Mutational Characterisation and Tracking Disease Progression Using Circulating Cell-Free Tumor DNA in Multiple Myeloma Patients
Notice bibliographique
Résumé
Abstract Background: Multiple myeloma (MM) currently relies on bone marrow (BM) biopsy for mutational characterisation, which does not capture the putative spatial and genetic heterogeneity of this multi-focal disease. Circulating cell-free tumour DNA (ctDNA) is a powerful non-invasive biomarker, which is being utilised to monitor tumor dynamics in a number of cancers. In this study, analysis of peripheral blood plasma (PL) - derived ctDNA and contemporaneously sourced BM MM cells was undertaken to determine if ctDNA can be utilised as an adjunct to BM biopsy for mutational characterisation and non-invasive therapeutic monitoring of disease progression. Methods: Blood (30ml) from MM patients was collected into Streck Cell-Free DNA BCT tubes and DNA extracted using the QIAamp circulating nucleic acid kit (Qiagen). BM aspirates from MM patients were CD138 enriched and subject to DNA extraction (Qiagen). Paired BM MM DNA and PL samples from 54 patients (New Diagnosis (ND) = 17; Relapsed/ Refractory (RR) = 35 and monoclonal gammopathy of undetermined significance (MGUS) =2] were analysed in the high-sensitive OnTargetTM mutation detection platform (OMD, Boreal Genomics) that included 96-mutations in the KRAS, NRAS, CTNNB1, EGFR, PIK3CA, TP53, FOXL2, GNAS and BRAF genes. OMD findings were validated with ddPCR (Biorad QX200 droplet digital PCR system). Sequential ctDNA quantitation with ddPCR through longitudinal PL tracking of specific clones in two patients for the monitoring of disease was also performed. Results: OMD detected a total of 141 mutations (BM and PL=42; BM-only=63 and PL only=36) with the presence of mutations in the PL (55.3%) authenticating the existence of ctDNA harbouring mutations. The detection of PL-only mutations (25.5%) signified the existence of mutant clones predominantly or exclusively, distant to the BM biopsy site. RR patients had a higher number of PL-only mutations compared to ND (34 vs 2 mutations), with none detected in MGUS, denoting that spatial and genetic heterogeneity is more evident in patients with advanced disease. Activating RAS mutations were highly prevalent in 34/54 patients (63%) harboring at least one RAS mutation. Specifically, KRAS mutations were found in 26/54 patients (48%), with 17/35 RR (48.5%), 9/17 ND (53%) and 1/2 MGUS patients harboring at least 1 KRAS mutation, indicating that mutations in this gene occur early in MM pathogenesis. NRAS mutations were found to be present at a higher frequency in RR patients compared to ND patients (45.7% vs 35.2%). BRAF mutations were equally distributed amongst RR and ND patients, in contrast, TP53 mutations were found exclusively in RR patients. Additionally, in 2 RR patients, a total of 5 PIK3CA mutations (E542K, E545K, H1047R, C420R, E81K) were present, 4 of which were found in PL-only, denoting the presence of these mutations distant to the BM biopsy site. Two ND patients had 1 GNAS mutation each (R201H and R201C). Preliminary validation of the OMD findings was performed in 12 patients using ddPCR with 90.9% concordance between the two platforms. Furthermore, 4/13 mutations (30.7%) that were negative in OMD were detected by ddPCR, indicating a higher sensitivity for ddPCR. Sequential ddPCR of ctDNA for Patient #1 with advanced relapsed disease for previously identified TP53 R273H and KRAS G12D mutations showed that the fractional abundance of KRAS G12D rapidly increased coincident with relapse of the disease, while that of TP53 273H did not change significantly over time. For Patient #2, relapsed disease was associated with the reappearance of mutant KRAS G12V and KRAS G12D clones that had been present at diagnosis in the BM and the emergence of 2 new clones NRAS G13D and NRAS Q61K. Conclusions This study provides the groundwork for utilisation of PL-ctDNA as an adjunct to BM biopsy for comprehensive mutational characterisation and as a non-invasive biomarker for therapeutic monitoring in MM patients. Importantly, a higher frequency of RAS mutations and presence of mutations in PIK3CA and GNAS, which have not been previously reported in MM, provides evidence of a more complex mutational landscape in MM than previously shown with BM whole exome sequencing studies. Furthermore, sequential PL tracking of specific mutant clones in two patients enabled monitoring of tumor dynamics. In conclusion, incorporating PL ctDNA evaluation may represent a significant advance in attempts to personalize future MM treatment strategies. Disclosures Mai: Boreal Genomics: Employment. Walsh:Boreal Genomics: Employment. Broemeling:Boreal Genomics: Employment. Marziali:Boreal Genomics: Employment. Wiggin:Boreal Genomics: Employment.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,001 | 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 ».