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Published on: July 21, 2018
Clinical and Molecular Features of KRAS-Mutated Lung Cancer Patients Treated with Immune Checkpoint Inhibitors
Dan Zhao1,2, Haiqing Li3,4, Isa Mambetsariev1
1Department of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA 91010, USA.
Abstract:
Background: The molecular and clinical features of KRAS-mutated lung cancer patients treated with immunotherapy have yet to be characterized, which could guide the development of therapeutics targeting KRAS with potential immuno-oncology treatment combinations. Research Question: Do KRAS-mutated patients with different subtypes and comutations have different clinical responses and overall survival (OS) to checkpoint inhibitors? Study Design and Methods: 87 patients with NSCLC at the City of Hope who received immune checkpoint inhibitors were identified and analyzed retrospectively. Tumor genomic alterations were extracted from the clinical data with next-generation sequencing using various platforms. Demographic, clinical, molecular, and pathological information was collected with the approval of the institutional review board of the City of Hope. OS was calculated if it was available at the study time point, and responses were determined according to the RECIST v1.1. Results: Among 87 patients, 32 had a KRAS G12C mutation (36.8%), 19 had G12V (21.9%), 18 had G12D (20.7%), 6 had G12A (6.9%), 3 had G12R (3.45%), and 10 had amplification (11.49%) and other uncommon mutations. G12D had a statistically significant Odds Ratio (OR) between patients who had responses and progression of the disease (OR (95% CI) = 0.31 (0.09−0.95), p < 0.05), with 5 G12D-mutated patients having responses and 11 G12D-mutated patients having progression of the disease. In the univariate analysis with OS, there was a trend of better OS in the G12D-mutated patients, with no statistically significant difference in terms of OS between the patients who had G12D mutation and the patients who had other KRAS mutations (HR (95% CI) = 0.53 (0.21−1.36), p = 0.185). The median OS was significantly worse with KRAS comutation CDKN2A/B loss (4.2 vs. 16.9 months, HR = 3.07 (1.09−8.69), p < 0.05) and MET (3.4 vs. 17 months, HR = 3.80 (1.44−10.05), p < 0.01), which were included for the multivariate analysis. The OS with other KRAS comutations was not statistically significant, including STK11 and KEAP1. Conclusion: KRAS mutation subtypes such as G12D and comutations such as CDKN2/A and MET may modulate the immunotherapy responses and outcomes in lung cancer.
Insights
KRAS G12D mutations and specific comutations like CDKN2A/B loss and MET impact immunotherapy response in non-small cell lung cancer (NSCLC). Understanding these molecular features can guide future treatment strategies for KRAS-mutated NSCLC.
Area of Science:
- Oncology
- Genetics
- Immunotherapy
Background:
- KRAS-mutated lung cancer lacks characterized molecular and clinical features for immunotherapy.
- Targeting KRAS with immuno-oncology combinations requires understanding mutation subtypes and comutations.
Purpose of the Study:
- To investigate if different KRAS mutation subtypes and comutations affect clinical responses and overall survival (OS) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors.
Main Methods:
- Retrospective analysis of 87 NSCLC patients treated with immune checkpoint inhibitors.
- Tumor genomic alterations analyzed using next-generation sequencing.
- Clinical responses assessed by RECIST v1.1, and overall survival (OS) calculated.
Main Results:
- KRAS G12D mutation showed a significant association with treatment response (OR = 0.31, p < 0.05).
- CDKN2A/B loss and MET comutations were linked to significantly worse median OS (4.2 and 3.4 months, respectively).
- No significant OS difference was observed for G12D mutation compared to other KRAS mutations (HR = 0.53, p = 0.185).
Conclusions:
- Specific KRAS mutation subtypes (e.g., G12D) and comutations (e.g., CDKN2A/B loss, MET) may influence immunotherapy outcomes in lung cancer.
- These findings highlight the importance of molecular profiling for personalized NSCLC treatment strategies.

