Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore.
Division of Pathology, Singapore General Hospital, Singapore, Singapore.
Cancer Res. 2021 Apr 1;81(7):1802-1812. doi: 10.1158/0008-5472.CAN-20-2352. Epub 2021 Feb 5.
Signaling between cancer and nonmalignant (stromal) cells in the tumor microenvironment (TME) is a key to tumor progression. Here, we deconvoluted bulk tumor transcriptomes to infer cross-talk between ligands and receptors on cancer and stromal cells in the TME of 20 solid tumor types. This approach recovered known transcriptional hallmarks of cancer and stromal cells and was concordant with single-cell, hybridization and IHC data. Inferred autocrine cancer cell interactions varied between tissues but often converged on Ephrin, BMP, and FGFR-signaling pathways. Analysis of immune checkpoints nominated interactions with high levels of cancer-to-immune cross-talk across distinct tumor types. Strikingly, PD-L1 was found to be highly expressed in stromal rather than cancer cells. Overall, our study presents a new resource for hypothesis generation and exploration of cross-talk in the TME. SIGNIFICANCE: This study provides deconvoluted bulk tumor transcriptomes across multiple cancer types to infer cross-talk in the tumor microenvironment.
肿瘤微环境(TME)中癌症和非恶性(基质)细胞之间的信号传递是肿瘤进展的关键。在这里,我们对 20 种实体瘤类型的 TME 中癌细胞和基质细胞上的配体和受体之间的串扰进行了批量肿瘤转录组去卷积推断。这种方法恢复了已知的癌症和基质细胞的转录特征,与单细胞、杂交和免疫组化数据一致。推断出的癌症细胞自分泌相互作用在不同组织之间存在差异,但往往集中在 Ephrin、BMP 和 FGFR 信号通路。免疫检查点分析提名了不同肿瘤类型之间高水平的癌症与免疫串扰的相互作用。值得注意的是,PD-L1 在基质细胞而非癌细胞中高表达。总的来说,我们的研究为 TME 中的假说生成和串扰探索提供了新的资源。
本研究提供了跨多种癌症类型的去卷积批量肿瘤转录组,以推断肿瘤微环境中的串扰。