A Radiation-Derived Gene Expression Signature Predicts Clinical Outcome for Breast Cancer Patients

被引:10
|
作者
Piening, Brian D. [1 ,3 ]
Wang, Pei [1 ]
Subramanian, Aravind [2 ]
Paulovich, Amanda G. [1 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Seattle, WA 98104 USA
[2] MIT & Harvard, Broad Inst, Cambridge, MA USA
[3] Univ Washington, Mol & Cellular Biol Program, Seattle, WA 98195 USA
基金
美国国家卫生研究院;
关键词
DNA-DAMAGE RESPONSE; SINGLE-STEP METHOD; ADJUVANT THERAPY; RNA ISOLATION; SURVIVAL; PROGNOSIS; PROFILES; CLASSIFICATION; METASTASIS; CARCINOMAS;
D O I
10.1667/RR1223.1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Piening, B. D., Wang, P., Subramanian, A. and Paulovich, A. G. A Radiation-Derived Gene Expression Signature Predicts; Clinical Outcome for Breast Cancer Patients. Radiat. Res. 171, 141-154 (2009). Activation of the DNA damage response pathway is a hallmark for early tumorigenesis, while loss of pathway activity is associated with disease progression. Thus we hypothesized that a gene expression signature associated with the DNA damage response may serve as a prognostic signature for outcome in cancer patients. We identified ionizing radiation-responsive transcripts in human lymphoblast cells derived from 12 individuals and used this signature to screen a panel of cancer data sets for the ability to predict long-term survival of cancer patients. We demonstrate that gene sets induced or repressed by ionizing radiation can predict clinical outcome in two independent breast cancer data sets, and we compare the radiation signature to previously described gene expression-based outcome predictors. While genes repressed in response to radiation likely represent the well-characterized proliferation signature predictive of breast cancer outcome, genes induced by radiation likely encode additional information representing other deregulated biological properties of tumors such as checkpoint or apoptotic responses. (C) 2009 by Radiation Research Society
引用
收藏
页码:141 / 154
页数:14
相关论文
共 50 条
  • [31] Gene expression profiling and clinical outcome in breast cancer
    Bertucci, Francois
    Finetti, Pascal
    Cervera, Nathalie
    Maraninchi, Dominique
    Viens, Patrice
    Birnbaum, Daniel
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2006, 10 (04) : 429 - 443
  • [32] A novel oncogene mediated metabolic gene signature predicts breast cancer outcome.
    Aslan, Merve
    Hsu, En-Chi
    Marques, Fernando J. Garcia
    Bermudez, Abel
    Shen, Michelle
    Rice, Meghan A.
    Liu, Shiqin
    West, Robert
    Pitteri, Sharon J.
    Gyorffy, Balazs
    Stoyanova, Tanya
    CANCER RESEARCH, 2021, 81 (13)
  • [33] Identification of a robust gene signature that predicts breast cancer outcome in independent data sets
    Korkola, James E.
    Blaveri, Ekaterina
    DeVries, Sandy
    Moore, Dan H., II
    Hwang, Shelley
    Chen, Yunn-Yi
    Estep, Anne L. H.
    Chew, Karen L.
    Jensen, Ronald H.
    Waldman, Frederic M.
    BMC CANCER, 2007, 7
  • [34] Identification of a robust gene signature that predicts breast cancer outcome in independent data sets
    James E Korkola
    Ekaterina Blaveri
    Sandy DeVries
    Dan H Moore
    E Shelley Hwang
    Yunn-Yi Chen
    Anne LH Estep
    Karen L Chew
    Ronald H Jensen
    Frederic M Waldman
    BMC Cancer, 7
  • [35] A Five-Gene Expression Signature Predicts Clinical Outcome of Ovarian Serous Cystadenocarcinoma
    Liu, Li-Wei
    Zhang, Qiuhao
    Guo, Wenna
    Qian, Kun
    Wang, Qiang
    BIOMED RESEARCH INTERNATIONAL, 2016, 2016
  • [36] Gene expression signature predicts clinical outcome in relapsing-remitting multiple sclerosis
    Achiron, Anat
    Gurevich, Michael
    Snir, Yair
    Segal, Eran
    Mandel, Mathilda
    NEUROLOGY, 2007, 68 (12) : A313 - A313
  • [37] A four-gene expression-based signature predicts the clinical outcome of melanoma
    Sun, Liping
    Li, Ping
    Ren, He
    Liu, Gang
    Sun, Lining
    JOURNAL OF BUON, 2019, 24 (05): : 2161 - 2167
  • [38] A core matrisome gene signature predicts cancer outcome
    Arseniy E Yuzhalin
    Tomas Urbonas
    Michael A Silva
    Ruth J Muschel
    Alex N Gordon-Weeks
    British Journal of Cancer, 2018, 118 : 435 - 440
  • [39] A core matrisome gene signature predicts cancer outcome
    Yuzhalin, Arseniy E.
    Urbonas, Tomas
    Silva, Michael A.
    Muschel, Ruth J.
    Gordon-Weeks, Alex N.
    BRITISH JOURNAL OF CANCER, 2018, 118 (03) : 435 - 440
  • [40] Expression of Ecdysoneless in breast cancer progression predicts poor outcome in breast cancer patients
    Mirza, Sameer
    Zhao, Xiangshan
    Alshareeda, Alaa
    Zhang, Ying
    Gurumurthy, Channabasavaiah Basavaraju
    Beie, Aditya
    Kim, Jun Hyun
    Mohibi, Shakur
    Goswami, Monica
    Lele, Subodh
    West, William
    Qiu, Fang
    Ellis, Ian O.
    Green, Andrew R.
    Band, Hamid
    Band, Vimla
    CANCER RESEARCH, 2012, 72