Citations

Abstract Background and Aims Whether hemodynamic and symptomatic benefits of the APTURE left atrial-to-coronary sinus shunt translate into clinical outcome benefit in heart failure with left ventricular ejection fraction >40% remains unknown. Methods In this post hoc analysis of ALT-FLOW EFS patients undergoing APTURE implantation, Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score-predicted 1-year all-cause mortality was compared with observed mortality by Kaplan-Meier analysis of adjudicated events. Heart failure hospitalization (HFH) rates were compared for the 12 months before vs after implantation. Additional analyses included stratification by baseline sodium-glucose cotransporter 2 inhibitor (SGLT2i) use and N-terminal pro-B-type natriuretic peptide (NT-proBNP), recurrent HFH cumulative hazard estimation (Nelson-Aalen), and H2FPEF score calculation. Results Among 95 patients (mean age 70.9 ± 8.5 years; 50% women; 93% New York Heart Association Class III; 85.9% with H2FPEF score >3), MAGGIC-predicted 1-year mortality was 13.0%. Observed 1-year survival was significantly higher than predicted (94.7% vs 87.0%; P=0.04), consistent across SGLT2i subgroups (log-rank P=0.59). The proportion of patients with HFH declined from 37.9% pre implantation to 9.6% post implantation (P<0.0001), with event rates falling from 0.61 to 0.21 per patient-year (P<0.001) and a 1-year cumulative hazard of recurrent HFH of 0.19 (95% confidence interval, 0.12-0.31). HFHs were evenly distributed across NT-proBNP strata. Conclusions In ALT-FLOW EFS, observed 1-year mortality was lower than MAGGIC-predicted mortality, and post implantation HFH rates were lower than pre implantation rates. These hypothesis-generating findings will require confirmation in the randomized, sham-controlled ALT-FLOW II trial.

Abstract Introduction Revascularization to prevent limb loss is not feasible or represents a very high risk in a significant proportion of patients with chronic limb-threatening ischaemia (CLTI). No standard definition currently exists to define this population of patients. The aim of this study was to develop a consensus-based, multidomain definition to improve clinical assessment and reporting of studies in people with ‘no option’ (NO) or ‘poor option’ (PO) CLTI. Methods A modified Delphi process was conducted with 164 specialists from 30 countries. Two iterative survey rounds were used to reach consensus, defined as ≥70% agreement with a score of ≥7 on a nine-point scale. Results Some 164 international vascular specialists participated in the study, averaging 19 years of experience. A multidomain framework including arterial disease anatomy, biology, risk, function, and context (ABRFC) achieved 83% consensus. A ‘desert foot’ was defined as the absence of distal arterial revascularization targets on advanced non-invasive imaging, invasive digital subtraction angiography, and at least one failed endovascular revascularization attempt (81.6% agreement). Inadequate autogenous bypass conduit was defined as the lack of usable autologous vein across all four limbs (85% agreement). Patients were classified as NO for revascularization if they present with ‘desert foot’, prohibitive medical risk, a non-functional limb, or in those patients who refused arterial revascularization. PO revascularization patients combined factors such as severe infection, lack of autologous vein, or treatment non-compliance (72.1% agreement). Conclusion This consensus study established a structured, expert-validated definition of no option or poor option for revascularisation of patients with CLTI. The multidomain ABRFC framework provides a foundation for standardized clinical assessment, trial design, and future guideline development.

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.

Abstract Aims Rheumatic heart disease (RHD) remains the most prevalent acquired cardiovascular disease among young adults in developing countries, and there is a critical need for an efficient, affordable, and available screening strategy to detect RHD in these resource-limited areas. The 12-lead electrocardiogram (ECG) is a ubiquitous, inexpensive diagnostic tool, and application of artificial intelligence to the ECG (AI-ECG) has allowed for screening of various cardiovascular pathologies. Methods and results Patients aged >18 years with severe RHD with at least one transthoracic echocardiogram and one standard 12-lead ECG performed at Groote Schuur Hospital, Cape Town, within 180 days of each other were eligible. A total of 920 RHD patients were identified, with 2199 corresponding controls from the same medical centre. Patients were allocated to derivation (80%), validation (10%), and testing (10%) groups, respectively. The AI-ECG to detect RHD from a standard 12-lead ECG was built using the Keras framework under Tensorflow backend. In the test group, the AI-ECG for RHD exhibited strong algorithm performance with an AUC of 0.890 (95% Confidence Interval 0.848–0.940) and an accuracy of 83.8%. The algorithm remained robust between RHD presentation: mitral valve alone (AUC 0.913) and mixed mitral and aortic valve disease (AUC 0.858). There were minor performance differences in the subgroup analysis of patient sex, age, and ECG characteristics. Conclusion In this study, an AI-ECG algorithm was successfully developed to screen for advanced RHD from a standard 12-lead ECG, and the AI-ECG performance remained acceptable across most subgroups, including RHD manifestation, patient sex, age <70 years, and ECG characteristics.

Abstract To enhance the prediction of traumatic brain injury (mTBI) outcomes, we propose a deep learning approach that integrates brain computed tomography (CT) scans with corresponding synthetic T1-weighted magnetic resonance imaging (T1-MRI). Our method significantly outperforms the prediction using CT scans alone. TRACK-TBI Pilot dataset, which includes imaging and clinical outcome data from patients with TBI, is studied. The hypothesis is brain CT and T1-MRI complement each other and together will improve TBI prognosis compared to using either CT or T1-MRI alone. Since CT and T1-MRI may not be available for the same individual, we employed a specialized version of a generative adversarial network (GAN), known as fixed-point GAN (FP-GAN). FP-GAN was trained using unpaired CT and T1-MRI scans to generate synthetic T1-MRIs from real CT scans. This process produced pseudo-paired CT-MRI data, which was then used to train a deep learning classifier for outcome prediction. The classifier consists of dual parallel 3D ResNet-18 models, each independently processing T1-MRI and CT scans. We used Glasgow Outcome Scale-Extended (GOSE) scores at 3 months post-TBI as the measure of patient outcomes. To avoid data leakage, the subjects used in FP-GAN and ResNet-18 model have no overlap. We further divided the paired data, allocating 69 samples for 5-fold cross-validation and 17 samples for testing. Prognostic performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score (the harmonic mean of precision and recall), sensitivity (true positive rate) and specificity (true negative rate). For binary classification, we defined good recovery as GOSE ≥ 7 (positive) and poor recovery (negative) as 3 ≤ GOSE ≤ 6. Accordingly, our training set consists of 24 subjects with poor recovery and 45 subjects with good recovery, while the testing set includes 5 subjects with poor recovery and 12 subjects with good recovery. A DeLong test on AUC confirms that the improvement from incorporating synthetic T1-MRI (AUC = 0.76 ± 0.10) is statistically significant (P < 0.05) compared to using CT alone (AUC = 0.68 ± 0.13). The significant improvement from using the combination of real CT and synthetic T1-MRI in sensitivity (SEN = 0.95 ± 0.07) and overall performance metrics, such as F1-score (F1 = 0.84 ± 0.03), suggests that the proposed approach provides a robust and effective prognostic approach compared to using CT alone (SEN = 0.83 ± 0.18 and F1 = 0.76 ± 0.07). This pilot research demonstrates the potential of a deep learning-based harmonization model to bridge the gap between CT and T1-MRI in TBI assessment. By integrating synthetic T1-MRI with CT, prediction performance is substantially enhanced.

Abstract Background: Deletions in MTAP occur in 10-15% of cancers and are associated with poor prognosis. MTAP deletion (MTAPdel) leads to accumulation of MTA which causes partial inhibition of PRMT5, creating a synthetic lethality approach with PRMT5 inhibitors. Multiple investigational MTA-cooperative PRMT5 inhibitors have demonstrated early clinical efficacy in MTAPdel NSCLC and other cancers. MTAPdel, PRMT5 expression, and clinical outcomes to standard of care immune checkpoint inhibitors (ICI) and chemotherapy (chemo) have not been well characterized. Methods: The Tempus Lens Platform (Tempus AI, Inc., Chicago, IL) was used to query the Tempus multimodal de-identified database and establish and subsequently analyze a cohort of patients (pts)with NSCLC and DNA (Tempus xT) and RNA (Tempus xR) testing, treated with front-line (1L) ICI with or without chemo (N=3,676). PRMT5 expression was normalized as transcripts per million (TPM) and reported as log2(TPM + 1). Pts were classified into high vs low groups based on median PRMT5 expression and into MTAPdel vs intact (MTAPwt) based on MTAP biallelic loss. Immune infiltration was estimated using Quantiseq. Real-world overall survival (rwOS) was defined as the time from 1L start to death or last known follow-up. Real-world progression-free survival (rwPFS) was defined as the time from 1L start to death, progression or last known follow-up. Hazard ratios (HR) were calculated using Cox proportional hazards models and adjusted for age, sex, histology, smoking status and PDL1 status. Results: PRMT5 expression was moderately increased in pts with MTAPdel (6.65 v 6.70, p=0.012). Alterations in MYC, SMARCA4 and KEAP1 were enriched in PRMT5-high tumors in both MTAPdel and MTAPwt pts (p<0.03). Pts with PRMT5-high tumors had decreased infiltrate of multiple immune cells, including B cells, macrophages (M1 and M2), NK cells, CD4 and CD8 T cells (p<0.001). Pts with MTAPdel/PRMT5-high expression had shorter rwOS compared to MTAPwt/PRMT5-low when treated with ICI alone (HR 1.58, 95% CI 1.11-2.24, p=0.011) or with ICI + chemo (HR 1.65, 95% CI 1.34-2.03, p<0.001). These associations persisted on multivariate analysis. Pts with MTAPdel/PRMT5-high expression were also associated with worse rwPFS when treated with ICI + chemo (HR 1.5, 95% CI 1.22-1.86, p<0.001) on univariate and multivariate analysis, but did not associate with rwPFS in pts treated with ICI alone (HR=0.97, 95% CI 0.66-1.42, p=0.9). Conclusion: PRMT5 expression defines an immune suppressed subpopulation of pts with NSCLC. Pts with elevated PRMT5 expression and MTAPdel have poor outcomes with ICI+/- chemo, indicating PRMT5 RNA expression levels can be used to inform clinical trial designs, particularly those that are testing novel combinatorial strategies. Citation Format: Natalie Vokes, Stamatina Fragkogianni, Pooja A. Shah, Santiago G. Trevino, Konstantinos Leventakos, Lei Deng, Matthew Lee, Tali Azenkot, KAYLA LAYNG, JACOB MERCER, Jyoti Patel, Jordi Rodon Ahnert. High PRMT5 expression is associated with decreased immune infiltrate and worse outcomes to immune checkpoint inhibitors in non-small cell 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 2446.

Abstract Background: The Alaska Tribal Health System is working to increase colorectal cancer (CRC) screening among Alaska Native peoples. It is unknown why people who initially agree to screening might not follow through to complete their screening. Methods: As part of a larger intervention investigating multi-target stool DNA (mt-sDNA) test use in rural Alaska communities, we interviewed Alaska Native people who had agreed to scheduling a colonoscopy or having a mt-sDNA kit sent to their home but who did not complete their selected test. Results: Of 531 Alaska Native people who initially agreed but did not complete screening, 299 (56%) were able to be contacted for a follow-up survey. Of those, 256 (86%) answered the survey; 187/224 (83%) who had chosen mt-sDNA, and 69/75 (93%) who had chosen colonoscopy. Reported reasons for non-completion of stool DNA test kits included being busy or forgetting, being uncomfortable doing a stool test, and not knowing how to do the test or concerns over how to return the kit for processing. Reasons for non-completion of colonoscopy included scheduling issues, physical health issues, travel, and housing barriers, as well as cost, fear, and being too busy. Of note, many respondents in both groups indicated they would still be interested in CRC screening in the future or were currently pursuing screening. Conclusions: This was the first exploration of reasons for non-adherence to CRC screening after initial test request by Alaska Native people. Many of the identified themes are amenable to health care system changes for future interventions to improve screening outreach and uptake. Citation Format: Diana Redwood, Christie A. Flanagan, Lauren Jeffries, Melissa Toffolon, Joseph Klejka, Lila J. Finney Rutten, Judith S. Kaur, John B. Kisiel. Non-completion of colorectal cancer screening among Alaska Native people in an intervention trial [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 2474.

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) remains highly lethal due to aggressive biology, stromal desmoplasia, and profound immunotherapy resistance. Tumor Treating Fields (TTFields) disrupt mitosis and induce immunogenic cell death (ICD), type I interferon signaling, and microenvironment remodeling, providing a rationale for combining TTFields with immune checkpoint inhibition. This is the first systematic review to comprehensively synthesize mechanistic and clinical evidence for TTFields immunotherapy combinations across solid tumors, with emphasis on their translation relevance to PDAC. Methods: A systematic search of PubMed, Scopus, Web of Science, Embase, Cochrane Library, and ClinicalTrials.gov was conducted through October 26, 2025, following PRISMA 2020 guidelines. Eligible studies evaluated TTFields combined with immunotherapy. Two reviewers independently screened and extracted data using Covidence. Evidence was summarized narratively by tumor type, study design, and immunotherapeutic approach. Results: Thirty-seven studies met criteria, including preclinical and clinical investigations across glioblastoma, NSCLC, mesothelioma, PDAC, and other tumors. Preclinical models consistently showed that TTFields trigger ICD hallmarks such as calreticulin exposure, HMGB1 and ATP release, and activate STING/type I interferon pathways, enhancing dendritic-cell maturation and T-cell and NK-cell function. Across in vivo models, TTFields combined with PD-1 or CTLA-4 blockade, vaccines, or other immunotherapies reduced tumor growth and increased lymphocyte infiltration. Clinical evidence, although early-phase and heterogeneous, indicates the combination is feasible, with toxicity dominated by low-grade skin reactions and no excess immune-related adverse events. In glioblastoma, adding TTFields to pembrolizumab and temozolomide showed numerically improved survival. The LUNAR phase 3 trial in metastatic NSCLC demonstrated an overall survival advantage when TTFields were added to systemic therapy, including immunotherapy. Evidence in PDAC remains preliminary, but the ongoing PANOVA-4 study combining TTFields with atezolizumab and chemotherapy highlights emerging translational relevance. Conclusions: TTFields enhance antitumor immunity when combined with immunotherapy across solid tumors. In PDAC, these mechanisms may help counteract the immunosuppressive microenvironment. Ongoing gastrointestinal trials will clarify optimal combinations, biomarkers of response, and the clinical role of TTFields-based immunomodulation. Citation Format: Douaa Albelal, Hari Krishnareddy Rachamala, Hani Babiker. Synergistic immunomodulation by Tumor Treating Fields combined with immunotherapy across solid tumors: A systematic review with translational relevance to pancreatic ductal adenocarcinoma [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 3813.

Abstract Medical advancements with immunotherapy have cured some patients with previously incurable metastatic renal cancer. We present the case of a 74-year-old male metastatic renal cancer patient who received only one dose of the combination of ipilimumab with nivolumab. In response to his treatment, he developed autoimmune hepatitis, myasthenia, myositis, and myocarditis. Although these serious side effects are considered to rarely occur, they can quickly become life-threatening and even fatal. These immune-related adverse events (irAEs) may further develop into secondary life-threatening symptoms such as respiratory failure due to advanced myasthenia; cardiotoxicity of myocarditis with possible cardiogenic shock, cardiac arrest, and severe heart failure; and liver failure consequently from autoimmune hepatitis. Furthermore, the ability for physicians to detect immunotherapy toxicity early is extremely important in intervening in a timely manner to avoid lethal conditions for the patient. With patients receiving immunotherapy, communication, collaboration, and multidisciplinary care are essential. Any subtle or sudden changes in their health status or symptoms should prompt further investigation. It is our purpose to highlight this patient to raise awareness of toxicity to significantly reduce the fatality rates and increase the therapy’s success rate in the years to come. Citation Format: Orianna Guarisma-Lugo, Roderick Brice, Samuel Ramirez, Winston W. Tan. The unique presentation of four immunotherapy toxicities in a single patient [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 3803.

Abstract Background: The BRAF(V600E) mutation in colorectal cancer (CRC) is associated with treatment resistance and a poor prognosis. CDK2/9 is frequently activated in human cancers, and we have previously shown that BRAFV600E can upregulate MCL-1, which can be suppressed by the selective CDK2/9 inhibitor fadraciclib. Herein, we determined whether targeting CDK2/9 by fadraciclib can be enhanced by concurrent Bcl-2/Bcl-xL inhibition using LP-118, which minimizes platelet toxicity in patients, compared to the Bcl-2 inhibitor venetoclax. Effects of the drugs on apoptosis, colony formation and tumor growth were studied in a zebrafish model. Methods: We utilized isogenic human RKO (BRAFV600E/V600E/WT) and T29 (BRAFWT/−/−) CRC cell lines in addition to HCT-116 (BRAFWT) and Bax knockout (HCT-116Bax-/-) CRC cells. Cells were treated for 24h with fadraciclib (500nM) plus encorafenib (500nM) in the presence or absence of LP-118 (1µM) or venetoclax (1µM). Apoptosis and cell growth inhibition were assessed using annexin V/PI staining and colony formation assays, respectively. Expression of MCL-1, Bcl-xL, Bcl-2, PARP, and cleaved caspase-3 (Asp175) proteins was analyzed. In a zebrafish tumor xenograft model, the effects of the drugs on caspase-3 cleavage and tumor growth were then evaluated. Results: Fadraciclib suppressed MCL-1 expression, induced apoptosis and significantly inhibited colony formation in all CRC cell lines. However, this effect was enhanced by encorafenib only in RKO (BRAFV600E/V600E/WT) cells. The addition of LP-118 to fadraciclib plus encorafenib potently enhanced apoptosis induction, shown by annexin V and cleavage of PARP, caspase-3, in RKO and HCT-116 cell lines, which was synergistic and Bax dependent. Treatment with LP-118 combined with fadraciclib and encorafenib suppressed both Bcl-xL and MCL-1 expression in RKO cells. The addition of LP-118 to fadraciclib plus encorafenib enhanced apoptosis (annexin V) to a greater extent than did venetoclax. In a zebrafish tumor xenograft model, the addition of LP-118 to fadraciclib plus encorafenib significantly enhanced caspase-3 activation and reduced the tumor xenograft size. Conclusion: LP-118 synergistically enhanced the antitumor activity of fadraciclib plus encorafenib in BRAFV600E human CRC cells, and to a greater extent than did venetoclax. Mechanistically, targeting Bcl-2/Bcl-xL concurrent with inhibition of MCL-1 and CDK2/9 by fadraciclib potently induced apoptosis and suppressed tumor cell growth. These findings suggest a novel and effective therapeutic strategy for BRAFV600E human CRCs. Citation Format: Md Mohiuddin, Vanda Póvoa, Beatriz Sebo, Rita Fior, Frank A. Sinicrope. Novel Bcl-2/Bcl-xL inhibitor, LP-118, enhances apoptosis induction by the CDK2/9 inhibitor, fadraciclib, in BRAF(V600E) human colorectal cancer cells [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 4658.