Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis-Reference-Cited by-同舟云学术

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Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis

Published:2019-03-14 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Hsu Huan-Ming,Chu Chi-Ming,Chang Yu-Jia,Yu Jyh-Cherng,Chen Chien-Ting,Jian Chen-En,Lee Chia-Yi,Chiang Yueh-Tao,Chang Chi-Wen,Chang Yu-Tien

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-40826-w.pdf

Reference43 articles.

1. Woolston, C. Breast cancer. Nature 527, S101, https://doi.org/10.1038/527S101a (2015).

2. Chen, X. et al. Identification of breast cancer recurrence risk factors based on functional pathways in tumor and normal tissues. Oncotarget 8, 20679–20694, https://doi.org/10.18632/oncotarget.11557 (2017).

3. Colombo, P. E., Milanezi, F., Weigelt, B. & Reis-Filho, J. S. Microarrays in the 2010s: The contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction. Breast Cancer Res 13, 212, https://doi.org/10.1186/bcr2890 (2011).

4. Nannini, M. et al. Gene expression profiling in colorectal cancer using microarray technologies: results and perspectives. Cancer treatment reviews 35, 201–209, https://doi.org/10.1016/j.ctrv.2008.10.006 (2009).

5. Denkert, C., Pfitzner, B. M., Heppner, B. I. & Dietel, M. Molecular pathology for breast cancer: Importance of the gene expression profile. Der Pathologe 36, 145–153, https://doi.org/10.1007/s00292-015-0009-z (2015).

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