Literature DB >> 20959472

Prognostic and therapeutic implications of distinct kinase expression patterns in different subtypes of breast cancer.

Giampaolo Bianchini1, Takayuki Iwamoto, Yuan Qi, Charles Coutant, Christine Y Shiang, Bailang Wang, Libero Santarpia, Vicente Valero, Gabriel N Hortobagyi, W Fraser Symmans, Luca Gianni, Lajos Pusztai.   

Abstract

Different kinases are expressed in different clinical subsets of breast cancer. In this study, we assessed kinase expression patterns in different clinical subtypes of breast cancer, evaluated the prognostic and predictive values of kinase metagenes, and investigated their functions in vitro. Four hundred twenty-eight protein kinases in gene expression data were examined from 684 cases of breast cancer and 51 breast cancer cell lines to identify kinase expression patterns. We tested the prognostic value of kinase metagenes in 684 node-negative patients who received no adjuvant therapy and the predictive value in 233 patients who received uniform neoadjuvant chemotherapy. Twelve kinases were overexpressed in estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative, 7 in HER2(+), and 28 in ER(-)/HER2(-) cancers, respectively. We examined the functional role of 22 kinases overexpressed in ER(-)/HER2(-) cancers using siRNA. Downregulation of these kinases caused significant subtype-specific inhibition of cell growth in vitro. Two robust kinase clusters, including an immune kinase cluster and a mitosis kinase cluster, were present in all clinical subgroups. High mitosis kinase score was associated with worse prognosis but higher pathologic complete response (pCR) in ER(+)/HER2(-) cancers, but not in ER(-)/HER2(-) or HER2(+) cancers, in univariate and multivariate analyses including other genomic predictors (MammaPrint, genomic grade index, and the 76-gene signature). Conversely, higher immune kinase score was associated with better survival in ER(+)/HER2(-) and HER2(+) tumors and also predicted higher probability of pCR in HER2(+) cancers. Taken together, our results indicate that kinases regulating mitosis and immune functions convey distinct prognostic information that varies by clinical subtype. ©2010 AACR.

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Year:  2010        PMID: 20959472     DOI: 10.1158/0008-5472.CAN-10-1039

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  20 in total

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Journal:  Mol Oncol       Date:  2014-05-04       Impact factor: 6.603

2.  Interactions between the tumor and the blood systemic response of breast cancer patients.

Authors:  Vanessa Dumeaux; Bjørn Fjukstad; Hans E Fjosne; Jan-Ole Frantzen; Marit Muri Holmen; Enno Rodegerdts; Ellen Schlichting; Anne-Lise Børresen-Dale; Lars Ailo Bongo; Eiliv Lund; Michael Hallett
Journal:  PLoS Comput Biol       Date:  2017-09-28       Impact factor: 4.475

3.  A personalized committee classification approach to improving prediction of breast cancer metastasis.

Authors:  Md Jamiul Jahid; Tim H Huang; Jianhua Ruan
Journal:  Bioinformatics       Date:  2014-03-10       Impact factor: 6.937

4.  DNA repair gene patterns as prognostic and predictive factors in molecular breast cancer subtypes.

Authors:  Libero Santarpia; Takayuki Iwamoto; Angelo Di Leo; Naoki Hayashi; Giulia Bottai; Martha Stampfer; Fabrice André; Nicholas C Turner; W Fraser Symmans; Gabriel N Hortobágyi; Lajos Pusztai; Giampaolo Bianchini
Journal:  Oncologist       Date:  2013-09-26

5.  Identification and validation of a novel 16-gene prognostic signature for patients with breast cancer.

Authors:  Zhenhua Zhong; Wenqiang Jiang; Jing Zhang; Zhanwen Li; Fengfeng Fan
Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

6.  TP53 mutation-correlated genes predict the risk of tumor relapse and identify MPS1 as a potential therapeutic kinase in TP53-mutated breast cancers.

Authors:  Balázs Győrffy; Giulia Bottai; Jacqueline Lehmann-Che; György Kéri; László Orfi; Takayuki Iwamoto; Christine Desmedt; Giampaolo Bianchini; Nicholas C Turner; Hugues de Thè; Fabrice André; Christos Sotiriou; Gabriel N Hortobagyi; Angelo Di Leo; Lajos Pusztai; Libero Santarpia
Journal:  Mol Oncol       Date:  2014-01-05       Impact factor: 6.603

7.  Characterization of DNA variants in the human kinome in breast cancer.

Authors:  Divyansh Agarwal; Yuan Qi; Tingting Jiang; Xiuping Liu; Weiwei Shi; Vikram B Wali; Benjamin Turk; Jeffrey S Ross; W Fraser Symmans; Lajos Pusztai; Christos Hatzis
Journal:  Sci Rep       Date:  2015-09-30       Impact factor: 4.379

8.  Development of an orally-administrative MELK-targeting inhibitor that suppresses the growth of various types of human cancer.

Authors:  Suyoun Chung; Hanae Suzuki; Takashi Miyamoto; Naofumi Takamatsu; Ayako Tatsuguchi; Koji Ueda; Kyoko Kijima; Yusuke Nakamura; Yo Matsuo
Journal:  Oncotarget       Date:  2012-12

9.  Proliferation and estrogen signaling can distinguish patients at risk for early versus late relapse among estrogen receptor positive breast cancers.

Authors:  Giampaolo Bianchini; Lajos Pusztai; Thomas Karn; Takayuki Iwamoto; Achim Rody; Catherine Kelly; Volkmar Müller; Schmidt Schmidt; Yuan Qi; Uwe Holtrich; Sven Becker; Libero Santarpia; Angelica Fasolo; Gianluca Del Conte; Milvia Zambetti; Christos Sotiriou; Benjamin Haibe-Kains; W Fraser Symmans; Luca Gianni
Journal:  Breast Cancer Res       Date:  2013       Impact factor: 6.466

10.  Inhibition of the PI3K/AKT pathway potentiates cytotoxicity of EGFR kinase inhibitors in triple-negative breast cancer cells.

Authors:  Yong Weon Yi; Wooyoung Hong; Hyo Jin Kang; Hee Jeong Kim; Wenjing Zhao; Antai Wang; Yeon-Sun Seong; Insoo Bae
Journal:  J Cell Mol Med       Date:  2013-04-20       Impact factor: 5.310

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