Serum microRNA sequencing for diagnosis of invasive ovarian cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE94533 | GEO | 2017/10/13
SECONDARY ACCESSION(S): PRJNA371423
REPOSITORIES: GEO
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Project description:Reliable non-invasive tools to diagnose at risk metabolic dysfunction-associated steatohepatitis (MASH) are urgently needed to improve management. We developed a risk stratification score incorporating proteomics-derived serum markers with clinical variables to identify high risk MASH patients (NAFLD Activity Score (NAS) >4 and fibrosis score >2). In this three-phase proteomic study of biopsy-proven metabolic dysfunction-associated steatotic fatty liver disease (MASLD), we first developed a multi-protein predictor for discriminating NAS>4 based on SOMAscan proteomics quantifying 1,305 serum proteins from 57 US patients. Four key predictor proteins were verified by ELISA in the expanded US cohort (N=168), and enhanced by adding clinical variables to create the 9-feature MASH Dx Score which predicted MASH and also high risk MASH (F2+). The MASH Dx Score was validated in two independent, external cohorts from Germany (N=139) and Brazil (N=177). The discovery phase identified a 6-protein classifier that achieved an AUC of 0.93 for identifying MASH. Significant elevation of four proteins (THBS2, GDF15, SELE, IGFBP7) was verified by ELISA in the expanded discovery and independently in the two external cohorts. MASH Dx Score incorporated these proteins with established MASH risk factors (age, BMI, ALT, diabetes, hypertension) to achieve good discrimination between MASH and MASLD without MASH (AUC:0.87- discovery; 0.83- pooled external validation cohorts), with similar performance when evaluating high risk MASH F2-4 (vs. MASH F0-1 and MASLD without MASH). The MASH Dx Score offers the first reliable non-invasive approach combining novel, biologically plausible ELISA-based fibrosis markers and clinical parameters to detect high risk MASH in patient cohorts from the US, Brasil and Europe.
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Project description:Unexpected malignant tumors are a rare finding after surgery for symptomatic leiomyomas but there is little doubt that morcellation of these lesions is associated with a higher risk of iatrogenic peritoneal spread compared to women having surgery without morcellation. Thus, the FDA has issued a warning against the use of power morcellation in the majority of women undergoing myomectomy or hysterectomy for treatment of fibroids. We present a case report of 50 year old patient with intervertebral disc degeneration and multiple uterine fibroids decided to have laparoscopic supracervical hysterectomy. 28 months later the patient cystic adnexal mass removed by laparotomy and histologically, classified as leiomyosarcoma (sample H_12814-15). 19 months after this latter surgery MRI revealed a 10 x 8 x 6 cm abdominal mass attached to the liver and numerous other nodules attached to the abdominal wall. We investigated genomic profiles of four samples obtained from initial surgery and the malignant tumor that appeared 16 month later by molecular inversion probe (MIP) array hybridization. DNA was extracted from FFPE Tissue Samples using Covaris adaptive focused acoutics (AFATM) and truXTRACTM FFPE DNA kit and subjected to CGH analysis using the Affymetrix OncoScan platform according to the manufacturers protocol.
2018-04-30 | E-MTAB-6039 | biostudies-arrayexpress
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Project description:For developing a accurate prognostic signature for “pan-driver-gene-negative” LUAD, we employed whole genome microarray expression profiling as a discovery platform to identify candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in “pan-driver-gene-negative” LUAD. Furthermore, the Wnt/β-catenin-pathway-based gene expression profiles revealed 39 transcripts differentially expressed by diagnostic status, with 30 genes being upregulated and 9 downregulated. Finally, a Wnt/β-catenin-pathway-based signature (CSDW) comprising 4 genes (β-catenin, Wnt2b, DVL3 and SOX9) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival (hazard ratio [HR] 10·42, 6·46–16·79; p<0·001) than patients with low-risk scores. The CSDW performance was further validated in an internal cohort and two external cohorts. The protein expression levels of several hub genes, including β-catenin, SOX9, DVL3 and Wnt2b, were strongly correlated with lymphatic metastasis and distant organ metastasis. Furthermore, a nomogram comprising CSDW and other variables was generated to predict progression-free survival and overall survival in the training cohort and performed well in the three independent validation cohorts (C-index: 0·725, 0·697 and 0·693, respectively). For developing a accurate prognostic signature for “pan-driver-gene-negative” LUAD, we employed whole genome microarray expression profiling as a discovery platform to identify candidate genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis based on whole-genome microarrays indicated that the Wnt/β-catenin pathway was activated in “pan-driver-gene-negative” LUAD. Furthermore, the Wnt/β-catenin-pathway-based gene expression profiles revealed 39 transcripts differentially expressed by diagnostic status, with 30 genes being upregulated and 9 downregulated. Finally, a Wnt/β-catenin-pathway-based signature (CSDW) comprising 4 genes (β-catenin, Wnt2b, DVL3 and SOX9) was developed to classify patients into high-risk and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter overall survival (hazard ratio [HR] 10·42, 6·46–16·79; p<0·001) than patients with low-risk scores. The CSDW performance was further validated in an internal cohort and two external cohorts. The protein expression levels of several hub genes, including β-catenin, SOX9, DVL3 and Wnt2b, were strongly correlated with lymphatic metastasis and distant organ metastasis. Furthermore, a nomogram comprising CSDW and other variables was generated to predict progression-free survival and overall survival in the training cohort and performed well in the three independent validation cohorts (C-index: 0·725, 0·697 and 0·693, respectively).
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Project description:Chronic injury in kidney transplants remains a major cause of graft loss. The aim of this study was to identify a predictive gene set capable of classifying renal grafts at risk for progressive injury due to fibrosis.The Genomics of Chronic Allograft Rejection (GoCAR) study is a prospective, multicenter study. Biopsies obtained prospectively 3 months after transplantation from renal allograft recipients (n=159) with stable renal function were analyzed for gene expression by microarray. Genes were sought which correlated with subsequent 12-month Chronic Allograft Damage Index (CADI) but neither CADI in the 3 month biopsy nor other histological or clinical parameters. We identified a set of 13 genes that was independently predictive for the development of fi brosis at 1 year (ie, CADI-12 >=2). The gene set had high predictive capacity (area under the curve [AUC] 0·967), which was superior to that of baseline clinical variables (AUC 0·706) and clinical and pathological variables (AUC 0·806). Furthermore routine pathological variables were unable to identify which histologically normal allografts would progress to fi brosis (AUC 0·754), whereas the predictive gene set accurately discriminated between transplants at high and low risk of progression (AUC 0·916). The 13 genes also accurately predicted early allograft loss (AUC 0·842 at 2 years and 0·844 at 3 years). We validated the predictive value of this gene set in an independent cohort from the GoCAR study (n=45, AUC 0·866) and two independent, publically available expression datasets (n=282, AUC 0·831 and n=24, AUC 0·972). Biopsies obtained prospectively 3 months after transplantation from renal allograft recipients (n=159) with stable renal function were analyzed for gene expression by Affymetrix exon arrays. Genes that were specifically correlated with 12-month Chronic Allograft Damage Index (CADI) but neither CADI in the 3 month biopsy nor other histological or clinical parameters were identified by correlation analysis. The minimal geneset was further identified to predict the progressors/non progressors and validated by qPCR in an independent cohort and two public datasets. This dataset is part of the TransQST collection.
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Project description:Plasma from 245 patients with advanced NSCLC who received nivolumab as second-line therapy was collected and analyzed. EV-miRnome was profiled on 174/245 patients by microarray platform and selected EV-miRs were validated by qPCR. A prognostic model combining EV-miR and clinical variables was built using stepwise Cox regression analysis and tested on an independent patient cohort (71/245). EV-PD-L1 gene copy number was assessed by digital PCR. For 54 patients with disease control, EV-miR changes at best response versus baseline were investigated by microarray and validated by qPCR. EV-miRNome profiling at baseline identified two EV-miR (miR-181a-5p, miR-574-5p) that, combined with performance status, are capable of discriminating patients unlikely from those that are likely to benefit from immunotherapy (median overall survival of 4 months or higher than 9 months, respectively). EV-PD-L1 digital evaluation reported higher baseline copy number in patients at increased mortality risk, without improving the prognostic score. Best response EV-miRNome profiling selected six deregulated EV-miRs (miR19a-3p, miR-20a-5p, miR-142-3p, miR-1260a, miR-1260b, miR-5100) in responding patients. Their longitudinal monitoring highlighted a significant downmodulation already in the first treatment cycles, which lasted more than six months. Grantee: Simona Coco Grantor: Italian Ministry of Health Grant ID: CO-2016-02361470 Grant Title: Exosomal miRNA signature as prognostic marker in advanced non-small cell lung cancer (NSCLC) patients treated with Nivolumab
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2016-06-30 | E-GEOD-73383 | biostudies-arrayexpress
Project description:Unexpected malignant tumors are a rare finding after surgery for symptomatic leiomyomas but there is little doubt that morcellation of these lesions is associated with a higher risk of iatrogenic peritoneal spread compared to women having surgery without morcellation. Thus, the FDA has issued a warning against the use of power morcellation in the majority of women undergoing myomectomy or hysterectomy for treatment of fibroids.We pressent a case report of 50year old patient with intervertebral disc degeneration and multiple uterine fibroids decided to have laparoscopic supracervical hysterectomy. 28 months later the patient cystic adnexal massas removed by laparotomy and histologically, classified as leiomyosarcoma. 19 months after this latter surgery MRI revealed a 10 x 8 x 6 cm abdominal mass attached to the liver and numerous other nodules attached to the abdominal wall. We investigated genomic and expression profiles of four samples obtained from initial surgery and the malignant tumor that appeared 16 month later by molecular inversion probe (MIP) and transcriptome array hybridization. DNA was extracted from FFPE Tissue Samples using Covaris adaptive focused acoutics (AFATM) and truXTRACTM FFPE DNA kit and subjected to array analysis using the Affymetrix OncoScan and human Clariom D platforms according to the manufacturers protocol.
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