Mechanisms of Resistance to First-Line Osimertinib in Hispanic Patients With EGFR Mutant Non-Small Cell Lung Cancer (FRESTON-CLICaP).

INTRODUCTION: Osimertinib is a third generation EGFR-TKI inhibitor approved in the first-line setting for patients with advanced non-small cell lung cancer (NSCLC). Additionally, it represents the treatment of choice in patients who present with T790M mutations and evidence of relapse of the disease. Effectiveness and safety of this drug have been studied in multiple clinical trials and observational studies, however, information regarding outcomes among Hispanic patients treated with Osimertinib is scarce. The objective of this study was to examine real-world effectiveness and safety of first-line Osimertinib in a cohort of Hispanic patients with NSCLC, emphasizing post-progression outcomes. METHODS: This is a multicenter, multinational, retrospective cohort study of Hispanic patients treated with Osimertinib as first-line for EGFR-mutated NSCLC. Patients with a confirmed diagnosis of metastatic EGFR-mutated NSCLC who received Osimertinib (80mg/day until evidence of disease progression or presence of intolerable adverse effects) were identified and included. NGS was performed in tumor samples or liquid biopsies among patients who had disease progression. The primary outcome was progression-free survival, and the secondary outcome was post-progression survival. RESULTS: A total of 94 patients from Mexico, Argentina, Costa Rica, Colombia, Panama, Chile and the USA were included, with a median age of 59 years. Identified mutations included EGFR Exon 19 deletions and EGFR pL858R point mutations. Median progression-free survival (PFS) was 14.4 months (95%CI 12.4-18.2 months). Lung/pleura and lymph nodes were the most common sites of progression. Median post-progression survival was 7.73 months (95%CI 4.07 months-Not reached). Factors which negatively affected PFS included presence of liver metastases at diagnosis and a tumor mutational burden > 5 mut/Mb. CONCLUSION: Treatment with first line osimertinib represents an effective and safe option for Hispanic patients with metastatic NSCLC. Liver metastases and a higher tumor mutation burden were associated with a lower PFS. Despite effectiveness, different mechanisms of resistance were identified among the patients in this cohort, including mutations which can be targeted by other therapeutic options.

STK11 and KEAP1 mutations in non-small cell lung cancer patients: Descriptive analysis and prognostic value among Hispanics (STRIKE registry-CLICaP).

BACKGROUND: Mutations in STK11 (STK11Mut) and, frequently co-occurring, KEAP1 mutations (KEAP1Mut) are associated with poor survival in metastatic Non-small Cell Lung Cancer (mNSCLC) patients treated with immunotherapy. However, there are limited data regarding the prognostic or predictive significance of these genomic alterations among Hispanics. METHODS: This retrospective study analyzed a cohort of Hispanic patients (N = 103) diagnosed with mNSCLC from the US and seven Latin American countries (LATAM) treated with immune checkpoint inhibitors (ICI) alone or in combination as first-line (Cohort A). All cases were treated in routine care between January 2016 and December 2021. The main objectives were to determine the association of mutations in STK11 or KEAP1 in these patients' tumors with overall (OS) and progression-free survival (PFS), presence of KRAS mutations, tumor mutational burden (TMB), and other relevant clinical variables. To compare outcomes with a STK11Wt/KEAP1Wt population, historical data from a cohort of Hispanic patients (N = 101) treated with first-line ICI was used, matching both groups by country of origin, gender, and Programed Death-ligand 1 (PD-L1) expression level (Cohort B). RESULTS: Most tumors had mutations only in STK11 or KEAP1 (45.6%) without KRAS co-mutation or any other genomic alteration. Besides, 35%, 8.7%, 6.8%, and 3.9% were KRASMut + STK11Mut, KRASMut + STK11Mut + KEAP1Mut, STK11Mut + KEAP1Mut, and KRASMut + KEAP1Mut, respectively. Based on KRAS status, STK11 alterations were associated with significantly lower PD-L1 expression among those with KRASWt (p = 0.023), whereas KEAP1 mutations were predominantly associated with lower PD-L1 expression among KRASMut cases (p = 0.047). Tumors with KRASMut + KEAP1Mut had significantly higher median TMB when compared to other tumors (p = 0.040). For Cohort A, median PFS was 4.9 months (95%CI 4.3-5.4), slightly longer in those with KEAP1mut 6.1 months versus STK11Mut 4.7 months (p = 0.38). In the same cohort, PD-L1 expression and TMB did not influence PFS. OS was significantly longer among patients with tumors with PD-L1 ≥ 50% (30.9 months), and different from those with PD-L1 1-49% (22.0 months), and PD-L1 < 1% (12.0 months) (p = 0.0001). When we compared the cohorts A and B, OS was significantly shorter for patients carrying STK1 [STK11Mut 14.2 months versus STK11Wt 27.0 months (p = 0.0001)] or KEAP1 [KEAP1Mut 12.0 months versus KEAP1Wt 24.4 months (p = 0.005)] mutations. PD-L1 expression significantly affected OS independently of the presence of mutations in STK11, KEAP1, or KRAS. TMB-H favored better OS. CONCLUSIONS: This is the first large Hispanic cohort to study the impact of STK11 and KEAP1 mutations in NSCLC patient treated with ICI. Our data suggest that mutations in the above-mentioned genes are associated with PD-L1 expression levels and poor OS.

Automatic Integration of Clinical and Genetic Data Using cBioPortal.

Precision medicine seeks to improve the prevention, diagnosis and treatment of patients based on genetic characteristics unique to each person. In oncology, therapeutic decisions have been established based on the genomic characteristics of each patient's tumor. Data integration is key for the successful implementation of precision medicine since it is necessary for both studying a large volume of data from different sources and working with an interdisciplinary and translational vision. In this work, a bioinformatic process was successfully implemented that allows the integration of patients' genomic data, from two molecular biology laboratories, with their clinical data provided by their electronic medical records. For this, the REDCap data capture software, the cBioPortal visualization and analysis software, and a computer tool developed to automate the processing and annotation of the information in REDCap were used to be included in cBioPortal, for the "Map of Tumor Genomic Actionability of Argentina" project.