Citations

Abstract Pancreatic ductal adenocarcinoma (PDAC), the most common subtype of pancreatic cancer, is a deadly disease with a complex tumor microenvironment (TME). Cytotoxic combination chemotherapy treatments are the mainstay of PDAC therapy, but patients rapidly develop chemoresistance, highlighting the need to elucidate how chemotherapy alters the TME and whether these changes drive chemoresistance. Here, we examined matched pre- and post-treatment tissue specimens using single-cell RNA-sequencing and found near-universal enrichment after treatment of axonal guidance genes in cancer-associated fibroblasts (CAFs). These neural CAFs were enriched near sites of perineural invasion, coinciding with regions of increased tumor cell proliferation, and were enriched in tumor areas distant from nerves after chemotherapy. Metastatic recurrent lesions had the highest prevalence of neural CAFs versus primary tumors and untreated metastases. Neural CAFs showed elevated non-canonical WNT mediators and axonal guidance genes, which complemented matching cognate binding partners in tumor epithelial cells, suggesting a role in tumor-stroma crosstalk. Additionally, in vitro studies revealed enrichment of axonal guidance genes in patient-derived CAF lines upon exposure to chemotherapy or tumor cells. Altogether, these findings implicate fibroblast-derived axonal-guidance genes in promoting PDAC invasion and point to a promising therapeutic target for this disease.

PURPOSE Deficient mismatch repair/microsatellite instability (dMMR, MSI-H) in biliary tract cancers (BTCs) is observed in 1%-5% of tumors. MSI-H across solid tumors has demonstrated durable response to immune checkpoint inhibitors (ICIs) regardless of the anatomic location. Here, we describe clinical outcomes and surgical conversion of MSI-H BTC treated with ICIs. Patients and Methods We conducted a multicenter, retrospective analysis of BTC patients with dMMR/MSI-H between 2017 and 2024 at Mayo Clinic, University of Michigan, and University Hospitals Seidman Cancer Center. Outcomes of interest were surgical resection rate, rate of pathologic response, 2-year overall survival (OS; time from initiation of treatment to death/last follow-up), and time to treatment discontinuation (TTD; time from initiation of treatment to cessation because of any cause). Analyses were descriptive. RESULTS Thirty patients with MSI-H BTC were identified: 19 with cholangiocarcinoma, three with gallbladder cancer, and 8 with BTC undefined. The median age at diagnosis was 61.5 years (range, 26-86). Twenty-six (86.7%) patients had advanced stage at diagnosis. Twenty-seven patients (90%) received first-line systemic therapy, and 13 (48.1%) continued onto second line. Six patients (23.1%) were restaged to resectable from advanced disease after ICI therapy and underwent resection; all remained recurrence-free at last follow-up. Of these six patients, 3 (50%) achieved a pathologic complete response. Among those receiving first-line therapy, the median TTD was 9.9 months (95% CI, 5.7 to 14.5 months) and the 2-year OS was 73% (95% CI, 56% to 94%). CONCLUSION ICI therapy in patients with MSI-H BTC demonstrated durable response and downstaged some BTC to a resectable stage. dMMR/MSI-H should be performed up-front to guide treatment decisions.

4213 Background: Elraglusib (9-ING-41), a glycogen synthase kinase-3β (GSK-3β) inhibitor, has multimodal antitumor activity. In the international, open-label, randomized phase 2 1801 Part 3B study, elraglusib plus gemcitabine/nab-paclitaxel (GnP) was evaluated in previously untreated metastatic pancreatic ductal adenocarcinoma (mPDAC), with patients randomized 2:1 to weekly elraglusib/GnP or GnP alone. Primary endpoints were median overall survival (mOS) and 1-year survival. The GnP control arm demonstrated shorter mOS than contemporary randomized trials (7.2 months vs 9.2 months in NAPOLI-3 and 9.7 months in PASS-01), driven by higher early mortality (0–2 months: 23.1% vs 10.1% in NAPOLI-3). Given balanced randomization, similar early mortality was inferred in the elraglusib/GnP arm, prompting post-hoc analyses to contextualize efficacy and identify factors associated with early death. Methods: Efficacy and safety were summarized descriptively. Time-to-event endpoints were analyzed using Kaplan–Meier estimates, log-rank testing, and Cox proportional hazards models. Response rates were compared using the Cochran–Mantel–Haenszel test. Post-hoc subgroup, sensitivity, and machine-learning–based multivariate analyses explored clinical, demographic, and biomarker correlates of survival and early mortality. Results: In the full randomized population (elraglusib/GnP n=155; GnP n=78), elraglusib/GnP improved mOS by 2.9 months versus GnP (10.1 vs 7.2 months; HR 0.62; 95% CI 0.46–0.84; p=0.01), with 1-year survival rates of 44.1% versus 22.3%. Among patients receiving ≥1 full treatment cycle, mOS was 12.5 months with elraglusib/GnP and 8.5 months with GnP, comparable to contemporary registrational trials. Across multiple post-hoc sensitivity analyses—including evaluable patients, those matched to NAPOLI-3 baseline tumor burden, patients treated in the EU (early mortality 4%), and those achieving ≥20% CA19-9 decline within the first 1–2 cycles—elraglusib/GnP consistently demonstrated a ≥4-month OS advantage. Early death was associated with low baseline albumin (<3 g/dL), high CA19-9 (>800 U/mL), high tumor burden, and KRAS, TP53, and CDKN2A co-mutations. Conclusions: The elevated early mortality in the GnP control arm reflects enrollment of a heterogeneous, real-world mPDAC population with less restrictive eligibility than recent registrational trials. Post-hoc analyses identify key clinical and molecular drivers of early death and confirm a consistent survival benefit with elraglusib/GnP. These hypothesis-generating findings directly inform eligibility criteria, stratification, and endpoint assumptions for the planned phase 3 trial. Clinical trial information: NCT03678883 .

Abstract Background Sleep disorders are increasingly recognized as important risk factors for cardiovascular disease (CVD), yet their contribution to cardiovascular mortality remains insufficiently examined at the population level. This study aimed to evaluate long-term trends in CVD mortality where sleep disorders were identified as contributing causes of death. Methods We analyzed U.S. national mortality data from 1999 to 2020 among individuals aged 15 to 84 years. Cases were selected where CVD (ICD-10: I11.0, I11.9, I20-I25, I48, I49.0, I49.9, I50.0, I50.1, I50.9) was the underlying cause and sleep disorders (ICD-10: G47.0-G47.3) were listed as contributing causes. Joinpoint regression was employed to assess temporal changes in age-adjusted mortality rates (AARs), with standard errors provided in the input data and model selection performed using Weighted BIC. APCs were estimated using the Empirical Quantile Method with 5001 resamples. Results A total of 118,440 deaths were included across 22 annual time points. Joinpoint regression identified two significant inflection points (2005 and 2018). From 1999 to 2005, AARs increased sharply (APC = 14.47%; 95% CI: 11.56-19.54; p = 0.0016), followed by a slower rise from 2005 to 2018 (APC = 6.62%; 95% CI: 4.23-10.83; p &lt; 0.000001), and a renewed acceleration from 2018 to 2020 (APC = 11.54%; 95% CI: 7.01-14.12; p &lt; 0.000001). Males had more than twice the AAR compared to females (3.00 vs. 1.31 per 100,000). Black individuals had the highest burden by race (AAR = 2.55), and geographic variation ranged widely from 0.70 in New York to 3.38 in Wyoming. Conclusions Over two decades, cardiovascular mortality with contributory sleep disorders has risen significantly, with widening demographic and geographic disparities. These findings reinforce that sleep disorders are not merely comorbidities but pivotal, modifiable drivers of cardiovascular morbidity and mortality. Untreated sleep conditions such as insomnia, obstructive sleep apnea, and circadian disruptions exacerbate autonomic dysfunction, inflammation, hypertension, and metabolic dysregulation. Addressing sleep health must become a core component of cardiovascular risk reduction strategies, both in clinical practice and public health policy. Failure to integrate sleep disorder screening, diagnosis, and management into CVD care pathways risks perpetuating a preventable and growing burden of disease. This abstract is funded by: None

Abstract Non-small cell lung cancer (NSCLC) exhibits strikingly different responses to antiangiogenic therapies between its two major histologic subtypes, lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), suggesting an histotype-specific regulation of angiogenesis. Cancer-associated fibroblasts (CAFs) commonly exhibit an activated/myofibroblast-like phenotype in NSCLC, and are emerging as key modulators of tumor progression; however, their contribution to angiogenic control remains undefined. Here, we investigated angiogenesis and hypoxia signatures in NSCLC and integrated bulk RNA-seq, scRNA-seq, CAF secretome profiling, genetic perturbations, and functional in vitro and in vivo assays to dissect the histotype-dependent production of pro-angiogenic factors by CAFs. We observed greater angiogenesis and reduced necrosis/hypoxia in LUAD compared to LUSC across multiple patient cohorts. The LUAD-CAF secretome was primed for angiogenesis through SMAD3-dependent overproduction of key regulators, most notably TIMP-1 and VEGF-A. We also uncovered a previously unrecognized role for TIMP-1 in promoting endothelial hyper-branching. In contrast, LUSC-CAFs displayed attenuated angiogenic activity despite robust HIF-1α upregulation and an hypoxia-associated transcriptional program, due to their epigenetic repression of SMAD3 and compensatory increase in SMAD2. Collectively, these results reveal that CAFs critically shape the distinct angiogenic landscapes of LUAD and LUSC through opposing SMAD2/3 regulation of TIMP-1, VEGF-A, and hypoxia signaling. These results further highlight the therapeutic potential of targeting stromal SMAD3/TIMP-1 in LUAD or microenvironmental stressors such as hypoxia and acidosis in LUSC. In addition, these findings provide a biological framework for understanding histotype-specific patterns of dissemination, immune evasion, and response to antiangiogenic therapies in NSCLC. Citation Format: Jordi Alcaraz, Natalia Isabel Diaz Valdivia, Paula Duch, Marselina Arshakyan, Amelia Parker, Alejandro Bernardo Suarez, Danielle Park, Erik Sahai, Noemi Reguart, Derek C. Radisky, Oriol Casanovas. Antagonistic SMAD2/3 control of TIMP-1, VEGF-A, and hypoxia signaling in myofibroblasts shapes histotype-specific angiogenesis in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4797.

BACKGROUND: Despite the widespread adoption of minimally invasive surgery in the US, disparities in its use persist. One unexplored contributor is geographic access to robotic surgical systems. This study evaluates the geospatial association between: (1) Social Vulnerability Index (SVI) and open surgery rates, (2) availability of robotic systems and open surgery, and (3) open surgery rates in demographically similar areas with differing robotic access. STUDY DESIGN: Data from 6 sources were linked at the ZIP Code Tabulation Area (ZCTA) level to identify hospitals and to extract procedure modality, presence of robotic systems, and area characteristics. Regression analysis assessed the association between SVI and open surgery rates. Open rates were then compared between hospitals with and without robotic systems. Propensity score matching was used to compare open rates across matched ZCTAs by robotic access and SVI levels. RESULTS: Higher social vulnerability was associated with increased open surgery rates (estimate = 0.20; p < 0.01), with rates ranging from 18.3% in low-vulnerability areas to 32.7% in high-vulnerability areas. Among 3,446 eligible ZCTAs, 57% had at least 1 robotic system. ZCTAs without robotic systems had higher open surgery rates (42.9 vs 19.4 per 100 procedures; relative rate = 2.21; p < 0.01). This association remained significant after matching (relative rate = 1.66; p < 0.01), for the low-mid- and high-SVI strata, and 3 of the 5 procedures examined. CONCLUSIONS: When correcting for geographic variation, the availability of robotic surgery was associated with a decrease in open surgery rates.

761 Background: Glycogen Synthase Kinase-3β (GSK-3β) is a known therapeutic target in cancer including pancreatic adenocarcinoma (PDAC). The combination of elraglusib (9-ING-41), a novel GSK-3 inhibitor, and gemcitabine/nab-paclitaxel (GnP) is being evaluated as first-line therapy for patients with metastatic PDAC (mPDAC). We previously reported topline results indicating that the 1801 Part 3B phase 2 trial (NCT03678883) met its primary endpoint, showing a clinically meaningful survival benefit in patients treated with elraglusib/GnP compared to GnP alone. Here, we examined whether gene mutations correlated with clinical outcomes in mPDAC patients enrolled in this randomized phase 2 trial. Methods: For mutational analysis, archival tumor and/or plasma samples were obtained from 53 (GnP group) and 117 (elraglusib/GnP group) patients with previously untreated mPDAC. Cell-free DNA and/or tumor-extracted DNA were analyzed using the next generation sequencing. The comparison of the response rates was performed with the use of Chi-square tests. Kaplan-Meier survival curves were compared by log-rank (Mantel-Cox) tests. Results: Mutational analysis identified frequently mutated genes (detectable in ≥25% of patients): KRAS (141/170, 83%), TP53 (121/170, 71%), and CDKN2A (56/170, 33%). Mutations in KRAS, TP53, or CDKN2A genes did not correlate with objective response rate. Based on 81% of the recorded death events in the elraglusib/GnP group and 91% in the GnP group (topline data April, 2025), KRAS and TP53 gene mutations were associated with worse overall survival (OS) in patients treated with elraglusib/GnP (p<0.05) but not in GnP-treated patients. The rate of triple (KRAS+TP53+CDKN2A) mutations was significantly higher in the patients with OS<2 months as compared to the patients with OS>2 months in the elraglusib/GnP group (p<0.05) but not in the GnP group. Conclusions: Our preliminary results identified KRAS and TP53 gene mutations as potential predictive biomarkers of clinical outcome in elraglusib/GnP-treated mPDAC patients. Updated OS data and mutational analysis will be included in the final presentation. Clinical trial information: NCT03678883 .

653 Background: Elraglusib (9-ING-41), a novel small molecule inhibitor of GSK-3ß, has a multimodal mechanism of action that enhances chemotherapy cytotoxicity and regulates anti-tumor immune cell response. Elraglusib was evaluated in a randomized, open-label, phase 2 study (NCT03678883) comparing elraglusib/GnP vs GnP in previously untreated mPDAC. Methods: Pts were randomized 2:1 to GnP plus elraglusib 9.3 mg/kg IV once weekly or GnP. Primary endpoint was mOS, with 1-yr OS rate estimates summarizing clinical benefit throughout the study. Secondary endpoints were ORR, mPFS, and TEAEs/TRAEs. Pre-dose cytokines, mutational analysis, and immunophenotyping were correlated with outcomes. An oral presentation at ASCO 2025 discussed preliminary data. Results: As of 27 April 2025, the primary analysis set included 155 pts in the elraglusib/GnP arm and 78 pts in the GnP arm, with 52.8% males and 57.5% ECOG PS 1. The 1-yr OS rate was 44.1% with elraglusib/GnP vs 22.3% with GnP; the mOS was 10.1 mo with elraglusib/GnP vs 7.2 mo with GnP (HR, 0.62; p=0.01) with approximately 79% events recorded (25.8% of pts on elraglusib/GnP and 10.3% on GnP were censored with the majority at >12 mo OS). Improved OS with elraglusib/GnP was consistent across all randomized pts and subgroups regardless of liver metastases, ECOG status, or baseline CA 19-9 levels. Most common TRAE with elraglusib/GnP was grade 1-2 transient visual impairment (66.5% pts vs 0 with GnP). Most common grade ≥3 TEAEs with elraglusib/GnP (vs GnP) were neutropenia 52.3% (vs 30.8%) and anemia 25.2% (vs 29.5%). No differences in sepsis/febrile neutropenia rates were between arms. RAS , TP53 and CDKN2A co-mutations were associated with worse OS in the elraglusib/GnP arm only (p<0.05). Elevation in pre-dose cytokines including CXCL2 correlated with improved OS in the elraglusib/GnP arm. Additionally, increased CD8+ T cells, granzyme B, and NK cells and reduced MDSCs were observed in elraglusib-treated tumors. Conclusions: A significant benefit for 1-yr OS and mOS and a favorable trend for ORR were observed with the addition of elraglusib to GnP. The mOS was lower in the GnP arm vs historical studies, likely due to early deaths in the first 2 months, but aligns with mOS estimates in the real-world analysis with broad heterogeneous population. Our study included 19.7% pts with albumin <3.0 g/dL and >25% with CA 19.9 levels > 8,000 U/mL. Immune correlates support elraglusib’s immune-modulatory role. Final efficacy data cut-off in Dec 2025 and correlative studies will be presented. Clinical trial information: NCT03678883 . Outcome Elraglusib/GnPN=155 GnPN=78 Primary endpoint: mOS (mo)HR=0.62; log-rank p=0.01 10.1 7.2 Events, n (%) 115 (74.2) 70 (89.7) Primary endpoint: 1-yr OS (%) 44.1 22.3 18-month OS (%) 20.5 4.4 24-month OS (%) 13.2 0 mPFS (mo)HR=0.9; p=NS 5.6 5.1 Events, n (%) 136 (87.7) 75 (96.2) ORR, n (%) 44 (28.4) 17 (21.8)

567 Background: IDH2 mutation is rare (1%) in patients (pts) with cholangiocarcinoma and there are no data on prognosis in these pts and response to first line (1L) chemotherapy or off-label IDH2 inhibitor enasidenib. Methods: This IRB approved retrospective study included consecutive pts 18 years or older with IDH2 mutated biliary cancer identified between 2010-2024 at 4 large academic centers. Pt characteristics, systemic therapy(ies), next-generation sequencing (NGS) and survival data were obtained via review of electronic medical records. Survival probabilities were estimated using the product-limit method of Kaplan-Meier using SAS (v9.4, Cary, NC). Results: In 40 pts who met criteria, 9 (22.5%) underwent curative intent resection/ ablation, 34 (85%) had recurrent or de novo locally advanced or metastatic stage and of them 33 (82.5%) received any therapy for advanced cancer. Of these 33 pts, 25 (75.7%) were female, 29 (87.9%) non-Hispanic White and 32 (97%) had intrahepatic subtype with a median (range) age of 65 (28-82) years. NGS on tissue (51.5%), plasma (21.2%) or both tissue and plasma (27.3%) identified IDH2 R172* in 28 (84.8%), I98T in 1 (3%), F278fs in 1 (3%) pts and not reported/missing in 1 (3%) pt. Most common co-altered genes included TP53 (27.5%), ARID1A (17.5%), PBRM1 (12.5%), CDKN2A (10%), BAP1 (10%). FGFR2 fusion or N/KRAS mutation was present in 2 (5%) pts each. Of 33 pts with advanced stage, 1L therapy was gemcitabine/platinum +/- devimistat or durvalumab in 84.9%. Median (95% CI) progression-free survival (PFS) on 1L chemotherapy and overall survival were 6.6 (4.1-7.8) and 16.3 (12.1-28.9) months, respectively. Eight of 33 (24.2%) pts with advanced stage received off label enasidenib as Nth line therapy with median PFS (95% CI) 3.9 (1.1-5.1) months. Conclusions: Most pts with IDH2 mutation had advanced ds with median survival similar to those with IDH1 mutated advanced cholangiocarcinoma. Off label enasidenib had modest benefit in this rare subset of pts and should be investigated further.

566 Background: FGFR inhibitors (FGFRi) have an established role in treating FGFR2-altered (alt) cholangiocarcinoma (CCA). Tinengotinib, a novel FGFRi, has shown promising activity overcoming acquired resistance to prior FGFRi. We present biomarker analyses evaluating tinengotinib’s ability to overcome prior FGFRi resistance and to elucidate mechanism of resistance to tinengotinib. Methods: Eligible patients (pts) with advanced/metastatic CCA who had received ≥ 1 prior systemic chemotherapy were treated with tinengotinib 10 mg daily across 4 Cohorts: A1: FGFR2 fusion (fus) with primary progressive disease (PD) on prior FGFRi; A2: FGFR2 fus with PD after prior response to FGFRi; B: FGFR alt without FGFR2 fus; C: FGFR wild-type. Efficacy was assessed by RECIST v1.1. All pts underwent liquid biopsy for circulating tumor DNA (ctDNA) at baseline; additional timepoints include cycle 3 day 1 (C3D1), time of PD, and end of treatment (EOT). Samples were analyzed using FoundationOne Liquid panel. Results: 27 out of 55 enrolled pts had biomarker samples collected at baseline and C3D1. Among them, pts in A1 (n=10, 107 mutations (mut)), B (n=8, 90 mut) and C (n=5, 74 mut) showed a significant decrease in short variant allele frequencies (VAF) from baseline to C3D1 by a median relative VAF reduction of 100% (p<0.0001) for each of the three cohorts. Although a median relative VAF reduction of 33.3% was seen in A2 (n=4, 15 mut), this was not significant (p=0.6093) likely due to low baseline mutation burden. A ≥50% reduction in ctDNA was associated with improved progression free survival (p<0.0014). Additionally, 100% of median relative reductions in FGFR2 kinase domain (KD) mut were seen in A1 and B (p<0.0001, 95% CI 100-100% and p=0.0156, 95% CI 83.6-100%, respectively), with 92% and 57% clearance of initial FGFR2 KD mut by C3D1. In a subgroup of 10 pts with biomarker sampling at baseline and EOT, 3 pts in A1 with acquired resistance showed emergence of novel FGFR2 mut, loss of FGFR-sensitive mut and new mut in alternate pathways (e.g., AKT, EGFR, RAS/MAPK) while retaining the original FGFR2 fus. 1 pt from B developed resistance due to new FGFR2 rearrangements and FGFR2 mut. 4 FGFR wild-type pts from C developed resistance involving mut in TP53, KRAS, and other oncogenic drivers. Conclusions: These findings provide genomic evidence that tinengotinib may overcome resistance to prior FGFRi treatment in FGFR2 fus-positive CCA, as reflected by significantly reductions in ctDNA VAFs and frequent clearance of FGFR2 KD mutations. The emergence of resistance alterations including de novo FGFR2 mutations and bypass pathways activations indicates acquired resistance that may limit long-term benefit. These results support further investigation with expanded biomarker sampling to better characterize resistance evolution and guide therapy optimization in an ongoing Phase 3 trial. Clinical trial information: NCT04919642 .