Evidence map›Paper›PMID 42870800›Full record

ArticleTranslational cancer research2026

Survival and treatment selection in NUT carcinoma: a population-based study and propensity score-matched comparison with poorly differentiated head and neck squamous cell carcinoma.

Guoliang Yang, Tingyao Ma, Yixin Jing, Yiming Ding, Xiaohong Chen, Zhigang Huang

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Article in Translational cancer research, 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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2 · The registry

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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.

Guoliang YangDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-6349-9502
Tingyao MaDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yixin JingDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yiming DingDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xiaohong ChenDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Zhigang HuangDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: NUT carcinoma (NC) is a rare and highly aggressive malignancy that can arise in the head and neck, thorax, and other organs. Large population-based studies remain limited, and survival comparisons with poorly differentiated head and neck squamous cell carcinoma (HNSCC), a common histologic mimic, have not been adequately controlled for baseline clinical imbalance. This study aimed to characterize survival and prognostic factors in NC and to compare survival between head and neck NC and poorly differentiated HNSCC after balancing baseline characteristics. Methods: In this retrospective population-based cohort study, primary NC diagnosed from 2018 to 2023 was identified from the Surveillance, Epidemiology, and End Results (SEER) database. Overall survival (OS) was analyzed with Kaplan-Meier and Cox models. Landmark analyses and time-dependent Cox modeling assessed treatment-timing bias. Head and neck NC was compared with poorly differentiated HNSCC using propensity score matching (PSM). Results: There were 91 NC patients included, 39 with head and neck disease. After excluding cases with missing matching covariates, 36 head and neck NC cases and 7,633 HNSCC comparators were included in propensity-score analyses. In NC, 61 patients (67.0%) died and median OS was 8 months. Older age, non-head and neck site, distant stage, M1 disease, and larger tumor size were associated with worse OS. In conventional multivariable Cox models, surgery, chemotherapy, and radiotherapy were associated with improved OS. After incorporating landmark and time-dependent approaches, chemotherapy was no longer robust, whereas radiotherapy, surgery, overall treatment status, and stage remained relevant depending on the analytic framework. Before matching, head and neck NC had worse OS than HNSCC; this association was attenuated after balancing measured clinical variables. Conclusions: NC has poor population-based survival, with stage and treatment status as major survival-related factors. The observed survival disadvantage of head and neck NC relative to poorly differentiated HNSCC was attenuated after matching for measured clinical characteristics, but the imprecision of the matched estimates precludes conclusions of prognostic equivalence or exclusion of a clinically important difference.

Indexed as

head and neck squamous cell carcinoma (HNSCC)NUT carcinoma (NC)NUTM1prognostic factorpropensity score matching (PSM)

Identifiers

PMID42870800
PMCPMC13657811

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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.