Publications by authors named "Ryan Morin"

In the LY.17 randomized phase II clinical trial, adults with relapsed and refractory diffuse large B-cell lymphoma treated with ibrutinib-R-GDP (IR-GDP) for up to three cycles had more documented bacterial and fungal infections, without improvement in overall response, compared with R-GDP. CR, complete response; DLBCL, diffuse large B-cell lymphoma; PD, progressive disease; PR, partial response; R/R, relapsed/refractory; SD, stable disease.

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Fluorescence in situ hybridization (FISH) using break-apart probes is recommended for identifying high-grade B-cell lymphoma with MYC and BCL2 rearrangements (HGBCL-DH-BCL2). Unbalanced MYC break-apart patterns, in which the red or green signal is lost, are commonly reported as an equivocal result by clinical laboratories. In a cohort of 297 HGBCL-DH-BCL2, 13% of tumors had unbalanced MYC break-apart patterns with loss of red (LR; 2%) or loss of green (LG; 11%) signal.

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Proteome coverage and accurate protein quantification are both important for evaluating biological systems; however, compromises between quantification, coverage, and mass spectrometry (MS) resources are often necessary. Consequently, experimental parameters that impact coverage and quantification must be adjusted, depending on experimental goals. Among these parameters is offline prefractionation, which is utilized in MS-based proteomics to decrease sample complexity resulting in higher overall proteome coverage upon MS analysis.

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Article Synopsis
  • * Researchers used a multiomic approach on tumor samples from 444 newly diagnosed DLBCL patients, combining gene analysis methods to identify a signature predictive of high early clinical failure risk.
  • * The study found that this signature, which includes ARID1A mutations, accurately predicted 45% of early clinical failures and could significantly influence future treatment strategies.
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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.

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  • Diffuse large B-cell lymphoma (DLBCL) relapses in about 40% of patients after initial treatment, with mutations in STAT6 linked to these relapses and indicating a role in resistance to therapy.
  • Research shows that STAT6 mutations help DLBCL cells survive by reprogramming their surrounding environment and enhancing cell signaling, particularly after IL-4 stimulation.
  • The study identifies the increased expression of survival-related genes, including CCL17, which recruits helper T-cells to the tumor area, suggesting that STAT6 mutations change both the behavior of the cancer cells and the immune landscape in DLBCL.
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Diffuse large B-cell lymphoma (DLBCL) is heterogeneous both in clinical outcomes and the underlying disease biology. Over the last 2 decades, several different approaches for dissecting biological heterogeneity have emerged. Gene expression profiling (GEP) stratifies DLBCL into 3 broad groups (ABC, GCB, and DZsig/MHG), each with parallels to different normal mature B cell developmental states and prognostic implications.

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Mantle cell lymphoma (MCL) is a lethal hematological malignancy with a median survival of 4 years. Its lethality is mainly attributed to a limited understanding of clinical tumor progression and resistance to current therapeutic regimes. Intrinsic, prolonged drug treatment and tumor-microenvironment (TME) facilitated factors impart pro-tumorigenic and drug-insensitivity properties to MCL cells.

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Article Synopsis
  • A study was conducted on diffuse large B-cell lymphoma (DLBCL) patients to identify a genetic signature that predicts those at high risk of early clinical failure (EFS24), addressing a need for better treatment selection.
  • Analysis involved tumor biopsies from 444 newly diagnosed patients using whole exome sequencing (WES) and RNA sequencing, leading to the identification of a high-risk RNA signature significantly linked to poor outcomes.
  • Integrating genomic data showed that including mutations in the signature could identify 45% of cases with early clinical failure, marking a significant advancement for potential therapeutic strategies for DLBCL.
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Purpose: Diffuse large B-cell lymphoma (DLBCL) is cured in more than 60% of patients, but outcomes remain poor for patients experiencing disease progression or relapse (refractory or relapsed DLBCL [rrDLBCL]), particularly if these events occur early. Although previous studies examining cohorts of rrDLBCL have identified features that are enriched at relapse, few have directly compared serial biopsies to uncover biological and evolutionary dynamics driving rrDLBCL. Here, we sought to confirm the relationship between relapse timing and outcomes after second-line (immuno)chemotherapy and determine the evolutionary dynamics that underpin that relationship.

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  • * A study analyzed whole-genome sequencing of 423 patients, identifying two genetically distinct subgroups of FL: DLBCL-like (dFL) and constrained FL (cFL), each with unique mutation patterns.
  • * The research developed a machine learning classification method to differentiate between cFL and dFL, finding that cFL is linked to a lower risk of histologic transformation, suggesting its potential for predicting patient outcomes based on genetic characteristics.
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Diffuse large B-cell lymphoma (DLBCL) is cured in over 60% of patients, but outcomes are poor for patients with relapsed or refractory disease (rrDLBCL). Here, we performed whole genome/exome sequencing (WGS/WES) on tumors from 73 serially-biopsied patients with rrDLBCL. Based on the observation that outcomes to salvage therapy/autologous stem cell transplantation are related to time-to-relapse, we stratified patients into groups according to relapse timing to explore the relationship to genetic divergence and sensitivity to salvage immunochemotherapy.

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Heterogeneous nuclear ribonucleoproteins (hnRNPs) are among the most abundantly expressed RNA binding proteins in the cell and play major roles in all facets of RNA metabolism. hnRNPs are increasingly appreciated as essential for mammalian B cell development by regulating the carefully ordered expression of specific genes. Due to this tight regulation of the hnRNP-RNA network, it is no surprise that a growing number of genes encoding hnRNPs have been causally associated with the onset or progression of many cancers, including B cell neoplasms.

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Targeted and semitargeted mass spectrometry-based approaches are reliable methods to consistently detect and quantify low abundance proteins including proteins of clinical significance. Despite their potential, the development of targeted and semitargeted assays is time-consuming and often requires the purchase of costly libraries of synthetic peptides. To improve the efficiency of this rate-limiting step, we developed PeptideRanger, a tool to identify peptides from protein of interest with physiochemical properties that make them more likely to be suitable for mass spectrometry analysis.

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Follicular lymphoma (FL) is an indolent cancer of mature B-cells but with ongoing risk of transformation to more aggressive histology over time. Recurrent mutations associated with transformation have been identified; however, prognostic features that can be discerned at diagnosis could be clinically useful. We present here comprehensive profiling of both tumor and immune compartments in 155 diagnostic FL biopsies at single-cell resolution by mass cytometry.

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Article Synopsis
  • Molecular heterogeneity in diffuse large B-cell lymphoma (DLBCL) affects treatment outcomes, and a study of 1149 patients in British Columbia explored the prevalence and prognosis of different molecular subgroups using various profiling techniques.
  • A significant portion of germinal center B-cell-like (GCB)-DLBCL samples (21%) expressed a new "dark zone signature" (DZsig), which is linked to poorer survival rates compared to other DLBCL types, highlighting the need for tailored treatment approaches.
  • DZsig expression, which extends beyond previously identified high-grade lymphoma markers, indicates a poor-prognosis DLBCL subgroup that might benefit from intensified therapies or novel treatments in future trials.
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Exome and genome sequencing has facilitated the identification of hundreds of genes and other regions that are recurrently mutated in hematologic neoplasms. The data sets from these studies theoretically provide opportunities. Quality differences between data sets can confound secondary analyses.

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Article Synopsis
  • * A study involved whole-genome sequencing of 230 BL and 295 diffuse large B-cell lymphoma (DLBCL) tumors, revealing key mutated genes and new subgroups of BL with specific genetic traits.
  • * The research findings indicate significant genetic and clinical disparities between pediatric and adult BL, suggesting that identifying these subtypes could inform better approaches to diagnosis and treatment.
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  • Large-scale molecular profiling and high-throughput sequencing have dramatically improved our understanding of the genomic characteristics of lymphoid neoplasms, leading to better classification and diagnosis of these diseases.
  • Despite advancements, current diagnosis primarily relies on morphological assessment and immunophenotyping, with genomic criteria applied only to a few cases.
  • The paper discusses the role of advanced molecular testing techniques in enhancing diagnosis, risk assessment, and treatment prediction, highlighting their importance for future precision medicine approaches in treating lymphoid malignancies.
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Mantle cell lymphoma (MCL) is a rare, incurable lymphoma subtype characterized by heterogeneous outcomes. To better understand the clinical behavior and response to treatment, predictive biomarkers are needed. Using residual archived material from patients enrolled in the MCL3001 (RAY) study, we performed detailed analyses of gene expression and targeted genetic sequencing.

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