Identification of PGC as a Potential Biomarker for Progression from Barrett’s Esophagus to Esophageal Adenocarcinoma: A Comprehensive Bioinformatic Analysis
2024

PGC as a Biomarker for Barrett’s Esophagus to Esophageal Adenocarcinoma

Sample size: 29 publication 10 minutes Evidence: moderate

Author Information

Author(s): Qureshi Sajida, Abbasi Waqas Ahmad, Qureshi Muhammad Asif, Jalil Hira Abdul, Quraishy Muhammad Saeed

Primary Institution: Dow Medical College, Dow University of Health Sciences, Karachi, Pakistan

Hypothesis

This study investigates the role of PGC expression in the progression from Barrett’s esophagus to esophageal adenocarcinoma.

Conclusion

PGC could serve as a promising biomarker for predicting the high-risk transformation from Barrett’s esophagus to esophageal adenocarcinoma.

Supporting Evidence

  • PGC was upregulated in various cancers, especially in adjacent normal tissues of esophageal adenocarcinoma.
  • Genomic amplifications of PGC were linked to improved survival in esophageal adenocarcinoma patients.
  • PGC expression positively correlated with favorable immune infiltration, notably B cells and CD8+ T cells.
  • PGC was identified among the top 10 hub genes in the analysis of downregulated genes.

Takeaway

This study found that a protein called PGC might help doctors know if someone with Barrett's esophagus is at risk of getting a more serious cancer called esophageal adenocarcinoma.

Methodology

The study used multiple bioinformatic platforms to assess PGC expression, genomic alterations, and correlations with clinicopathological features, survival, and immune infiltration.

Potential Biases

Potential biases may arise from the reliance on bioinformatics analyses without experimental validation.

Limitations

The study relies on publicly available datasets, which may not capture the complexities of tumor biology.

Participant Demographics

The study analyzed data from patients with nondysplastic Barrett’s esophagus and those who progressed to malignancy.

Statistical Information

P-Value

0.055

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/diagnostics14242863

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