Low Trichorhinophalangeal Syndrome 1 Gene Transcript Levels in Basal-like Breast Cancer Associate with Mesenchymal-to-epithelial Transition

Yi Bao; Ling-juan Ruan; Juan-fen Mo

Your Location：

Home >

Browse articles >

Low Trichorhinophalangeal Syndrome 1 Gene Transcript Levels in Basal-like Breast Cancer Associate with Mesenchymal-to-epithelial Transition

Chinese Medical Sciences Journal Vol. 28, Issue 3, Pages: 129-134(2013)

Updated：2024-04-10

- Low Trichorhinophalangeal Syndrome 1 Gene Transcript Levels in Basal-like Breast Cancer Associate with Mesenchymal-to-epithelial Transition
- Affiliations：
  
  Key Laboratory, Jiaxing Second Hospital, Jiaxing University,Zhejiang,Jiaxing,China,314000
- Author bio：
- Funds：
- DOI：
  CLC：
- Published Online：30 September 2013，
  
  Published：2013
- Accepted：
Scan QR Code
Yi Bao, Ling-juan Ruan, Juan-fen Mo. Low Trichorhinophalangeal Syndrome 1 Gene Transcript Levels in Basal-like Breast Cancer Associate with Mesenchymal-to-epithelial Transition[J]. Chinese medical sciences journal, 2013, 28(3): 129-134.
DOI：

Yi Bao, Ling-juan Ruan, Juan-fen Mo. Low Trichorhinophalangeal Syndrome 1 Gene Transcript Levels in Basal-like Breast Cancer Associate with Mesenchymal-to-epithelial Transition[J]. Chinese medical sciences journal, 2013, 28(3): 129-134. DOI：

摘要

Methods The transcripts of TRPS-1 and its role in survival in breast cancer were analyzed using published microarray data sets—Netherlands Cancer Institute (NKI) cohort and Wang cohort.Results TRPS-1 expression was lower in basal-like breast cancer. The mRNA levels of TRPS-1 negatively correlated with Slug (Pearson correlation coefficient=-0.1366

P=0.0189 in NKI data set and Pearson correlation coefficient=-0.1571

P=0.0078 in Wang data set)

FOXC1 (Pearson correlation coefficient=-0.1211

P=0.0376 in NKI data set and Pearson correlation coefficient=-0.1709

P=0.0037 in Wang data set)

and CXCL1 (Pearson correlation coefficient=-0.1197

P=0.0399 in NKI data set and Pearson correlation coefficient=-0.3436

P<0.0001 in Wang data set)

but positively correlated with BRCA1 (Pearson correlation coefficient=0.1728

P=0.0029 in NKI data set and Pearson correlation coefficient=0.1805

P=0.0022 in Wang data set). Low TRPS-1 expression associated with poor overall survival (hazard ratio 1.79

95% CI of ratio 0.9894 to 3.238

P=0.054) and relapse-free survival (hazard ratio 1.913

95% CI of ratio 1.159 to 3.156

P<0.05). The low TRPS-1 mRNA levels predicted poor outcome in breast cancer patients by the 70-gene signature.ConclusionThe strong expression of TRPS-1 may serve as a good prognostic marker in breast cancer.

Abstract

P=0.0189 in NKI data set and Pearson correlation coefficient=-0.1571

P=0.0078 in Wang data set)

FOXC1 (Pearson correlation coefficient=-0.1211

P=0.0376 in NKI data set and Pearson correlation coefficient=-0.1709

P=0.0037 in Wang data set)

and CXCL1 (Pearson correlation coefficient=-0.1197

P=0.0399 in NKI data set and Pearson correlation coefficient=-0.3436

P<0.0001 in Wang data set)

but positively correlated with BRCA1 (Pearson correlation coefficient=0.1728

P=0.0029 in NKI data set and Pearson correlation coefficient=0.1805

P=0.0022 in Wang data set). Low TRPS-1 expression associated with poor overall survival (hazard ratio 1.79

95% CI of ratio 0.9894 to 3.238

P=0.054) and relapse-free survival (hazard ratio 1.913

95% CI of ratio 1.159 to 3.156

关键词

Keywords

references

Views

1915

Downloads

CSCD

Alert me when the article has been cited

Submit

Publicity Resources

ESTROGEN RECEPTOR-NEGATIVE BREAST CANCER CELLS TRANSFECTED WITH ESTROGEN RECEPTOR EXHIBIT DECREASED TUMOUR PROGRESSION AND SENSITIVITY TO GROWTH INHIBITION BY ESTROGEN

THE CORRELATIONS OF CLINICOPATHOLOGIC FEATURES, HORMONE RECEPTOR LEVEL WITH THE PROGNOSIS OF BREAST CANCER: REPORT OF 308 CASES IN ELDERLY WOMEN

CORRELATION BETWEEN SERUM HER-2 ONCOPROTEIN AND PATIENTS WITH BREAST CANCER

PREDICTION OF NON-SENTINEL LYMPH NODE METASTASES IN BREAST CANCER

KNOCKDOWN OF SURVIVIN EXPRESSION BY SMALL INTERFERING RNA SUPPRESSES PROLIFERATION OF TWO HUMAN CANCER CELL LINES

Related Author

Li Peng

Qiang Sun

Zhi-yong Liang

Yi-dong Zhou

Feng Mao and Jing-hong Guan

Bo Jin

Yan-ping Liu

Hai-jiang Wang

Related Institution

Zhang Jie,Shen Kunwei,Lamichhane Nirmal,Liu Guangyu,Wu Jiong,Shao Zhimin and Shen Zhenzhou Department of Breast Surgery,Cancer Hospital/Institute,Fu Dan University

Cancer Hospital/Institute

Fudan University

Department of Breast Surgery

⁰