Evidence map›Paper›PMID 41313531›Full record

ArticleDiscover oncology2025

Systematic pan-cancer analysis of IL3RA carcinogenesis in human tumors, combined with bioinformatics analysis.

Rongyang Zou, Qiong Wu, Fang Fang, Yundi Cao

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Rongyang ZouDepartment of Thyroid and Breast Surgery, Nanjing Tianyinshan Hospital & The Affiliated Hospital of China Pharmaceutical University, No.3789 Jiyin Avenue, Nanjing, China.
Qiong WuDepartment of General Surgery, Nanjing Tianyinshan Hospital & The Affiliated Hospital of China Pharmaceutical University, No.3789 Jiyin Avenue, Nanjing, China.
Fang FangDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu, China. 13605595000@163.com.
Yundi CaoDepartment of Medical Oncology, Nanjing Tianyinshan Hospital & The Affiliated Hospital of China Pharmaceutical University, No.3789 Jiyin Avenue, Nanjing, China. cyd157518667701989@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have demonstrated the significance of IL3R in hematological malignancies. Our research has further revealed the impact of IL3RA on the biological behavior of breast cancer cells. However, there is a need for a comprehensive pan-cancer analysis to further elucidate its feasibility. We conducted a thorough analysis of the IL3RA gene's oncogenic role in 33 types of human cancers using datasets from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The expression level of IL3RA varies significantly between normal and tumor tissues of different types, and changes in its expression or genetics are closely linked to the prognosis of most cancer patients. In various cancer types, there is also a correlation between the expression of IL3RA and the level of relevant immune cell infiltration. According to the GO and KEGG results, IL3RA plays a significant biological role in regulating various signaling pathways related to the development of the vascular system, angiogenesis, and cell adhesion molecules, among other effects. In summary, the pan-cancer study on IL3RA indicates a strong correlation between the expression level of IL3RA and the onset and prognosis of certain tumors. However, further experimentation and deeper investigation into the underlying mechanisms are necessary to confirm these findings.

Indexed as

Bioinformatics analysisIL3RAImmunityPan-cancer

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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.