Evidence map›Paper›PMID 30988805›Full record

ArticleOncology letters2019

A four-gene signature for prognosis in breast cancer patients with hypermethylated IL15RA.

Hui Yang, Li Zhou, Jianhua Chen, Jiang Su, Wei Shen, Biao Liu, Jundong Zhou, Shiyou Yu, Jun Qian

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Journal of oncology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

9 authors at 2 institutions in 1 country.

Hui YangDepartment of Medical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Li ZhouDepartment of Medical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Jianhua ChenDepartment of Surgical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Jiang SuDepartment of Surgical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Wei ShenDepartment of Surgical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Biao LiuDepartment of Pathology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Jundong ZhouDepartment of Radiotherapy, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Shiyou YuDepartment of Surgical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Jun QianDepartment of Medical Oncology, Nanjing Medical University Suzhou Hospital, Suzhou Cancer Center, Suzhou, Jiangsu 215001, P.R. China.
Nanjing Medical University · CNSuzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have revealed that upregulation of interleukin 15 receptor α (IL15RA) contributes to improved prognosis of breast cancer. The present study aimed to elucidate the molecular mechanisms underlying the antitumor effect induced by IL15RA upregulation, and to identify a gene signature capable of predicting the survival of patients with breast cancer. Using paired gene expression and methylation data of breast cancer samples from The Cancer Genome Atlas data portal, differentially expressed genes (DEGs) were identified in hypermethylated and hypomethylated IL15RA breast cancer samples. Furthermore, a gene signature-based risk-scoring model was developed according to the Cox regression coefficients of survival-associated DEGS. The gene signature was applied to classify patients with breast cancer and hypermethylated IL15RA into two risk groups via Kaplan-Meier survival analysis of overall survival (OS) time. Functional enrichment analysis was conducted to decipher the biological roles of the DEGs between the two risk groups. A total of 326 DEGs were present in the hypomethylation and hypermethylation samples compared with in the normal samples. A four-gene signature [SH3 and cysteine rich domain 2 (

Indexed as

Gene Ontologyhypermethylationpathwayrisk scoresurvival

Identifiers

PMID30988805
PMCPMC6447940
OpenAlexW2922368060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.