Related Experiment Video
Updated: Jan 29, 2026

Working with Human Tissues for Translational Cancer Research
Published on: November 26, 2015
[Hidden pre-cancer clones in normal tissue].
1UMR 7268 ADÉS, Aix-Marseille, Université/EFS/CNRS ; CoReBio PACA, case 901, Parc scientifique de Luminy, 13288 Marseille Cedex 09, France.
Cellular clones with cancer gene mutations are abundant in normal esophageal tissue, increasing with age. This finding in the esophagus mirrors previous discoveries in skin, impacting cancer initiation understanding.
Area of Science:
- Oncology
- Genetics
- Gastroenterology
Background:
- Normal tissues accumulate genetic alterations over time.
- Cellular clones with mutations in cancer genes have been observed in sun-exposed skin.
- The presence and implications of such clones in other tissues remain less understood.
Purpose of the Study:
- To investigate the presence and characteristics of cellular clones with mutations in known cancer genes within normal esophageal epithelium.
- To determine if the prevalence of these clones changes with age.
- To explore the implications of these findings for cancer initiation.
Main Methods:
- Sequencing of small tissue samples from normal esophageal epithelium.
- Analysis of identified mutations in known cancer genes.
- Correlation of clone number and size with donor age.
Main Results:
- Abundant cellular clones harboring mutations in known cancer genes were detected in normal esophageal epithelium.
- The number and size of these mutation-harboring clones increase with advancing age.
- These findings are consistent with previous observations in sun-exposed epidermis.
Conclusions:
- Normal esophageal epithelium contains a significant burden of age-related cellular clones with cancer-associated mutations.
- This accumulation of mutations may represent an early step in esophageal cancer development.
- The findings suggest a common mechanism of clonal expansion and mutation acquisition across different tissues, with implications for cancer prevention and early detection strategies.
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