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A panel of eight autophagy-related long non-coding RNAs is a good predictive parameter for clear cell renal cell carcinoma
Clear-cell renal cell carcinoma (ccRCC) carries a variable prognosis. Prognostic biomarkers can stratify patients according to risk, and can provide crucial information for clinical decision-making. We screened for an autophagy-related long non-coding lncRNA (lncRNA) signature to improve postoperati...
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Published in: | Genomics (San Diego, Calif.) Calif.), 2021-03, Vol.113 (2), p.740-754 |
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container_title | Genomics (San Diego, Calif.) |
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creator | Gui, Cheng-Peng Cao, Jia-Zheng Tan, Lei Huang, Yong Tang, Yi-Ming Li, Peng-Ju Chen, Yu-Hang Lu, Jun Yao, Hao-Hua Chen, Zhen-Hua Pan, Yi-Hui Ye, Yun-Lin Qin, Zi-Ke Chen, Wei Wei, Jin-Huan Luo, Jun-Hang |
description | Clear-cell renal cell carcinoma (ccRCC) carries a variable prognosis. Prognostic biomarkers can stratify patients according to risk, and can provide crucial information for clinical decision-making. We screened for an autophagy-related long non-coding lncRNA (lncRNA) signature to improve postoperative risk stratification in The Cancer Genome Atlas (TCGA) database. We confirmed this model in ICGC and SYSU cohorts as a significant and independent prognostic signature. Western blotting, autophagic-flux assay and transmission electron microscopy were used to verify that regulation of expression of 8 lncRNAs related to autophagy affected changes in autophagic flow in vitro. Our data suggest that 8-lncRNA signature related to autophagy is a promising prognostic tool in predicting the survival of patients with ccRCC. Combination of this signature with clinical and pathologic parameters could aid accurate risk assessment to guide clinical management, and this 8-lncRNAs signature related to autophagy may serve as a therapeutic target. |
doi_str_mv | 10.1016/j.ygeno.2021.01.016 |
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Prognostic biomarkers can stratify patients according to risk, and can provide crucial information for clinical decision-making. We screened for an autophagy-related long non-coding lncRNA (lncRNA) signature to improve postoperative risk stratification in The Cancer Genome Atlas (TCGA) database. We confirmed this model in ICGC and SYSU cohorts as a significant and independent prognostic signature. Western blotting, autophagic-flux assay and transmission electron microscopy were used to verify that regulation of expression of 8 lncRNAs related to autophagy affected changes in autophagic flow in vitro. Our data suggest that 8-lncRNA signature related to autophagy is a promising prognostic tool in predicting the survival of patients with ccRCC. Combination of this signature with clinical and pathologic parameters could aid accurate risk assessment to guide clinical management, and this 8-lncRNAs signature related to autophagy may serve as a therapeutic target.</description><identifier>ISSN: 0888-7543</identifier><identifier>EISSN: 1089-8646</identifier><identifier>DOI: 10.1016/j.ygeno.2021.01.016</identifier><identifier>PMID: 33516849</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Autophagic flux ; Autophagy ; Autophagy - genetics ; biomarkers ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Carcinoma, Renal Cell - genetics ; Carcinoma, Renal Cell - metabolism ; Carcinoma, Renal Cell - pathology ; decision making ; genome ; genomics ; Humans ; Kidney Neoplasms - genetics ; Kidney Neoplasms - metabolism ; Kidney Neoplasms - pathology ; Long non-coding RNA ; prognosis ; Prognostic signature ; renal cell carcinoma ; Renal clear cell carcinoma ; risk ; risk assessment ; RNA, Long Noncoding - genetics ; RNA, Long Noncoding - metabolism ; TEM ; therapeutics ; transmission electron microscopy ; Western blot</subject><ispartof>Genomics (San Diego, Calif.), 2021-03, Vol.113 (2), p.740-754</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-ee7930be311f00e61591fcffa262871441dcb6112fd868e3817a6a981e60d5ba3</citedby><cites>FETCH-LOGICAL-c437t-ee7930be311f00e61591fcffa262871441dcb6112fd868e3817a6a981e60d5ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33516849$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gui, Cheng-Peng</creatorcontrib><creatorcontrib>Cao, Jia-Zheng</creatorcontrib><creatorcontrib>Tan, Lei</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Tang, Yi-Ming</creatorcontrib><creatorcontrib>Li, Peng-Ju</creatorcontrib><creatorcontrib>Chen, Yu-Hang</creatorcontrib><creatorcontrib>Lu, Jun</creatorcontrib><creatorcontrib>Yao, Hao-Hua</creatorcontrib><creatorcontrib>Chen, Zhen-Hua</creatorcontrib><creatorcontrib>Pan, Yi-Hui</creatorcontrib><creatorcontrib>Ye, Yun-Lin</creatorcontrib><creatorcontrib>Qin, Zi-Ke</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Wei, Jin-Huan</creatorcontrib><creatorcontrib>Luo, Jun-Hang</creatorcontrib><title>A panel of eight autophagy-related long non-coding RNAs is a good predictive parameter for clear cell renal cell carcinoma</title><title>Genomics (San Diego, Calif.)</title><addtitle>Genomics</addtitle><description>Clear-cell renal cell carcinoma (ccRCC) carries a variable prognosis. Prognostic biomarkers can stratify patients according to risk, and can provide crucial information for clinical decision-making. We screened for an autophagy-related long non-coding lncRNA (lncRNA) signature to improve postoperative risk stratification in The Cancer Genome Atlas (TCGA) database. We confirmed this model in ICGC and SYSU cohorts as a significant and independent prognostic signature. Western blotting, autophagic-flux assay and transmission electron microscopy were used to verify that regulation of expression of 8 lncRNAs related to autophagy affected changes in autophagic flow in vitro. Our data suggest that 8-lncRNA signature related to autophagy is a promising prognostic tool in predicting the survival of patients with ccRCC. Combination of this signature with clinical and pathologic parameters could aid accurate risk assessment to guide clinical management, and this 8-lncRNAs signature related to autophagy may serve as a therapeutic target.</description><subject>Autophagic flux</subject><subject>Autophagy</subject><subject>Autophagy - genetics</subject><subject>biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Carcinoma, Renal Cell - genetics</subject><subject>Carcinoma, Renal Cell - metabolism</subject><subject>Carcinoma, Renal Cell - pathology</subject><subject>decision making</subject><subject>genome</subject><subject>genomics</subject><subject>Humans</subject><subject>Kidney Neoplasms - genetics</subject><subject>Kidney Neoplasms - metabolism</subject><subject>Kidney Neoplasms - pathology</subject><subject>Long non-coding RNA</subject><subject>prognosis</subject><subject>Prognostic signature</subject><subject>renal cell carcinoma</subject><subject>Renal clear cell carcinoma</subject><subject>risk</subject><subject>risk assessment</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Long Noncoding - metabolism</subject><subject>TEM</subject><subject>therapeutics</subject><subject>transmission electron microscopy</subject><subject>Western blot</subject><issn>0888-7543</issn><issn>1089-8646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkU1v1DAQhi1ERZfCL0BCPnLJ4rETxzlwWFW0IFUgVXC2vPY49SqJg52ttPx6HLZwBGk0M4dnPl9C3gDbAgP5_rA99TjFLWcctmw1-YxsgKmuUrKWz8mGKaWqtqnFJXmZ84Ex1gnFX5BLIRqQqu425OeOzmbCgUZPMfQPCzXHJc4Ppj9VCQezoKNDnHo6xamy0YWS3n_ZZRoyNbSP0dE5oQt2CY9YWiUz4oKJ-pioHdAUj8NAE05mOKfWJBumOJpX5MKbIePrp3hFvt98_Hb9qbr7evv5endX2Vq0S4XYdoLtUQB4xlBC04G33hsuuWqhrsHZvQTg3impUChojTSdApTMNXsjrsi7c985xR9HzIseQ15XKXfHY9a84TUXLSj-f7RWNUgorqDijNoUc07o9ZzCaNJJA9OrPvqgf-ujV300W02WqrdPA477Ed3fmj-CFODDGcDykceASWcbcLLlxQntol0M_xzwCx2gokE</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Gui, Cheng-Peng</creator><creator>Cao, Jia-Zheng</creator><creator>Tan, Lei</creator><creator>Huang, Yong</creator><creator>Tang, Yi-Ming</creator><creator>Li, Peng-Ju</creator><creator>Chen, Yu-Hang</creator><creator>Lu, Jun</creator><creator>Yao, Hao-Hua</creator><creator>Chen, Zhen-Hua</creator><creator>Pan, Yi-Hui</creator><creator>Ye, Yun-Lin</creator><creator>Qin, Zi-Ke</creator><creator>Chen, Wei</creator><creator>Wei, Jin-Huan</creator><creator>Luo, Jun-Hang</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>202103</creationdate><title>A panel of eight autophagy-related long non-coding RNAs is a good predictive parameter for clear cell renal cell carcinoma</title><author>Gui, Cheng-Peng ; Cao, Jia-Zheng ; Tan, Lei ; Huang, Yong ; Tang, Yi-Ming ; Li, Peng-Ju ; Chen, Yu-Hang ; Lu, Jun ; Yao, Hao-Hua ; Chen, Zhen-Hua ; Pan, Yi-Hui ; Ye, Yun-Lin ; Qin, Zi-Ke ; Chen, Wei ; Wei, Jin-Huan ; Luo, Jun-Hang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-ee7930be311f00e61591fcffa262871441dcb6112fd868e3817a6a981e60d5ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Autophagic flux</topic><topic>Autophagy</topic><topic>Autophagy - genetics</topic><topic>biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Carcinoma, Renal Cell - genetics</topic><topic>Carcinoma, Renal Cell - metabolism</topic><topic>Carcinoma, Renal Cell - pathology</topic><topic>decision making</topic><topic>genome</topic><topic>genomics</topic><topic>Humans</topic><topic>Kidney Neoplasms - genetics</topic><topic>Kidney Neoplasms - metabolism</topic><topic>Kidney Neoplasms - pathology</topic><topic>Long non-coding RNA</topic><topic>prognosis</topic><topic>Prognostic signature</topic><topic>renal cell carcinoma</topic><topic>Renal clear cell carcinoma</topic><topic>risk</topic><topic>risk assessment</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Long Noncoding - metabolism</topic><topic>TEM</topic><topic>therapeutics</topic><topic>transmission electron microscopy</topic><topic>Western blot</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gui, Cheng-Peng</creatorcontrib><creatorcontrib>Cao, Jia-Zheng</creatorcontrib><creatorcontrib>Tan, Lei</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Tang, Yi-Ming</creatorcontrib><creatorcontrib>Li, Peng-Ju</creatorcontrib><creatorcontrib>Chen, Yu-Hang</creatorcontrib><creatorcontrib>Lu, Jun</creatorcontrib><creatorcontrib>Yao, Hao-Hua</creatorcontrib><creatorcontrib>Chen, Zhen-Hua</creatorcontrib><creatorcontrib>Pan, Yi-Hui</creatorcontrib><creatorcontrib>Ye, Yun-Lin</creatorcontrib><creatorcontrib>Qin, Zi-Ke</creatorcontrib><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Wei, Jin-Huan</creatorcontrib><creatorcontrib>Luo, Jun-Hang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Genomics (San Diego, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gui, Cheng-Peng</au><au>Cao, Jia-Zheng</au><au>Tan, Lei</au><au>Huang, Yong</au><au>Tang, Yi-Ming</au><au>Li, Peng-Ju</au><au>Chen, Yu-Hang</au><au>Lu, Jun</au><au>Yao, Hao-Hua</au><au>Chen, Zhen-Hua</au><au>Pan, Yi-Hui</au><au>Ye, Yun-Lin</au><au>Qin, Zi-Ke</au><au>Chen, Wei</au><au>Wei, Jin-Huan</au><au>Luo, Jun-Hang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A panel of eight autophagy-related long non-coding RNAs is a good predictive parameter for clear cell renal cell carcinoma</atitle><jtitle>Genomics (San Diego, Calif.)</jtitle><addtitle>Genomics</addtitle><date>2021-03</date><risdate>2021</risdate><volume>113</volume><issue>2</issue><spage>740</spage><epage>754</epage><pages>740-754</pages><issn>0888-7543</issn><eissn>1089-8646</eissn><abstract>Clear-cell renal cell carcinoma (ccRCC) carries a variable prognosis. Prognostic biomarkers can stratify patients according to risk, and can provide crucial information for clinical decision-making. We screened for an autophagy-related long non-coding lncRNA (lncRNA) signature to improve postoperative risk stratification in The Cancer Genome Atlas (TCGA) database. We confirmed this model in ICGC and SYSU cohorts as a significant and independent prognostic signature. Western blotting, autophagic-flux assay and transmission electron microscopy were used to verify that regulation of expression of 8 lncRNAs related to autophagy affected changes in autophagic flow in vitro. Our data suggest that 8-lncRNA signature related to autophagy is a promising prognostic tool in predicting the survival of patients with ccRCC. Combination of this signature with clinical and pathologic parameters could aid accurate risk assessment to guide clinical management, and this 8-lncRNAs signature related to autophagy may serve as a therapeutic target.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33516849</pmid><doi>10.1016/j.ygeno.2021.01.016</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Autophagic flux Autophagy Autophagy - genetics biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Carcinoma, Renal Cell - genetics Carcinoma, Renal Cell - metabolism Carcinoma, Renal Cell - pathology decision making genome genomics Humans Kidney Neoplasms - genetics Kidney Neoplasms - metabolism Kidney Neoplasms - pathology Long non-coding RNA prognosis Prognostic signature renal cell carcinoma Renal clear cell carcinoma risk risk assessment RNA, Long Noncoding - genetics RNA, Long Noncoding - metabolism TEM therapeutics transmission electron microscopy Western blot |
title | A panel of eight autophagy-related long non-coding RNAs is a good predictive parameter for clear cell renal cell carcinoma |
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