Evidence map›Paper›PMID 38238671›Full record

ArticleBMC women's health2024

An immune-related exosome signature predicts the prognosis and immunotherapy response in ovarian cancer.

Kaibo Zhu, Jiao Ma, Yiping Tian, Qin Liu, Jun Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors at 4 institutions in 1 country.

Kaibo ZhuDepartment of Pathology, Women's Hospital School of Medicine Zhejiang University, No.3, East Qingchun Road, Shangcheng District, Hangzhou, China.
Jiao MaDepartment of Pathology, Zhejiang Hospital, Hangzhou, China.
Yiping TianDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou, China.
Qin LiuDepartment of Pathology, Women's Hospital School of Medicine Zhejiang University, No.3, East Qingchun Road, Shangcheng District, Hangzhou, China. rompliuqin@zju.edu.cn.
Jun ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, No.1, Xueshi Road, Shangcheng District, Hangzhou, China. jameszhang2000@zju.edu.cn.
Women's Hospital, School of Medicine, Zhejiang University · CNSir Run Run Shaw Hospital · CNZhejiang Cancer Hospital · CNZhejiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-derived exosomes contribute significantly in intracellular communication, particularly during tumorigenesis. Here, we aimed to identify two immune-related ovarian cancer-derived exosomes (IOCEs) subgroups in ovarian cancer (OC) and establish a prognostic model for OC patients based on immune-related IOCEs.

methodsThe Cancer Genome Atlas (TCGA) database was used to obtain RNA-seq data, as well as clinical and prognostic information. Consensus clustering analysis was performed to identify two IOCEs-associated subgroups. Kaplan-Meier analysis was used to compare the overall survival (OS) between IOCEs-high and IOCEs-low subtype. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to investigate the mechanisms and biological effects of differentially expressed genes (DEGs) between the two subtypes. Besides, an IOCE-related prognostic model of OC was constructed by Lasso regression analysis, and the signature was validated using GSE140082 as the validation set.

resultsIn total, we obtained 21 differentially expressed IOCEs in OC, and identified two IOCE-associated subgroups by consensus clustering. IOCE-low subgroup showed a favorable prognosis while IOCE-high subgroup had a higher level of immune cell infiltration and immune response. GSEA showed that pathways in cancer and immune response were mainly enriched in IOCE-high subgroup. Thus, IOCE-high subgroup may benefit more in immunotherapy treatment. In addition, we constructed a risk model based on nine IOCE-associated genes (CLDN4, AKT2, CSPG5, ALDOC, LTA4H, PSMA2, PSMA5, TCIRG1, ANO6).

conclusionWe developed a novel stratification system for OV based on IOCE signature, which could be used to estimate the prognosis as well as immunotherapy for OC patient.

Indexed as

ExosomesOvarian NeoplasmsVacuolar Proton-Translocating ATPasesCluster AnalysisFemaleHumansImmunotherapyPrognosisTCIRG1 protein, humanVacuolar Proton-Translocating ATPasesBiomarkerImmune-related ExosomeImmunotherapyOvarian CancerPrognosisTumor Microenvironment

Identifiers

PMID38238671
PMCPMC10795461
OpenAlexW4390984595

What Socratic 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 Socratic graph.