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Enregistrement W4408502310 · doi:10.1016/j.gimo.2025.102972

P128: Bioinformatics analysis reveals genes involved in PI3K-Akt pathway as novel potential biomarkers and drug targets for acute myeloid leukemia (AML)

2025· article· en· W4408502310 sur OpenAlexaff
Putri Ramadani, Luqman Abdan Syakuran, Ahmad Furqon

Notice bibliographique

RevueGenetics in Medicine Open · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMyeloid leukemiaCancer researchDrugPI3K/AKT/mTOR pathwayMyeloidGeneLeukemiaMedicineComputational biologyBioinformaticsBiologyGeneticsPharmacologyImmunologySignal transduction

Résumé

récupéré en direct d'OpenAlex

Introduction: Insurance policies and medical necessity criteria are essential components of medical practice.Testing criteria can help direct testing of appropriate patients, if the criteria are consistent with accepted practice standards.The determination of medical necessity for hereditary cancer genetic testing is complex and has inherent difficulties that do not easily lend themselves to automation and/or scalability.To address this, health plans are increasingly contracting lab benefits managers (LBMs) to perform these services, aiming to control unnecessary testing and lower costs.This increased reliance on LBMs has raised concerns about the transparency of the processes and the resultant impact on patient access to care.While National Comprehensive Cancer Network (NCCN) testing criteria are widely accepted by both clinicians and health plans as the standard for hereditary cancer testing, some medical policies diverge significantly, with a resultant impact on patient access to testing.To date, the degree of this impact has not been investigated.Methods: We performed a retrospective study of participants referred for hereditary cancer panel testing at one commercial laboratory from January 1, 2024 to May 31, 2024 who met the NCCN testing criteria in the Genetic/Familial High-Risk Assessment: Breast, Ovarian and Pancreatic v3.2024 ("BOP") guidelines and the Genetic/Familial High-Risk Assessment: Colon v2.2023 ("Colon") guidelines.Clinical histories were obtained through review of clinical notes, pedigrees, test requisitions and other material provided by the ordering provider.Determination of whether participants met NCCN criteria was performed through manual review by trained clinical data curators.We identified all LBM criteria that were discrepant with NCCN; of note, none had evidence provided to support the discrepancy.We selected four BOP criteria and four Colon criteria that we expected would impact the most patients.We then mapped the histories of these NCCN-eligible patients to the corresponding LBM criterion to determine whether the patient also met the LBM criterion.Those participants meeting NCCN criteria but not meeting LBM criteria were designated as patients denied access to standard of care genetic testing.Results: Among the 2797 participants meeting NCCN BOP criteria, 1168 (42%) met for the four criteria we investigated, of which 34% (N=403) did not qualify for testing under the LBM's corresponding four criteria.Among 578 participants meeting NCCN Colon criteria, 204 (35%) met for the four selected criteria of which 83% (N=169) did not qualify under the LBM's policy.These patients impacted by limitations in the eight LBM criteria represent 5.7% of all patients meeting NCCN BOP testing criteria and 26% of all patients meeting NCCN Colon testing criteria in our cohort.Among those not covered by the LBM's BOP criteria, 8.75% tested positive in one of 12 moderate or high penetrance breast cancer genes, and 7.24% of those not covered by the LBM's Colon criteria tested positive in one of 19 moderate or high penetrance colon cancer genes.Conclusion: Application of testing criteria adopted by one large LBM resulted in a significant decrease in the number of patients eligible for hereditary cancer genetic testing.Given that we assessed only eight of the NCCN discrepancies among this LBM's policies, the full impact of their criteria changes is likely to be much greater.This discrepancy between the accepted NCCN guidelines and a prominent LBM guideline adds unnecessary complexity for busy clinicians when assessing patients for medical necessity.This study highlights that eligibility restrictions implemented by an LBM, without supporting evidence, significantly decreased access for individuals who would otherwise meet standard-of-care parameters for genetic testing for hereditary cancer.We also show that these patients had pathogenic variant prevalences of ~7-9% in clinically actionable genes, well within the risk range considered eligible for genetic testing.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,411
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,344
Écart entre enseignants0,320 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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