Constitutional Loss-of-Function Mutations in Telomerase Are Genetic Risk Factors for Acute Myeloid Leukemia.
Notice bibliographique
Résumé
Abstract Telomeres protect chromosome ends from end-to-end fusion and recombination but are gradually eroded with proliferation. Critically short telomeres are repaired by the telomerase complex and mutations in telomerase complex genes (TERT and TERC) are associated with dyskeratosis congenita and acquired aplastic anemia. Telomere shortening eventually results in cell proliferation arrest, apoptosis, or genomic instability, and patients with dyskeratosis congenita and acquired aplastic anemia are at risk for developing leukemia and other malignancies. We therefore investigated whether TERT and TERC gene mutations were associated with acute myeloid leukemia (AML) by screening 100 consecutive Brazilian patients diagnosed with AML (excluding acute promyelocytic leukemia) at the same institution and 198 ethnic-, age-, and sex-matched healthy volunteers. Eight patients carried a non-synonymous TERT gene variant; one was homozygous and five heterozygous for A1062T, one was heterozygous for H412Y, and another was heterozygous for a novel R522K TERT mutation. None of these gene variants was present in matched controls (Fisher’s exact test, P=0.0001). We validated our results by screening an additional 89 AML patients from the MD Anderson Cancer Center, selected based on cytogenetic status and 528 healthy controls. Four of these 89 patients had a non-synonymous TERT gene variant (one homozygous, three heterozygous), an incidence higher than in controls (P=0.028). To further address the higher prevalence of the A1062T gene variant in AML, we screened a total of 1,111 controls, and found a 3.8 times higher A1062T allele frequency in AML than in controls (P=0.002). The germ-line origin of mutations was established by mutation detection in non-hematopoietic tissues and in relatives. Cytogenetics were available for four TERT-mutant patients in the Brazilian cohort: two had inv(16), one had t(5;11)(q35;q13) and del(10)(p15), and another had complex karyotype (including trisomy 8). In the MD Anderson cohort, 2 patients had inv(16) and two had trisomy 8. The incidence of TERT mutations was higher in patients with trisomy 8 (2/10) or inv (16) (2/22) than in other patients (0/57; P =0.02 for trisomy 8 and 0.08 for inv(16) vs. other). Telomere lengths of blast cells were extremely short (median length, 3.1 kb; range, 2.4-5.9 kb). Vectors containing TERT mutants were transfected into VA13 cells and telomerase activity of transfected cell lysates, measured by the fluorescent telomere repeat amplification protocol (TRAP) assay, demonstrated that AML-associated TERT gene variants resulted in significantly reduced telomerase function in comparison to wild-type TERT by haploinsufficiency. Our results indicate that constitutional TERT gene mutations are risk factors for AML. Abnormal telomerase function of hematopoietic stem cells may result in short and dysfunctional telomeres, facilitating genomic instability, aneuploidy, and probably contributing to an early stage of leukemogenesis.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».