PURPOSE In large B-cell lymphoma (LBCL), use of high-dose methotrexate (HD-MTX) to prevent CNS relapse (so-called CNS prophylaxis) remains controversial. International guidelines continue to recommend HD-MTX in patients deemed ultra high risk (UHR) because of a lack of robust data specific to these subgroups. This study was designed to examine the impact of HD-MTX specifically in UHR patients. METHODS Data from two previous retrospective analyses were combined to produce a cohort of UHR patients (≥1 of the following criteria: CNS international prognostic index score 5-6; testicular, renal/adrenal, or breast involvement; ≥3 extranodal sites), treated with or without HD-MTX. The primary outcome was CNS relapse rate (isolated or concurrent with systemic relapse) measured from diagnosis with additional landmark analysis of all responding patients with no progression event at 6 months. RESULTS Analyses were performed on 1,923 patients meeting UHR criteria. No significant difference in 3-year CNS relapse rate was observed between no HD-MTX (n = 1,051) versus HD-MTX patients (n = 872), including in multivariable analyses adjusting for baseline characteristics (3-year rate, 9.3% v 8.1%; adjusted hazard ratio [HR], 1.13 [95% CI, 0.82 to 1.57]). Analyses restricted to isolated CNS relapse also confirmed no difference (5.9% v 5.7%; adjusted HR, 1.03 [95% CI, 0.69 to 1.53]). In the landmark analysis (no HD-MTX n = 782, HD-MTX n = 773), no difference in 3-year CNS relapse was observed (6.7% v 6.6%, adjusted HR, 0.95 [95% CI, 0.62 to 1.44]). CONCLUSION To our knowledge, this is the largest international comparative data set of patients with LBCL with UHR features showing no significant reduction in CNS relapse with HD-MTX in all UHR or in any individual subgroup. Despite inherent limitations of retrospective analyses, the data strongly support previous studies in suggesting HD-MTX prophylaxis has no meaningful benefit for most patients.
Rapid and Accurate Diagnosis and Prognosis of Acute Infections and Sepsis from Whole Blood Using Host Response mRNA amplification and Result Interpretation by Machine-Learning Classifiers
Abstract Many patients in the emergency department present with signs and symptoms that arouse concern for sepsis; however, other explanations are also possible. There are currently no rapid tests used in clinical practice that reliably distinguish the presence of a bacterial or viral infection vs. a non-infectious etiology and can predict a patient’s likelihood to decompensate. The diagnostic and prognostic uncertainty in “gray zone” patients complicates the decision to begin therapy as clinicians need to balance the risk of withholding therapy vs. the risk of the therapy itself (e.g., overtreatment with antibiotics and hospitalization, which is costly, potentially harmful, and contributes to antibiotic resistance). The TriVerity™ Test uses isothermal amplification and machine-learning algorithms to quantify and interpret mRNA expression levels to determine both likelihood of bacterial infection, viral infection, or no infection, and whether the patient will likely require one or more critical interventions within 7 days. The three scores each fall into one of five interpretation bands ranging from Very high to Very low. Testing takes approximately 30 minutes using the proprietary Myrna™ Instrument with an operator hands-on-time of under one minute. We enrolled 1,222 patients from 22 emergency departments (ED) to validate the performance of the TriVerity Test. Patients were treated as per local standard of care and were followed for 28 days. Bacterial and viral TriVerity results were validated against clinically adjudicated infection status; the illness severity TriVerity result was validated against the need for at least one critical interventions within 7 days. The bacterial TriVerity result had high AUROC for the diagnosis of bacterial infection (0.83; 80% CI 0.81–0.85) and divided bacterial infection likelihood scores into five interpretation bands with increasing likelihood ratios of infection ranging from Very low (LR- 0.08, 80% CI 0.06–0.11) to Very high (LR + 8.04, 80% CI 5.72–11.78). The AUROC for the bacterial TriVerity result was significantly higher compared to AUROCs for C-reactive protein, procalcitonin or white blood cell count. Similarly, the viral TriVerity score showed high AUROC for the diagnosis of viral infection (0.91; 80% CI 0.90–0.93) and likelihood ratios from Very low (LR- 0.09, 80% CI 0.05–0.14) to Very high (LR + 40.93; 80% CI 29.11–79.23). The TriVerity Illness Severity score showed a high AUROC for the prediction of illness severity (0.77; 80% CI 0.77–0.81) with scores divided into five interpretation bands with increasing likelihood ratios ranging from Very low (LR- 0.22; 80% CI 0.14–0.33) to Very high (LR + 11.33; 80% CI 7.31–17.00). TriVerity illness severity results allowed marked re-classification of the risk for “ICU-level care” as compared to clinical assessment (qSOFA scores) alone. In conclusion, TriVerity provides rapid, highly accurate and actionable results for the diagnosis and prognosis of patients with suspected acute infection and/or sepsis, supporting a major unmet medical need. TriVerity may improve personalized management of patients with suspected acute infections and suspected sepsis for improved overall healthcare outcomes.
Abstract 2139: Identifying molecular mechanisms in triple negative breast cancer disparities: Unveiling the role of Hedgehog signaling in non-Hispanic Black women
Abstract Triple negative breast cancer (TNBC) represents an aggressive and therapeutically challenging breast cancer subtype with higher incidence and mortality rates in non-Hispanic Black (NHB) women. This disparity persists even after adjusting for socioeconomic factors, tumor biology, and quality of care. The study aims to unravel specific molecular mechanisms underlying this disparity, with a focus on Hedgehog signaling pathways in premenopausal NHB women. Understanding these mechanisms is vital for developing targeted therapies and personalized medicine approaches to address these health disparities. Our research utilized a unique cohort of NHB and non-Hispanic White (NHW) women who underwent breast reduction surgery at the Mayo Clinic and donated breast tissue samples for our study. We isolated RNA from whole tissue sections from a cohort of 12 NHB and 40 NHW women who were parous and premenopausal at time of surgery. We performed gene expression profiling using NanoString BC360 and IO360 assays. This allowed us to identify a distinct gene expression signature characteristic of basal-like/TNBC and indicative of heightened activity in the Hedgehog signaling pathway. We also employed advanced cell culture techniques to generate tissue organoids and subculture human mammary epithelial cells (HMECs) that preserve the intrinsic characteristics of the original tissue samples. We found that significantly differential expression of IL20RA and SOX10, principal factors in the gene expression signature, were preserved in both the derived organoids and the HMECs. These results suggest a potential intrinsic difference in the activation of the Hedgehog pathway in the breast epithelial cells of NHB women. This activation may contribute to increased proliferation and transformation of basal stem cells within the breast, possibly fueling the development and progression of TNBC. The implication of activated Hedgehog signaling in NHB women opens new avenues for understanding TNBC disparities. IL20RA and SOX10 represent potential biomarkers for TNBC risk that may serve as a stratification tool for NHB women. The results of this study have the potential to improve assessment and management of TNBC risk among NHB women, thereby contributing significantly to reducing health disparities in breast cancer outcomes. Citation Format: Jennifer Vanessa Cabezas, Savanna Touré, Matthew Wilson, Melody L. Stallings Mann, Laura M. Pacheco-Spann, Joshua W. Ogony, Mark E. Sherman, Derek C. Radisky. Identifying molecular mechanisms in triple negative breast cancer disparities: Unveiling the role of Hedgehog signaling in non-Hispanic Black women [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2139.