The Cancer–Aging Interface and the Significance of Telomere Dynamics in Cancer Therapy
Bibliographic record
Abstract
The efficacy of most cancer treatments depends markedly on the high replication rate of cancer cells, a characteristic frequently observed in neoplasms with higher grades of malignancy. Yet, the same characteristic is present in many normal regenerative tissues of the body, which makes them susceptible to the cytotoxic effects of chemotherapeutics and accounts for many of the toxic side effects of these drugs. In response to cell killing by chemotherapeutics, normal regenerative tissues replicate at a faster rate to regenerate, resulting in accelerated telomere attrition and leaving different cell populations with telomeres shorter than they would normally have in the absence of treatment. This accelerated erosion has implications regarding the recurrence of cancers at secondary sites because reduced replicative ability may compromise effective subsequent immune responses. In this review we discuss recent reports describing the effect of chemotherapeutics on telomere loss, how this may impact healthy tissues in an age-dependent manner, and describe in brief emerging cancer treatments that may avoid this telomere erosion effect.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".