LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities

<div><p>Triple negative breast cancer (TNBC) represents a diverse group of cancers based on their gene expression profiles. While the current mRNA-based classification of TNBC has contributed to our understanding of the heterogeneity of this disease, whether such heterogeneity can be res...

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Main Author: Radhakrishnan Vishnubalaji (3563306) (author)
Other Authors: Ramesh Elango (7542068) (author), Nehad M. Alajez (7397276) (author)
Published: 2022
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author Radhakrishnan Vishnubalaji (3563306)
author2 Ramesh Elango (7542068)
Nehad M. Alajez (7397276)
author2_role author
author
author_facet Radhakrishnan Vishnubalaji (3563306)
Ramesh Elango (7542068)
Nehad M. Alajez (7397276)
author_role author
dc.creator.none.fl_str_mv Radhakrishnan Vishnubalaji (3563306)
Ramesh Elango (7542068)
Nehad M. Alajez (7397276)
dc.date.none.fl_str_mv 2022-06-21T03:00:00Z
dc.identifier.none.fl_str_mv 10.3390/ncrna8040044
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/LncRNA-Based_Classification_of_Triple_Negative_Breast_Cancer_Revealed_Inherent_Tumor_Heterogeneity_and_Vulnerabilities/25659078
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Biochemistry and cell biology
Genetics
lncRNA
triple negative breast cancer
classification
CRISPR
Cas9
dc.title.none.fl_str_mv LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Triple negative breast cancer (TNBC) represents a diverse group of cancers based on their gene expression profiles. While the current mRNA-based classification of TNBC has contributed to our understanding of the heterogeneity of this disease, whether such heterogeneity can be resolved employing a long noncoding RNA (lncRNA) transcriptome has not been established thus far. Herein, we used iterative clustering and guide-gene selection (ICGS) and uniform manifold approximation and projection (UMAP) dimensionality reduction analysis on a large cohort of TNBC transcriptomic data (TNBC = 360, normal = 88) and classified TNBC into four main clusters: LINC00511-enriched, LINC00393-enriched, FIRRE-enriched, and normal tissue-like. Delving into associated gene expression profiles revealed remarkable differences in canonical, casual, upstream, and functional categories among different lncRNA-derived TNBC clusters, suggesting functional consequences for altered lncRNA expression. Correlation and survival analysis comparing mRNA- and lncRNA-based clustering revealed similarities and differences between the two classification approaches. To provide insight into the potential role of the identified lncRNAs in TNBC biology, CRISPR-Cas9 mediated LINC00511 promoter deletion reduced colony formation and enhanced the sensitivity of TNBC cells to paclitaxel, suggesting a role for LINC00511 in conferring tumorigenicity and resistance to therapy. Our data revealed a novel lncRNA-based classification of TNBC and suggested their potential utilization as disease biomarkers and therapeutic targets.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Non-Coding RNA<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ncrna8040044" target="_blank">https://dx.doi.org/10.3390/ncrna8040044</a></p>
eu_rights_str_mv openAccess
id Manara2_beb37ee623d10eaf55d6b7a16cb483ce
identifier_str_mv 10.3390/ncrna8040044
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25659078
publishDate 2022
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and VulnerabilitiesRadhakrishnan Vishnubalaji (3563306)Ramesh Elango (7542068)Nehad M. Alajez (7397276)Biological sciencesBiochemistry and cell biologyGeneticslncRNAtriple negative breast cancerclassificationCRISPRCas9<div><p>Triple negative breast cancer (TNBC) represents a diverse group of cancers based on their gene expression profiles. While the current mRNA-based classification of TNBC has contributed to our understanding of the heterogeneity of this disease, whether such heterogeneity can be resolved employing a long noncoding RNA (lncRNA) transcriptome has not been established thus far. Herein, we used iterative clustering and guide-gene selection (ICGS) and uniform manifold approximation and projection (UMAP) dimensionality reduction analysis on a large cohort of TNBC transcriptomic data (TNBC = 360, normal = 88) and classified TNBC into four main clusters: LINC00511-enriched, LINC00393-enriched, FIRRE-enriched, and normal tissue-like. Delving into associated gene expression profiles revealed remarkable differences in canonical, casual, upstream, and functional categories among different lncRNA-derived TNBC clusters, suggesting functional consequences for altered lncRNA expression. Correlation and survival analysis comparing mRNA- and lncRNA-based clustering revealed similarities and differences between the two classification approaches. To provide insight into the potential role of the identified lncRNAs in TNBC biology, CRISPR-Cas9 mediated LINC00511 promoter deletion reduced colony formation and enhanced the sensitivity of TNBC cells to paclitaxel, suggesting a role for LINC00511 in conferring tumorigenicity and resistance to therapy. Our data revealed a novel lncRNA-based classification of TNBC and suggested their potential utilization as disease biomarkers and therapeutic targets.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Non-Coding RNA<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/ncrna8040044" target="_blank">https://dx.doi.org/10.3390/ncrna8040044</a></p>2022-06-21T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/ncrna8040044https://figshare.com/articles/journal_contribution/LncRNA-Based_Classification_of_Triple_Negative_Breast_Cancer_Revealed_Inherent_Tumor_Heterogeneity_and_Vulnerabilities/25659078CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256590782022-06-21T03:00:00Z
spellingShingle LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
Radhakrishnan Vishnubalaji (3563306)
Biological sciences
Biochemistry and cell biology
Genetics
lncRNA
triple negative breast cancer
classification
CRISPR
Cas9
status_str publishedVersion
title LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
title_full LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
title_fullStr LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
title_full_unstemmed LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
title_short LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
title_sort LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
topic Biological sciences
Biochemistry and cell biology
Genetics
lncRNA
triple negative breast cancer
classification
CRISPR
Cas9