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Record W2921604563 · doi:10.5539/gjhs.v11n4p25

The Expression of Human Telomerase Reverse Transcriptase in Adult Acute Myeloid Leukemia and Its Correlation With Various Clinico-Pathological Parameters

2019· article· en· W2921604563 on OpenAlexvenueno aff
Farah AlJobori, Abdulkareem M. Jaafar

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsnot available
Fundersnot available
KeywordsTelomerase reverse transcriptaseTelomeraseMyeloid leukemiaTelomereMedicinePeripheral blood mononuclear cellReverse transcriptaseLeukemiaPathologicalBone marrowCancer researchImmunologyInternal medicineOncologyGenePolymerase chain reactionBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Acute myeloid leukemia (AML) is a heterogeneous disorder characterized by clonal expansion of myeloid progenitors (blasts) in the bone marrow and peripheral blood, AML accounts for 80% of acute leukemia in adults, its incidence increase with age. AML can be a fatal disease so research to predict prognosis is important. Telomerase (TA) is an enzyme that stabilizes the telomere length and makes the cell immortal. It is present in some of the normal cells, fetal cells, adult germ cells, and presents in 85% of tumors in humans, it has been shown that TA can be used as a prognostic marker in some solid and hematological neoplasms. Telomere length is a factor that predicts telomere function. AIM: We test the quantitative amount of human telomerase reverse transcriptase (hTERT) gene expression in AML (diagnosed according to FAB) adult and its correlation with various clinic-pathological parameters. PATIENTS & METHODS: We used the TRAP assay to assess the hTERT gene expression in mononuclear blood cells from 40 newly diagnosed AML patients, 25 AML patients after completing their course of treatment, and 15 control health subjects. RESULTS: The mean value of hTERT in AML and control groups were [1.59 ± 1.27 anm and 0.035 ± 0.046 anm respectively], and this difference was significantly higher in patients than in control group (p = 0.0001). The telomerase activity was positive in 27 (67.5%) AML patients, while 13 (32.5%) AML patients were negative for telomerase activity. Twenty-five patients after induction chemotherapy were followed up by bone marrow and peripheral blood examination to determine the patient’s response to therapy. Complete hematological remission was achieved in 12 (48.0%) patients and incomplete hematological remission in 13 (52.0%) patients (14%). The hTERT level was significantly higher in patients before induction chemotherapy than after completion of the induction course (p = 0.0001). The hTERT level at diagnosis in patients who did not achieve complete hematological remission was significantly higher than that in patients who achieved complete hematological remission (p = = 0.026). The hTERT level after induction therapy was significantly higher in patients who did not achieve complete hematological remission than in patients who achieved complete hematological remission (p = 0.003). CONCLUSION: Our research suggests that the hTERT expression could serve as a prognostic marker for AML patients.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.325
Teacher spread0.302 · 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
Published2019
Admission routes1
Has abstractyes

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