Evidence map›Paper›PMID 41766358›Full record

ArticleThe oncologist2026

Multifocality as a marker of aggressiveness in medullary thyroid carcinoma: a retrospective cohort analysis of lymph node metastasis and recurrence.

Yidan Lu, Ziyi Chen, Jing Yang, Tian Jiang, Na Feng, Jincao Yao, Di Ou, Zhiyan Jin, Liyu Chen, Chen Yang and 2 more

Abstract read
In one paragraph

Article in The oncologist, 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yidan LuDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Ziyi ChenDepartment of Ultrasound, Taizhou Cancer Hospital, Taizhou, Zhejiang 317502, China.
Jing YangDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.ORCID 0009-0009-2250-1264
Tian JiangDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Na FengDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Jincao YaoDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Di OuDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Zhiyan JinDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Liyu ChenDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Chen YangDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Dong XuDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.ORCID 0000-0002-0583-240X
Lingyan ZhouDepartment of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.ORCID 0009-0008-9808-843X

Funding

General Training Fund of Zhejiang Cancer Hospital PY2023018Medical Science and Technology Project of Zhejiang Province 2025KY721National Natural Science Foundation of China 82471990
6 · The paper itself

Abstract

backgroundThe prognostic role of multifocality in medullary thyroid carcinoma (MTC) is controversial. This study evaluated multifocality's association with aggressiveness, lymph node metastasis (LNM), and survival, focusing on multifocality-related parameters (such as number of tumor foci, tumor diameter).

methodsWe retrospectively analyzed 186 MTC cases (136 unifocal, 50 multifocal) with a median 59-month follow-up (95% CI: 52-66). Multivariate logistic analysis and Cox regression models assessed multifocality's impact on LNM and recurrence, with detailed subgroup analyses. Diagnostic performance of tumor size parameters was evaluated using receiver operating characteristic (ROC) analysis, while survival outcomes were assessed via Kaplan-Meier method.

resultsMultifocal tumors exhibited significantly more aggressive features, including: (1) higher preoperative calcitonin (1226.7 ± 751.9 vs 706.6 ± 704.2 ng/L, P < .001); (2) increased capsular invasion (68% vs 32%, odds ratio [OR] = 5.8, 95% CI: 2.32-14.53); and (3) more frequent intraglandular spread (54% vs 18%, OR = 6.05, 95% CI: 1.47-24.92). Multifocality independently predicted both LNM (OR = 3.35, 95% CI: 1.22-9.25, P = .019) and recurrence (hazard ratio [HR] = 6.59, 95% CI: 2.48-17.53, P < .001). ROC analysis identified optimal LNM cut-offs at 13.5 mm (largest focus) and 16.5 mm (total tumor diameter). Subgroup analyses revealed: (1) bifocal conferred highest LNM risk (OR = 8.51 vs unifocal, 95% CI: 1.74-41.69, P = .008); (2) recurrence risk showed dose-response relationship with lesion number (bifocal: HR = 4.89, 95% CI: 1.88-12.70, P = .001; ≥3 foci: HR = 5.86, 95% CI: 1.54-22.33, P = .01). Survival analysis demonstrated significantly worse progression-free survival in multifocal cases (P < .001), persisting beyond 2 years (P = .001), though overall survival difference was nonsignificant (P = .168).

conclusionMultifocal MTC exhibits aggressive behavior with high LNM and recurrence risks, driven by the number of tumor foci, demonstrating a dose-response relationship. These findings support incorporating multifocality into risk stratification for optimized management.

Indexed as

Carcinoma, NeuroendocrineLymphatic MetastasisNeoplasm Recurrence, LocalThyroid NeoplasmsAdultFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesRisk AssessmentThyroidectomylymph node metastasismedullary thyroid carcinomamultifocalityoverall survivalprogression-free survival

Identifiers

PMID41766358
PMCPMC12990299

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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.