Oncomine™ Comprehensive Assay v3 vs. Oncomine™ Comprehensive Assay Plus.

Cancers (Basel)

Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, DK-2730 Herlev, Denmark.

Published: October 2021

AI Article Synopsis

  • The integration of next-generation sequencing with targeted gene panels has enhanced our understanding of tumor biology, enabling better identification of crucial genomic biomarkers for cancer diagnosis and treatment.
  • The Oncomine™ Comprehensive Assay v3 (OCAv3) analyzes 161 cancer-related genes, while the newer Oncomine™ Comprehensive Assay Plus (OCA-Plus) expands this to 501 genes and includes additional assays, though validation of its new features is still needed.
  • Analysis of ovarian cancer samples using both assays showed a 91% agreement on likely-pathogenic mutations, indicating that OCA-Plus effectively captures the mutational profiles of overlapping genes without sacrificing accuracy compared to OCAv3.

Article Abstract

The usage of next generation sequencing in combination with targeted gene panels has enforced a better understanding of tumor compositions. The identification of key genomic biomarkers underlying a disease are crucial for diagnosis, prognosis, treatment and therapeutic responses. The Oncomine™ Comprehensive Assay v3 (OCAv3) covers 161 cancer-associated genes and is routinely employed to support clinical decision making for a therapeutic course. An improved version, Oncomine™ Comprehensive Assay Plus (OCA-Plus), has been recently developed, covering 501 genes (144 overlapping with OCAv3) in addition to microsatellite instability (MSI) and tumor mutational burden (TMB) assays in one workflow. The validation of MSI and TMB was not addressed in the present study. However, the implementation of new assays must be validated and confirmed across multiple samples before it can be introduced into a clinical setting. Here, we report the comparison of DNA sequencing results from 50 ovarian cancer formalin-fixed, paraffin-embedded samples subjected to OCAv3 and OCA-Plus. A validation assessment of gene mutations identified using OCA-Plus was performed on the 144 overlapping genes and 313,769 intersecting nucleotide positions of the OCAv3 and the OCA-Plus. Our results showed a 91% concordance within variants classified as likely-pathogenic or pathogenic. Moreover, results showed that a region of is poorly covered by the OCA-Plus assay, hence, we implemented rescue filters for those variants. In conclusion, the OCA-Plus can reflect the mutational profile of genomic variants compared with OCAv3 of 144 overlapping genes, without compromising performance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533843PMC
http://dx.doi.org/10.3390/cancers13205230DOI Listing

Publication Analysis

Top Keywords

oncomine™ comprehensive
16
comprehensive assay
16
144 overlapping
12
ocav3 oca-plus
8
overlapping genes
8
oca-plus
6
assay
5
ocav3
5
oncomine™
4
assay oncomine™
4

Similar Publications

Background: Trastuzumab deruxtecan (T-DXd) has shown promising activity in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC) and central nervous system (CNS) involvement. In this updated meta-analysis, we explore the effectiveness of T-DXd in a large subset of patients with HER2-positive BC and CNS disease.

Methods: A systematic search was made on September 16th, 2024, for studies investigating T-DXd in the scenario of HER2-positive BC and brain metastases (BMs) and/or leptomeningeal disease (LMD).

View Article and Find Full Text PDF

Emergency managers' challenges with wildfires and related cascading hazards in California.

J Environ Manage

January 2025

Department of Psychological Science, University of California, Irvine, CA, 92697, USA; Department of Medicine, University of California, Irvine, CA, 92697, USA; Department of Health, Society, and Behavior, University of California, Irvine, CA, 92697, USA; Department of Population Health and Disease Prevention, University of California, Irvine, CA, 92697, USA.

This study investigates the complexities faced by emergency managers in wildfire-prone areas to uncover pressing issues and potential solutions. Four themes are discerned through three focus group discussions with emergency managers from nine counties across California. First, there is unequal access to resources for both risk assessment and response, with counties that have fewer resources facing significant challenges in effectively managing wildfire risks.

View Article and Find Full Text PDF

Microbial coalescence plays a crucial role in shaping aquatic ecosystems by facilitating the merging of neighboring microbial communities, thereby influencing ecosystem structure. Although this phenomenon is commonly observed in natural environments, comprehensive quantitative comparative studies on different lifestyle bacteria involved in this process are still lacking. The study focuses on 16S rRNA Amplicon Sequence Variants (ASVs) at the Jinsha River hydropower stations (Wudongde [WDD], Baihetan [BHT], Xiluodu [XLD], Xiangjiaba [XJB]), specifically examining free-living (FL) and particle-attached (PA) bacteria.

View Article and Find Full Text PDF

Occult collision tumor of the gastroesophageal junction comprising adenocarcinomas with distinct molecular profiles.

Cancer Genet

January 2025

Department of Pathology and Laboratory Medicine, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA; Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.

Collision tumors, characterized by the coexistence of two unique neoplasms in close approximation, are rare and pose diagnostic challenges. This is particularly true when the unique neoplasms are of the same histologic type. Here we report such a case where comprehensive tumor profiling by next generation sequencing (NGS) as well as immunohistochemistry revealed two independent adenocarcinomas comprising what was initially diagnosed as a single adenocarcinoma of the gastroesophageal (GEJ) junction.

View Article and Find Full Text PDF

Automated Classification of Cardiac Arrhythmia using Short-Duration ECG Signals and Machine Learning.

Biomed Phys Eng Express

January 2025

Electronics and Communication Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, ITANAGAR, Itanagar, Arunachal Pradesh, 791112, INDIA.

Accurate detection of cardiac arrhythmias is crucial for preventing premature deaths. The current study employs a dual-stage Discrete Wavelet Transform (DWT) and a median filter to eliminate noise from ECG signals. Subsequently, ECG signals are segmented, and QRS regions are extracted for further preprocessing.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!