Evidence map›Paper›PMID 38030392›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Identification of characteristics and construction of nomogram to predict the survival probability of mesonephric carcinoma patients: A population-based analysis and a case report.

Zhuoran Li, Dongyu Liu, Wenlong Wei, Zhisheng Huang, Yuzhen Mo, Haowei Huang

Abstract readCase Reports
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Zhuoran LiDepartment of Radiotherapy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0002-5236-1575
Dongyu LiuDepartment of Radiotherapy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China.
Wenlong WeiDepartment of Burns and Plastic Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China.
Zhisheng HuangDepartment of Rehabilitation, Guangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou, Guangdong, China.
Yuzhen MoDepartment of Radiotherapy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0001-7566-4328
Haowei HuangDepartment of Radiotherapy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong, China.ORCID 0000-0002-8029-1981

Funding

Guangzhou Health Science and Technology project 20221A010014Guangzhou Health Science and Technology project 20241A011022Guangzhou Science and Technology Bureau Program 202201010806The Huadu District Science and Technology Plan Project 21-HDWS-066the Project of Guangdong Medical Science and Technology Research A2023469
6 · The paper itself

Abstract

backgroundMesonephric carcinoma (MC) is a very rare tumor with less than 70 cases had been reported. The rarity of MC has restricted its research, resulting in the lack of published guidelines.

objectiveTo summarize the characteristics and construct an external-validated nomogram to predict the survival of MC patients.

methodSixty-four qualified patients derived from the Surveillance, Epidemiology, and End Results Plus database, and one patient from the Guangzhou Red Cross Hospital were enrolled. The entire cohort was randomly divided into a development (70%) and a validation cohort (30%). The Kaplan-Meier method and univariate and multivariate Cox regression analyses were applied. Two nomograms were established to predict the 3-to-8-year survival probability of MC patients, which were evaluated by C-index, ROC curves, DCA curves, and calibration plots.

resultsThe average survival time of MC patients was 84.22 ± 50.66 months. No significant difference was shown among different groups of race, primary site, tumor differentiated grade, and FIGO stages, while different SEER stages did distinguish patients' survival time, which indicated that the SEER stage standards might be a better staging system in the MC patients than FIGO stage (p = .0835). Additional survival analyses showed that MC patients benefited from shorter waiting times to begin treatment, accepting surgery, regional lymph node examination, radiotherapy, and chemotherapy. Two nomograms were established, both of which got satisfied scores in C-index, ROC curves, DCA curves, and calibration plots.

conclusionSufficient regional lymph nodes examined, and applying radiotherapy in high-risk patients are recommended in MC patients. Nomograms established in the present study had good predicting and discriminating capabilities, which would be helpful in patients' individual risk estimation, management, counseling, and follow-up.

Indexed as

CarcinomaNomogramsDatabases, FactualHumansLymph Nodesmesonephric carcinomanomogramrare tumorSEER stagesurvival

Identifiers

PMID38030392
PMCPMC10809193

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