Prevalence of EGFR mutations in non-small cell lung cancer in Hawaii: A multi-center epidemiology study.

e22585 Background: Epidermal Growth Factor Receptor (EGFR) mutation analysis in non-small cell lung cancer (NSCLC) is crucial for navigating treatment decision-making and improving survival outcomes. EGFR mutations are more prevalent among Asian Americans at 38.8% as compared to 17.4% in whites (REF). Hawaii has the highest proportion of Asian Americans and Native Hawaiian/Pacific Islanders (NH/PI) in the USA. Among this diverse population of Asian Americans, Native Hawaiians, and Pacific Islanders, the . Here, we present an analysis of EGFR-mutated NSCLC across diverse patient populations in Hawaii. Methods: This study included patients aged 18 years and older diagnosed with NSCLC at Hawaii Pacific Health between January 1, 2021, and December 31, 2023, and at Queen’s Medical Center between July 1, 2016, and December 31, 2022, in Hawaii (n = 281). Clinical data, including sex, race and ethnicity (whites, Filipino, Japanese American, other Asian American, NH/PI, and Other ethnicities), smoking status, and histological subtypes were also collected. Fisher’s exact test was used to analyze associations between EGFR mutations and patient characteristics. Results: Among 1028 NSCLC patients screened, 281 patients were appropriate for EGFR testing based on stage, histology, and clinical characteristics, of which 126 patients (44.8%) were positive. Female, Never-smokers, and adenocarcinoma histology were significantly associated with a higher prevalence of EGFR mutations (54.2%, 68.5%, and 54.3%, respectively; p < 0.05). As compared to whites, EGFR mutations were significantly more prevalent among Filipinos (OR 3.45; 95% CI: 1.52–8.10; p = 0.01), Japanese Americans (OR 2.42; 95% CI: 1.02–5.90; p = 0.03), and other Asian (OR 2.70; 95% CI: 1.13–6.68; p = 0.01). The prevalence of EGFR mutations among NH/PI was 42.3 %. No significant differences in EGFR mutation prevalence were observed among NH/PI patients with unknown/other races as compared to whites. Conclusions: To our knowledge, this is the first study to investigate the prevalence of EGFR mutations among various race and ethnic groups in Hawaii. Novel findings include: Filipino NSCLC cases having the highest prevalence of EGFR mutations and defining the prevalence of EGFR mutations in the NH/PI population (42.3%). Additional studies will explore the association between EGFR-mutant NSCLC and survival outcomes in this unique Hawaiian population.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.e22585
Citations
1
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of EGFR mutations in non-small cell lung cancer in Hawaii: A multi-center epidemiology study.

David R. Gandara, Lani Park, Toshiaki Takahashi, Evan Wu
1 citations
Journal of Clinical Oncology
Lung Cancer Treatments and Mutations
1.52
article

Prevalence of EGFR mutations in non-small cell lung cancer in Hawaii: A multi-center epidemiology study.

David R. Gandara, Lani Park, Toshiaki Takahashi, Evan Wu
article en
1 citations

Abstract

e22585 Background: Epidermal Growth Factor Receptor (EGFR) mutation analysis in non-small cell lung cancer (NSCLC) is crucial for navigating treatment decision-making and improving survival outcomes. EGFR mutations are more prevalent among Asian Americans at 38.8% as compared to 17.4% in whites (REF). Hawaii has the highest proportion of Asian Americans and Native Hawaiian/Pacific Islanders (NH/PI) in the USA. Among this diverse population of Asian Americans, Native Hawaiians, and Pacific Islanders, the . Here, we present an analysis of EGFR-mutated NSCLC across diverse patient populations in Hawaii. Methods: This study included patients aged 18 years and older diagnosed with NSCLC at Hawaii Pacific Health between January 1, 2021, and December 31, 2023, and at Queen’s Medical Center between July 1, 2016, and December 31, 2022, in Hawaii (n = 281). Clinical data, including sex, race and ethnicity (whites, Filipino, Japanese American, other Asian American, NH/PI, and Other ethnicities), smoking status, and histological subtypes were also collected. Fisher’s exact test was used to analyze associations between EGFR mutations and patient characteristics. Results: Among 1028 NSCLC patients screened, 281 patients were appropriate for EGFR testing based on stage, histology, and clinical characteristics, of which 126 patients (44.8%) were positive. Female, Never-smokers, and adenocarcinoma histology were significantly associated with a higher prevalence of EGFR mutations (54.2%, 68.5%, and 54.3%, respectively; p < 0.05). As compared to whites, EGFR mutations were significantly more prevalent among Filipinos (OR 3.45; 95% CI: 1.52–8.10; p = 0.01), Japanese Americans (OR 2.42; 95% CI: 1.02–5.90; p = 0.03), and other Asian (OR 2.70; 95% CI: 1.13–6.68; p = 0.01). The prevalence of EGFR mutations among NH/PI was 42.3 %. No significant differences in EGFR mutation prevalence were observed among NH/PI patients with unknown/other races as compared to whites. Conclusions: To our knowledge, this is the first study to investigate the prevalence of EGFR mutations among various race and ethnic groups in Hawaii. Novel findings include: Filipino NSCLC cases having the highest prevalence of EGFR mutations and defining the prevalence of EGFR mutations in the NH/PI population (42.3%). Additional studies will explore the association between EGFR-mutant NSCLC and survival outcomes in this unique Hawaiian population.

Journal of Clinical OncologyVol. 43(16_suppl)
University of Hawaiʻi at Mānoa (US), University of Hawaii System (US), Cancer Center of Hawaii (US), University of Hawaii Cancer Center, UC Davis Comprehensive Cancer Center, University of California, Davis (US)
Openalex Percentile: Top 18%
Lung Cancer Treatments and Mutations
1.52
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.