Abstract 4624: Clinical impact of telomere shortening in normal and leukemia cells in chronic lymphocytic leukemia
Bibliographic record
Abstract
Abstract Introduction: Prognosis in CLL is heterogeneous with the elderly, males and those with multiple co-morbidities having the highest risk of poorer outcomes. Whether this reflects differences in the biology of CLL or the result of altered immunosuppression is unknown. In normal individuals, the telomeres in somatic cells shorten with age, predisposing those with shorter telomeres to death from infections, cancer and cardiovascular disease. In chronic lymphocytic leukemia (CLL), short telomere length in the leukemia cells predicts poor prognosis. The contribution of un-modifiable factors of age, sex or comorbidities to telomere shortening in CLL has not been elucidated. In the present study, we evaluated buccal cell (BC) telomere length in patients with CLL, to determine if this is predictive of survival, and can enhance the predictive value of leukemia cell telomere length. Methods: The Manitoba CLL tumor bank contains 168 samples from newly diagnosed CLL patients between 2007-2011; with a median follow-up of 4 years. Half of these patients required chemotherapy and one-tenth have died. Genomic DNA was extracted from purified CLL cells and buccal cells (BC) collected at diagnosis. Telomere length was established by multiplex quantitative real-time PCR. Telomere/standard (t/s) ratio was calculated using the beta-globulin gene as the standard. Statistical analysis was performed using Statistical Analysis Software (SAS) and Prism software. Results: The median adjusted telomere length was shorter in CLL cells than in BCs being 0.53 and 2.01, respectively. In BCs, telomere length significantly shortened with increasing age (p = 0.01) but was not reflective of the number of comorbidities or survival. In contrast, telomere length in CLL cells was independent of age (p = 0.44) and sex (p = 0.75). Short CLL telomere length correlated with other biological and clinical markers of poorer prognosis including un-mutated IGHV status (p<0.0001), Zap70 positivity (p = 0.05), CD38 positivity (p = 0.003), short lymphocyte doubling time (p = 0.004), higher Rai stage (p = 0.02) and an earlier time to treatment (p<0.0001). Patients with short CLL telomeres had also decreased survival at four years (p = 0.05); living 22 months less than those with normal telomeres. Adjusting for BC telomere length improved the prognostic value of CLL telomere length as an independent predictor of survival. Conclusions: These results demonstrate that BC telomere length in CLL patients shorten with age independent of co-morbidities, secondary malignancies and the respective CLL telomere length. CLL telomere shortening is strongly associated with biochemical and clinical markers of disease progression and survival. The predictive value for overall survival is enhanced by correcting for changes in buccal cell telomere length. Note: This abstract was not presented at the meeting. Citation Format: Lin Yang, Sara Beiggi, Yunli Zhang, Robert Schmidt, Spencer B. Gibson, James B. Johnston. Clinical impact of telomere shortening in normal and leukemia cells in chronic lymphocytic leukemia. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4624. doi:10.1158/1538-7445.AM2015-4624
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".