Acceleration of Telomere Loss by Chemotherapy Is Greater in Older Patients with Locally Advanced Head and Neck Cancer
Bibliographic record
Abstract
PURPOSE: Chronic viral infection and combinations of chemotherapeutic drugs have been reported to accelerate telomere erosion. Here, we asked if chemoradiotherapy, using the single agent cisplatin, would accelerate telomere loss in head and neck cancer patients, and whether loss was linked to smoking status, age, gender, or stage of disease at diagnosis. EXPERIMENTAL DESIGN: Blood samples were collected from 20 patients with squamous cell cancer of the head and neck before, during, and after chemoradiotherapy. Following DNA isolation from peripheral blood mononuclear cells, telomere length was measured by terminal restriction fragment analysis. RESULTS: Chemoradiotherapy increased the rate of telomere erosion>100-fold. Telomere length before treatment in chemoradiotherapy patients was similar to age-matched controls. Although smokers began with significantly shorter telomeres, smoking status did not affect chemoradiotherapy-induced attrition, nor did gender or stage of disease. We also make the novel observation that a significantly greater telomere loss occurred in response to treatment in older patients, with those younger than 55 years losing an average of 400 bp of telomeric DNA compared with the 880 bp lost by those over 55 years. CONCLUSIONS: The lack of telomere length difference before treatment suggests that shortened telomeres may not be a risk factor for development of head and neck cancer in the age range we examined. Chemoradiotherapy caused a severe telomere length reduction in all patients. The significant difference seen in the elderly (P=0.018) suggests that chemoradiotherapy may have more severe effects on the replicative capacity of blood cells in older patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".