Evidence map›Paper›PMID 40302812›Full record

ArticleJournal of Cancer2025

Identification and Characterization of Oxidative Stress and Endoplasmic Reticulum Stress-Related Genes in Esophageal Cancer.

Xiaoxu Li, Juntao Lu, Yan Zhao, Wei Guo

Abstract read
In one paragraph

Article in Journal of Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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

4 authors.

Xiaoxu LiDepartment of Radiation Oncology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Juntao LuLaboratory of Pathology, Hebei Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yan ZhaoDepartment of Oncology, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Wei GuoLaboratory of Pathology, Hebei Cancer Institute, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence highlights the critical roles of oxidative stress and endoplasmic reticulum (ER) stress in tumor initiation and progression. However, the specific functions of related genes in esophageal cancer (ESCA) remain poorly understood. To investigate the impact of oxidative and ER stress on ESCA, this study analyzed the TCGA and GEO databases to identify 12 oxidative stress- and ER stress-related differentially expressed genes (OERDEGs). Pathway analysis revealed significant enrichment in critical processes such as PRC2-mediated methylation, oxidative stress-induced senescence, and NOTCH signaling. A novel LASSO regression model was developed to link gene expression with clinical prognosis, and the model was validated through ROC and Cox regression analyses. Four OERDEGs (CDKN3, PINK1, SPP1, and TFRC) were identified as key biomarkers for ESCA prognosis. Notably, TFRC expression was significantly upregulated in ESCA cells under both oxidative and ER stress conditions, in a dose- and time-dependent manner. Functional assays confirmed that TFRC promotes cell proliferation, migration, and invasion by regulating the HIF-1α and NOTCH1 signaling pathways. This study elucidates the complex interplay between oxidative/ER stress and ESCA progression and highlights the innovative application of bioinformatics to identify potential biomarkers for early diagnosis and therapeutic strategies. Targeting TFRC, in particular, may offer a novel approach to improving ESCA treatment and enhancing patient prognosis.

Indexed as

Endoplasmic reticulum stressEsophageal cancerOxidative stressTFRC

Identifiers

PMID40302812
PMCPMC12036101

What OpenQuestion 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 OpenQuestion graph.