Evidence map›Paper›PMID 37013470›Full record

ArticleBMC cancer2023

Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer.

Kunqiao Hong, Qian Yang, Haisen Yin, Na Wei, Wei Wang, Baoping Yu

Abstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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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

21 citing papers in PubMed.

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  5. Frontiers in oncology · 2026
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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.

Kunqiao Hong *Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
Qian Yang *Department of Gastroenterology, Guizhou Provincial People's Hospital, Guiyang City, Guizhou province, China.
Haisen YinDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
Na WeiDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
Wei WangDepartment of Gastroenterology, Affiliated Hospital of Hubei, Xiangyang Central Hospital, University of Arts and Science, Hubei, China. 50248@hbuas.edu.cn.
Baoping YuDepartment of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China. yubp62@163.com.

Funding

Guizhou Provincial Science and Technology Projects QKH JC-ZK [2022]-264National Natural Science Foundation of China 81770638Science and Technology Fund of the Guizhou Provincial Health Commission gzwkj2022-049
6 · The paper itself

Abstract

backgroundAs a common malignant tumor, esophageal carcinoma (ESCA) has a low early diagnosis rate and poor prognosis. This study aimed to construct the prognostic features composed of ZNF family genes to effectively predict the prognosis of ESCA patients.

methodsThe mRNA expression matrix and clinical data were downloaded from TCGA and GEO database. Using univariate Cox analysis, lasso regression and multivariate Cox analysis, we screened six prognosis-related ZNF family genes to construct the prognostic model. We then used Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, and nomogram to evaluate the prognostic value within and across sets, separately and combined. We also validated the prognostic value of the six-gene signature using GSE53624 dataset. The different immune status was observed in the single sample Gene Set Enrichment Analysis (ssGSEA). Finally, real-time quantitative PCR was used to detect the expression of six prognostic ZNF genes in twelve pairs of ESCA and adjacent normal tissues.

resultsA six prognosis-related ZNF family genes model consisted of ZNF91, ZNF586, ZNF502, ZNF865, ZNF106 and ZNF225 was identified. Multivariable Cox regression analysis revealed that six prognosis-related ZNF family genes were independent prognostic factors for overall survival of ESCA patients in TCGA and GSE53624. Further, a prognostic nomogram including the riskScore, age, gender, T, stage was constructed, and TCGA/GSE53624-based calibration plots indicated its excellent predictive performance. Drug Sensitivity and ssGSEA analysis showed that the six genes model was closely related to immune cells infiltration and could be used as a potential predictor of chemotherapy sensitivity.

conclusionWe identified six prognosis-related ZNF family genes model of ESCA, which provide evidence for individualized prevention and treatment.

Indexed as

Esophageal NeoplasmsCalibrationDatabases, FactualHumansNomogramsPrognosisEsophageal cancerNomogramPrognosisRisk modelZNF family genes

Identifiers

PMID37013470
PMCPMC10069130

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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 OpenQuestion graph.