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Malignant peritoneal mesothelioma (MPeM) is a rare but aggressive malignancy with limited treatment options. VEGF inhibition enhances efficacy of immune-checkpoint inhibitors by reworking the immunosuppressive tumor milieu. Efficacy and safety of combined PD-L1 (atezolizumab) and VEGF (bevacizumab) blockade (AtezoBev) was assessed in 20 patients with advanced and unresectable MPeM with progression or intolerance to prior platinum–pemetrexed chemotherapy. The primary endpoint of confirmed objective response rate per RECISTv1.1 by independent radiology review was 40% [8/20; 95% confidence interval (CI), 19.1–64.0] with median response duration of 12.8 months. Six (75%) responses lasted for >10 months. Progression-free and overall survival at one year were 61% (95% CI, 35–80) and 85% (95% CI, 60–95), respectively. Responses occurred notwithstanding low tumor mutation burden and PD-L1 expression status. Baseline epithelial–mesenchymal transition gene expression correlated with therapeutic resistance/response (r = 0.80; P = 0.0010). AtezoBev showed promising and durable efficacy in patients with advanced MPeM with an acceptable safety profile, and these results address a grave unmet need for this orphan disease.Significance:Efficacy of atezolizumab and bevacizumab vis-à-vis response rates and survival in advanced peritoneal mesothelioma previously treated with chemotherapy surpassed outcomes expected with conventional therapies. Biomarker analyses uncovered epithelial–mesenchymal transition phenotype as an important resistance mechanism and showcase the value and feasibility of performing translationally driven clinical trials in rare tumors.See related commentary by Aldea et al., p. 2674.This article is highlighted in the In This Issue feature, p. 2659

STK11/LKB1 is among the most commonly inactivated tumor suppressors in non–small cell lung cancer (NSCLC), especially in tumors harboring KRAS mutations. Many oncogenes promote immune escape, undermining the effectiveness of immunotherapies, but it is unclear whether the inactivation of tumor suppressor genes, such as STK11/LKB1, exerts similar effects. In this study, we investigated the consequences of STK11/LKB1 loss on the immune microenvironment in a mouse model of KRAS-driven NSCLC. Genetic ablation of STK11/LKB1 resulted in accumulation of neutrophils with T-cell–suppressive effects, along with a corresponding increase in the expression of T-cell exhaustion markers and tumor-promoting cytokines. The number of tumor-infiltrating lymphocytes was also reduced in LKB1-deficient mouse and human tumors. Furthermore, STK11/LKB1–inactivating mutations were associated with reduced expression of PD-1 ligand PD-L1 in mouse and patient tumors as well as in tumor-derived cell lines. Consistent with these results, PD-1–targeting antibodies were ineffective against Lkb1-deficient tumors. In contrast, treating Lkb1-deficient mice with an IL6-neutralizing antibody or a neutrophil-depleting antibody yielded therapeutic benefits associated with reduced neutrophil accumulation and proinflammatory cytokine expression. Our findings illustrate how tumor suppressor mutations can modulate the immune milieu of the tumor microenvironment, and they offer specific implications for addressing STK11/LKB1–mutated tumors with PD-1–targeting antibody therapies. Cancer Res; 76(5); 999–1008. ©2016 AACR.

This file contains flow cytometry gating strategy used for the analysis of mouse tumors and surface markers for the immune cells described in the manuscript.

This file contains information regarding the figure legends and detailed description for the supplementary figures.

This file contains detailed information about the methods in the manuscript. These include: a list of clone names for all the antibodies, gating method for FACS analysis and sorting, method for mouse RNA sequencing data analysis and human gene expression and proteomic data analysis (CCLE, TCGA and PROSPECT), method for cytokine/chemokine analysis from BAL fluid and culture media.

This file contains figures which include: additional immune proofing data of mouse tumors, RNA sequencing data of neutrophils, cytokine and chemokine profile of Kras, p53, LKB1/STK11 mutant cell lines, data for neutrophil depletion, chemokine and cytokine profile of human cell lines transducer with hairpins for LKB1/STK11 or non-target, immune and survival analysis of mice treated with combination of IL6 antibody and PD-1 antibody.

Ductal carcinoma in situ (DCIS) is treated to prevent subsequent ipsilateral invasive breast cancer (iIBC). However, many DCIS lesions will never become invasive. To prevent overtreatment, we need to distinguish harmless from potentially hazardous DCIS. We investigated whether the immune microenvironment (IME) in DCIS correlates with transition to iIBC.Patients were derived from a Dutch population-based cohort of 10,090 women with pure DCIS with a median follow-up time of 12 years. Density, composition and proximity to the closest DCIS cell of CD20Higher stromal density of analysed immune cell subsets was significantly associated with higher grade, ER negativity, HER-2 positivity, Ki67 ≥ 14%, periductal fibrosis and comedonecrosis (P 0.05). Density, composition and proximity to the closest DCIS cell of all analysed immune cell subsets did not differ between cases and controls.IME features analysed by mIF in 141 patients from a well-annotated cohort of pure DCIS with long-term follow-up are no predictors of subsequent iIBC, but do correlate with other factors (grade, ER, HER2 status, Ki-67) known to be associated with invasive recurrences.

Introduction: Patients with luminal A and B early-stage ER+/HER2- breast cancer (BrCa) are uniformly treated with adjuvant endocrine therapy (ET) (±chemotherapy). A better understanding of drivers of ET resistance is required as subsequent lethal metastatic disease remains a major clinical problem. Therefore, there is an unmet clinical need to identify biomarkers that select low- and high-risk patients who may benefit from de-escalation of current treatments or alternative therapeutic interventions. In the present study, we hypothesized that while luminal A and B tumors both arise from normal hormone-responsive cells, they are transcriptionally distinct, hence allowing the identification of unique gene signatures that can predict outcomes in each subtype. Methods: Tumors from 10 early-stage ER+/HER2- BrCa patients were subjected to single-cell RNA-sequencing (scRNA-seq) analysis (10X Genomics); 6/10 tumors were classified as luminal A and 4/10 as luminal B based on combined PAM50 and immunohistochemical classification (Ki67 cut-off=20%). We performed a direct transcriptional comparison between luminal A and B tumors, using well-established signatures and unbiased differential gene expression analysis. To identify unique luminal A and B tumor-specific genes, we compared the gene expression profile of each luminal subtype with 10 non-neoplastic breast tissues. A predictive model (LASSO) was applied to select genes with the highest frequency using a training dataset. This resulted in 5- and 4-gene signatures for luminal A and B, respectively, which were used to calculate risk scores that divided each subtype into low- and high-risk groups. The prognostic value of the above signatures was validated in an independent dataset. Results: The integrated scRNA-seq analysis of luminal A and B tumors revealed transcriptionally distinct tumor cell clusters while tumor microenvironment (TME) clusters were well intermixed. Luminal B tumors had higher cell cycle and BrCa-specific scores, low ER pathway-gene expression scores, and increased 8q amplifications. IFNγ, OXPHOS, p53, hypoxia and MYC targets were the most upregulated pathways in the luminal B subtype. The TME of luminal B tumors was comprised of lower CD4+ and CD8+ T cell but higher Treg levels. Comparison with normal breast tissues revealed that early-stage ER+ BrCa arises from hormone-responsive epithelial cells and provided a number of tumor-specific genes that were used to generate prognostic signatures. These signatures were capable of differentiating high- from low-risk patients within each subtype and predicting survival outcomes in two large-scale training and validation cohorts. Conclusions: We developed a novel prognostic tool that can be used to determine duration of adjuvant ET and/or new therapeutic strategies for high-risk luminal A and B patients in the early-stage ER+/HER2- setting. Citation Format: Sofia Mastoraki, Jerome Lin, Xiayu Rao, Sophie R. Liu, Harsh Batra, Maria G. Raso, Edwin R. Parra Cuentas, Akshara S. Raghavendra, Komal S. Rasaputra, Min Yi, Jing Wang, Aysegul Sahin, Debasish Tripathy, Kelly K. Hunt, Nicholas E. Navin, Khandan Keyomarsi. Single-cell transcriptomic analysis of HR+/HER2- breast cancer identifies gene signatures that predict outcomes of luminal A and B subtypes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 515.