Citations

Abstract Rearrangements that place the oncogenes MYC, BCL2, or BCL6 adjacent to superenhancers are common in mature B-cell lymphomas. Lymphomas with diffuse large B-cell lymphoma (DLBCL) or high-grade morphology with both MYC and BCL2 rearrangements are classified as high-grade B-cell lymphoma with MYC and BCL2 rearrangements (“double hit”; HGBCL-DH-BCL2) and are associated with aggressive disease and poor outcomes. Although it is established that MYC rearrangements involving immunoglobulin (IG) loci are associated with inferior outcomes relative to those involving other non-IG superenhancers, the frequency of and mechanisms driving IG vs non-IG MYC rearrangements have not been elucidated. Here, we used custom targeted capture and/or whole-genome sequencing to characterize oncogene rearrangements across 883 mature B-cell lymphomas including Burkitt lymphoma, follicular lymphoma, DLBCL, and HGBCL-DH-BCL2 tumors. We demonstrate that, although BCL2 rearrangement topology is consistent across entities, HGBCL-DH-BCL2 have distinct MYC rearrangement architecture relative to tumors with single MYC rearrangements or with both MYC and BCL6 rearrangements (HGBCL-DH-BCL6), including both a higher frequency of non-IG rearrangements and different architecture of MYC::IGH rearrangements. The distinct MYC rearrangement patterns in HGBCL-DH-BCL2 occur on the background of high levels of somatic hypermutation across MYC partner loci in HGBCL-DH-BCL2, creating more opportunity to form these rearrangements. Furthermore, because 1 IGH allele is already disrupted by the existing BCL2 rearrangement, the MYC rearrangement architecture in HGBCL-DH-BCL2 likely reflects selective pressure to preserve both BCL2 and B-cell receptor expression. These data provide new mechanistic explanations for the distinct patterns of MYC rearrangements observed across different lymphoma entities.

Introduction: Soluble ST2 (sST2) is a serum marker of cardiomyocyte stress associated with a large risk of death and heart failure after myocardial infarction (MI). The relationship between sST2 and cardiac structure and function after MI however remains incompletely defined, and greater characterization is required prior to clinical application. Methods: Olmsted County, Minnesota residents who experienced their first MI between 2007 and 2012 were prospectively recruited. MIs were validated using standardized criteria and patients underwent simultaneous comprehensive Doppler echocardiography and sST2 measurement. The association between cardiac morphology and hemodynamics and sST2 were examined. Published normal values were used as referent ranges for sST2 levels. Results: Among 316 patients (mean age 65 [SD 14] years, 67% men, 32% ST-elevation MI), sST2 was measured 2.5 [SD 1.6] days after MI and within 0.7 [SD 2.3] days of echocardiography. Soluble ST2 was elevated in 33% of patients and univariately associated with decreased LV ejection fraction (LVEF), increased LV mass, impaired LV diastolic function and increased pulmonary artery pressure (ePAP) (Table). After adjustment for age, sex, LVEF and key measures of LV filling pressures, elevated sST2 was independently associated with reduced LVEF (p=0.01) mitral valve deceleration time (p=0.03), greater left atrial volume (p=0.03) and mitral regurgitation (≥mild; p=0.09). LVEF and ePAP exhibited the strongest associations with elevated sST2 (both p<0.001). Conclusions: Soluble ST2 is frequently elevated following MI and is strongly associated with the morphologic and hemodynamic determinants of adverse LV remodeling that infer poor long-term outcome after MI.

Background: Disease progression in heart failure (HF) reflects multiple neurohormonal derangements resulting in adverse prognosis in the absence of overt clinical events. ST2 is up-regulated in response to cardiac injury/hemodynamic stress while modulating cardiac remodeling via inflammatory and apoptotic pathways. Accordingly, we evaluated changes in ST2 over time in conjunction with troponin T (cTnT) and BNP in ambulatory patients with chronic HF. Methods: A cohort of 191 NYHA class III-IV HF patients was prospectively evaluated with serial specimens collected every 3 months over a 2-year period. Primary end points were death or cardiac transplantation; secondary end points were combined death/transplantation and HF-related hospitalization. Plasma ST2 (Critical Diagnostics) was evaluated against contemporary cTnT (Roche 4th generation) and BNP (Shinogi) assays. Gender specific cut-points (>49.3 and >33.5 ng/mL for males and females, respectively) and a clinically defined optimal cut-point for ST2 (>35 ng/mL) were evaluated. Results: Time-dependent analyses (dichotomous and continuous variable) demonstrated ST2 gender specific cut-points were superior to a single ST2 cut-point and associated with an increased risk of death or transplantation (HR 4.8, 95% CI 2.8 to 8.3, p<0.0001) and combined death/transplantation/HF-hospitalization (HR 2.1, 95% CI 1.7 to 2.5, p<0.0001). Although cTnT remained the strongest predictor of death/transplantation (HR 3.2, 95% CI 1.6 to 5.4, p<0.0001) in multivariate analyses adjusted for cTnT and BNP, ST2 (HR 3.0, 95% CI 1.6 to 5.4, p=0.0003) added significantly to predictive accuracy. Furthermore, elevated ST2 was the only independent predictor of HF-hospitalization (HR 1.7, 95% CI 1.4 to 2.1, p<0.0001). In these models BNP was no longer significantly predictive (HR 1.2, 95% CI 0.7 to 2.2, p=0.58). Conclusions: Serial monitoring of changes in ST2 using gender specific cut-points adds to the diagnostic ability of cTnT in predicting mortality and/or transplantation in outpatients with chronic HF. ST2 uniquely predicts HF-hospitalization/death/transplantation, suggesting a serial monitoring strategy with cTnT and ST2 will optimize identification of HF patients at increased risk for events.

Background: In the absence of high-quality evidence, there is a need for guidelines and multidisciplinary consensus recommendations on breast implant–associated anaplastic large-cell lymphoma (BIA-ALCL). The purpose of this expert consensus conference was to evaluate the existing evidence regarding the diagnosis and management of BIA-ALCL caused by textured implants. This article aims to provide evidence-based recommendations regarding the management and prevention of BIA-ALCL. Methods: A comprehensive search was conducted in the MEDLINE, Cochrane Library, and Embase databases, and supplemented by manual searches of relevant English-language articles and “related articles” sections. Studies focusing on breast surgery and lymphoma associated with breast implants were included for analysis. Meta-analyses were performed and reviewed by experts selected by the American Association of Plastic Surgeons using a Delphi consensus method. Results: A total of 840 articles published between January of 2011 and January of 2023 were initially identified and screened. The full text of 188 articles was assessed. An additional 43 articles were excluded for focus, and 145 articles were included in the synthesis of results, with 105 of them being case reports or case series. The analysis encompassed a comprehensive examination of the selected articles to determine the incidence, risk factors, clinical presentation, diagnostic approaches, and treatment modalities related to BIA-ALCL. Conclusions: Plastic surgeons should be aware of the elevated risks by implant surface type, implement appropriate patient surveillance, and follow the recommendations outlined in this statement to ensure patient safety and optimize outcomes. Ongoing research on the pathogenesis, genetic drivers, and preventative and prophylactic measures for BIA-ALCL is crucial for improving patient care. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, V.

Introduction: Biomarkers can facilitate the prediction of events in primary prevention. Few studies have been conducted in the community setting with analyses that incorporate many biomarkers. Hypothesis: We tested whether a multi biomarker model would outperform clinical factors and individual biomarkers for predicting MACE and Stroke/MI in subjects without known CAD. Methods: A retrospective cohort study assessed composite outcomes MACE (MI, CABG, PCI, stroke, and death) and Stroke/MI. Cox proportional hazard models were fit for individual biomarkers, adjusted for age, gender, BMI, hypertension, CAD, and GFR. Multi biomarker models were developed based on AIC values from the single-biomarker models. Bootstrap tests compared survival C-statistics and relative Integrated Discrimination Index (IDI). Results: 1131 patients in Olmsted County, MN were studied. Median age was 63.1 years, 97.5% were Caucasian, and 52.2% were female. Median BMI was 27.8. Kaplan Meier rates of MACE and Stroke/MI were 29.2% (CI = 26.5-31.8%) and 12.3% (CI = 10.3% - 14.3%), at 10 years. Adjusted NT proBNP models showed a 31% increased risk of MACE/death (HR = 1.31; CI = 1.17-1.46) and a 31% increased risk for stroke/MI (HR = 1.31; CI = 1.08-1.58). Adjusted Ceramide score models showed a 13% increased risk of MACE/death (HR = 1.13; CI = 1.04-1.24) and a 29% increased risk for stroke/MI (HR = 1.29; CI = 1.11-1.51). NT proBNP and the Ceramide score with clinical factors was better than clinical factors alone for MACE/Death (Relative IDI = 29.7%; p = 0.003) and Stroke/MI (Relative IDI = 36.1%; p = 0.034). This combined model did not outperform the strongest single biomarker model for Stroke/MI or MACE/Death. Other biomarkers were not significant when added to the combined model. Discussion: Ceramide score and NT proBNP alone and together improve the prediction of MACE and Stroke/MI in a community primary prevention cohort.

Abstract Background Artificial intelligence (AI) promises to become an important tool in the practice of laboratory medicine. AI programs are available online that can provide concise medical and laboratory information within seconds after a question is submitted. Methods We posed the following contemporary and relevant question for clinical chemists using an AI program: “Should labs eliminate CK-MB testing?” The results of this inquiry were critically reviewed by a cardiologist, emergency department physician, and clinical laboratorians for accuracy and appropriateness. Results An AI report answering this question was generated within 15 s. The experts felt that the information was inaccurate with the statements that CK-MB results are released earlier than cardiac troponin (cTn), and are more useful for detection of myocardial injury in patients with renal insufficiencies. The summary omitted discussion on the ongoing debate for periprocedural detection of acute myocardial infarction (MI), the perceived value for detection of reinfarction, the value in risk stratification compared to cTn, the economic justification for testing both CK-MB and cTn, and medicolegal aspects of testing when results are discordant. Conclusions At this time, AI does not appear to be ready to be used by clinical laboratories for answering important practice questions.

Background: Anaplastic large cell lymphomas (ALCLs) are CD30-positive T-cell lymphomas that share pathologic features but differ in clinical presentation, outcome, and molecular features. The World Health Organization (WHO) and International Consensus Classification (ICC) classify ALCLs by presence or absence of ALK rearrangements (R) and clinical presentation (systemic, cutaneous [c], or breast implant-associated [BIA]). ICC, but not WHO, recognizes DUSP22-R as defining a new genetic subtype of ALK- ALCL. The classifications otherwise do not reflect additional molecular heterogeneity in genetics (e.g., TP63-R) or therapeutic vulnerabilities (e.g., JAK-STAT3 pathway activation). Methods: ALCLs (N=689) underwent expert consensus review (WHO/ICC) through the Lymphoma/Leukemia Molecular Profiling Project (LLMPP). All cases also underwent genetic subtyping (ALK, DUSP22, TP63, and triple-negative [TN]) using fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC), as well as IHC for phospho-STAT3 Tyr705 (pSTAT3). RNAseq was performed and evaluable in 393 cases; the remaining cases had insufficient tissue, tumor content, RNA yield or quality, and/or sequencing data quality. Sequenced and non-sequenced sub-cohorts had similar demographics and subtype distribution. Results: Unsupervised gene expression profiling (GEP) identified 2 main molecular types of ALCL. Type I ALCLs predominantly included ALK+ ALCLs, BIA-ALCLs, and a subset of TN ALCLs (designated TN-I), whereas Type II ALCLs predominantly included ALCLs with DUSP22-R, TP63-R, or both (double-hit; DH), and the remaining TN ALCLs (TN-II). Type I ALCLs were strongly associated with pSTAT3 expression (74.2±26.4% positive malignant cells vs 9.9±22.7% for Type II; P&lt;0.0001). An independently derived pSTAT3 staining threshold of 30% assigned Type I vs II with 91% accuracy. A third cluster of ALCLs, mostly cALCL, showed an epithelial GEP signature rather than a lymphoma signature; these cases were assigned to Types I or II based on pSTAT3 IHC. Distinct sub-signatures were identified for ALK+, DUSP22-R, TP63-R, and BIA ALCL (Fig. 1), but not ALK- ALCL or cALCL. Gene set enrichment analysis showed Type I ALCLs to be enriched for JAK-STAT3 signaling genes (normalized enrichment score [NES], 2.22; FDR&lt;0.0001) and related pathways, such as TNFα-NFκB signaling (NES, 2.21; FDR&lt;0.0001). In contrast, Type II ALCLs were enriched for cell cycle, DNA repair, epigenetic, and metabolic pathway genes, but not for major tyrosine kinase-mediated signaling pathway genes. Enriched epigenetic pathways included chromatin modifying enzymes (NES, -1.86; FDR=0.002) and histone methylation (NES, -1.71; FDR=0.002). EZH2 was the most overexpressed gene in Type II ALCLs (fold-change, 7.74; FDR=8.84×10 -306). At the protein level, EZH2 IHC H-scores were 275±45 in Type II and 168±70 in Type I ALCLs (P&lt;0.0001); H3K27me3 H-scores were 170±81 and 76±63, respectively (P&lt;0.001). The top metabolic gene set involved cholesterol biosynthesis (NES, -1.88; FDR=0.002). Overall survival (OS) data were available in 257 systemic ALCL patients (145 sequenced and 112 non-sequenced; cALCL and BIA-ALCL were excluded). Non-sequenced TN ALCLs were assigned to TN-I or TN-II using pSTAT3 IHC. The results supported earlier data indicating favorable prognosis of DUSP22-R ALCL (5 y OS, 95%) and ALK+ ALCL (87%), intermediate prognosis of TN ALCL (TN-I, 52% and TN-II, 38%; P=NS), and poor prognosis of TP63-R/DH ALCL (0%)(P&lt;0.0001; Fig. 2). Conclusions: Two overarching molecular types of ALCL exist, predominantly associated with the presence (Type I) or absence (Type II) of the JAK-STAT3 signaling program. Distinct GEP signatures exist for ALK+ ALCL and BIA-ALCL (predominantly Type I), and DUSP22-R ALCL and TP63-R ALCL (predominantly Type II). TN ALCLs lacking ALK-R, DUSP22-R, and TP63-R can be stratified into TN-I and TN-II subtypes. pSTAT3 IHC has &gt;90% accuracy as a surrogate for GEP-based subtyping. ALK- ALCL and cALCL cluster by molecular subtype rather than by defining GEP signatures. Type II ALCLs are enriched for targetable epigenetic and metabolic pathways, including EZH2/histone methylation and cholesterol biosynthesis. This molecular classification is diagnostically, prognostically, and potentially therapeutically relevant, and can be applied using FISH and IHC in routine practice and in the clinical trial setting.