Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas

Abstract Many DDB1-CUL4 associated factors (DCAFs) have been identified and serve as substrate receptors. Although the oncogenic role of CUL4A has been well established, specific DCAFs involved in cancer development remain largely unknown. Here we infer the potential impact of 19 well-defined DCAFs...

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Autores principales: Hong Yan, Lei Bi, Yunshan Wang, Xia Zhang, Zhibo Hou, Qian Wang, Antoine M. Snijders, Jian-Hua Mao
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/1060eacec2814faf85e71ae7e4b1949e
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spelling oai:doaj.org-article:1060eacec2814faf85e71ae7e4b1949e2021-12-02T12:31:45ZIntegrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas10.1038/s41598-017-00512-12045-2322https://doaj.org/article/1060eacec2814faf85e71ae7e4b1949e2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00512-1https://doaj.org/toc/2045-2322Abstract Many DDB1-CUL4 associated factors (DCAFs) have been identified and serve as substrate receptors. Although the oncogenic role of CUL4A has been well established, specific DCAFs involved in cancer development remain largely unknown. Here we infer the potential impact of 19 well-defined DCAFs in human lung adenocarcinomas (LuADCs) using integrative omics analyses, and discover that mRNA levels of DTL, DCAF4, 12 and 13 are consistently elevated whereas VBRBP is reduced in LuADCs compared to normal lung tissues. The transcriptional levels of DCAFs are significantly correlated with their gene copy number variations. SKIP2, DTL, DCAF6, 7, 8, 13 and 17 are frequently gained whereas VPRBP, PHIP, DCAF10, 12 and 15 are frequently lost. We find that only transcriptional level of DTL is robustly, significantly and negatively correlated with overall survival across independent datasets. Moreover, DTL-correlated genes are enriched in cell cycle and DNA repair pathways. We also identified that the levels of 25 proteins were significantly associated with DTL overexpression in LuADCs, which include significant decreases in protein level of the tumor supressor genes such as PDCD4, NKX2-1 and PRKAA1. Our results suggest that different CUL4-DCAF axis plays the distinct roles in LuADC development with possible relevance for therapeutic target development.Hong YanLei BiYunshan WangXia ZhangZhibo HouQian WangAntoine M. SnijdersJian-Hua MaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hong Yan
Lei Bi
Yunshan Wang
Xia Zhang
Zhibo Hou
Qian Wang
Antoine M. Snijders
Jian-Hua Mao
Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
description Abstract Many DDB1-CUL4 associated factors (DCAFs) have been identified and serve as substrate receptors. Although the oncogenic role of CUL4A has been well established, specific DCAFs involved in cancer development remain largely unknown. Here we infer the potential impact of 19 well-defined DCAFs in human lung adenocarcinomas (LuADCs) using integrative omics analyses, and discover that mRNA levels of DTL, DCAF4, 12 and 13 are consistently elevated whereas VBRBP is reduced in LuADCs compared to normal lung tissues. The transcriptional levels of DCAFs are significantly correlated with their gene copy number variations. SKIP2, DTL, DCAF6, 7, 8, 13 and 17 are frequently gained whereas VPRBP, PHIP, DCAF10, 12 and 15 are frequently lost. We find that only transcriptional level of DTL is robustly, significantly and negatively correlated with overall survival across independent datasets. Moreover, DTL-correlated genes are enriched in cell cycle and DNA repair pathways. We also identified that the levels of 25 proteins were significantly associated with DTL overexpression in LuADCs, which include significant decreases in protein level of the tumor supressor genes such as PDCD4, NKX2-1 and PRKAA1. Our results suggest that different CUL4-DCAF axis plays the distinct roles in LuADC development with possible relevance for therapeutic target development.
format article
author Hong Yan
Lei Bi
Yunshan Wang
Xia Zhang
Zhibo Hou
Qian Wang
Antoine M. Snijders
Jian-Hua Mao
author_facet Hong Yan
Lei Bi
Yunshan Wang
Xia Zhang
Zhibo Hou
Qian Wang
Antoine M. Snijders
Jian-Hua Mao
author_sort Hong Yan
title Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
title_short Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
title_full Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
title_fullStr Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
title_full_unstemmed Integrative analysis of multi-omics data reveals distinct impacts of DDB1-CUL4 associated factors in human lung adenocarcinomas
title_sort integrative analysis of multi-omics data reveals distinct impacts of ddb1-cul4 associated factors in human lung adenocarcinomas
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/1060eacec2814faf85e71ae7e4b1949e
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