Next generation sequencing (NGS) testing for cancer patients at a safety NET hospital.

Authors

null

Rizvan Azimzade

Alameda Health System-Highland Hospital, Oakland, CA

Rizvan Azimzade , Maria Louise Avenido , Kevin B. Knopf , An Uche

Organizations

Alameda Health System-Highland Hospital, Oakland, CA, Highland Hospital / Alameda Health Systems, Mill Valley, CA

Research Funding

No funding received
None.

Background: Next Generation Sequencing (NGS) testing is gradually becoming an essential aspect of cancer care. However, numerous studies have shown that non-White patients are under-represented in both precision oncology clinical trials and molecular testing. Highland General Hospital (HGH) is a community safety-net hospital in Oakland, California serving primarily Black, Hispanic and Asian patients. In an effort to increase health equity, in August 2020 we began to offer NGS testing with Tempus Labs, Inc. for our cancer patients. The purpose of this study is to document this experience and highlight the genomic profile of our patient population. Methods: This is a retrospective chart review study. Patients were included if their tumor biopsy was sent for NGS testing from August 2020 to December 2022. A total of 165 patients had their samples sent for NGS, of which 148 were included in this study and 17 were excluded due to lack of sufficient tissue. Patient demographic data and predictive biomarkers were collected. For the purposes of this study, we defined predictive biomarkers as those that predict likelihood of response or lack of response to therapy as recommended by National Comprehensive Cancer Network guidelines. Results: The racial distribution of our patient sample is shown in the table below. Consistent with the patient population of HGH, our sample included mostly Black (32.4%), Hispanic (26.4%), and Asian (21.6%) patients. Non-Small Cell Lung Cancer (NSCLC) and colorectal cancer (CRC) were the two most common malignancies sequenced at 34.5% and 25.7%, respectively. For NSCLC patients, 54.9% had predictive biomarkers, with EGFR and KRAS being the most common driver mutations. For CRC patients, 60.5% had predictive biomarkers, with 73.9% of those being NRAS/KRAS and 13.0% being high tumor mutational burden. Full results to be presented. Conclusions: Based on our experience, it is feasible and informative to provide NGS testing for patients at safety-net hospitals. NGS testing allows for the most appropriate treatment selection for each patient, which can translate into better outcomes. Moreover, due to the unique demographics of patients from these hospitals, NGS tests can provide valuable information about the tumor genomic profiles of these underrepresented patients. This data can help improve drug development research and close the health equity gap.

Racial distribution of patient sample.
Racen% Total Sample% Cancer Type by Race
NCSLC
n = 51
CRC
n = 38
Other
n = 59
Asian3221.629.434.28.5
Black4832.439.226.332.2
Hispanic/Latino3926.415.723.737.3
Other74.7008.5
Pacific Islander74.725.36.8
White1510.113.710.56.8

Note. N = 148. ?Other? Cancer = Non-NSCLC or Non-CRC. ?Other? Race = n < 5.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Health Services Research and Quality Improvement

Track

Quality Care/Health Services Research

Sub Track

Access to Care

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e18563)

DOI

10.1200/JCO.2023.41.16_suppl.e18563

Abstract #

e18563

Abstract Disclosures

Similar Abstracts