ArticleReproductive sciences (Thousand Oaks, Calif.)2023
Bioinformatics Analysis Identifies Key Genes in Recurrent Implantation Failure Based on Immune Infiltration.
Article in Reproductive sciences (Thousand Oaks, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Cell type and region-specific transcriptional changes in the endometrium of women with RIF identify potential treatment targets.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Identification of m6A methyltransferase-related WTAP and ZC3H13 predicts immune infiltrates in glioblastoma.Scientific reports · 2025Article
- Article
- Gene profiling reveals the role of inflammation, abnormal uterine muscle contraction and vascularity in recurrent implantation failure.Frontiers in genetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Recurrent implantation failure (RIF) is a thorny problem often encountered in the field of assisted reproduction. Existing evidences suggest that immune dysregulation may be involved in the pathogenesis of RIF. The purpose of this study is to explore immune-related genes contributing to RIF through data mining. The endometrial expression profiles of 24 RIF and 24 controls were obtained from the GEO database. The immune infiltration in bulk tissue was estimated by single sample gene set enrichment analysis (ssGSEA) method based on marker gene sets for immune cells generated from endometrial single-cell RNA sequencing data. The results showed that the infiltration levels of B cells and regulatory T cells (Tregs) were significantly reduced in the RIF group. Four hub genes (GJA1, PRKAG2, CPT1A, and ICA1) were identified by integrated analysis of weighted gene co-expression network analysis (WGCNA), random forest and LASSO regression. Moreover, these hub genes were significantly correlated with certain immune-related factors, especially CXCL12, CEACAM1, and XCR1. Single-gene GSEA indicated that the pathways associated with hub genes included the regulation of cell cycle, the process of epithelial-mesenchymal transition and transplant rejection, etc. A predictive model for RIF was constructed based on hub genes and performed well in the training dataset and the other two external datasets. Thus, this study identified immune-related key genes in RIF and provided new biomarkers for early diagnosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.