Single-cell RNA sequencing reveals the effects of chemotherapy on human pancreatic adenocarcinoma and its tumor microenvironment

The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) is a complex ecosystem that drives tumor progression; however, in-depth single cell characterization of the PDAC TME and its role in response to therapy is lacking. Here, we perform single-cell RNA sequencing on freshly collected human PDAC samples either before or after chemotherapy. Overall, we find a heterogeneous mixture of basal and classical cancer cell subtypes, along with distinct cancer-associated fibroblast and macrophage subpopulations. Strikingly, classical and basal-like cancer cells exhibit similar transcriptional responses to chemotherapy and do not demonstrate a shift towards a basal-like transcriptional program among treated samples. We observe decreased ligand-receptor interactions in treated samples, particularly between TIGIT on CD8 + T cells and its receptor on cancer cells, and identify TIGIT as the major inhibitory checkpoint molecule of CD8 + T cells. Our results suggest that chemotherapy profoundly impacts the PDAC TME and may promote resistance to immunotherapy.

Abstract PR005: Primary results of PanCAN-SR1, a phase 1b study evaluating Gemcitabine, nab-Paclitaxel, Canakinumab, and Spartalizumab to target IL-1β and PD-1 in metastatic pancreatic cancer with correlative tissue and blood biomarker analysis

In preclinical work, the inflammatory cytokine IL-1β was shown to be upregulated in pancreatic cancer tumors and to contribute to activation of pancreatic stellate cells and immunosuppression (Das et al 2020). We conducted an open-label multicenter Phase Ib study evaluating gemcitabine, nab-paclitaxel, canakinumab (ACZ885), a high-affinity human anti-interleukin-1β (IL-1β) mAb, and spartalizumab (PDR001), a PD-1 mAb. Eligible subjects had previously untreated metastatic PDA and RECIST measurable disease. The primary objective was to confirm recommended phase II dose by evaluating the incidence of dose limiting toxicities (DLTs) in the first 56 days of dosing in at least 6 evaluable subjects utilizing a Bayesian logistic regression model. Subjects underwent baseline and on-study tissue and blood collection for correlative translational research. Results: 10 subjects were enrolled between Nov 2020 and Mar 2021. At the primary data cut off of May 23, 2021, 6 subjects were evaluable for DLT. There were no DLTs, the recommended Phase II dose was established as: gemcitabine (1000mg/m2 IV) day 1,8,15; nab-paclitaxel (125mg/m2 IV) day 1,8,15; canakinumab (250mg SC) day 1, spartalizumab (400mg IV) day 1; of each 28 day cycle. At the time of an updated database extraction on June 1, 2022, 2 subjects remain on study. Adverse events were consistent with those typically seen with chemotherapy. The most common Grade 3/4 AEs were neutropenia (60%) and anemia (50%), with no fatal AEs. One patient discontinued spartalizumab due to grade 3 pneumonitis. In preliminary efficacy analysis (n=10), there are 3 confirmed PRs, 5 subjects with stable disease, 2 subjects with progression as best response. Individual site data estimates that the 12 month OS rate is 60%; updated RR, PFS and OS data will be reported. Activation of CD8 T cells in peripheral blood and increased serum levels of IFN-induced chemokines CXCL9/10 were observed in both responder and non-responder patients. Using an in vitro suppression assay, we showed that baseline serum from responders could induce myeloid derived suppressor cells, an effect that was abrogated with treatment. Single cell transcriptional profiling, multiplex immunofluorescence and spatial transcriptomics also revealed treatment-dependent shifts in T cell activation state and myeloid cells in the tumors of patients experiencing clinical response. Conclusions: PanCAN-SR1 established the Phase II dose of canakinumab and spartalizumab with chemotherapy in first line metastatic PDA, based upon favorable benefit-risk assessment. Based on our comprehensive analysis of 10 patients treated with combination therapy including IL-1b blockade, we hypothesize that the definitive role of anti-IL-1b in human patients with pancreatic cancer is to reduce systemic immune suppression and to reduce immunosuppressive myeloid cell activation in the tumor. The clinical utility of targeting IL-1β in pancreatic cancer is being evaluated in a randomized Phase II/III study through the Precision Promise clinical trial network. NCT04581343.

Citation Format: Paul E. Oberstein, Osama Rahma, Nina Beri, Amy Stoll-D'Astice, Emily A. Kawaler, Igor Dolgalev, Gregor Werba, Victoire Cardo-Ruffino, Naïma Böllenrücher, Andressa Dias Costa, Saloney Nazeer, Matthew Squires, Jonathan Nowak, Dafna Bar-Sagi, Brian Wolpin, Diane M Simeone, Stephanie K Dougan. Primary results of PanCAN-SR1, a phase 1b study evaluating Gemcitabine, nab-Paclitaxel, Canakinumab, and Spartalizumab to target IL-1β and PD-1 in metastatic pancreatic cancer with correlative tissue and blood biomarker analysis [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr PR005.

Abstract PR010: Single-cell sequencing elucidates the effects of chemotherapy on cancer cell heterogeneity and the tumor microenvironment of human pancreatic adenocarcinoma

The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) is a complex ecosystem that drives tumor progression. Improving our understanding of the PDAC TME and its role in response to therapy via in-depth single cell characterization will have broad clinical implications for biomarker development and therapeutic design. In this study, we performed single-cell RNA sequencing on freshly collected human PDAC samples of primary (n=16) or metastatic (n=11) origin, either before (n=20) or after (n=7) chemotherapy. We found a heterogeneous mixture of basal and classical Moffitt cancer cell subtypes in all samples, along with distinct cancer-associated fibroblast (CAF) and tumor-associated macrophage (TAM) subpopulations. We identified the major CAF subpopulations as inflammatory CAFs (iCAFs) and myofibroblastic CAFs (myCAFs); within these subpopulations were a very few cells expressing immunogenic features which have previously been associated with antigen presenting CAFs (apCAFs). Tumor-associated macrophages (TAMs) could be categorized into two major subpopulations, C1QC+ TAMs or SPP1+ TAMs, each with distinct functional characteristics. For example, phagocytosis-associated gene sets were enriched in C1QC+ TAMs, while angiogenesis-associated gene sets were enriched in SPP1+ TAMs. Comparison of naïve and chemotherapy treated primary PDAC samples revealed that classical and basal-like cancer cells exhibited similar transcriptional responses to chemotherapy; this contrasts with some previous reports which posited a shift towards a basal-like transcriptional program among treated samples. We further noted that treated samples evinced fewer ligand-receptor interactions, particularly between TIGIT on CD8+ T cells and its ligand on cancer cells. We also identified TIGIT, not PD1, as the major inhibitory checkpoint molecule of CD8+ T cells in the PDAC TME. Altogether, our results suggest that chemotherapy impacts the PDAC TME and may further reduce response to immunotherapy.

Citation Format: Daniel Weissinger, Emily A. Kawaler, Gregor Werba, Ende Zhao, Despoina Kalfakakou, Surajit Dhara, Grace Oh, Xiaohong Jing, Nina Beri, Lauren Khanna, Tamas Gonda, Paul E. Oberstein, Cristina Hajdu, Cynthia Loomis, Adriana Heguy, Mara H. Sherman, Amanda W. Lund, Theodore H. Welling, Igor Dolgalev, Aristotelis Tsirigos, Diane M. Simeone. Single-cell sequencing elucidates the effects of chemotherapy on cancer cell heterogeneity and the tumor microenvironment of human pancreatic adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr PR010.

The role of CTNNB1 mutations and matrix metalloproteinases (MMPs) in anti-angiogenesis treatment of endometrial carcinoma

OBJECTIVE

Treatment options and associated biomarkers for advanced and recurrent disease are limited. Endometrial cancers (ECs) with CTNNB1 exon 3 mutations appear to have preferential response to bevacizumab, an anti-angiogenesis treatment, though the mechanism of action is unknown. We aim to identify mediators of bevacizumab-responsive endometrial cancers.

METHODS

We analyzed RNA expression from TCGA and protein expression from CPTAC to identify likely targets for β-catenin overactivity. We then transiently and stably overexpressed β-catenin in EC cells to confirm the results suggested by our in silico analysis. We performed corroborative experiments by silencing CTNNB1 in mutated cell lines to demonstrate functional specificity. We implanted transduced cells into xenograft models to study microvessel density.

RESULTS

CTNNB1-mutated ECs were associated with increased β-catenin and MMP7 protein abundance (P < 0.001), but not VEGF-A protein abundance. Overexpressing β-catenin in EC cells did not increase VEGF-A abundance but did increase expression and secretion of MMP7 (P < 0.03). Silencing CTNNB1 in CTNNB1-mutated cells decreased MMP7 gene expression in EC (P < 0.0001). Microvessel density was not increased.

CONCLUSIONS

These data provide a mechanistic understanding for bevacizumab-response in CTNNB1-mutated ECs demonstrated in GOG-86P. We hypothesize that overexpressed and secreted MMP7 potentially digests VEGFR-1, releasing VEGF-A, and increasing its availability. These activities may drive the formation of permeable vessels, which contributes to tumor progression, metastasis, and immune suppression. This mechanism is unique to EC and advocates for further clinical trials evaluating this treatment-related biomarker.

Impact of comprehensive family history and genetic analysis in the multidisciplinary pancreatic tumor clinic setting

BACKGROUND

Genetic testing is recommended for all pancreatic ductal adenocarcinoma (PDAC) patients. Prior research demonstrates that multidisciplinary pancreatic cancer clinics (MDPCs) improve treatment- and survival-related outcomes for PDAC patients. However, limited information exists regarding the utility of integrated genetics in the MDPC setting. We hypothesized that incorporating genetics in an MDPC serving both PDAC patients and high-risk individuals (HRI) could: (1) improve compliance with guideline-based genetic testing for PDAC patients, and (2) optimize HRI identification and PDAC surveillance participation to improve early detection and survival.

METHODS

Demographics, genetic testing results, and pedigrees were reviewed for PDAC patients and HRI at one institution over 45 months. Genetic testing analyzed 16 PDAC-associated genes at minimum.

RESULTS

Overall, 969 MDPC subjects were evaluated during the study period; another 56 PDAC patients were seen outside the MDPC. Among 425 MDPC PDAC patients, 333 (78.4%) completed genetic testing; 29 (8.7%) carried a PDAC-related pathogenic germline variant (PGV). Additionally, 32 (9.6%) met familial pancreatic cancer (FPC) criteria. These PDAC patients had 191 relatives eligible for surveillance or genetic testing. Only 2/56 (3.6%) non-MDPC PDAC patients completed genetic testing (p < 0.01). Among 544 HRI, 253 (46.5%) had a known PGV or a designation of FPC, and were eligible for surveillance at baseline; of the remainder, 15/291 (5.2%) were eligible following genetic testing and PGV identification.

CONCLUSION

Integrating genetics into the multidisciplinary setting significantly improved genetic testing compliance by reducing logistical barriers for PDAC patients, and clarified cancer risks for their relatives while conserving clinical resources. Overall, we identified 206 individuals newly eligible for surveillance or genetic testing (191 relatives of MDPC PDAC patients, and 15 HRI from this cohort), enabling continuity of care for PDAC patients and at-risk relatives in one clinic.

BlackSheep: A Bioconductor and Bioconda Package for Differential Extreme Value Analysis

Unbiased assays such as shotgun proteomics and RNA-seq provide high-resolution molecular characterization of tumors. These assays measure molecules with highly varied distributions, making interpretation and hypothesis testing challenging. Samples with the most extreme measurements for a molecule can reveal the most interesting biological insights yet are often excluded from analysis. Furthermore, rare disease subtypes are, by definition, underrepresented in cancer cohorts. To provide a strategy for identifying molecules aberrantly enriched in small sample cohorts, we present BlackSheep, a package for nonparametric description and differential analysis of genome-wide data, available from Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/blacksheepr.html) and Bioconda (https://bioconda.github.io/recipes/blksheep/README.html). BlackSheep is a complementary tool to other differential expression analysis methods, which is particularly useful when analyzing small subgroups in a larger cohort.

Abstract 6580: Proteogenomic characterization of endometrial carcinoma

Endometrial cancer (EC) is the sixth most common cancer in women globally and is one of the few cancers for which mortality is increasing; to address the need to develop new methods for the diagnosis and treatment of this disease, we performed a comprehensive proteogenomic characterization of 95 endometrial carcinomas.

We prospectively collected 83 endometrioid and 12 serous tumors, along with 49 normal tissue samples, for multi-omic characterization. Each sample underwent whole exome sequencing, whole genome sequencing, total RNA and miRNA sequencing, and DNA methylation array analyses. In addition, we evaluated all samples for protein, phosphorylation, and acetylation levels using an integrated, isobaric tandem mass tag labeling–based quantitative proteomics workflow. This dataset, publicly available through the Genomic Data Commons, CPTAC data portal, and other sources, provides a valuable resource for researchers and clinicians.

Our analyses of these tumors revealed, among other things, a potential role for circRNAs in the epithelial-mesenchymal transition and new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. We found possible new consequences of perturbations to the Wnt/β-catenin pathway, particularly CTNNB1 hotspot mutations; moreover, from the genome-wide acetylation survey, we found potential regulatory mechanisms linking Wnt signaling and histone acetylation. Phosphorylation data analysis suggests an elevated DNA damage response in serous tumors, which we hypothesize may be targetable by certain FDA-approved drugs. We found that TP53 hotspot mutations play unique trans-acting roles as compared to the same mutations in colon and ovarian cancers. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions; of particular translational interest, we identified a subset of patients who, despite having high amounts of microsatellite instability, exhibit biomarkers which suggest that immunotherapy would be an ineffective treatment for their disease.

By integrating global measurements of protein abundance, phosphorylation, and acetylation with next-generation genomics and transcriptomics, we have provided novel insights into biological processes underlying the development of endometrial cancers and generated strong hypotheses for new approaches to personalized treatment of individuals with endometrial cancer.

Citation Format: Emily A. Kawaler, Yongchao Dou, Daniel Cui Zhou, Marina A. Gritsenko, Karin D. Rodland, Li Ding, Bing Zhang, Tao Liu, David Fenyö, Clinical Proteomic Tumor Analysis Consortium. Proteogenomic characterization of endometrial carcinoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6580.

Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of 110 tumors and 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, and acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, and gender. Proteomic and phosphoproteomic data illuminated biology downstream of copy number aberrations, somatic mutations, and fusions and identified therapeutic vulnerabilities associated with driver events involving KRAS, EGFR, and ALK. Immune subtyping revealed a complex landscape, reinforced the association of STK11 with immune-cold behavior, and underscored a potential immunosuppressive role of neutrophil degranulation. Smoking-associated LUADs showed correlation with other environmental exposure signatures and a field effect in NATs. Matched NATs allowed identification of differentially expressed proteins with potential diagnostic and therapeutic utility. This proteogenomics dataset represents a unique public resource for researchers and clinicians seeking to better understand and treat lung adenocarcinomas.

Proteogenomic Characterization of Endometrial Carcinoma

We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. An extensive genome-wide acetylation survey yielded insights into regulatory mechanisms linking Wnt signaling and histone acetylation. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions. Collectively, our multi-omic analyses provide a valuable resource for researchers and clinicians, identify new molecular associations of potential mechanistic significance in the development of endometrial cancers, and suggest novel approaches for identifying potential therapeutic targets.