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Simple Summary: The molecular and clinical features of KRAS-mutated lung cancer patients treated with immunotherapy have yet to be well characterized, and little information is known about resistance in these patients. The goal of this study is to better understand the survival results of KRAS-mutated patients who undergo immunotherapy treatment. For this effort, we have included 87 patients with NSCLC who received immunotherapy at the City of Hope, and we found that, 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 patients were found to respond differently compared to other KRAS-mutated patients. The OS with other KRAS comutations was not statistically significant, including STK11 and KEAP1. KRAS mutation subtypes such as G12D and comutations such as CDKN2/A and MET may modulate the immunotherapy responses and outcome in lung cancer. 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. [ABSTRACT FROM AUTHOR]

Background: Human papillomavirus (HPV) is the primary cause of invasive cervical cancer (ICC). The prevalence of various HPV genotypes, ranging from oncogenically low- to high-risk, may be influenced by geographic and demographic factors, which could have critical implications for the screening and prevention of HPV infection and ICC incidence. However, many technical factors may influence the identification of high-risk genotypes associated with ICC in different populations. Methods: We used high-throughput sequencing of a single amplicon within the HPV L1 gene to assess the influence of patient age, race/ethnicity, histological subtype, sample type, collection date, experimental factors, and computational parameters on the prevalence of HPV genotypes detected in archived DNA (n = 34), frozen tissue (n = 44), and formalin-fixed paraffin-embedded (FFPE) tissue (n = 57) samples collected in the Los Angeles metropolitan area. Results: We found that the percentage of off-target human reads and the concentration of DNA amplified from each sample varied by HPV genotype and by archive type. After accounting for the percentage of human reads and excluding samples with especially low levels of amplified DNA, the HPV prevalence was 95% across all ICC samples: HPV16 was the most common genotype (in 56% of all ICC samples), followed by HPV18 (in 21%). Depending upon the genotyping parameters, the prevalence of HPV58 varied up to twofold in our cohort. In archived DNA and frozen tissue samples, we detected previously established differences in HPV16 and HPV18 frequencies based on histological subtype, but we could not reproduce those findings using our FFPE samples. Conclusions: In this pilot study, we demonstrate that sample collection, preparation, and analysis methods can influence the detection of certain HPV genotypes and must be carefully considered when drawing any biological conclusions based on HPV genotyping data from ICC samples. [ABSTRACT FROM AUTHOR]