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Study of Glutathione S-Transferase, Its Isoenzyme (Pi) and Tumor Marker (CA15-3, HE4) in Breast Carcinoma Patients (Before and After Treatment)

  • 0Department of Biochemistry, Datta Meghe Medical College, Nagpur, Datta Meghe Institute of Higher Education and Research (DU), Wardha, Maharashtra, India.
Journal of Pharmacy & Bioallied Sciences +

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June 13, 2025

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June 13, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study assessed glutathione S-transferase (GST), GST-Pi, CA15-3, and HE4 as breast cancer biomarkers. Findings may aid in cost-effective diagnosis and monitoring treatment efficacy.

Area Of Science

  • Oncology
  • Biochemistry
  • Clinical Diagnostics

Background

  • Breast cancer is a leading cause of mortality in women globally.
  • Early diagnosis and effective treatment are crucial for improving patient prognosis and survival.
  • Biomarkers play a vital role in cancer diagnosis, prognosis, and treatment monitoring.

Purpose Of The Study

  • To evaluate the diagnostic and prognostic significance of glutathione S-transferase (GST), GST-Pi, CA15-3, and HE4 in breast carcinoma.
  • To explore correlations between these biomarkers and liver enzymes (SGOT, SGPT, LDH, ALP) related to hepatic metastasis.
  • To identify reliable biomarkers for monitoring therapeutic efficacy, assessing prognosis, and predicting recurrence in breast cancer patients.

Main Methods

  • Quasi-experimental study involving 311 breast carcinoma patients from the Vidarbha region.
  • Blood sample analysis using enzyme-linked immunosorbent assay (ELISA) and automated biochemical analyzers.
  • Estimation of glutathione S-transferase (GST), GST-Pi, CA15-3, HE4, and liver enzymes (SGOT, SGPT, LDH, ALP).

Main Results

  • Biomarker levels were assessed before and after treatment in breast cancer patients.
  • Correlations between tumor markers and liver enzymes associated with hepatic metastasis were investigated.
  • Data analysis aimed to establish the utility of these markers in clinical practice.

Conclusions

  • The study seeks to identify reliable biomarkers for breast cancer management.
  • Findings may contribute to developing cost-effective diagnostic and monitoring strategies.
  • This research could particularly benefit resource-limited healthcare settings.

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