Citations

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.

Abstract Background: Somatic EGFR mutations define a subset of non–small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches. Methods: Through analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status. Results: Of 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74–0.77) in the training and 0.77 (95% CI, 0.74–0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients. Conclusions: We introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC. Impact: The proposed method is generalizable in the common occurrence in which EGFR-status data are missing.

Background: Patients (pts) with classical Hodgkin lymphoma (cHL) frequently experience reduced health-related quality of life (HRQoL) (Oerlemans et al, Ann Hematol 2011). Nivolumab, a fully human IgG4 anti-programmed death-1 (PD-1) immune checkpoint inhibitor monoclonal antibody, demonstrated efficacy and clinically meaningful improvement in pt-reported outcomes (PROs) in pts with relapsed/refractory cHL in cohorts A, B, and C of CheckMate 205 (NCT02181738) (Armand et al, J Clin Oncol 2018; Engert et al, ASH 2017). Nivolumab monotherapy followed by nivolumab + doxorubicin, vinblastine and dacarbazine (N-AVD) demonstrated an objective response rate of 84% in newly diagnosed cHL (cohort D of CheckMate 205; Ramchandren et al, EHA 2018). We present PROs in CheckMate 205 cohort D. Methods: Pts ≥18 years of age with untreated, advanced-stage cHL, with ECOG performance status (PS) of 0–1 received 4 doses of nivolumab monotherapy (240 mg IV Q2W) followed by N-AVD for 6 cycles (12 doses). Pts then entered the follow-up (FU) period. PROs were an exploratory endpoint, assessed using the EuroQol 5 Dimensions-3 level (EQ-5D-3L) and associated visual analog scale (EQ-VAS) in all treated pts who had both a baseline (monotherapy cycle 1) and post-baseline assessment. EQ-VAS ranges from 0–100, with higher scores indicating better HRQoL. In EQ-5D-3L, pts can report no, some, or extreme problems in each of 5 dimensions (mobility, self-care, activity, pain, and anxiety). Results: 51 pts were treated. At baseline, median age was 37 years, 63% were male, 59% had ECOG PS of 0. 49 pts (96%) completed baseline EQ-VAS. Mean EQ-VAS scores exceeded the mean baseline score at the end of monotherapy, after 2 combination cycles, at the end of therapy, and during follow-up (Table 1). The proportion of pts reporting some or extreme problems in EQ-5D-3L was numerically lower than or similar to baseline after monotherapy for all dimensions, but was numerically higher than baseline (dimensions of mobility and activity) after 2 combination cycles, and remained close to or numerically below baseline during follow-up (dimensions of self-care, activity, pain, and anxiety). Conclusions: Pt-reported HRQoL, as assessed by observed mean EQ-VAS scores, did not deteriorate from baseline during treatment with nivolumab followed by N-AVD. Proportions of pts reporting problems in individual EQ-5D-3L dimensions were generally similar to baseline during treatment and follow-up.