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      Targeted and explorative profiling of kallikrein proteases and global proteome biology of pancreatic ductal adenocarcinoma, chronic pancreatitis, and normal pancreas highlights disease-specific proteome remodelling

      research-article
      a , b , 1 , a , c , d , 1 , a , d , a , a , f , b , b , a , b , e , * , a , f
      Neoplasia (New York, N.Y.)
      Neoplasia Press
      PDAC, Mass Spectrometry, KLK, FFPE, AcLS, Acid-labile surfactant, ACN, Acetonitrile, Adj.P.Val, Adjusted p-value, AGC, Automatic Gain Control, BCA, Bicinchoninic Acid, CCM, Cell-Conditioned Medium, CP, Chronic Pancreatitis, DDA, Data Dependent Acquisition, DIA, Data Independent Acquisition, DMEM, Dulbecco´s Modified Eagle´s Medium, DTT, Dithiothreitol, EDTA, Ethylenediaminetetraacetic acid, EMT, Epithelial-Mesenchymal Transition, ESI, Electrospray Ionization, FA, Formic Acid, FC, Fold Change, FDR, False Discovery Rate, FFPE, Formalin-fixed paraffin-embedded, GO, Gene Ontology, HEPES, 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, ID, Identification, iRT, Indexed Retention Time, KLK, kallikrein, LC, Liquid Chromatography, LysC, Lysyl Endopeptidase, MS, Mass Spectrometry, m/z, Mass-to-Charge Ratio, NMAP, non-malignant adjacent pancreas, NNMC, normal non-malignant control, PDAC, Pancreatic ductal adenocarcinoma, PRM, Parallel Reaction Monitoring, RPMI, Roswell Park Memorial Institute Medium, RT, Room Temperature, SAAV, Single Amino Acid Variation, Sp3, Single-Pot, Solid-Phase-Enhanced Sample-Preparation, sPLS-DA, sparse Partial Least Squares Discriminant Analysis, SRM, Selected Reaction Monitoring, TFA, Trifluoroacetic acid

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          Highlights

          • Protein levels of kallikrein proteases 6 and 10 are upregulated in PDAC tissue compared to benign controls.

          • Proteomic ECM fingerprint not only present in PDAC but also in chronic pancreatitis.

          • Semi-tryptic analysis revealed increased proteolytic activity in chronic pancreatitis.

          • Proteogenomic analysis showed single amino acid variants of KRAS, HRAS and ANKHD1.

          Abstract

          Pancreatic ductal adenocarcinoma (PDAC) represents one of the most aggressive and lethal malignancies worldwide with an urgent need for new diagnostic and therapeutic strategies. One major risk factor for PDAC is the pre-indication of chronic pancreatitis (CP), which represents highly inflammatory pancreatic tissue. Kallikreins (KLKs) are secreted serine proteases that play an important role in various cancers as components of the tumor microenvironment. Previous studies of KLKs in solid tumors largely relied on either transcriptomics or immunodetection. We present one of the first targeted mass spectrometry profiling of kallikrein proteases in PDAC, CP, and normal pancreas. We show that KLK6 and KLK10 are significantly upregulated in PDAC (n=14) but not in CP (n=7) when compared to normal pancreas (n=16), highlighting their specific intertwining with malignancy. Additional explorative proteome profiling identified 5936 proteins in our pancreatic cohort and observed disease-specific proteome rearrangements in PDAC and CP. As such, PDAC features an enriched proteome motif for extracellular matrix (ECM) and cell adhesion while there is depletion of mitochondrial energy metabolism proteins, reminiscent of the Warburg effect. Although often regarded as a PDAC hallmark, the ECM fingerprint was also observed in CP, alongside with a prototypical inflammatory proteome motif as well as with an increased wound healing process and proteolytic activity, thereby possibly illustrating tissue autolysis. Proteogenomic analysis based on publicly accessible data sources identified 112 PDAC-specific and 32 CP-specific single amino acid variants, which among others affect KRAS and ANKHD1. Our study emphasizes the diagnostic potential of kallikreins and provides novel insights into proteomic characteristics of PDAC and CP.

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          Most cited references71

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          Hallmarks of Cancer: New Dimensions

          The hallmarks of cancer conceptualization is a heuristic tool for distilling the vast complexity of cancer phenotypes and genotypes into a provisional set of underlying principles. As knowledge of cancer mechanisms has progressed, other facets of the disease have emerged as potential refinements. Herein, the prospect is raised that phenotypic plasticity and disrupted differentiation is a discrete hallmark capability, and that nonmutational epigenetic reprogramming and polymorphic microbiomes both constitute distinctive enabling characteristics that facilitate the acquisition of hallmark capabilities. Additionally, senescent cells, of varying origins, may be added to the roster of functionally important cell types in the tumor microenvironment. SIGNIFICANCE: Cancer is daunting in the breadth and scope of its diversity, spanning genetics, cell and tissue biology, pathology, and response to therapy. Ever more powerful experimental and computational tools and technologies are providing an avalanche of "big data" about the myriad manifestations of the diseases that cancer encompasses. The integrative concept embodied in the hallmarks of cancer is helping to distill this complexity into an increasingly logical science, and the provisional new dimensions presented in this perspective may add value to that endeavor, to more fully understand mechanisms of cancer development and malignant progression, and apply that knowledge to cancer medicine.
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            Adjusting batch effects in microarray expression data using empirical Bayes methods.

            Non-biological experimental variation or "batch effects" are commonly observed across multiple batches of microarray experiments, often rendering the task of combining data from these batches difficult. The ability to combine microarray data sets is advantageous to researchers to increase statistical power to detect biological phenomena from studies where logistical considerations restrict sample size or in studies that require the sequential hybridization of arrays. In general, it is inappropriate to combine data sets without adjusting for batch effects. Methods have been proposed to filter batch effects from data, but these are often complicated and require large batch sizes ( > 25) to implement. Because the majority of microarray studies are conducted using much smaller sample sizes, existing methods are not sufficient. We propose parametric and non-parametric empirical Bayes frameworks for adjusting data for batch effects that is robust to outliers in small sample sizes and performs comparable to existing methods for large samples. We illustrate our methods using two example data sets and show that our methods are justifiable, easy to apply, and useful in practice. Software for our method is freely available at: http://biosun1.harvard.edu/complab/batch/.
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              Is Open Access

              COSMIC: the Catalogue Of Somatic Mutations In Cancer

              Abstract COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.
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                Author and article information

                Contributors
                Journal
                Neoplasia
                Neoplasia
                Neoplasia (New York, N.Y.)
                Neoplasia Press
                1522-8002
                1476-5586
                05 January 2023
                February 2023
                05 January 2023
                : 36
                : 100871
                Affiliations
                [a ]Institute for Surgical Pathology, Medical Center, Faculty of Medicine, University of Freiburg, Germany
                [b ]Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
                [c ]Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Germany
                [d ]Faculty of Biology, University of Freiburg, Freiburg, Germany
                [e ]Surgical Department, Diakonissen-Stiftungs-Krankenhaus Speyer, Paul-Egell-Straße 33, Speyer D-67346, Germany
                [f ]German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
                Author notes
                [* ]Corresponding author at: Surgical Department, Diakonissen-Stiftungs-Krankenhaus Speyer, Paul-Egell-Straße 33, Speyer D-67346, Germany. felix.rueckert@ 123456diakonissen.de
                [1]

                These authors contributed equally to this work.

                Article
                S1476-5586(22)00096-3 100871
                10.1016/j.neo.2022.100871
                9841175
                36610378
                8a47eb1e-e731-46f7-8d85-6015cf49de32
                © 2023 Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 2 December 2022
                : 22 December 2022
                Categories
                Original Research

                pdac,mass spectrometry,klk,ffpe,acls, acid-labile surfactant,acn, acetonitrile,adj.p.val, adjusted p-value,agc, automatic gain control,bca, bicinchoninic acid,ccm, cell-conditioned medium,cp, chronic pancreatitis,dda, data dependent acquisition,dia, data independent acquisition,dmem, dulbecco´s modified eagle´s medium,dtt, dithiothreitol,edta, ethylenediaminetetraacetic acid,emt, epithelial-mesenchymal transition,esi, electrospray ionization,fa, formic acid,fc, fold change,fdr, false discovery rate,ffpe, formalin-fixed paraffin-embedded,go, gene ontology,hepes, 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid,id, identification,irt, indexed retention time,klk, kallikrein,lc, liquid chromatography,lysc, lysyl endopeptidase,ms, mass spectrometry,m/z, mass-to-charge ratio,nmap, non-malignant adjacent pancreas,nnmc, normal non-malignant control,pdac, pancreatic ductal adenocarcinoma,prm, parallel reaction monitoring,rpmi, roswell park memorial institute medium,rt, room temperature,saav, single amino acid variation,sp3, single-pot, solid-phase-enhanced sample-preparation,spls-da, sparse partial least squares discriminant analysis,srm, selected reaction monitoring,tfa, trifluoroacetic acid

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