ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2021
A New Scoring Method for Personalized Prognostic Prediction in Patients with Combined Hepatocellular and Cholangiocarcinoma After Surgery.
Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 5 citations in OpenAlex.
- Combining Preoperative Clinical and Imaging Characteristics to Predict MVI in Hepatitis B Virus-Related Combined Hepatocellular Carcinoma and Cholangiocarcinoma.Journal of personalized medicine · 2023Article
- Tumor burden score dictates prognosis of patients with combined hepatocellular cholangiocarcinoma undergoing hepatectomy.Frontiers in oncology · 2022Article
- Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma.Journal of oncology · 2021Article
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimCombined hepatocellular and cholangiocarcinoma (cHCC-CCA) is a rare but aggressive primary liver cancer with dismal prognosis. We aim to develop a new scoring method for personalized prognostic prediction in patients with cHCC-CCA undergoing surgical resection.
methodsBetween January 1993 and December 2015, a total of 296 Allen type C cHCC-CCA patients who had received surgical resection in Liver Cancer Institute, Zhongshan Hospital were retrospectively enrolled. A novel prognostic scoring method for cHCC-CCA (PSM-CHCC model) was established and validated. The predictive value of the new model was compared with current prognostic staging systems.
resultsThe scoring model was developed based on the independent prognostic variables identified by Cox regression model. Based on the PSM-CHCC model, patients were stratified into three prognostic subgroups according to their individual score: A (scoring 0-2), B (scoring 3-5), and C (scoring > 5). The prediction performance of the PSM-CHCC model outperformed the widely accepted TNM staging system and other staging systems in both training and validation cohorts. Subgroup analysis also verified the discrimination efficacy of the PSM-CHCC model.
conclusionsThe newly established PSM-CHCC model may facilitate prognostic stratification and clinical decision-making in patients with cHCC-CCA.
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