2021
DOI: 10.3389/fonc.2021.692170
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Unraveling Immune-Related lncRNAs in Breast Cancer Molecular Subtypes

Abstract: Breast cancer (BRCA) is the most leading cause of cancer worldwide. It is a heterogeneous disease with at least five molecular subtypes including luminal A, luminal B, basal-like, HER2-enriched, and normal-like. These five molecular subtypes are usually stratified according to their mRNA profile patterns; however, ncRNAs are increasingly being used for this purpose. Among the ncRNAs class, the long non-coding RNAs (lncRNAs) are molecules with more than 200 nucleotides with versatile regulatory roles; and high … Show more

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Cited by 36 publications
(32 citation statements)
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References 62 publications
(58 reference statements)
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“…Similarly, EBLN3P promotes the recovery of impaired spiral ganglion neurons by competitively binding miR-204-5p, regulating TMPRSS3 expression [78]. Despite showing a regulatory function in different cancer types [79,80], here we demonstrated a coding capacity of EBLN3P in hASC, which represents a possible dual-function of this transcript in stem cell biology, including a putative secreted smORF-derived microprotein.…”
Section: Discussionmentioning
confidence: 59%
“…Similarly, EBLN3P promotes the recovery of impaired spiral ganglion neurons by competitively binding miR-204-5p, regulating TMPRSS3 expression [78]. Despite showing a regulatory function in different cancer types [79,80], here we demonstrated a coding capacity of EBLN3P in hASC, which represents a possible dual-function of this transcript in stem cell biology, including a putative secreted smORF-derived microprotein.…”
Section: Discussionmentioning
confidence: 59%
“…EBLN3P is associated with immune response suppression and progression in the luminal B subtype, and MEG3, XXYLT1-AS2, and LINC02613 are associated with activation of immune response in luminal A, HER2-enriched, and normal-like subtypes, respectively. Further research is needed to better understand the role of lncRNAs as regulators of the immune response to provide new perspectives on diagnosis, prognosis, and therapeutic targets for the molecular subtypes of BRCA [49].…”
Section: Lncrna and Breast Cancermentioning
confidence: 99%
“…The current study aimed to identify gene signatures that could be used to classify COAD samples and normal colon tissues. Specifically, we established a feature selection model, SNR-PPFS, by combining the signal-to-ratio (SNR) ranking algorithm 17 , 18 with the predictive permutation feature selection (PPFS) algorithm, a Markov blanket (MB) based feature subset selection method. The PPFS algorithm considers features both individually and collectively in order to provide the best set of features.…”
Section: Introductionmentioning
confidence: 99%