Evidence map›Paper›PMID 38127899›Full record

ArticlePloS one2023

Molecular and clinical characterization of ICOS expression in breast cancer through large-scale transcriptome data.

Peng Wang, Qin Zhang, Hengle Zhang, Jianqiang Shao, Hui Zhang, Zunyi Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
1.4field-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. Review
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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

6 authors at 2 institutions in 1 country.

Peng WangThyroid and Breast Department III, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.
Qin ZhangThyroid and Breast Department III, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.
Hengle ZhangHebei Medical University, Shijiazhuang, Hebei Province, China.
Jianqiang ShaoThyroid and Breast Department III, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.
Hui ZhangThyroid and Breast Department III, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.
Zunyi WangThyroid and Breast Department III, Cangzhou Central Hospital, Cangzhou, Hebei Province, China.ORCID 0000-0002-0406-4664
Cangzhou Central Hospital · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ICOS (Inducible T Cell Costimulator), one of the co-stimulatory B7 superfamily members, was characterized as a co-stimulatory receptor for T-cell enhancement. However, the role of ICOS in breast cancer remains largely unknown. The present study systematically investigated the expression pattern and its relation to clinical characteristics and immunotherapy by integrating multiple clinical cohorts and large-scale gene expression data. This study included 2994 breast tumor samples with transcriptome data and matched clinical data. To make our findings more reliable, we set the TCGA cohort as the discovery set and the METABRIC cohort as the validation set. The expression of ICOS in breast cancer is strongly associated with major clinical and molecular characteristics. There is an association between higher ICOS expression and malignant subtypes and grades of tumors. In addition, gene ontology analysis based on genes significantly correlated with ICOS expression indicated that the expression of ICOS is mainly associated with immune responses and inflammation. We also observed strong correlations between ICOS and other promising immune-checkpoint molecules, including PD1, PDL1, CTLA4, and IDO1. Furthermore, we found that ICOS expression is associated with the response to anti-PDL1 immunotherapy and may serve as a biomarker for immunotherapy prediction. Our results indicated higher ICOS expression is significantly associated with favorable survival in triple-negative breast cancer (TNBC) patients, but not for all subtypes of breast cancer patients. In summary, ICOS correlates with higher malignant breast cancers, and it contributes to the regulation of the immune microenvironment of breast tumors, making it a potential biomarker and immunotherapy target.

Indexed as

TranscriptomeTriple Negative Breast NeoplasmsHumansImmunotherapyInducible T-Cell Co-Stimulator ProteinT-LymphocytesTumor MicroenvironmentICOS protein, humanInducible T-Cell Co-Stimulator Protein

Identifiers

PMID38127899
PMCPMC10734928
OpenAlexW4390062708

What Socratic holds

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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.