henhaobio
Sign in

JCO Oncology PracticeGenetic & Genomic MedicinePeer-reviewed journal article

Widespread adoption of precision anticancer therapies after implementation of pathologist-directed comprehensive genomic profiling across a large US health system

Alexa K. DowdelliD, Ryan MengiD, Ann VitaiD, Bela Bapat, Douglas Allen HanesiD, Shu‐Ching ChangiD, Lauren Harold, Mark Schmidt, Cliff WongiD, Hoifung PooniD, Brock Schroeder, Roshanthi K. WeerasingheiD, Rom S. LeidneriD, Walter John UrbaiD, Carlo Bruno BifulcoiD, Brian PieningiD

PDFDOIPreprint

Abstract

Precision therapies and immunotherapies have revolutionized cancer care, resulting in significant gains in patient survival across tumor types. Despite this transformation in care, there is variability in the utilization of tumor molecular profiling. To standardize testing, we designed a pathologist-directed test ordering system at time of diagnosis utilizing a 523-gene DNA/RNA hybrid comprehensive genomic profiling (CGP) panel. We assessed actionability rates, therapy choices, and outcomes among 3,216 patients. 49% of cases had at least one actionable genomic biomarker-driven (GBD) approved and/or guideline-recommended targeted or immunotherapy and 53% of patients would have been eligible for a precision therapy clinical trial from three large basket trials. When assessing CGP versus an insilico 50 gene panel, 67% of tumors compared to 33% harbored actionable alterations. Among patients with 6-months or more of follow-up, over 52% received a targeted therapy or immunotherapy, versus 32% that received conventional chemotherapy alone, a phenomenon not previously observed. Statement of SignificanceThis study represents the first report where precision therapies (targeted and immunotherapy) have overtaken traditional cytotoxic treatments in the routine community-based care of advanced cancer patients, resulting in better overall survival. This represents an important milestone in the evolution and adoption of precision oncology and highlights the importance of CGP.

Citations
13
FWCI
2.60
Field percentile
top 9%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKim '24Lenting '18Shugg '22Schneider '26Kancherla '20Raspin '25
56% semantic matchGenetic & Genomic Medicine
Ryul Kim, Seokhwi Kim, Brian Baek-Lok Oh+57 more·Experimental & Molecular Medicine·Aug 13, 2024· 27 citations