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Updated: Oct 30, 2025

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Published on: April 22, 2019
Genes Relevant to Tissue Response to Cancer Therapy Display Diurnal Variation in mRNA Expression in Human Oral Mucosa
Fangyi Gu1, Eduardo Cortes Gomez2, Jianhong Chen1
1Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, US.
Background:
To address a critical gap for application of cancer chronotherapy of when would be the best time(s) for treating an individual cancer patient, we conducted a pilot study to characterize diurnal variations of gene expression in oral mucosal tissue, which is vulnerable to damage from cancer therapies.
Methods:
We conducted RNA-seq assay on individual oral mucosal samples collected from 11 healthy volunteers every 4 hours (6 time points). Using a cosine-based method, we estimated the individual and average values of peak-time and amplitude for each gene. Correlations between gene expression peak-times and age was examined, adjusting for individual's sleep timing.
Results:
Among candidate gene pathways that are relevant to treatment response, 7 of 16 genes (PER3, CIART, TEF, PER1, PER2, CRY2, ARNTL) involved in circadian regulation and 1 of 118 genes (WEE1) involved in cell cycle regulation achieved p-value ≤ 0.1 and relative amplitude>0.1. The average peak times were approximately 10:15 for PER3, CIART and TEF, 10:45 for PER1, 13:00 for WEE1, PER2 and CRY2, and 19:30 for ARNTL. Ranges in peak times across individuals differed by gene (e.g., 8 hours for PER1; 16.7 hours for WEE1). Older people had later peak times for PER1 (r = 0.77, p = 0.03) and PER3 (r = 0.69, p-value = 0.06).
Conclusion:
In oral mucosa, expression of some genes relevant to treatment response displayed diurnal variation. These genes may be candidates for development of biomarkers for optimizing individual timing of cancer therapy using non-invasively collected oral mucosa.
Insights
This study identified diurnal gene expression variations in oral mucosa, crucial for optimizing cancer chronotherapy timing. These findings suggest potential biomarkers for personalized cancer treatment schedules.
Area of Science:
- Chronobiology
- Cancer Therapeutics
- Molecular Biology
Background:
- Cancer chronotherapy requires precise treatment timing for individual patients.
- Oral mucosa is susceptible to damage from cancer therapies, necessitating research into its diurnal variations.
- Understanding gene expression patterns in oral tissue is critical for optimizing treatment schedules.
Purpose of the Study:
- To characterize diurnal variations in gene expression within oral mucosal tissue.
- To identify potential biomarkers for optimizing the timing of cancer therapy.
- To address the gap in knowledge regarding the best time(s) for treating individual cancer patients.
Main Methods:
- RNA sequencing (RNA-seq) was performed on oral mucosal samples from 11 healthy volunteers at 6 time points over 24 hours.
- A cosine-based method was used to estimate individual and average peak gene expression times and amplitudes.
- Correlations between gene expression peak times and age were analyzed, adjusting for sleep timing.
Main Results:
- Several genes involved in circadian regulation (PER3, CIART, TEF, PER1, PER2, CRY2, ARNTL) and cell cycle regulation (WEE1) showed significant diurnal variation.
- Average peak expression times varied by gene, with some showing substantial individual differences (e.g., WEE1).
- Older individuals exhibited later peak expression times for PER1 and PER3.
Conclusions:
- Oral mucosal gene expression exhibits diurnal variations relevant to cancer treatment response.
- Identified genes (PER3, CIART, TEF, PER1, PER2, CRY2, ARNTL, WEE1) are potential candidates for developing biomarkers.
- These biomarkers could enable non-invasive optimization of individual cancer therapy timing.
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