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Identification and Validation of RPL7 and RCCD1 as Potential Biomarkers Associated with Immune Infiltration in Patients with Thin Endometrium

  • Jiani Sun
  • , Mei Ji
  • , Yiping Zhu
  • , Orhan Bukulmez
  • , Yeung William Shu-Biu
  • , Jing Sun
  • , Xiaoming Teng
  • , Miaoxin Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Thin endometriumQuery (TE) significantly contributes to poor embryo implantation and female infertility, yet its pathogenesis remains unclear, limiting effective treatment options. To identify potential TE-associated genes and explore underlying mechanisms for clinical therapy, we conducted RNA sequencing on 18 TE and 18 normal endometrium samples, followed by bioinformatics analysis. Total RNA was extracted from samples, reverse-transcribed into cDNA, and sequenced on the HiSeq 2500 platform, followed by differential expression analysis and functional enrichment of differentially expressed genes (DEGs). Functional enrichment and LASSO analysis identified key biomarkers, which were subsequently validated at both mRNA and protein levels. Immune infiltration patterns and correlations with immune cells were also examined. Consequently, ribosomal protein L7 (RPL7) and RCC1 domain-containing 1 (RCCD1) were identified as potential biomarkers, showing overexpression in TE and association with abnormal immune regulation. These findings suggest that RPL7 and RCCD1 may serve as specific biomarkers for TE, providing insights that could aid in developing targeted therapeutics to improve clinical outcomes.

Original languageEnglish (US)
Pages (from-to)2202-2215
Number of pages14
JournalReproductive Sciences
Volume32
Issue number7
DOIs
StatePublished - Jul 2025

Keywords

  • Diagnostic biomarker
  • Immune infiltration
  • Machine learning
  • RCCD1
  • RPL7
  • Thin endometrium

ASJC Scopus subject areas

  • Obstetrics and Gynecology

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