Evidence map›Paper›PMID 38388382›Full record

ArticleRetrovirology2024

HERVK-mediated regulation of neighboring genes: implications for breast cancer prognosis.

Boying Liang, Tengyue Yan, Huilin Wei, Die Zhang, Lanxiang Li, Zengjing Liu, Wen Li, Yuluan Zhang, Nili Jiang, Qiuxia Meng and 3 more

Abstract read
In one paragraph

Article in Retrovirology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. The role of HERV envelope protein in ovarian cancer.Frontiers in cell and developmental biology · 2025
    Review
  6. Review
  7. 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

13 authors.

Boying Liang *Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Tengyue Yan *Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning, China.
Huilin WeiSchool of Institute of Life Sciences, Guangxi Medical University, Nanning, China.
Die ZhangCollaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning, China.
Lanxiang LiDepartment of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Zengjing LiuGenomic Experimental Center, Guangxi Medical University, Nanning, China.
Wen LiGenomic Experimental Center, Guangxi Medical University, Nanning, China.
Yuluan ZhangGenomic Experimental Center, Guangxi Medical University, Nanning, China.
Nili JiangSchool of Institute of Life Sciences, Guangxi Medical University, Nanning, China.
Qiuxia MengGenomic Experimental Center, Guangxi Medical University, Nanning, China.
Guiyang JiangGenomic Experimental Center, Guangxi Medical University, Nanning, China.
Yanling HuDepartment of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China. huyanling@gxmu.edu.cn.
Jing LengDepartment of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China. lj986771558@163.com.

Funding

Guangxi Key Research and Development Program GuiKeAB22035027
6 · The paper itself

Abstract

Human endogenous retroviruses (HERVs) are the remnants of ancient retroviral infections integrated into the human genome. Although most HERVs are silenced or rendered inactive by various regulatory mechanisms, they retain the potential to influence the nearby genes. We analyzed the regulatory map of 91 HERV-Ks on neighboring genes in human breast cancer and investigated the impact of HERV-Ks on the tumor microenvironment (TME) and prognosis of breast cancer. Nine RNA-seq datasets were obtained from GEO and NCBI SRA. Differentially expressed genes and HERV-Ks were analyzed using DESeq2. Validation of high-risk prognostic candidate genes using TCGA data. These included Overall survival (multivariate Cox regression model), immune infiltration analysis (TIMER), tumor mutation burden (maftools), and drug sensitivity analysis (GSCA). A total of 88 candidate genes related to breast cancer prognosis were screened, of which CD48, SLAMF7, SLAMF1, IGLL1, IGHA1, and LRRC8A were key genes. Functionally, these six key genes were significantly enriched in some immune function-related pathways, which may be associated with poor prognosis for breast cancer (p = 0.00016), and the expression levels of these genes were significantly correlated with the sensitivity of breast cancer treatment-related drugs. Mechanistically, they may influence breast cancer development by modulating the infiltration of various immune cells into the TME. We further experimentally validated these genes to confirm the results obtained from bioinformatics analysis. This study represents the first report on the regulatory potential of HERV-K in the neighboring breast cancer genome. We identified three key HERV-Ks and five neighboring genes that hold promise as novel targets for future interventions and treatments for breast cancer.

Indexed as

Breast NeoplasmsEndogenous RetrovirusesFemaleGene ExpressionGenome, HumanHumansMembrane ProteinsPrognosisTumor MicroenvironmentLRRC8A protein, humanMembrane ProteinsBreast cancerHuman endogenous retrovirus-KImmune infiltrationNeighborhood genePrognosis

Identifiers

PMID38388382
PMCPMC10885364

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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.