Dataset Information

Analysis of disease-associated protein expression using quantitative proteomics - Fibulin-5 is expressed in association with hepatic fibrosis.

ABSTRACT: Data from ProteomeXchange, PXD ID: PXD001474. File: OEI6412.mzml. Published as part of J Proteome Res. 2015 Mar 25 . From the Abstract: {{i}} In order to develop non-invasive diagnostic assays for the assessment of liver fibrosis it is urgently necessary to identify molecules which are robustly expressed in association with the disease. We analyzed biopsied tissue samples from 95 patients with HBV/HCV-associated hepatic fibrosis using three different quantification methods. We performed a label-free proteomics discovery study to identify novel disease-associated proteins using a subset of the cohort (n = 27). {{/i}}

INSTRUMENT(S): Instrument

ORGANISM(S): Homo_sapiens_viruses, Human

DISEASE(S): Not Available

SUBMITTER: Bracht T, et al.

PROVIDER: GPM32320014466 | GPMDB |

REPOSITORIES: GPMDB

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Analysis of disease-associated protein expression using quantitative proteomics—fibulin-5 is expressed in association with hepatic fibrosis.

Bracht Thilo T Schweinsberg Vincent V Trippler Martin M Kohl Michael M Ahrens Maike M Padden Juliet J Naboulsi Wael W Barkovits Katalin K Megger Dominik A DA Eisenacher Martin M Borchers Christoph H CH Schlaak Jörg F JF Hoffmann Andreas-Claudius AC Weber Frank F Baba Hideo A HA Meyer Helmut E HE Sitek Barbara B

Journal of proteome research 20150406 5

Hepatic fibrosis and cirrhosis are major health problems worldwide. Until now, highly invasive biopsy remains the diagnostic gold standard despite many disadvantages. To develop noninvasive diagnostic assays for the assessment of liver fibrosis, it is urgently necessary to identify molecules that are robustly expressed in association with the disease. We analyzed biopsied tissue samples from 95 patients with HBV/HCV-associated hepatic fibrosis using three different quantification methods. We per ...[more]

PMID: 25807371

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Project description:Background National Surgical Adjuvant Breast and Bowel Project (NSABP) trial B-31 suggested the efficacy of adjuvant trastuzumab, even in HER2-negative breast cancer. This finding prompted us to develop a predictive model for degree of benefit from trastuzumab using archived tumor blocks from B-31. Methods Case subjects with tumor blocks were randomly divided into discovery (n = 588) and confirmation cohorts (n = 991). A predictive model was built from the discovery cohort through gene expression profiling of 462 genes with nCounter assay. A predefined cut point for the predictive model was tested in the confirmation cohort. Gene-by-treatment interaction was tested with Cox models, and correlations between variables were assessed with Spearman correlation. Principal component analysis was performed on the final set of selected genes. All statistical tests were two-sided. Results Eight predictive genes associated with HER2 (ERBB2, c17orf37, GRB7) or ER (ESR1, NAT1, GATA3, CA12, IGF1R) were selected for model building. Three-dimensional subset treatment effect pattern plot using two principal components of these genes was used to identify a subset with no benefit from trastuzumab, characterized by intermediate-level ERBB2 and high-level ESR1 mRNA expression. In the confirmation set, the predefined cut points for this model classified patients into three subsets with differential benefit from trastuzumab with hazard ratios of 1.58 (95% confidence interval [CI] = 0.67 to 3.69; P = .29; n = 100), 0.60 (95% CI = 0.41 to 0.89; P = .01; n = 449), and 0.28 (95% CI = 0.20 to 0.41; P < .001; n = 442; P interaction between the model and trastuzumab < .001). Conclusions We developed a gene expression-based predictive model for degree of benefit from trastuzumab and demostrated that HER2-negative tumors belong to the moderate benefit group, thus providing justification for testing trastuzumab in HER2-negative patients (NSABP B-47). ** Reprinted from J Natl Cancer Inst;2013;105:1782-1788 with permission from Oxford University Press.

Project description:Performing GWAS on multiple myeloma in relation to the development of the toxicity neuropathy. This set was used as validation set. We performed a genome-wide association study using Affymetrix HD-SNP arrays 6.0 to identify risk variants for developing bortezomib-induced peripheral neuropathy (BiPN) in 469 multiple myeloma (MM) patients who received bortezomib-dexamethasone therapy prior to autologous stem-cell transplantation and conducted validation in an independent cohort of 116 MM patients. We identified one previously unreported BiPN risk locus at 21q22.3 (rs2839629, PKNOX1; OR = 0.53, 95% CI: [0.40-0.69]). PKNOX1 is known to regulate MCP-1, a potent mediator of chemotherapy-induced peripheral neuropathy. rs2839629 is in strong linkage disequilibrium ( r2 = 0.87) with rs915854, localized 6.5kb centromeric to CBS encoding endogenous H2S-producing enzyme. CBS-H2S signalling pathway is implicated in the pathogenesis of a variety of neurodegenerative and inflammatory disorders, and specifically in neuropathy models. Our data provide conclusive evidence for genetic susceptibility to BiPN in MM and new potential targets in neuro-protective strategies of treatment. Each patient of both IFM and HOVON cohorts was genotyped using the Affymetrix SNP6.0 Human DNA chip (Affymetrix, Santa Clara, CA) according to manufacturerâs instructions (Affymetrix, Santa Clara, CA). The HOVON65 samples were genotyped using CRLMM v2 resulting in a call rate higher than 95%. Unannotated SNPs according to the hg19 na32 SNP6 Affymetrix annotations (n= 130) along with SNPs from MT and sexual chromosomes (n= 37,326) were not considered in the study. To perform GWAS in the IFM cohort, we used stringent criteria to select a total of 370,605 SNPs from the 872,166 SNPs available onto the array. A SNP was analysed if an AA or BB genotype was present in more than 5% of patients, if its genotype was determined in at least 95% of the patients and if the Hardy-Weinberg rule was not rejected. Statistical analyses were performed using SNPTEST v2.5.11. Firstly, we compared 370,605 genotypes from 155 IFM patients with neuropathy (grade >= 2) after bortezomib exposure to 314 control patients treated with bortezomib who did not develop neuropathy (grade 0-1). Secondly, we performed a validation in the HOVON 65/GMMG-HD4cohort for the highest associated SNPs as identified in the discovery cohort. We compared 41 bortezomib-treated patients with neuropathy (grade >= 2) with 75 bortezomib-treated controls who did not develop neuropathy. We applied a one-sided logistic regression with 10,000 label swapping permutations to correct for multiple testing in order to confirm BiPN association in this independent cohort. This set was used as a validation set. An independent dataset was used for discovery [GSE65777].

Dataset Information

Analysis of disease-associated protein expression using quantitative proteomics - Fibulin-5 is expressed in association with hepatic fibrosis.

Publications

Analysis of disease-associated protein expression using quantitative proteomics—fibulin-5 is expressed in association with hepatic fibrosis.

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