Evidence map›Paper›PMID 40386563›Full record

ArticleFrontiers in oncology2025

PIGR predicts good clinical outcomes and plays a tumor suppressor role in the development of breast cancer.

Tengfei Jiang, Zhi Sun, Ke Dong, Qian Pu, Haidong Gao, Yanrong Lv, Peng Li, Guanghui Zhao

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

8 authors.

Tengfei Jiang *Medical Laboratory Center, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.
Zhi Sun *Cheeloo College of Medicine, Shandong University, Jinan, China.
Ke DongDepartment of Breast Surgery, Qilu Hospital (Qingdao), Qingdao, China.
Qian PuDepartment of Breast Surgery, Qilu Hospital (Qingdao), Qingdao, China.
Haidong GaoCheeloo College of Medicine, Shandong University, Jinan, China.
Yanrong LvDepartment of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China.
Peng LiDepartment of Breast Surgery, Qilu Hospital (Qingdao), Qingdao, China.
Guanghui ZhaoDepartment of Laboratory Medicine, Peking University People's Hospital, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Breast cancer (BRCA) is a phenotypically and functionally heterogeneous disease. New biomarkers or therapeutic targets must be discovered to improve treatment effects. The polymeric immunoglobulin receptor (PIGR) plays an anti-cancer role in various human malignancies. This study aimed to explore the prognostic significance and possible function of PIGR in BRCA. Methods: Data from TCGA and GEO, and methods such as logistic regression analysis, Kaplan-Meier survival analysis, multivariate Cox analysis, GO, KEGG, and GSEA were employed to detect the effects of PIGR on BRCA bioinformatically. RT-qPCR, Western blot analysis, and immunohistochemistry were used to validate the expression of PIGR in BRCA. The effects of PIGR on BRCA were also detected Results: The expression level of PIGR was down-regulated in BRCA tissues. CCK-8 proliferation and colony formation assay demonstrated that overexpression of PIGR could inhibit breast cancer cell proliferation, clone formation, and migration. Conclusions: PIGR can suppress breast cancer cell growth

Indexed as

bioinformatics analysisbreast cancerpIgRprognosisproliferation and metastasis

Identifiers

PMID40386563
PMCPMC12081344

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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.