Evidence map›Paper›PMID 41591730›Full record

ArticleJournal of endocrinological investigation2026

Predictive value of serum CCL18 for recurrence and invasiveness in pituitary neuroendocrine tumors.

Yang Jiao, Guoge Li, Kelin Chen, Chunqing Shao, Zhijun Yang, Guojun Zhang

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Article in Journal of endocrinological investigation, 2026. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yang Jiao *Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Guoge Li *Laboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kelin ChenLaboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chunqing ShaoLaboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhijun YangDepartment of Neurosurgery of Beijing Tiantan Hospital, Capital Medical University, Beijing, China. zhijunyang@ccmu.edu.cn.
Guojun ZhangLaboratory Diagnosis Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. guojun.zhang@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-4911-5784

Funding

Beijing Hospitals Authority's Ascent Plan DFL20220505Laboratory for Clinical Medicine, Capital Medical University SYJCLCSYS003
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the predictive value of serum CCL18 in the recurrence and invasiveness of pituitary neuroendocrine tumors (PitNETs). CCL18, a chemokine secreted mainly by tumor-associated macrophages, has been implicated in cancer progression, but its role in PitNETs remains unexplored.

methodA total of 463 patients with PitNETs (110 recurrent and 353 non-recurrent) who underwent surgery at Beijing Tiantan Hospital between 2020 and 2022, along with 32 healthy controls, were retrospectively analyzed. Serum CCL18 concentrations were measured by enzyme-linked immunosorbent assay (ELISA; R&D Systems, Cat# DCC180). Clinical, radiological, and pathological parameters were assessed, and subgroup analyses were performed according to recurrence and invasiveness. Statistical analyses were conducted using SPSS 26.0, and receiver operating characteristic (ROC) curves were generated with GraphPad Prism 8.0. In addition, CCL18 mRNA expression in recurrence PitNETs and non-recurrence PitNETs tissues was validated by quantitative real-time PCR (qPCR).

resultsSerum CCL18 was higher in recurrent than non-recurrent PitNETs (median: 46253 vs. 27834 pg/mL, P < 0.001) and elevated in invasive tumors. ROC analysis showed an AUC of 0.801 (95% CI: 0.752–0.850), with 84.9% sensitivity and 79.2% specificity for recurrence. CCL18 correlated with Knosp grade and Ki-67 index (P < 0.001) and remained an independent predictor in multivariate analysis. qRT-PCR revealed CCL18 mRNA was upregulated in recurrence PitNET tissues versus non-recurrence PitNETs tissues (P < 0.001), suggesting systemic elevation may reflect tumor microenvironment secretion. Recurrent invasive PitNETs had the highest CCL18 levels.

conclusionsSerum CCL18 is associated with PitNETs recurrence and invasiveness and may serve as a non-invasive biomarker. Combined tissue and serum assessment could improve risk stratification and prognostic evaluation.

Indexed as

Biomarkers, TumorChemokines, CCNeoplasm Recurrence, LocalNeuroendocrine TumorsPituitary NeoplasmsAdultCase-Control StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm InvasivenessPredictive Value of TestsPrognosisRetrospective StudiesBiomarkers, TumorCCL18 protein, humanChemokines, CCBiomarkerCCL18Diagnostic valueInvasionPituitary neuroendocrine tumorRecurrence

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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 Socratic graph.