Evidence map›Paper›PMID 40265174›Full record

ArticleClinical and experimental gastroenterology2025

A CDKN2B-Associated Immune Prognostic Model for Predicting Immune Cell Infiltration and Prognosis in Esophageal Carcinoma.

Xiulan Peng, Juping Han, Juan Huang, Longshu Zhou, Xianzhe Chen, Wen Zhou

Abstract read
In one paragraph

Article in Clinical and experimental gastroenterology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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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.

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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

6 authors.

Xiulan Peng *Department of Oncology, The Second Affiliated Hospital of Jianghan University, Wuhan, Hubei, 430000, People's Republic of China.ORCID 0000-0001-8336-4253
Juping Han *Department of Gastroenterology, The Second Affiliated Hospital of Jianghan University, Wuhan, Hubei, 430000, People's Republic of China.
Juan Huang *Department of Oncology, The Second Affiliated Hospital of Jianghan University, Wuhan, Hubei, 430000, People's Republic of China.
Longshu Zhou *Department of Cardiothoracic Surgery, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, People's Republic of China.
Xianzhe Chen *Department of Sixin Street Health Service Centre, The Second Affiliated Hospital of Jianghan University, Wuhan, Hubei, 430000, People's Republic of China.
Wen ZhouDepartment of Otolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430022, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Studies have indicated that cyclin dependent protein kinase inhibitor 2B (CDKN2B) deletion is one of the most common changes in esophageal cancer (EC) which affects its progression and prognosis. This study explored the association between CDKN2B deletion, immunophenotype, and the prognosis of EC. Methods: We investigated CDKN2B status and RNA expression, identified differentially expressed immune-associated genes between wild-type CDKN2B (CDKN2B Results: CDKN2B deletion leads to downregulation of the immune response in EC. A total of 136 immune-associated genes were identified based on the CDKN2B deletion status, and three genes with remarkable potential as individual targets were selected for model construction. An IPM was developed and validated, it showed good performance in differentiating patients with a low or high risk of poor prognosis, and its predictive ability was independent of traditional clinical features. High-risk patients with EC had increased T follicular helper cells (Tfh) and M0 macrophages, and lower infiltration levels of resting CD4 memory T cells resting, and naive B cells. The nomogram developed for clinical application showed good predictive performance. Conclusions: Our results suggested that CDKN2B deletion was associated with the survival and immune microenvironment in EC. IPM is not only an effective indicator of the immune response and prognosis, but also suggest potential targets for immunotherapy in patients with EC.

Indexed as

cyclin dependent protein kinase inhibitor 2Besophageal carcinomaimmune prognostic modelprognosistumor immunity

Identifiers

PMID40265174
PMCPMC12013638

What Socratic holds

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Registered trials

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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.