MACC1 as a prognostic biomarker for early-stage and AFP-normal hepatocellular carcinoma
The metastasis-associated in colon cancer 1 gene (MACC1) has been found to be associated with cancer development and progression. The aim of this study was to investigate the prognostic value of MACC1 in early-stage and AFP-normal hepatocellular carcinoma (HCC). mRNA and protein levels of MACC1 expr...
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| creator | Xie, Chan Wu, Jueheng Yun, Jingping Lai, Jiaming Yuan, Yunfei Gao, Zhiliang Li, Mengfeng Li, Jun Song, Libing |
| description | The metastasis-associated in colon cancer 1 gene (MACC1) has been found to be associated with cancer development and progression. The aim of this study was to investigate the prognostic value of MACC1 in early-stage and AFP-normal hepatocellular carcinoma (HCC).
mRNA and protein levels of MACC1 expression in one normal liver epithelial cells THLE3 and 15 HCC cell lines were examined using reverse transcription-PCR and Western blot. MACC1 expression was also comparatively studied in 6 paired HCC lesions and the adjacent non-cancerous tissue samples. Immunohistochemistry was employed to analyze MACC1 expression in 308 clinicopathologically characterized HCC cases. Statistical analyses were applied to derive association between MACC1 expression scores and clinical staging as well as patient survival.
Levels of MACC1 mRNA and protein were higher in HCC cell lines and HCC lesions than in normal liver epithelial cells and the paired adjacent noncancerous tissues. Significant difference in MACC1 expression was found in patients of different TNM stages (P |
| doi_str_mv | 10.1371/journal.pone.0064235 |
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mRNA and protein levels of MACC1 expression in one normal liver epithelial cells THLE3 and 15 HCC cell lines were examined using reverse transcription-PCR and Western blot. MACC1 expression was also comparatively studied in 6 paired HCC lesions and the adjacent non-cancerous tissue samples. Immunohistochemistry was employed to analyze MACC1 expression in 308 clinicopathologically characterized HCC cases. Statistical analyses were applied to derive association between MACC1 expression scores and clinical staging as well as patient survival.
Levels of MACC1 mRNA and protein were higher in HCC cell lines and HCC lesions than in normal liver epithelial cells and the paired adjacent noncancerous tissues. Significant difference in MACC1 expression was found in patients of different TNM stages (P<0.001). Overall survival analysis showed that high MACC1 expression level correlated with lower survival rate (P = 0.001). Importantly, an inverse correlation between MACC1 level and patient survival remained significant in subjects with early-stage HCC or with normal serum AFP level.
MACC1 protein may represent a promising biomarker for predicting the prognosis of HCC, including in early-stage and AFP-normal patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0064235</identifier><identifier>PMID: 23717574</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>alpha-Fetoproteins - metabolism ; Analysis ; Bioindicators ; Biology ; Biomarkers ; Biotechnology ; Cancer ; Cancer genetics ; Cancer metastasis ; Carcinoma, Hepatocellular - metabolism ; Carcinoma, Hepatocellular - mortality ; Carcinoma, Hepatocellular - pathology ; Colon ; Colon cancer ; Colorectal cancer ; Development and progression ; Epithelial cells ; Female ; Gene expression ; Genetic aspects ; Hepatitis ; Hepatocellular carcinoma ; Hepatocytes ; Hospitals ; Humans ; Immunohistochemistry ; Infectious diseases ; Kaplan-Meier Estimate ; Laboratories ; Lesions ; Liver ; Liver - metabolism ; Liver - pathology ; Liver cancer ; Liver Neoplasms - metabolism ; Liver Neoplasms - mortality ; Liver Neoplasms - pathology ; Lymphatic system ; Male ; Medical prognosis ; Medicine ; Metastases ; Metastasis ; Middle Aged ; Multivariate Analysis ; Neoplasm Staging ; Patients ; Prognosis ; Proportional Hazards Models ; Reverse transcription ; RNA ; Rodents ; Statistical analysis ; Statistical methods ; Studies ; Surgery ; Survival ; Systematic review ; Tissues ; Transcription Factors - metabolism ; Up-Regulation</subject><ispartof>PloS one, 2013-05, Vol.8 (5), p.e64235-e64235</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Xie et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Xie et al 2013 Xie et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1a0f37816a4430a60c0ef8a544b0f33a2b1f36b216c2479fc5beefa47b4a55f63</citedby><cites>FETCH-LOGICAL-c692t-1a0f37816a4430a60c0ef8a544b0f33a2b1f36b216c2479fc5beefa47b4a55f63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662710/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662710/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23717574$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wang, Xin Wei</contributor><creatorcontrib>Xie, Chan</creatorcontrib><creatorcontrib>Wu, Jueheng</creatorcontrib><creatorcontrib>Yun, Jingping</creatorcontrib><creatorcontrib>Lai, Jiaming</creatorcontrib><creatorcontrib>Yuan, Yunfei</creatorcontrib><creatorcontrib>Gao, Zhiliang</creatorcontrib><creatorcontrib>Li, Mengfeng</creatorcontrib><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Song, Libing</creatorcontrib><title>MACC1 as a prognostic biomarker for early-stage and AFP-normal hepatocellular carcinoma</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The metastasis-associated in colon cancer 1 gene (MACC1) has been found to be associated with cancer development and progression. The aim of this study was to investigate the prognostic value of MACC1 in early-stage and AFP-normal hepatocellular carcinoma (HCC).
mRNA and protein levels of MACC1 expression in one normal liver epithelial cells THLE3 and 15 HCC cell lines were examined using reverse transcription-PCR and Western blot. MACC1 expression was also comparatively studied in 6 paired HCC lesions and the adjacent non-cancerous tissue samples. Immunohistochemistry was employed to analyze MACC1 expression in 308 clinicopathologically characterized HCC cases. Statistical analyses were applied to derive association between MACC1 expression scores and clinical staging as well as patient survival.
Levels of MACC1 mRNA and protein were higher in HCC cell lines and HCC lesions than in normal liver epithelial cells and the paired adjacent noncancerous tissues. Significant difference in MACC1 expression was found in patients of different TNM stages (P<0.001). Overall survival analysis showed that high MACC1 expression level correlated with lower survival rate (P = 0.001). Importantly, an inverse correlation between MACC1 level and patient survival remained significant in subjects with early-stage HCC or with normal serum AFP level.
MACC1 protein may represent a promising biomarker for predicting the prognosis of HCC, including in early-stage and AFP-normal patients.</description><subject>alpha-Fetoproteins - metabolism</subject><subject>Analysis</subject><subject>Bioindicators</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Biotechnology</subject><subject>Cancer</subject><subject>Cancer genetics</subject><subject>Cancer metastasis</subject><subject>Carcinoma, Hepatocellular - metabolism</subject><subject>Carcinoma, Hepatocellular - mortality</subject><subject>Carcinoma, Hepatocellular - pathology</subject><subject>Colon</subject><subject>Colon cancer</subject><subject>Colorectal cancer</subject><subject>Development and progression</subject><subject>Epithelial cells</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Hepatitis</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatocytes</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Infectious diseases</subject><subject>Kaplan-Meier Estimate</subject><subject>Laboratories</subject><subject>Lesions</subject><subject>Liver</subject><subject>Liver - metabolism</subject><subject>Liver - pathology</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - metabolism</subject><subject>Liver Neoplasms - mortality</subject><subject>Liver Neoplasms - pathology</subject><subject>Lymphatic system</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasm Staging</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Reverse transcription</subject><subject>RNA</subject><subject>Rodents</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Studies</subject><subject>Surgery</subject><subject>Survival</subject><subject>Systematic review</subject><subject>Tissues</subject><subject>Transcription Factors - metabolism</subject><subject>Up-Regulation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAYhSMEYmPwDxBEQkJwkeKv2MkNUlUxqDQ0xOel9dq10xQ3LnaC2L_HXbOpQbtAuUhkP--xz8nJsqcYzTAV-M3GD6EDN9v5zswQ4ozQ8l52imtKCk4QvX_0fZI9inGDUEkrzh9mJyQJiFKw0-zHx_ligXOIOeS74JvOx77VuWr9FsJPE3LrQ24guKsi9tCYHLpVPj__VHQ-bMHla7OD3mvj3OAg5BqCbrs0-zh7YMFF82R8n2Xfzt99XXwoLi7fLxfzi0LzmvQFBmSpqDAHxigCjjQytoKSMZU2KBCFLeWKYK4JE7XVpTLGAhOKQVlaTs-y5wfdnfNRjplEiWnJkvkSkUQsD8TKw0buQpuMXUkPrbxe8KGREJJnZySx1OCVIBWvNLOqUlgBwmAsqWmtFSStt-Npg9qalTZdH8BNRKc7XbuWjf8tKedEYJQEXo0Cwf8aTOzlto379KAzfri-N69LISqR0Bf_oHe7G6kGkoG2sz6dq_eics5SsJQiXidqdgeVnpXZtjoVyLZpfTLwejKQmN786RsYYpTLL5__n738PmVfHrFrA65fR--GvvVdnILsAOrgYwzG3oaMkdz3_yYNue-_HPufxp4d_6DboZvC07-8e_83</recordid><startdate>20130523</startdate><enddate>20130523</enddate><creator>Xie, Chan</creator><creator>Wu, Jueheng</creator><creator>Yun, Jingping</creator><creator>Lai, Jiaming</creator><creator>Yuan, Yunfei</creator><creator>Gao, Zhiliang</creator><creator>Li, Mengfeng</creator><creator>Li, Jun</creator><creator>Song, Libing</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130523</creationdate><title>MACC1 as a prognostic biomarker for early-stage and AFP-normal hepatocellular carcinoma</title><author>Xie, Chan ; Wu, Jueheng ; Yun, Jingping ; Lai, Jiaming ; Yuan, Yunfei ; Gao, Zhiliang ; Li, Mengfeng ; Li, Jun ; Song, Libing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-1a0f37816a4430a60c0ef8a544b0f33a2b1f36b216c2479fc5beefa47b4a55f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>alpha-Fetoproteins - metabolism</topic><topic>Analysis</topic><topic>Bioindicators</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Biotechnology</topic><topic>Cancer</topic><topic>Cancer genetics</topic><topic>Cancer metastasis</topic><topic>Carcinoma, Hepatocellular - metabolism</topic><topic>Carcinoma, Hepatocellular - mortality</topic><topic>Carcinoma, Hepatocellular - pathology</topic><topic>Colon</topic><topic>Colon cancer</topic><topic>Colorectal cancer</topic><topic>Development and progression</topic><topic>Epithelial cells</topic><topic>Female</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Hepatitis</topic><topic>Hepatocellular carcinoma</topic><topic>Hepatocytes</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Infectious diseases</topic><topic>Kaplan-Meier Estimate</topic><topic>Laboratories</topic><topic>Lesions</topic><topic>Liver</topic><topic>Liver - metabolism</topic><topic>Liver - pathology</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Chan</au><au>Wu, Jueheng</au><au>Yun, Jingping</au><au>Lai, Jiaming</au><au>Yuan, Yunfei</au><au>Gao, Zhiliang</au><au>Li, Mengfeng</au><au>Li, Jun</au><au>Song, Libing</au><au>Wang, Xin Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MACC1 as a prognostic biomarker for early-stage and AFP-normal hepatocellular carcinoma</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-05-23</date><risdate>2013</risdate><volume>8</volume><issue>5</issue><spage>e64235</spage><epage>e64235</epage><pages>e64235-e64235</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The metastasis-associated in colon cancer 1 gene (MACC1) has been found to be associated with cancer development and progression. The aim of this study was to investigate the prognostic value of MACC1 in early-stage and AFP-normal hepatocellular carcinoma (HCC).
mRNA and protein levels of MACC1 expression in one normal liver epithelial cells THLE3 and 15 HCC cell lines were examined using reverse transcription-PCR and Western blot. MACC1 expression was also comparatively studied in 6 paired HCC lesions and the adjacent non-cancerous tissue samples. Immunohistochemistry was employed to analyze MACC1 expression in 308 clinicopathologically characterized HCC cases. Statistical analyses were applied to derive association between MACC1 expression scores and clinical staging as well as patient survival.
Levels of MACC1 mRNA and protein were higher in HCC cell lines and HCC lesions than in normal liver epithelial cells and the paired adjacent noncancerous tissues. Significant difference in MACC1 expression was found in patients of different TNM stages (P<0.001). Overall survival analysis showed that high MACC1 expression level correlated with lower survival rate (P = 0.001). Importantly, an inverse correlation between MACC1 level and patient survival remained significant in subjects with early-stage HCC or with normal serum AFP level.
MACC1 protein may represent a promising biomarker for predicting the prognosis of HCC, including in early-stage and AFP-normal patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23717574</pmid><doi>10.1371/journal.pone.0064235</doi><tpages>e64235</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2013-05, Vol.8 (5), p.e64235-e64235 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1354932502 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | alpha-Fetoproteins - metabolism Analysis Bioindicators Biology Biomarkers Biotechnology Cancer Cancer genetics Cancer metastasis Carcinoma, Hepatocellular - metabolism Carcinoma, Hepatocellular - mortality Carcinoma, Hepatocellular - pathology Colon Colon cancer Colorectal cancer Development and progression Epithelial cells Female Gene expression Genetic aspects Hepatitis Hepatocellular carcinoma Hepatocytes Hospitals Humans Immunohistochemistry Infectious diseases Kaplan-Meier Estimate Laboratories Lesions Liver Liver - metabolism Liver - pathology Liver cancer Liver Neoplasms - metabolism Liver Neoplasms - mortality Liver Neoplasms - pathology Lymphatic system Male Medical prognosis Medicine Metastases Metastasis Middle Aged Multivariate Analysis Neoplasm Staging Patients Prognosis Proportional Hazards Models Reverse transcription RNA Rodents Statistical analysis Statistical methods Studies Surgery Survival Systematic review Tissues Transcription Factors - metabolism Up-Regulation |
| title | MACC1 as a prognostic biomarker for early-stage and AFP-normal hepatocellular carcinoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T10%3A55%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MACC1%20as%20a%20prognostic%20biomarker%20for%20early-stage%20and%20AFP-normal%20hepatocellular%20carcinoma&rft.jtitle=PloS%20one&rft.au=Xie,%20Chan&rft.date=2013-05-23&rft.volume=8&rft.issue=5&rft.spage=e64235&rft.epage=e64235&rft.pages=e64235-e64235&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0064235&rft_dat=%3Cgale_plos_%3EA478133069%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1354932502&rft_id=info:pmid/23717574&rft_galeid=A478133069&rft_doaj_id=oai_doaj_org_article_2f3e1d72868c4fb8b1ba01aef2939cba&rfr_iscdi=true |