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Objective To investigate trichorhinophalangeal syndrome 1 gene(TRPS-1)expression patterns in different subtypes of breast cancer and its correlations with other genes and survival using microarray data sets.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-1negatively 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 ratio1.159 to 3.156,P<0.05).The low TRPS-1 mRNA levels predicted poor outcome in breast cancer patients by the 70-gene signature.Conclusion The strong expression of TRPS-1 may serve as a good prognostic marker in breast cancer.
Objective To investigate the role of trichorhinophalangeal syndrome 1 gene (TRPS-1) expression patterns in different subtypes of breast cancer and its correlations with other genes and survival using microarray data sets. Methods The transcripts of TRPS-1 and its role in survival in breast cancer 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-1negatively correlated with Slug (Pearson correlation coefficient = 0.1366, 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 1.1559 to 3.156, P <0.05) .The low TRPS-1 mRNA levels were predicted poor outcome in breast cancer patients by the 70-gene signature. Conlusion The strong expression of TRPS-1 may serve as a good prognostic marker in breast cancer.