Abstract
We assessed the association between a genome-wide polygenic risk score (PRS) developed for lung adenocarcinoma (LUAD) risk and mutation on the epidermal growth factor receptor (EGFR) gene in 998 East Asian never-smoking female LUAD cases (518 EGFR-positive; 480 EGFR-negative) and 4,544 never-smoking controls using case-case and multinomial regression analyses. We found that the PRS was more strongly associated with EGFR-positive LUAD compared to EGFR-negative LUAD, where the association between the fourth quartile of the PRS and EGFR-positive LUAD (OR=8.63, 95% CI:5.67, 13.14) was significantly higher than the association between the fourth quartile of the PRS with EGFR-negative LUAD (OR=3.50, 95% CI: 2.44, 5.00) (p-heterogeneity=3.66x10−3). Our findings suggest that germline genetic susceptibility may be differentially associated with LUAD in never-smoking female East Asian patients depending on the cancer’s mutation status, which may have important public health and clinical implications.
Introduction
Lung cancer is a major global health problem and the leading cause of cancer death worldwide, representing about 20% of all cancer mortality in 20201. While smoking is the most common cause of lung cancer, nearly 25% of lung cancer patients are never-smokers, a proportion that is especially high among East Asian women2.
Epidermal growth factor receptor (EGFR) is a transmembrane protein that regulates cellular proliferation and apoptosis3. Mutations in the EGFR gene have been found to be a defining hallmark of lung adenocarcinoma (LUAD), the most common histological subtype among never-smoking lung cancer cases. EGFR mutations are generally more common in never-smokers vs. smokers, LUAD vs. other subtypes, East Asian vs. European populations, and females vs. males4,5.
We previously reported that two susceptibility loci identified in a genome-wide association study (GWAS) of LUAD among never-smoking East Asian women, namely rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1), were more strongly associated with EGFR-positive vs. EGFR-negative LUAD6. We recently expanded our GWAS of LUAD in individuals of East Asian ancestry that increased the total number of independent susceptibility loci identified to 28 across 25 regions7. Here, we investigated if overall genetic susceptibility to LUAD, defined as a polygenic risk score (PRS) and modelled using a genome-wide Bayesian-based approach, LDpred28,9, is differentially associated with LUAD by EGFR mutation status.
Methods
The study population consists of 998 female never-smoking histologically confirmed LUAD cases with data on EGFR mutation status and 4,544 female never-smoking controls from the Female Lung Cancer Consortium in Asia (FLCCA)- a multi-national collaboration of epidemiological studies of lung cancer from Taiwan, Mainland China, Hong Kong, Singapore, South Korea, and Japan. Details on FLCCA and the 11 studies contributing EGFR mutation status data have been previously described in detail6. Each study was approved by their local institutional review board and all participants provided informed consent prior to participation.
Genotyping and imputation for the FLCCA study was previously described6. Briefly, all samples were genotyped using the Illumina 370K, 610Q, or 660W microarrays either at the US National Cancer Institute’s Cancer Genomics Research Laboratory or at Gene-Square Biotech, Inc. in Beijing. Genotype imputation was conducted using IMPUTE2 software version 2.2.2, and the 1,000 Genomes Project Phase 1 version 3 data was used as the reference panel. The GWAS data are deposited at dbGAP (https://www.ncbi.nlm.nih.gov/gap, study accession: phs000716.v1.p1).
We derived a PRS for all FLCCA study participants using LDpred28,9, which is a genome-wide Bayesian-based approach designed to enhance the prediction power and improve the accuracy of risk score estimates by leveraging information on linkage disequilibrium (LD) from reference panels and modeling the correlation between nearby genetic variants. The weights for the 942,592 single nucleotide polymorphisms (SNP) included in the PRS were previously derived using summary statistics from 3,565 never-smoking LUAD cases and 16,238 never-smoking controls of East Asian ancestry from the Nanjing Lung Cancer Study (NJLCS), the National Cancer Center of Japan (NCC) Research Institute, and the Aichi Cancer Center (ACC)7.8,97Tuning and validation were conducted using independent individual level data in FLCCA consisting of 4,438 LUAD cases and 4,544 controls, which generated an area under the receiver operating curve (AUC) value of 0.63. The PRS was then standardized and categorized into quartiles based on the distribution among controls.
Details on methods for DNA extraction of lung tumor tissue used by each study center have been previously described6. Briefly, genomic DNA was extracted from fresh, frozen or formalin-fixed, paraffin-embedded (FFPE) samples, and each participating study independently genotyped tumor tissues from lung cancer cases for EGFR mutations on exons 19 and 21. We defined cases with EGFR mutation on either exon 19 or 21 as EGFR-positive (n=518) and cases without such EGFR mutation as EGFR-negative (n=480).
We assessed the association between continuous PRS, PRS quartiles and tumor EGFR mutation status and estimated the odds ratios (OR) and 95% confidence intervals (CI) using logistic regression models adjusted for age, study, and the top 10 principal component scores to control for population stratification. We first conducted a case-case analysis restricting to LUAD cases with data on EGFR mutation status and compared EGFR-positive to EGFR-negative cases. Next, we conducted a multinomial logistic regression with a three-level outcome: controls, EGFR-negative cases and EGFR-positive cases. Differences between EGFR-negative and EGFR-positive LUAD estimates were tested by calculating the z-statistic using the covariance matrix and accounting for shared controls. P-values <0.05 were considered statistically significant and all analyses were performed using the R statistical software (version 4.2.2).
Results
In case-case comparisons treating EGFR-negative LUAD as the reference category, we found an association between continuous PRS and risk of EGFR-positive LUAD (p-value=0.02), as well as a dose-response relationship between quartiles of the PRS and EGFR-positive LUAD (p-trend=0.003) (Table 1). In the multinomial analysis treating the controls as the reference category, we found that the continuous PRS was associated with EGFR-negative LUAD and EGFR-positive LUAD with OR of 1.82 (95% CI: 1.62, 2.05) and 2.16 (95% CI: 1.92, 2.42) per standard deviation (SD), respectively. We further found that the association between the fourth quartile of the PRS with EGFR-positive LUAD (OR=8.63, 95% CI:5.67, 13.14) was significantly higher than the association between the fourth quartile of the PRS with EGFR-negative LUAD (OR=3.50, 95% CI: 2.44, 5.00) (p-heterogeneity=3.66x10−3) (Table1/Figure1).
Table 1.
Association between polygenic risk score (PRS) and lung adenocarcinoma by EGFR status
| Case-Case analysis | Multinomial analysis | ||||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|||||||||
| Sample count |
EGFR-negative | EGFR-positive | |||||||
| PRS | EGFR-negative | EGFR-positive | Controls | OR (95% CI)a | P-value | OR (95% CI)b | P-value | OR (95% CI)c | P-value |
| Quartile 1 | 57 | 33 | 1138 | REF | REF | REF | |||
| Quartile 2 | 75 | 80 | 1139 | 1.98 (1.14, 3.47) | 0.02 | 1.29 (0.86, 1.92) | 0.02 | 2.52 (1.60, 3.96) | 6.67x10−5 |
| Quartile 3 | 104 | 115 | 1131 | 2.10 (1.24, 3.60) | 6.0x10−3 | 1.81 (1.24, 2.64) | 2.13x10−3 | 3.85 (2.49, 5.95) | 1.39x10−9 |
| Quartile 4 | 244 | 290 | 1140 | 2.44 (1.46, 4.13) | 8x10−4 | 3.50 (2.44, 5.00) | 7.39x10−12 | 8.63 (5.67, 13.14) | 7.97x10−22 |
|
| |||||||||
| PRS continuous | 480 | 518 | 4548 | 1.17 (1.02, 1.34) | 0.02 | 1.82 (1.62, 2.05) | 1.18x10−8 | 2.16 (1.92, 2.42) | 1.00x10−32 |
Abbreviations: OR, odds ratio; CI, confidence interval; PRS, polygenic risk score
Estimates for associations between PRS and EGFR-positive compared to EGFR-negative, adjusting for age, study and 10 principal component scores
Estimates for the associations between PRS and LUAD among EGFR-negative cases compared to controls, adjusting for age, study and 10 principal component scores
Estimates for the associations between PRS and LUAD among EGFR-positive cases compared to controls, adjusting for age, study and 10 principal component scores
Test for heterogeneity comparing estimates from the multinomial regression for EGFR-positive and EGFR-negative fourth quartile using the covariance matrix and accounting for shared controls resulted in P-value=3.66x10−3
Estimates are per 1 standard deviation (SD)
Figure 1. Association between quartiles of polygenic risk score (PRS) and lung adenocarcinoma by EGFR mutation status.

Odds ratios (OR) and 95% confidence intervals (CI) from a multinomial regression are plotted for each PRS quartile, with the first quartile as the reference category. Test for heterogeneity comparing estimates from the multinomial regression for EGFR-positive and EGFR-negative fourth quartile using the covariance matrix and accounting for shared controls resulted in P-value=3.66x10−3.
Discussion
We found that the genome-wide PRS developed for LUAD in East Asian individuals was more strongly associated with EGFR-positive LUAD compared to EGFR-negative LUAD, suggesting that germline genetic susceptibility may be differentially associated with LUAD in never-smoking female Asian patients depending on the cancer’s mutation status.
There have been limited efforts to assess whether genetic susceptibility is differentially associated with the risk of an EGFR mutation in lung cancer patients. A meta-analysis conducted in 2019 found that an EGFR mutation is significantly more likely to be found in lung cancer patients with first-degree family history of lung cancer than their counterparts without family history10. This finding was especially pronounced in Asian individuals diagnosed with LUAD. Further, several studies found individual germline loci to be associated with the likelihood of EGFR mutation in lung cancer., in genes including TERT, HLA-DPB1, ROS1/DCBLD1, FOXP4, BTNL2, BPTF, and TP6311–13. To our knowledge, our study is one of the first to extend on previous work by observing differential association between a genome-wide summary of genetic susceptibility to LUAD and the risk of EGFR mutation.
These findings have potentially important implications for etiologic and translational lung cancer research by informing our understanding of how germline genetic susceptibility may impact the type of acquired mutations in LUAD. In never-smoking women, exposure to an exogenous risk factor such as environmental tobacco smoke and air pollution, may result in genotoxic damage that can be enhanced when the DNA repair system is compromised. As such, there may be a subset of individuals with germline mutations involved in the dysfunction of DNA repair for which genomic instability acts as a modifier for the risk of an EGFR mutation in lung tumor10.
Further, given that patients with LUAD respond differently to treatments that are used as targeted therapy depending on their EGFR mutation status14, our findings may have important public health and clinical implications, which may guide risk stratification, screening, and treatment. Larger future studies are needed to expand on our findings and investigate potential pathways through which germline genetic susceptibility may impact the acquisition of EGFR mutations.
Acknowledgements
This work utilized the computational resources of the NIH HPC Biowulf cluster. (http://hpc.nih.gov).
Female Lung Cancer Consortium in Asia (NCI): This study was supported by a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports, Culture and Technology of Japan, a Grant-in- Aid for the Third Term Comprehensive 10-Year Strategy for Cancer Control from the Ministry Health, Labor and Welfare of Japan, by Health and Labor Sciences Research Grants for Research on Applying Health Technology from the Ministry of Health, Labor and Welfare of Japan, by the National Cancer Center Research and Development Fund, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (grant No. 2011-0016106), a grant of the National Project for Personalized Genomic Medicine, Ministry for Health & Welfare, Republic of Korea (A111218-11-GM04), the Program for Changjiang Scholars and Innovative Research Team in University in China (IRT_14R40 to K.C.), the National Science & Technology Pillar Program (2011BAI09B00), MOE 111 Project (B13016), the National Natural Science Foundation of China (No. 30772531, and 81272618), Guangdong Provincial Key Laboratory of Lung Cancer Translational Medicine (No. 2012A061400006), Special Fund for Research in the Public Interest from the National Health and Family Planning Commission of PRC (No. 201402031), and the Ministry of Science and Technology, Taiwan (MOST 103-2325-B-400-023 & 104-2325-B-400-012). The Japan Lung Cancer Study (JLCS) was supported in part by the Practical Research for Innovative Cancer Control from Japan Agency for Medical Research and Development (15ck0106096h0002) and the Management Expenses Grants from the Government to the National Cancer Center (26-A-1) for Biobank. BioBank Japan was supported by the Ministry of Education, Culture, Sports, Sciences and Technology of the Japanese government. The Japan Public Health Center-based prospective Study (the JPHC Study) was supported by the National Cancer Center Research and Development Fund (23-A- 31[toku], 26-A-2, 29-A-4, and 2020-J-4) (since 2011) and a Grant-in-Aid for Cancer Research from the Ministry of Health, Labour and Welfare of Japan (from 1989 to 2010). The Taiwan GELAC Study (Genetic Epidemiological Study for Lung AdenoCarcinoma) was sup- ported by grants from the National Research Program on Genomic Medicine in Taiwan (DOH99-TD-G-111-028), the National Research Program for Biopharmaceuticals in Taiwan (MOHW 103-TDUPB-211-144003, MOST 103-2325-B-400-023) and the Bioinformatics Core Facility for Translational Medicine and Biotechnology Development (MOST 104-2319-B-400-002). This work was also supported by the Jinan Science Research Project Foundation (201102051), the National Key Scientific and Technological Project (2011ZX09307-001-04), the National Natural Science Foundation of China (No.81272293), the State Key Program of National Natural Science of China (81230067), the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF- 2014R1A2A2A05003665), Sookmyung Women’s University Research Grants, Korea (1-1603-2048), Agency for Science, Technology and Research (A*STAR), Singapore and the US National Institute of Health Grant (1U19CA148127-01). The overall GWAS project was supported by the intramural program of the US National Institutes of Health/National Cancer Institute. The following is a list of grants by study center: SKLCS (Y.T.K.)—National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (2011-0016106). (J.C.) – This work was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health &Welfare, Republic of Korea (grant no. 0720550-2). (J.S.S)—grant number is A010250. WLCS (T.W.)—National Key Basic Research and Development Program (2011CB503800). SLCS (B.Z.)—National Nature Science Foundation of China (81102194). Liaoning Provincial Department of Education (LS2010168). China Medical Board (00726). GDS (Y.L.W.)—Foundation of Guangdong Science and Technology Department (2006B60101010, 2007A032000002, 2011A030400010). Guangzhou Science and Information Technology Bureau (2011Y2-00014). Chinese Lung Cancer Research Foundation, National Natural Science Foundation of China (81101549). Natural Science Foundation of Guangdong Province (S2011010000792). TLCS (K.C., B.Q.)—Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT), China (IRT1076). Tianjin Cancer Institute and Hospital. National Foundation for Cancer Research (US). FLCS (J.C.W., D.R., L.J.)—Ministry of Health (201002007). Ministry of Science and Technology (2011BAI09B00). National S&T Major Special Project (2011ZX09102-010-01). China National High-Tech Research and Development Program (2012AA02A517, 2012AA02A518). National Science Foundation of China (30890034). National Basic Research Program (2012CB944600). Scientific and Technological Support Plans from Jiangsu Province (BE2010715). NLCS (H.S.)—China National High-Tech Research and Development Program Grant (2009AA022705). Priority Academic Program Development of Jiangsu Higher Education Institution. National Key Basic Research Program Grant (2011CB503805). GEL-S (A.S.)—National Medical Research Council Singapore grant (NMRC/0897/2004, NMRC/1075/2006). (J.Liu)—Agency for Science, Technology and Research (A*STAR) of Singapore. GELAC (C.A.H.)—National Research Program on Genomic Medicine in Taiwan (DOH98-TDG-111-015). National Research Program for Biopharmaceuticals in Taiwan (DOH 100- TD-PB-111-TM013). National Science Council, Taiwan (NSC 100- 2319-B-400-001). YLCS (Q.L.)—Supported by the intramural pro- gram of U.S. National Institutes of Health, National Cancer Institute. SWHS (W.Z., W-H.C., N.R.)—The work was supported by a grant from the National Institutes of Health (R37 CA70867, UM1 CA182910) and the National Cancer Institute intramural research program, including NCI Intramural Research Program contract (N02 CP1101066). JLCS (K.M., T.K.)—Grants-in-Aid from the Ministry of Health, Labor, and Welfare for Research on Applying Health Technology and for the 3rd-term Comprehensive 10-year Strategy for Cancer Control; by the National Cancer Center Research and Development Fund; by Grant-in-Aid for Scientific Research on Priority Areas and on Innovative Area from the Ministry of Education, Science, Sports, Culture and—Technology of Japan. (W.P.)—NCI R01-CA121210. HKS (J.W.)—General Research Fund of Research Grant Council, Hong Kong (781511 M). The Environment and Genetics in Lung Cancer Etiology (EAGLE), Prostate, Lung, Colon, Ovary Screening Trial (PLCO), and Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) studies were supported by the Intramural Research Program of the National Institutes of Health, National Cancer Institute (NCI), Division of Cancer Epidemiology and Genetics. ATBC was also supported by U.S. Public Health Service contracts (N01-CN-45165, N01-RC-45035, and N01-RC-37004) from the NCI. PLCO was also supported by individual contracts from the NCI to the University of Colorado Denver (NO1-CN-25514), Georgetown University (NO1-CN-25522), the Pacific Health Research Institute (NO1-CN-25515), the Henry Ford Health System (NO1-CN-25512), the University of Minnesota, (NO1-CN- 25513), Washington University (NO1-CN-25516), the University of Pittsburgh (NO1-CN-25511), the University of Utah (NO1-CN- 25524), the Marshfield Clinic Research Foundation (NO1-CN- 25518), the University of Alabama at Birmingham (NO1-CN- 75022), Westat, Inc. (NO1-CN-25476), and the University of California, Los Angeles (NO1-CN-25404). The Carotene and Retinol Efficacy Trial (CARET) is funded by the National Cancer Institute, National Institutes of Health through grants U01-CA063673, UM1-CA167462, and U01-CA167462. The Cancer Prevention Study-II (CPS-II) Nutrition Cohort was supported by the American Cancer Society. The NIH Genes, Environment and Health Initiative (GEI) partly funded DNA extraction and statis- tical analyses (HG-06-033-NCI-01 and RO1HL091172-01), genotyping at the Johns Hopkins University Center for Inherited Disease Research. This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C4002236). Genotyping of the samples in NJLCS was supported by the National Natural Science of China (81820108028).
Female Lung Cancer Consortium in Asia (Tianjin): Tianjin Science and Technology Committee Foundation, 18YFZCSY00520.
Female Lung Cancer Consortium in Asia (Taiwan): The Ministry of Health and Welfare grants DOH97-TD-G-111-028 (I.S.C.), DOH98-TD-G-111-017 (I.S.C.), DOH99-TD-G-111-014 (I.S.C.); DOH97-TD-G-111-026 (C.A.H.), DOH98-TD-G-111-015 (C.A.H.), DOH99-TD-G-111-028 (C.A.H.); National Health Research Institutes grants NHRI-PH-110-GP-01, NHRI-PH-110-GP-03; and the Ministry of Science and Technology grants MOST108-2314-B-400-038(C.A.H.), MOST109-2740-B-400-002(C.A.H.).
N.C. is supported by NIH grant 1R01HG010480
Footnotes
Competing interests
The authors declare no competing interests.
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