Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy
Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify pr...
Gespeichert in:
| Veröffentlicht in: | Computers in biology and medicine 2022-09, Vol.148, p.105896-105896, Article 105896 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 105896 |
|---|---|
| container_issue | |
| container_start_page | 105896 |
| container_title | Computers in biology and medicine |
| container_volume | 148 |
| creator | Hu, Yueyang Tang, Chuanyu Zhu, Wen Ye, Hanjie Lin, Yuxing Wang, Ruixuan Zhou, Tianjun Wen, Sai Yang, Jian Fang, Chihua |
| description | Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify progression-related biomarkers. LASSO-Cox regression and random forest algorithms were used to construct the progression-related prognosis (PRP) score. Three chromosomal instability-associated genes (KIF20A, TOP2A, and TTK) have been identified as progression-related biomarkers. The robustness of the PRP scores were validated using four independent cohorts. Immune status was observed using the single-sample gene set enrichment analysis (ssGSEA). Comprehensive analysis showed that the patients with high PRP score had wider genomic alterations, more malignant phenotypes, and were in a state of immunosuppression. The diagnostic models constructed via logistic regression based on the three genes showed satisfactory performances in distinguishing HCC from cirrhotic tissues or dysplastic nodules. The nomogram combining PRP scores with clinical factors had a better performance in predicting prognosis than the tumor node metastasis classification (TNM) system. We further confirmed that KIF20A, TOP2A, and TTK were highly expressed in HCC tissues than in cirrhotic tissues. Downregulation of all three genes aggravated chromosomal instabilities in HCC and suppressed HCC cells viability both in vitro and in vivo. Overall, our study highlights the important roles of chromosomal instability-associated genes during the progression of HCC and their potential clinical diagnosis and prognostic value and provides promising new ideas for developing therapeutic strategies to improve the outcomes of HCC patients.
•Hepatocellular carcinoma is characterized by high heterogeneity and complex multistep progression process.•Chromosomal instability plays an important role in hepatocellular carcinoma progression.•The diagnostic models and nomogram based on chromosomal instability-associated genes have potential clinical value.•Chromosomal instability-associated genes are potential therapeutic targets of HCC. |
| doi_str_mv | 10.1016/j.compbiomed.2022.105896 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2693774611</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0010482522006424</els_id><sourcerecordid>2693774611</sourcerecordid><originalsourceid>FETCH-LOGICAL-c379t-6a88fdcaf18f7a27dd71f9413eb4acfd6d198942693be79435f20ac070e8c5373</originalsourceid><addsrcrecordid>eNqFkc2KFDEUhQtRsB19h4AbF1ZPUn9JLXVwdGDAja7D7eSmO211UuamhH4jH9NUtyC4mVVCON_JufdUFRN8K7gYbo9bE0_zzscT2m3Dm6Y892ocnlUboeRY877tnlcbzgWvO9X0L6tXREfOecdbvql-P1gM2TtvIPsYWHTMHFI8RYonmJgPlGHnJ5_PNRBF4yGjZXsMSAyIHXCGHA1O0zJBYgaS8aGQbE5xn5CoeNYJpwu1hoT0AxOxHNl-8RaZmXwof0_MetiHSJ7eX9jLlUGwLB8wwXx-Xb1wMBG--XveVN_vP327-1I_fv38cPfhsTatHHM9gFLOGnBCOQmNtFYKN3aixV0HxtnBilGNXTOM7Q7l2LW9azgYLjkq07eyvaneXX1Lip8LUtYnT-uAEDAupFdSym4Qokjf_ic9xiWFkk43kndqaLkai0pdVSZFooROz8mXPZy14HqtUB_1vwr1WqG-VljQj1cUy8C_PCZNxmMwaH1Ck7WN_mmTP6Ywr24</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2704863089</pqid></control><display><type>article</type><title>Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy</title><source>Elsevier ScienceDirect Journals Complete</source><source>ProQuest Central UK/Ireland</source><creator>Hu, Yueyang ; Tang, Chuanyu ; Zhu, Wen ; Ye, Hanjie ; Lin, Yuxing ; Wang, Ruixuan ; Zhou, Tianjun ; Wen, Sai ; Yang, Jian ; Fang, Chihua</creator><creatorcontrib>Hu, Yueyang ; Tang, Chuanyu ; Zhu, Wen ; Ye, Hanjie ; Lin, Yuxing ; Wang, Ruixuan ; Zhou, Tianjun ; Wen, Sai ; Yang, Jian ; Fang, Chihua</creatorcontrib><description>Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify progression-related biomarkers. LASSO-Cox regression and random forest algorithms were used to construct the progression-related prognosis (PRP) score. Three chromosomal instability-associated genes (KIF20A, TOP2A, and TTK) have been identified as progression-related biomarkers. The robustness of the PRP scores were validated using four independent cohorts. Immune status was observed using the single-sample gene set enrichment analysis (ssGSEA). Comprehensive analysis showed that the patients with high PRP score had wider genomic alterations, more malignant phenotypes, and were in a state of immunosuppression. The diagnostic models constructed via logistic regression based on the three genes showed satisfactory performances in distinguishing HCC from cirrhotic tissues or dysplastic nodules. The nomogram combining PRP scores with clinical factors had a better performance in predicting prognosis than the tumor node metastasis classification (TNM) system. We further confirmed that KIF20A, TOP2A, and TTK were highly expressed in HCC tissues than in cirrhotic tissues. Downregulation of all three genes aggravated chromosomal instabilities in HCC and suppressed HCC cells viability both in vitro and in vivo. Overall, our study highlights the important roles of chromosomal instability-associated genes during the progression of HCC and their potential clinical diagnosis and prognostic value and provides promising new ideas for developing therapeutic strategies to improve the outcomes of HCC patients.
•Hepatocellular carcinoma is characterized by high heterogeneity and complex multistep progression process.•Chromosomal instability plays an important role in hepatocellular carcinoma progression.•The diagnostic models and nomogram based on chromosomal instability-associated genes have potential clinical value.•Chromosomal instability-associated genes are potential therapeutic targets of HCC.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2022.105896</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Algorithms ; Biomarkers ; Cancer ; Cell viability ; Chromosomal instability ; Datasets ; Diagnosis ; Diagnostic model ; Gene expression ; Gene set enrichment analysis ; Genes ; Genomic instability ; Hepatocellular carcinoma ; Heterogeneity ; Immune status ; Immunosuppression ; In vivo methods and tests ; Liver cancer ; Medical diagnosis ; Medical prognosis ; Metastases ; Mutation ; Nodules ; Nomograms ; Patients ; Performance prediction ; Phenotypes ; Prognosis ; Prognostic model ; Regression analysis ; Software ; Stability ; Tissues ; Tumor immune microenvironment ; Tumor progression ; Tumors</subject><ispartof>Computers in biology and medicine, 2022-09, Vol.148, p.105896-105896, Article 105896</ispartof><rights>2022 Elsevier Ltd</rights><rights>2022. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-6a88fdcaf18f7a27dd71f9413eb4acfd6d198942693be79435f20ac070e8c5373</citedby><cites>FETCH-LOGICAL-c379t-6a88fdcaf18f7a27dd71f9413eb4acfd6d198942693be79435f20ac070e8c5373</cites><orcidid>0000-0003-1653-0711</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2704863089?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974,64362,64364,64366,72216</link.rule.ids></links><search><creatorcontrib>Hu, Yueyang</creatorcontrib><creatorcontrib>Tang, Chuanyu</creatorcontrib><creatorcontrib>Zhu, Wen</creatorcontrib><creatorcontrib>Ye, Hanjie</creatorcontrib><creatorcontrib>Lin, Yuxing</creatorcontrib><creatorcontrib>Wang, Ruixuan</creatorcontrib><creatorcontrib>Zhou, Tianjun</creatorcontrib><creatorcontrib>Wen, Sai</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Fang, Chihua</creatorcontrib><title>Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy</title><title>Computers in biology and medicine</title><description>Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify progression-related biomarkers. LASSO-Cox regression and random forest algorithms were used to construct the progression-related prognosis (PRP) score. Three chromosomal instability-associated genes (KIF20A, TOP2A, and TTK) have been identified as progression-related biomarkers. The robustness of the PRP scores were validated using four independent cohorts. Immune status was observed using the single-sample gene set enrichment analysis (ssGSEA). Comprehensive analysis showed that the patients with high PRP score had wider genomic alterations, more malignant phenotypes, and were in a state of immunosuppression. The diagnostic models constructed via logistic regression based on the three genes showed satisfactory performances in distinguishing HCC from cirrhotic tissues or dysplastic nodules. The nomogram combining PRP scores with clinical factors had a better performance in predicting prognosis than the tumor node metastasis classification (TNM) system. We further confirmed that KIF20A, TOP2A, and TTK were highly expressed in HCC tissues than in cirrhotic tissues. Downregulation of all three genes aggravated chromosomal instabilities in HCC and suppressed HCC cells viability both in vitro and in vivo. Overall, our study highlights the important roles of chromosomal instability-associated genes during the progression of HCC and their potential clinical diagnosis and prognostic value and provides promising new ideas for developing therapeutic strategies to improve the outcomes of HCC patients.
•Hepatocellular carcinoma is characterized by high heterogeneity and complex multistep progression process.•Chromosomal instability plays an important role in hepatocellular carcinoma progression.•The diagnostic models and nomogram based on chromosomal instability-associated genes have potential clinical value.•Chromosomal instability-associated genes are potential therapeutic targets of HCC.</description><subject>Algorithms</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cell viability</subject><subject>Chromosomal instability</subject><subject>Datasets</subject><subject>Diagnosis</subject><subject>Diagnostic model</subject><subject>Gene expression</subject><subject>Gene set enrichment analysis</subject><subject>Genes</subject><subject>Genomic instability</subject><subject>Hepatocellular carcinoma</subject><subject>Heterogeneity</subject><subject>Immune status</subject><subject>Immunosuppression</subject><subject>In vivo methods and tests</subject><subject>Liver cancer</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>Mutation</subject><subject>Nodules</subject><subject>Nomograms</subject><subject>Patients</subject><subject>Performance prediction</subject><subject>Phenotypes</subject><subject>Prognosis</subject><subject>Prognostic model</subject><subject>Regression analysis</subject><subject>Software</subject><subject>Stability</subject><subject>Tissues</subject><subject>Tumor immune microenvironment</subject><subject>Tumor progression</subject><subject>Tumors</subject><issn>0010-4825</issn><issn>1879-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc2KFDEUhQtRsB19h4AbF1ZPUn9JLXVwdGDAja7D7eSmO211UuamhH4jH9NUtyC4mVVCON_JufdUFRN8K7gYbo9bE0_zzscT2m3Dm6Y892ocnlUboeRY877tnlcbzgWvO9X0L6tXREfOecdbvql-P1gM2TtvIPsYWHTMHFI8RYonmJgPlGHnJ5_PNRBF4yGjZXsMSAyIHXCGHA1O0zJBYgaS8aGQbE5xn5CoeNYJpwu1hoT0AxOxHNl-8RaZmXwof0_MetiHSJ7eX9jLlUGwLB8wwXx-Xb1wMBG--XveVN_vP327-1I_fv38cPfhsTatHHM9gFLOGnBCOQmNtFYKN3aixV0HxtnBilGNXTOM7Q7l2LW9azgYLjkq07eyvaneXX1Lip8LUtYnT-uAEDAupFdSym4Qokjf_ic9xiWFkk43kndqaLkai0pdVSZFooROz8mXPZy14HqtUB_1vwr1WqG-VljQj1cUy8C_PCZNxmMwaH1Ck7WN_mmTP6Ywr24</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Hu, Yueyang</creator><creator>Tang, Chuanyu</creator><creator>Zhu, Wen</creator><creator>Ye, Hanjie</creator><creator>Lin, Yuxing</creator><creator>Wang, Ruixuan</creator><creator>Zhou, Tianjun</creator><creator>Wen, Sai</creator><creator>Yang, Jian</creator><creator>Fang, Chihua</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1653-0711</orcidid></search><sort><creationdate>202209</creationdate><title>Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy</title><author>Hu, Yueyang ; Tang, Chuanyu ; Zhu, Wen ; Ye, Hanjie ; Lin, Yuxing ; Wang, Ruixuan ; Zhou, Tianjun ; Wen, Sai ; Yang, Jian ; Fang, Chihua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-6a88fdcaf18f7a27dd71f9413eb4acfd6d198942693be79435f20ac070e8c5373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Cell viability</topic><topic>Chromosomal instability</topic><topic>Datasets</topic><topic>Diagnosis</topic><topic>Diagnostic model</topic><topic>Gene expression</topic><topic>Gene set enrichment analysis</topic><topic>Genes</topic><topic>Genomic instability</topic><topic>Hepatocellular carcinoma</topic><topic>Heterogeneity</topic><topic>Immune status</topic><topic>Immunosuppression</topic><topic>In vivo methods and tests</topic><topic>Liver cancer</topic><topic>Medical diagnosis</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>Mutation</topic><topic>Nodules</topic><topic>Nomograms</topic><topic>Patients</topic><topic>Performance prediction</topic><topic>Phenotypes</topic><topic>Prognosis</topic><topic>Prognostic model</topic><topic>Regression analysis</topic><topic>Software</topic><topic>Stability</topic><topic>Tissues</topic><topic>Tumor immune microenvironment</topic><topic>Tumor progression</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Yueyang</creatorcontrib><creatorcontrib>Tang, Chuanyu</creatorcontrib><creatorcontrib>Zhu, Wen</creatorcontrib><creatorcontrib>Ye, Hanjie</creatorcontrib><creatorcontrib>Lin, Yuxing</creatorcontrib><creatorcontrib>Wang, Ruixuan</creatorcontrib><creatorcontrib>Zhou, Tianjun</creatorcontrib><creatorcontrib>Wen, Sai</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Fang, Chihua</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Computers in biology and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Yueyang</au><au>Tang, Chuanyu</au><au>Zhu, Wen</au><au>Ye, Hanjie</au><au>Lin, Yuxing</au><au>Wang, Ruixuan</au><au>Zhou, Tianjun</au><au>Wen, Sai</au><au>Yang, Jian</au><au>Fang, Chihua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy</atitle><jtitle>Computers in biology and medicine</jtitle><date>2022-09</date><risdate>2022</risdate><volume>148</volume><spage>105896</spage><epage>105896</epage><pages>105896-105896</pages><artnum>105896</artnum><issn>0010-4825</issn><eissn>1879-0534</eissn><abstract>Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify progression-related biomarkers. LASSO-Cox regression and random forest algorithms were used to construct the progression-related prognosis (PRP) score. Three chromosomal instability-associated genes (KIF20A, TOP2A, and TTK) have been identified as progression-related biomarkers. The robustness of the PRP scores were validated using four independent cohorts. Immune status was observed using the single-sample gene set enrichment analysis (ssGSEA). Comprehensive analysis showed that the patients with high PRP score had wider genomic alterations, more malignant phenotypes, and were in a state of immunosuppression. The diagnostic models constructed via logistic regression based on the three genes showed satisfactory performances in distinguishing HCC from cirrhotic tissues or dysplastic nodules. The nomogram combining PRP scores with clinical factors had a better performance in predicting prognosis than the tumor node metastasis classification (TNM) system. We further confirmed that KIF20A, TOP2A, and TTK were highly expressed in HCC tissues than in cirrhotic tissues. Downregulation of all three genes aggravated chromosomal instabilities in HCC and suppressed HCC cells viability both in vitro and in vivo. Overall, our study highlights the important roles of chromosomal instability-associated genes during the progression of HCC and their potential clinical diagnosis and prognostic value and provides promising new ideas for developing therapeutic strategies to improve the outcomes of HCC patients.
•Hepatocellular carcinoma is characterized by high heterogeneity and complex multistep progression process.•Chromosomal instability plays an important role in hepatocellular carcinoma progression.•The diagnostic models and nomogram based on chromosomal instability-associated genes have potential clinical value.•Chromosomal instability-associated genes are potential therapeutic targets of HCC.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.compbiomed.2022.105896</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1653-0711</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0010-4825 |
| ispartof | Computers in biology and medicine, 2022-09, Vol.148, p.105896-105896, Article 105896 |
| issn | 0010-4825 1879-0534 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2693774611 |
| source | Elsevier ScienceDirect Journals Complete; ProQuest Central UK/Ireland |
| subjects | Algorithms Biomarkers Cancer Cell viability Chromosomal instability Datasets Diagnosis Diagnostic model Gene expression Gene set enrichment analysis Genes Genomic instability Hepatocellular carcinoma Heterogeneity Immune status Immunosuppression In vivo methods and tests Liver cancer Medical diagnosis Medical prognosis Metastases Mutation Nodules Nomograms Patients Performance prediction Phenotypes Prognosis Prognostic model Regression analysis Software Stability Tissues Tumor immune microenvironment Tumor progression Tumors |
| title | Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T02%3A02%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identification%20of%20chromosomal%20instability-associated%20genes%20as%20hepatocellular%20carcinoma%20progression-related%20biomarkers%20to%20guide%20clinical%20diagnosis,%20prognosis%20and%20therapy&rft.jtitle=Computers%20in%20biology%20and%20medicine&rft.au=Hu,%20Yueyang&rft.date=2022-09&rft.volume=148&rft.spage=105896&rft.epage=105896&rft.pages=105896-105896&rft.artnum=105896&rft.issn=0010-4825&rft.eissn=1879-0534&rft_id=info:doi/10.1016/j.compbiomed.2022.105896&rft_dat=%3Cproquest_cross%3E2693774611%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2704863089&rft_id=info:pmid/&rft_els_id=S0010482522006424&rfr_iscdi=true |