Gandhi, Nishant

Abstract Purpose: B7-H3 (CD276) represents a promising therapeutic target tested in high-risk localized and treatment-refractory metastatic prostate cancer. To guide therapeutic development and treatment strategies, we examined prostate tumors and evaluated expression, molecular features, and overall survival (OS), accounting for tissue site, hormone sensitivity status, and race. Experimental Design: A total of 8,157 prostate cancer samples with paired DNA/RNA were analyzed based on annotations by tissue site, self-reported race, and disease state: hormone-sensitive prostate cancer (HSPC), castration-resistant prostate cancer (CRPC), or neuroendocrine prostate cancer (NEPC). Expression quartiles were B7-H3–high (>75th percentile) or B7-H3–low (<25th percentile). The OS was evaluated using Kaplan–Meier and Cox proportional hazards models. Results: B7-H3 expression was broadly maintained but varied by tumor site, hormone sensitivity status, and race. High expression aligned with AR-associated transcription factors (HOXB13 and FOXA1), AR-associated pathogenic dysregulations (AR-V7, SPOP, FOXA1, and TMPRSS2:ERG fusions), and actionable surface antigens (TROP2 and NECTIN-4). Weak correlations were found for lineage-plastic program regulators (EZH2, SOX2, and ASCL1) and NEPC-associated surface antigens (DLL3 and CEACAM5). High B7-H3 expression in primary tumors and HSPCs portended adverse OS [hazard ratio (HR), 1.342 and 1.30; confidence interval (CI), 1.19–1.512 and 1.15–1.46; q < 0.0001] although it was favorable in metastatic tumors (HR, 0.823; CI, 0.719–0.942; q = 0.0048). No significant differences in OS were observed among CRPCs and NEPCs, although OS varied by race, with the poorest survival in Asian/Pacific Islander patients with metastatic prostate cancer (HR, 3.72; CI, 1.49–9.29; q = 0.012). Conclusions: Maintained B7-H3 expression in various prostate cancer settings supports its viability as a target. The associations with AR-related molecular factors, surface antigens, and investigative targets for cell therapy or antibody–drug conjugates suggest potential dual-targeting strategies. See related article by Sharma et al., p. 3365

5073 Background: B7-H3 ( CD276 ) is an immunomodulatory protein overexpressed in prostate cancer (PC), representing a promising therapeutic target. However, expression of B7-H3 across PC disease states (hormone sensitive [HSPC], castration resistant [CRPC], neuroendocrine [NEPC]) and across races is poorly understood. We analyzed PC samples from a large clinico-genomic database to comprehensively characterize B7-H3 expression and elucidate its therapeutic potential in PC patients. Methods: We analyzed 7,682 PC samples with paired DNA/RNA profiling from Caris Life Sciences. Using CD276 mRNA expression measured by transcripts per million (TPM), samples were stratified into B7-H3-high (>75% centile) or low (<25% centile) groups. Annotations of HSPCs and CRPCs were based on time of biopsy collection relative to first use of androgen deprivation therapies. NEPC was defined histologically (Epstein, AJSP 2014). Transcriptomic alterations were compared using Mann-Whitney U tests. Overall survival (OS) was obtained from insurance claims data and assessed by Kaplan-Meier and Cox proportional hazards analyses. Results: B7-H3 was expressed at similar levels across specimen sites (prostate, lymph node, bone, liver, lung). HSPCs and CRPCs had similar levels of B7-H3 expression, but was reduced in NEPCs (TPM = 5.07, 4.96, 4.48; q<0.0001). While B7-H3-high was associated with worse OS in HSPCs (HR 1.32, 95CI 1.14-1.53, p=0.0002), it was associated with better OS in CRPC (HR 0.82, 95CI 0.69-0.97, p=0.018). B7-H3 expression was comparable in white, African American (AA), and Asian patients. However, Asian patients with high B7-H3 had worse outcomes (HR 4.08, 95CI 2.10-7.93, p<0.0001) while AA patients had improved outcomes (HR 0.74, 95CI 0.57-0.97, p=0.027). In co-expression analyses, B7-H3 was positively correlated with AR transcriptional co-factors ( HOXB13 , FOXA1 ) (R=0.59, 0.47; q<0.0001) but had weaker correlations with lineage plastic factors ( EZH2 , SOX2 , ASCL1 ) (R=0.26, 0.11, -0.02). Further, B7-H3-high correlated with high AR-score and low-NEPC. Given emergent bi-specific therapeutics in PC, we examined co-expression of B7-H3 with other cell surface targets. TROP2 ( TACSTD2 ) and NECTIN-4 ( PVRL4 ) exhibited the greatest correlation with B7-H3 (R=0.42, 0.40; q<0.0001); whereas PD-L1 ( CD274 ), CTLA4 , DLL3 , and CEACAM5 had weaker correlations (R=0.18, 0.08, 0.14, 0.09). Conclusions: High B7-H3 expression worsens prognosis in HSPC but improved prognosis in CRPC. Outcomes differed by race, with B7-H3-high Asian patients exhibiting worse OS while AA patients had better OS. The positive correlation between B7-H3 and AR co-factors suggests that B7-H3 is AR-regulated, at least in CRPC. Lastly, bi-specific approaches may be valuable against B7-H3-high tumors, with co-targeting of TROP2 and/or NECTIN-4.

Abstract Purpose: Around 10% to 15% of prostate cancers harbor recurrent aberrations in the Forkhead Box A1 gene, FOXA1, whereby the alteration type and the effect on the forkhead (FKH) domain affect protein function. We developed a FOXA1 classification system to inform clinical management. Experimental Design: A total of 5,014 prostate cancer samples were examined using whole-exome and -transcriptome sequencing from the Caris Life Sciences database. We denoted class 1 FOXA1 alterations as missense and in-frame insertions/deletions with subclasses oriented with respect to the FKH domain. These were in the first part of the FKH domain [class 1A: amino acids (AA) 168–246], within the Wing2 region of FKH (class 1B: AA 247–269), or outside FKH (class 1C: AA 1–167, 270+). Two hotspot missense mutations at R219 were denoted class 2. Class 3 included predicted truncating mutations with subclasses partitioned based on the FKH domain (class 3A: AA 1–269 and class 3B: AA 270+). Class 4 represented FOXA1 amplifications. Real-world overall survival and therapy outcomes were determined from insurance claims. Results: FOXA1 alterations did not influence survival when considered in aggregate but had distinct prognostic effects when stratified by class. In primary prostate samples, class 1A alterations were associated with overall improved survival (HR, 0.57; P = 0.03); a similar trend was seen in metastatic biopsies with class 1B (HR, 0.84; P = 0.09). Conversely, in primary specimens, class 1C exhibited worse survival upon second-generation androgen receptor signaling inhibitor treatment (HR, 1.93; P &lt; 0.001). Class 2 mutations (R219C/S) were enriched in neuroendocrine prostate cancers and were associated with overall poor survival (HR, 2.05; P &lt; 0.001) and worse outcomes to first-line androgen-deprivation therapies (HR, 2.5; P &lt; 0.001). Class 3A alterations indicated improved survival (HR, 0.70; P = 0.01), whereas class 3B alterations portended poor outcomes (HR, 1.50; P &lt; 0.001). Amplifications (class 4) indicated poor outcomes in metastatic samples (HR, 1.48; P = 0.02). Molecularly, different FOXA1 alteration classes harbored distinct mutational and immunologic features as well as unique transcriptional programs. Finally, relative to European Americans, African Americans had increased class 1C alterations, whereas Asian/Pacific Islander patients had increased class 1B alterations. Conclusions: FOXA1 alterations should not be interpreted in aggregate, as different classes are associated with divergent molecular features and clinical outcomes. Our revised classification schema facilitates clinical decision-making for patients with prostate cancer and uncovers important racial differences.

216 Background: PCa harbors recurrent FOXA1 alterations, yet distinct alteration types may drive divergent consequences. Here, we established several classes of FOXA1 alterations and evaluated their clinical outcomes, molecular correlates, and immunologic landscape in a large cohort of primary and metastatic PCa samples from Caris Life Sciences. Methods: We interrogated the Caris DNA (592-gene/whole exome) and RNA (whole transcriptome) NGS databases. FOXA1 alterations were annotated based on amino acid (a.a.) location and prior functional studies (Table). Real-world overall survival (OS) was determined from insurance claims data using Kaplan-Meier estimates. Gene set enrichment analyses (GSEA) was used to estimate signaling pathway activity. Immune-cell fractions were inferred from bulk RNA-seq using quanTIseq. All comparisons are made relative to FOXA1 WT cases. Results: The overall prevalence of FOXA1 alterations was 16%, with no enrichment in metastatic PCa samples (15.5%). Class 2 mutations were enriched in histologic NEPC, were associated with a classical NEPC mRNA signature, and showed poor survival with ADT (HR 5.6, 95% CI: 2.5–12.5, p<0.001). Conversely, metastatic PCa patients with Class 1B mutations had numerically improved survival with ADT (HR 0.76, 95% CI: 0.50–1.14, p=0.18). All FOXA1 alterations (except Class 2) resulted in increased FOXA1 transcripts, with 1B and 1C having the greatest effects (q<0.0001). Class 0 and 3 alterations had 2–5 fold higher frequency of TMB-high and MSI-high status (q<0.05). Conversely, Class 1B exhibited lower TMB and markedly fewer TP53 mutations (35.7% vs 20.3%, q<0.001) and TMPRSS2-ERG fusions (34.5% vs 4.6%, q<0.001). Class 1B was depleted of AR transcriptional signatures (q=0.01) but enriched of MYC signaling in GSEA analysis (FDR<0.001), and showed reduced expression of B7-H3. On immune-cell deconvolution analysis, Class 1B showed reduced dendritic cells, but increased B cells and neutrophils (DC: 1.96% vs 0.01%, B cell: 4.27% vs 5.29%, neutrophils: 5.05% vs 8.00%, each q<0.001). Conclusions: Different FOXA1 alterations exhibit divergent molecular and clinical features, and should not be interpreted in aggregate. In particular, Class 1B mutations are associated with a unique molecular and immunological landscape with potentially better outcomes to ADT, while Class 2 mutations are associated with NEPC phenotype with inferior ADT sensitivity. [Table: see text]

9069 Background: With the emergence of effective targeted-therapies for KRAS G12C, and the development of promising agents for KRAS G12V and G12D among others, the identity of unique KRAS mutations in non-small cell lung cancer (NSCLC) has become increasingly relevant. Acquired KRAS mutations are a known mechanism of resistance observed across driver mutation-positive (DM+) NSCLC. The incidence and diversity of these acquired alterations, and whether they differ from those observed in de novo KRAS-mutated NSCLC, is unknown. Methods: NSCLC molecular profiles were obtained using next-generation sequencing (Caris Life Sciences) with paired whole-transcriptomic sequencing (Illumina NovaSeq) and immunohistochemistry (Caris Life Sciences). Demographic data were abstracted from medical records. KRAS mutation diversity was defined for de novo KRAS-mutated ( KRASmt) NSCLC ( KRAS as only identified driver – KRASmt_dn) and DM+ NSCLC with acquired KRAS mutations (concurrent KRASmt with other known driver – KRASmt_acq). Fisher’s exact test was used to compare the distribution of unique KRAS mutations between the groups. Due to the unique biology of NSCLC with class II/III BRAF mutations, this subset was removed from the KRASmt_acq subgroup for the final analysis. Results: A total of 5932 KRASmt NSCLC samples were identified, among which 5879 were KRASmt_dn and 53 were KRASmt_acq (see table). The distribution of unique KRAS mutations was not significantly different between groups (p = 0.14). Within the KRASmt_dn group, KRAS G12C was most common (40%), followed by G12V (19%), G12D (14%), G12A (7%) and Q61H/G13C (4% each). In the KRASmt_acq group, KRAS G12C was most common (30%), followed by G12D (19%), G12V (17%), Q61H (11%), G12A (7%), and G13C (6%). The most common observed driver mutations in the KRASmt_acq group were EGFR (38%) and MET (30%). In the EGFR group, KRAS G12D (25%), Q61H/G12C (20% each), G12V/G13C (10% each), and G12F/A/R (5% each) were observed. In the MET group, KRAS G12C (25%), G12D/V/A (19% each), Q61H (12%) and G12S (6%) were seen. Among 7 patients with a documented history of smoking in the KRASmt_acq group, KRAS G12D and Q61H were most common (29% each), followed by G12V/F and G13C (14% each). Conclusions: While the distribution of unique KRAS mutations did not differ significantly between KRASmt_dn and KRASmt_acq groups, acquired KRAS mutations were seen across DM+ NSCLC subsets, among which the frequency of observed mutations appeared to vary. The functional and immunological significance of these mutations, and their impact on clinical outcomes, warrants further investigation. [Table: see text]