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Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival
Long non-coding RNA’s (lncRNA) are RNA sequences that do not encode proteins and are greater than 200 nucleotides in length. They regulate complex cellular mechanisms and have been associated with prognosis in various types of cancer. We aimed to identify lncRNA sequences that are associated with hi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865736/ https://www.ncbi.nlm.nih.gov/pubmed/33499129 http://dx.doi.org/10.3390/ijms22031079 |
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author | Cardillo, Nicholas Russo, Douglas Newtson, Andreea Reyes, Henry Lyons, Yasmin Devor, Eric Bender, David Goodheart, Michael J. Gonzalez-Bosquet, Jesus |
author_facet | Cardillo, Nicholas Russo, Douglas Newtson, Andreea Reyes, Henry Lyons, Yasmin Devor, Eric Bender, David Goodheart, Michael J. Gonzalez-Bosquet, Jesus |
author_sort | Cardillo, Nicholas |
collection | PubMed |
description | Long non-coding RNA’s (lncRNA) are RNA sequences that do not encode proteins and are greater than 200 nucleotides in length. They regulate complex cellular mechanisms and have been associated with prognosis in various types of cancer. We aimed to identify lncRNA sequences that are associated with high grade serous ovarian cancer (HGSC) and assess their impact on overall survival. RNA was extracted from 112 HGSC patients and 12 normal fallopian tube samples from our Biobank tissue repository. RNA was sequenced and the Ultrafast and Comprehensive lncRNA detection and quantification pipeline (UClncR) was used for the identification of lncRNA sequences. Univariate logistic and multivariate lasso regression analyses identified lncRNA that was associated with HGSC. Univariate and multivariate Cox proportional hazard ratios were used to evaluate independent predictors of survival. 1943 of 16,325 investigated lncRNA’s were differentially expressed in HGSC as compared to controls (p < 0.001). Nine of these demonstrated association with cancer after multivariate lasso regression. Our multivariate analysis of survival identified four lncRNA’s associated with survival in HGSC. Three out of these four were found to be independently significant after accounting for all clinical covariates. Lastly, seven lncRNAs were independently associated with initial response to chemotherapy; four portended a worse response, while three were associated with improved response. More research is needed, but there is potential for these lncRNAs to be used as biomarkers of HGSC or predictors of treatment outcome in the future. |
format | Online Article Text |
id | pubmed-7865736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78657362021-02-07 Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival Cardillo, Nicholas Russo, Douglas Newtson, Andreea Reyes, Henry Lyons, Yasmin Devor, Eric Bender, David Goodheart, Michael J. Gonzalez-Bosquet, Jesus Int J Mol Sci Article Long non-coding RNA’s (lncRNA) are RNA sequences that do not encode proteins and are greater than 200 nucleotides in length. They regulate complex cellular mechanisms and have been associated with prognosis in various types of cancer. We aimed to identify lncRNA sequences that are associated with high grade serous ovarian cancer (HGSC) and assess their impact on overall survival. RNA was extracted from 112 HGSC patients and 12 normal fallopian tube samples from our Biobank tissue repository. RNA was sequenced and the Ultrafast and Comprehensive lncRNA detection and quantification pipeline (UClncR) was used for the identification of lncRNA sequences. Univariate logistic and multivariate lasso regression analyses identified lncRNA that was associated with HGSC. Univariate and multivariate Cox proportional hazard ratios were used to evaluate independent predictors of survival. 1943 of 16,325 investigated lncRNA’s were differentially expressed in HGSC as compared to controls (p < 0.001). Nine of these demonstrated association with cancer after multivariate lasso regression. Our multivariate analysis of survival identified four lncRNA’s associated with survival in HGSC. Three out of these four were found to be independently significant after accounting for all clinical covariates. Lastly, seven lncRNAs were independently associated with initial response to chemotherapy; four portended a worse response, while three were associated with improved response. More research is needed, but there is potential for these lncRNAs to be used as biomarkers of HGSC or predictors of treatment outcome in the future. MDPI 2021-01-22 /pmc/articles/PMC7865736/ /pubmed/33499129 http://dx.doi.org/10.3390/ijms22031079 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cardillo, Nicholas Russo, Douglas Newtson, Andreea Reyes, Henry Lyons, Yasmin Devor, Eric Bender, David Goodheart, Michael J. Gonzalez-Bosquet, Jesus Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title | Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title_full | Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title_fullStr | Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title_full_unstemmed | Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title_short | Identification of Novel lncRNAs in Ovarian Cancer and Their Impact on Overall Survival |
title_sort | identification of novel lncrnas in ovarian cancer and their impact on overall survival |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865736/ https://www.ncbi.nlm.nih.gov/pubmed/33499129 http://dx.doi.org/10.3390/ijms22031079 |
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