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Article

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

1
Discipline of Oncology, Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil
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Center for Translational Research in Oncology, Cancer Institute of São Paulo, São Paulo 01246-903, Brazil
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Department of Pathology, University of São Paulo Medical School (USP), São Paulo 01246-903, Brazil
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Health Technology Assessment Center (NATS), Clinical Hospital (HCFMB), Medical School of São Paulo State University (UNESP), Botucatu, São Paulo 01246-903, Brazil
*
Author to whom correspondence should be addressed.
Academic Editors: Mario Acunzo and Giovanni Nigita
Genes 2021, 12(7), 996; https://doi.org/10.3390/genes12070996
Received: 18 May 2021 / Revised: 11 June 2021 / Accepted: 23 June 2021 / Published: 29 June 2021
(This article belongs to the Special Issue Epitranscriptomics and Non-coding RNAs in Cancer)
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. View Full-Text
Keywords: breast cancer; lncRNAs; prognosis; docetaxel; biomarkers breast cancer; lncRNAs; prognosis; docetaxel; biomarkers
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MDPI and ACS Style

Pavanelli, A.C.; Mangone, F.R.; Barros, L.R.C.; Machado-Rugolo, J.; Capelozzi, V.L.; Nagai, M.A. Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer. Genes 2021, 12, 996. https://doi.org/10.3390/genes12070996

AMA Style

Pavanelli AC, Mangone FR, Barros LRC, Machado-Rugolo J, Capelozzi VL, Nagai MA. Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer. Genes. 2021; 12(7):996. https://doi.org/10.3390/genes12070996

Chicago/Turabian Style

Pavanelli, Ana C., Flavia R. Mangone, Luciana R.C. Barros, Juliana Machado-Rugolo, Vera L. Capelozzi, and Maria A. Nagai. 2021. "Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer" Genes 12, no. 7: 996. https://doi.org/10.3390/genes12070996

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