Citations

Abstract Circulating tumor cells (CTCs) are cancer cells that detach from tumors, enter the blood and seed distant sites. CTCs spread as single cells, or cluster aggregates, and can be heterogenous with differing biological phenotypes, i.e. epithelial, mesenchymal, progenitor, & stem cell. Three clinically relevant CTC subtypes are often described in patients (pts) 1) CTCs with normal epithelial traits (strong filamentous cytokeratin (CK+ & CD45-/CD14-), 2) Epithelial-mesenchymal CTCs (EMTs), cancer cells with downregulated epithelial & upregulated mesenchymal traits (low diffused CK+, CD45-/CD14-) and 3) tumor-macrophage fusion cells (TMFCs), cancer cells that fuse with macrophages (polynucleated DAPI+, diffuse CK+ and CD14+/CD45+). To better elucidate the biological and clinical importance of the 3 CTC subtypes, we isolated CTCs by a marker agnostic method from the blood of n=49 metastatic cancer pts. We then enumerated and phenotypically subtyped CTCs comparing clinical utility of clustering and CTC heterogeneity over 2 years. Peripheral blood samples were collected from 49 metastatic cancer pts, breast (n=38), pancreatic (n=9), colon (n=3), lung (n=1), and prostate (n=1). Whole blood (7.5mL) was filtered by size exclusion using CellSieve microfilters and fluorescently stained for CD45, CD14, CK, and DAPI to identify CTCs, EMTs and TMFCs. Cells were imaged, enumerated and fluors quenched by the QUAS-R technique; followed by re-stained for CD44, CD24, CD133, CD144, N-Cadherin, EpCAM, and Vimentin. Markers were categorized as negative, low, medium, or high. A heterogeneity biomarker score was developed as high, 2-3 log deviations between marker expression, or low 0-1. Pt progressive free survival (PFS) and overall survival (OS) were analyzed over 2 years. CTCs were found in 40% of pts, EMTs in 51%, & TMFCs in ∼93%. For subtyping, CD44 was in CTCs 88%, EMTs 59%, & TMFCs 91%; CD24 in CTCs 40%, EMTs 41%, & TMFCs 6%; CD133 in CTCs 100%, EMTs 8%, & TMFCs 100%; CD144 in CTCs 100%, EMTs 77%, & TMFCs 82%; N-cadherin in CTCs 100%, EMTs 0%, & TMFCs 45%; Vimentin in CTCs 51%, EMTs 100%, & TMFCs 83%; EpCAM in CTCs 74%, EMTs 12%, & TMFCs 20%. CTCs and EMTs were found to have high heterogeneity in 30% of samples in both individual cells and clusters, with a high biomarker heterogeneity significantly correlated with poorer outcomes (PFS: HR=15.4, p=0.0014, CI=3.4-68.9; OS: HR=12.4, p=0.0056, CI=2.6-59.1). TMFCs were found to have high heterogeneity, 40% of samples, but this was not correlated with outcomes. In this pilot study, it appeared that isolated CTC, EMTs and TMFCs subtypes have differing heterogenous expressions of epithelial, mesenchymal, progenitor, and stem cell markers. Further, high rates biomarker heterogeneity in CTCs and EMTs, but not TMFCs, correlated with faster rates of progression & death. Larger validation experiments with biomarker stratification is ongoing. Citation Format: Alexis B. Duffy, Massimo Cristofanilli, Carolina Reduzzi, Cha-Mei Tang, Saranya Chumsri, Susan Tsai, Mohammed Aldakkak, Daniel L. Adams. Heterogeneity of epithelial, mesenchymal, progenitor, and stem cell phenotypes on CTCs correlates to clinical outcomes in metastatic cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1989.

Abstract Tumor associated macrophages are known to fuse with cancer cells resulting in the formation of a cellular phenomenon called tumor-macrophage fusion cells (TMFCs). TMFCs are a highly aggressive cell subtype that may move into circulation, evade immune surveillance, and possibly aid in seeding of metastatic sites. The formation of TMFCs involves CD47, a ubiquitous surface receptor that acts as a “don’t eat me” signal, interacting with the macrophage protein SIRPa, a down regulator of phagocytosis, and syncytin-1, a mediator of hyperploidy cancer fusion. In this analysis, we isolated circulating TMFCs from the blood of n=39 metastatic cancer patients (pts) to evaluate the expressions of CD47, SIRPa and syncytin-1 as it relates to stable or progressive disease via 30 day imaging by PET scan. We conducted a prospective pilot study of n=39 pts with pathologically confirmed metastatic breast (n=17), prostate (n=7), pancreas (n=7), or colon (n=8) cancer receiving standard of care systemic therapy. We isolated TMFCs from 7.5ml peripheral blood using a CellSieve microfilter, and stained with CD47, SIRPa, & syncytin-1. TMFCs were identified based on large cell size (>30 µm) & multinucleated structure, and were categorized into 4 distinct subtypes: A) >2 distinct non-contacting nuclei within a TMFC, B) 2 distinct non-contacting nuclei, C) 2 contacting nuclei, D) a single multinucleated nuclei. CD47, SIRPa, and syncytin-1 expressions were categorized as negative, low, or high. TMFCs subtypes and marker expressions were compared to pts’ clinical status (i.e. progressive, stable or responding) at first available PET/CT scans after blood draw (∼45 days). TMFCs were identified in 72% of pts (n=28/39), average 8 cells/sample, and ranged 1-77 cells. Of the TMFCs, 12% were subtype A, 11% as B, 11% as C, and 66% as D. CD47 expression was seen in 100% of TMFs, with low expression in 39% of subtype A cells, 58% subtype B, 39% subtype C, & 62% subtype D. Notably, CD47 was significantly lower (p=0.010) in subtype B than other groups. Further, the expression of syncytin-1 in subtype B cells was significantly lower (p=0.02) than in other subtypes, and subtype D cells had 75% higher syncytin-1 localized to the nuclear regions. No correlations were found in the SIRPa expression and subtypes. Interestingly, progressing pts had 200% more TMFCs, more subtype B (83%), and significantly lower (p<0.001) CD47 expressing TMFCs than non-progressing pts. In this pilot study on the expression profiles of circulating TMFCs, it appears that specific subtypes of TMFC with low CD47 expression may be associated with progressive disease. Interestingly, this contrasts existing studies on primary tumors which often correlate higher CD47 with more aggressive cancers. This finding suggests that low CD47 cancer cells circulate blood in some pts with progressing disease and may be pertinent to efforts targeting CD47 in cancer. Citation Format: Sonia Muthuraj, Massimo Cristofanilli, Saranya Chumsri, Susan Tsai, Raymond C. Bergan, Cha-Mei Tang, Daniel L. Adams. Low CD47 expression in specific populations of tumor macrophage fusion cells in blood correlates with progressive disease in metastatic cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1979.

Diffuse large B cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, and the activated B cell–like subtype (ABC-DLBCL) is associated with particularly poor outcome. Many ABC-DLBCLs harbor gain-of-function mutations that cause inappropriate assembly of the CARMA1-BCL10-MALT1 (CBM) signalosome, a cytoplasmic complex that drives downstream NF-κB signaling. MALT1 is the effector protein of the CBM signalosome such that its recruitment to the signalosome via interaction with BCL10 allows it to exert both protease and scaffolding activities that together synergize in driving NF-κB. Here, we demonstrate that a molecular groove located between two adjacent immunoglobulin-like domains within MALT1 represents a binding pocket for BCL10. Leveraging this discovery, we performed an in silico screen to identify small molecules that dock within this MALT1 groove and act as BCL10-MALT1 protein-protein interaction (PPI) inhibitors. We report the identification of M1i-124 as a first-in-class compound that blocks BCL10-MALT1 interaction, abrogates MALT1 scaffolding and protease activities, promotes degradation of BCL10 and MALT1 proteins, and specifically targets ABC-DLBCLs characterized by dysregulated MALT1. Our findings demonstrate that small-molecule inhibitors of BCL10-MALT1 interaction can function as potent agents to block MALT1 signaling in selected lymphomas, and provide a road map for clinical development of a new class of precision-medicine therapeutics.

ABSTRACTBackgroundWe investigated mental health diagnoses (MHDs) in mycosis fungoides (MF) patients compared to the general population, evaluated risk factors, and studied survival outcomes in a large population database.MethodsMF patients from the Utah Cancer Registry diagnosed from 2001 to 2014 were matched with up to five general population individuals from the Utah Population Database. MHDs were retrospectively tracked in both populations (median follow‐up = 6.67 years). Risk factors for new MHDs among MF patients were studied using the Cox proportional hazards model. Overall survival (OS) and disease‐specific survival (DSS) were assessed using Kaplan–Meier analysis.ResultsThe incidence of anxiety disorders (HR = 1.99, 95% CI [1.16, 3.42]) and delirium/dementia disorders (HR = 2.43, 95% CI [1.05, 5.63]) was higher among MF patients than the matched general population. Among MF patients, Charlson Comorbidity Index (CCI) ≥ 2 and BMI < 18 kg/m2 were risk factors for new anxiety disorders. Radiation therapy, CCI ≥ 2, and female gender were risk factors for new delirium/dementia disorders. The 15‐year OS was worse for MF patients with versus without an MHD (36% vs. 81%, HR 2.62, 95%CI [1.24, 5.65]). The 15‐year DSS also worsened for MF patients with versus without an MHD (63% vs. 97%, HR 6.55, 95%CI [1.64, 26.2]).ConclusionsMF patients developed anxiety and delirium/dementia disorders at rates above the general population, and MHDs correlated with worse DSS and OS. Careful mental health monitoring may be an actionable step towards improving health‐related quality of life in this population.

Background: Unmet social needs may hinder health care providers’ ability to deliver suitable care. Telehealth has emerged as a mechanism to broaden care reach; however, limited studies have examined the relationships between telehealth services and social need outcomes. This study explores the impact of telehealth services, encompassing (1) telestroke, (2) telepsychiatry and addiction treatment, (3) teleconsultation and office visits,(4) tele-intensive care units, (5) telemonitoring postdischarge, (6) ongoing chronic care management, and (7) other remote monitoring, on social need performance outcomes. Methods: The 2022 American Hospital Association annual survey and the Area Health Resource Files, which include comprehensive hospital and community indicators, were utilized. A mixed-effects logistic regression was applied, analyzing 1,005 acute care general hospitals. Results: The results revealed that patients who received telemonitoring services after discharge were 1.72 (95% confidence interval [CI]: 1.03-2.88) times more likely to achieve better health outcomes compared with those who did not receive such services. These patients also experienced a significant decrease in the likelihood of requiring additional hospital or system services, with an odds ratio of 2.39 (95% CI: 1.32-4.00). Additionally, patients utilizing telepsychiatry and addiction treatment services had 1.66 times higher odds of reporting improved community health status (95% CI: 1.22-2.27). Lastly, patients who used teleconsultation and office visit services had 38% lower odds of experiencing poor community health status (95% CI: 0.40-0.95). Discussion: The findings highlight the potential of targeted telehealth services to positively impact health outcomes, reduce health care costs, and improve community health status.

ABSTRACTBackgroundThe factors contributing to sustained ventricular arrhythmias (VAs) >30 days after left ventricular assist device (LVAD) implantation are not well‐established.ObjectivesThis study aimed to predict the factors associated with late sustained VAs after LVAD implantation and develop a predictive score to identify patients with an increased risk of late sustained VAs after the procedure.MethodsWe performed a retrospective cohort study on a training cohort of 623 patients and a validation cohort of 157 patients who underwent LVAD implantation at the Mayo Clinic (Rochester, Phoenix, and Jacksonville) from January 1, 2000, to December 30, 2020. Late sustained VAs were defined as ventricular tachycardia (VT) and ventricular fibrillation (VF) occurring >30 days after the LVAD procedure. Detailed chart reviews of the electronic health records within the Mayo Clinic and outside medical records were performed.ResultsA total of 780 patients were included in our study. Late sustained VAs occurred in 30% (n = 232) of the patients. The significant factors associated with late sustained VAs after LVAD were the history of VAs prior to LVAD (34.1% vs. 23.0%, p < 0.01), implantable cardiac defibrillator (ICD) (87.9% vs. 77.6%, p < 0.01) or cardiac resynchronization therapy (CRT) in situ (43.5% vs. 33.6%, p = 0.008), VT ablation prior to LVAD (5.2% vs. 1.8%, p = 0.010), use of amiodarone (49.1% vs. 38.7%, p = 0.007), use of mexiletine (15.5% vs. 5.7%, p < 0.01), and higher left ventricular end‐diastolic diameter (LVEDD) on echocardiography prior to LVAD implantation (71.4 vs. 68.7 mm, p = 0.002). During follow‐up, the patients who developed late sustained VAs after LVAD had lower survival than those who did not (HR = 1.96, 95% CI:156–2.4, p < 0.001). The average time from LVAD to orthotopic heart transplant was longer among late sustained VAs patients (23 vs. 14 months, p < 0.01). The “VIN” risk score was created to identify four risk groups: low (scores 0), intermediate (score 1), high (score 2), and very high (score 3). The rates of late VA's in the training cohort at 1 year were 9.5%, 14%, 18%, and 25% which was almost similar to the risk of late VA's at validation cohort 10%, 12%, 20%, and 63%, respectively.ConclusionsLate sustained VAs occurred in 30% of the patients who received LVAD and were associated with lower survival. The VIN risk score was developed and validated to stratify patients into low, intermediate, high, and very high risk of late sustained VAs.

Importance Obesity is a risk factor associated with multiple myeloma (MM) and its precursor, monoclonal gammopathy of unknown significance (MGUS). However, it is unclear how cumulative exposure to obesity affects the risk of MGUS progression to MM. Objective To determine the association of cumulative exposure to excess body mass index (EBMI), defined as BMI (calculated as weight in kilograms divided by height in meters squared) greater than 25, with risk of MGUS progression to MM. Design, Setting, and Participants This cohort study included patients with MGUS, including immunoglobin G, immunoglobin A, or light chain MGUS, from the nationwide US Veterans Health Administration database from October 1, 1999, to December 31, 2021. A published natural language processing–assisted model was used to confirm diagnoses of MGUS and progression to MM. Data were analyzed from February 12 to November 4, 2024. Exposures Cumulative EBMI was calculated by area under the curve of measured BMI subtracting the reference BMI at 25 during the first 3 years after MGUS diagnosis. Main Outcomes and Measures The main outcome was progression from MGUS to MM. Multivariable Fine-Gray time-to-competing-event analyses, with death as the competing event, were used to determine associations. Results The cohort included 22 429 patients with MGUS (median [IQR] age, 70.5 [63.5-77.9] years; 21 613 [96.4%] male), with 8329 Black patients (37.1%) and 14 100 White patients (62.9%). There were 4862 patients (21.7%) with reference range BMI (18.5 to &amp;lt;25), 7619 patients (34.0%) with BMI 25 to less than 30, and 8513 patients (38.0%) with BMI 30 or greater at the time of MGUS diagnosis. Compared with reference range BMI at MGUS diagnosis, patients with BMI 25 to less than 30 (adjusted hazard ratio [aHR], 1.17; 95% CI, 1.03-1.34) or 30 or greater (aHR, 1.27; 95% CI, 1.09-1.47) at MGUS diagnosis had higher risk of progression to MM. In patients with reference range BMI at MGUS diagnosis, each 1-unit increase of EBMI per year was associated with a 21% increase in progression risk (aHR, 1.21; 95% CI, 1.04-1.40). However, for patients with BMI 25 or greater at MGUS diagnosis, the incremental risk associated with cumulative EBMI exposure was not statistically significant. Conclusions and Relevance This cohort study found that, for patients with BMI 18.5 to less than 25 at the time of MGUS diagnosis, cumulative exposure to BMI 25 or greater was associated with an increased risk of progression. These findings suggest that for these patients, maintaining a healthy and stable weight following MGUS diagnosis may prevent progression to MM.