Evidence map›Paper›PMID 36330486›Full record

ArticleFrontiers in oncology2022

Insulin-like growth factor 2 receptor is a key immune-related gene that is correlated with a poor prognosis in patients with triple-negative breast cancer: A bioinformatics analysis.

Ying Zhong, Xinyu Ren, Xi Cao, Yali Xu, Yu Song, Yidong Zhou, Feng Mao, Songjie Shen, Zhe Wang, Qiang Sun

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

10 authors.

Ying ZhongDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Xinyu RenDepartment of Pathology, Peking Union Medical College Hospital, Beijing, China.
Xi CaoDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Yali XuDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Yu SongDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Yidong ZhouDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Feng MaoDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Songjie ShenDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Zhe WangDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Qiang SunDepartment of Breast Disease, Peking Union Medical College Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunotherapy plays an important role in the treatment of triple-negative breast cancer (TNBC). This study aimed to identify immune-related genes that are associated with the prognosis of patients with TNBC as possible targets of immunotherapy, alongside their related tumor-infiltrating lymphocytes (TILs). Methods: The clinical data and gene expression profiles of patients with breast cancer were extracted from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and divided into training (n = 1,053) and verification (n = 508) groups. CIBERSORT was used to predict the differences in immune cell infiltration in patient subsets that were stratified according to risk. Gene Ontology (GO) enrichment analysis was used to identify pathways associated with immune-related genes in patient subsets that were stratified according to risk. The clinical data and insulin-like growth factor 2 receptor (IGF2R) expression profiles of patients with breast cancer were extracted from METABRIC. The expression of IGF2R and TILs were evaluated in a cohort containing 282 untreated patients with TNBC. The correlations of IGF2R expression, TILs, and clinicopathological parameters with patient prognosis were analyzed in the whole cohort. Results: The prognostic model, which was composed of 26 immune-related gene pairs, significantly distinguished between high- and low-risk patients. Univariate and multivariate analyses indicated that the model was an independent prognostic factor for breast cancer. Among the identified genes, the expression of IGF2R significantly distinguished between high- and low-risk patients in TCGA ( Conclusion: IGF2R can be used as an indicator of a poor prognosis in patients with TNBC and as a potential target and research direction for TNBC immunotherapy in the future.

Indexed as

CD8+ TILsIGF2Rpoor prognosisTIL (tumor infiltrating lymphocytes)triple negative breast cancer

Identifiers

PMID36330486
PMCPMC9624382

What Socratic holds

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Registered trials

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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 Socratic graph.