Earlier-Phased Cancer Immunity Cycle Strongly Influences Cancer Immunity in Operable Never-Smoker Lung Adenocarcinoma

Exome and transcriptome analyses of clinically homogeneous early-stage never-smoker female patients with lung adenocarcinoma were performed to understand tumor-T cell interactions and immune escape points. Using our novel gene panels of eight functional categories in the cancer-immunity cycle, three...

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Veröffentlicht in:iScience 2020-08, Vol.23 (8), p.101386-101386, Article 101386
Hauptverfasser: Kim, Hong Kwan, Joung, Je-Gun, Choi, Yoon-La, Lee, Se-Hoon, Park, Byung Jo, Choi, Yong Soo, Ryu, Daeun, Nam, Jae-Yong, Lee, Mi-Sook, Park, Woong-Yang, Hwang, Soohyun, Cha, Hongui, Kim, Hong Sook, Lee, Sanghyuk, Jung, Yeonjoo, Lee, Jong Eun, Doh, Junsang, Paik, Soonmyung, Kang, Jung Hee, Lee, Jinseon, Kim, Jhingook
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Sprache:eng
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Zusammenfassung:Exome and transcriptome analyses of clinically homogeneous early-stage never-smoker female patients with lung adenocarcinoma were performed to understand tumor-T cell interactions and immune escape points. Using our novel gene panels of eight functional categories in the cancer-immunity cycle, three distinct subgroups were identified in this immune checkpoint blockade-refractory cohort by defective gene expression in two major domains, i.e., type I interferon production/signaling pathway and antigen-presenting machinery. Our approach could play a critical role in understanding immune evasion mechanisms, developing a method for effective selection of rare immune checkpoint blockade responders, and finding new treatment strategies. [Display omitted] •GMM-based clustering of cancer-immune gene expression helps to find LUAD classifiers•Classifiers are found in the earlier-phased cancer-immunity cycle•Classifiers include ubiquitination, Ag-presenting machinery, and type I IFN signaling•Tumor-intrinsic classifiers strongly influence the outcome of cancer immunity Immunology; Cancer Systems Biology; Genomics
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2020.101386