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Title: Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer

Abstract

Background: High mitotic activity is associated with the genesis and progression of many cancers. Small molecule inhibitors of mitotic apparatus proteins are now being developed and evaluated clinically as anticancer agents. With clinical trials of several of these experimental compounds underway, it is important to understand the molecular mechanisms that determine high mitotic activity, identify tumor subtypes that carry molecular aberrations that confer high mitotic activity, and to develop molecular markers that distinguish which tumors will be most responsive to mitotic apparatus inhibitors. Methods: We identified a coordinately regulated mitotic apparatus network by analyzing gene expression profiles for 53 malignant and non-malignant human breast cancer cell lines and two separate primary breast tumor datasets. We defined the mitotic network activity index (MNAI) as the sum of the transcriptional levels of the 54 coordinately regulated mitotic apparatus genes. The effect of those genes on cell growth was evaluated by small interfering RNA (siRNA). Results: High MNAI was enriched in basal-like breast tumors and was associated with reduced survival duration and preferential sensitivity to i nhibitors of the mitotic apparatus proteins, polo-like kinase, centromere associated protein E and aurora kinase designated GSK462364, GSK923295 and GSK1070916, respectively. Co-amplification of regions of chromosomes 8q24,more » 10p15-p12, 12p13, and 17q24-q25 was associated with the transcriptional upregulation of this network of 54 mitotic apparatus genes, and we identify transcription factors that localize to these regions and putatively regulate mitotic activity. Knockdown of the mitotic network by siRNA identified 22 genes that might be considered as additional therapeutic targets for this clinically relevant patient subgroup. Conclusions: We define a molecular signature which may guide therapeutic approaches for tumors with high mitotic network activity.« less

Authors:
 [1];  [2];  [3];  [1];  [1];  [1];  [4];  [1];  [2];  [5];  [6];  [1];  [1];  [1];  [1];  [7];  [7];  [7];  [8];  [7] more »;  [1];  [9];  [7];  [10];  [1] « less
  1. Oregon Health and Science Univ., Portland, OR (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Stanford Univ. of Medicine, CA (United States)
  4. Boston Univ. School of Medicine, MA (United States)
  5. Univ. of Cambridge (United Kingdom)
  6. Stanford Univ. School of Medicine, CA (United States)
  7. GlaxoSmithKline, Philadelphia, PA (United States)
  8. Cytokinetics, Inc., South San Francisco, CA (United States)
  9. BC Cancer Research Center, Vancouver, BC (Canada)
  10. Cambridge Inst. (United Kingdom). Cancer Research UK
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1379500
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Breast Cancer Research
Additional Journal Information:
Journal Volume: 18; Journal Issue: 1; Journal ID: ISSN 1465-542X
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES

Citation Formats

Hu, Zhi, Mao, Jian-Hua, Curtis, Christina, Huang, Ge, Gu, Shenda, Heiser, Laura, Lenburg, Marc E., Korkola, James E., Bayani, Nora, Samarajiwa, Shamith, Seoane, Jose A., Dane, Mark A., Esch, Amanda, Feiler, Heidi S., Wang, Nicholas J., Hardwicke, Mary Ann, Laquerre, Sylvie, Jackson, Jeff, W. Wood, Kenneth, Weber, Barbara, Spellman, Paul T., Aparicio, Samuel, Wooster, Richard, Caldas, Carlos, and Gray, Joe W.. Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer. United States: N. p., 2016. Web. doi:10.1186/s13058-016-0728-y.
Hu, Zhi, Mao, Jian-Hua, Curtis, Christina, Huang, Ge, Gu, Shenda, Heiser, Laura, Lenburg, Marc E., Korkola, James E., Bayani, Nora, Samarajiwa, Shamith, Seoane, Jose A., Dane, Mark A., Esch, Amanda, Feiler, Heidi S., Wang, Nicholas J., Hardwicke, Mary Ann, Laquerre, Sylvie, Jackson, Jeff, W. Wood, Kenneth, Weber, Barbara, Spellman, Paul T., Aparicio, Samuel, Wooster, Richard, Caldas, Carlos, & Gray, Joe W.. Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer. United States. doi:10.1186/s13058-016-0728-y.
Hu, Zhi, Mao, Jian-Hua, Curtis, Christina, Huang, Ge, Gu, Shenda, Heiser, Laura, Lenburg, Marc E., Korkola, James E., Bayani, Nora, Samarajiwa, Shamith, Seoane, Jose A., Dane, Mark A., Esch, Amanda, Feiler, Heidi S., Wang, Nicholas J., Hardwicke, Mary Ann, Laquerre, Sylvie, Jackson, Jeff, W. Wood, Kenneth, Weber, Barbara, Spellman, Paul T., Aparicio, Samuel, Wooster, Richard, Caldas, Carlos, and Gray, Joe W.. Fri . "Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer". United States. doi:10.1186/s13058-016-0728-y. https://www.osti.gov/servlets/purl/1379500.
@article{osti_1379500,
title = {Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer},
author = {Hu, Zhi and Mao, Jian-Hua and Curtis, Christina and Huang, Ge and Gu, Shenda and Heiser, Laura and Lenburg, Marc E. and Korkola, James E. and Bayani, Nora and Samarajiwa, Shamith and Seoane, Jose A. and Dane, Mark A. and Esch, Amanda and Feiler, Heidi S. and Wang, Nicholas J. and Hardwicke, Mary Ann and Laquerre, Sylvie and Jackson, Jeff and W. Wood, Kenneth and Weber, Barbara and Spellman, Paul T. and Aparicio, Samuel and Wooster, Richard and Caldas, Carlos and Gray, Joe W.},
abstractNote = {Background: High mitotic activity is associated with the genesis and progression of many cancers. Small molecule inhibitors of mitotic apparatus proteins are now being developed and evaluated clinically as anticancer agents. With clinical trials of several of these experimental compounds underway, it is important to understand the molecular mechanisms that determine high mitotic activity, identify tumor subtypes that carry molecular aberrations that confer high mitotic activity, and to develop molecular markers that distinguish which tumors will be most responsive to mitotic apparatus inhibitors. Methods: We identified a coordinately regulated mitotic apparatus network by analyzing gene expression profiles for 53 malignant and non-malignant human breast cancer cell lines and two separate primary breast tumor datasets. We defined the mitotic network activity index (MNAI) as the sum of the transcriptional levels of the 54 coordinately regulated mitotic apparatus genes. The effect of those genes on cell growth was evaluated by small interfering RNA (siRNA). Results: High MNAI was enriched in basal-like breast tumors and was associated with reduced survival duration and preferential sensitivity to i nhibitors of the mitotic apparatus proteins, polo-like kinase, centromere associated protein E and aurora kinase designated GSK462364, GSK923295 and GSK1070916, respectively. Co-amplification of regions of chromosomes 8q24, 10p15-p12, 12p13, and 17q24-q25 was associated with the transcriptional upregulation of this network of 54 mitotic apparatus genes, and we identify transcription factors that localize to these regions and putatively regulate mitotic activity. Knockdown of the mitotic network by siRNA identified 22 genes that might be considered as additional therapeutic targets for this clinically relevant patient subgroup. Conclusions: We define a molecular signature which may guide therapeutic approaches for tumors with high mitotic network activity.},
doi = {10.1186/s13058-016-0728-y},
journal = {Breast Cancer Research},
number = 1,
volume = 18,
place = {United States},
year = {Fri Jul 01 00:00:00 EDT 2016},
month = {Fri Jul 01 00:00:00 EDT 2016}
}

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