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An immune-related gene signature predicts prognosis of gastric cancer.
Jiang, Bitao; Sun, Qingsen; Tong, Yao; Wang, Yuzhuo; Ma, Haifen; Xia, Xuefei; Zhou, Yu; Zhang, Xingguo; Gao, Feng; Shu, Peng.
Afiliação
  • Jiang B; Department of Hematology and Oncology, Beilun People's Hospital, Ningbo.
  • Sun Q; Department of Gastrointestinal Hernia Surgery, CangZhou People's Hospital, CangZhou.
  • Tong Y; College of Agriculture and Life Sciences, Cornell University, Ithaca, USA.
  • Wang Y; Prenatal Diagnostic Laboratory, CangZhou People's Hospital, CangZhou.
  • Ma H; Beilun People's Hospital, Ningbo.
  • Xia X; Beilun People's Hospital, Ningbo.
  • Zhou Y; Beilun People's Hospital, Ningbo.
  • Zhang X; Beilun People's Hospital, Ningbo.
  • Gao F; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou.
  • Shu P; Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China.
Medicine (Baltimore) ; 98(27): e16273, 2019 Jul.
Article em En | MEDLINE | ID: mdl-31277152
BACKGROUND: Although the outcome of patients with gastric cancer (GC) has improved significantly with the recent implementation of annual screening programs. Reliable prognostic biomarkers are still needed due to the disease heterogeneity. Increasing pieces of evidence revealed an association between immune signature and GC prognosis. Thus, we aim to build an immune-related signature that can estimate prognosis for GC. METHODS: For identification of a prognostic immune-related gene signature (IRGS), gene expression profiles and clinical information of patients with GC were collected from 3 public cohorts, divided into training cohort (n = 300) and 2 independent validation cohorts (n = 277 and 433 respectively). RESULTS: Within 1811 immune genes, a prognostic IRGS consisting of 16 unique genes was constructed which was significantly associated with survival (hazard ratio [HR], 3.9 [2.78-5.47]; P < 1.0 × 10). In the validation cohorts, the IRGS significantly stratified patients into high- vs low-risk groups in terms of prognosis across (HR, 1.84 [1.47-2.30]; P = 6.59 × 10) and within subpopulations with stage I&II disease (HR, 1.96 [1.34-2.89]; P = 4.73 × 10) and was prognostic in univariate and multivariate analyses. Several biological processes, including TGF-ß and EMT signaling pathways, were enriched in the high-risk group. T cells CD4 memory resting and Macrophage M2 were significantly higher in the high-risk risk group compared with the low-risk group. CONCLUSION: In short, we developed a prognostic IRGS for estimating prognosis in GC, including stage I&II disease, providing new insights into the identification of patients with GC with a high risk of mortality.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / DNA de Neoplasias / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / DNA de Neoplasias / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Perfilação da Expressão Gênica / Transcriptoma Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2019 Tipo de documento: Article