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Record W2558920446 · doi:10.1182/blood.v116.21.123.123

Induction of Micro RNA-143 and 145 In Pre-Treatment CD34+ Cells From Patients with Myelodysplastic Syndrome (MDS) After In Vitro exposure to Lenalidomide Correlates with Clinical Response In Patients Harboring the Del5q Abnormality

2010· article· en· W2558920446 on OpenAlexaff
Christopher P. Venner, Alan F. List, Thomas J. Nevill, H. Joachim Deeg, Gisela Cáceres, Bart L. Scott, Lubomir Sokol, Sandy Sung, Aly Karsan

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLenalidomideCD34OncologyMedicineInternal medicineCohortmicroRNAMyelodysplastic syndromesImmunologyCancer researchBone marrowStem cellBiologyMultiple myelomaGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 123 Background: Lenalidomide is an effective agent in the treatment of MDS particularily in those possesing the deletion 5q (del5q) abnormality. The disease phenotype is partly related to loss of genetic material found in the commonly deleted region (CDR) on the long arm of chromosome 5. Recently implicated genes include miRNA-143, 145 and 146 all of which appear to play a role in innate immune signalling. In this study we examined whether upregulation of miRNAs in pretreatment CD34+ marrow cells from patients with MDS (both del5q and non-del5q) exposed to lenalidomide in vitro predicts for clinical response to the drug. Patients and Methods: In total 31 pre-treatment patient samples were obtained from three North American centres. 11 patients' samples were positive for del5q. All patients had received lenalidomide as per local protocols. Clinical response was defined as per the International Working Group 2000 criteria. Clinical data were available for 26 patients. Hematologic improvement (HI), specifically the eythroid response (HI-E), was examined as the main clinical endpoint. Changes in miR-143, miR-145, miR-146a and miR-146b expression in CD34+ cells after in vitro lenalidomide exposure (10uM for 48 hours) were examined. The CD34- fraction was also analyzed. dCT values were normalized to 5S. A ≥ 1.5 fold change in miRNA expression was considered significant. Results: For the entire cohort mean fold changes in miRNA-143 and 145 post lenalidomide exposure were 1.6 and 1.7, respectively. Little change was seen in miR-146a and miR-146b expression (mean fold change 1.1 and 1.2, respectively). No significant increase was seen in any of the examined miRNA in the CD34 - fraction (Figure 1a). When separated based on del5q status both del5q and non-del5q groups showed a > 1.5 fold increase in expression of miR-143 and miR-145. No significant change in either miR-146a or miR-146b expression was seen (Figure 1b). In the CD34- fraction no significant change was seen in any of the examined miRNAs, irrespective of del5q status (Figure 1c). Examining HI-E, major responses (MR) were seen in 42% of patients (87.5% in the the del 5q cohort (7/8 had a MR) and 22.2% for the non-del5q cohort (4/18 had a MR)). Correlation with clinical response and miRNA expression in the CD34+ fraction is shown in Table I. In the del5q cohort MR was associated with an increase in both miR-143 and miR-145. No correlation with miRNA expression and clinical response was seen in the non del5q cohort. Conclusion: Exposure of CD34+ cells from patients with MDS to lenalidomide results in up regulation of miR-143 and miR-145, irrespective of del5q status. Clinically, upregulation of miR-143 and miR-145 correlates with a HI-E in patients with del5q and may be predictive of response to therapy. Interestingly, the non-responder in the del5q group failed to upregulate miR-145. A similar gene induction pattern was seen in the non-del5q cohort, yet no correlation was seen with clinical outcome. Given that non-del5q patients do not harbor any abnormalities within the CDR of chromosome 5 these miRNAs are unlikely to play a role in their disease phenotype, nor in their response to lenalidomide. Disclosures: Nevill: Celgene: Honoraria. Karsan:Celgene: Research Funding.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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Citations5
Published2010
Admission routes1
Has abstractyes

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