{"doi":"10.1136/jitc-2019-000336","title":"Genetic associations of T cell cancer immune response-related genes with T cell phenotypes and clinical outcomes of early-stage lung cancer","abstract":"BACKGROUND: Recent advances in T cell-related immunotherapy have brought remarkable progress in the treatment of non-small cell lung cancer (NSCLC). However, whether and how genetic variations of T cell cancer immune response genes can influence clinical outcomes of NSCLC patients remain obscure. METHODS: In this multiphase study, we assessed 2450 single-nucleotide polymorphisms (SNPs) from 280 T cell cancer immune response-related genes in 941 early-stage NSCLC patients (discovery n=536; validation n=405) to analyze the variants' associations with outcomes and to observe the effects on T cell phenotypes. RESULTS: :rs10108662 was the most significant SNP associated with death risk (HR 1.87, 95% CI 1.40 to 2.51, p=2.17E-05). Analysis of unfavorable genotypes indicated cumulative effects on death and recurrence risks. Seven treatment-specific variants were found to predict opposite outcomes in surgery-only and surgery-plus-chemotherapy subgroups. Expression quantitative trait loci analysis indicated that six SNPs significantly correlated with their corresponding gene expression. T cells from high-risk subjects displayed reduced degranulation (p=0.02) and decreased cytotoxicity against cancer cells (p<0.01). Gene expression profile indicated increased IDO1 expression and decreased IL2, PRF and GZMB expression in high-risk subjects. CONCLUSIONS: Genetic variations in T cell cancer immune response pathways can impact outcomes and may be served as predictors for treatment efficacy in early-stage NSCLC patients. The correlation between immune genotypes and T cell antitumor immunity suggests a biological link between host immune genetics and NSCLC prognosis.","journal":"Journal for ImmunoTherapy of Cancer","year":2020,"id":80444,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":15,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8535,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":416710,"name":"Jian Gu","orcid":"0000-0003-3499-0973","position":1,"is_corresponding":false},{"id":416711,"name":"Linbo Wang","orcid":"0000-0003-0526-1990","position":2,"is_corresponding":false},{"id":416712,"name":"David W. Chang","orcid":"0000-0002-7106-7945","position":3,"is_corresponding":false},{"id":416713,"name":"Yuanqing Ye","orcid":"0000-0001-5708-8961","position":4,"is_corresponding":false},{"id":417283,"name":"Maosheng Huang","orcid":null,"position":5,"is_corresponding":false},{"id":247614,"name":"Jack A. Roth","orcid":"0000-0002-8955-1313","position":6,"is_corresponding":false},{"id":329378,"name":"Xifeng Wu","orcid":"0000-0001-5174-3769","position":7,"is_corresponding":false},{"id":416709,"name":"Qinchuan Wang","orcid":"0000-0002-2370-6714","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-18T21:51:24.704381Z","pmid":"32764075","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}