Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin
Abstract Purpose Narrow resection margin hepatocellular carcinoma (NRM-HCC) has a high incidence of early recurrence. Our study was designed to identify prognostic factors in patients with NRM-HCC, establish and validate a nomogram model to predict early recurrence of NRM-HCC patients. Methods We re...
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Nature Portfolio
2024-11-01
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| author | Jinyu Zhang Zhiping Wang Qionglan Wu Jinhua Zeng Jingfeng Liu Jianxing Zeng |
| author_facet | Jinyu Zhang Zhiping Wang Qionglan Wu Jinhua Zeng Jingfeng Liu Jianxing Zeng |
| author_sort | Jinyu Zhang |
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| description | Abstract Purpose Narrow resection margin hepatocellular carcinoma (NRM-HCC) has a high incidence of early recurrence. Our study was designed to identify prognostic factors in patients with NRM-HCC, establish and validate a nomogram model to predict early recurrence of NRM-HCC patients. Methods We retrospectively analyzed data from 2957 NRM-HCC patients who underwent radical hepatectomy at three medical centers between December 2009 and January 2015. Patients were randomly assigned to a training cohort (n = 2069) and a validation cohort (n = 888). Using univariate and multivariate COX regression to determine early relapse factors in NRM-HCC patients, and used these factors to construct a nomogram. The accuracy of the prediction was evaluated using the C-index, receiver operating characteristic (ROC) and calibration curve. Decision curve analysis (DCA) assessed the predictive value of the models. Finally, the recurrence-free survival of different risks was analyzed using Kaplan-Meier (K-M) method. Results The nomogram of NRM model contains alpha-fetoprotein (AFP), alkaline phosphatase (ALP), tumor size, tumor number, microvascular invasion (MVI), tumor capsular, and satellite nodules. The model shows good discrimination with C-indexes of 0.71 (95% CI: 0.69–0.72) and 0.72 (95% CI: 0.70–0.75) in the train cohort and test cohort respectively. Decision curve analysis demonstrated that the model is clinically useful and the calibration of our model was favorable. Our model stratified patients into two different risk groups, which exhibited significantly different early recurrence. The web-based tools are convenient for clinical practice. Conclusions NRM model demonstrated favorable performance in predicting early recurrence in NRM-HCC patients. This novel model will be helpful to guide postoperative follow-up and adjuvant therapy. |
| format | Article |
| id | doaj-art-27e6d0bb562c4b66b8fbc5285dd17e77 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-27e6d0bb562c4b66b8fbc5285dd17e772024-11-17T12:19:53ZengNature PortfolioScientific Reports2045-23222024-11-0114111410.1038/s41598-024-79760-xNomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection marginJinyu Zhang0Zhiping Wang1Qionglan Wu2Jinhua Zeng3Jingfeng Liu4Jianxing Zeng5Department of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical UniversityClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalDepartment of Pathology, Mengchao Hepatobiliary Hospital of Fujian Medical UniversityDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical UniversityDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical UniversityDepartment of Hepatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical UniversityAbstract Purpose Narrow resection margin hepatocellular carcinoma (NRM-HCC) has a high incidence of early recurrence. Our study was designed to identify prognostic factors in patients with NRM-HCC, establish and validate a nomogram model to predict early recurrence of NRM-HCC patients. Methods We retrospectively analyzed data from 2957 NRM-HCC patients who underwent radical hepatectomy at three medical centers between December 2009 and January 2015. Patients were randomly assigned to a training cohort (n = 2069) and a validation cohort (n = 888). Using univariate and multivariate COX regression to determine early relapse factors in NRM-HCC patients, and used these factors to construct a nomogram. The accuracy of the prediction was evaluated using the C-index, receiver operating characteristic (ROC) and calibration curve. Decision curve analysis (DCA) assessed the predictive value of the models. Finally, the recurrence-free survival of different risks was analyzed using Kaplan-Meier (K-M) method. Results The nomogram of NRM model contains alpha-fetoprotein (AFP), alkaline phosphatase (ALP), tumor size, tumor number, microvascular invasion (MVI), tumor capsular, and satellite nodules. The model shows good discrimination with C-indexes of 0.71 (95% CI: 0.69–0.72) and 0.72 (95% CI: 0.70–0.75) in the train cohort and test cohort respectively. Decision curve analysis demonstrated that the model is clinically useful and the calibration of our model was favorable. Our model stratified patients into two different risk groups, which exhibited significantly different early recurrence. The web-based tools are convenient for clinical practice. Conclusions NRM model demonstrated favorable performance in predicting early recurrence in NRM-HCC patients. This novel model will be helpful to guide postoperative follow-up and adjuvant therapy.https://doi.org/10.1038/s41598-024-79760-xHepatocellular carcinomaHepatectomyEarly recurrenceNomogramIndividualized prediction |
| spellingShingle | Jinyu Zhang Zhiping Wang Qionglan Wu Jinhua Zeng Jingfeng Liu Jianxing Zeng Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin Scientific Reports Hepatocellular carcinoma Hepatectomy Early recurrence Nomogram Individualized prediction |
| title | Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| title_full | Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| title_fullStr | Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| title_full_unstemmed | Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| title_short | Nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| title_sort | nomogram for predicting early recurrence of hepatocellular carcinoma with narrow resection margin |
| topic | Hepatocellular carcinoma Hepatectomy Early recurrence Nomogram Individualized prediction |
| url | https://doi.org/10.1038/s41598-024-79760-x |
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