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Article
Open AccessEarly symptoms and sensations as predictors of lung cancer: a machine learning multivariate model
The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of f...
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Article
Open AccessDiscrimination of pancreatic cancer and pancreatitis by LC-MS metabolomics
Pancreatic ductal adenocarcinoma (PDAC) is the fifth most common cause of cancer-related death in Europe with a 5-year survival rate of <5%. Chronic pancreatitis (CP) is a risk factor for PDAC development, but...
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Article
Open AccessProteomics profiling identify CAPS as a potential predictive marker of tamoxifen resistance in estrogen receptor positive breast cancer
Despite the success of tamoxifen since its introduction, about one-third of patients with estrogen (ER) and/or progesterone receptor (PgR) - positive breast cancer (BC) do not benefit from therapy. Here, we ai...
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Article
Open AccessDiscrimination of conventional and organic white cabbage from a long-term field trial study using untargeted LC-MS-based metabolomics
The influence of organic and conventional farming practices on the content of single nutrients in plants is disputed in the scientific literature. Here, large-scale untargeted LC-MS-based metabolomics was used...
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Article
HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics
High-resolution isoelectric focusing (HiRIEF) of peptides followed by mass spectrometry analysis, combined with accurate peptide pI prediction, allows a reduction of protein database search space, enabling dee...
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Article
Open AccessRetinoic acid receptor alpha is associated with tamoxifen resistance in breast cancer
About one-third of oestrogen receptor alpha-positive breast cancer patients treated with tamoxifen relapse. Here we identify the nuclear receptor retinoic acid receptor alpha as a marker of tamoxifen resistanc...
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Protocol
Protein Quantification by Peptide Quality Control (PQPQ) of Shotgun Proteomics Data
This chapter describes how to improve quantitative accuracy and precision in shotgun proteomics by PQPQ (protein quantification by peptide quality control). The method is based on the assumption that the quant...
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Article
Open AccessMultivariate meta-analysis of proteomics data from human prostate and colon tumours
There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of methods can be used to obtain systemic inform...
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Article
Open AccessIntra- and inter-metabolite correlation spectroscopy of tomato metabolomics data obtained by liquid chromatography-mass spectrometry and nuclear magnetic resonance
Nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LCMS) are frequently used as technological platforms for metabolomics applications. In this study, the metabolic profiles of ripe f...
