In silico analyses identify lncRNAs: WDFY3-AS2, BDNF-AS and AFAP1-AS1 as potential prognostic factors for patients with triple-negative breast tumors.

Daniel Rodrigues De Bastos,Maria A Nagai,Sushanta K Banerjee

doi:10.1371/journal.pone.0232284

Daniel Rodrigues De Bastos, Maria A Nagai + Show 1 more

Open Access

https://doi.org/10.1371/journal.pone.0232284

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Journal: PloS one	Publication Date: May 13, 2020
Citations: 19	License type: CC BY 4.0

Affiliation: Universidade de São Paulo

Abstract

BackgroundLong non-coding RNAs (lncRNAs) are characterized as having 200 nucleotides or more and not coding any protein, and several been identified as differentially expressed in several human malignancies, including breast cancer.MethodsHere, we evaluated lncRNAs differentially expressed in triple-negative breast cancer (TNBC) from a cDNA microarray data set obtained in a previous study from our group. Using in silico analyses in combination with a review of the current literature, we identify three lncRNAs as potential prognostic factors for TNBC patients.ResultsWe found that the expression of WDFY3-AS2, BDNF-AS, and AFAP1-AS1 was associated with poor survival in patients with TNBCs. WDFY3-AS2 and BDNF-AS are lncRNAs known to play an important role in tumor suppression of different types of cancer, while AFAP1-AS1 exerts oncogenic activity.ConclusionOur findings provided evidence that WDFY3-AS2, BDNF-AS, and AFAP1-AS1 may be potential prognostic factors in TNBC development.

Highlights

Breast cancer represents the second most common type of cancer worldwide and with high morbidity and mortality rates considering only females [1]
We found that the expression of WDFY3-AS2, brain-derived neurotrophic factor (BDNF)-AS, and AFAP1-AS1 was associated with poor survival in patients with triple-negative breast cancer (TNBC)
WDFY3-AS2 and BDNF-AS are Long non-coding RNAs (lncRNAs) known to play an important role in tumor suppression of different types of cancer, while AFAP1AS1 exerts oncogenic activity

Summary

Methods

We evaluated lncRNAs differentially expressed in triple-negative breast cancer (TNBC) from a cDNA microarray data set obtained in a previous study from our group. Using in silico analyses in combination with a review of the current literature, we identify three lncRNAs as potential prognostic factors for TNBC patients

Results

Conclusion

Introduction

Material and methods

Discussion