ArticleBMC bioinformatics2019
Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed, 61 citations in OpenAlex.
- Promising reference genes for RT-qPCR normalization in breast tumors and normal adjacent tissues.Molecular biology reports · 2026Article
- Receptor-defined targeting of a genomically unique melanoma-enriched noncanonical antigen.Signal transduction and targeted therapy · 2026Article
- Reporting quality of quantitative polymerase chain reaction (qPCR) methods in scientific publications.Research integrity and peer review · 2026Article
- Advances in algorithms for normalizer gene selection in qRT-PCR: implications for cancer biology and precision medicine.Frontiers in genetics · 2026Review
- Selecting Optimal Housekeeping Genes for RT-qPCR in Endometrial Cancer Studies: A Narrative Review.International journal of molecular sciences · 2025Review
- Identification of new reference genes with stable expression patterns for cell cycle experiments in human leukemia cell lines.Scientific reports · 2025Article
- Normalization and Selecting Non-Differentially Expressed Genes Improve Machine Learning Modelling of Cross-Platform Transcriptomic Data.Transactions on artificial intelligence · 2025Article
- Screening and validating the optimal panel of housekeeping genes for 4T1 breast carcinoma and metastasis studies in mice.Scientific reports · 2024Article
- Housekeeping protein-coding genes interrogated with tissue and individual variations.Scientific reports · 2024Article
- Article
- LRP10, PGK1 and RPLP0: Best Reference Genes in Periprostatic Adipose Tissue under Obesity and Prostate Cancer Conditions.International journal of molecular sciences · 2023Article
- Discovery of two new isoforms of the human DUT gene.Scientific reports · 2023Article
- Regulation of 3' splice site selection after step 1 of splicing by spliceosomal C* proteins.Science advances · 2023Article
- Stem Cells as Target for Prostate cancer Therapy: Opportunities and Challenges.Stem cell reviews and reports · 2022Review
- H19 and TUG1 lncRNAs as Novel Biomarkers for Irritable Bowel Syndrome in Diabetic Patients.Biomedicines · 2022Article
- Reference gene identification for normalisation of RT-qPCR analysis in plasma samples of the rat middle cerebral artery occlusion model.Veterinary medicine and science · 2022Article
- Amelioration for an ignored pitfall in reference gene selection by considering the mean expression and standard deviation of target genes.Scientific reports · 2022Article
- Obtaining Reliable RT-qPCR Results in Molecular Diagnostics-MIQE Goals and Pitfalls for Transcriptional Biomarker Discovery.Life (Basel, Switzerland) · 2022Review
- Cosbin: cosine score-based iterative normalization of biologically diverse samples.Bioinformatics advances · 2022Article
- RPS13, a potential universal reference gene for normalisation of gene expression in multiple human normal and cancer tissue samples.Molecular biology reports · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe selection of reference genes is essential for quantifying gene expression. Theoretically they should be expressed stably and not regulated by experimental or pathological conditions. However, identification and validation of reference genes for human cancer research are still being regarded as a critical point, because cancerous tissues often represent genetic instability and heterogeneity. Recent pan-cancer studies have demonstrated the importance of the appropriate selection of reference genes for use as internal controls for the normalization of gene expression; however, no stably expressed, consensus reference genes valid for a range of different human cancers have yet been identified.
resultsIn the present study, we used large-scale cancer gene expression datasets from The Cancer Genome Atlas (TCGA) database, which contains 10,028 (9,364 cancerous and 664 normal) samples from 32 different cancer types, to confirm that the expression of the most commonly used reference genes is not consistent across a range of cancer types. Furthermore, we identified 38 novel candidate reference genes for the normalization of gene expression, independent of cancer type. These genes were found to be highly expressed and highly connected to relevant gene networks, and to be enriched in transcription-translation regulation processes. The expression stability of the newly identified reference genes across 29 cancerous and matched normal tissues were validated via quantitative reverse transcription PCR (RT-qPCR).
conclusionsWe reveal that most commonly used reference genes in current cancer studies cannot be appropriate to serve as representative control genes for quantifying cancer-related gene expression levels, and propose in this study three potential reference genes (HNRNPL, PCBP1, and RER1) to be the most stably expressed across various cancerous and normal human tissues.
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