Evidence map›Paper›PMID 42292444›Full record

ArticleFrontiers in immunology2026

Immune biomarker landscape and fusion partner-phenotype associations in thoracic and head-and-neck NUT carcinoma.

Shuang Xiang, Zhuomiao Ye, Yifan Dai, Shipeng Shang, Dan Yang, Tao Cheng, Chao Deng, Minghui Zhang, Mingzhu Yin

Abstract read
In one paragraph

Article in Frontiers in immunology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shuang Xiang *Medical Pathology Center (MPC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Zhuomiao Ye *Clinical Research Center (CRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Yifan Dai *Chongqing University Three Gorges Hospital and Academy for Advanced Interdisciplinary Technology, CQU-Ferenc Krausz Nobel Laureate Scientific Workstation, Wanzhou, Chongqing, China.
Shipeng Shang *Medical Pathology Center (MPC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Dan YangCancer Early Detection and Treatment Center (CEDTC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Tao ChengChongqing University Three Gorges Hospital and Academy for Advanced Interdisciplinary Technology, CQU-Ferenc Krausz Nobel Laureate Scientific Workstation, Wanzhou, Chongqing, China.
Chao DengDepartment of Breast Surgery, Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Minghui ZhangClinical Research Center (CRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
Mingzhu YinMedical Pathology Center (MPC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thoracic and head and neck NUT carcinoma is a rare, highly aggressive NUTM1-rearranged malignancy with substantial diagnostic difficulty, marked phenotypic heterogeneity, and no established biomarker framework for immunotherapy stratification. Although fusion partners may contribute to clinicopathologic diversity, their relationship to phenotype and immune biomarkers remains insufficiently defined. Materials and methods: We performed an integrated literature-based analysis of thoracic and head and neck NUT carcinoma using English-language publications indexed in the Web of Science Core Collection from 1991 to 2025. Eligible studies were screened for clinicopathologic, fusion, and immune-biomarker data. Case-level variables were harmonized into anatomic and lineage-based strata to evaluate associations between fusion partners, phenotype, and immune features. PD-L1 status was harmonized into three descriptive categories based on author interpretation and/or reported TPS/CPS thresholds, and a binary sensitivity framework, Negative versus Any expression, was additionally applied to reduce the impact of heterogeneous assays and scoring systems. MSI and TMB were also extracted when available. Associations were assessed using two-sided Fisher's exact test with odds ratios and 95% confidence intervals. To strengthen the robustness and translational relevance of the findings, we additionally analyzed an independent retrospective institutional cohort of thoracic and head and neck NUT carcinoma. Results: The integrated clinicopathologic dataset included 229 thoracic/head and neck cases with definitive fusion annotations from 109 studies. Squamous lineage predominated (71.62%), but non-squamous and mixed phenotypes were also identified. Conclusion: This study defines the immune biomarker landscape of thoracic and head and neck NUT carcinoma within a clinicopathologic and fusion-partner framework. The predominance of PD-L1 negativity together with MSS/low-TMB features suggests a generally immunologically "cold" phenotype in most reported tumors, while exploratory fusion partner-specific enrichment patterns may help refine diagnostic suspicion and generate hypotheses for future biomarker-guided stratification. These findings provide a translational basis for rare-cancer immunobiology research and for the rational design of biomarker-integrated prospective studies.

Indexed as

Biomarkers, TumorCarcinomaHead and Neck NeoplasmsNeoplasm ProteinsNuclear ProteinsOncogene ProteinsOncogene Proteins, FusionThoracic NeoplasmsB7-H1 AntigenHumansPhenotypeB7-H1 AntigenBiomarkers, TumorCD274 protein, humanNeoplasm ProteinsNuclear ProteinsNUTM1 protein, humanOncogene ProteinsOncogene Proteins, Fusionbibliometricshead and neckNUT carcinomaNUTM1 fusionPD-L1thorax

Identifiers

PMID42292444
PMCPMC13253808

What Socratic holds

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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.