RESUMEN
PURPOSE: Triple-negative breast cancer (TNBC) is a heterogeneous disease with a significant challenge to effectively manage in the clinic worldwide. Immunotherapy may be beneficial to TNBC patients if responders can be effectively identified. Here we sought to elucidate the immune landscape of TNBCs by stratifying patients into immune-specific subtypes (immunotypes) to decipher the molecular and cellular presentations and signaling events of this heterogeneous disease and associating them with their clinical outcomes and potential treatment options. EXPERIMENTAL DESIGN: We profiled 730 immune genes in 88 retrospective Indian TNBC samples using the NanoString platform, established immunotypes using non-negative matrix factorization-based machine learning approach, and validated them using Western TNBCs (n=422; public datasets). Immunotype-specific gene signatures were associated with clinicopathological features, immune cell types, biological pathways, acute/chronic inflammatory responses, and immunogenic cell death processes. Responses to different immunotherapies associated with TNBC immunotypes were assessed using cross-cancer comparison to melanoma (n=504). Tumor-infiltrating lymphocytes (TILs) and pan-macrophage spatial marker expression were evaluated. RESULTS: We identified three robust transcriptome-based immunotypes in both Indian and Western TNBCs in similar proportions. Immunotype-1 tumors, mainly representing well-known claudin-low and immunomodulatory subgroups, harbored dense TIL infiltrates and T-helper-1 (Th1) response profiles associated with smaller tumors, pre-menopausal status, and a better prognosis. They displayed a cascade of events, including acute inflammation, damage-associated molecular patterns, T-cell receptor-related and chemokine-specific signaling, antigen presentation, and viral-mimicry pathways. On the other hand, immunotype-2 was enriched for Th2/Th17 responses, CD4+ regulatory cells, basal-like/mesenchymal immunotypes, and an intermediate prognosis. In contrast to the two T-cell enriched immunotypes, immunotype-3 patients expressed innate immune genes/proteins, including those representing myeloid infiltrations (validated by spatial immunohistochemistry), and had poor survival. Remarkably, a cross-cancer comparison analysis revealed the association of immunotype-1 with responses to anti-PD-L1 and MAGEA3 immunotherapies. CONCLUSION: Overall, the TNBC immunotypes identified in TNBCs reveal different prognoses, immune infiltrations, signaling, acute/chronic inflammation leading to immunogenic cell death of cancer cells, and potentially distinct responses to immunotherapies. The overlap in immune characteristics in Indian and Western TNBCs suggests similar efficiency of immunotherapy in both populations if strategies to select patients according to immunotypes can be further optimized and implemented.
RESUMEN
Human epidermal growth factors play an important role in ovarian carcinogenesis and are evaluated for prognostic and possible therapeutic roles in high-grade serous ovarian malignancies. The present study was undertaken to evaluate the expression of human epidermal growth factor receptor 2 (HER2) and epidermal growth factor receptor (EGFR) in advanced stage serous carcinoma and their influence on prognosis. The expression of HER2 and EGFR was studied in 59 cases of stage III and IV ovarian serous carcinomas by immunohistochemistry and fluorescent in situ hybridization. Of the 48 interpretable tumors for HER2, 6 tumors (12.5%) were scored as positive, 14 (29%) as equivocal and 28 tumors (58.5%) were negative by immunohistochemistry, while only 2/48 (4%) showed frank amplification by fluorescent in situ hybridization with ≥4 copies per cell. HER2 gene expression measured by quantitative polymerase chain reaction had good positive correlation with both protein expression and gene amplification. Although EGFR expression was seen in 32% of tumors, none of the tumors positive for HER2 protein or gene amplification had co-expression of EGFR indicating mutual exclusivity of their expression. Gene expression of both proteins also confirmed their inverse correlation (Pearsons CC=-0.15, P=0.3). Further there was no influence of protein or gene expression of these markers on the overall survival. In conclusion, HER2 and EGFR are expressed in a small percentage of tumors and the mutual exclusivity of these markers precludes the possibility of dual targeting with anti-HER2 and anti-EGFR therapy in advanced stage high-grade serous ovarian carcinoma.