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Abstract B038: RT-PCR and Interphase FISH reveal high frequencies of BCR-ABL in pediatric ALL patients in South-East Asia

2024· article· en· W4402267071 on OpenAlexaboutno aff
Sarah AlMukhaylid, Zafar Iqbal, Nawaf Alanzazi

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>MedicineInterphaseBiologyCancer researchInternal medicineGeneticsFishery

Abstract

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Abstract Background: Acute lymphoblastic leukemia (ALL) is the most common cancer in children. Fusion oncogenes (FOs) caused by chromosomal abnormalities play a significant role in the development, prognostic stratification and treatment decision-making of pediatric B cell acute lymphoblastic leukemia (ALL). The predominant fusion oncogenes (FOs) in ALL include BCR-ABL, MLL-AF4, ETV6-RUNX1, and TCF3-PBX1, all of which carry significant prognosis and treatment selection implications. Furthermore, the frequency of FOs exhibit ethnic variation. Pediatric ALL has poorer outcome in Pakistan as compared to global outcome for which reasons are unknown. To find out the genetic basis of this, we carried out molecular cytogenetic analysis of pediatric ALL in Pakistani population. We studied FOs of clinical importance, clinical presentation, and outcome in pediatric B-ALL in Pakistan. The study included 188 ALL patients and employed reverse transcriptase-polymerase chain reaction (RT-PCR) and results verified using interphase fluorescence in situ hybridization (FISH). The data were analyzed using SPSS version 25. Results: FOs were identified in 87.2% of the individuals. The average overall survival was 70.9 weeks, with a 3-year survival rate of 31.9% and a 3-year relapse-free survival rate of 18.1%. Four individuals succumbed to medication toxicities. ETV6-RUNX1 (19.14 %) demonstrated a higher survival rate (110.9 weeks; p = 0.03). TCF3-PBX1 (2.1 %) was linked to a worse outcome and an increased risk of relapse in the central nervous system (CNS). MLL-AF4 (18.1 %) was more prevalent in the 8- to 15-year age group (24/34; p = 0.001) and was associated with organomegaly, low platelet count, and poor survival. BCR-ABL (47.9 %) was associated with older age (7–15 years, 52/90), lower remission rates, shorter survival (43.73 ± 4.24 weeks), and a higher white blood cell count. MLL-AF4 and BCR-ABL were found in 66% of B-ALL cases, which typically occur in older children. This study reveals that the occurrence of BCR-ABL FO in pediatric ALL within a specific ethnic group is the highest ever reported. These findings align with earlier studies conducted in our region. Two-thirds of pediatric B-ALL cases in South-East Asia have been shown to have a bad prognosis due to the presence of BCR-ABL and MLL-AF4. This is likely the cause of the previously reported low survival rates for childhood ALL in this region. Additionally, the integration of tyrosine kinase inhibitors and hematopoietic stem cell transplantation facilities should be implemented to enhance treatment outcomes for patients in developing nations. Citation Format: Sarah Almukhaylid, Zafar Iqbal, Nawaf Alanzazi. RT-PCR and Interphase FISH reveal high frequencies of BCR-ABL in pediatric ALL patients in South-East Asia [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr B038.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.059
GPT teacher head0.377
Teacher spread0.318 · 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 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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Citations0
Published2024
Admission routes1
Has abstractyes

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