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1.
Eur J Cancer ; 149: 211-221, 2021 05.
Article in English | MEDLINE | ID: mdl-33872981

ABSTRACT

OBJECTIVE: BRAF mutations have been subtyped in three functional classes with different oncogenic modes of action. The clinical impact of BRAF mutational subtypes in non-small-cell lung cancer (NSCLC) remains to be defined. So far, ambiguous results were reported from analyses of heterogeneous patient cohorts. METHODS: We studied patients with metastatic or recurrent NSCLC who were sequentially enrolled in precision oncology programs at two large German lung cancer centres from 2009 to 2019. The study period allowed evaluating the specific impact of BRAF V600E-targeting. RESULTS: In a cohort of 72 patients, BRAF mutation subtyping revealed p.V600E mutations in 31 cases (43%), whereas 41 cases (57%) harboured 18 different BRAF mutational subtypes of functional classes II/III. Functionally relevant comutations were observed in 6.4% of class I, and 24.4% of class II/III BRAF mutations. Most patients were treated with chemotherapy. Targeted therapy was administered in 11 patients with a response rate of 72.7%. PD-1/PD-L1-immunotherapy was given in 14 patients with a response rate of 28.6%. Overall survival of patients with BRAF-mutated NSCLC was inferior (HR 1.38, p = 0.048) as compared to patients with BRAF wild-type cancers. Median time-to-treatment-failure with BRAF-targeting agents was shorter as compared to approved targeted therapy of other oncogenic drivers (HR 1.97, p = 0.05). Survival outcomes were not impacted by BRAF mutation subtype functional class. CONCLUSIONS: Patients with BRAF-mutated NSCLC have an inferior prognosis, which is not determined by BRAF mutation functional class. In contrast to NSCLC with other tractable driver mutations, BRAF-mutated NSCLC exhibit high susceptibility to immune checkpoint inhibitors.


Subject(s)
B7-H1 Antigen/antagonists & inhibitors , Biomarkers, Tumor/genetics , Carcinoma, Non-Small-Cell Lung/drug therapy , Immune Checkpoint Inhibitors/therapeutic use , Lung Neoplasms/drug therapy , Mutation , Programmed Cell Death 1 Receptor/antagonists & inhibitors , Proto-Oncogene Proteins B-raf/genetics , Adult , Aged , Aged, 80 and over , B7-H1 Antigen/immunology , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/immunology , Carcinoma, Non-Small-Cell Lung/mortality , Databases, Factual , Female , Germany , Humans , Immune Checkpoint Inhibitors/adverse effects , Lung Neoplasms/genetics , Lung Neoplasms/immunology , Lung Neoplasms/mortality , Male , Middle Aged , Precision Medicine , Programmed Cell Death 1 Receptor/immunology , Time Factors , Treatment Outcome
2.
Oncotarget ; 11(3): 250-264, 2020 Jan 21.
Article in English | MEDLINE | ID: mdl-32076486

ABSTRACT

INTRODUCTION: The impact of TP53 co-mutations in EGFR mutated patients on PFS and OS is controversial. Different classifications of TP53 mutations with respect to functional and potential clinical impact have been published. Therefore, we retrospectively analyzed the impact of TP53 co-mutations on ORR, PFS and OS in a cohort of EGFR mutated NSCLC IV patients (UICC 7) using different classifications of TP53 mutations. METHODS: 75 EGFR mutated NSCLC IV patients homogeneously treated with 1st line EGFR TKI were analyzed for TP53 co-mutations. TP53 mutations were classified according to three different types of classifications. The endpoints ORR, PFS and OS were investigated. RESULTS: TP53 co-mutations were found in 29/59 patients (49.2%). TP53 co-mutations were a statistically significant independent negative predictive factor for ORR, PFS and OS. TP53 co-mutations were associated with inferior mPFS and mOS: mPFS/mOS 12 vs. 18/24 vs. 42 months for non-disruptive/disruptive mutations vs. WT (p < 0.004)/(p < 0.009), 11 vs. 17/23 vs. 42 months for pathogenic vs. non-pathogenic/WT (p < 0.001)/(p < 0.001), and 7 vs. 12 vs. 18/12 vs. 28 vs. 42 months for exon 8 vs. non-exon 8 vs. WT (p < 0.001)/(p < 0.002). CONCLUSIONS: TP53 co-mutations are frequent in EGFR mt+ NSCLC and have a strong negative impact on all clinical endpoints of TKI therapy.

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