Evidence map›Paper›PMID 37900961›Full record

ArticleOpen medicine (Warsaw, Poland)2023

Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma.

Xiao-Min Li, Shan-Peng Liu, Dan-Man Liu, Yu Li, Xiao-Ming Cai, Yun Su, Ze-Feng Xie

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2023. 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
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Disulfidptosis: molecular mechanisms and therapeutic targets.Signal transduction and targeted therapy · 2026
    Review
  2. Article
  3. Article
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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

7 authors at 5 institutions in 1 country.

Xiao-Min LiThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Shan-Peng LiuLaboratory of Brain Disorders, Ministry of Science and Technology, Joint Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.
Dan-Man LiuBreast Surgery Clinics, Guangdong Province Women and Children Hospital, Guangzhou, China.
Yu LiThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xiao-Ming CaiThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Yun SuDepartment of Microbiology & Immunology, Shantou University Medical College, 22 Xinling Road, Shantou 515041, Guangdong, China.
Ze-Feng XieThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Shantou University · CNCapital Medical University · CNFirst Affiliated Hospital of Shantou University Medical College · CNGuangdong Province Women and Children Hospital · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower-grade glioma (LGG), a prevalent malignant tumor in the central nervous system, requires accurate prediction and treatment to prevent aggressive progression. We aimed to explore the role of disulfidptosis-related genes (DRGs) in LGG, a recently discovered form of programmed cell death characterized by abnormal disulfide accumulation. Leveraging public databases, we analyzed 532 LGG tumor tissues (The Cancer Genome Atlas), 1,157 normal samples (Genotype-Tissue Expression), and 21 LGG tumor samples with 8 paired normal samples (GSE16011). Our research uncovered intricate relationships between DRGs and crucial aspects of LGG, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we identified significant heterogeneity among disulfidptosis sub-clusters and elucidated specific differential gene expression in LGG, with myeloid cell leukemia-1 (MCL1) as a key candidate. Machine learning techniques validated the relevance of MCL1, considering its expression patterns, prognostic value, diagnostic potential, and impact on immune infiltration. Our study offers opportunities and challenges to unravel potential mechanisms underlying LGG prognosis, paving the way for personalized cancer care and innovative immunotherapeutic strategies. By shedding light on DRGs, particularly MCL1, we enhance understanding and management of LGG.

Indexed as

disulfidptosisimmune infiltrationlower-grade gliomamachine learningMCL1

Identifiers

PMID37900961
PMCPMC10612529
OpenAlexW4387960789

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.