (1.06; 95% CI 0.83, 1.47). Conclusions: The BCSC model performed reasonably well in the BBD Cohort 10 years post-biopsy, but overestimated risk at 5 years. Additional study is needed to improve models for prediction of breast cancer risk among women with BBD. Citation Format: Ryan D. Frank, Celine M. Vachon, Stacey J. Winham, Robert A. Vierkant, Marlene H. Frost, Derek C. Radisky, Daniel W. Visscher, Amy C. Degnim. Validation of the BCSC model within the Mayo Benign Breast Disease Cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5299. doi:10.1158/1538-7445.AM2017-5299

Abstract BACKGROUND: Incidence of glioma varies significantly by sex, and most glioma histologies occur with greater incidence in males. Previous analyses have examined the impact of estrogen exposure as a risk factor for these tumors, but have found results of varying significance and low effect size. There may be differences in effect of previously discovered risk alleles that contribute to sex differences. METHODS: Using data collected for three previous glioma GWAS in European-ancestry populations (MD Anderson Cancer Center, the San Francisco Adult Glioma Study, and the Glioma International Case Control Study) we assessed sex-specific effects for 14 previously identified and 13 newly identified glioma risk SNPs (27 total) overall and for glioblastoma (GBM) and non-GBM tumors separately. There were 3,892 male cases (59% GBM), 4,522 male controls, 2,500 female cases (52% GBM) and 4,940 female controls. Sex-specific odds ratios (ORM and ORF), 95% confidence intervals (95% CI) and p values (pM and pF) were generated using stratified logistic regression models. Data from each study were analyzed separately and combined using inverse variance weighted meta-analysis. Results were considered statistically significant at p<6.2x10-4. RESULTS: In GBM, rs11979158 (7p11.2, pM=1.01x10-10, ORM=1.43 [95% CI: 1.28-1.59]; pF=3.43x10-3, ORF=1.22 [95% CI: 1.07-1.39]) and rs2562152 (16p13.3, pM=5.59x10-4, ORM=1.23 [95% CI: 1.09-1.39]; pF=1.22x10-1, ORF=1.12 [95% CI: 0.97-1.29]) had significant effect in males only. In non-GBM gliomas, rs12076373 (1q44, pM=3.56x10-7, ORM=1.41, 95% CI: 1.23-1.61; pF=1.76x10-2, ORF=1.20, 95% CI: 1.03-1.38), rs11979158 (7p11.2, pM=1.77x10-5, ORM=1.32 [95% CI: 1.16-1.49]; pF=2.73x10-1, ORF=1.08 [95% CI: 0.94-1.24]), and rs3751667 (16p13.3, pM=9.44x10-7, ORM=1.30 [95% CI: 1.17-1.44]; pF=5.18x10-2, ORF=1.13 [95% CI: 1.00-1.28]) had significant effect in males only. Effect size for rs55705857 (8q24.21) varied significantly by sex, with ORM=2.63 (95% CI: 2.24-3.09, pM=4.42x10-32), as compared to ORF=3.95 (95% CI: 3.28-4.76, pF=1.82x10-47). A sensitivity analysis was performed due to allele frequency heterogeneity by study and results did not change. CONCLUSIONS: Sex differences and other demographic differences in cancer susceptibility can provide important clues to etiology, and these differences can be leveraged for discovery in genetic association studies. Significant differences in effect size may suggest variation in genetic effect of risk alleles or in unidentified risk factors that vary in prevalence or effect by sex. There may also be differences in the distribution of molecular subtypes within each histology by sex. Further investigation using an agnostic approach may further elucidate the relationship between effect of risk alleles and sex. Citation Format: Quinn T. Ostrom, Ben Kinnersley, Margaret Wrensch, Jeanette E. Eckel-Passow, Georgina Armstrong, Terri Rice, Yanwen Chen, John Wiencke, Lucie McCoy, Helen Hansen, Christopher Amos, Jonine L. Bernstein, Elizabeth B. Claus, Dora Il'yasova, Christoffer Johansen, Daniel Lachance, Rose Lai, Ching C. Lau, Ryan T. Merrell, Sara H. Olson, Siegal Sadetzki, Joellen Schildkraut, Sanjay Shete, Richard S. Houlston, Robert B. Jenkins, Beatrice Melin, Melissa Bondy, Jill S. Barnholtz-Sloan. Estimating sex-specific effects of genetic loci associated with glioma risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1315. doi:10.1158/1538-7445.AM2017-1315