Evidence map›Paper›PMID 39166607›Full record

ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2024

SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer.

Yiqi Zhang, Ang Zheng, Yue Shi, Heng Lu

Abstract read
In one paragraph

Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Yiqi ZhangDepartment of Surgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.ORCID http://orcid.org/0009-0009-3225-413X
Ang ZhengDepartment of Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.ORCID http://orcid.org/0000-0003-1078-6660
Yue ShiDepartment of Surgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.ORCID http://orcid.org/0009-0008-5017-1023
Heng LuDepartment of Surgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.ORCID http://orcid.org/0000-0001-9775-7824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small nucleolar RNAs (snoRNAs) have robust potential functions and therapeutic value in breast cancer. Herein, we investigated the role SNORA5A in breast cancer. Samples from The Cancer Genome Atlas (TCGA) were reviewed. The transcription matrix and clinical information were analyzed using R software and validated in clinical tissue samples. SNORA5A was significantly down-regulated in breast cancer, and high expression of SNORA5A correlated with a favorable prognosis. High expression of SNORA5A induced a high concentration of tumor-associated macrophages M1 and a low concentration of tumor-associated macrophages M2. Moreover, SNORA5A were clustered in terms related to cancer and immune functions. Possible downstream molecules of SNORA5A were identified, among which TRAF3IP3 was positively correlated with M1 and negatively correlated with M2. The function of TRAF3IP3 in tumor inhibition and its relationship with macrophages in clinical tissue samples were in accordance with bioinformatics analysis results. SNORA5A could regulate macrophage phenotypes through TRAF3IP3 and serves as a potential prognostic marker for breast cancer patients.

Indexed as

Breast NeoplasmsPhenotypeTumor-Associated MacrophagesBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, Tumor

Identifiers

PMID39166607
PMCPMC11338549

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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.