Abstract: 8 Background: Pembrolizumab is a humanized anti-PD1 antibody that is approved for use in advanced melanoma, recurrent or metastatic head and neck squamous cell carcinoma, and metastatic non-small-cell lung cancer. It has also shown clinical activity in a number of other tumor types in clinical trials, but there is need for a precise and accurate test that can identify patients most likely to benefit from therapy. We have previously described the development and analytical performance of a NanoString RNA expression clinical trial assay, referred to here as the Tumor Inflammation Signature (TIS) assay, which is being evaluated as a patient enrichment biomarker in multiple solid tumor types for treatment with pembrolizumab. Here we describe additional performance data and analytical verification of reproducibility from tissue and RNA input range in multiple tumor types. Methods: Linearity and specificity were assessed with single targets or pools of in vitro transcribed RNAs with sequences matching the 18 biomarker and 10 normalization gene probe targets. The verification of the previously reported analytical precision from RNA and reproducibility from tissue was performed using independent samples from 11 tumor types. The biological variability of the signature within a patient sample was evaluated by testing multiple core punches from formalin fixed paraffin embedded (FFPE) tissue blocks. Results: The TIS assay’s measurement of the 28 genes was linear across a wide dynamic range ( ≥ 4 logs) and was highly specific with 〈 1% cross reactivity between probes. The assay was verified across the specified RNA input range with 〉 90% concordance at the low end (50ng) of the RNA input range. The total standard deviation of the anti-PD1 Predictor Score from tissue was verified as 〈 5% of the signature score range and 〉 90% concordance in biomarker high/low categorization within the biological replicates. Conclusions: The analytical performance of the NanoString TIS assay was verified to be robust. The assay is well suited for decentralized clinical testing and is currently under investigation to identify responders to anti-PD1 therapy in multiple tumor types in several clinical studies.

Abstract: Worldwide, lung cancer is the most commonly diagnosed form of cancer with a survival rate among the lowest. Combined, somatic mutations (in the form of SNVs and InDels) and gene fusions, account for the majority of interpretable and actionable genomic alterations. Importantly, this typically requires the analysis of DNA and RNA from limited amounts of FFPE-preserved specimens. Currently, these analyses typically require complex sample pre-processing for assay on separate platforms or separate complex library preparation methods for assessment by high throughput sequencing. To provide a unified and simpler alternative, NanoString’s molecular barcoding technology has been modularized to permit simultaneous digital measurement of cancer-relevant targets that span these two analyte classes. Novel ‘SNV’ probes enable sensitive and specific identification of DNA mutant allele sequences down to a level of detection of ≤ 5% from 5 ng of FFPE-extracted genomic DNA. Fusion transcripts are detected with 5’/3’ imbalance probes and toehold-mediated junction probes. This dual analyte workflow requires just a single 5-10 micron section of FFPE tissue and provides to sample-to-answer results with approximately 5 minutes of hands-on time per sample after nucleic acid extraction. To demonstrate utility, 37 lung cancer samples were assayed simultaneously with an SNV panel that targets & gt;100 solid tumor somatic mutations and a lung cancer fusion gene panel that provides general evidence of ALK, RET, and ROS1 gene fusion events along with specific detection of 35 unique fusion transcripts that correspond to known break-points. In this particular cohort, 16 samples were positive for activating KRAS SNVs (one of which was also positive for an activating STK11 variant), 3 were positive for activating EGFR mutations including two SNVs and an 18-base InDel and one was positive for an activating KIF5B16:RET12 fusion transcript. Positive mutation calls obtained with the SNV panel could only be confirmed by whole-exome sequencing (average depth of 100X) for 13 of 20 variants detected; however, ultra-deep (average depth of 4400X) targeted sequencing revealed that the 7 additional panel-detected mutations were, in fact, present. Measured against the sequencing datasets, the SNV panel provided 100% sensitivity, specificity, accuracy and precision for all variants present at 5% or greater allele frequency. The KIF5B16:RET12 fusion event was also confirmed by sequencing. Combined, these results show that these two important classes of activating mutations can be readily and efficiently assayed together on a NanoString nCounter® system (for research use only). Citation Format: A. McGarry Houghton, Gavin Meredith, Julia Kargl, Jill McKay-Fleisch, P. Martin Ross, Anisha Kharkia, Afshin Mashadi-Hossein, Dae Kim, Joseph Beechem. Simultaneous detection of activating somatic DNA mutations and expressed fusion transcripts from lung tumor FFPE samples [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 2422. doi:10.1158/1538-7445.AM2017-2422

Abstract: Background: Understanding heterogeneity within individual breast tumors is key to the ability to predict therapeutic outcome. Molecular heterogeneity is commonly evaluated based on genomic features, including mRNA abundance, gene copy number events, and somatic mutations. The expression profile and activation state of key proteins is widely recognized as another key element in defining tumor heterogeneity. We have taken advantage of NanoString 3D Biology™ technology (for research use only) and curated nCounter Vantage 3DTM Solid Tumor Assay to interrogate a survey panel of HER2-positive breast tumors with the ultimate goal of determining key relationships between multiple genomic and proteomic profiles in individual tumors. Methods: We analyzed samples from 24 HER2+ breast cancer patients using NanoString technology to quantify the expression profile for over 25 total and phospho signaling proteins, including PI3K/MAPK/EGFR/HER2, 770 mRNA corresponding to 13 canonical cancer pathways, and 104 somatic mutations and small INDELS that are commonly associated with cancer, including 8 known PIK3CA mutations. These analyses were carried out in a matched fresh frozen and FFPE samples on the nCounter paltform. Data were analyzed by nSolver to identify genotype specific expression profiles across the 24 samples. Results: In our proof-of-concept data set, we successfully demonstrate that NanoString’s 3D biology Technology shows concordance across both FFPE and fresh frozen sample types for DNA, RNA, and protein. NanoString analysis also showed high concordance to gold-standard techniques used to assess genotype and RNA expression profiles. The combination of digital DNA, RNA, and protein data from our HER2+ breast cancer samples yielded potentially actionable data based on mapping of mutational status as the driver of key differences in protein expression and mRNA abundance of the signaling targets profiled. This work sheds new light on HER2+ breast cancer biology and the interplay between genomic and proteomic profiles while setting the stage for future studies that further probe the differences observed in this sample set. Conclusions: Simultaneous analysis of mutational status (SNV) and expression at the level of both mRNA and protein promises to enable a more detailed view of the relationship between genotype and the biological and clinical behavior of key tumor types. The NanoString Vantage 3DTM Solid Tumor platform provides a rapid, reliable, and economic means of assessing these analytes simultaneously. The application of these analytes to models that make clinically actionable predictions will require additional analyses of large sample cohorts, but such analysis is quite feasible using a variety of sample types. Acknowledgements: Supported in part by grants from the Breast Cancer Research Foundation and the 26.2 with Donna Foundation. Citation Format: Sarayna Chumsri, Daniel J. Serie, Brian M. Necela, Jennifer M. Kachergus, Bianca C. Axenfeld, Gokhan Demirkan, Gavin Meredith, P. Martin Ross, Anisha Kharkia, Erin Piazza, Afshin Mashadi-Hossein, Sarah Warren, Sarah A. McLaughlin, Joseph Beechem, Gary Geiss, E. Aubrey Thompson. Simultaneous analysis of the mutational landscape and RNA and protein expression profile of HER2-positive breast cancer using 3D BiologyTM [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 3377. doi:10.1158/1538-7445.AM2017-3377

Abstract: Pancreatic cancer is characterized by extensive stromal desmoplasia, which decreases blood perfusion and impedes chemotherapy delivery. Breaking the stromal barrier could both increase perfusion and permeabilize the tumor, enhancing chemotherapy penetration. Mechanical disruption of the stroma can be achieved using ultrasound-induced bubble activity—cavitation. Cavitation is also known to result in microstreaming and could have the added benefit of actively enhancing diffusion into the tumors. Here, we report the ability to enhance chemotherapeutic drug doxorubicin penetration using ultrasound-induced cavitation in a genetically engineered mouse model (KPC mouse) of pancreatic ductal adenocarcinoma. To induce localized inertial cavitation in pancreatic tumors, pulsed high-intensity focused ultrasound (pHIFU) was used either during or before doxorubicin administration to elucidate the mechanisms of enhanced drug delivery (active vs. passive drug diffusion). For both types, the pHIFU exposures that were associated with high cavitation activity resulted in disruption of the highly fibrotic stromal matrix and enhanced the normalized doxorubicin concentration by up to 4.5-fold compared with controls. Furthermore, normalized doxorubicin concentration was associated with the cavitation metrics (P & lt; 0.01), indicating that high and sustained cavitation results in increased chemotherapy penetration. No significant difference between the outcomes of the two types, that is, doxorubicin infusion during or after pHIFU treatment, was observed, suggesting that passive diffusion into previously permeabilized tissue is the major mechanism for the increase in drug concentration. Together, the data indicate that pHIFU treatment of pancreatic tumors when resulting in high and sustained cavitation can efficiently enhance chemotherapy delivery to pancreatic tumors. Cancer Res; 75(18); 3738–46. ©2015 AACR.

Abstract: Young age has been shown to be an independent predictor of poor outcome in breast cancer. In HER2-positive breast cancer, the effects of aging remain largely unknown. Experimental Design: A total of 4,547 patients were included [3,132 from North Central Cancer Treatment Group (NCCTG) N9831 and 1,415 from National Surgical Adjuvant Breast and Bowel Project (NSABP) B-31]. Pathologic stromal tumor-infiltrating lymphocyte (sTIL) and molecular tumor infiltrating lymphocyte (mTIL) signatures were evaluated. Results: In NCCTG N9831, comparable benefit of trastuzumab was observed in all patients [age ≤ 40; HR, 0.43; 95% confidence interval (CI), 0.28–0.66; P & lt; 0.001; and age & gt; 40; HR, 0.56; 95% CI, 0.45–0.69; P & lt; 0.001]. Similar results were observed in NSABP B-31 (age ≤ 40; HR, 0.45; 95% CI, 0.29–0.68; P & lt; 0.001; and age & gt; 40; HR, 0.42; 95% CI, 0.33–0.54; P & lt; 0.001). Among patients who received chemotherapy alone, younger age was associated with poor outcome in the hormone receptor–positive subset, but not the hormone receptor–negative subset, in both trials. Although there was no association between sTILs and age, a small, but significant increase in mTIL CD45 and some immune subset signatures were observed. Among patients who received chemotherapy alone, patients over 40 years of age with lymphocyte-predominant breast cancer had excellent outcome, with 95% remaining recurrence free at 15 years. Conclusions: Among patients treated with trastuzumab, there was no significant difference in outcome related to age. Our study suggests that trastuzumab can negate the poor prognosis associated with young age.

Abstract: Introduction: Identifying prior therapy exposures that affect the patient or their peripheral blood mononuclear cell (PBMC) material is one strategy to optimize outcomes to CAR T cell therapy. Alkylating agents commonly used in multiple myeloma management, such as cyclophosphamide, have been reported to impair the proliferative capacity of T lymphocytes and to blunt their functional activity (Ercolini et al. J Exp Med. 2005;201:1591; Banissi et al. Cancer Immunol Immunother. 2009;58:1627; Litterman et al. J Immunol. 2013;190:6259). In the pivotal phase 2 KarMMa trial (NCT03361748) investigating the BCMA-directed CAR T cell therapy idecabtagene vicleucel (ide-cel, bb2121) in triple-class exposed patients with RRMM, 80% of patients had a history of prior anticancer treatment with ≥1 alkylating agents. In this retrospective analysis, patient and PBMC characteristics associated with time from last dose of alkylating agent(s) until apheresis of PBMCs for CAR T cell manufacture were identified. Methods: PBMCs isolated from patient apheresis material, which serves as starting material for CAR T cell manufacturing, were immunophenotyped by polychromatic flow cytometry for markers associated with T cell differentiation, memory, senescence, and exhaustion. Data from relevant prespecified clinical and exploratory endpoints were collected, and a novel implementation of left-censored time-to-event analysis (Ware et al. Biometrics. 1976;32:459) was used to identify statistically significant relationships between washout time after prior alkylator exposure (encompassing 14 individual drugs) and patient and PBMC variables. Dose intensity of prior alkylators was not considered due to sparse annotations in the patient histories. Optimal cutpoints were identified for each variable that maximized the proportional hazard of receiving an alkylator between patients above and below the cutpoint, and P values were adjusted for testing multiple cutpoints. Relationships were verified by nonparametric correlation, in which alkylator washout was encoded as 1/log(−washout). Results: More recent exposure to an alkylating agent (after diagnosis but before apheresis) was associated with patients receiving more prior therapies per year to manage their disease (hazard ratio [HR]=2.63, ρ=−0.54, P & lt;0.0001), having a lower body mass index (HR=0.93, ρ=0.27, P=0.0021), and having higher ferritin levels at baseline (log-scaled HR=1.33, ρ=−0.31, P=0.0004). Patients with more recent alkylator exposure also had fewer T cells in their PBMC material (HR=2.28, ρ=0.24, P=0.0068; Figure) along with more CD8+ TEM (CCR7−/CD45RA−) and fewer CD8+ TEMRA (CCR7−/CD45RA+) T cells (HR=1.02 and 0.98, ρ=−0.2 and 0.21, P=0.023 and 0.016, respectively). A 50% reduction in the median CD3+ T cell composition of patient PBMCs was detectable up to 9 months after the last dose of alkylator, relative to patients who never received this drug class. In a multivariate model evaluating the correlation between the T cell fraction in PBMCs and number of therapies per year and alkylator washout period, number of therapies per year did not significantly improve model performance compared with the null model including alkylator washout alone. Conclusions: Associations between patient characteristics and alkylator washout suggest that patients who more recently received alkylating agents to manage their myeloma had a more aggressive disease course, having progressed more quickly through prior regimens, and had lower weight and elevated systemic inflammation. Although these factors suggest a suboptimal patient profile, the depletion of T cells by alkylator therapy may be especially disadvantageous for autologous CAR T cell therapies (Wang et al. Mol Ther Oncolytics. 2016;3:16015; Perica et al. Biol Blood Marrow Transplant. 2018;24:1135). Our analysis found that the use of alkylators prior to CAR T cell therapy exhibits a detrimental effect on the apheresis PBMC material up to 6-9 months after the last dose. Figure 1 Disclosures Rytlewski: Adaptive Biotechnologies: Current equity holder in publicly-traded company; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Madduri:Kinevant: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Speaking Engagement, Speakers Bureau; Legend: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Speaking Engagement, Speakers Bureau; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Speaking Engagement, Speakers Bureau; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Foundation Medicine: Consultancy, Honoraria. Fuller:BMS: Current Employment. Campbell:Bristol-Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Mashadi-Hossein:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company; NanoString Technologies: Ended employment in the past 24 months. Thompson:Bristol-Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Jiang:Bristol Myers Squibb: Current equity holder in publicly-traded company; Juno Therapeutics, a Bristol Myers Squibb company: Current Employment. Martin:BMS: Current Employment, Current equity holder in publicly-traded company. Sangurdekar:bluebird bio: Current Employment, Current equity holder in publicly-traded company; Biogen: Ended employment in the past 24 months. Finney:bluebird bio: Current Employment, Current equity holder in publicly-traded company; Seattle Childrens Research Institute: Ended employment in the past 24 months. Bitter:Novartis: Ended employment in the past 24 months; Novartis AG: Patents & Royalties; bluebird bio: Current Employment, Current equity holder in publicly-traded company; F Hofmann-La Roche: Patents & Royalties; Predicant Biosciences: Patents & Royalties; Biospect: Patents & Royalties. Agarwal:BMS: Current Employment, Current equity holder in publicly-traded company. Kaiser:BMS: Current Employment, Current equity holder in publicly-traded company. Hege:Arcus Biosciences (Former Board of Directors): Divested equity in a private or publicly-traded company in the past 24 months; Mersana Therapeutics: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Celgene (acquired by Bristol Myers Squibb): Ended employment in the past 24 months; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Patents & Royalties: numerous, Research Funding. Hause:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company.

Abstract: Recent trials have shown potential benefit of extended adjuvant endocrine therapy and relatively high risk of recurrence (RoR) after 5 years in hormone receptor-positive (HR+) human epidermal growth factor receptor 2–negative (HER2−) breast cancer. Although risk of late relapse in HR+ HER2− breast cancer is fairly well defined, the risk in HER2-positive (HER2+) breast cancer treated with adjuvant trastuzumab-based chemotherapy remains largely unknown. METHODS We included 3,177 patients with HER2+ breast cancer treated with adjuvant chemotherapy alone or with trastuzumab from the North Central Cancer Treatment Group N9831 (ClinicalTrials.gov identifier: NCT00005970 ) and National Surgical Adjuvant Breast and Bowel Project B-31 (ClinicalTrials.gov identifier: NCT00004067 ) trials. RESULTS Overall, HR+ breast cancer was significantly associated with improved recurrence-free survival (RFS) during the first 5 years (hazard ratio, 0.65; 95% CI, 0.56 to 0.77; P 〈 .001). Among patients treated with trastuzumab, cumulative hazard for RFS was lower in patients with HR+ HER2+ breast cancer during the first 5 years (10.96% v 17.48%; hazard ratio, 0.60; 95% CI, 0.45 to 0.79; P 〈 .001). However, there was no significant difference in RFS based on HR status during years 5 to 10 (hazard ratio, 1.32; 95% CI, 0.93 to 1.88; P = .12). A comparable degree of trastuzumab benefit was observed in HR+ and HR− breast cancers ( P for interaction = .87). Furthermore, we observed low RoR in years 5 to 10 among patients with HR+ HER2+ breast cancer: 3.23% in patients without lymph node involvement (N0) and 6.39% in patients with involvement of one to three lymph nodes (N1). CONCLUSION The benefit of adjuvant trastuzumab persists for a long time. A distinct pattern of recurrence was observed between HR+ and HR− HER2+ disease but with similar degree of benefit from adjuvant trastuzumab. RoR in years 5 to 10 in HR+ HER2+ breast cancer is low, particularly in patients with N0 or N1 disease.