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High Cumulative Illness Rating Scale (CIRS) Score in CLL Correlates with Short CLL Telomere Length and Decreased Survival

2016· article· en· W2603510719 on OpenAlexaff
Lin Yang, Sara Beiggi, Yunli Zhang, Sara E. Kost, Robert A. Schmidt, Gangimeg Ishdorj, Dhali H.S. Dhaliwal, Versha Banerji, Sabine Mai, Spencer B. Gibson, James B. Johnston

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of British ColumbiaCancerCare ManitobaResearch Institute in Oncology and HematologyUniversity of Manitoba
Fundersnot available
KeywordsChronic lymphocytic leukemiaInternal medicineMedicineTelomereBuccal swabGastroenterologyCancerSurrogate endpointOncologyLeukemiaBiologyGenetics

Abstract

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Abstract The impact of chronic disease on the development and progression of cancer is increasingly recognized. Chronic lymphocytic leukemia (CLL) is a disease of the elderly and many of these patients have multiple comorbidities, which could shorten an individual's life, either directly or by enhancing CLL progression. In normal cells, including buccal cells (BC), it is known that chronic illness and age can shorten telomere length and this is a surrogate marker of overall survival. In the present study, we have examined the relationship between comorbidities and BC telomere length in CLL patients and determined whether these features can predict patient survival and disease aggressiveness. Telomere length in isolated genomic DNA from buccal and CLL cells of 196 CLL patients was measured at the time of diagnosis, using multiplex quantitative real-time PCR. Comorbidities were measured by the Cumulative Illness Rating Scale (CIRS) and CLL aggressiveness by leukemia cell telomere length. The median age of patients at diagnosis was 66 years (range, 39-89). With a median follow-up of 4.86 years (range, 0.05-7.69 years), approximately half the patients have progressed and one quarter have died. The median CIRS score of these patients was 3 (range, 0-12); a score of ≥7 was considered high. In patients with an elevated CIRS score, a direct correlation was found with increasing age (P<0.0001, r=0.42). In addition, independent of the effects of age, an increased CIRS score was found to correlate with poor overall survival (P=0.048, r=0.18). The median BC relative telomere length (T/S) of 2.01 (range, 0.70-5.66) was longer than the median CLL T/S of 0.53 (range, 0.07-2.48). There was no correlation between buccal and CLL telomere lengths (P=0.21). BC telomere lengths shortened with increasing age (P=0.011), but showed no association with markers of CLL disease, survival or high CIRS scores (P=0.08, r=-0.16). Meanwhile, patients with shorter CLL telomeres showed more aggressive disease with unmutated IGHVstatus (P<0.0001), higher Rai stage (P=0.02), shorter lymphocyte doubling time (P=0.004), earlier time to treatment (P<0.0001) and shorter overall survival (P=0.02). More importantly, short CLL telomere lengths occurred independent of increasing age (P=0.47), and significantly correlated with high CIRS scores (P=0.03, r=-0.18). In summary, while BC telomere lengths shorten with age in CLL cases, it is not predictive of survival or comorbidities in CLL. In contrast, independent of age, short CLL telomeres correlate with increasing CIRS scores and both predict poor survival. These results suggest that comorbidities in CLL may affect tumor biology, enhancing disease progression. This finding may partly explain the more aggressive clinical course of CLL in the elderly. Whether altering comorbidities in CLL can influence disease aggressiveness and survival requires further study. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.271
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2016
Admission routes1
Has abstractyes

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