Abstract 3110: Shorter naïve T cell telomere length is associated with thyroid subsequent malignant neoplasm: A report from the Childhood Cancer Survivor Study (CCSS)
Bibliographic record
Abstract
Abstract Introduction: Reduced blood telomere content has been associated with an increased risk for subsequent malignant neoplasms of the thyroid (thyroid SMN) in survivors of childhood cancer (PMID 24277454). Here, we further investigate this association by examining telomere length (TL) in leukocyte subsets. Methods: Survivors were enrolled to the CCSS, a multicenter, retrospective cohort of 5-year + survivors of childhood cancer. Cases were survivors with thyroid SMN, and matched (1:1) to survivor controls without SMN by primary diagnosis, year of primary diagnosis (decade), chemotherapy (yes/no), radiation field, and follow-up time (exceeding time to SMN for the case). Stem cell transplant recipients were excluded. Absolute TL was determined from viably frozen leukocytes (lymphocytes, naïve T, memory T, B, and NK cells) by telomere flow cytometry fluorescence in situ hybridization (telomere flow FISH, Repeat Diagnostics), and transformed to age-adjusted percentiles based on age at sample collection. For each leukocyte subset, we used McNemar’s test to compare frequency of very low (VL, ≤1st age-adjusted percentile) or low (L, >1st to ≤10th percentile), and a paired t-test to compare age-adjusted TL between cases and controls. Odds ratios were determined by conditional logistic regression. Results: Of the 52 matched pairs identified, 46 pairs (92 survivors) had sufficient cell recovery for flow FISH: primary diagnoses included Hodgkin lymphoma (20 pairs), acute lymphoblastic leukemia (13 pairs), CNS tumors (7 pairs), neuroblastoma (2 pairs), non-Hodgkin lymphoma (3 pairs), and kidney tumor (1 pair). All survivors had age-adjusted TL below the population median. Cases had shorter age-adjusted TL than controls in 4 out of 5 leukocyte subsets: lymphocytes (p=0.04), naïve T cells (p=0.02), B cells (p=0.01), and NK cells (p=0.01). Naïve T cells had an overrepresentation of VL TL (cases with VL TL in 9/46 pairs vs. controls with VL TL in 2/46 pairs, p=0.04). The odds of L or VL naïve T cell TL was significantly higher in cases compared with controls (OR=2.8, 1.11-7.19, p=0.03), an observation that did not change after adjusting for age at diagnosis. Conclusions: Survivors of childhood cancer had shorter age-adjusted leukocyte TL than the general population. This negative deviation was more pronounced among survivors with thyroid SMN than in survivors without SMN, which may reflect a differential risk among survivors for excess premature aging in the hematopoietic compartment. The effect of SMN treatment on TL is unlikely to be a factor, as treatment for thyroid SMN is primarily surgical. In cancer-naïve populations, VL lymphocyte TL is a sensitive and specific indicator of underlying defects in telomere maintenance. In survivors of childhood cancer, VL TL in naïve T cells may reflect an association between SMN risk and defects in T cell-mediated cancer surveillance. Citation Format: Maria M. Gramatges, Geraldine Aubert, Elmira Hariri, Yan Chen, John A. Whitton, Wendy M. Leisenring, Michael A. Arnold, Joseph P. Neglia, Yutaka Yasui, Leslie L. Robison, Gregory T. Armstrong, Smita Bhatia. Shorter naïve T cell telomere length is associated with thyroid subsequent malignant neoplasm: A report from the Childhood Cancer Survivor Study (CCSS) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3110.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".