Evidence map›Paper›PMID 38968580›Full record

ArticleAging2024

Pan-cancer analysis of disulfidptosis with potential implications in prognosis, immune microenvironment, and drug resistance in human cancer.

Fobao Lai, Wanrong Zheng, Chengqian Zhong, Zhiyong Chen

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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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

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

4 authors.

Fobao LaiDepartment of Oncology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China.
Wanrong ZhengCollege of Medical Nursing, Minxi Vocational and Technical College, Longyan 364000, Fujian, China.
Chengqian ZhongDepartment of Digestive Endoscopy Center, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China.
Zhiyong ChenDepartment of Oncology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan 364000, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To get a systematic assessment of disulfidptosis-related genes across human cancers and explore the predictive role of disulfidptosis in cancer drug sensitivity. We developed a score-level model to quantify the level of disulfidptosis in 33 human cancers using TCGA data. The mRNA expression and protein levels of disulfidptosis-related genes in human cancer cells and tissues were detected and retrieved from the Human Protein Atlas. Multiomics bioinformatic analyses were performed to evaluate disulfidptosis-related gene characteristics as well as the effect of disulfidptosis on the cancer immune microenvironment and drug resistance. Thirty cancers showed significantly different expression levels of disulfidptosis-related genes between normal and tumor samples. The mRNA expression and protein level of disulfidptosis-related genes were consistent with TCGA databases in lung cancer and hepatocellular carcinoma. We also found that altered levels of the disulfidptosis score expression were usually related to patient prognosis, and high expression of disulfidptosis-related genes was associated with drug resistance in different cancer types. Our study illustrates the characterization of disulfidptosis in multiple cancer types and highlights its potential value as a predictive biomarker of drug response, which can pave the way for further investigation of the prognostic and therapeutic potential of disulfidptosis.

Indexed as

Drug Resistance, NeoplasmGene Expression Regulation, NeoplasticNeoplasmsTumor MicroenvironmentApoptosisBiomarkers, TumorComputational BiologyHumansPrognosisBiomarkers, Tumordisulfidptosisdrug resistancetumor immunitytumor microenvironment

Identifiers

PMID38968580
PMCPMC11272104

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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.