Evidence map›Paper›PMID 37306828›Full record

ArticleDiscover oncology2023

A demonstration based on multi-omics transcriptome sequencing data revealed disulfidptosis heterogeneity within the tumor microenvironment of esophageal squamous cell carcinoma.

Fuxing Liu, Donglan Yuan, Xia Liu, Shichao Zhuo, Xinyun Liu, Haihui Sheng, Min Sha, Jun Ye, Hong Yu

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Disulfidptosis: molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

9 authors at 5 institutions in 1 country.

Fuxing Liu *Department of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Donglan Yuan *Department of Gynecology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Xia LiuDepartment of Pathology, Xuzhou Central Hospital Affiliated to Nanjing University of Chinese Medicine, Xuzhou, 221000, Jiangsu, China.
Shichao ZhuoDepartment of Pathology, Xuzhou Central Hospital Affiliated to Nanjing University of Chinese Medicine, Xuzhou, 221000, Jiangsu, China.
Xinyun LiuDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Haihui ShengDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Min ShaTranslational Medicine Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Jun YeTranslational Medicine Center, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China.
Hong YuDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, 225300, Jiangsu, China. yuhong@njmu.edu.cn.
Nanjing Medical University · CNXuzhou Central Hospital · CNNanjing University of Chinese Medicine · CNNantong University · CNTaizhou People's Hospital · CN

Funding

the Innovation Team Project Foundation of Taizhou People's Hospital CXTDB201904the Project Foundation of Taizhou School of Clinical Medicine, Nanjing Medical University TZKY20220204the Project Foundation of Taizhou School of Clinical Medicine, Nanjing Medical University TZKY20220205
6 · The paper itself

Abstract

backgroundIt is of great concern to identify prognostic signatures for the prediction and prediction of esophageal squamous cell carcinoma (ESCC), which is the lethal pathological type of malignancy.

methodBulk RNA sequencing and scRNA-seq data were retrieved from GSE53624, GSE53622, and GSE188900. Disulfidptosis-related differentially expressed genes (DEGs) were identified between disulfidptosis-high score and disulfidptosis-low score groups. Functional annotation of DEGs were analyzed by Gene Ontology (GO). Consistent clustering and co-expression modules were analyzed, and then constructed a risk score model via multivariate Cox regression analysis. Immune infiltration and immunotherapy response analyses were conducted based on risk score. qRT-PCR, colony formation assay, and flow cytometry analysis were conducted in KYSE-150 and TE-1 cell lines.

resultsSeven genes (CD96, CXCL13, IL2RG, LY96, TPK1, ACAP1, and SOX17) were selected as marker genes. CD96 and SOX17 are independent prognostic signatures for ESCC patients, with a significant correlation with infiltrated immune cells. ESCC patients had worse response to nivolumab in the high-risk group. Through cellular experiments, we found that CD96 expression was associated with apoptosis and cell cycle ESCC cells.

conclusionIn a word, the risk score based on disulfidptosis is associated with prognosis and the immune microenvironment, which may direct immunotherapy of ESCC. The key gene of risk score, namely CD96, plays a role in proliferation and apoptosis in ESCC. We offer an insight into the exploration of the genomic etiology of ESCC for its clinical management.

Indexed as

CD96DisulfidptosisEsophageal squamous cell carcinomaRisk scoreTumor microenvironment

Identifiers

PMID37306828
PMCPMC10260728
OpenAlexW4380291690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.