Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion
Abstract Backgrounds This is the first study to build and evaluate a predictive model for early relapse after R0 resection in hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI). Methods The consecutive HCC patients with MVI who underwent hepatectomy in Cancer Hospital of Chine...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-07-01
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| Series: | Journal of Translational Medicine |
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| Online Access: | https://doi.org/10.1186/s12967-021-02940-0 |
| _version_ | 1818859578971914240 |
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| author | Kai Zhang Changcheng Tao Tana Siqin Jianxiong Wu Weiqi Rong |
| author_facet | Kai Zhang Changcheng Tao Tana Siqin Jianxiong Wu Weiqi Rong |
| author_sort | Kai Zhang |
| collection | DOAJ |
| description | Abstract Backgrounds This is the first study to build and evaluate a predictive model for early relapse after R0 resection in hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI). Methods The consecutive HCC patients with MVI who underwent hepatectomy in Cancer Hospital of Chinese Academy of Medical Science from Jan 2014 to June 2019 were retrospectively enrolled and randomly allocated into a derivation (N = 286) and validation cohort (N = 120) in a ratio of 7:3. Cox regression and Logistic regression analyses were performed and a predictive model for postoperative early-relapse were developed. Results A total of 406 HCC patients with MVI were included in our work. Preoperative blood alpha-fetoprotein (AFP) level, hepatitis B e antigen (HBeAg) status, MVI classification, largest tumor diameter, the status of serosal invasion, number of tumors, and the status of satellite nodules were incorporated to construct a model. The concordance index (C-index) was 0.737 and 0.736 in the derivation and validation cohort, respectively. The calibration curves showed a good agreement between actual observation and nomogram prediction. The C-index of the nomogram was obviously higher than those of the two traditional HCC staging systems. Conclusion We have developed and validated a prediction model for postoperative early-relapse in HCC patient with MVI after R0 resection. |
| first_indexed | 2024-12-19T09:14:25Z |
| format | Article |
| id | doaj.art-008fc17c72b04f10ad03689f96cbf656 |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-12-19T09:14:25Z |
| publishDate | 2021-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-008fc17c72b04f10ad03689f96cbf6562022-12-21T20:28:07ZengBMCJournal of Translational Medicine1479-58762021-07-0119111410.1186/s12967-021-02940-0Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasionKai Zhang0Changcheng Tao1Tana Siqin2Jianxiong Wu3Weiqi Rong4Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)Abstract Backgrounds This is the first study to build and evaluate a predictive model for early relapse after R0 resection in hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI). Methods The consecutive HCC patients with MVI who underwent hepatectomy in Cancer Hospital of Chinese Academy of Medical Science from Jan 2014 to June 2019 were retrospectively enrolled and randomly allocated into a derivation (N = 286) and validation cohort (N = 120) in a ratio of 7:3. Cox regression and Logistic regression analyses were performed and a predictive model for postoperative early-relapse were developed. Results A total of 406 HCC patients with MVI were included in our work. Preoperative blood alpha-fetoprotein (AFP) level, hepatitis B e antigen (HBeAg) status, MVI classification, largest tumor diameter, the status of serosal invasion, number of tumors, and the status of satellite nodules were incorporated to construct a model. The concordance index (C-index) was 0.737 and 0.736 in the derivation and validation cohort, respectively. The calibration curves showed a good agreement between actual observation and nomogram prediction. The C-index of the nomogram was obviously higher than those of the two traditional HCC staging systems. Conclusion We have developed and validated a prediction model for postoperative early-relapse in HCC patient with MVI after R0 resection.https://doi.org/10.1186/s12967-021-02940-0Hepatocellular carcinomaMicrovascular invasionNomogramEarly-relapseR0 resection |
| spellingShingle | Kai Zhang Changcheng Tao Tana Siqin Jianxiong Wu Weiqi Rong Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion Journal of Translational Medicine Hepatocellular carcinoma Microvascular invasion Nomogram Early-relapse R0 resection |
| title | Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion |
| title_full | Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion |
| title_fullStr | Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion |
| title_full_unstemmed | Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion |
| title_short | Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion |
| title_sort | establishment validation and evaluation of predictive model for early relapse after r0 resection in hepatocellular carcinoma patients with microvascular invasion |
| topic | Hepatocellular carcinoma Microvascular invasion Nomogram Early-relapse R0 resection |
| url | https://doi.org/10.1186/s12967-021-02940-0 |
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