Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer

被引:0
|
作者
Rossanna C. Pezo
Tom W. Chen
Hal K. Berman
Anna M. Mulligan
Albiruni A. Razak
Lillian L. Siu
David W. Cescon
Eitan Amir
Christine Elser
David G. Warr
Srikala S. Sridhar
Celeste Yu
Lisa Wang
Tracy L. Stockley
Suzanne Kamel-Reid
Philippe L. Bedard
机构
[1] Princess Margaret Cancer Centre,Division of Medical Oncology and Hematology
[2] University of Toronto,Department of Medicine
[3] National Taiwan University Hospital,Department of Oncology
[4] University Health Network,Laboratory Medicine Program
[5] University of Toronto,Department of Laboratory Medicine and Pathobiology
[6] Princess Margaret Cancer Centre,Cancer Genomics Program
[7] Princess Margaret Cancer Centre,Department of Biostatistics
[8] University of Toronto,Department of Medical Biophysics
[9] Sunnybrook Odette Cancer Centre,Division of Medical Oncology and Hematology
来源
关键词
Molecular profiling; Metastatic breast cancer; Targeted therapies; mutation;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:159 / 168
页数:9
相关论文
共 50 条
  • [41] Partition decoupling for multi-gene analysis of gene expression profiling data
    Rosemary Braun
    Gregory Leibon
    Scott Pauls
    Daniel Rockmore
    BMC Bioinformatics, 12
  • [42] Partition decoupling for multi-gene analysis of gene expression profiling data
    Braun, Rosemary
    Leibon, Gregory
    Pauls, Scott
    Rockmore, Daniel
    BMC BIOINFORMATICS, 2011, 12
  • [43] Clinical Outcomes of Metastatic Breast Cancer: Comparison between Initially Metastatic Breast Cancer (IMBC) and Recurrence Metastatic Breast Cancer (RBC)
    Miwa, Y.
    Chikako, S.
    Yukako, M.
    Junko, K.
    Kyouko, Y.
    Kimihito, F.
    Shogo, N.
    Yasuhiro, F.
    Fukutomi, T.
    CANCER RESEARCH, 2009, 69 (24) : 664S - 664S
  • [44] Validation of Multi-Gene Assay for Detecting Clinical Cancer Patient Gene Mutation Profile
    Ravi, R. Kanchi
    Panjikaran, M.
    Wang, T. K.
    Mitchell, I. K.
    Xia, Y. K.
    Tseng, R. K.
    Papoutsis, A. K.
    Gadient, S. K.
    Kines, J. K.
    Nahas, S. K.
    Scott, C. K.
    Sims, G.
    Falk, J.
    Dabbas, B.
    Graber, A.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2015, 17 (06): : 849 - 849
  • [45] Multi-gene signature of microcalcification and risk prediction among Taiwanese breast cancer
    Hsin-Tien Tsai
    Ching-Shui Huang
    Chao-Chiang Tu
    Chih-Yi Liu
    Chi-Jung Huang
    Yuan-Soon Ho
    Shih-Hsin Tu
    Ling-Ming Tseng
    Chi-Cheng Huang
    Scientific Reports, 10
  • [46] Increased access to TP53 analysis through breast cancer multi-gene panels: clinical considerations
    Azzollini, Jacopo
    Mariani, Milena
    Peissel, Bernard
    Manoukian, Siranoush
    FAMILIAL CANCER, 2018, 17 (03) : 317 - 319
  • [47] Evaluation of the effect of formalin fixation time on multi-gene assays for breast cancer
    Saito, Yuria
    Matsushima, Tomoko
    Akai, Yasumasa
    Okumura, Asami
    Hatanaka, Kanako C.
    Yamashita, Hiroko
    Hatanaka, Yutaka
    Matsuno, Yoshihiro
    CANCER SCIENCE, 2018, 109 : 1136 - 1136
  • [48] Development and validation of multi-gene prognostic assay for ER plus breast cancer
    Paik, S
    BIOMEDICINE & PHARMACOTHERAPY, 2005, 59 : S394 - S394
  • [49] Hereditary risks of male breast cancer in a multi-gene panel testing cohort
    Chao, Elizabeth C.
    Pritzlaff, Mary
    Pia, Summerour
    McFarland, Rachel
    Li, Shuwei
    Dolinsky, Jill
    Goldgar, David
    Shimelis, Hermela
    Couch, Fergus
    Holly, LaDuca
    CANCER RESEARCH, 2017, 77
  • [50] Development of an obesity-related multi-gene prognostic model incorporating clinical characteristics in luminal breast cancer
    Zhang, Hengjun
    Ma, Shuai
    Wang, Yusong
    Chen, Xiuyun
    Li, Yumeng
    Wang, Mozhi
    Xu, Yingying
    ISCIENCE, 2024, 27 (03)