Impact of next generation sequencing results on clinical management in patients with hematological disorders

Analysis of gene mutation characteristics and its correlation with prognosis in patients with myelodysplastic syndromes

Gene mutations are a pivotal component of the pathogenesis of MDS, and they hold profound prognostic significance for predicting treatment responses and survival outcomes. However, reports about mutation patterns in Chinese MDS patients are limited. In this study, we analyzed the genetic mutation of 23 genes in 231 patients with MDS using next-generation sequencing (NGS) technology, and explored the characteristics of gene mutations in MDS patients and their associations with clinical outcomes, survival, and transformation outcomes. Our results showed that 68.83% patients had at least one gene mutation, and the most common mutations were ASXL1 (21.65%), SF3B1 (17.32%), U2AF1 (16.02%), TET2 (14.72%) and TP53 (8.66%). We also showed that the genetic mutations of TP53, U2AF1 and DNMT3A are independent risk factors for death in patients with MDS, and the ETV6 gene mutation was an independent risk factor for the transformation of MDS patients to AML through the univariate and multivariate Cox regression analysis model. Additionally, the study developed a risk score based on gene mutation data that demonstrated robust predictive capability and stability for the overall survival of MDS patients. Our research provided a strong theoretical basis for the establishment of personalized treatment and prognostic risk assessment models for Chinese MDS patients.

Die Bedeutung der Hochdurchsatz-Sequenzierung in der medizinisch genetischen Diagnostik und Beratung

Next-Generation-Sequencing ist ein modernes diagnostisches Hochdurchsatz-Verfahren (Multi-Gen-Analysen), durch dessen Einsatz sowohl hereditäre Krebserkrankungen (Tumordispositionssyndrome, Keimbahndiagnostik) als auch somatische Alterationen in Tumoren besser abgeklärt werden können. Der breitere Einsatz dieser Technologie im medizinischen Alltag zeigt das tatsächliche Ausmaß der interindividuellen genetischen Variabilität. Wichtige Bedeutung hat dieses Verfahren für die Untersuchung von heterogenen genetischen Erkrankungen (z. B. Tumorerkrankungen, neurodegenerativen und -muskulären Erkrankungen) erlangt. Weitere Indikationsgebiete stellen die Pharmakogenetik sowie die nicht invasive Pränataldiagnostik dar. Es ist zu erwarten, dass dieses diagnostische Mittel eine breite klinische Anwendung finden wird. Mit der rasanten Zunahme und Komplexität genetischer Dateninformationen nimmt die richtige Interpretation und Übermittlung der Befunde in der humangenetischen Beratung (Keimbahndiagnostik) einen hohen Stellenwert ein. Die genetische Beratung muss entsprechend neu ausgerichtet und adaptiert werden.

Machine Learning–Based Exploratory Clinical Decision Support for Newly Diagnosed Patients With Acute Myeloid Leukemia Treated With 7 + 3 Type Chemotherapy or Venetoclax/Azacitidine

PURPOSE

There are currently limited objective criteria to help assist physicians in determining whether an individual patient with acute myeloid leukemia (AML) is likely to do better with induction with either standard 7 + 3 chemotherapy or targeted therapy with venetoclax plus azacitidine. The study goal was to address this need by developing exploratory clinical decision support methods.

PATIENTS AND METHODS

Univariable and multivariable analysis as well as comparison of a range of machine learning (ML) predictors were performed using cohorts of 120 newly diagnosed 7 + 3-treated AML patients compared with 101 venetoclax plus azacitidine–treated patients.

RESULTS

A variety of features in the two patient cohorts were identified that may potentially correlate with short- and long-term outcomes, toxicities, and other considerations. A subset of these diagnostic features was then used to develop ML-based predictors with relatively high areas under the curve of short- and long-term outcomes, hospital stays, transfusion requirements, and toxicities for individual patients treated with either venetoclax/azacitidine or 7 + 3.

CONCLUSION

Potential ML-based approaches to clinical decision support to help guide individual patients with newly diagnosed AML to either 7 + 3 or venetoclax plus azacitidine induction therapy were identified. Larger cohorts with separate test and validation studies are necessary to confirm these initial findings.

Diagnostic Impact of Next-Generation Sequencing Panels for Lymphoproliferative Neoplasms on Small-Volume Biopsies

OBJECTIVES

We investigated the feasibility and utility of next-generation sequencing (NGS)-based targeted somatic mutation panels and IG/TR gene rearrangement assays in the diagnosis of lymphoproliferative disorders (LPDs) in small-volume biopsies.

MATERIALS

We performed a retrospective, single-institution review of all NGS assays requested over a 3-year period by hematopathologists for diagnostic purposes on small-volume biopsies.

RESULTS

We identified 59 small-volume biopsies. The TR assay was most commonly requested (42 [71%]), followed by the somatic mutation panel (32 [54%]) and IG assay (26 [44%]). NGS studies were associated with a change in the diagnostic line in about half of cases (28 [47%]) and in a change in the likelihood of a diagnosis in a further 16 cases (27%); there was no diagnostic impact of NGS testing in 15 cases (25%).

CONCLUSIONS

Implementation of NGS panel somatic mutation or IG/TR gene rearrangement assays on small-volume biopsies contributes to the diagnosis of LPDs in the majority of select cases for diagnostic purposes. The molecular diagnosis is considered in the context of the clinical, histologic, and immunophenotypic findings and does not by itself lead to a definitive diagnosis in small-volume biopsies.