Characterization of Radiotherapy Sensitivity Genes by Comparative Gene Set Enrichment Analysis

被引:2
作者
Zhu, Min [3 ]
Li, Xiaolai [3 ]
Wang, Shujie [1 ,2 ]
Guo, Wei [1 ,2 ]
Li, Xueling [1 ,2 ]
机构
[1] Chinese Acad Sci, Hefei Inst Phys Sci, Ctr Med Phys & Technol, Anhui Prov Key Lab Med Phys & Technol, 350 Shushanhu Rd, Hefei 230031, Anhui, Peoples R China
[2] Chinese Acad Sci, Canc Hosp, 350 Shushan Rd, Hefei 230031, Anhui, Peoples R China
[3] Chinese Acad Sci, Hefei Inst Intelligent Machines, 350 Shushanhu Rd, Hefei 230031, Anhui, Peoples R China
来源
INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT II | 2018年 / 10955卷
基金
美国国家科学基金会;
关键词
Radiotherapy sensitivity genes; Radiogenomics; Gene set enrichment analysis; Transcription factors; Bioinformatics; EXPRESSION; RADIATION; NETWORK; PREDICTION; CELLS; MODEL;
D O I
10.1007/978-3-319-95933-7_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Postoperative and preoperative radiotherapy has been widely applied to kill the local cancer cells, prevent metastasis and lessen cancer burden in the treatment of cancers. However, the response to radiotherapy varies among cancer patients. In this study we mine and characterize the radiotherapy efficacy associated genes, radiosensitivity genes, in rectal cancer gene expression profile (GSE3493) from a previous study by gene set enrichment analysis. 381 genes were identified by comparing the gene expression profiles of responder and nonresponder rectal cancer patients who underwent preoperative radiotherapy. The top radiotherapy sensitive genes include MCF2, WHAMMP2, PCDHGA8, SHOX2, FAS, X81001, HAVCR1, PLXDC2, OPRM1 and PWAR5. We performed enrichment analysis of transcription factor, chromosome position, and gene sets reported in literatures by comparing this gene set with reported functional or structural gene sets. We find that the gene set has significant overlap with radiotherapy response, irradiation response, inflammation, XRCC3, ATM and BRCA1 related gene sets in different cancers from previous reports. Enriched chromosome positions include 16q13 and 17q21. The top enriched transcription factors with most number of radiotherapy response target genes include FOXP1, TP63, AR, STAT3, SOX2, SMAD4, BACH1, SMAD2, SMAD3, ZNF217 and RELA. The present study suggested the potential molecular mechanism behind the radiotherapy responders and non-responders, where both inflammatory and immune response and DNA damage response are very likely to control the radiotherapy sensitivity. The results may provide insights into the development of novel therapeutic approaches.
引用
收藏
页码:205 / 216
页数:12
相关论文
共 27 条
  • [21] A genome-based model for adjusting radiotherapy dose (GARD): a retrospective, cohort-based study
    Scott, Jacob G.
    Berglund, Anders
    Schell, Michael J.
    Mihaylov, Ivaylo
    Fulp, William J.
    Yue, Binglin
    Welsh, Eric
    Caudell, Jimmy J.
    Ahmed, Kamran
    Strom, Tobin S.
    Mellon, Eric
    Venkat, Puja
    Johnstone, Peter
    Foekens, John
    Lee, Jae
    Moros, Eduardo
    Dalton, William S.
    Eschrich, Steven A.
    McLeod, Howard
    Harrison, Louis B.
    Torres-Roca, Javier F.
    [J]. LANCET ONCOLOGY, 2017, 18 (02) : 202 - 211
  • [22] Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
    Subramanian, A
    Tamayo, P
    Mootha, VK
    Mukherjee, S
    Ebert, BL
    Gillette, MA
    Paulovich, A
    Pomeroy, SL
    Golub, TR
    Lander, ES
    Mesirov, JP
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (43) : 15545 - 15550
  • [23] Analysis of the TGFβ-induced program in primary airway epithelial cells shows essential role of NF-κB/RelA signaling network in type II epithelial mesenchymal transition
    Tian, Bing
    Li, Xueling
    Kalita, Mridul
    Widen, Steven G.
    Yang, Jun
    Bhavnani, Suresh K.
    Dang, Bryant
    Kudlicki, Andrzej
    Sinha, Mala
    Kong, Fanping
    Wood, Thomas G.
    Luxon, Bruce A.
    Brasier, Allan R.
    [J]. BMC GENOMICS, 2015, 16
  • [24] Global Cancer Statistics, 2012
    Torre, Lindsey A.
    Bray, Freddie
    Siegel, Rebecca L.
    Ferlay, Jacques
    Lortet-Tieulent, Joannie
    Jemal, Ahmedin
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2015, 65 (02) : 87 - 108
  • [25] Prediction of sensitivity of rectal cancer cells in response to preoperative radiotherapy by DNA microarray analysis of gene expression profiles
    Watanabe, T
    Komuro, Y
    Kiyomatsu, T
    Kanazawa, T
    Kazama, Y
    Tanaka, J
    Tanaka, T
    Yamamoto, Y
    Shirane, M
    Muto, T
    Nagawa, H
    [J]. CANCER RESEARCH, 2006, 66 (07) : 3370 - 3374
  • [26] Systematic Determination of Human Cyclin Dependent Kinase (CDK)-9 Interactome Identifies Novel Functions in RNA Splicing Mediated by the DEAD Box (DDX)-5/17 RNA Helicases
    Yang, Jun
    Zhao, Yingxin
    Kalita, Mridul
    Li, Xueling
    Jamaluddin, Mohammad
    Tian, Bing
    Edeh, Chukwudi B.
    Wiktorowicz, John E.
    Kudlicki, Andrzej
    Brasier, Allan R.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2015, 14 (10) : 2701 - 2721
  • [27] Regression of abdominal aortic aneurysm by inhibition of c-Jun N-terminal kinase
    Yoshimura, K
    Aoki, H
    Ikeda, Y
    Fujii, K
    Akiyama, N
    Furutani, A
    Hoshii, Y
    Tanaka, N
    Ricci, R
    Ishihara, T
    Esato, K
    Hamano, K
    Matsuzaki, M
    [J]. NATURE MEDICINE, 2005, 11 (12) : 1330 - 1338