Publications by authors named "ROSENQUIST R"

In chronic lymphocytic leukemia, the reliability of next-generation sequencing (NGS) to detect variants ≤10% allelic frequency (low-VAF) is debated. We tested the ability to detect 23 such variants in 41 different laboratories using their NGS method of choice. The sensitivity was 85.

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  • Chronic lymphocytic leukemia (CLL) varies greatly among patients, with some experiencing slow progression and others facing aggressive forms leading to early death.
  • A study with 1,154 CLL patients examined how lifestyle and medical history factors before diagnosis influenced the time until first treatment (TTFT), adjusting for the CLL-International Prognostic Index (CLL-IPI).
  • Results indicated that the CLL-IPI score was the main factor affecting TTFT, with minimal influence from lifestyle factors, providing reassurance to patients about the limited impact of these factors on their disease progression.
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  • Massively parallel sequencing enhances our understanding of genes and their links to diseases, especially in cancer patients, but it complicates the process of clinical decision-making due to the need for extensive manual analysis of genetic variants.
  • Aiming to improve diagnostics for lymphoma, a proposed solution involves systematic variant filtering and interpretation, utilizing machine learning techniques to assist healthcare professionals in diagnosing.
  • The developed blueprint incorporates insights from specialists and identifies essential components like algorithms, software, and bioinformatics, while emphasizing that human evaluators must still verify and validate the classifications made by the AI-driven system.
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SF3B1 mutations are recurrent in chronic lymphocytic leukemia (CLL), particularly enriched in clinically aggressive stereotyped subset #2. To investigate their impact, we conducted RNA-sequencing of 18 SF3B1 and 17 SF3B1 subset #2 cases and identified 80 significant alternative splicing events (ASEs). Notable ASEs concerned exon inclusion in the non-canonical BAF (ncBAF) chromatin remodeling complex subunit, BRD9, and splice variants in eight additional ncBAF complex interactors.

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Aims And Background: Whole-genome sequencing (WGS) is increasingly applied in clinical practice and expected to replace standard-of-care (SoC) genetic diagnostics in hematological malignancies. This study aims to assess and compare the fully burdened cost ('micro-costing') per patient for Swedish laboratories using WGS and SoC, respectively, in pediatric and adult patients with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML).

Methods: The resource use and cost details associated with SoC, chromosome banding analysis, fluorescent hybridization, and targeted sequencing analysis, were collected activity-based costing methods from four diagnostic laboratories.

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Patients with chronic lymphocytic leukemia (CLL) exhibit diverse clinical outcomes. An expanding array of genetic tests is now employed to facilitate the identification of patients with high-risk disease and inform treatment decisions. These tests encompass molecular cytogenetic analysis, focusing on recurrent chromosomal alterations, particularly del(17p).

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Gene panel sequencing has become a common diagnostic tool for detecting somatically acquired mutations in myeloid neoplasms. However, many panels have restricted content, provide insufficient sensitivity levels, or lack clinically validated workflows. We here describe the development and validation of the Genomic Medicine Sweden myeloid gene panel (GMS-MGP), a capture-based 191 gene panel including mandatory genes in contemporary guidelines as well as emerging candidates.

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  • The ChiCaP study investigates the role of childhood cancer predisposition (ChiCaP) syndromes and how integrating germline whole-genome sequencing (gWGS) with tumor sequencing can improve diagnosis and treatment strategies for children with solid tumors.
  • Out of 309 children tested, 11% were diagnosed with ChiCaP syndromes, often missed before, showing significant diagnostic yield especially in certain cancers like retinoblastomas and high-grade astrocytomas.
  • The findings underscore the importance of combining systematic phenotyping and genomic diagnostics, as it enables personalized care and tailored treatment recommendations for a substantial number of affected patients.
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  • * The updated recommendations suggest that instead of setting a specific variant allele frequency (VAF) cut-off, laboratories should focus on validating their methods for TP53 analysis, taking into account clinical context and treatment options.
  • * A simplified algorithm for classifying TP53 variants and a template for clinical reporting are introduced to help clinicians correctly interpret lab results, reducing chances of mismanagement in patient care and enhancing patient stratification in clinical trials.
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In the last decades, the development of high-throughput molecular assays has revolutionised cancer diagnostics, paving the way for the concept of personalised cancer medicine. This progress has been driven by the introduction of such technologies through biomarker-driven oncology trials. In this review, strengths and limitations of various state-of-the-art sequencing technologies, including gene panel sequencing (DNA and RNA), whole-exome/whole-genome sequencing and whole-transcriptome sequencing, are explored, focusing on their ability to identify clinically relevant biomarkers with diagnostic, prognostic and/or predictive impact.

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The NFKBIE gene, which encodes the NF-κB inhibitor IκBε, is mutated in 3-7% of patients with chronic lymphocytic leukemia (CLL). The most recurrent alteration is a 4-bp frameshift deletion associated with NF-κB activation in leukemic B cells and poor clinical outcome. To study the functional consequences of NFKBIE gene inactivation, both in vitro and in vivo, we engineered CLL B cells and CLL-prone mice to stably down-regulate NFKBIE expression and investigated its role in controlling NF-κB activity and disease expansion.

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  • - Current cancer precision medicine relies heavily on analyzing various genomic changes, with next-generation sequencing (NGS) becoming the primary method for diagnostics in recent years as it offers a comprehensive view of tumors.
  • - This shift towards NGS is driven by a need to evaluate more complex biomarkers and genomic variations that influence treatment outcomes, alongside the rapid decrease in sequencing costs and the advent of new targeted therapies.
  • - The review emphasizes the historical context of these methods, their clinical relevance in both pediatric and adult cancers, and discusses challenges in implementing them, while also stressing the importance of monitoring treatment response and exploring future advancements in sequencing technology.
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Importance: A rise in pediatric underinsurance during the last decade among households with children with special health care needs (CSHCN) requires a better understanding of which households, by health care burden or income level, have been most impacted.

Objective: To examine the prevalence of underinsurance across categories of child medical complexity and the variation in underinsurance within these categories across different levels of household income.

Design, Setting, And Participants: This cross-sectional study used data from the National Survey of Children's Health and included 218 621 US children from 2016 to 2021.

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Purpose: Primary mediastinal large B-cell lymphoma (PMBCL) is a rare aggressive lymphoma predominantly affecting young female patients. Large-scale genomic investigations and genetic markers for risk stratification are lacking.

Patients And Methods: To elucidate the full spectrum of genomic alterations, samples from 340 patients with previously untreated PMBCL were investigated by whole-genome (n = 20), whole-exome (n = 78), and targeted (n = 308) sequencing.

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Background: Research gaps exist on the use of medications for opioid use disorder (OUD) among birthing people.

Methods: This retrospective cohort study included people who underwent childbirth deliveries during 2017-2020 and had a diagnosis of OUD identified from a national private insurance claims database. Buprenorphine prescriptions received during the year before childbirth and the year after childbirth were obtained from pharmacy claims.

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Introduction: The suitability of whole-genome sequencing (WGS) as the sole method to detect clinically relevant genomic aberrations in B-cell acute lymphoblastic leukemia (ALL) was investigated with the aim of replacing current diagnostic methods.

Methods: For this purpose, we assessed the analytical performance of 150 bp paired-end WGS (90x leukemia/30x germline). A set of 88 retrospective B-cell ALL samples were selected to represent established ALL subgroups as well as ALL lacking stratifying markers by standard-of-care (SoC), so-called B-other ALL.

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  • Scientists found that a gene called ZNF217 often has mutations in a type of cancer called primary mediastinal B cell lymphoma (PMBCL).
  • In 33% of the patients studied, these mutations changed how certain genes worked, especially those related to inflammation and immune responses.
  • When they removed ZNF217 in experiments, it messed up how cells were supposed to behave and develop, showing that ZNF217 helps control gene activity and cell growth in B cells.
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The technical development of high-throughput sequencing technologies and the parallel development of targeted therapies in the last decade have enabled a transition from traditional medicine to personalized treatment and care. In this way, by using comprehensive genomic testing, more effective treatments with fewer side effects are provided to each patient-that is, precision or personalized medicine (PM). In several European countries-such as in England, France, Denmark, and Spain-the governments have adopted national strategies and taken "top-down" decisions to invest in national infrastructure for PM.

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Genetic testing has been applied for decades in clinical routine diagnostics of hematological malignancies to improve disease (sub)classification, prognostication, patient management, and survival. In recent classifications of hematological malignancies, disease subtypes are defined by key recurrent genetic alterations detected by conventional methods (i.e.

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