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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer

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Author(s):
Pavanelli, Ana Carolina [1, 2] ; Mangone, Flavia Rotea [1, 2] ; Barros, Luciana R. C. [1, 2] ; Machado-Rugolo, Juliana [3, 4] ; Capelozzi, Vera L. [3] ; Nagai, Maria A. [1, 2]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Fac Med, Dept Radiol & Oncol, Discipline Oncol, BR-01246903 Sao Paulo - Brazil
[2] Canc Inst Sao Paulo, Ctr Translat Res Oncol, BR-01246903 Sao Paulo - Brazil
[3] Univ Sao Paulo, Dept Pathol, Med Sch USP, BR-01246903 Sao Paulo - Brazil
[4] Sao Paulo State Univ UNESP, Clin Hosp HCFMB, Hlth Technol Assessment Ctr NATS, Med Sch, BR-01246903 Botucatu, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: GENES; v. 12, n. 7 JUL 2021.
Web of Science Citations: 0
Abstract

Abnormal long non-coding RNAs (lncRNAs) expression has been documented to have oncogene or tumor suppressor functions in the development and progression of cancer, emerging as promising independent biomarkers for molecular cancer stratification and patients' prognosis. Examining the relationship between lncRNAs and the survival rates in malignancies creates new scenarios for precision medicine and targeted therapy. Breast cancer (BRCA) is a heterogeneous malignancy. Despite advances in its molecular classification, there are still gaps to explain in its multifaceted presentations and a substantial lack of biomarkers that can better predict patients' prognosis in response to different therapeutic strategies. Here, we performed a re-analysis of gene expression data generated using cDNA microarrays in a previous study of our group, aiming to identify differentially expressed lncRNAs (DELncRNAs) with a potential predictive value for response to treatment with taxanes in breast cancer patients. Results revealed 157 DELncRNAs (90 up- and 67 down-regulated). We validated these new biomarkers as having prognostic and predictive value for breast cancer using in silico analysis in public databases. Data from TCGA showed that compared to normal tissue, MIAT was up-regulated, while KCNQ1OT1, LOC100270804, and FLJ10038 were down-regulated in breast tumor tissues. KCNQ1OT1, LOC100270804, and FLJ10038 median levels were found to be significantly higher in the luminal subtype. The ROC plotter platform results showed that reduced expression of these three DElncRNAs was associated with breast cancer patients who did not respond to taxane treatment. Kaplan-Meier survival analysis revealed that a lower expression of the selected lncRNAs was significantly associated with worse relapse-free survival (RFS) in breast cancer patients. Further validation of the expression of these DELncRNAs might be helpful to better tailor breast cancer prognosis and treatment. (AU)

FAPESP's process: 13/07035-4 - Evaluation of the functional role of intracellular and extracellular expression of PAR-4 (prostate apoptosis response-4) in the tumorigenic process of the breast: implications for chemosensitivity and potential antitumor
Grantee:Maria Aparecida Nagai
Support Opportunities: Regular Research Grants