| 18 |
2024 |
Profiling Cell Free DNA from Malignant Pleural Effusion for Oncogenic Driver Mutations in Patients with Treatment Naive Stage IV Adenocarcinoma: A Multicenter Prospective Study
Abstract
Introduction
Comprehensive next-generation sequencing (NGS) of non-small-cell lung cancer specimens can identify oncogenic driver mutations and their corresponding targeted therapies. Plasma cell-free DNA (cfDNA) genotyping is easy to perform; however, false negatives cannot be overlooked. We explored malignant pleural effusion (MPE), a rich source of cfDNA, as a non-inferior alternative to tumor tissues for genotyping.
Methods
We conducted a prospective trial including 39 patients with newly diagnosed stage IV lung adenocarcinoma who presented with MPE. Tissue tests matching hotspot variants, including EGFR, ALK, and ROS1, were compared with the AlphaLiquid100 of PE-cfDNA.
Results
Among the 39 PE-cfDNA samples successfully sequenced, 32 (82.1%) had a PE cell-block tumor content of < 10%. Standard tissue or cell-block testing for EGFR, ALK, and ROS1 identified 20 mutations (51.3%), whereas PE cfDNA identified 25 mutations (64.1%). Five EGFR mutations were observed in PE cfDNA but not in Cobas EGFR owing to coverage or insufficient tumor content issues. The overall rate of oncogenic mutations identified in the PE cfDNA was 92.3%, and the mutation distribution was as follows: even with a very low cfDNA input, high detection rates could be achieved. Otherwise, most patients harbored co-mutations. Comparison of pleural fluid NGS with traditional testing revealed differences in accuracy. We also followed up with patients with EGFR-sensitizing mutations who had a treatment response rate of 97.2% after 3 months.
Conclusions
Genotyping of MPE supernatant cfDNA is feasible in clinical practice, in addition to plasma and tumor testing, to improve diagnostic yield and extend patients’ benefit fr|om targeted therapies.
|
Molecular Diagnosis & Therapy |
リンクを見る
|
| 17 |
2024 |
Analytical and Clinical Validation of a Highly Sensitive NGS-Based ctDNA Assay with Real-World Concordance in NSCLC
ABSTRACT
PurposeThere have been needs to improve the sensitivity of liquid biopsy. This report aims to report the analytical and clinical validation of a next generation sequencing (NGS)-based circulating tumor DNA (ctDNA) assay.Materials and MethodsAnalytical validation was conducted in vitro by evaluating the limit of detection (LOD), precision, and specificity for various genomic aberrations. The real-world performance in non-small cell lung cancer (NSCLC) was assessed by comparing the results of AlphaLiquid®100 to the tissue-based results.ResultsThe LODs with 30 ng input DNA were 0.11%, 0.11%, 0.06%, 0.21%, and 2.13 copies for detecting SNVs, insertions, deletions, fusions, and copy number alterations (CNA), respectively. Quantitatively, SNV/INDELs, fusions, and CNAs showed a good correlation (R2=0.91, 0.40, and 0.65; y=0.95, 1.06, and 1.19) to the manufacturer’s values, and per-base specificities for all types of variants were near 100%. In real-world NSCLC (n=122), key actionable mutations in NSCLC were detected in 60.7% (74/122) with the ctDNA assay. Comparative analysis against the NGS-based tissue results for all key mutations showed positive percent agreement (PPA) of 85.3%. For individual genes, the PPA was as high as 95.7% for EGFR mutations and 83.3% for ALK translocations. AlphaLiquid 100 detected drug-sensitive EGFR mutation at a variant allele frequency as low as 0.02% and also identified an EGFR mutation in a case where tissue sample missed. Blood samples collected post-targeted therapies revealed additional acquired mutations.ConclusionThe AlphaLiquid®100 ctDNA assay demonstrates robust analytical validity, offering clinically important information for NSCLC patients.
|
Cancer Research and Treatment |
リンクを見る
|
| 16 |
2023 |
Cancer signature ensemble integrating cfDNA methylation, copy number, and fragmentation facilitates multi-cancer early detection
Abstract
Cell-free DNA (cfDNA) sequencing has demonstrated great potential for early cancer detection. However, most large-scale studies have focused only on either targeted methylation sites or whole-genome sequencing, limiting comprehensive analysis that integrates both epigenetic and genetic signatures. In this study, we present a platform that enables simultaneous analysis of whole-genome methylation, copy number, and fragmentomic patterns of cfDNA in a single assay. Using a total of 950 plasma (361 healthy and 589 cancer) and 240 tissue samples, we demonstrate that a multifeature cancer signature ensemble (CSE) classifier integrating all features outperforms single-feature classifiers. At 95.2% specificity, the cancer detection sensitivity with methylation, copy number, and fragmentomic models was 77.2%, 61.4%, and 60.5%, respectively, but sensitivity was significantly increased to 88.9% with the CSE classifier (p value < 0.0001). For tissue of origin, the CSE classifier enhanced the accuracy beyond the methylation classifier, fr|om 74.3% to 76.4%. Overall, this work proves the utility of a signature ensemble integrating epigenetic and genetic information for accurate cancer detection.
|
Experimental & Molecular Medicine |
リンクを見る
|
| 15 |
2023 |
|
British Journal of Cancer |
リンクを見る
|
| 14 |
2023 |
|
Cancers |
リンクを見る
|
