197 research outputs found
Rational management approach to pure red cell aplasia
Pure red cell aplasia is an orphan disease, and as such lacks rationally established standard therapies. Most cases are idiopathic; a subset is antibody-mediated. There is overlap between idiopathic cases and those with T-cell large granular lymphocytic leukemia, hypogammaglobulinemia, and low-grade lymphomas. In each of the aforementioned, the pathogenetic mechanisms may involve autoreactive cytotoxic responses. We selected 62 uniformly diagnosed pure red cell aplasia patients and analyzed their pathophysiologic features and responsiveness to rationally applied first-line and salvage therapies in order to propose diagnostic and therapeutic algorithms that may be helpful in guiding the management of prospective patients, 52% of whom were idiopathic, while the others involved large granular lymphocytic leukemia, thymoma, and B-cell dyscrasia. T-cell-mediated responses ranged between a continuum from polyclonal to monoclonal (as seen in large granular lymphocytic leukemia). During a median observation period of 40 months, patients received a median of two different therapies to achieve remission. Frequently used therapy included calcineurin-inhibitors with a steroid taper yielding a first-line overall response rate of 76% (53/70). Oral cyclophosphamide showed activity, albeit lower than that produced by cyclosporine. Intravenous immunoglobulins were effective both in parvovirus patients and in hypogammaglobulinemia cases. In salvage settings, alemtuzumab is active, particularly in large granular lymphocytic leukemia-associated cases. Other potentially useful salvage options include rituximab, anti-thymocyte globulin and bortezomib. The workup of acquired pure red cell aplasia should include investigations of common pathological associations. Most effective therapies are directed against T-cell-mediated immunity, and therapeutic choices need to account for associated conditions that may help in choosing alternative salvage agents, such as intravenous immunoglobulin, alemtuzumab and bortezomib
Development of a Cx46 Targeting Strategy for Cancer Stem Cells
Gap-junction-mediated cell-cell communication enables tumor cells to synchronize complex processes. We previously found that glioblastoma cancer stem cells (CSCs) express higher levels of the gap junction protein Cx46 compared to non-stem tumor cells (non-CSCs) and that this was necessary and sufficient for CSC maintenance. To understand the mechanism underlying this requirement, we use point mutants to disrupt specific functions of Cx46 and find that Cx46-mediated gap-junction coupling is critical for CSCs. To develop a Cx46 targeting strategy, we screen a clinically relevant small molecule library and identify clofazimine as an inhibitor of Cx46-specific cell-cell communication. Clofazimine attenuates proliferation, self-renewal, and tumor growth and synergizes with temozolomide to induce apoptosis. Although clofazimine does not cross the blood-brain barrier, the combination of clofazimine derivatives optimized for brain penetrance with standard-of-care therapies may target glioblastoma CSCs. Furthermore, these results demonstrate the importance of targeting cell-cell communication as an anti-cancer therapy
Exome-wide association study to identify rare variants influencing COVID-19 outcomes : Results from the Host Genetics Initiative
Publisher Copyright: Copyright: © 2022 Butler-Laporte et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75–10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights.Peer reviewe
SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues
Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to
genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility
and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component.
Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci
(eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene),
including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform
genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer
SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the
diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types
Recommended from our members
MICA Polymorphism Identified by Whole Genome Array Constitutes a Disease Predisposition Factor in T-Cell Large Granular Lymphocyte Leukemia
Abstract Large granular lymphocyte leukemia (LGL) is a disease of semiautonomous proliferation of cytotoxic T-cells (CTL) often accompanied by immune cytopenias, particularly neutropenia. LGL related cytopenias have been attributed to LGL cellular cytotoxicity or proapoptotic cytokines rather than intrinsic properties of the neutrophils. The association of LGL with autoimmunity suggests that genetic predisposition may contribute to disease pathogenesis. We studied 69 patients with LGL leukemia using a case-control approach; control populations included ethnically matched healthy individuals (N=82) and disease controls of aplastic anemia (N=48) and kidney transplant recipients (N=48). Initially, we applied the Illumina 12K non-synonymous SNP array to a subcohort of 36 LGL patients and 54 healthy controls (training set). Results were subjected to independent hypothesis-generating biostatistical algorithms. First, Exemplar automated analysis determined disease prediction based on independent χ2 analysis for each SNP. As expected, no SNP in this underpowered study reached Bonferroni corrected statistical significance, but our analysis allowed for ranking based on p-value. Second, Random Forests, a nonparametric tree method was applied, whereby all SNP information was calculated multivariately to predict disease. In a non-Mendelian inherited disease, this method more closely reflects the biology of complex polygenic traits; remarkably, those SNP identified by Random Forest were among the highest ranking SNP by Exemplar. Our initial hypothesis-generating set identified 1 SNP in unknown gene C8orf31 and 4 SNP within the MHC class I related-chain A (MICA) gene. We focused on MICA, a non-peptide presenting, tightly regulated stress response HLA molecule that could play a role in pathogenesis of neutropenia in LGL. To further substantiate our finding, the initial training set results were subjected to technical validation; fidelity was rechecked by PCR genotyping with 93% concordance. Biological validation was determined by confirmation in an independent test set consisting of 33 LGL patients and additional 28 controls. As only limited numbers of SNP were tested, there was no need for α-error adjustment. MICA SNP rs1063635 was found to have the most predictive value in both the training set (PPV=56%, NPV=89%) and test set (PPV=64%, NPV=86%). Overall, the control frequency of this SNP in homozygous form was 12% vs 60% in LGL (p<.01, OR=9.1). MICA alleles have been implicated in autoimmune diseases and malignancies. Although this SNP may not define a particular MICA genotype, it is possible that it is in linkage disequilibrium with genotype-defining polymorphisms. To study the functional consequences of our findings, flow cytometric analysis using anti-MICA antibodies was performed, which identified higher expression of MICA in neutrophils from patients as compared to controls (p=.04). MICA overexpression decreased after immunosuppressive therapy (p<.01). While the mechanism of MICA induction is unknown, we stipulate that the presence of MICA alleles leads to a persistent stimulatory signal in LGL predisposing to clonal outgrowth. In sum, our findings suggest that MICA polymorphisms may represent a predisposition factor in LGL and/or LGL-associated neutropenia
Recommended from our members
Comprehensive Identification Of Germline Alterations In Telomerase Complex Genes By Whole Exome Sequencing Of MDS and Related Myeloid Neoplasms
Abstract
In addition to classical familiar forms of bone marrow failure, some cases of aplastic anemia (AA) have been linked to inherited germ line polymorphism/mutations of telomerase machinery, leading to excessive telomere shortening. Germline telomere maintenance machinery mutations have been also been found in a proportion of acute myeloid leukemia (AML) and Myelodysplastic syndromes (MDS) patients (pts). However, the molecular pathogenesis of adult MDS and AML is complex and determination of genetic risk factors in addition to established familial and congenital syndromes has been difficult. To date targeted sequencing has been used for mutational screens with the inherent limitations of limited exome coverage, empiric bias and labor intensity. New generation (NGS) whole genome approaches prioritize somatic mutations as initial discovery targets, but the availability of sequenced cohorts allows also for detection of germline lesions both in a targeted and an unbiased fashion.
Using NGS we studied 136 pts (mean age, 68.8 years, range 41-85) with MDS and related myeloid neoplasms for the presence of non-synonymous polymorphisms (SNV), which could affect telomerase machinery. These genes included TERT, DKC1, SMG6, NOP10, POT1, WRAP53, NHP2, GAR1, TINF2. No somatic defects of the telomerase complex were detected. We focused on novel sequence alterations or those described in available databases with a population allelic frequency of less than 5%. We identified 45 non-synonymous germline sequence alterations in 39 cases (32%). Most frequent SNV were found in TERT (n=15), DKC1 (n=7), SMG6 (n=6), NOP10 (n=4), POT1 (n=4), WRAP53 (n=4), while observations of NHP2 (n=3), GAR1 (n=1), TINF2 (n=1) were less prevalent. These variants were distributed in an almost mutually exclusive manner. Out of 3 variants in TERT, p.H412Y (n=3) and p.A279T (n=9) were reported to be pathogenic in bone marrow failure syndromes. In addition, p.A999T found in 8 cases in our cohort could also be pathogenic since it is less frequent in healthy controls. Similarly, p.441_442del (n=1), located in the N-terminal region, is a completely novel germline variant not detected in 6500 samples publicly available in ESP6500. In the pAML cohort (TCGA; n=197), the observations of germline variants for these telomerase complex genes were SMG6 (n=21), POT1 (n=19), NHP2 (n=1), NOP10 (n=1) GAR1 (n=1).
Next, we analyzed clinical characteristics, including treatment responsiveness as assessed per modified 2006 IWG response criteria. The mean age of the 39 patients with germline telomerase machinery alterations was 67 years, 24% (9/39) were younger (age<60 years) compared to 12% (12/97) of wild type (WT; p=.12). Of note, 58% of these cases had a family history of solid tumors including breast, gastrointestinal and prostate and 8% (3/36) had a family history of myeloid malignancies. 41% (16/39) of the telomerase mutants had higher-risk MDS/sAML at presentation compared to 23% in WT cases (23/97; p=.19). A higher percentage of mutants also had complex cytogenetics compared to WT (35% vs. 13%; p=.01). Response rates to common therapies, including hypomethylating agents were similar, but we noted that none of the carrier cases (n=16) treated with lenalidomide showed therapeutic responses (0% vs. 37%). The mean overall survival of the carrier cases was lower compared to the WT (36 vs. 39 months, p=.10). When we studied cases with telomerase alterations for the presence of coinciding somatic mutations, using a targeted deep sequencing panel of the 100 most common mutations acquired in pts with germline telomerase complex alterations, we found most common the acquisition of DNMT3 (18% vs. 6%, p.10) and cohesin mutations (13% vs. 4%,p=.11).
In sum, unbiased NGS sequencing approaches in MDS and related myeloid neoplasms allowed for identification of genetic germline alterations in telomerase maintenance machinery at higher rates than previously detected using targeted screening approaches, suggesting that such genetic defects may more frequently than previously thought contribute to cryptic and likely complex genetic predisposition to these diseases.
Disclosures:
Makishima: AA & MDS international foundation: Research Funding; Scott Hamilton CARES grant: Research Funding
- …