An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factors

An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factors

By leveraging tumorgraft (patient-derived xenograft) RNA-sequencing data, we developed an empirical approach, DisHet, to dissect the tumor microenvironment (eTME). We found that 65% of previously defined immune signature genes are not abundantly expressed in renal cell carcinoma (RCC) and identified...

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Main Authors: Tao Wang, Rong Lü, Payal Kapur, Bijay S. Jaiswal, Raquibul Hannan, Ze Zhang, Iván Pedrosa, Jason J. Luke, He Zhang, Leonard D. Goldstein, Qurratulain Yousuf, Yi-Feng Gu, Tiffani McKenzie, Allison Joyce, Min S. Kim, Xinlei Wang, Danni Luo, Oreoluwa Onabolu, Christina Stevens, Zhiqun Xie, Mingyi Chen, Alexander Filatenkov, José Torrealba, Xin Luo, Wenbin Guo, Jingxuan He, Eric Stawiski, Zora Modrušan, Steffen Durinck, Somasekar Seshagiri, James Brugarolas
Format: Artigo
Jezik:angleščina
Izdano: 2018
Online dostop:https://doi.org/10.1158/2159-8290.cd-17-1246
https://cancerdiscovery.aacrjournals.org/content/candisc/8/9/1142.full.pdf
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Izvleček:By leveraging tumorgraft (patient-derived xenograft) RNA-sequencing data, we developed an empirical approach, DisHet, to dissect the tumor microenvironment (eTME). We found that 65% of previously defined immune signature genes are not abundantly expressed in renal cell carcinoma (RCC) and identified 610 novel immune/stromal transcripts. Using eTME, genomics, pathology, and medical record data involving >1,000 patients, we established an inflamed pan-RCC subtype (IS) enriched for regulatory T cells, natural killer cells, T

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