Evidence map›Paper›PMID 40792145›Full record

ArticleTranslational cancer research2025

A nine-gene signature with potential targets for predicting the prognosis of patients with esophageal cancer.

Mengfei Sun, Yandi Ma, Fuqiang Zhou, Quansheng Xiang, Shangfeng He, Jie Yu, Wenjie Wang, Jingwen Qi, Yang Wang, Qi Sun and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Mengfei Sun *Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Yandi Ma *Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Fuqiang Zhou *Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Quansheng XiangDepartment of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Shangfeng HeDepartment of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Jie YuCancer Center, Department of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Wenjie WangCancer Center, Department of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Jingwen QiDepartment of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Yang WangKey Laboratory of Xinjiang Endemic and Ethnic Diseases, Ministry of Education, Shihezi University School of Medicine, Shihezi, China.
Qi SunDepartment of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Hui LiDepartment of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Yunzhao ChenCancer Center, Department of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Xiaobin CuiDepartment of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of esophageal squamous cell carcinoma (ESCC) is high and the prognosis is poor. It has become one of the important factors threatening the economic development and social stability of the region. The lack of effective early diagnostic biological indicators is the main reason for the late visit time and high mortality rate of clinical patients with ESCC. This study aims to investigate the role of long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in predicting the prognosis and survival of patients with ESCC. Methods: Prognosis-related genes were studied by analyzing RNA sequencing data of ESCC in The Cancer Genome Atlas (TCGA) database, and they were divided into a training cohort (n=83) and a test cohort (n=76). A risk score model was constructed and prognosis-related markers were verified. Results: Nine prognosis-related genes ( Conclusions: This study identified a new set of characteristics of nine prognostic genes related to ESCC, which may provide ideas for prognosis prediction and new therapeutic methods for ESCC patients.

Indexed as

Esophageal carcinomapotential targetsprognosis modelsignatureThe Cancer Genome Atlas (TCGA)

Identifiers

PMID40792145
PMCPMC12335710

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.