New Assay Identifies Clinically Relevant Gene Fusions in Pediatric Tumors More Accurately and Efficiently

Identification of specific gene fusions is critical for the successful targeted treatment of pediatric cancer patients. Researchers at Children’s Hospital Los Angeles have developed a novel assay that automatically integrates the data from multiple fusion identification tools (callers) and efficiently and accurately identifies clinically relevant gene fusions in pediatric tumors. Their results 새 탭/창에서 열기 are reported in The Journal of Molecular Diagnostics 새 탭/창에서 열기, published by Elsevier.

Gene fusions are an important class of driver alterations in cancer that occur when parts of two different genes join. Numerous gene fusions have been identified across different types of cancer, especially in pediatric malignant cancers. For example, the PAX3-FOXO1 fusion gene is found in alveolar rhabdomyosarcoma but not in embryonal rhabdomyosarcoma. Targeted testing for gene fusions of interest at the DNA or RNA level is currently in clinical use as it has diagnostic, prognostic, and therapeutic significance.

Lead investigator Jonathan Buckley, MD, Center for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children’s Hospital Los Angeles; and Keck School of Medicine of USC, explains: “Accurate identification of gene fusions in pediatric tumors is critical for establishing a diagnosis and determining optimal treatment. Unfortunately, the leading software packages for calling fusions, based on genomic analysis of tumor tissue, yield many false positives and/or fusions of no clinical importance, and they differ substantially in the sets of fusions called. Therefore, there is a compelling need for a tool to assist the clinical molecular geneticist to filter and prioritize the fusion calls to maximize efficiency and accuracy.”

Dr. Buckley and his co-investigators developed, tested, and validated a new exome capture–based RNA-sequencing (RNAseq) assay. They used the Twist Bioscience Comprehensive Exome capture kit with RNA from fresh, frozen, or formalin-fixed samples from patients with pediatric hematologic malignancies and solid tumors and a gene fusion detection assay that employs four fusion callers (Arriba, FusionCatcher, STAR-Fusion, and Dragen). The new bioinformatics platform detects fusions, prioritizes them, and custom curates downstream processes for consensus fusion calling with high accuracy and efficiency.

While the four fusion-caller software packages are in wide use, their results typically include a large number of false-positive calls and/or identification of fusions of no clinical value. This presents a significant challenge in clinical reporting, both in terms of efficiency and accuracy.

The investigators were initially surprised to note the differences among the sets of fusions identified by the four callers given identical RNAseq data processes, similar approaches, and the same end goal.

Dr. Buckley noted: “We were pleasantly surprised to determine that integration of data from the four callers, and application of ad hoc ranking methods based on both the genomic data and references sources (related to the reported fusions and their component genes), was highly effective in highlighting the key clinical fusion(s).”

The software proved highly effective in pinpointing known clinically relevant fusions, ranking them first in 47 of 50 (94%) samples.

To highlight the usefulness of the new assay and to show the importance of a genome-wide and nontargeted method for fusion detection in pediatric cancer, the researchers present findings from three diagnostically challenging cases. The existing OncoKids DNA and RNA-based next-generation sequencing (NGS) assay used at the center did not identify driver gene fusions in these patients. However, the new method found disease-related gene fusions that were then confirmed by other established sequencing tests.

Dr. Buckley noted, “The full spectrum of gene fusions that function as drivers of tumorigenesis in pediatric tumors is still unknown. One gene can fuse with one or even hundreds of partner genes with the same net biologic effect. A genome-wide approach is therefore necessary when the expected or common gene fusions are not identified by routine methodologies.”

Senior author Jaclyn A. Biegel, PhD, Center for Personalized Medicine, Department of Pathology and Laboratory Medicine, Children’s Hospital Los Angeles; and Keck School of Medicine of USC, concluded, “Our studies demonstrate that the combination of an exome capture–based approach for RNAseq and a bioinformatics platform to streamline the analysis is both robust and efficient to accurately identify pathogenic gene fusions in bone marrow samples as well as fresh, frozen, and formalin fixed tissue specimens from pediatric cancer patients. Although we validated this for clinical use for childhood tumors, these approaches can easily be extended to adult patients with hematologic malignancies and solid tumors.”

Notes for editors

The article is “An Exome Capture-Based RNA-Sequencing Assay for Genome-Wide Identification and Prioritization of Clinically Important Fusions in Pediatric Tumors,” by Jonathan Buckley, Ryan J. Schmidt, Dejerianne Ostrow, Dennis Maglinte, Moiz Bootwalla, David Ruble, Ananthanarayanan Govindarajan, Jianling Ji, Alexandra E. Kovach, Etan Orgel, Gordana Raca, Fariba Navid, Leo Mascarenhas, Bruce Pawel, Nathan Robison, Xiaowu Gai, and Jaclyn A. Biegel (https://doi.org/10.1016/j.jmoldx.2023.11.003 새 탭/창에서 열기).The article appears in The Journal of Molecular Diagnostics, volume 26, issue 2 (February 2024), published by Elsevier.

It is openly available at https://www.jmdjournal.org/article/S1525-1578(23)00274-X/fulltext 새 탭/창에서 열기.

Full text of this article and additional information are also available to credentialed journalists upon request; contact Eileen Leahy at +1 732 406 1313 or [email protected] 새 탭/창에서 열기. Journalists wishing to interview Dr. Jonathan Buckley or Dr. Jaclyn A. Biegel should contact Marlen Bugarin at +1 323 361 5567 or [email protected] 새 탭/창에서 열기.

This enrichment-based, clinically validated RNAseq assay for detection of oncogenic fusions in cancer was used in a recent pilot study 새 탭/창에서 열기 to help determine subtype classification in addition to fusion information for pediatric B-acute lymphoblastic leukemia cases at the Children’s Hospital of Los Angeles.

About The Journal of Molecular Diagnostics

The Journal of Molecular Diagnostics 새 탭/창에서 열기, the official publication of the Association for Molecular Pathology, co-owned by the American Society for Investigative Pathology, and published by Elsevier, seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome review articles that contain: novel discoveries or clinicopathologic correlations, including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods for diagnosis or monitoring of disease or disease predisposition. www.jmdjournal.org 새 탭/창에서 열기

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