Yuki Kunimune, Yutaka Suehiro, I. Saeki, Yurika Yamauchi, N. Tanabe, Toshihiko Matsumoto, S. Higaki, Ikuei Fujii, Chieko Suzuki, N. Okayama, Mitsuaki Nishioka, Kiyoshi Ichihara, Hiroaki Nagano, Isao Sakaida, T. Takami, Takahiro Yamasaki
{"title":"Combination Assay of Methylated HOXA1 with Tumor Markers Shows High Sensitivity for Detection of Early-Stage Hepatocellular Carcinoma","authors":"Yuki Kunimune, Yutaka Suehiro, I. Saeki, Yurika Yamauchi, N. Tanabe, Toshihiko Matsumoto, S. Higaki, Ikuei Fujii, Chieko Suzuki, N. Okayama, Mitsuaki Nishioka, Kiyoshi Ichihara, Hiroaki Nagano, Isao Sakaida, T. Takami, Takahiro Yamasaki","doi":"10.1159/000536211","DOIUrl":null,"url":null,"abstract":"<b><i>Introduction:</i></b> Patients with hepatitis virus-related hepatocellular carcinoma (viral HCC) are decreasing as hepatitis control improves, but those with non-viral-related HCC (non-viral HCC) are increasing in Japan. No established surveillance system exists for patients with non-viral HCC, so they are often diagnosed at an advanced stage. To address this, we performed this study. <b><i>Methods:</i></b> We collected serum samples from 516 participants (154 healthy subjects, 93 chronic liver disease [CLD] patients without HCC, and 269 HCC patients). Participants were divided into a control group comprising healthy subjects and patients with CLD and an HCC group. We evaluated serum methylated <i>HOXA1</i> (m-<i>HOXA1</i>) copy numbers using modified combined restriction digital PCR (CORD) assay (1-step CORD assay). We assessed diagnostic performance of m-<i>HOXA1</i> compared to HCC tumor markers alpha-fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP) and created a novel index to improve HCC prediction. <b><i>Results:</i></b> Serum m-<i>HOXA1</i> level was significantly higher in each HCC stage group versus the control group. Its sensitivity was 69.1% and specificity was 78.5% for diagnosing HCC. The area under the curve (AUC) of m-<i>HOXA1</i> was superior to that of AFP and equal to that of DCP. Multivariate logistic regression analysis revealed independent contributions of m-<i>HOXA1</i>, DCP, and AFP, in that order of strength, to diagnose HCC after adjustment for age and sex. We designated the predictive probability of HCC based on the regression model as the ASDAm-H1 (<underline>A</underline>ge, <underline>S</underline>ex, <underline>D</underline>CP, <underline>A</underline>FP, and <underline>m</underline><underline>-</underline><i><underline>H</underline>OXA<underline>1</underline></i>) index. Its diagnostic accuracy was 0.96 by AUC with a sensitivity of 86.2% and specificity of 93.9%. Sensitivity was identical for viral and non-viral HCCs. When limited to early-stage HCC, sensitivity of the ASDAm-H1 index was 76.3%. <b><i>Conclusions:</i></b> We showed distinguished performance of the ASDAm-H1 index to detect viral and non-viral HCC, even at an early stage. This index might have potential as a non-viral HCC surveillance system.","PeriodicalId":11,"journal":{"name":"ACS Chemical Biology","volume":"1080 ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Chemical Biology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000536211","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Patients with hepatitis virus-related hepatocellular carcinoma (viral HCC) are decreasing as hepatitis control improves, but those with non-viral-related HCC (non-viral HCC) are increasing in Japan. No established surveillance system exists for patients with non-viral HCC, so they are often diagnosed at an advanced stage. To address this, we performed this study. Methods: We collected serum samples from 516 participants (154 healthy subjects, 93 chronic liver disease [CLD] patients without HCC, and 269 HCC patients). Participants were divided into a control group comprising healthy subjects and patients with CLD and an HCC group. We evaluated serum methylated HOXA1 (m-HOXA1) copy numbers using modified combined restriction digital PCR (CORD) assay (1-step CORD assay). We assessed diagnostic performance of m-HOXA1 compared to HCC tumor markers alpha-fetoprotein (AFP) and des-gamma-carboxy prothrombin (DCP) and created a novel index to improve HCC prediction. Results: Serum m-HOXA1 level was significantly higher in each HCC stage group versus the control group. Its sensitivity was 69.1% and specificity was 78.5% for diagnosing HCC. The area under the curve (AUC) of m-HOXA1 was superior to that of AFP and equal to that of DCP. Multivariate logistic regression analysis revealed independent contributions of m-HOXA1, DCP, and AFP, in that order of strength, to diagnose HCC after adjustment for age and sex. We designated the predictive probability of HCC based on the regression model as the ASDAm-H1 (Age, Sex, DCP, AFP, and m-HOXA1) index. Its diagnostic accuracy was 0.96 by AUC with a sensitivity of 86.2% and specificity of 93.9%. Sensitivity was identical for viral and non-viral HCCs. When limited to early-stage HCC, sensitivity of the ASDAm-H1 index was 76.3%. Conclusions: We showed distinguished performance of the ASDAm-H1 index to detect viral and non-viral HCC, even at an early stage. This index might have potential as a non-viral HCC surveillance system.
期刊介绍:
ACS Chemical Biology provides an international forum for the rapid communication of research that broadly embraces the interface between chemistry and biology.
The journal also serves as a forum to facilitate the communication between biologists and chemists that will translate into new research opportunities and discoveries. Results will be published in which molecular reasoning has been used to probe questions through in vitro investigations, cell biological methods, or organismic studies.
We welcome mechanistic studies on proteins, nucleic acids, sugars, lipids, and nonbiological polymers. The journal serves a large scientific community, exploring cellular function from both chemical and biological perspectives. It is understood that submitted work is based upon original results and has not been published previously.