Abstract Peritoneal Carcinomatosis (PC) is a metastatic cancer of the lining of the abdominal cavity, most often originating from the gastrointestinal or gynecological tracts. PC occurs in approximately 20% of colorectal cancer and 60% of ovarian cancer cases, with estimated 5-year survival rates as low as 6%. Pressurized intraperitoneal aerosolized chemotherapy (PIPAC) is a locoregional drug delivery modality administered via a minimally invasive laparoscopic approach. PIPAC shows promise in the treatment of peritoneal metastasis in early trials on colorectal cancer (CRC) or appendiceal cancer (AC) in patients who cannot undergo cytoreductive surgery. The spatial organization of the tumor microenvironment (TME) and the complex cellular interactions within profoundly shape biology and treatment response. Spatial transcriptomics offers an opportunity to characterize TME heterogeneity in its native architecture, allowing the identification of biomarkers, interactions, and gene expression programs as well as resistance mechanisms and new potential targets. We performed image-based spatial transcriptomic profiling of 152 tissue samples, including 50 pre-treatment and 65 post-treatment metastatic tumors and 17 pre-treatment and 20 post-treatment tumor-adjacent normal tissue samples from 19 patients who participated in a Phase I trial on Oxaliplatin PIPAC. Through a comprehensive characterization of transcriptional profiles of a total of 1,249,711 cells, as well as cellular neighborhood and ligand-receptor interactions, we describe the heterogeneity of PC in its spatial context. We have further characterized treatment-driven changes in pre- and post-treatment tumors of a subset of 7 patients who underwent PIPAC with mitomycin IP. Through cell-based niche and proximity analyses, we identify distinct shifts in the composition and architecture of treated tumors. Most notably, treatment resulted in an 87% decrease in the number of malignant cells, as well as an expansion of the plasma-barrier niche and an increased number of immune infiltrates. Further analysis revealed distinct differences in the abundance of specific cancer-associated fibroblast and immune subsets, demonstrating changes in TME architecture. Overall, our results provide an invaluable characterization of PC in CRC and AC, garnering new insight into their architecture, cellular composition, and cell-cell interactions at baseline and in response to regional chemotherapy. Further analyses and follow-up studies can identify and validate new, actionable biomarkers to target these hard-to-treat tumors. Citation Format: Heini Maaret Natri, Arianna L. Williams-Katek, Muhammad Talha Waheed, Tiana Li, Marwan Fakih, Mingye Feng, Amit Merchea, Sue Chang, Richard L. Whelan, Danielle Deperalta, Thanh H. Dellinger, Nicholas Banovich, Mustafa Raoof. Spatial transcriptomic profiling of peritoneal metastases identifies multicellular programs in patient tumors undergoing pressurized intraperitoneal aerosol chemotherapy (PIPAC) [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 3958.
1489: INFECTIOUS COMPLICATIONS IN PATIENTS ADMITTED TO THE ICU AFTER CAR T-CELL THERAPY
Establishes a robust long-term human adipocyte organoid culture system maintained for over 90 days. Recapitulates key features of OSA-related intermittent hypoxia in human adipocytes in vitro. Demonstrates IH-induced adipocyte aging, including ultrastructural damage and epigenetic reprogramming. Identifies impaired adipogenesis and insulin signaling under intermittent hypoxia. Provides a physiologically relevant platform for mechanistic studies and drug screening.
Abstract GPNMB (Glycoprotein non-metastatic melanoma protein B) is a canonical transcriptional target of MiT/TFE proteins (TFEB/TFE3/MITF), expressed at low levels in normal tissues but upregulated in numerous MiT/TFE-driven tumors such as translocation RCC, alveolar soft part sarcoma and MITF-driven melanoma, where it is associated with poor prognosis. CDX-011 (CR011-MMAE) is an anti-GPNMB ADC, with demonstrated efficacy in pre-clinical models of TFE3-fusion RCC. To further characterize GPNMB functionality and value as a cell-surface therapeutic target in tRCC, we engineered cell lines with genomic deletion of GPNMB via CRSIPR-Cas9 editing. Deletion of GPNMB in PRCC-TFE3 cell lines [UOK120/UOK124] significantly decreased clonogenic growth in 2D, spheroid size and viability and tumor xenograft growth in NSG mice and was associated with a decrease in phosphorylation of mTORC1 substrates [p-P70S6K, p-4EBP1]. We then examined expression of CD44, the primary receptor for GPNMB, and a tumor-associated antigen associated with poor prognosis in many cancers. Expression of CD44 and its ligand SPP1/OPN, was significantly increased in bulk RNA-Seq data from multiple transgenic models of SFPQ-TFE3, PRCC-TFE3 and ASPSCR1-TFE3, in human tRCC cases compared to normal kidney, and in SFPQ-TFE3/ PRCC-TFE3 transgenic kidney tumors and an ASPSCR-TFE3 PDX model, by immunoblotting and IHC, with increased membrane localization. shRNA-mediated depletion of CD44 profoundly and specifically decreased clonogenicity of multiple TFE3-fusion lines, with no effect seen in ccRCC lines. In conclusion, GPNMB regulates the growth of tRCC cells, potentially via an autocrine mechanism involving its receptor CD44, and targeting GPNMB-CD44 signaling may be of therapeutic benefit in tRCC. Citation Format: Kaushal Asrani, Juhyung Woo, Kewen Feng, Thiago Vidotto, Adrianna Amaral, Vikrant Palande, Jayaprakash Mandal, Eddie Imada, Christopher Thoburn, Sangeeta Ray, Huili Li, Yasser Ged, Nirmish Singla, John A. Copland, Laura Schmidt, W. Marston Linehan, Pedram Argani, Tamara Lotan. GPNMB:CD44 signaling drives tumor progression in translocation renal cell carcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Kidney Cancer Research: From Molecular Insights to Therapeutic Breakthroughs; 2026 Mar 13-16; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2026;86(5_Suppl_2):Abstract nr B014.
PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning
Abstract Background: Hemorrhagic necrotizing pancreatitis (HNP) is a highly lethal form of pancreatitis that lacks mechanism-based therapy. Intra-acinar enzyme activation is fundamental to pancreatitis initiation, yet it does not explain why only a subset of episodes progress to catastrophic hemorrhagic necrosis. Objective: To identify determinants of progression to lethal HNP and test a mechanism-based preventive intervention. Design: Using humanized trypsinogen mouse models and secretagogue regimens, we compared high-dose cerulein with low/moderate-dose cerulein and bombesin. We quantified pancreatic protease activity, performed blinded histopathologic scoring, assessed hemorrhage/vascular disruption, and evaluated enzyme localization and ductal injury by PRSS1 immunostaining. De-identified human pancreatic histology from HNP were examined. We tested a repurposed strategy using clinically approved agents for other indications: secretin to stimulate ductal fluid secretion and isosorbide mononitrate (ISMN) to promote ductal outflow via sphincter of Oddi relaxation. Results: High-dose cerulein induced robust intrapancreatic protease activation but predominantly caused edematous pancreatitis. Paradoxically, bombesin and low/moderate-dose cerulein elicited lower total pancreatic protease activity yet produced severe, frequently lethal HNP with vascular disruption and lobular ischemic necrosis. HNP was associated with intraductal enzyme accumulation and ductal injury. Secretin or ISMN alone showed limited protection, whereas combined secretin+ISMN prevented hemorrhagic necrotizing injury. Conclusion: Pancreatitis severity is determined not only by the magnitude of enzyme activation but also by where enzyme activity is exerted, implicating intraductal enzyme accumulation as a mechanistic determinant and therapeutic target in HNP. Coordinated enhancement of ductal secretion and outflow with clinically approved agents prevents HNP in vivo, supporting a translatable prevention strategy.
Abstract Metabolic reprogramming is a fundamental determinant of immune cell fate and effector function during inflammation, yet how distinct metabolic pathways regulate pathogenic lung macrophage activity and contribute to fibrotic remodeling remains incompletely understood. Here, we integrated single-cell RNA sequencing, lineage-specific genetic mouse models, and fate-mapping approaches to define the metabolic pathways that regulate the pro-fibrotic activity of lung macrophages. We found that such cells undergo pronounced aerobic glycolysis in the bleomycin-induced mouse model of pulmonary fibrosis. Myeloid cell-specific depletion of lactate dehydrogenase A (Ldha), but not of mitochondrial pyruvate carrier (Mpc), markedly attenuated lung fibrosis and improved survival. Mechanistically, enhanced glycolytic flux increased lactate production, which promoted histone lysine lactylation and facilitated Arginase 1 (Arg1) expression in lung macrophages, thereby driving fibrotic progression. Using monocyte fate-mapping, we further demonstrated that Arg1 expression is largely restricted to recruited monocyte-derived macrophages rather than lung-resident macrophages. Notably, selective deletion of Ldha in granulocyte-monocyte progenitors and their progeny was sufficient to suppress Arg1 expression and reduce fibrosis severity. In human lung samples, we observed significantly elevated expression of ARG1 and key glycolytic enzymes in patients with idiopathic pulmonary fibrosis, despite species-specific differences in the immune cell types expressing ARG1. Together, these findings identify an aerobic glycolysis–lactate–histone lactylation axis that regulates pro-fibrotic myeloid cell function and represents a potential therapeutic target in pulmonary fibrosis.
Validation of longitudinal biomarker screening algorithms for HCC detection in patients with cirrhosis
Background: Blood-based biomarker panels, including GALAD, have been proposed as an alternative to abdominal ultrasound for hepatocellular carcinoma (HCC) surveillance. Studies suggest longitudinal evaluation of biomarkers can improve test performance; however, no large studies have validated these findings. Methods: We leveraged the HCC Early Detection Strategy (HEDS) study (n=1019 patients with cirrhosis; 99 incident HCC) and Texas HCC Consortium (THCCC) (n=2345 patients with cirrhosis; 126 incident HCC) to compare the performance of fixed-threshold GALAD (cutoff of −1.36), and 4 longitudinal algorithms: longitudinal GALAD, PALAD, mFB-ALAD, and mPEB-ALAD. The HEDS cohort was used to derive longitudinal algorithms, and external validation was performed in THCCC. Patient-level sensitivity and test-level false-positive rate (FPR) were examined overall and across subgroups by age, sex, and cirrhosis etiology. Results: In THCCC, fixed-threshold GALAD had higher sensitivity in the 6 months before HCC diagnosis (71.4%, 95% CI: 62.9%–81.7%) than longitudinal GALAD (55.1%, 95% CI: 49.3–66.4), PALAD (55.1%, 95% CI: 50.0%–70.5%), mPEB-ALAD (53.1%, 95% CI: 43.6%–62.0%), and mFB-ALAD (42.9%, 95% CI: 32.3–48.5). However, fixed-threshold GALAD had a higher FPR (25.4%, 95% CI: 23.7%–26.9%) compared with longitudinal GALAD (15.0%, 95% CI: 12.8%–15.8%), PALAD (13.0%, 95% CI: 10.2%–14.6%), and mFB-ALAD (11.2%, 95% CI: 9.6%–12.1%) but comparable to mPEB-ALAD (22.9%, 95% CI: 21.2%–23.8%). In subgroup analyses, fixed-threshold GALAD had the highest FPR in males (35.6%) and those aged ≥65 (43.5%); longitudinal algorithms had significantly lower FPRs in subgroups but with lower sensitivity for HCC. Conclusions: Improvements in FPRs with longitudinal GALAD algorithms, as compared with fixed-threshold GALAD, are offset by significantly decreased sensitivity for HCC detection.
ZFP161 promotes colorectal cancer progression by transcriptionally activating c-MYC
Zinc Finger Protein 161 (ZFP161) is a key regulator of Ataxia Telangiectasia and Rad3-related (ATR) signaling, playing a crucial role in maintaining genomic stability. Human ZFP161 activates c-MYC , whereas its murine ortholog, ZF5, serves as a putative transcriptional repressor of c-MYC . In this study, we identified ZFP161 as a direct regulator of c-MYC. We show that ZFP161 binds to the promoter region of c-MYC , modulating its expression and downstream signaling pathways. Additionally, ZFP161 promotes cell proliferation and tumorigenesis through c-MYC regulation and contributes to the malignant transformation of non-cancerous retinal pigment epithelial (RPE-1) cells. Furthermore, high ZFP161 expression is associated with poor survival in patients with mixed colon adenocarcinoma. These findings suggest that the regulation of c-MYC by ZFP161 may represent a potential therapeutic target in c-MYC -driven cancers.
Transport vehicle–mediated TREM2 PET maps myeloid cells in the glioblastoma microenvironment
Abstract Glioblastomas exhibit low immunogenicity and a highly immunosuppressive tumor microenvironment (TME) mediated by both tumor cells and tumor associated microglia/macrophages (TAMs). However, biomarkers that allow for specific detection, monitoring and therapy response assessment of the TAM phenotype in glioblastoma are still lacking. To address this gap, we characterized the dynamics of TAM clusters in the TME of experimental SB28 glioblastoma using single-cell RNA sequencing, immunofluorescence, and molecular imaging and identified Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) as a dynamic TAM-specific target. Consequently, we investigated a novel 64 Cu-labeled TREM2 radiotracer with a blood-brain barrier transport vehicle for translational mapping of TAMs in the TME of glioblastoma. We found strong and highly myeloid cell-specific PET signals that followed the trajectory of TREM2 gene expression from early- towards late-stage tumors. Transient myeloid cell depletion via CSF1R inhibition showed a reduction of TREM2 PET signals compared to placebo and prolonged survival in SB28 glioblastoma mice, while TREM2 stimulation led to increased TREM2 PET signals. Translation into a pilot cohort of patients with glioblastoma revealed strong TREM2 PET signals predominantly at lesion edges and high heterogeneity across individuals, matching with immunohistochemistry. In summary, TREM2 PET imaging has strong potential as an immune cell-specific biomarker for personalized assessment of the TAM phenotype in the TME of patients with glioblastoma.