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Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis

BACKGROUND: More than half of non-small cell lung cancer (NSCLC) patients present with metastatic disease at initial diagnosis with an estimated five-year survival rate of ~5%. Despite advances in understanding primary lung cancer oncogenesis metastatic disease remains poorly characterized. Recent s...

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Autores principales: Dang, Ha X., White, Nicole M., Rozycki, Emily B., Felsheim, Brooke M., Watson, Mark A., Govindan, Ramaswamy, Luo, Jingqin, Maher, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062942/
https://www.ncbi.nlm.nih.gov/pubmed/32181394
http://dx.doi.org/10.1016/j.heliyon.2020.e03521
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author Dang, Ha X.
White, Nicole M.
Rozycki, Emily B.
Felsheim, Brooke M.
Watson, Mark A.
Govindan, Ramaswamy
Luo, Jingqin
Maher, Christopher A.
author_facet Dang, Ha X.
White, Nicole M.
Rozycki, Emily B.
Felsheim, Brooke M.
Watson, Mark A.
Govindan, Ramaswamy
Luo, Jingqin
Maher, Christopher A.
author_sort Dang, Ha X.
collection PubMed
description BACKGROUND: More than half of non-small cell lung cancer (NSCLC) patients present with metastatic disease at initial diagnosis with an estimated five-year survival rate of ~5%. Despite advances in understanding primary lung cancer oncogenesis metastatic disease remains poorly characterized. Recent studies demonstrate important roles of long non-coding RNAs (lncRNAs) in tumor physiology and as prognostic markers. Therefore, we present the first transcriptome analysis to identify lncRNAs altered in metastatic lung adenocarcinoma leading to the discovery and characterization of the lncRNA LCAL62 as a prognostic biomarker. PATIENTS AND METHODS: RNA-Seq, microarray, nanoString expression, and clinical data from 1,116 LUAD patients across six independent cohorts and 83 LUAD cell lines were used to discover and evaluate the survival association of metastasis associated lncRNAs. Coexpression and gene set enrichment analyses were used to establish gene regulatory networks and implicate metastasis associated lncRNAs in specific biological processes. RESULTS: Our integrative analysis discovered LCAL62 as the most down-regulated lncRNA in metastasis. Further low LCAL62 expression promoted aggressive phenotypes and regulated genes associated with metastasis (such as metastasis repressor FOXA2). Low LCAL62 expression corresponded to poor overall patient survival across five independent lung adenocarcinoma cohorts (n = 881) including our own nanoString validation cohort. CONCLUSION: We discovered that LCAL62 was down-regulated in lung cancer progression to promote invasive phenotypes, and lower expression was significantly associated with poor patient outcome and aggressive lung adenocarcinoma.
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spelling pubmed-70629422020-03-16 Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis Dang, Ha X. White, Nicole M. Rozycki, Emily B. Felsheim, Brooke M. Watson, Mark A. Govindan, Ramaswamy Luo, Jingqin Maher, Christopher A. Heliyon Article BACKGROUND: More than half of non-small cell lung cancer (NSCLC) patients present with metastatic disease at initial diagnosis with an estimated five-year survival rate of ~5%. Despite advances in understanding primary lung cancer oncogenesis metastatic disease remains poorly characterized. Recent studies demonstrate important roles of long non-coding RNAs (lncRNAs) in tumor physiology and as prognostic markers. Therefore, we present the first transcriptome analysis to identify lncRNAs altered in metastatic lung adenocarcinoma leading to the discovery and characterization of the lncRNA LCAL62 as a prognostic biomarker. PATIENTS AND METHODS: RNA-Seq, microarray, nanoString expression, and clinical data from 1,116 LUAD patients across six independent cohorts and 83 LUAD cell lines were used to discover and evaluate the survival association of metastasis associated lncRNAs. Coexpression and gene set enrichment analyses were used to establish gene regulatory networks and implicate metastasis associated lncRNAs in specific biological processes. RESULTS: Our integrative analysis discovered LCAL62 as the most down-regulated lncRNA in metastasis. Further low LCAL62 expression promoted aggressive phenotypes and regulated genes associated with metastasis (such as metastasis repressor FOXA2). Low LCAL62 expression corresponded to poor overall patient survival across five independent lung adenocarcinoma cohorts (n = 881) including our own nanoString validation cohort. CONCLUSION: We discovered that LCAL62 was down-regulated in lung cancer progression to promote invasive phenotypes, and lower expression was significantly associated with poor patient outcome and aggressive lung adenocarcinoma. Elsevier 2020-03-05 /pmc/articles/PMC7062942/ /pubmed/32181394 http://dx.doi.org/10.1016/j.heliyon.2020.e03521 Text en © 2020 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Dang, Ha X.
White, Nicole M.
Rozycki, Emily B.
Felsheim, Brooke M.
Watson, Mark A.
Govindan, Ramaswamy
Luo, Jingqin
Maher, Christopher A.
Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title_full Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title_fullStr Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title_full_unstemmed Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title_short Long non-coding RNA LCAL62 / LINC00261 is associated with lung adenocarcinoma prognosis
title_sort long non-coding rna lcal62 / linc00261 is associated with lung adenocarcinoma prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062942/
https://www.ncbi.nlm.nih.gov/pubmed/32181394
http://dx.doi.org/10.1016/j.heliyon.2020.e03521
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