Bioinformatics and experimental insights into F2RL1 as a key biomarker in cervical cancer diagnosis and prognosis

  • 0Department of Clinical Laboratoryaboratory, Shandong Provincial Third Hospital, Shandong University, No.11 Middle Wuyingshan Road, Tianqiao, Jinan, 250031, Shandong, China.

|

|

Summary

This summary is machine-generated.

F2RL1 is highly expressed in cervical cancer (CCa) tissues and is linked to poorer survival. This study reveals F2RL1 as a potential biomarker for early CCa diagnosis and prognosis, impacting immune cell infiltration.

Area Of Science

  • Oncology
  • Molecular Biology
  • Immunology

Background

  • Cervical cancer (CCa) is a major global health issue with incompletely understood molecular mechanisms.
  • F2RL1, a gene implicated in various cancers, has an unclear role in CCa pathogenesis.

Purpose Of The Study

  • To investigate the expression, diagnostic, and prognostic significance of F2RL1 in cervical cancer.
  • To explore the relationship between F2RL1 and immune infiltration in CCa.

Main Methods

  • Utilized TCGA database for differential gene expression analysis (Limma) and survival analysis.
  • Performed ROC analysis, immune-related gene identification (ImmPort), and functional enrichment (GO, KEGG, GSEA).
  • Validated F2RL1 expression in patient samples (HPV, TCT, qPCR, WB, ELISA).

Main Results

  • F2RL1 expression is significantly elevated in CCa tissues compared to normal tissues.
  • High F2RL1 expression correlates with reduced Overall Survival (OS), Progression Free Interval (PFI), and Progression Free Survival (PFS).
  • F2RL1 demonstrated high diagnostic accuracy (AUC=0.996) and was linked to immune cell infiltration, particularly TFH and cytotoxic cells, suggesting immune evasion.

Conclusions

  • F2RL1 is a promising biomarker for the early diagnosis and prognosis of cervical cancer.
  • F2RL1 expression is associated with CCa progression and immune evasion mechanisms.
  • Elevated F2RL1 in exfoliated cells and serum supports its potential for non-invasive detection.