title: Development of a radiosensitivity gene signature for patients with soft tissue sarcoma.
abstract: Adjuvant radiotherapy is an important clinical treatment option for the majority of sarcomas. The motivation of current study is to identify a gene signature and to predict radiosensitive patients who are most likely to benefit from radiotherapy. Using the public available data of soft tissue sarcoma from The Cancer Genome Atlas, we developed a cross-validation procedure for identifying a gene signature and predicting radiosensitive patients through. The result showed that the predicted radiosensitive patients who received radiotherapy had a significantly better survival with a reduced rate of new tumor event and disease progression. Strata analysis showed that the predicted radiosensitive patients had significantly better survival under radiotherapy independent of histologic types. A hierarchical cluster analysis was used to validate the gene signature, and the results showed the predicted sensitivity for each patient well matched the results from cluster analysis. Together, we demonstrate a radiosensitive molecular signature that can be potentially used for identifying radiosensitive patients with sarcoma.
authors.affiliation: Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China.|Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, 215123, China.|Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, 215123, China.|Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
authors.forename: Zaixiang
authors.initials: Z
authors.lastname: Tang
authors.affiliation: Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA.
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Zeng
authors.affiliation: Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
authors.forename: Xinyan
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA.|Department of Radiation Oncology, The First Hospital, Xi'an Jiaotong University, Xi'an, Shanxi, 710061, China.
authors.forename: Jinlu
authors.initials: J
authors.lastname: Ma
authors.affiliation: Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA.
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Suto
authors.affiliation: Drug Discovery Division, Southern Research Institute, Birmingham, AL 35294, USA.
authors.forename: Bo
authors.initials: B
authors.lastname: Xu
authors.affiliation: Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
authors.forename: Nengjun
authors.initials: N
authors.lastname: Yi
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D003131:Combined Modality Therapy; D019295:Computational Biology / Q000379:methods; D016208:Databases, Factual; D018450:Disease Progression; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011836:Radiation Tolerance / Q000235:genetics*; D018714:Radiotherapy, Adjuvant; D015203:Reproducibility of Results; D012509:Sarcoma / Q000175:diagnosis / Q000235:genetics* / Q000401:mortality / Q000532:radiotherapy; D059467:Transcriptome; D016896:Treatment Outcome; D047368:Tumor Burden; D055815:Young Adult
keywords: gene signature; radio-sensitivity; radiotherapy; sarcoma; survival prediction