RESUMO
Myeloid neoplasms represent a broad spectrum of hematological disorders for which somatic mutation status in key driver genes is important for diagnosis, prognosis and treatment. Here we summarize the findings of a targeted, next generation sequencing laboratory developed test in 24,639 clinical myeloid samples. Data were analyzed comprehensively and as part of individual cohorts specific to acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). Overall, 48,015 variants were detected, and variants were found in all 50 genes in the panel. The mean number of mutations per patient was 1.95. Mutation number increased with age (Spearman's rank correlation coefficient, ρ = 0.29, P < 0.0001) and was higher in patients with AML than MDS or MPN (Student's t-test, P < 0.0001). TET2 was the most common mutation detected (19.1% of samples; 4,695/24,639) including 7.7% (1,908/24,639) with multi-hit TET2 mutations. Mutation frequency was correlated between patients with cytopenias and MDS (Spearman's, ρ = 0.97, P < 2.2×10-16) with the MDS diagnostic gene SF3B1 being the only notable outlier. This large retrospective study shows the utility of NGS testing to inform clinical decisions during routine clinical care and highlights the mutational landscape of a broad population of myeloid patients.
Assuntos
Leucemia Mieloide Aguda , Síndromes Mielodisplásicas , Transtornos Mieloproliferativos , Humanos , Estudos Retrospectivos , Mutação/genética , Transtornos Mieloproliferativos/genética , Síndromes Mielodisplásicas/genética , Síndromes Mielodisplásicas/patologia , Leucemia Mieloide Aguda/patologiaRESUMO
Methods that enable monitoring of therapeutic efficacy of autologous chimeric antigen receptor (CAR) T-cell therapy will be clinically useful. The aim of this study is to demonstrate the feasibility of blood-derived cell-free DNA (cfDNA) to predict CAR T-cell therapy response in patients with refractory B-cell lymphomas. Whole blood was collected before and throughout CAR T-cell therapy until day 154. Low-coverage (â¼0.4×), genome-wide cfDNA sequencing, similar to that established for noninvasive prenatal testing, was performed. The genomic instability number (GIN) was used to quantify plasma copy number alteration level. Twelve patients were enrolled. Seven (58%) patients achieved a complete response (CR); 2 (25%), a partial response. Median progression-free survival was 99 days; median overall survival was not reached (median follow-up, 247 days). Altogether, 127 blood samples were analyzed (median, 10 samples/patient [range 8-13]). All 5 patients who remained in CR at the time of last measurement had GIN <170 (threshold). Two patients who attained CR, but later relapsed, and all but one patient who had best response other than CR had last GIN measurement of >170. In 5 of 6 patients with relapsed or progressive disease, increasing GIN was observed before the diagnosis by imaging. The abundance of CAR T-cell construct (absolute number of construct copies relative to the number of human genome equivalents) also showed a trend to correlate with outcome (day 10, P = .052). These data describe a proof-of-concept for the use of multiple liquid biopsy technologies to monitor therapeutic response in B-cell lymphoma patients receiving CAR T-cell therapy.
Assuntos
Ácidos Nucleicos Livres , Linfoma de Células B , Receptores de Antígenos Quiméricos , Antígenos CD19/genética , Humanos , Imunoterapia Adotiva , Linfoma de Células B/genética , Receptores de Antígenos Quiméricos/genéticaRESUMO
When tissue biopsy is not medically prudent or tissue is insufficient for molecular testing, alternative methods are needed. Because cell-free DNA (cfDNA) has been shown to provide a representative surrogate for tumor tissue, we sought to evaluate its utility in this clinical scenario. cfDNA was isolated from the plasma of patients and assayed with low-coverage (â¼0.3×), genome-wide sequencing. Copy-number alterations (CNA) were identified and characterized using analytic methods originally developed for noninvasive prenatal testing (NIPT) and quantified using the genomic instability number (GIN), a metric that reflects the quantity and magnitude of CNAs across the genome. The technical variability of the GIN was first evaluated in an independent cohort comprising genome-wide sequencing results from 27,754 women who consented to have their samples used for research and whose NIPT results yielded no detected CNAs to establish a detection threshold. Subsequently, cfDNA sequencing data from 96 patients with known cancers but for whom a tissue biopsy could not be obtained are presented. An elevated GIN was detected in 35% of patients and detection rates varied by tumor origin. Collectively, CNAs covered 96.6% of all autosomes. Survival was significantly reduced in patients with an elevated GIN relative to those without. Overall, these data provide a proof of concept for the use of low-coverage, genome-wide sequencing of cfDNA from patients with cancer to obtain relevant molecular information in instances where tissue is difficult to access. These data may ultimately serve as an informative complement to other molecular tests.
Assuntos
Biomarcadores Tumorais/genética , Ácidos Nucleicos Livres/genética , Variações do Número de Cópias de DNA/genética , Neoplasias/genética , Sequenciamento Completo do Genoma/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Medicina de Precisão , Adulto JovemRESUMO
BACKGROUND: Circulating tumor DNA (ctDNA) offers high sensitivity and specificity in metastatic cancer. However, many ctDNA assays rely on specific mutations in recurrent genes or require the sequencing of tumor tissue, difficult to do in a metastatic disease. The purpose of this study was to define the predictive and prognostic values of the whole-genome sequencing (WGS) of ctDNA in metastatic breast cancer (MBC). METHODS: Plasma from 25 patients with MBC were taken at the baseline, prior to treatment (T0), one week (T1) and two weeks (T2) after treatment initiation and subjected to low-pass WGS. DNA copy number changes were used to calculate a Genomic Instability Number (GIN). A minimum predefined GIN value of 170 indicated detectable ctDNA. GIN values were correlated with the treatment response at three and six months by Response Evaluation Criteria in Solid Tumours assessed by imaging (RECIST) criteria and with overall survival (OS). RESULTS: GIN values were detectable (>170) in 64% of patients at the baseline and were significantly prognostic (41 vs. 18 months OS for nondetectable vs. detectable GIN). Detectable GIN values at T1 and T2 were significantly associated with poor OS. Declines in GIN at T1 and T2 of > 50% compared to the baseline were associated with three-month response and, in the case of T1, with OS. On the other hand, a rise in GIN at T2 was associated with a poor response at three months. CONCLUSIONS: Very early measurements using WGS of cell-free DNA (cfDNA) from the plasma of MBC patients provided a tumor biopsy-free approach to ctDNA measurement that was both predictive of the early tumor response at three months and prognostic.