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Prediction of radiosensitive patients with gastric cancer by developing gene signature.
Zhou, Jin; Wu, Xiaoyu; Li, Gang; Gao, Xin; Zhai, Min; Chen, Weichang; Hu, Huagang; Tang, Zaixiang.
Afiliación
  • Zhou J; Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
  • Wu X; Department of Surgical Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210029, P.R. China.
  • Li G; Department of General Surgery, Jiangsu Cancer Hospital, Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, P.R. China.
  • Gao X; Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
  • Zhai M; Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
  • Chen W; Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
  • Hu H; School of Nursing, Medical College of Soochow University, Suzhou, Jiangsu 215123, P.R. China.
  • Tang Z; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, and Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, Jiangsu 215123, P.R. China.
Int J Oncol ; 51(4): 1067-1076, 2017 Oct.
Article en En | MEDLINE | ID: mdl-28902346
Adjuvant radiotherapy is an important clinical treatment for the majority of gastric cancer, a common cancer. However, radiotherapy is a double-edged sword. It is necessary to develop a method to predict radiosensitive patients who are most likely to benefit from radiotherapy. Using the publicly available data of gastric cancer from The Cancer Genome Atlas (TCGA), we developed a gene signature that predicts radiosensitive patients through estimating a new index, nominal HR (nHR) (HR product of sensitive genes), for each patient. In this study, we provided several results to validate our prediction. Cross-validation results showed that the predicted radiosensitive patients who received radiotherapy had significantly better survival than predicted radiosensitive patients who did not receive radiotherapy. After adjusting for other clinical factors, including age, sex, target therapy, histologic diagnosis, tumor stage, the benefit of radiotherapy on predicted radiosensitive patient remained significant. In addition, predicted radiosensitive patients who received radiotherapy had a significantly reduced rate of disease progression. Taken together, we have obtained a set of genes, to identify radiosensitive patients with gastric cancer. These genes may be potential biomarkers for diagnosis and treatment of gastric cancer, which could give new insight for revealing the underlying mechanism of radiosensitivity of gastric cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Biomarcadores de Tumor / Biología Computacional / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Int J Oncol Asunto de la revista: NEOPLASIAS Año: 2017 Tipo del documento: Article Pais de publicación: Grecia
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Biomarcadores de Tumor / Biología Computacional / Redes Reguladoras de Genes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Int J Oncol Asunto de la revista: NEOPLASIAS Año: 2017 Tipo del documento: Article Pais de publicación: Grecia