Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer
<div><p>Breast cancer remains the world’s most prevalent cancer, responsible for around 685,000 deaths globally despite international research efforts and advances in clinical management. While estrogen receptor positive (ER+), progesterone receptor positive (PR+), and human epidermal gr...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2021
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513515305304064 |
|---|---|
| author | Hibah Shaath (5599658) |
| author2 | Ramesh Elango (7542068) Nehad M. Alajez (7397276) |
| author2_role | author author |
| author_facet | Hibah Shaath (5599658) Ramesh Elango (7542068) Nehad M. Alajez (7397276) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hibah Shaath (5599658) Ramesh Elango (7542068) Nehad M. Alajez (7397276) |
| dc.date.none.fl_str_mv | 2021-10-26T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/cancers13215350 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Molecular_Classification_of_Breast_Cancer_Utilizing_Long_Non-Coding_RNA_lncRNA_Transcriptomes_Identifies_Novel_Diagnostic_lncRNA_Panel_for_Triple-Negative_Breast_Cancer/25878052 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Oncology and carcinogenesis triple-negative breast cancer TNBC diagnosis long non-coding RNA lncRNA gene signature |
| dc.title.none.fl_str_mv | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Breast cancer remains the world’s most prevalent cancer, responsible for around 685,000 deaths globally despite international research efforts and advances in clinical management. While estrogen receptor positive (ER+), progesterone receptor positive (PR+), and human epidermal growth factor receptor positive (HER2+) subtypes are easily classified and can be targeted, there remains no direct diagnostic test for triple-negative breast cancer (TNBC), except for the lack of receptors expression. The identification of long non-coding RNAs (lncRNAs) and the roles they play in cancer progression has recently proven to be beneficial. In the current study, we utilize RNA sequencing data to identify lncRNA-based biomarkers associated with TNBC, ER+ subtypes, and normal breast tissue. The Marker Finder algorithm identified the lncRNA transcript panel most associated with each molecular subtype and the receiver operating characteristic (ROC) analysis was used to validate the diagnostic potential (area under the curve (AUC) of ≥8.0 and p value < 0.0001). Focusing on TNBC, findings from the discovery cohort were validated in an additional two cohorts, identifying 13 common lncRNA transcripts enriched in TNBC. Binary regression analysis identified a four lncRNA transcript signature (ENST00000425820.1, ENST00000448208.5, ENST00000521666.1, and ENST00000650510.1) with the highest diagnostic power for TNBC. The ENST00000671612.1 lncRNA transcript correlated with worse refractory free survival (RFS). Our data provides a step towards finding a novel diagnostic lncRNA-based panel for TNBC with potential therapeutic implications.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Cancers<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/cancers13215350" target="_blank">https://dx.doi.org/10.3390/cancers13215350</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ba549305fe0b2346afb3cfa5f83dfa9e |
| identifier_str_mv | 10.3390/cancers13215350 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25878052 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast CancerHibah Shaath (5599658)Ramesh Elango (7542068)Nehad M. Alajez (7397276)Biomedical and clinical sciencesOncology and carcinogenesistriple-negative breast cancerTNBCdiagnosislong non-coding RNAlncRNAgene signature<div><p>Breast cancer remains the world’s most prevalent cancer, responsible for around 685,000 deaths globally despite international research efforts and advances in clinical management. While estrogen receptor positive (ER+), progesterone receptor positive (PR+), and human epidermal growth factor receptor positive (HER2+) subtypes are easily classified and can be targeted, there remains no direct diagnostic test for triple-negative breast cancer (TNBC), except for the lack of receptors expression. The identification of long non-coding RNAs (lncRNAs) and the roles they play in cancer progression has recently proven to be beneficial. In the current study, we utilize RNA sequencing data to identify lncRNA-based biomarkers associated with TNBC, ER+ subtypes, and normal breast tissue. The Marker Finder algorithm identified the lncRNA transcript panel most associated with each molecular subtype and the receiver operating characteristic (ROC) analysis was used to validate the diagnostic potential (area under the curve (AUC) of ≥8.0 and p value < 0.0001). Focusing on TNBC, findings from the discovery cohort were validated in an additional two cohorts, identifying 13 common lncRNA transcripts enriched in TNBC. Binary regression analysis identified a four lncRNA transcript signature (ENST00000425820.1, ENST00000448208.5, ENST00000521666.1, and ENST00000650510.1) with the highest diagnostic power for TNBC. The ENST00000671612.1 lncRNA transcript correlated with worse refractory free survival (RFS). Our data provides a step towards finding a novel diagnostic lncRNA-based panel for TNBC with potential therapeutic implications.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Cancers<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/cancers13215350" target="_blank">https://dx.doi.org/10.3390/cancers13215350</a></p>2021-10-26T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/cancers13215350https://figshare.com/articles/journal_contribution/Molecular_Classification_of_Breast_Cancer_Utilizing_Long_Non-Coding_RNA_lncRNA_Transcriptomes_Identifies_Novel_Diagnostic_lncRNA_Panel_for_Triple-Negative_Breast_Cancer/25878052CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258780522021-10-26T03:00:00Z |
| spellingShingle | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer Hibah Shaath (5599658) Biomedical and clinical sciences Oncology and carcinogenesis triple-negative breast cancer TNBC diagnosis long non-coding RNA lncRNA gene signature |
| status_str | publishedVersion |
| title | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| title_full | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| title_fullStr | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| title_full_unstemmed | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| title_short | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| title_sort | Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer |
| topic | Biomedical and clinical sciences Oncology and carcinogenesis triple-negative breast cancer TNBC diagnosis long non-coding RNA lncRNA gene signature |