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Enregistrement W4405054239 · doi:10.1182/blood-2024-199823

Detection of Molecular Biomarkers in Fanconi Anemia Mucosa

2024· article· en· W4405054239 sur OpenAlexaff
Tamar Berger, Yu-Chien Lin, Frank X. Donovan, Shivatheja Soma, Kinjal Bhadresha, Christine Krieg, Neelam Giri, Lisa J. McReynolds, Armando Filie, Zohreh Khavandgar, Denise M. Laronde, Martial Guillaud, Sharon Savage, Eunike Velleuer, Settara C. Chandrasekharappa, Agata Smogorzewska

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueDNA Repair Mechanisms
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésFanconi anemiaMedicineBiologyCancer researchPathologyInternal medicineGeneticsDNADNA repair

Résumé

récupéré en direct d'OpenAlex

Introduction Fanconi anemia (FA) is the most common cause of inherited bone marrow failure, and a cancer predisposition syndrome caused by impaired DNA interstrand crosslink repair, also known as the FA repair pathway. Hematopoietic stem cell transplantations (HSCT) have improved survival in patients with FA, however, those have also heightened the risk of malignancies. Head and neck squamous cell carcinoma (HNSCC), and specifically oral SCC (oSCC), are the most common solid malignancies and the leading cause of death in adult patients with FA. By 45 years of age, HNSCC has a computed cumulative incidence of 50% and 100% in FA patients who did not and did undergo a HSCT, respectively. Historically, SCC in FA has been mostly diagnosed at an advanced stage of disease conferring poor outcome. FA-associated HNSCC are known to be enriched with p53 and structural variants. We aim to develop molecular screening tools and biomarkers of oSCC development in FA patients, to facilitate measurement of potential prophylactic therapies and allow for earlier detection of premalignant oral lesions and cancer. To that end, we are mapping somatic genetic variants in normal-appearing oral mucosa as well as oral lesions in patients with FA, and we plan to evaluate circulating cancer biomarkers. Methods This is a proof-of-concept study conducted in healthy controls (HC) and FA patients. We use a non-invasive oral brush biopsy to collect oral keratinocytes from six different sites of normal-appearing mucosa: retromolar area, side of the tongue and floor of the mouth, bilaterally. DNA is isolated and the exonic regions of the TP53 gene are sequenced using CleanPlex TP53 Kit on an illumina Miseq platform, to identify single nucleotide variants (SNVs), insertion-deletions (indels) at an allele frequency above 1%. Genome-wide SNP genotyping with Infinium Global Diversity Array (v1.0) is used for copy number variant (CNV) identification. Areas of visible changes/abnormal appearing mucosa are also brushed and are tested for the aforementioned genetic changes, as well as for cytology and DNA ploidy. Circulating plasma and serum biomarkers will be evaluated at the end of the study. Results The study is ongoing. 20 HC and 17 FA patients have completed the study to date. Median age of the HC and FA cohorts were 36.3 years (range 23-61) and 31.8 years (range 15-50), respectively. Sex distribution was similar with males consisting of 44% and 53% in the HC and FA cohorts, respectively. The HC cohort included significantly more tobacco smokers and alcohol consumers than the FA cohort (33.3% vs. 0 for smokers, and 83.3% vs.17.6% for alcohol consumers, in the HC vs. FA cohorts, respectively, p<0.05). Using an optimized DNA isolation protocol, we were able to obtain sufficient amount of high molecular weight DNA, for each of the six sites brushed. Both freshly collected and stored samples were successfully used for molecular studies. Storing of HC samples in SurePath preservation solution, for an average duration of 55 days, did not impair DNA yield or sequencing data. No somatic molecular changes were evident in the oral mucosa of the healthy controls (n=18) in over 100 samples taken. At least one somatic molecular change was evident in most participants with FA. Five out of the 15 participants (33.3%) in the FA cohort tested positive for 10 different clinically significant somatic TP53 SNVs. At least one CNV was detected in samples sequenced from non-lesional oral mucosa in 10 out of 15 FA participants (66.7%), with numerous samples testing positive for multiple CNVs. The most frequently observed CNV was chromosome 9p isodisomy, observed in 6/15 participants (40%). Molecular analysis of 13 brushed lesions demonstrated 2 distinct clinically significant TP53 somatic variants in one lesion and multiple CNVs in 3 lesions, all from one individual with FA. Cytology and DNA ploidy analyses were negative in 2 lesions, the third lesion showed suspicious cytology, resulting in a surgical biopsy, which was negative. Analysis of additional samples and recruitment of FA participants is ongoing. Conclusions This study validates noninvasive screening applications for identification of somatic molecular changes in the normal-appearing mucosa in patients with FA. Further studies will assess if these changes can be used as surrogate biomarkers of a short-term outcome for the evaluation of preventative treatment effectiveness in FA-associated oSCC and early diagnosis.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,004
Tête enseignante GPT0,218
Écart entre enseignants0,214 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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
Publié2024
Routes d'admission1
Résumé présentoui

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