scholarly journals Identification of driver genes for severe forms of COVID-19 in a deeply phenotyped young patient cohort

Author(s):  
Raphael Carapito ◽  
Richard Li ◽  
Julie Helms ◽  
Christine Carapito ◽  
Sharvari Gujja ◽  
...  

The etiopathogenesis of severe COVID-19 remains unknown. Indeed given major confounding factors (age and co-morbidities), true drivers of this condition have remained elusive. Here, we employ an unprecedented multi-omics analysis, combined with artificial intelligence, in a young patient cohort where major co-morbidities have been excluded at the onset. Here, we established a three-tier cohort of individuals younger than 50 years without major comorbidities. These included 47 critical (in the ICU under mechanical ventilation) and 25 non-critical (in a noncritical care ward) COVID-19 patients as well as 22 healthy individuals. The analyses included whole-genome sequencing, whole-blood RNA sequencing, plasma and blood mononuclear cells proteomics, cytokine profiling and high-throughput immunophenotyping. An ensemble of machine learning, deep learning, quantum annealing and structural causal modeling led to key findings. Critical patients were characterized by exacerbated inflammation, perturbed lymphoid/myeloid compartments, coagulation and viral cell biology. Within a unique gene signature that differentiated critical from noncritical patients, several driver genes promoted severe COVID-19 among which the upregulated metalloprotease ADAM9 was key. This gene signature was replicated in an independent cohort of 81 critical and 73 recovered COVID-19 patients, as were ADAM9 transcripts, soluble form and proteolytic activity. Ex vivo ADAM9 inhibition affected SARS-CoV-2 uptake and replication in human lung epithelial cells. In conclusion, within a young, otherwise healthy, COVID-19 cohort, we provide the landscape of biological perturbations in vivo where a unique gene signature differentiated critical from non-critical patients. The key driver, ADAM9, interfered with SARS-CoV-2 biology. A repositioning strategy for anti-ADAM9 therapeutic is feasible.

Author(s):  
Raphael Carapito ◽  
Richard Li ◽  
Julie Helms ◽  
Christine Carapito ◽  
Sharvari Gujja ◽  
...  

Author(s):  
Ronald D. Edstrom ◽  
Xiuru Yang ◽  
Mary E. Gurnack ◽  
Marcia A. Miller ◽  
Rui Yang ◽  
...  

Many of the questions in biochemistry and cell biology are concerned with the relationships of proteins and other macromolecules in complex arrays which are responsible for carrying out metabolic sequences. The simplistic notion that the enzymes we isolate in soluble form from the cytoplasm were also soluble in vivo is being replaced by the concept that these enzymes occur in organized systems within the cell. In this newer view, the cytoplasm is organized and the “soluble enzymes” are in fact fixed in the cellular space and the only soluble components of the cell are small metabolites, inorganic ions etc. Further support for the concept of metabolic organization is provided by the evidence of metabolic channeling. It has been shown that for some metabolic pathways, the intermediates are not in free diffusion equilibrium with the bulk liquid in the cell but are passed along, more or less directly, from one enzyme to the next.


Author(s):  
Mari K. Halle ◽  
Marte Sødal ◽  
David Forsse ◽  
Hilde Engerud ◽  
Kathrine Woie ◽  
...  

Abstract Background Advanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated transcriptional data from cervical carcinomas related to patient survival and recurrence to identify potential molecular drivers for aggressive disease. Methods Primary tumour RNA-sequencing profiles from 20 patients with recurrence and 53 patients with cured disease were compared. Protein levels and prognostic impact for selected markers were identified by immunohistochemistry in a population-based patient cohort. Results Comparison of tumours relative to recurrence status revealed 121 differentially expressed genes. From this gene set, a 10-gene signature with high prognostic significance (p = 0.001) was identified and validated in an independent patient cohort (p = 0.004). Protein levels of two signature genes, HLA-DQB1 (n = 389) and LIMCH1 (LIM and calponin homology domain 1) (n = 410), were independent predictors of survival (hazard ratio 2.50, p = 0.007 for HLA-DQB1 and 3.19, p = 0.007 for LIMCH1) when adjusting for established prognostic markers. HLA-DQB1 protein expression associated with programmed death ligand 1 positivity (p < 0.001). In gene set enrichment analyses, HLA-DQB1high tumours associated with immune activation and response to interferon-γ (IFN-γ). Conclusions This study revealed a 10-gene signature with high prognostic power in cervical cancer. HLA-DQB1 and LIMCH1 are potential biomarkers guiding cervical cancer treatment.


Vaccines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 334
Author(s):  
Salman M. Toor ◽  
Varun Sasidharan Nair ◽  
Reem Saleh ◽  
Rowaida Z. Taha ◽  
Khaled Murshed ◽  
...  

Colorectal cancer (CRC) is influenced by infiltration of immune cell populations in the tumor microenvironment. While elevated levels of cytotoxic T cells are associated with improved prognosis, limited studies have reported associations between CD4+ T cells and disease outcomes. We recently performed transcriptomic profiling and comparative analyses of sorted CD4+ and CD8+ tumor-infiltrating lymphocytes (TILs) from bulk tumors of CRC patients with varying disease stages. In this study, we compared the transcriptomes of CD4+ with CD8+ TILs. Functional annotation pathway analyses revealed the downregulation of inflammatory response-related genes, while T cell activation and angiogenesis-related genes were upregulated in CD4+ TILs. The top 200 deregulated genes in CD4+ TILs were aligned with the cancer genome atlas (TCGA) CRC dataset to identify a unique gene signature associated with poor prognosis. Moreover, 69 upregulated and 20 downregulated genes showed similar trends of up/downregulation in the TCGA dataset and were used to calculate “poor prognosis score” (ppScore), which was significantly associated with disease-specific survival. High ppScore patients showed lower expression of Treg-, Th1-, and Th17-related genes, and higher expression of Th2-related genes. Our data highlight the significance of T cells within the TME and identify a unique candidate prognostic gene signature for CD4+ TILs in CRC patients.


2020 ◽  
Vol 27 (1) ◽  
pp. 107327482097711
Author(s):  
Jiasheng Lei ◽  
Dengyong Zhang ◽  
Chao Yao ◽  
Sheng Ding ◽  
Zheng Lu

Background: Hepatocellular carcinoma (HCC) remains the third leader cancer-associated cause of death globally, but the etiological basis for this complex disease remains poorly clarified. The present study was thus conceptualized to define a prognostic immune-related gene (IRG) signature capable of predicting immunotherapy responsiveness and overall survival (OS) in patients with HCC. Methods: Five differentially expressed IRG associated with HCC were established the immune-related risk model through univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. Patients were separated at random into training and testing cohorts, after which the association between the identified IRG signature and OS was evaluated using the “survival” R package. In addition, maftools was leveraged to assess mutational data, with tumor mutation burden (TMB) scores being calculated as follows: (total mutations/total bases) × 106. Immune-related risk term abundance was quantified via “ssGSEA” algorithm using the “gsva” R package. Results: HCC patients were successfully stratified into low-risk and high-risk groups based upon a signature composed of 5 differentially expressed IRGs, with overall survival being significantly different between these 2 groups in training cohort, testing cohort and overall patient cohort ( P = 1.745e-06, P = 1.888e-02, P = 4.281e-07). No association was observed between TMB and this IRG risk score in the overall patient cohort ( P = 0.461). Notably, 19 out of 29 immune-related risk terms differed substantially in the overall patient dataset. These risk terms mainly included checkpoints, human leukocyte antigens, natural killer cells, dendritic cells, and major histocompatibility complex class I. Conclusion: In summary, an immune-related prognostic gene signature was successfully developed and used to predict survival outcomes and immune system status in patients with HCC. This signature has the potential to help guide immunotherapeutic treatment planning for patients affected by this deadly cancer.


2020 ◽  
Vol 21 (21) ◽  
pp. 7902
Author(s):  
Oleg Kandarakov ◽  
Alexander Belyavsky

Cardiovascular diseases and cancer, the leading causes of morbidity and mortality in the elderly, share some common mechanisms, in particular inflammation, contributing to their progression and pathogenesis. However, somatic mutagenesis, a driving force in cancer development, has not been generally considered as an important factor in cardiovascular disease pathology. Recent studies demonstrated that during normal aging, somatic mutagenesis occurs in blood cells, often resulting in expansion of mutant clones that dominate hematopoiesis at advanced age. This clonal hematopoiesis is primarily associated with mutations in certain leukemia-related driver genes and, being by itself relatively benign, not only increases the risks of subsequent malignant hematopoietic transformation, but, unexpectedly, has a significant impact on progression of atherosclerosis and cardiovascular diseases. In this review, we discuss the phenomenon of clonal hematopoiesis, the most important genes involved in it, its impact on cardiovascular diseases, and relevant aspects of hematopoietic stem cell biology.


2016 ◽  
Author(s):  
Yasmin A. Lyons ◽  
Sunila Pradeep ◽  
Jean M. Hansen ◽  
Rebecca A. Previs ◽  
Hui Yao ◽  
...  

Author(s):  
Carmen Z. Cantemir-Stone ◽  
Nathan Marzlin ◽  
Jie Zhang ◽  
Kevin Wenzke ◽  
Kun Huang ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1741-1741
Author(s):  
Chandana Koorella ◽  
Jayakumar Nair ◽  
Louise Carlson ◽  
Megan Murray ◽  
Cheryl H Rozanski ◽  
...  

Abstract Abstract 1741 Multiple myeloma is a neoplasm of bone marrow resident plasma cells characterized by critical interactions between myeloma cells and bone marrow stromal cells. This interaction leads to production of IL-6, an important factor in myeloma cell biology. However, the molecular and cellular components involved in myeloma induced IL-6 production remain largely uncharacterized. While at the cellular level, dendritic cells (DC)-expressing CD80/CD86 (collectively called B7, ligands with short cytoplasmic tails and signaling partners of CD28 expressed on myeloma cells) - in the bone marrow microenvironment have been implicated as being an important component, at the molecular level the CD28-B7 and Notch1-Jagged2 pathways were separately implicated by us (in DC) and others in myeloma induced IL-6 production. Although Notch signaling leading to IL-6 production in DC is well understood, the mechanism of “backsignaling” via B7 is largely uncharacterized. To better understand downstream B7 signaling leading to IL-6 production, DC were stimulated with CD28-Ig (a soluble form of CD28 which mimicks myeloma cell-bound CD28) in the presence or absence of an inhibitor of Notch signaling, gamma secretase inhibitor (GSI). DC treated with CD28-Ig alone produced significantly (p< 0.001) higher levels of IL-6 when compared to DC treated with CD28-Ig and GSI. GSI specifically targeted Notch signaling as observed by decreased expression of Notch gene targets: Hes-1 (2 fold decrease) and Deltex-4 (4 fold decrease). Also, decreased IL-6 levels in presence of GSI were not due to the decrease in B7 expression on DC. To specifically implicate the importance of Notch1 and Jagged2, we blocked Notch1 signaling using blocking antibodies and observed a similar decrease in IL-6 production upon blocking Notch1 signaling. Our results suggest that CD28 mediated IL-6 production is dependent on Notch1 signaling and crosstalk between the Notch1-Jagged2 and CD28-B7 pathways leads to IL-6 production by DC. The model of crosstalk between CD28-B7 and Notch1-Jagged2 pathways was also observed in murine bone marrow derived dendritic cells (BMDC), where a significant (p<0.001) down regulation of IL-6 was observed upon blocking Notch signaling. One possible mechanism of crosstalk involves direct effect of B7 crosslinking by CD28-Ig on Notch expression/signaling leading to increase in IL-6 production. We tested for this possibility in DC and found no significant change in Notch expression/signaling. We thus hypothesized that the mechanism of crosstalk involves molecules downstream to Notch and/or B7. Notch signaling has been reported to be involved in the regulation of PTEN (a negative regulator of the PI3K/Akt pathway). Previous studies have also shown the importance of FoxO3a-a transcription factor tightly regulated by Akt- in regulating IL-6 production in BMDC upon B7 crosslinking. We therefore tested the possible involvement of PTEN (molecule downstream of Notch signaling), Akt and FoxO3a (molecules downstream of B7) in crosstalk between the two pathways aforementioned by testing the effect of GSI on their regulation at the protein level. We observed an approximate 2 fold decrease in phospho-PTEN/PTEN ratio in DC treated with GSI and remained so even after B7 crosslinking at an early time point (15 min. post CD28-Ig treatment.) Further, phospho-Akt/Akt ratio decreased by 1.6 fold in DC treated with both GSI and CD28-Ig compared to CD28-Ig alone at 30 min. We therefore hypothesize a model of crosstalk involving Notch mediated regulation of PTEN leading to IL-6 production via regulation of Akt and possibly FoxO3a upon B7 crosslinking. Interestingly enough “backsignaling” via B7 in myeloma-induced IL-6 production seems to involve molecules well characterized in CD28 signaling of T-cells. Targeting IL-6 induced by crosstalk between these two pathways prompts not only clinical evaluation to improve MM patient outcome but also extends to advancing knowledge in T-cell and normal plasma cell biology as well. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 697-697
Author(s):  
Maja Rothenberg-Thurley ◽  
Stephanie Schneider ◽  
Tobias Herold ◽  
Nikola P Konstandin ◽  
Annika Dufour ◽  
...  

Abstract Background: Recurrent mutations in >100 different genes have been described in AML, but the clinical relevance of most of these alterations has not been defined. Moreover, high-throughput sequencing techniques revealed that AML patients (pts) may harbor multiple, genetically related disease subclones. It is unclear whether clonal heterogeneity at diagnosis also associates with clinical characteristics or outcomes. To address these questions, we set out to characterize a relatively large, uniformly treated patient cohort for mutations in known and putative AML driver genes. Patients and Methods: We studied pretreatment blood or bone marrow specimens from adult AML pts who received high-dose cytarabine-based induction chemotherapy within the German multicenter AMLCG-2008 trial. Sequence variants (single nucleotide variants and insertions/deletions up to approx. 150bp) in 70 genes known to be mutated in AML or other hematologic neoplasms were analyzed by multiplexed amplicon resequencing (Agilent Haloplex; target region, 321 kilobases). Sequencing was performed on an Illumina MiSeq instrument using 2x250bp paired-end reads. A variant allele frequency (VAF) threshold of 2% was set for mutation detection, corresponding to heterozygous mutations present in 4% of cells in a specimen. Variants were classified as known/putative driver mutations, variants of unknown significance, or known germline polymorphisms based on published data (including dbSNP, the Catalogue Of Somatic Mutations In Cancer [COSMIC] and The Cancer Genome Atlas [TCGA]). In patients with more than one single nucleotide variant, the chi square test was used assess if the observed VAFs, adjusted for ploidy, were compatible with the presence of a single clone. Results: Material for genetic analyses was available for 280 of the 396 participants (71%) enrolled on the AMLC-2008 trial. To date, analyses have been completed for 248 pts (130 male, 118 female; median age, 54y; range 19-81y). Updated results for the entire cohort will be presented at the meeting. Mean coverage of target regions was >600-fold, and on average, 98.2% of target bases were covered >30-fold. We detected a total of 914 mutations in 46 genes, including 37 genes mutated in >1 patient (Fig. A). Nine genes (NPM1, FLT3, DNMT3A, NRAS, WT1, IDH2, RUNX1, TET2 and ASXL1) were mutated in >10% of patients (red dashed line in Fig. A). We found a median of 4 mutations per patient (range: 0-10). Of note, only 1 patient had no detectable mutation and no abnormality on cytogenetic analysis. Patients with Intermediate-risk cytogenetics according to the MRC classification harbored a higher number of driver gene mutations (median, 4) compared to patients with MRC Favorable (median, 2 mutations) or Unfavorable (median, 3 mutations) cytogenetics (P<.001). When analyzing patterns of co-occurring and mutually exclusive mutations, we confirmed well-known associations (e.g., between CEBPA and GATA2 mutations) and identified novel pairs of mutations that frequently occur in combination and, to our knowledge, have not yet been reported in AML (e.g., ASXL1/STAG2, SRSF2/STAG2). These findings may guide functional studies on the molecular mechanisms of leukemogenesis. We found evidence for clonal heterogeneity in 129 (52%) of 248 pts, based on the presence of mutations with significantly (P<.001) different VAFs within the same sample. Our analyses reveal differences in allele frequencies between different AML driver genes. Mutations can be grouped into "early" events that often are present in the founding clone, and "late" events which frequently appear to be restricted to subclones (Fig. B). Conclusion: Targeted sequencing allowed detection of mutations affecting a panel of known and putative AML driver genes in clinical specimens with high sensitivity. Our data from the AMLCG-2008 patient cohort reveal novel patterns of cooperating gene mutations, and show that the presence of subclonal driver mutations is a frequent event in AML pts. Differentiating between "founding clone" mutations, and subclonal mutations that typically occur later in the disease has implications for choosing targeted therapies aimed at disease eradication. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.


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