Case report: Single gene testing and comprehensive genomic profiling in non-small cell lung cancer—a case series of divergent results from a large reference laboratory

Clinical management of non-small cell lung cancer (NSCLC) requires accurate identification of tumor-specific genetic alterations to inform treatment options. Historically, providers have relied on single-gene testing (SGT) for actionable variants due to a perception of cost-effectiveness and/or efficient turnaround time compared to next-generation sequencing (NGS). However, not all actionable variants may be evaluated through SGT modalities, and an SGT approach can exhaust valuable tissue needed for more comprehensive analyses. In contrast, comprehensive genomic profiling (CGP) tests employ NGS to sequence megabases of DNA and RNA to evaluate all relevant molecular alterations, providing a broader genetic profile to identify actionable alterations that SGT may not accurately or efficiently assess. Here, we briefly describe four cases from a large reference laboratory in which actionable alterations were identified by CGP but not SGT. The discussion highlights the utility and advantages of using CGP to provide complete and timely treatment options and clinical trial opportunities for patients with NSCLC.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2024-10-31
DOI
https://doi.org/10.3389/fonc.2024.1445668
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Case report: Single gene testing and comprehensive genomic profiling in non-small cell lung cancer—a case series of divergent results from a large reference laboratory

Taylor J. Jensen, Kamal S. Saini, Shakti Ramkissoon, Eric A. Severson et al.
1 citations
Frontiers in Oncology
Cancer Genomics and Diagnostics
0.29
article

Case report: Single gene testing and comprehensive genomic profiling in non-small cell lung cancer—a case series of divergent results from a large reference laboratory

Taylor J. Jensen, Kamal S. Saini, Shakti Ramkissoon, Eric A. Severson, Jeffrey M. Conroy, Zachary D. Wallen, Marcia Eisenberg, Luca Cantini, Sarabjot Pabla, Rebecca A. Previs, Brian Caveney, Mary Nesline, Heidi Ko, Kyle C. Strickland, Jennifer R. Rushton, Mark Sausen, Maureen Cooper
article en
1 citations

Abstract

Clinical management of non-small cell lung cancer (NSCLC) requires accurate identification of tumor-specific genetic alterations to inform treatment options. Historically, providers have relied on single-gene testing (SGT) for actionable variants due to a perception of cost-effectiveness and/or efficient turnaround time compared to next-generation sequencing (NGS). However, not all actionable variants may be evaluated through SGT modalities, and an SGT approach can exhaust valuable tissue needed for more comprehensive analyses. In contrast, comprehensive genomic profiling (CGP) tests employ NGS to sequence megabases of DNA and RNA to evaluate all relevant molecular alterations, providing a broader genetic profile to identify actionable alterations that SGT may not accurately or efficiently assess. Here, we briefly describe four cases from a large reference laboratory in which actionable alterations were identified by CGP but not SGT. The discussion highlights the utility and advantages of using CGP to provide complete and timely treatment options and clinical trial opportunities for patients with NSCLC.

Frontiers in OncologyVol. 14
Baptist Health System (US), LabCorp (United States) (US), Cambridge University Hospitals NHS Foundation Trust (GB), Duke Medical Center (US), Addenbrooke's Hospital (GB), Wake Forest University (US)
Good health and well-being
Openalex Percentile: Top 38%
Cancer Genomics and Diagnostics
0.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.