Citations

Background. MicroRNAs are small, single-stranded non-coding RNA molecules that play major role in gene regulation. miRNAs have been reported as both tumor suppressive and oncogenic and are promising candidates for cancer prognosis and treatment. miR-494 is known to promote cell migration and invasion in CRC. Our study aimed to further explore the role of miR-494 modulation (inhibition and overexpression) in CRC. Methods. We evaluated the impact of tumor gene expression of MIR494 on outcomes (overall survival: OS; progression-free survival: PFS) in data for 433 metastatic CRC (mCRC) patients (pts) (bevacizumab [bev] (N = 226) vs cetuximab [cet] (N = 207)) enrolled in randomized phase III CALGB/SWOG 80405 trial obtained from Alliance for Clinical Trials in Oncology. RNA extracted from FFPE tumor samples was sequenced using the HiSeq 2500 (Illumina). Gene expression was divided into high, medium and low. Associations were assessed by log-rank test and multivariable Cox proportional hazards regression model. Treatment-gene interactions were analyzed using the likelihood ratio test. CRC cell lines HCT116 and HT29 were transfected with miR-494 inhibitors and mimics for 48 hours and total RNA was collected, followed by RT-qPCR (miR-494 and target genes BMAL1, PAK1, CDH1, CDH2, SNAI1, TWIST) and clonogenic assays. Results. High miR-494 was significantly associated with worse PFS in overall (median survival: high vs low: 9.3 vs 11.3 months, P<0.025) and cet-treated (median survival high vs low: 9.2 vs 9.6 months, P<0.025) mCRC cohorts, while no significance was observed in bev-treated mCRC. Multivariable Cox model showed significant association between high miR-494 and worse PFS and OS in the cet-treated cohort; however, treatment-gene interaction was not statistically significant. Expression analysis revealed miR-494 was significantly reduced and increased following inhibitor and mimic transfection, respectively. Differential gene expression of the target genes analyzed was observed between the miR-494 inhibitor and mimic-treated HCT116 and HT29 samples. In HCT116 cells, inhibition of miR-494 significantly (P < 0.01) reduced expression of PAK1, while increased the expression of CDH1. The number of colonies formed relatively increased after transfection with miR-494 inhibitor compared to miR-494 mimic. Conclusion. Our findings showed that high miR-494 expression correlated with worse PFS overall and in cet-treated mCRC pts. It would be interesting to check for potential associations with EGFR signaling (direct or indirect). Further studies are warranted for efficient targeting and to gain better understanding of the associated signaling involved in miR-494 modulation in CRC. Support: U10CA180821, U10CA180882; U10CA180888 (SWOG): Genentech. https://acknowledgments.alliancefound.org; P30CA014089, UG1CA180830 [HJL]. Clinicaltrials.gov Identifier: NCT00265850 Citation Format: Pooja Mittal, Joshua Millstein, Shivani Soni, Francesca Battaglin, Karam Ashouri, Sandra Algaze, Priya Jayachandran, Yan Yang, Lesly T. Gonzalez, Unnati H. Shah, Wu Zhang, Fang-Shu Ou, Alan P. Venook, Indrakant K. Singh, Heinz J. Lenz. Effect of miR-494 modulation in colorectal cancer (CRC): Clinical outcome, target expression and cell characteristics [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 2787.

Abstract Approximately 80% of breast cancers express estrogen receptor alpha (ERα, ESR1), which drives cancer progression. Despite the array of targeted therapies, ERα+ breast cancer exhibits the highest recurrence and late distant relapse rates among subtypes. (Z)-Endoxifen (ENDX), an active metabolite of tamoxifen, is a potent, orally bioavailable selective estrogen receptor modulator with a favorable safety profile now under development for breast health applications. Its synthesis yields endoxifen-related byproducts that are new chemical entities (NCEs), including AT416E, AT416Z, AT402E and AT402Z. This study compared the anti-estrogenic effects of these compounds to ENDX in ERα+ breast cancer cell lines (MCF7, T47D, UCD12), including those with ESR1 mutations (Y537S, D538G) linked to endocrine resistance. In 2D cultures with estrogen (E2), ENDX and all NCEs showed significant anti-proliferative effects across all lines, achieving 20-90% inhibition at 0.02-5 μM (p<0.0001). ENDX was the most effective in MCF7; ENDX, AT416Z, and AT402Z in T47D; and ENDX, AT416E, and AT416Z in UCD12. Under E2-deficient conditions, all NCEs had lower IC50 values than ENDX in MCF7 cells, while AT416Z and AT402Z outperformed ENDX in UCD12. In T47D D538G mutants, ENDX, AT416E, and AT402Z exhibited the highest potency, while all NCEs showed comparable efficacy in Y537S mutants. In MCF7 cells, ENDX, AT402E, and AT402Z demonstrated similar activity against Y537S mutants, while AT402Z was the most potent in D538G mutants. In 3D cultures at a clinically relevant concentration (∼1 μM), all compounds significantly reduced proliferation (∼75-90%; p<0.0001), with ENDX and AT402Z showing superior potency. AT416E outperformed ENDX in wound-healing assays (p<0.0001). All NCEs induced comparable G1 cell cycle arrest in MCF7 (p<0.0001), while AT402E and AT402Z showed stronger promotion of G1-to-S phase arrest and S/G2/M inhibition compared to ENDX in T47D cells (p<0.05). These NCEs also significantly induced apoptosis in MCF7 cells at 1-5 μM (p<0.0001), with AT416Z, AT402E, and AT402Z surpassing ENDX (p<0.0001). In T47D cells, apoptosis was significantly induced by ENDX, AT416E, and AT416Z (p<0.0001 vs. vehicle), with ENDX showing superior activity. RT-qPCR analysis at 0.1 μM revealed ENDX and AT416Z as the most potent inhibitors of E2-induced ERα target gene expression in MCF7 cells, with ENDX surpassing all NCEs in T47D cells. Synergy assays indicated that the NCEs do not synergize with ENDX, supporting their potential use as stand-alone agents. These findings highlight four NCEs with notable anti-cancer activity, with some matching or surpassing ENDX in several cancer-relevant cellular readouts, marking them as novel candidates for ERα+ breast cancer therapy. Further studies will advance one or more of these NCEs into in vivo models to confirm their therapeutic efficacy and potential for clinical application. Citation Format: Lena Batoon, Rajeev S. Muthyala, Sandra S. Hammer, Natalie Farris, Steven C. Quay, John R. Hawse. Novel (Z)-endoxifen-related new chemical entities exhibit potent anti-cancer activity in ERα+ breast cancer [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 4742.

Abstract Chimeric antigen receptor T (CART) cell therapy has shown clinical successes in B cell hematological malignancies. Two B cell maturation antigen (BCMA)-directed CART cell therapies treating multiple myeloma (MM) were approved by FDA but most patients relapse within 1-2 years. Ex vivo-expanded antigen specific T cells as cancer treatment rely on TCR-mediated killing of tumors. We hypothesized that arming ex vivo enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions. First, we expanded mucin 1 (MUC1)-activated T cells from patients with MM through ex vivo stimulation by MUC1 peptides-loaded autologous PBMCs for 19 days. Then, we engineered MUC1-activated T cells with 4-1BB-co-stimulated BCMA CAR to generate MUC1 TCR+BCMA CAR+ T cells. Baseline T cells without MUC1 stimulation were engineered with BCMA CAR as control. Baseline T cells, MUC1 T cells, baseline BCMA CART cells, or MUC1 BCMA CART cells were cocultured with luc+ RPMI-8226, a MUC1+BCMA+ MM cell line, for 3 days. MUC1 BCMA CART cells showed stronger tumor killing than BCMA CART or MUC1 T cells in all 3 patients (p<0.0001). MUC1 BCMA CART showed improved proliferation than BCMA CART or MUC1 T cells (p=0.0765, p<0.0001, respectively) after a 5-day stimulation by RPMI-8226. To exclude possibility of metabolic alterations by 19-day PBMC incubation leading to better T cell functions in MUC1 BCMA CART, baseline and MUC1-stimulated T cells from 3 healthy donors were processed for the same assays. Day-19 BCMA CART cells showed inferior tumor killing compared to baseline BCMA CART in all 3 donors (p<0.0001). Lower T cell proliferation was also observed in day-19 BCMA CART (p=0.0838). Our data indicate that improved T cell functions in MUC1 BCMA CART were unlikely due to metabolic changes and required stimulation by tumor antigens prior to CAR engineering likely through MUC1 TCR. Additionally, MUC1 T cells, BCMA CART, or MUC1 BCMA CART cells from tested patients were stimulated by RPMI-8226 for bulk RNA sequencing. Both BCMA CART and MUC1 T cells had distinct transcriptomic features from MUC1 BCMA CART cells. Differential gene expression analysis showed upregulation of T cell function-associated genes (RYR2, ITGA1, GNLY, GZMA, etc.) in MUC1 BCMA CART vs BCMA CART. Enrichment of T cell function-associated pathways was also observed in MUC1 BCMA CART. Analysis between MUC1 T cell and MUC1 BCMA CART showed upregulation of T cell function-associated genes (CSF2, CRTAM, IFNG, GZMB, etc.) and enrichment of immune response pathways in MUC1 BCMA CART. Our findings suggest that equipping ex vivo-enriched tumor-specific T cells with CARs targeting a different antigen improves T cell functions in vitro. Importantly, this provides a rationale for a therapeutic regimen where patients receive ex vivo-enriched tumor-induced T cells followed by CAR engineering. Persistence of the engineered T cells is being investigated Citation Format: Kun Yun, R. Leo Sakemura, Ismail Can, Omar Gutierrez Ruiz, Ekene J. Ogbodo, Truc N. Huynh, Claudia Manriquez Roman, Olivia Sirpilla, Carli M. Stewart, Jennifer M. Feigin, Grace E. DeFranco, Sophia Y. Goldberg, Dominic A. Skeele, Mariam Stein, Dara Missan, Latha Pathangey, Long Mai, Hong Xia, Brooke Kimball, Lionel A. Kankeu Fonkoua, Mehrdad Hefazi, Michael W. Ruff, Elizabeth L. Siegler, Leif Bergsagel, Michael Gustafson, Sandra Gendler, Saad S. Kenderian. BCMA CAR engineering arms T cells with superior functions post ex vivo stimulation by MUC1 peptide-loaded autologous PBMCs [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 6103.

Abstract Purpose To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2025 in the United States, with a focus on the nonfederal hospital and clinic sectors. Methods Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2025 were reviewed—including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, endocrine drugs, generics, specialty drugs and vaccines. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2024 were made based on a combination of quantitative analyses and expert opinion. Results In 2024, overall pharmaceutical expenditures in the US grew 10.2% compared to 2023, for a total of $805.9 billion. Utilization (a 7.9% increase) and new drugs (a 2.5% increase) drove this increase, while prices remained flat (a 0.2% decrease). Semaglutide was the top drug in 2024, followed by tirzepatide and adalimumab. Drug expenditures were $39.0 billion (a 4.9% increase) and $158.2 billion (a 14.4% increase) in nonfederal hospitals and clinics, respectively. In clinics, increased utilization drove growth, with a small contribution from new products, while prices remained flat. In nonfederal hospitals, new products, price, and new volume each contributed modestly to growth in spend. Several new drugs that will influence spending are expected to be approved in 2025. Specialty, endocrine, and cancer drugs will continue to drive expenditures. Conclusion For 2025, we expect overall prescription drug spending to rise by 9.0 to 11.0%, whereas in clinics and hospitals we anticipate an 11.0% to 13.0% increase and a 2.0% to 4.0% increase, respectively, compared to 2024. These national estimates of future pharmaceutical expenditure growth may not be representative of any health system because of the myriad of local factors that influence actual spending.

Abstract Outcomes of bispecific antibodies in patients with renal impairment (RI) are not well characterized, given the exclusion of these patients from clinical trials. Herein, we evaluated patients with relapsed/refractory multiple myeloma and RI treated with standard-of-care teclistamab. RI was defined as creatinine clearance (CrCl) <40 mL/min. CrCl <30 mL/min or dialysis dependence was defined as severe RI. Of the 384 included patients, 81 (21%) had RI, including 45 (18%) with severe RI, and 18 (5%) on dialysis. Patients with RI were more likely to be older (median age, 71 vs 67 years; P = .002) and have a higher median number of previous lines of therapy (7 vs 6; P = .04). Rates and severity of cytokine release syndrome (51% vs 59%; grade ≥3: 1.2% vs 1%) and immune effector cell–associated neurotoxicity syndrome (16% vs 13%; grade ≥3: 2.5% vs 2.6%) were similar in patients with and without RI, respectively. Patients with RI had higher baseline and day 30 post-teclistamab grade ≥3 anemia and grade ≥3 thrombocytopenia. Renal function did not worsen after teclistamab initiation in most patients with RI outside of the context of disease progression. Overall response rate (52% vs 56%; P = .61) and survival outcomes (median progression-free survival, 4.6 vs 6.5 months; P = .62) were comparable in patients with and without RI, respectively, after a median follow-up of 9.9 months. No differences in overall survival or non-relapse mortality were noted. Our findings suggest that treatment with teclistamab is feasible in patients with RI, including those on dialysis, with a similar safety and efficacy profile to patients without RI.

Key Points Pediatric preemptive kidney transplantation rates in the United States vary by socioeconomic status (SES). The HOUsing-based index of SES, an individual-level SES measure derived from residential addresses, effectively predicts pediatric preemptive kidney transplant rates. Background Preemptive kidney transplantation in children is associated with better patient and graft survival compared with transplants after dialysis. However, preemptive kidney transplantation rates in children remain low. This study aimed to evaluate the effect of socioeconomic status (SES) on preemptive transplantation in children. Methods Our study included 173 Minnesota-resident pediatric kidney transplant recipients (younger than 18 years) transplanted at the University of Minnesota from 2010 to 2020. Using the HOUsing-based index of SES (HOUSES) index, a validated, individual SES measure based on housing units categorized into quartiles (Q1: lower SES; Q2–Q4: higher SES), we applied mixed-effects multivariable logistic models to examine the effects of HOUSES on preemptive kidney transplants and pretransplant dialysis duration. Results Of 173 pediatric kidney transplant recipients, 46 (26.6%) received a preemptive transplant, and of 109 recipients with dialysis duration data, 39 (35.8%) received dialysis for >1 year. After adjusting for age at kidney failure, sex, donor type, insurance type, and underlying cause of kidney failure, we observed significantly lower odds of preemptive transplantation among Q1 recipients compared with Q2–4 recipients (adjusted odds ratio, 0.31; 95% confidence interval, 0.11 to 0.90; P = 0.03). Conclusions Using the HOUSES index, we found significant socioeconomic disparities in preemptive kidney transplantation rates among children.

Key Points Pooled discrimination metrics were acceptable (area under the receiver operating characteristic curve >0.70) for all AKI risk classification categories in both internal and external validation. Better performance was observed in most recently published studies and those with a low or unclear risk of bias. Significant heterogeneity in patient populations, definitions, clinical predictors, and methods limit implementation in real-world clinical scenarios. Background Artificial intelligence through machine learning models seems to provide accurate and precise AKI risk classification in some clinical settings, but their performance and implementation in real-world settings has not been established. Methods PubMed, Excerpta Medica (EMBASE) database, Web of Science, and Scopus were searched until August 2023. Articles reporting on externally validated models for prediction of AKI onset, AKI severity, and post-AKI complications in hospitalized adult and pediatric patients were searched using text words related to AKI, artificial intelligence, and machine learning. Two independent reviewers screened article titles, abstracts, and full texts. Areas under the receiver operating characteristic curves (AUCs) were used to compare model discrimination and pooled using a random-effects model. Results Of the 4816 articles initially identified and screened, 95 were included, representing 3.8 million admissions. The Kidney Disease Improving Global Outcomes (KDIGO)-AKI criteria were most frequently used to define AKI (72%). We identified 302 models, with the most common being logistic regression (37%), neural networks (10%), random forest (9%), and eXtreme gradient boosting (9%). The most frequently reported predictors of hospitalized incident AKI were age, sex, diabetes, serum creatinine, and hemoglobin. The pooled AUCs for AKI onset were 0.82 (95% confidence interval, 0.80 to 0.84) and 0.78 (95% confidence interval, 0.76 to 0.80) for internal and external validation, respectively. Pooled AUCs across multiple clinical settings, AKI severities, and post-AKI complications ranged from 0.78 to 0.87 for internal validation and 0.73 to 0.84 for external validation. Although data were limited, results in the pediatric population aligned with those observed in adults. Between-study heterogeneity was high for all outcomes (I 2 >90%), and most studies presented high risk of bias (86%) according to the Prediction Model Risk of Bias Assessment Tool. Conclusions Most externally validated models performed well in predicting AKI onset, AKI severity, and post-AKI complications in hospitalized adult and pediatric populations. However, heterogeneity in clinical settings, study populations, and predictors limits their generalizability and implementation at the bedside.

ImportanceAcute promyelocytic leukemia (APL) is an acute illness that presents with cytopenia, infections, and disseminated intravascular coagulation. Achieving remission has been shown to make a major difference in patient outcomes; however, early death rates in the first month have been as high as 30% due to acute presentation, comorbidities, the rarity of APL, and clinician inexperience.ObjectiveTo develop treatment strategies that would decrease estimated 1-month mortality from 30% to below 15%.Design, Setting, and ParticipantsIn this nonrandomized clinical trial, a treatment algorithm that focused on supportive care was used to prevent early death in patients with APL treated at academic and community health centers between August 2017 and July 2021. Because of the rarity of the disease, expert support was available 24/7 from 7 designated APL experts at 6 participating academic lead centers, and included an additional 293 community centers. When a patient presented with APL, an expert was contacted and a consensus treatment plan was developed using the algorithm and expert suggestions. There were no exclusion criteria and all patients with a confirmed diagnosis of APL regardless of age or comorbid conditions were enrolled. Expert support was provided throughout induction. Initial data analysis was conducted May 2023.Main Outcomes and MeasuresOne-month mortality; additional objectives were to compare outcomes in academic and community centers and assess 1-year and overall survival.ResultsA total of 201 patients were enrolled from 43 centers; 62 at lead centers and 139 from 37 community centers. The median age was 53 years (range, 18-91 years), with 72 patients (35.8%) who were aged 60 years or older; 105 patients (52.2%) were male. Fifty-two patients (26.4%) were diagnosed with high-risk APL. The 1-month mortality rate was 6 deaths of 201 patients (3.0%; 95% CI, 1.1%-6.4%) after adjusting for 1 interim analysis. In a secondary analysis using the Kaplan-Meier method, the 1-month overall survival (OS) rate was 97.0% (95% CI, 93.5%-98.6%) and the 1-year OS rate was 94.5% (95% CI, 90.3%-96.9%).Conclusions and RelevanceIn this nonrandomized clinical trial, use of an algorithm combined with expert support resulted in a dramatic decrease in early death in academic and community centers. Population-wide survival improved in this highly curable disease, which suggests that implementing an accessible support system with APL experts for comanagement is the most logical next step.Trial RegistrationClinicalTrials.gov Identifier: NCT03253848

Accurate assessment of GFR is key in patients with cancer to guide drug eligibility, adjust dosing of systemic therapy, and minimize the risks of undertreatment and systemic toxicity. Several aspects of GFR evaluation in patients with cancer have been unclear, such as the choice of the GFR estimating equation and the overall lack of data on the reliability of new filtration markers, such as cystatin C. This uncertainty has led to concerns that inaccurate GFR estimation may have a large effect on clinical practice and research. Recent data have brought important developments to the field. The new and timely Kidney Disease Improving Global Outcomes 2024 Clinical Practice Guideline for the Evaluation and Management of CKD raised important considerations and provided guidance on key aspects of GFR evaluation in patients with cancer. The guidelines cover valid estimating equations, incorporation of cystatin C in GFR estimation, drawbacks of using race in GFR estimation, and acknowledge that non-GFR determinants of filtration markers may be prominent in patients with cancer, reducing the accuracy of GFR estimating equations, prompting greater utilization of GFR measurement. The aim of this review is to summarize advances in GFR evaluation in patients with cancer considering the new Kidney Disease Improving Global Outcomes guidelines and other recent data.