MALAT1 and BACH1 are prognostic biomarkers for triple-negative breast cancer

• Published in: Journal of cancer research and therapeutics Vol. 15; no. 7; pp. 1597 - 1602
• Main Authors: Ou, Xueqi, Gao, Guanfeng, Bazhabayi, Meiheban, Zhang, Kaiming, Liu, Feng, Xiao, Xiangsheng
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01.01.2019; Medknow Publications and Media Pvt. Ltd; Medknow Publications & Media Pvt. Ltd
• Subjects: Adult; Analysis; Basic-Leucine Zipper Transcription Factors - genetics; Basic-Leucine Zipper Transcription Factors - metabolism; Biological markers; Biomarkers, Tumor; Breast cancer; Cancer therapies; Care and treatment; Cell Line, Tumor; Chemotherapy; Female; Gene Expression; Humans; Immunohistochemistry; Kaplan-Meier Estimate; Lung cancer; Lymphatic system; Medical prognosis; Metabolism; Metastasis; Middle Aged; Neoplasm Staging; Ovarian cancer; Patients; Prognosis; RNA, Long Noncoding - genetics; RNA, Long Noncoding - metabolism; Studies; Survival analysis; Triple Negative Breast Neoplasms - diagnosis; Triple Negative Breast Neoplasms - genetics; Triple Negative Breast Neoplasms - metabolism; Triple Negative Breast Neoplasms - mortality; Tumors; China; triple-negative breast cancer; metastasis-associated lung adenocarcinoma transcript 1; prognosis; BTB and CNC homology 1
• ISSN: 0973-1482; 1998-4138; 1998-4138
• DOI: 10.4103/jcrt.JCRT_282_19

Aims: The purpose of this study was to investigate the potential correlation between metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and the transcription factor BTB and CNC homology 1 (BACH1) and their clinicopathological significance in triple-negative breast cancer (TNBC). Subjects and Methods: MALAT1 and BACH1 were detected by immunohistochemistry using TNBC tissue microarrays of 240 patients. The association between MALAT1 and BACH1 expression levels was statistically analyzed. Moreover, the prognostic roles as well as clinical and pathological significance of MALAT1 and BACH1 expression in TNBC were determined. Statistical Analysis Used: Two-tailed Pearson correlation was used to examine the correlation of BACH1 and MALA1 expression. Comparisons of clinicopathological variables between different BACH1 and MALA1 expression groups were performed using χ2 tests. Overall survival (OS) and disease-free survival (DFS) curves were plotted with the Kaplan-Meier method and the differences in OS and DFS between three groups were compared by the log-rank test. Multiple comparisons were performed using χ2 tests for subsequent individual group comparisons. Results: MALAT1 and BACH1 expression was significantly correlated with tumor-node-metastasis stage, distant metastasis, pathological stage, and survival outcomes of patients. Patients with high MALAT1 and BACH1 expression exhibited shorter overall survival and disease-free survival. Conclusions: These findings provide further insight into the expression pattern of MALAT1 and BACH1 in TNBC and suggest them as prognostic biomarkers for TNBC.