Evidence map›Paper›PMID 41390546›Full record

ArticleScientific reports2025

Correlation between serum endocrine hormone levels and malignancy degree of prolactinoma and their predictive value for patient prognosis.

Peimin Yu, Yin Ren, Bao Feng, Yi Yu, Pengjin Mei, Yufu Zhu

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Article in Scientific reports, 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

6 authors.

Peimin YuFirst Clinical Medical College of Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
Yin RenFirst Clinical Medical College of Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
Bao FengFirst Clinical Medical College of Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
Yi YuFirst Clinical Medical College of Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China.
Pengjin MeiDepartment of Neurosurgery, Affiliated Hospital of Xuzhou Medical University, No.99 Huaihai Xi Road, Xuzhou, 221002, China. 5074682@qq.com.
Yufu ZhuFirst Clinical Medical College of Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, China. fugle99@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the correlation between serum endocrine hormone levels and the malignancy degree of prolactinomas, and analyze their predictive value for patient prognosis. A total of 100 prolactinoma patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2024 were enrolled. Based on tumor invasiveness, patients were divided into benign (n = 74) and malignant (n = 26) groups. Serum endocrine hormone levels were compared between groups. Pearson's test analyzed correlations between hormone levels and tumor malignancy. According to new metastases, recurrence, or death during follow-up, patients were classified into good prognosis (n = 69) and poor prognosis (n = 31) groups. Multivariate logistic regression identified factors influencing poor prognosis. Restricted cubic spline analysis evaluated dose-response relationships between hormone levels and poor prognosis risk. A nomogram model was constructed and its predictive performance evaluated. The malignant group showed significantly higher serum prolactin (PRL) levels but lower free thyroxine (fT4) levels than the benign group (P < 0.001). Serum PRL positively correlated with tumor malignancy (r = 0.460, P < 0.001), while fT4 showed negative correlation (r= - 0.453, P < 0.001). Multivariate analysis revealed giant tumor type and elevated PRL as risk factors for poor prognosis, whereas pseudocapsule presence and increased fT4 were protective factors (P < 0.05). Nonlinear relationships existed between poor prognosis risk and PRL/fT4 levels (Pnonlinear < 0.05). In the nomogram model, all four factors had variance inflation factors (VIF) < 5 (1.043-1.091). The model's ROC curve area was 0.888, and Hosmer-Lemeshow test confirmed good accuracy (χ

Indexed as

Pituitary NeoplasmsProlactinProlactinomaThyroxineAdolescentAdultBiomarkers, TumorFemaleHumansMaleMiddle AgedNomogramsPrognosisYoung AdultBiomarkers, TumorProlactinThyroxineEndocrine hormonesMalignancy degreeNomogram modelPrognosisProlactinoma

Identifiers

PMID41390546
PMCPMC12800215

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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.