Citations

Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH’s Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles. Gold Standard Science supports open science by emphasizing transparency, reproducibility, and the use of best practices that enable others to verify and extend research. Pairing a research article’s cited data snapshot with a versioned, environment-specific code release, deposited in a companion code repository, ensures that, upon submission to a medical journal, readers and reviewers can directly verify results. An executable and updatable companion code repository complements, rather than replaces, established research data repositories. When code underlying medical research results is made openly available, then other scientists can inspect, run, and validate analyses. These activities enhance reproducibility, which is a core aim of GSS. Shared code also facilitates collaborative innovation by allowing researchers to extend the utility of the code to new datasets and applications. For researchers, code sharing can increase visibility, credibility, and citation impact. Demonstrating transparency through shared executable and updatable code builds trust with journal readers, peer reviewers, funders, and peers. Shared code in an open access repository signals adherence to high standards of scientific integrity and attracts opportunities for collaboration. A researcher who shares code receives recognition as a leader in reproducible, trustworthy research consistent with NIH’s GSS principles.

Complement-mediated hemolytic uremic syndrome (CM-HUS), commonly referred to as atypical HUS, is a rare thrombotic microangiopathy caused by uncontrolled activation of the alternative complement pathway, typically triggered by a “two-hit” mechanism. It is characterized by microangiopathic hemolytic anemia, thrombocytopenia, and end-organ damage, most commonly affecting the kidneys. While our understanding of the complement system has advanced significantly, CM-HUS remains a complex, heterogeneous disorder influenced by a spectrum of genetic variants, risk haplotypes, and acquired factors such as anti-factor H autoantibodies. This review highlights the current knowledge of CM-HUS pathogenesis, focusing on genetic variants in regulatory and activating proteins of the complement system. We also discuss the diagnostic complexity posed by incomplete penetrance, overlapping phenotypes, and limitations of genetic and functional assays. Emerging ex-vivo assays and complement biomarkers are explored as tools for refining diagnosis and risk stratification. The use of complement inhibitors such as eculizumab and ravulizumab has significantly improved renal outcomes and survival. This review provides a comprehensive, clinically grounded update on the genetics, pathophysiology, diagnostics, and therapeutic considerations in CM-HUS, aiming to provide clinicians and researchers with a deeper understanding of this complex, complement-driven disease.

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 .

554 Background: Atezo/Bev is the 1 st -line standard for advanced hepatocellular carcinoma (aHCC). Optimal 2 nd -line therapy post-Atezo/Bev remains undefined. This study evaluates continuation of atezolizumab with a MKI versus MKI alone in the 2 nd -line setting. Methods: This multicenter, randomized phase II trial enrolled patients with unresectable aHCC who progressed on Atezo/Bev. Patients were randomized 2:1 to atezolizumab plus MKI (cabozantinib or lenvatinib; Arm A) or MKI alone (Arm B). Stratification factors included MKI choice, viral etiology, and alpha-fetoprotein levels. Dual primary endpoints were overall survival (OS) and progression-free survival (PFS). Secondary endpoints included objective response rate (ORR), duration of response (DOR), and safety. With 84 death and 89 PFS events, from 122 patients, this trial had 80% power to detect a hazard ratio (HR) of 0.556 in OS and HR of 0.571 in PFS with a one-sided type I error (alpha) of 0.05 for each endpoint. Results: Twenty patients were accrued across 5 U.S. centers, between 01/2022 and 03/2025, before early closure due to slow accrual. Eighteen received treatment (Arm A: n=13; Arm B: n=5). Baseline characteristics: median age 68 yr, extrahepatic 56%, Hep B+ 0%, Hep C+ 33%, NASH 33% and CP A (5 to 6) 100%. MKIs used were cabozantinib (Arm A: 6/13; Arm B: 4/5) and lenvatinib (Arm A: 7/13; Arm B: 1/5). Median follow-up was 28.0 months (mo), with 14 deaths reported. Median (95% CI) OS were 13.9 (7.1-Not Estimable [NE]) and 6.2 (5.1-NE) mo (Arm A and B respectively); and that of PFS 4.3 (2.3-NE) and 4.1 (3.7-NE) mo. ORR was 7.7% (1/13) in Arm A (responder received lenvatinib) and 0% (0/5) in Arm B. Grade ≥3 adverse events (at least possibly related) occurred in 46.2% of Arm A and 60.0% of Arm B patients. G3+ events occurring in >10% of patients included hypertension, fatigue, anorexia, and ALT elevation in Arm A; and hypertension, hallucination, nausea, hypomagnesemia, hypokalemia, mucositis, AST increased and colitis in Arm B. Conclusions: In this limited cohort, continuation of atezolizumab with MKI showed relative activity and manageable safety in aHCC post-Atezo/Bev. The AE profile for atezo/MKI is consistent with the known profile of respective agents. These findings support further investigation of immunotherapy-based combinations in the 2nd-line setting. Clinical trial information: NCT05168163 .

334 Background: Sarcopenia, or decreased skeletal muscle mass, has been associated with worse surgical and oncologic outcomes across multiple malignancies. This study investigates the impact of sarcopenia on outcomes after multimodal therapy for esophageal cancer. Methods: Retrospective observational cohort study including adult patients who underwent neoadjuvant therapy followed by esophagectomy for primary esophageal cancer from January 2000 - December 2021. A fully automated abdominal segmentation using deep convolutional neural network was utilized to calculate skeletal muscle index (SMI) from preoperative CT scans performed at our institution. Males with SMI <52.4 cm 2 /m 2 and females with SMI <38.5 cm 2 /m 2 at any point before surgery were classified as sarcopenic. The relationship between sarcopenia and patient demographics, operative details, and complications were explored using chi-square tests. The relationship between sarcopenia and disease-free survival and overall survival were investigated using parsimonious multivariable analysis retaining variables with p-value <0.05 using backward selection method. Results: We identified 200 patients meeting the study criteria with 142 (71%) having sarcopenia at any time prior to surgery. Patients with sarcopenia were significantly older [65.2 (59.6, 71.2) vs 63 (53.6, 67.5), p = .023] and more likely to have had open surgery [129 (90.8%) vs 46 (79.3%), p = .034]. There were no significant differences in sex, history of diabetes, coronary artery disease, renal disease, smoking, cancer type, cancer stage, tumor size, tumor location, or margin status between sarcopenic groups ( p > .05). Sarcopenic patients were significantly more likely to require blood transfusion ≥3 units after esophagectomy [79 (55.6%) vs 8 (13.8%), p < .001] or to experience complications requiring surgical intervention [36 (24.6%) vs 7 (12.1%), p = .048]. Multivariate analysis revealed that sarcopenia was associated with disease-free and overall survival (Table). Conclusions: Sarcopenia is a prognostic factor in patients undergoing multimodal therapy for esophageal cancer. Interventions that aim to prevent decreases in SMI after initiating neoadjuvant therapy should be investigated. Multivariate analysis with sarcopenia predicting outcomes. Disease free survivalHR (95% CI) p-value Overall survivalHR (95% CI) p-value Age 1.04 (1.02, 1.06) < .001 1.04 (1.02, 1.07) < .001 Epicenter Middle Upper 1.88 (1.21, 2.86)3.16 (1.67, 5.98) .001.005< .001 1.96 (1.26, 3.04)4.00 (1.90, 8.44) < .001.003< .001 Stage Stage II Stage III Stage IV 1.88 (0.95, 3.71)2.90 (1.46, 5.75)16.02 (6.12, 41.93) < .001.069.002< .001 1.65 (0.83, 3.25)2.76 (1.37, 5.55)10.14 (4.03, 25.53) < .001.151.005< .001 Cancer type - - 1.76 (1.03, 3.02) .039 Transfusion > 3 pRBC - - 1.54 (0.99, 2.40) .057 BMI prior to cancer diagnosis - - 0.98 (0.94, 1.01 .208 Sarcopenic 1.76 (1.16, 2.67) .007 1.64 (1.04, 2.60) .033

Abstract Background In vivo biomarkers that can detect long‐term neuropathologies from repetitive head impact (RHI) exposure are needed, especially for the neurodegenerative tauopathy chronic traumatic encephalopathy (CTE). Here, we evaluated plasma p ‐tau217 as a potential biomarker for CTE p ‐tau pathology, and examined the concordance between plasma p ‐tau217 and Aβ pathology in an at‐risk for CTE sample. Method The sample included 180 male former football players (120 professional, 60 college), and 56 asymptomatic men without RHI (i.e., controls). Participants completed blood draws, 18F‐florbetapir (Aβ+=SUVR≥1.10), and 18F‐flortaucipir PET. Traumatic encephalopathy syndrome (TES) diagnoses were made. Single molecule array for plasma p ‐tau217 (ALZpath) was performed (≥0.6 cutoff used to maximize sensitivity). Nine participants had post‐mortem tissue. ANCOVA examined group differences in p ‐tau217 (football vs controls; TES‐CTE no, TES‐CTE suggestive, TES‐CTE possible/probable). Multivariable regression models tested associations between p ‐tau217 and florbetapir/flortaucipir PET. Covariates included age, race and APOE e4 . Result Sample characteristics are in Table 1. p ‐tau217 concentrations were higher in former football players compared to controls (est. marginal mean difference=‐0.217, p = 0.005). There were no group differences in Aβ‐PET SUVR. No differences were found across TES‐CTE certainty levels. In football players, higher p ‐tau217 was associated with higher Aβ‐PET SUVR (B=1.380, 95%CI[0.597‐2.155], p = 0.001) but not when Aβ+ ( n = 17) participants and those with kidney/liver disease ( n = 5) were excluded. Aβ+ participants had the highest p ‐tau217 (Figure 1). When compared against Aβ‐PET, several false Aβ‐positives (high p ‐tau217, Aβ‐) were identified, including one extreme outlier (assay related) and a cluster of Aβ‐ participants with p ‐tau217 between 0.60–1.0. There were no associations with flortaucipir SUVR (frontal, mesial temporal, left parietal). Two extreme p ‐tau217 outliers had autopsy‐confirmed CTE stage III (AD‐, Table 2). Of the remaining donors, all were AD‐ and four had CTE (stages II‐IV) with ptau217 between 0.125‐0.449. Conclusion Plasma p ‐tau217 has usefulness in quantifying Aβ pathology but restricted utility for detection of CTE. In this at‐risk for CTE sample, p ‐tau217 and Aβ‐PET were associated at the group level. At the individual level, false Aβ‐positives (and negatives) existed, including Aβ‐ participants with high p ‐tau217. We will explore whether this discrepancy is due to disease or peripheral interference with the N‐terminal binding in p ‐tau assays.