Evidence map›Paper›PMID 40090984›Full record

ArticleDiscover oncology2025

The SLC26A4-AS1/NTRK2 axis in breast cancer: insights into the ceRNA network and implications for prognosis and immune microenvironment.

Mengqiu Lan, Shuang Qin, Jingjing Wei, Lihong Wu, Zhenni Lu, Wenjie Huang

Abstract read
In one paragraph

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

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

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

6 authors.

Mengqiu LanLiuzhou Municipal Liutie Central Hospital, Liuzhou, 545007, Guangxi, China.
Shuang QinLiuzhou Municipal Liutie Central Hospital, Liuzhou, 545007, Guangxi, China.
Jingjing WeiLiuzhou Municipal Liutie Central Hospital, Liuzhou, 545007, Guangxi, China.
Lihong WuLiuzhou Municipal Liutie Central Hospital, Liuzhou, 545007, Guangxi, China.
Zhenni LuLiuzhou Municipal Liutie Central Hospital, Liuzhou, 545007, Guangxi, China.
Wenjie HuangDepartment of Reproductive Medicine, Guangzhou Women and Children'S Medical Center Liuzhou Hospital, Liuzhou, 545616, Guangxi, China. a17377552242@163.com.

Funding

Self-funded by the Health Commission of Guangxi Zhuang autonomous Region Z20200704Self-funded by the Health Commission of Guangxi Zhuang autonomous Region Z20200841Self-funded by the Health Commission of Guangxi Zhuang autonomous Region Z20210585
6 · The paper itself

Abstract

Breast cancer is a leading malignancy in women, with mortality disparities between developed and underdeveloped regions. Accumulating evidence suggests that the competitive endogenous RNA (ceRNA) regulatory networks play paramount roles in various human cancers. However, the complexity and behavior characteristics of the ceRNA network in breast cancer progression have not been fully elucidated. The expression profiles of three RNAs (long non-coding RNAs [lncRNAs], microRNAs [miRNAs], and mRNAs) were extracted from breast cancer and adjacent samples were sourced from the TCGA database. The SLC26A4-AS1- hsa-miR-19a-3p-NTRK2 ceRNA network related to the prognosis of breast cancer was obtained by performing bioinformatics analysis. Importantly, we identified the SLC26A4-AS1/NTRK2 axis within the ceRNA network through correlation analysis and found it to be a potential prognostic model in clinical outcomes based on Cox regression analysis. Moreover, methylation analysis suggests that the aberrant downregulation of the SLC26A4-AS1/NTRK2 axis might be attributed to hypermethylation at specific sites. Immune infiltration analysis indicates that the SLC26A4-AS1/NTRK2 axis may have implications for the alteration of the tumor immune microenvironment and the emergence and progression of immune evasion in breast cancer. Finally, we validated the expression of SLC26A4-AS1-hsa-miR-19a-3p-NTRK2 in breast cancer cell lines. In summary, the present study posits that the SLC26A4-AS1/NTRK2 axis, based on the ceRNA network, could be a novel and significant prognostic factor associated with breast cancer diagnosis and outcomes.

Indexed as

Breast cancerCeRNA networkImmune infiltrationLncRNAMethylationMiRNAMRNAPrognosis,

Identifiers

PMID40090984
PMCPMC11911282

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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.