A new prognostic model for hepatocellular carcinoma recurrence after curative hepatectomy
We previously reported the effectiveness of the product of tumor number and size (NxS factor) for the prognosis of hepatocellular carcinoma (HCC) in patients following hepatectomy. The present study aimed to propose a new score based on the NxS factor to predict HCC recurrence following hepatectomy....
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Veröffentlicht in: | Oncology letters 2018-04, Vol.15 (4), p.4411-4422 |
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creator | Tokumitsu, Yukio Sakamoto, Kazuhiko Tokuhisa, Yoshihiro Matsui, Hiroto Matsukuma, Satoshi Maeda, Yoshinari Sakata, Koichiro Wada, Hiroshi Eguchi, Hidetoshi Ogihara, Hiroyuki Fujita, Yusuke Hamamoto, Yoshihiko Iizuka, Norio Ueno, Tomio Nagano, Hiroaki |
description | We previously reported the effectiveness of the product of tumor number and size (NxS factor) for the prognosis of hepatocellular carcinoma (HCC) in patients following hepatectomy. The present study aimed to propose a new score based on the NxS factor to predict HCC recurrence following hepatectomy. A total of 406 patients who underwent hepatectomy for HCC at Osaka University Graduate School of Medicine were retrospectively analyzed to develop the new score. Among clinicopathological factors, including the NxS factor, the marker subset that achieved the best performance for prediction of early recurrence was assessed, and a prognostic model for HCC recurrence after curative hepatectomy (REACH) was developed. As the validation set, 425 patients who underwent hepatectomy for HCC at Yamaguchi University Graduate School of Medicine and Shimonoseki Medical Center were analyzed, and the prognostic ability of the REACH score was compared with that of well-known staging systems. Following analysis, the REACH score was constructed using six covariates (NxS factor, microscopic hepatic vein invasion, differentiation, serum albumin, platelet count and indocyanine green retention rate at 15 min). In the validation set, the REACH score predicted early recurrence in 73 of 81 samples, with a sensitivity of 89% and a specificity of 58%. The area under the curve (AUC) of the receiver operating characteristic curve of the REACH score was 0.78 and 0.74, respectively, for 1- and 2-year recurrence after hepatectomy; each AUC was higher than that of any of the other staging systems. Survival analysis indicated the REACH score had the best predictive value in disease-free and overall survival. The present findings demonstrated that the REACH score may be used to classify patients with HCC into high- and low-risk of recurrence, and to predict subsequent survival following hepatic resection. |
doi_str_mv | 10.3892/ol.2018.7821 |
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The present study aimed to propose a new score based on the NxS factor to predict HCC recurrence following hepatectomy. A total of 406 patients who underwent hepatectomy for HCC at Osaka University Graduate School of Medicine were retrospectively analyzed to develop the new score. Among clinicopathological factors, including the NxS factor, the marker subset that achieved the best performance for prediction of early recurrence was assessed, and a prognostic model for HCC recurrence after curative hepatectomy (REACH) was developed. As the validation set, 425 patients who underwent hepatectomy for HCC at Yamaguchi University Graduate School of Medicine and Shimonoseki Medical Center were analyzed, and the prognostic ability of the REACH score was compared with that of well-known staging systems. Following analysis, the REACH score was constructed using six covariates (NxS factor, microscopic hepatic vein invasion, differentiation, serum albumin, platelet count and indocyanine green retention rate at 15 min). In the validation set, the REACH score predicted early recurrence in 73 of 81 samples, with a sensitivity of 89% and a specificity of 58%. The area under the curve (AUC) of the receiver operating characteristic curve of the REACH score was 0.78 and 0.74, respectively, for 1- and 2-year recurrence after hepatectomy; each AUC was higher than that of any of the other staging systems. Survival analysis indicated the REACH score had the best predictive value in disease-free and overall survival. The present findings demonstrated that the REACH score may be used to classify patients with HCC into high- and low-risk of recurrence, and to predict subsequent survival following hepatic resection.</description><identifier>ISSN: 1792-1074</identifier><identifier>EISSN: 1792-1082</identifier><identifier>DOI: 10.3892/ol.2018.7821</identifier><identifier>PMID: 29556288</identifier><language>eng</language><publisher>Greece: Spandidos Publications</publisher><subject>Cancer recurrence ; Care and treatment ; Development and progression ; Hepatectomy ; Hepatitis ; Hepatocellular carcinoma ; Liver cancer ; Medical prognosis ; Patient outcomes ; Patients ; Prognosis ; Risk factors ; Surgery ; Survival analysis</subject><ispartof>Oncology letters, 2018-04, Vol.15 (4), p.4411-4422</ispartof><rights>COPYRIGHT 2018 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2018</rights><rights>Copyright © 2018, Spandidos Publications 2018</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-cfb0e78773f4ad5c2b6d41e73d0b8be79cd1ce4c67e72118987fea1eb0a0d7ba3</citedby><cites>FETCH-LOGICAL-c510t-cfb0e78773f4ad5c2b6d41e73d0b8be79cd1ce4c67e72118987fea1eb0a0d7ba3</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/PMC5844062/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844062/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29556288$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tokumitsu, Yukio</creatorcontrib><creatorcontrib>Sakamoto, Kazuhiko</creatorcontrib><creatorcontrib>Tokuhisa, Yoshihiro</creatorcontrib><creatorcontrib>Matsui, Hiroto</creatorcontrib><creatorcontrib>Matsukuma, Satoshi</creatorcontrib><creatorcontrib>Maeda, Yoshinari</creatorcontrib><creatorcontrib>Sakata, Koichiro</creatorcontrib><creatorcontrib>Wada, Hiroshi</creatorcontrib><creatorcontrib>Eguchi, Hidetoshi</creatorcontrib><creatorcontrib>Ogihara, Hiroyuki</creatorcontrib><creatorcontrib>Fujita, Yusuke</creatorcontrib><creatorcontrib>Hamamoto, Yoshihiko</creatorcontrib><creatorcontrib>Iizuka, Norio</creatorcontrib><creatorcontrib>Ueno, Tomio</creatorcontrib><creatorcontrib>Nagano, Hiroaki</creatorcontrib><title>A new prognostic model for hepatocellular carcinoma recurrence after curative hepatectomy</title><title>Oncology letters</title><addtitle>Oncol Lett</addtitle><description>We previously reported the effectiveness of the product of tumor number and size (NxS factor) for the prognosis of hepatocellular carcinoma (HCC) in patients following hepatectomy. The present study aimed to propose a new score based on the NxS factor to predict HCC recurrence following hepatectomy. A total of 406 patients who underwent hepatectomy for HCC at Osaka University Graduate School of Medicine were retrospectively analyzed to develop the new score. Among clinicopathological factors, including the NxS factor, the marker subset that achieved the best performance for prediction of early recurrence was assessed, and a prognostic model for HCC recurrence after curative hepatectomy (REACH) was developed. As the validation set, 425 patients who underwent hepatectomy for HCC at Yamaguchi University Graduate School of Medicine and Shimonoseki Medical Center were analyzed, and the prognostic ability of the REACH score was compared with that of well-known staging systems. Following analysis, the REACH score was constructed using six covariates (NxS factor, microscopic hepatic vein invasion, differentiation, serum albumin, platelet count and indocyanine green retention rate at 15 min). In the validation set, the REACH score predicted early recurrence in 73 of 81 samples, with a sensitivity of 89% and a specificity of 58%. The area under the curve (AUC) of the receiver operating characteristic curve of the REACH score was 0.78 and 0.74, respectively, for 1- and 2-year recurrence after hepatectomy; each AUC was higher than that of any of the other staging systems. Survival analysis indicated the REACH score had the best predictive value in disease-free and overall survival. The present findings demonstrated that the REACH score may be used to classify patients with HCC into high- and low-risk of recurrence, and to predict subsequent survival following hepatic resection.</description><subject>Cancer recurrence</subject><subject>Care and treatment</subject><subject>Development and progression</subject><subject>Hepatectomy</subject><subject>Hepatitis</subject><subject>Hepatocellular carcinoma</subject><subject>Liver cancer</subject><subject>Medical prognosis</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Risk factors</subject><subject>Surgery</subject><subject>Survival analysis</subject><issn>1792-1074</issn><issn>1792-1082</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNptkk2LFDEQhoMo7rLuzbM0COLBGZN0p5O-CMPiFyx40YOnkE5Xz2RJp8Ykvcv-e9PMOu6IySFF6nnfoooi5CWj61p1_D36NadMraXi7Ak5Z7LjK0YVf3qMZXNGLlO6oeWIlinVPidnvBOi5Uqdk5-bKsBdtY-4DZiys9WEA_hqxFjtYG8yWvB-9iZW1kTrAk6mimDnGCFYqMyYoaTmaLK7hYMEbMbp_gV5Nhqf4PLhvSA_Pn38fvVldf3t89erzfXKCkbzyo49BamkrMfGDMLyvh0aBrIeaK96kJ0dmIXGthIkZ0x1So5gGPTU0EH2pr4gHw6--7mfYLAQcjRe76ObTLzXaJw-zQS301u81UI1DW15MXj7YBDx1wwp68mlpWsTAOeky4CFqqWiTUFf_4Pe4BxDaa9QnDZMFuwvtTUetAsjlrp2MdUbUQtaUymWsuv_UOUOMDmLAUZX_k8Ebx4JdmB83iX0c3YY0in47gDaiClFGI_DYFQva6PRL10pvaxNwV89HuAR_rMk9W9iKL19</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Tokumitsu, Yukio</creator><creator>Sakamoto, Kazuhiko</creator><creator>Tokuhisa, Yoshihiro</creator><creator>Matsui, Hiroto</creator><creator>Matsukuma, Satoshi</creator><creator>Maeda, Yoshinari</creator><creator>Sakata, Koichiro</creator><creator>Wada, Hiroshi</creator><creator>Eguchi, Hidetoshi</creator><creator>Ogihara, Hiroyuki</creator><creator>Fujita, Yusuke</creator><creator>Hamamoto, Yoshihiko</creator><creator>Iizuka, Norio</creator><creator>Ueno, Tomio</creator><creator>Nagano, Hiroaki</creator><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</general><general>D.A. Spandidos</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180401</creationdate><title>A new prognostic model for hepatocellular carcinoma recurrence after curative hepatectomy</title><author>Tokumitsu, Yukio ; Sakamoto, Kazuhiko ; Tokuhisa, Yoshihiro ; Matsui, Hiroto ; Matsukuma, Satoshi ; Maeda, Yoshinari ; Sakata, Koichiro ; Wada, Hiroshi ; Eguchi, Hidetoshi ; Ogihara, Hiroyuki ; Fujita, Yusuke ; Hamamoto, Yoshihiko ; Iizuka, Norio ; Ueno, Tomio ; Nagano, Hiroaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-cfb0e78773f4ad5c2b6d41e73d0b8be79cd1ce4c67e72118987fea1eb0a0d7ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cancer recurrence</topic><topic>Care and treatment</topic><topic>Development and progression</topic><topic>Hepatectomy</topic><topic>Hepatitis</topic><topic>Hepatocellular carcinoma</topic><topic>Liver cancer</topic><topic>Medical prognosis</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Risk factors</topic><topic>Surgery</topic><topic>Survival analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Tokumitsu, Yukio</creatorcontrib><creatorcontrib>Sakamoto, Kazuhiko</creatorcontrib><creatorcontrib>Tokuhisa, Yoshihiro</creatorcontrib><creatorcontrib>Matsui, Hiroto</creatorcontrib><creatorcontrib>Matsukuma, Satoshi</creatorcontrib><creatorcontrib>Maeda, Yoshinari</creatorcontrib><creatorcontrib>Sakata, Koichiro</creatorcontrib><creatorcontrib>Wada, Hiroshi</creatorcontrib><creatorcontrib>Eguchi, Hidetoshi</creatorcontrib><creatorcontrib>Ogihara, Hiroyuki</creatorcontrib><creatorcontrib>Fujita, Yusuke</creatorcontrib><creatorcontrib>Hamamoto, Yoshihiko</creatorcontrib><creatorcontrib>Iizuka, Norio</creatorcontrib><creatorcontrib>Ueno, Tomio</creatorcontrib><creatorcontrib>Nagano, Hiroaki</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tokumitsu, Yukio</au><au>Sakamoto, Kazuhiko</au><au>Tokuhisa, Yoshihiro</au><au>Matsui, Hiroto</au><au>Matsukuma, Satoshi</au><au>Maeda, Yoshinari</au><au>Sakata, Koichiro</au><au>Wada, Hiroshi</au><au>Eguchi, Hidetoshi</au><au>Ogihara, Hiroyuki</au><au>Fujita, Yusuke</au><au>Hamamoto, Yoshihiko</au><au>Iizuka, Norio</au><au>Ueno, Tomio</au><au>Nagano, Hiroaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new prognostic model for hepatocellular carcinoma recurrence after curative hepatectomy</atitle><jtitle>Oncology letters</jtitle><addtitle>Oncol Lett</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>15</volume><issue>4</issue><spage>4411</spage><epage>4422</epage><pages>4411-4422</pages><issn>1792-1074</issn><eissn>1792-1082</eissn><abstract>We previously reported the effectiveness of the product of tumor number and size (NxS factor) for the prognosis of hepatocellular carcinoma (HCC) in patients following hepatectomy. The present study aimed to propose a new score based on the NxS factor to predict HCC recurrence following hepatectomy. A total of 406 patients who underwent hepatectomy for HCC at Osaka University Graduate School of Medicine were retrospectively analyzed to develop the new score. Among clinicopathological factors, including the NxS factor, the marker subset that achieved the best performance for prediction of early recurrence was assessed, and a prognostic model for HCC recurrence after curative hepatectomy (REACH) was developed. As the validation set, 425 patients who underwent hepatectomy for HCC at Yamaguchi University Graduate School of Medicine and Shimonoseki Medical Center were analyzed, and the prognostic ability of the REACH score was compared with that of well-known staging systems. Following analysis, the REACH score was constructed using six covariates (NxS factor, microscopic hepatic vein invasion, differentiation, serum albumin, platelet count and indocyanine green retention rate at 15 min). In the validation set, the REACH score predicted early recurrence in 73 of 81 samples, with a sensitivity of 89% and a specificity of 58%. The area under the curve (AUC) of the receiver operating characteristic curve of the REACH score was 0.78 and 0.74, respectively, for 1- and 2-year recurrence after hepatectomy; each AUC was higher than that of any of the other staging systems. Survival analysis indicated the REACH score had the best predictive value in disease-free and overall survival. The present findings demonstrated that the REACH score may be used to classify patients with HCC into high- and low-risk of recurrence, and to predict subsequent survival following hepatic resection.</abstract><cop>Greece</cop><pub>Spandidos Publications</pub><pmid>29556288</pmid><doi>10.3892/ol.2018.7821</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cancer recurrence Care and treatment Development and progression Hepatectomy Hepatitis Hepatocellular carcinoma Liver cancer Medical prognosis Patient outcomes Patients Prognosis Risk factors Surgery Survival analysis |
title | A new prognostic model for hepatocellular carcinoma recurrence after curative hepatectomy |
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