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Presentation
72 Routine use of comprehensive genomic profiling to assess tumor mutational burden across a community health system
Journal of ImmunoTherapy of Cancer
  • Carlo Bifulco, Earle A. Chiles Research Institute, Robert W. Franz Cancer Research Center, Providence Portland Medical Center, Portland, OR
  • Roshanthi Weerasinghe, Providence St Joseph Health, Renton, WA.
  • Bela Bapat
  • Alexa K Dowdell, Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA.
  • Shwetha Pindikuri, Providence St. Joseph Health
  • Sheila Reynolds, Providence St. Joseph Health
  • Nancy Biery, Providence St. Joseph Health
  • David Ball, Providence St. Joseph Health
  • Mary Campbell, Providence St. Joseph Health
  • Thomas R Ward, Providence St. Joseph Health
  • Alisha Stein
  • Brock Schroeder
  • David Eberhard
  • Brian D. Piening, Molecular Genomics Laboratory, Providence Portland Medical Center, Portland, OR; Earle A. Chiles Research Institute, Robert W. Franz Cancer Research Center, Providence Portland Cancer Center, Portland, OR.
Document Type
Presentation
Publication Date
11-9-2020
Disciplines
Abstract

Background Tumor mutational burden (TMB), defined as the average number of somatic mutations per megabase (mut/Mb) of DNA in tumor cells, has emerged as a predictive biomarker for response to immune checkpoint inhibitor (ICI) therapy. With more widespread adoption of comprehensive genomic profiling (CGP) assays in the clinic, it is now possible to routinely assess TMB across a wide variety of advanced cancers. Here we performed a retrospective study of routine TMB results assessed from CGP testing across a large community health system to reveal novel insights into the proportion of patients that may benefit from ICI treatment.

Methods Patients in the Providence St. Joseph Healthcare system diagnosed with advanced or metastatic solid tumors and tested for TMB using CGP tests (TruSight Oncology 500, research use only) between July 2019 and July 2020 were considered in this study. Deidentified electronic medical record data and CGP results were abstracted for downstream study.

ResultsA total of 1300 patients had one or more CGP tests with a TMB calculation. The median age of patients was 66 years, 51% were female, and 59% were white. TMB values ranged from 0–536 mutations per mut/Mb. Across tumor types, the proportion of patients with TMB ≥10 mut/Mb was 26% (n=341) and with TMB 5–9 mut/Mb was 27% (n=353). The proportion of patients with TMB ≥10 mut/Mb varied by tumor type: Melanoma (60%), NSCLC (42%), CRC (24%), pancreatic (5%). Of all the TMB-tested patients, 90 (7%) received IO therapy post testing. IO therapy use was highest among patients with TMB ≥10 mut/Mb (12%), followed by 7% with TMB of 5–9 mut/Mb, and 4% with TMB of 0–5 mut/Mb. Twenty-nine percent of TMB ≥10 also had high PD-L1 expression by IHC as compared to 8% of TMB

Conclusions A minority of TMB ≥10 patients assessed in this study received an ICI therapy, a result that is likely reflective of the lack of definitive guidelines for this emerging biomarker. As the adoption of TMB increases as a biomarker of immunotherapy response, there is a greater need to expedite the standardization of sample collection, processing, and bioinformatics in TMB assessment.

Ethics Approval This study was approved by the Providence St. Joseph Health Institutional Review Board, approval number STUDY2019000048.

http://dx.doi.org/10.1136/jitc-2020-SITC2020.0072

Clinical Institute
Cancer
Specialty
Earle A. Chiles Research Institute
Specialty
Oncology
Citation Information
Carlo Bifulco, Roshanthi Weerasinghe, Bela Bapat, Alexa K Dowdell, et al.. "72 Routine use of comprehensive genomic profiling to assess tumor mutational burden across a community health system" Journal of ImmunoTherapy of Cancer (2020)
Available at: http://works.bepress.com/brian-piening/45/