Evidence map›Paper›PMID 40317696›Full record

ArticleCancer medicine2025

Prognostic Differences and Survival Predictive Models for Mucinous Versus Usual-Type Adenocarcinoma of the Uterine Cervix.

Yaxin Kang, Lele Chang, Jing Liu, Haizhou Ji, Qin Xu

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Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Yaxin KangDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
Lele ChangDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
Jing LiuDepartments of Gynecology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
Haizhou JiDepartments of Gynecology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.ORCID https://orcid.org/0009-0003-9603-3068
Qin XuDepartments of Gynecology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.ORCID https://orcid.org/0000-0002-3689-0266

Funding

Fujian Cancer Hospital High-Level Talent Training Program 2024YNG09Fujian Medical University 2020QH1233Joint Funds for the innovation of science and Technology, Fujian province 2023Y9449Joint Funds for the innovation of science and Technology, Fujian province 2023Y9451Joint Funds for the National Clinical Key Specialty Construction Program 2021Natural Science Foundation of Fujian Province 2023J011273
6 · The paper itself

Abstract

backgroundThere is significant histological heterogeneity between the endocervical adenocarcinoma (EA) subtypes. Usual-type carcinoma (adenocarcinoma) and mucinous carcinoma (mucinous adenocarcinoma, MA) are the most common types of EA.

methodsDemographic and clinical variables were collected from the SEER database for selected patients between 2004 and 2021. The effect of confounding variables was reduced by propensity score matching (PSM). Survival data were analyzed using the Kaplan-Meier method and Cox regression models. A risk prediction model nomogram for MA was developed and validated.

resultsThe median age for MA patients was 46 years compared to 45 years for adenocarcinoma (p = 0.021). The 1-, 3-, and 5-year overall survival (OS) rates for MA were 88.2%, 74.5%, and 68.4%, respectively, significantly lower than those for adenocarcinoma (89.0%, 79.0%, and 74.9%, p < 0.0001). Cancer-specific survival (CSS) showed a similar trend (p < 0.0001). Seven variables, including age, primary site, T, N, combined stage, surgery, and chemotherapy, were selected to create the nomograms for predicting OS, while age, primary site, tumor size, T, N, combined stage, and surgery were selected for CSS. The validations of all predictive models were satisfactory.

conclusionThis study revealed MA's poorer prognosis compared to adenocarcinoma using the SEER database. It developed predictive models for OS and CSS of MA, offering a more accurate prognosis assessment tool for clinical practice.

Indexed as

AdenocarcinomaAdenocarcinoma, MucinousUterine Cervical NeoplasmsAdultAgedFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm StagingNomogramsPrognosisSEER ProgramSurvival Rateadenocarcinomamucinous adenocarcinomarisk prediction modelSEER databasesurvival analyses

Identifiers

PMID40317696
PMCPMC12048391

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.