Selecting Optimal Housekeeping Genes for RT-qPCR in Endometrial Cancer Studies: A Narrative Review

Area of Science:

• Molecular Biology
• Genomics
• Oncology

Background:

• Real-time quantitative polymerase chain reaction (RT-qPCR) is a standard method for gene expression analysis.
• Accurate normalization of target gene expression relies on the selection of stable housekeeping genes (HKGs).
• The choice of HKGs significantly impacts the reliability of RT-qPCR results, particularly in complex diseases like endometrial cancer (EC).

Purpose of the Study:

• To review and discuss the critical selection of housekeeping genes (HKGs) specifically for endometrial cancer (EC) research.
• To highlight the limitations of commonly used HKGs, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH), in EC studies.
• To emphasize the importance of using multiple validated HKGs for accurate gene expression normalization in EC.

Main Methods:

• Review of existing literature on housekeeping gene selection in RT-qPCR studies.
• Analysis of the suitability of GAPDH as a HKG in normal endometrium, EC, and other tissues.
• Examination of evidence supporting GAPDH's role as a pan-cancer and EC marker.
• Discussion of discrepancies in published EC gene expression data attributed to HKG selection.

Main Results:

• Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is frequently identified as unsuitable for use as a housekeeping gene in endometrial cancer research.
• Accumulating evidence suggests GAPDH functions as a pan-cancer marker and specifically within endometrial cancer.
• Studies indicate that utilizing at least two validated housekeeping genes is essential for accurate gene expression recalculations, a practice often overlooked.

Conclusions:

• The selection of appropriate HKGs is paramount for the validity of RT-qPCR findings in endometrial cancer.
• Consensus on the selection and validation of HKGs is crucial for achieving reproducible and reliable results in EC research.
• A universally accepted combination of HKGs, suitable for all EC histotypes and grades, is needed to minimize data discrepancies.