Evidence map›Paper›PMID 40400969›Full record

ArticleJournal of thoracic disease2025

Construction of a multigenic diagnostic, prognostic, and immune infiltration model with methylation-associated regulators in esophageal squamous cell carcinoma.

Xing Liu, Feng Shen, Ting Wang, Jingru Li, Xiaowei Sheng, Yulan Deng, Xuewei Zhang, Bing Zhao, Ying Zhou, Peng Shang and 6 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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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0cells of the map it votes in
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 authors.

Xing LiuDepartment of Oncology, Ankang Central Hospital, Ankang, China.
Feng ShenDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Ting WangDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Jingru LiDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Xiaowei ShengDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Yulan DengDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Xuewei ZhangDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Bing ZhaoDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Ying ZhouDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Peng ShangDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Xinyi ShiDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.
Zilong ZhaoDepartment of Pathology, Ankang Central Hospital, Ankang, China.
Zhonglin YuDepartment of Thoracic Surgery, Ankang Central Hospital, Ankang, China.
Sarbajit MukherjeeDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Anwaar SaeedDivision of Hematology & Oncology, Department of Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA.
Jing LiuDepartment of Clinical Laboratory, Ankang Central Hospital, Ankang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methylation-related regulators may be involved in the prognostic prediction of esophageal squamous cell carcinoma (ESCC). Our study aimed to apply bioinformatics to screen methylation-related regulators for the construction of a prognostic model for patients with ESCC and to assess their diagnostic value and correlation with immune infiltration. Methods: Prognosis-related genes were identified from The Cancer Genome Atlas (TCGA) database. Methylation-associated genes were filtered using the GeneCards database. We used the least absolute shrinkage and selection operator (LASSO) and Cox proportional hazards regression to identify the prognostic indicators. We applied the single-sample gene set enrichment analysis (ssGSEA) to clarify the relationship between prognostic indicators and immune infiltration in patients with ESCC (n=82). Results: We constructed a prognostic model using methylation-related regulators homocysteine-inducible ER protein with ubiquitin-like domain 1 ( Conclusions: Our prognostic model, built with the methylation-related regulators

Indexed as

diagnosisEsophageal squamous cell carcinoma (ESCC)immune infiltrationmethylationprognosis

Identifiers

PMID40400969
PMCPMC12090105

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.