Genomic Profiling of Small Intestine Cancers From a Real-World Data Set Identifies Subgroups With Actionable Alterations.

PURPOSE: Panel-based comprehensive genomic profiling (CGP) is used in clinical practice worldwide; however, large real-world data (RWD) of patients with advanced small intestine cancer have not been characterized. We investigated differences in the prevalence of clinically relevant alterations across molecularly defined or age-stratified subgroups. PATIENTS AND METHODS: This was a collaborative biomarker study of RWD from CGP testing (Foundation Medicine, Inc). Hybrid capture was conducted on at least 324 cancer-related genes and select introns from up to 31 genes frequently rearranged in cancer. Overall, 1,364 patients with advanced small intestine cancer were available for analyses and were stratified by age (≥40 years/<40 years), microsatellite instability (MSI) status, tumor mutational burden (TMB) status (high ≥10/low <10 Muts/Mb), and select gene alterations. The frequency of alterations was analyzed using a chi-square test with Yate's correction. RESULTS: Genes with frequent alterations included TP53 (59.8%), KRAS (54.8%), APC (27.7%), and CDKN2A (22.4%). Frequent genes with amplifications were MYC (6.7%), MDM2 (5.9%), GATA6 (5.5%), and CCND1 (3.4%). Patients younger than 40 years had significantly lower frequency of APC mutations than those 40 years and older (10.4% v 28.7%; P = .0008). Druggable genomic alterations were detected in 22.3% of patients: BRAF V600E (1.2%), BRCA1 (1.8%), BRCA2 (3.2%), ERBB2 amplification (3.2%), KRAS G12C (3.3%), NTRK1/2/3 fusion (0.07%), MSI-high (7.0%), and TMB-high (12.2%), with no significant differences in the frequency according to age (<40 years v ≥40 years; 22.1% v 22.3%). TMB of 10-20 Mut/Mb was observed in 4.8% of patients, and TMB ≥20 Mut/Mb was seen in 7.3% of the cohort. CONCLUSION: RWD from clinical panel testing revealed the genomic landscape in small intestine cancer by subgroup. These findings provide insights for the future development of treatments in advanced small intestine cancer.

Ancestry-, Sex-, and Age-Based Differences of Gene Alterations in NSCLC: From the Real-World Data of Cancer Genomic Profiling Tests.

BACKGROUND: Some genomic alterations in non-small cell lung cancer (NSCLC) are known to differ according to race, sex, or age. These studies have been limited in sample size and thus they cannot detect the differences precisely and comprehensively. METHODS: Tissue-based comprehensive genomic profiling was performed on 75,362 patients with NSCLC from the United States during routine clinical care. Additionally, we examined data of a Japanese NSCLC cohort with 1,019 patients. In the US cohort, 296 genes were examined for pathogenic alterations. Predominant genetic ancestry was inferred using a SNP-based approach, and patients were categorized into European (EUR), African (AFR), East Asian (EAS), Admixed American (AMR), and South Asian (SAS) ancestry groups. Patients were additionally stratified by histologic type, age (<40/≥40 years, <75/≥75 years), and sex. The prevalence of high tumor mutational burden (TMB-High) and microsatellite instability status was also calculated. RESULTS: Stratified by ancestry, EGFR alterations were significantly enriched in EAS versus other ancestry groups. The prevalence of ALK was significantly higher in the AMR, EAS, and SAS patients than in AFR and EUR patients. KRAS and STK11 were enriched in EUR and AFR patients versus other groups. TMB-High was significantly enriched in AFR patients versus all other groups. An analysis based on sex revealed differences in prevalence of alterations in 80 genes and TMB-High status. For example, EGFR, ALK, BRAF, and KRAS alterations were significantly enriched in females, whereas TP53, STK11, KEAP1, and TMB-High were significantly enriched in males. With respect to age, the prevalence of alterations in 41 genes, including ALK, RET, MET, EGFR, STK11, KEAP1, BRAF, and KRAS, as well as TMB-High, were significantly different between patients aged <40 years and those aged ≥40 years. CONCLUSIONS: Comprehensive analysis from a large real-world dataset revealed ancestry-associated differences in genomic alterations in NSCLC. Age- and sex-related differences in prevalence of genomic alterations and TMB-High status were also observed.

Effectiveness of PARP inhibitor maintenance therapy in ovarian cancer by BRCA1/2 and a scar-based HRD signature in real-world practice.

OBJECTIVE: To compare the effectiveness of PARP inhibitor maintenance therapy (mPARPi) in real-world practice by biomarker status (BRCA1/2 alterations [BRCAalt] and a homologous recombination deficiency signature [HRDsig]) in advanced ovarian cancer (OC). METHODS: Patients with OC receiving 1st-line platinum-based chemotherapy and either mPARPi or no maintenance were included. Patient data was obtained by a US-based de-identified OC clinico-genomic database, from ~280 US cancer clinics (01/2015-03/2023). Real-world progression-free survival (rwPFS) and overall survival (rwOS) were compared by biomarker status using Cox models, weighted by propensity scores. RESULTS: Of 673 patients, 160 received mPARPi [31.2% BRCAalt and 51.9% HRDsig(+)] and 513 no maintenance [15.6% BRCAalt and 34.1% HRDsig(+)]. BRCAalt patients receiving mPARPi vs. no maintenance had favorable rwPFS (HR 0.48, 95%CI 0.26-0.87, p=0.0154), as did BRCA wild-type (wt) (HR 0.76, 95%CI 0.57-1.01, p=0.0595). Favorable rwOS was not observed with mPARPi for BRCAalt or BRCAwt. HRDsig(+) patients receiving mPARPi vs. no maintenance had favorable rwPFS (HR 0.36, 95%CI 0.24-0.55, p <0.001) and numerically favorable rwOS (HR 0.46, 95%CI 0.21-1.14, p=0.0561). No differences were observed for HRDsig(-). mPARPi treatment interaction was observed for HRDsig(+) vs. HRDsig(-) (rwPFS p<0.001 / rwOS p=0.016) but not for BRCAalt vs. BRCAwt. Patients BRCAwt/HRDsig(+) receiving mPARPi had favorable rwPFS (HR 0.40, 95%CI 0.22-0.72, p=0.003), while no difference was observed for BRCAwt/HRDsig(-). CONCLUSIONS: HRDsig predicted benefit of mPARPi better than BRCAalt. HRDsig(+) patients had favorable outcomes, even among BRCAwt patients, while HRDsig(-) patients showed no enrichment for benefit with mPARPi. HRDsig might predict benefit from mPARPi regardless of BRCAalt status.

Genomic profiling and comparative analysis of male versus female metastatic breast cancer across subtypes.

BACKGROUND: Male breast cancer (MaBC) has limited data on genomic alterations. We aimed to comprehensively describe and compare MaBC's genomics with female breast cancer's (FBC) across subtypes. METHODS: Using genomic data from Foundation Medicine, we categorized 253 MaBC into estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative (n = 210), ER-positive/HER2-positive (n = 22) and triple-negative (n = 20). One ER-negative/HER2-positive case was excluded due to n-of-1. The genomics of the final MaBC cohort (n = 252) were compared to a FBC cohort (n = 2708) stratified by molecular subtype, with adjusted p-values. In the overall MaBC and FBC cohorts, we compared mutational prevalence in cancer susceptibility genes (CSG) (ATM/BRCA1/BRCA2/CHEK2/PALB2). RESULTS: Comparing ER-positive/HER2-negative cases, MaBc had increased alterations in GATA3 (26.2% vs. 15.9%, p = 0.005), BRCA2 (13.8% vs. 5.3%, p < 0.001), MDM2 (13.3% vs. 6.14%, p = 0.004) and CDK4 (7.1% vs. 1.8%, p < 0.001); and decreased frequency of TP53 (11.0% vs. 42.6%, p < 0.001) and ESR1 mutations (5.7% vs. 14.6%, p < 0.001). Comparing ER-positive/HER2-positive cases, MaBC had increased short variants in ERBB2 (22.7% vs. 0.6%, p = 0.002), GATA3 (36.3% vs. 6.2%, p = 0.004), and MDM2 (36.3% vs. 4.9%, p = 0.002); decreased frequency of TP53 alterations was seen in MaBC versus FBC (9.1% vs. 61.7%, p < 0.001). Within triple-negative cases, MaBC had decreased alterations in TP53 compared to FBC (25.0% vs. 84.4%, p < 0.001). MaBC had higher frequency of CSG variants than FBC (22.6% vs. 14.6%, p < 0.05), with increased BRCA mutations in MaBC (14.6% vs. 9.1%, p < 0.05). CONCLUSIONS: Although MaBC and FBC share some common alterations, our study revealed several important differences relevant to tumor biology and implications for targeted therapies.

Ancestry-associated co-alteration landscape of KRAS and EGFR-altered non-squamous NSCLC.

Racial/ethnic disparities mar NSCLC care and treatment outcomes. While socioeconomic factors and access to healthcare are important drivers of NSCLC disparities, a deeper understanding of genetic ancestry-associated genomic landscapes can better inform the biology and the treatment actionability for these tumors. We present a comprehensive ancestry-based prevalence and co-alteration landscape of genomic alterations and immunotherapy-associated biomarkers in patients with KRAS and EGFR-altered non-squamous (non-Sq) NSCLC. KRAS was the most frequently altered oncogene in European (EUR) and African (AFR), while EGFR alterations predominated in East Asian (EAS), South Asian (SAS), and Admixed American (AMR) groups, consistent with prior studies. As expected, STK11 and KEAP1 alterations co-occurred with KRAS alterations while showing mutual exclusivity with EGFR alterations. EAS and AMR KRAS-altered non-Sq NSCLC showed lower rates of co-occurring STK11 and KEAP1 alterations relative to other ancestry groups. Ancestry-specific co-alterations included the co-occurrence of KRAS and GNAS alterations in AMR, KRAS, and ARID1A alterations in SAS, and the mutual exclusivity of KRAS and NF1 alterations in the EUR and AFR ancestries. Contrastingly, EGFR-altered tumors exhibited a more conserved co-alteration landscape across ancestries. AFR exhibited the highest tumor mutational burden, with potential therapeutic implications for these tumors.

Analysis of Breast Cancer Brain Metastases Reveals an Enrichment of Cyclin-Dependent Kinase 12 Structural Rearrangements in Human Epidermal Growth Factor Receptor 2-Positive Disease.

PURPOSE: Genomic alterations have been identified in patients with breast cancer brain metastases (BCBMs), but large structural rearrangements have not been extensively studied. MATERIALS AND METHODS: We analyzed the genomic profiles of 822 BCBMs and compared them with 11,988 local, breast-biopsied breast cancers (BCs) and 15,516 non-CNS metastases (Non-CNS M) derived from formalin-fixed paraffin-embedded material using targeted capture sequencing. RESULTS: Nine genes with structural rearrangements were more prevalent within BCBMs as compared with local BCs and Non-CNS M (adjusted-P < .05) and displayed a prevalence of >0.5%. The most common rearrangements within BCBMs involves cyclin-dependent kinase 12 (CDK12; 3.53%) as compared with the local BC (0.86%; adjusted-P = 7.1 × 10-8) and Non-CNS M specimens (0.68%; adjusted-P = 3.7 × 10-10). CDK12 rearrangements had a significantly higher frequency within human epidermal growth factor receptor 2 (HER2)-positive BCBMs (14.59%) compared with HER2-positive BCs (7.80%; P = 4.6 × 10-3) and HER2-positive Non-CNS M (7.87%; P = 4.8 × 10-3). CONCLUSION: The most common structural rearrangements involve CDK12 with the higher prevalence in HER2-positive BCBMs. These data support more detailed investigation of the role and importance of CDK12 rearrangements in BCBMs.

The Molecular Landscape of Gastric Cancers for Novel Targeted Therapies from Real-World Genomic Profiling.

BACKGROUND: Panel-based comprehensive genomic profiling is used in clinical practice worldwide; however, large real-world datasets of patients with advanced gastric cancer are not well known. OBJECTIVE: We investigated what differences exist in clinically relevant alterations for molecularly defined or age-stratified subgroups. METHODS: This was a collaborative biomarker study of a real-world dataset from comprehensive genomic profiling testing (Foundation Medicine, Inc.). Hybrid capture was carried out on at least 324 cancer-related genes and select introns from 31 genes frequently rearranged in cancer. Overall, 4634 patients were available for analyses and were stratified by age (≥ 40/< 40 years), microsatellite instability status, tumor mutational burden status (high 10 ≥ /low < 10 Muts/Mb), Epstein-Barr virus status, and select gene alterations. We analyzed the frequency of alterations with a chi-square test with Yate's correction. RESULTS: Genes with frequent alterations included TP53 (60.1%), ARID1A (19.6%), CDKN2A (18.2%), KRAS (16.6%), and CDH1 (15.8%). Differences in comprehensive genomic profiling were observed according to molecularly defined or age-stratified subgroups. Druggable genomic alterations were detected in 31.4% of patients; ATM (4.4%), BRAF V600E (0.4%), BRCA1 (1.5%), BRCA2 (2.9%), ERBB2 amplification (9.2%), IDH1 (0.2%), KRAS G12C (0.7%), microsatellite instability-high (4.8%), NTRK1/2/3 fusion (0.13%), PIK3CA mutation (11.4%), and tumor mutational burden-high (9.4%). CDH1 alterations and MET amplification were significantly more frequent in patients aged < 40 years (27.7 and 6.2%) than in those aged ≥ 40 years (14.7 and 4.0%). CONCLUSIONS: Real-world datasets from clinical panel testing revealed the genomic landscape in gastric cancer by subgroup. These findings provide insights for the current therapeutic strategies and future development of treatments in gastric cancer.

Characterizing the Genomic Landscape of the Micropapillary Subtype of Urothelial Carcinoma of the Bladder Harboring Activating Extracellular Mutations of ERBB2.

The micropapillary subtype of urothelial carcinoma (MPUC) of the bladder is a very aggressive histological variant of urothelial bladder cancer (UBC). A high frequency of MPUC contains activating mutations in the extracellular domain (ECD) of ERBB2. We sought to further characterize ERBB2 ECD-mutated MPUC to identify additional genomic alterations that have been associated with tumor progression and therapeutic response. In total, 5,485 cases of archived formalin-fixed, paraffin-embedded UBC underwent comprehensive genomic profiling to identify ERBB2 ECD-mutated MPUC and evaluate the frequencies of genomic co-alterations. We identified 219 cases of UBC with ERBB2 ECD mutations (74% S310F and 26% S310Y), of which 63 (28.8%) were MPUC. Genomic analysis revealed that TERT, TP53, and ARID1A were the most common co-altered genes in ERBB2-mutant MPUC (82.5%, 58.7%, and 39.7%, respectively) and did not differ from ERBB2-mutant non-MPUC (86.5%, 51.9%, and 35.3%). The main differences between ERBB2 ECD-mutated MPUC compared with non-MPUC were KMT2D, RB1, and MTAP alterations. KMT2D and RB1 are tumor-suppressor genes. KMT2D frequency was significantly decreased in ERBB2 ECD-mutated MPUC (6.3%) in contrast to non-MPUC (27.6%; P < .001). RB1 mutations were more frequent in ERBB2 ECD-mutated MPUC (33.3%) than in non-MPUC (17.3%; P = .012). Finally, MTAP loss, an emerging biomarker for new synthetic lethality-based anticancer drugs, was less frequent in ERBB2 ECD-mutated MPUC (11.1%) than in non-MPUC (26.9%; P = .018). Characterizing the genomic landscape of MPUC may not only improve our fundamental knowledge about this aggressive morphological variant of UBC but also has the potential to identify possible prognostic and predictive biomarkers that may drive tumor progression and dictate treatment response to therapeutic approaches.