| Literature DB >> 29720381 |
Jeong-Sun Seo1,2,3,4, Ji Won Lee2,3, Ahreum Kim2,3, Jong-Yeon Shin2,4, Yoo Jin Jung5, Sae Bom Lee5, Yoon Ho Kim5, Samina Park6, Hyun Joo Lee6, In-Kyu Park6, Chang-Hyun Kang6, Ji-Young Yun2,4, Jihye Kim2,4, Young Tae Kim7,5,6.
Abstract
The immune microenvironment in lung squamous cell carcinoma (LUSC) is not well understood, with interactions between the host immune system and the tumor, as well as the molecular pathogenesis of LUSC, awaiting better characterization. To date, no molecularly targeted agents have been developed for LUSC treatment. Identification of predictive and prognostic biomarkers for LUSC could help optimize therapy decisions. We sequenced whole exomes and RNA from 101 tumors and matched noncancer control Korean samples. We used the information to predict subtype-specific interactions within the LUSC microenvironment and to connect genomic alterations with immune signatures. Hierarchical clustering based on gene expression and mutational profiling revealed subtypes that were either immune defective or immune competent. We analyzed infiltrating stromal and immune cells to further characterize the tumor microenvironment. Elevated expression of macrophage 2 signature genes in the immune competent subtype confirmed that tumor-associated macrophages (TAM) linked inflammation and mutation-driven cancer. A negative correlation was evident between the immune score and the amount of somatic copy-number variation (SCNV) of immune genes (r = -0.58). The SCNVs showed a potential detrimental effect on immunity in the immune-deficient subtype. Knowledge of the genomic alterations in the tumor microenvironment could be used to guide design of immunotherapy options that are appropriate for patients with certain cancer subtypes. Cancer Immunol Res; 6(7); 848-59. ©2018 AACR. ©2018 American Association for Cancer Research.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29720381 DOI: 10.1158/2326-6066.CIR-17-0453
Source DB: PubMed Journal: Cancer Immunol Res ISSN: 2326-6066 Impact factor: 11.151