EXaCT-2: An augmented and customizable oncology-focused whole exome sequencing platform
Waltman, P. H.; Chandra, P.; Eng, K. W.; Wilkes, D. C.; Park, H.; Pabon, C.; Kane, T.; Delpe, P.; Fernandez, E.; Gorski, K.; Bhinder, B.; Simi, M.; King, A.; Greco, N.; Manohar, J.; Tang, J. M.; Zisimopoulos, P.; Assaad, M. A.; Teneyck, T.; Roberts, D.; Monge, J.; Demichelis, F.; Tam, W.; Ouseph, M. M.; Sigaras, A.; Beltran, H.; Rennert, H.; Lindeman, N.; Song, W.; Solomon, J.; Mosquera, J. M.; Kim, R.; Catalano, J.; Hassane, D. C.; Sigouros, M.; Elemento, O.; Alonso, A.; Sboner, A.
Show abstract
With the rapid advances in cancer research, the list of variants and genes that drive human diseases is constantly expanding. Moreover, the FDA has approved more cancer therapies that incorporate a broader set of genomic features than simple gene variants such as Tumor Mutation Burden (TMB), microsatellite instability status (MSI), and fusion events in gene families such as the NTRK receptors. These features currently require multiple testing methods (IHC/FISH/etc.). With the cost of NGS testing dropping, it is now possible to envision an NGS assay capable of reliably detecting these features without the need for additional testing. The EIPM multidisciplinary team has developed EXaCT-2: a whole exome sequencing (WES) assay that gives the coverage of a targeted assay on cancer genes and the breadth to detect copy number events, cancer-related fusions, and viruses, which can facilitate diagnostic and therapeutic decisions for cancer patients. We evaluated EXaCT-2 on 250 matched tumor/normal pairs and compared its performance with orthogonally validated results. We show the assay achieves the expected coverage of critical cancer genes, provides a better characterization of somatic copy number alterations, detects common cancer rearrangements and viruses, and enables the accurate estimation of global molecular metrics, such as tumor mutational burden and microsatellite instability. Further, we demonstrate the sensitivity of the assay to identify sub-clonal mutations that standard whole-exome assays are incapable of detecting, including the presence of KRAS mutations in samples previously believed to only contain wild-type KRAS, as well aging-related, somatic mosaicism in a phenotypically benign sample that is proximal to endometrial cancer.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Partner-independent fusion gene detection by multiplexed CRISPR/Cas9 enrichment and long-read Nanopore sequencing 96%
- Uniform Genomic Data Analysis in the NCI Genomic Data Commons 95%
- Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes 95%
Similar papers in this journal
- Short and long-read genome sequencing methodologies for somatic variant detection; genomic analysis of a patient with diffuse large B-cell lymphoma 96%
- Molecular counting enables accurate and precise quantification of methylated ctDNA for tumor-naive cancer therapy response monitoring 96%
- Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing 95%
Similar papers in this journal
- Evaluating the transcriptional fidelity of cancer models 94%
- DNA methylation reveals distinct cells of origin for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs) 93%
- Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering 93%
Similar papers in this journal
- Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures 92%
- Joint estimation and imputation of variant functional effects using high throughput assay data 92%
- Hi-C for genome-wide detection of enhancer-hijacking rearrangements in routine lymphoid cancer biopsies 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.