{"title":"个体化预后洞察：CONUT-GBRS用于胆囊癌的生存预测","authors":"Si-qi Yang, Rui-qi Zou, Yu-shi Dai, Jun-ke Wang, Wen-jie Ma, Hai-jie Hu, Fu-yu Li","doi":"10.1002/cam4.71203","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>The most suitable prognostic prediction system for gallbladder cancer (GBC) is yet to be determined. This study aims to establish a combined score integrating preoperative patients' nutritional and immune status and pathological parameters to forecast the survival outcomes following curative-intent surgery of GBC.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study included patients diagnosed with GBC based on postoperative pathological examinations. The patients underwent curative surgery at West China Hospital of Sichuan University (China) between January 2014 and December 2022. Using the controlling nutritional status (CONUT) score and gallbladder cancer predictive risk score (GBRS), we generated the CONUT-GBRS for every patient, and the patients were divided into two groups based on the optimal cutoff value. Comparisons were made between the two groups regarding clinicopathologic features and survival.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The optimal cutoff value for the CONUT-GBRS was 1.39. There were 99 and 201 individuals in the high and low CONUT-GBRS groups, respectively. Patients with high CONUT-GBRS experienced poorer overall survival and disease-free survival compared with those with low CONUT-GBRS, even after propensity score matching analysis. Both univariate and multivariate Cox analyses established that CONUT-GBRS stood as an independent prognostic factor for GBC patients. Subgroup analysis indicated that CONUT-GBRS was also an effective predictor of prognosis in patients with incidental GBC.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The CONUT-GBRS serves as an advantageous, straightforward, and cost-effective prognostic tool for GBC, offering valuable prognostic insights and guiding the tailoring of individualized treatment strategies to improve patient outcomes.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 18","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71203","citationCount":"0","resultStr":"{\"title\":\"Individualized Prognostic Insights: CONUT-GBRS for Survival Prediction in Gallbladder Cancer\",\"authors\":\"Si-qi Yang, Rui-qi Zou, Yu-shi Dai, Jun-ke Wang, Wen-jie Ma, Hai-jie Hu, Fu-yu Li\",\"doi\":\"10.1002/cam4.71203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>The most suitable prognostic prediction system for gallbladder cancer (GBC) is yet to be determined. This study aims to establish a combined score integrating preoperative patients' nutritional and immune status and pathological parameters to forecast the survival outcomes following curative-intent surgery of GBC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This retrospective study included patients diagnosed with GBC based on postoperative pathological examinations. The patients underwent curative surgery at West China Hospital of Sichuan University (China) between January 2014 and December 2022. Using the controlling nutritional status (CONUT) score and gallbladder cancer predictive risk score (GBRS), we generated the CONUT-GBRS for every patient, and the patients were divided into two groups based on the optimal cutoff value. Comparisons were made between the two groups regarding clinicopathologic features and survival.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The optimal cutoff value for the CONUT-GBRS was 1.39. There were 99 and 201 individuals in the high and low CONUT-GBRS groups, respectively. Patients with high CONUT-GBRS experienced poorer overall survival and disease-free survival compared with those with low CONUT-GBRS, even after propensity score matching analysis. Both univariate and multivariate Cox analyses established that CONUT-GBRS stood as an independent prognostic factor for GBC patients. Subgroup analysis indicated that CONUT-GBRS was also an effective predictor of prognosis in patients with incidental GBC.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The CONUT-GBRS serves as an advantageous, straightforward, and cost-effective prognostic tool for GBC, offering valuable prognostic insights and guiding the tailoring of individualized treatment strategies to improve patient outcomes.</p>\\n </section>\\n </div>\",\"PeriodicalId\":139,\"journal\":{\"name\":\"Cancer Medicine\",\"volume\":\"14 18\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71203\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71203\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71203","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Individualized Prognostic Insights: CONUT-GBRS for Survival Prediction in Gallbladder Cancer
Background
The most suitable prognostic prediction system for gallbladder cancer (GBC) is yet to be determined. This study aims to establish a combined score integrating preoperative patients' nutritional and immune status and pathological parameters to forecast the survival outcomes following curative-intent surgery of GBC.
Methods
This retrospective study included patients diagnosed with GBC based on postoperative pathological examinations. The patients underwent curative surgery at West China Hospital of Sichuan University (China) between January 2014 and December 2022. Using the controlling nutritional status (CONUT) score and gallbladder cancer predictive risk score (GBRS), we generated the CONUT-GBRS for every patient, and the patients were divided into two groups based on the optimal cutoff value. Comparisons were made between the two groups regarding clinicopathologic features and survival.
Results
The optimal cutoff value for the CONUT-GBRS was 1.39. There were 99 and 201 individuals in the high and low CONUT-GBRS groups, respectively. Patients with high CONUT-GBRS experienced poorer overall survival and disease-free survival compared with those with low CONUT-GBRS, even after propensity score matching analysis. Both univariate and multivariate Cox analyses established that CONUT-GBRS stood as an independent prognostic factor for GBC patients. Subgroup analysis indicated that CONUT-GBRS was also an effective predictor of prognosis in patients with incidental GBC.
Conclusion
The CONUT-GBRS serves as an advantageous, straightforward, and cost-effective prognostic tool for GBC, offering valuable prognostic insights and guiding the tailoring of individualized treatment strategies to improve patient outcomes.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
