Literature DB >> 20198662

Quantitative proteomics study of breast cancer cell lines isolated from a single patient: discovery of TIMM17A as a marker for breast cancer.

Xiaoen Xu1, Meng Qiao, Yang Zhang, Yinghua Jiang, Ping Wei, Jun Yao, Bo Gu, Yaqi Wang, Jing Lu, Zhigang Wang, Zhaoqing Tang, Yihong Sun, Wenshu Wu, Qian Shi.   

Abstract

The proteins involved in breast cancer initiation and progression are still largely elusive. To gain insights into these processes, we conducted quantitative proteomic analyses with 21T series of breast cell lines, which include a normal, primary tumor and a metastatic tumor that were isolated from a single patient. Stable isotope labeling of amino acid in cell culture followed by LC-MS/MS analysis was performed and deregulated proteins were identified using statistical analysis. Gene ontology analysis revealed that proteins involved in metabolic processes were the most deregulated in both tumorigenesis and metastasis. Interaction network analysis indicated that ERBB2 signaling played a critical role in tumorigenesis. In addition to known markers such as ERBB2 and E-cadherin, novel markers, including BRP44L, MTHFD2 and TIMM17A, were found to be overexpressed in 21T breast cancer cells and verified in additional breast cell lines. mRNA expression analysis as well as immunohistochemistry analysis in breast cancer tissues indicated that expression level of TIMM17A was directly correlated with tumor progression, and survival analysis suggested that TIMM17A was a powerful prognosis factor in breast cancer. More interestingly, overexpression and siRNA knockdown experiments indicated an oncogenic activity of TIMM17A in breast cancer. Our study provides a list of potential novel markers for breast cancer tumorigenesis and metastasis using a unique cell model. Further studies on TIMM17A as well as other markers on the list may reveal mechanisms that result in more effective therapeutics for cancer treatment.

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Year:  2010        PMID: 20198662     DOI: 10.1002/pmic.200900380

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  28 in total

1.  Loss of TIM50 suppresses proliferation and induces apoptosis in breast cancer.

Authors:  Shui-Ping Gao; He-Fen Sun; Hong-Lin Jiang; Liang-Dong Li; Xin Hu; Xiao-En Xu; Wei Jin
Journal:  Tumour Biol       Date:  2015-08-20

2.  Proteomics of mouse BRCA1-deficient mammary tumors identifies DNA repair proteins with potential diagnostic and prognostic value in human breast cancer.

Authors:  Marc Warmoes; Janneke E Jaspers; Thang V Pham; Sander R Piersma; Gideon Oudgenoeg; Maarten P G Massink; Quinten Waisfisz; Sven Rottenberg; Epie Boven; Jos Jonkers; Connie R Jimenez
Journal:  Mol Cell Proteomics       Date:  2012-02-24       Impact factor: 5.911

3.  α-Linolenic and γ-linolenic acids exercise differential antitumor effects on HT-29 human colorectal cancer cells.

Authors:  María José González-Fernández; Ignacio Ortea; José Luis Guil-Guerrero
Journal:  Toxicol Res (Camb)       Date:  2020-07-27       Impact factor: 3.524

4.  Role of Tim17 Transmembrane Regions in Regulating the Architecture of Presequence Translocase and Mitochondrial DNA Stability.

Authors:  Srujan Kumar Matta; Gautam Pareek; Kondalarao Bankapalli; Anjaneya Oblesha; Patrick D'Silva
Journal:  Mol Cell Biol       Date:  2017-03-01       Impact factor: 4.272

5.  MicroRNA-9 inhibition of cell proliferation and identification of novel miR-9 targets by transcriptome profiling in breast cancer cells.

Authors:  S Duygu Selcuklu; Mark T A Donoghue; Kristina Rehmet; Matheus de Souza Gomes; Antoine Fort; Prasad Kovvuru; Mohan K Muniyappa; Michael J Kerin; Anton J Enright; Charles Spillane
Journal:  J Biol Chem       Date:  2012-07-02       Impact factor: 5.157

6.  A TIMM17A Regulatory Network Contributing to Breast Cancer.

Authors:  Jiajia Cai; Jianyun Chen; Ling Huang; Changxi Wang; Weiyun Zhang; Quan Zhou; Zhaohui Sun
Journal:  Front Genet       Date:  2021-08-05       Impact factor: 4.599

7.  Increased MTHFD2 expression is associated with poor prognosis in breast cancer.

Authors:  Feng Liu; Yang Liu; Chuan He; Li Tao; Xiaoguang He; Hongtao Song; Guoqiang Zhang
Journal:  Tumour Biol       Date:  2014-05-29

8.  Mitochondria "fuel" breast cancer metabolism: fifteen markers of mitochondrial biogenesis label epithelial cancer cells, but are excluded from adjacent stromal cells.

Authors:  Federica Sotgia; Diana Whitaker-Menezes; Ubaldo E Martinez-Outschoorn; Ahmed F Salem; Aristotelis Tsirigos; Rebecca Lamb; Sharon Sneddon; James Hulit; Anthony Howell; Michael P Lisanti
Journal:  Cell Cycle       Date:  2012-11-21       Impact factor: 4.534

Review 9.  The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

Authors:  Hui Wang; Tujin Shi; Wei-Jun Qian; Tao Liu; Jacob Kagan; Sudhir Srivastava; Richard D Smith; Karin D Rodland; David G Camp
Journal:  Expert Rev Proteomics       Date:  2015-12-19       Impact factor: 3.940

10.  Identification of potential biomarkers from microarray experiments using multiple criteria optimization.

Authors:  Matilde L Sánchez-Peña; Clara E Isaza; Jaileene Pérez-Morales; Cristina Rodríguez-Padilla; José M Castro; Mauricio Cabrera-Ríos
Journal:  Cancer Med       Date:  2013-02-27       Impact factor: 4.452

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