Lopes, Gilberto

e22677 Background: Lung cancer without tobacco exposure is a growing and preventable source of global morbidity driven by environmental and occupational exposures, with marked regional variation and unevenly addressed prevention strategies. Methods: Global Burden of Disease (GBD) 2023 estimates were used to quantify lung cancer disability-adjusted life years (DALYs) and age-standardized mortality rates (ASMRs) attributable to ambient particulate matter (PM2.5), household air pollution (HAP), residential radon, and occupational carcinogens across seven GBD super-regions from 1990–2023. Population attributable fractions (PAFs) and temporal trends were assessed, with sex-stratified analyses for radon and occupational exposures. Results: Air pollution accounted for the largest attributable lung cancer DALYs in low and middle-income regions, particularly South Asia, where PM2.5 (PAF 15.9%) and HAP (PAF 16.8%) together accounted for 32.7% of DALYs. In Sub-Saharan Africa, HAP alone accounted for 21.4%. Occupational carcinogens contributed the largest proportion in high-income regions (PAF 21.7%) and were associated with the highest DALY rate (230/100,000) and ASMR (13/100,000). From 1990–2023, HAP-attributable lung cancer burden declined across all regions (40–70%), consistent with transitions away from solid household fuels. In contrast, PM2.5-attributable DALY rates declined by 30–40% in high-income regions but increased by 40–50% in South Asia and the Middle East and North Africa. Radon- and occupational carcinogen–attributable burdens remained largely stable across most regions, although high-income regions experienced declines in radon (18.4%) and occupational carcinogen (32.1%) attributable DALY rates. Radon showed a modest male excess (male-to-female ratios 1.2–1.5), whereas occupational carcinogens demonstrated marked male predominance (often > 4). Conclusions: Despite substantial decrease in HAP related lung cancer burden, other modifiable factors including PM2.5, occupational carcinogen and radon exposure remain major contributors, specially in high-income regions where occupational exposures account for the largest PAF. These patterns suggest that reducing household energy exposure alone is insufficient. We need regional exposure targeted prevention strategies that extend beyond tobacco control and are relevant to oncology practice, survivorship and policy advocacy. Population-attributable fractions of lung cancer burden from environmental and occupational exposures across gbd super-regions. GBD Super-Region Air Pollution (PM2.5 + HAP) Residential Radon Occupational Carcinogens High-income 6.2 4.6 21.7 Central Europe, Eastern Europe & Central Asia 11.3 6.3 10.9 Latin America & Caribbean 12.5 4.1 11.9 North Africa & Middle East 21 3.7 12.7 South Asia 32.7 4.3 10 Sub-Saharan Africa 30.7 4.3 9.4 Southeast Asia, East Asia & Oceania 23.6 3.4 9.8

1098 Background: Leucine-rich repeat-containing protein 15 ( LRRC15) has emerged as a potential biomarker and therapeutic target for various cancers due to its high expression in cancer-associated fibroblasts (CAFs) and role in tumor progression. High LRRC15 expression is associated with poor prognosis in TNBC. This study aims to define the multiomic profile of LRRC15 in TNBC. Methods: 3,038 TNBC samples were analyzed via Next-Generation Sequencing (592, NextSeq; Whole Exome Sequencing, NovaSeq) and Whole Transcriptome Sequencing (NovaSeq; Caris Life Sciences, AZ). Immune cell fractions were estimated using WTS deconvolution (Quantiseq). Stromal cell abundance in the tumor microenvironment (TME) was estimated from RNA expression profiles using MCP Counter. LRRC15 -high (H) and -low (L) tumors were classified by RNA expression above or below the 25th percentile. Real-world overall survival (OS) and treatment-related survival were derived from insurance claims and calculated from tissue collection or treatment initiation to last contact using Kaplan-Meier. Statistical significance was assessed using chi-square and Mann-Whitney U tests with multiple comparison adjustments (q < .05). Results: LRRC15 -H TNBC tumors had higher frequency of PIK3CA (25.9% vs 16.8), PIK3R1 (6.2% vs 1.6%), PTEN (11.3% vs 5.8%), but lower frequency of RB1 (7.8% vs 12.1%) and KMT2D (2% vs 4.4%) compared to LRRC15 -L, all q < 0.05. LRRC15 -H had higher PD-L1 positivity (32.3% vs 24.5%, q < 0.05). Analysis of immune cells showed LRRC15 -H TNBC had higher infiltration of B cells (4.2% vs 3.5%), M1 macrophages (4.3% vs 2%), M2 macrophages (4% vs 2.5%), Tregs (1.9% vs 1.1%), neutrophils (4.9% vs 3.9%), CD8 + T cells (0.4% vs 0.1%), but lower dendritic cells (2.5% vs 3%), all q < 0.05. LRRC15 -H tumors had greater abundance of CAFs (575.6 vs 93.78, 6.14 fold change (FC)) and endothelial cells (7.3 vs 3.7, 1.97 FC), all q < 0.05. LRRC15 -H had higher T-cell inflamed score (71.5 vs -77) and IFNg score (-0.14 vs -1.72), all q < 0.05. LRRC15 -H tumors had higher expression of immune checkpoint genes ( CD274, PDCD1, PDCD1LG2, CTLA4, LAG3, HAVCR2, FOXP3, IDO1, TNFSF14, TIGIT, BTLA, CEACAM1, CD47, CD80, CD86, CD160, CD274 ; FC 1.2-2.5, q < 0.05). LRRC15 -H was associated with better OS (mOS: 24.7 vs 13.6 months; HR 0.61, 95% CI 0.53-0.7, p < 0.001). Post-pembrolizumab survival was longer for LRRC15 -H patients (mOS: 27.2 vs 19.4 months; HR 0.61, 95% CI 0.42-0.89, p = 0.01). Conclusions: LRRC15 -H TNBC exhibited better outcomes with pembrolizumab, likely due to higher immune cell fractions and increased CAFs. These findings highlight TNBC heterogeneity and position LRRC15 as a potential biomarker for tumor stratification, a possible adverse prognostic biomarker and a positive predictive biomarker. Ongoing phase I trials targeting LRRC15 show promise. Combining LRRC15 -targeted therapies with immunotherapy may improve TNBC outcomes, warranting further validation in breast cancer models.

3116 Background: Pralsetinib is an oral tyrosine kinase inhibitor that selectively and potently targets oncogenic RET fusion and mutation proteins. RET fusions or mutations are present in various tumor types. We report the final results from the phase 2 portion of ARROW, a phase 1/2, open-label, multi-cohort, dose-expansion study evaluating the efficacy and safety of pralsetinib (NCT03037385) in patients with RET fusion-positive solid tumors other than non-small-cell lung cancer (NSCLC) and thyroid cancer. Methods: Eligible pts were ≥18 years of age with a pathologically documented, definitively diagnosed advanced solid tumor with an oncogenic RET fusion or mutation, had previously received standard of care appropriate for their tumor type, and were not eligible for any other study groups. Overall response rate (ORR) and safety were primary endpoints of the study. Key secondary endpoints included duration of response (DOR), progression-free survival (PFS), and overall survival (OS). The final database lock was May 20, 2024. Results: Twenty-nine patients were enrolled with 11 different solid tumor histologies. Twenty-six (90%) received prior systemic therapy. Median age was 58 years (range 25-75); 59% were female. Twenty-eight patients were included in the efficacy analysis. ORR (by RECIST) was 46.4% (13/28); 10.7% (3/28) achieved complete response (pancreatic cancer, n=2; cancer of unknown primary, n=1) and 35.7% (10/28) achieved partial response. Median PFS was 7 months (95% CI: 3.9, 12.8). Median DOR was 11.1 months (95% CI: 5.5, 25.1). Median OS was 10.3 months (95% CI: 6.8, 25.2). Twenty-five (86%) patients experienced treatment-related adverse events (TRAEs); 19/29 (66%) reported TRAEs ≥grade 3. The most common TRAEs included increased aspartate aminotransferase (11/29; 38%), increased alanine aminotransferase (10/29; 35%), and anemia (9/29; 31%). Four (13.8%) patients experienced hypertension, and 1 (3.4%) patient had ≥grade 3 hypertension. No new safety risks were identified; AEs remained manageable with supportive care and/or dose modifications. Conclusions: In the phase 2 portion of this trial, responses were observed in many tumor types (Table). Pralsetinib demonstrated robust and durable anti-tumor activity with an ORR of 46.4%. These data validate RET fusions as a tissue-agnostic target with sensitivity to RET inhibition and activity beyond NSCLC and thyroid cancer, further supporting the promising potential of pralsetinib to address the unmet medical need in these patients. Clinical trial information: NCT03037385 . Overall response rate by tumor type. Cancer Type (patient n) ORRn (%) Pancreatic (5) 5 (100) Cancer of unknown primary (1) 1 (100) Neuroendocrine (3) 2 (67) Sarcoma (3) 2 (67) Head and neck (2) 1 (50) Small cell lung (2) 1 (50) Hepatobiliary (4) 1 (25) Colorectal (5), gastric (1), ovarian (1), thymic (1) 0

Abstract Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare, aggressive lung tumor marked by significant molecular heterogeneity. In a study of 590 patients across two independent cohorts, we observed comparable overall survival across treatment regimens (chemotherapy, chemoimmunotherapy, immunotherapy) without unexpected adverse events. Genomic analysis identified distinct NSCLC-like (KEAP1, KRAS, STK11 mutations) and SCLC-like (RB1, TP53 mutations) LCNEC subtypes, with 80% aligning with SCLC transcriptional profiles. Serial sampling revealed stable mutational but shifting transcriptomic landscapes over time. NSCLC-like LCNECs showed elevated FGL-1 (a LAG-3 ligand) and SPINK1 expression, while SCLC-like subtypes expressed higher levels of DLL3. Immunofluorescence confirmed FGL-1 in NSCLC-like LCNECs, and H&E slide analyses indicated fewer tumor-infiltrating lymphocytes in LCNECs versus other lung cancers. These findings highlight LCNEC’s distinct immunogenomic profile, supporting future investigations into LAG-3, SPINK1, and DLL3-targeted therapies.

LBA110 Background: There are limited data on COVID-19 in patients with cancer. We characterize the outcomes of patients with cancer and COVID-19 and identify potential prognostic factors. Methods: The COVID-19 and Cancer Consortium (CCC19) cohort study includes patients with active or prior hematologic or invasive solid malignancies reported across academic and community sites. Results: We included 1,018 cases accrued March-April 2020. Median age was 66 years (range, 18-90). Breast (20%) and prostate (16%) cancers were most prevalent; 43% of patients were on active anti-cancer treatment. At time of data analysis, 106 patients (10.4%) have died and 26% met the composite outcome of death, severe illness requiring hospitalization, and/or mechanical ventilation. In multivariable logistic regression analysis, independent factors associated with increased 30-day mortality were age, male sex, former smoking, ECOG performance status (2 versus 0/1: partially adjusted odds ratio (pAOR) 2.74, 95% CI 1.31-5.7; 3/4 versus 0/1: pAOR 5.34, 95% CI 2.44-11.69), active malignancy (stable/responding, pAOR 1.93, 95% CI 1.06-3.5; progressing, pAOR 3.79, 95% CI 1.78-8.08), and receipt of azithromycin and hydroxychloroquine. Tumor type, race/ethnicity, obesity, number of comorbidities, recent surgery, and type of active cancer therapy were not significant factors for mortality. Conclusions: All-cause 30-day mortality and severe illness in this cohort were significantly higher than previously reported for the general population and were associated with general risk factors as well as those unique to patients with cancer. Cancer type and treatment were not independently associated with increased 30-day mortality. Longer follow-up is needed to better understand the impact of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments.

e12545 Background: Palbociclib(P), Ribociclib(R) and Abemaciclib(A) in combination with Endocrine therapy (ET) have demonstrated progression free survival (PFS) in patients with metastatic hormone receptor positive, HER2-negative breast cancer as compared to ET alone. In the absence of head to head clinical trials and to provide clinical guidance, we performed an indirect comparison for P, R and A using network Meta-Analysis (NMA). Methods: MEDLINE, EMBASE and the Cochrane Library were searched to identify RCTs comparing P+ET, R+ET, A+ ET vs ET alone. NMA for PFS and toxicity endpoints was conducted using a multivariate random-effects meta-regression, using a consistency model, as described by White and colleagues. We used a frequentist approach and provided a point estimate from the network and a 95% CI from the frequency distribution of the estimate. We also estimated the relative ranking of the different treatments for each outcome using the distribution of the ranking probabilities and the surface under the cumulative ranking curves (SUCRA). Risk of bias was assessed using Cochrane Collaboration tool. Results: 8 RCTs were identified including 4580 patients. Risk of bias was low. 5 RCTs tested CDK 4/6 inhibitors in endocrine naive and 2 in the refractory setting, while MONALESSA-3 included patients both with endocrine naive and endocrine resistant disease. In the endocrine naïve patients, PFS for P was similar when compared indirectly with R (HR, 0.95, 95% CI 0.67-1.35) or A (HR, 1.00, 95% CI 0.62-1.61). Similarly, indirect comparison between R vs A did not show any statistical significant (HR, 0.95, 95% CI 0.62-1.45). In endocrine refractory patients, P showed no difference when compared indirectly to A (HR 1.12, 95% CI 0.67-1.87) or R (HR 0.98, 95% CI 0.52-1.86). R vs A did not show any statistically significant PFS either (HR, 1.14, 95% CI 1.61-4.51). P was ranked first in terms of PFS in frontline setting (SUCRA of 70.5) while R ranked first in the refractory setting (SUCRA of 39.5). QT prolongation was reported for R only. P caused more neutropenia while A caused more fatigue, anemia and diarrhea, although the results were not statistically significant. Conclusions: The efficacy of using either palbociclib, ribociclib or abemaciclib in combination with ET was similar in terms of PFS in either endocrine naïve or resistant disease. Palbociclib causes more neutropenia, abemaciclib causes more fatigue, anemia and diarrhea while ribociclib causes QT prolongation.