68
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Soluble AXL is a novel blood marker for early detection of pancreatic ductal adenocarcinoma and differential diagnosis from chronic pancreatitis

      research-article
      a , , b , , c , d , a , e , f , b , g , h , h , a , a , i , g , a , b , * , j , *
      EBioMedicine
      Elsevier
      PDAC, Pancreatic ductal adenocarcinoma, sAXL, Soluble AXL, CP, Chronic pancreatitis, CA19-9, Carbohydrate antigen 19-9, RTKs, Receptor tyrosine kinases, PanINs, Pancreatic intraepithelial neoplasias, IPMNs, Intraductal papillary mucinous neoplasms, ROC, Receiver operating curve, AUC, Area under the curve, IQR, Interquartile range, IHC, Immunohistochemistry, FDA, Food and drug administration, GAS6, Growth arrest-specific factor 6, TCGA, The Cancer Genome Atlas, GTEx, Genotype-tissue expression, HCC, Hepatocellular carcinoma, PDAC, AXL, Pancreas, Biomarker, Differential diagnosis

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          Background

          Early diagnosis is crucial for patients with pancreatic ductal adenocarcinoma (PDAC). The AXL receptor tyrosine kinase is proteolytically processed releasing a soluble form (sAXL) into the blood stream. Here we explore the use of sAXL as a biomarker for PDAC.

          Methods

          AXL was analysed by immunohistochemistry in human pancreatic tissue samples. RNA expression analysis was performed using TCGA/GTEx databases. The plasma concentrations of sAXL, its ligand GAS6, and CA19-9 were studied in two independent cohorts, the HMar cohort (n = 59) and the HClinic cohort (n = 142), including healthy controls, chronic pancreatitis (CP) or PDAC patients, and in a familial PDAC cohort (n = 68). AXL expression and sAXL release were studied in PDAC cell lines and murine models.

          Findings

          AXL is increased in PDAC and precursor lesions as compared to CP or controls. sAXL determined in plasma from two independent cohorts was significantly increased in the PDAC group as compared to healthy controls or CP patients. Patients with high levels of AXL have a lower overall survival. ROC analysis of the plasma levels of sAXL, GAS6, or CA19-9 in our cohorts revealed that sAXL outperformed CA19-9 for discriminating between CP and PDAC. Using both sAXL and CA19-9 increased the diagnostic value. These results were validated in murine models, showing increased sAXL specifically in animals developing PDAC but not those with precursor lesions or acinar tumours.

          Interpretation

          sAXL appears as a biomarker for early detection of PDAC and PDAC–CP discrimination that could accelerate treatment and improve its dismal prognosis.

          Funding

          This work was supported by grants PI20/00625 (PN), RTI2018-095672-B-I00 (AM and PGF), PI20/01696 (MG) and PI18/01034 (AC) from MICINN-FEDER and grant 2017/SGR/225 (PN) from Generalitat de Catalunya.

          Related collections

          Most cited references75

          • Record: found
          • Abstract: found
          • Article: not found

          Cancer Statistics, 2021

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2017) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2018) were collected by the National Center for Health Statistics. In 2021, 1,898,160 new cancer cases and 608,570 cancer deaths are projected to occur in the United States. After increasing for most of the 20th century, the cancer death rate has fallen continuously from its peak in 1991 through 2018, for a total decline of 31%, because of reductions in smoking and improvements in early detection and treatment. This translates to 3.2 million fewer cancer deaths than would have occurred if peak rates had persisted. Long-term declines in mortality for the 4 leading cancers have halted for prostate cancer and slowed for breast and colorectal cancers, but accelerated for lung cancer, which accounted for almost one-half of the total mortality decline from 2014 to 2018. The pace of the annual decline in lung cancer mortality doubled from 3.1% during 2009 through 2013 to 5.5% during 2014 through 2018 in men, from 1.8% to 4.4% in women, and from 2.4% to 5% overall. This trend coincides with steady declines in incidence (2.2%-2.3%) but rapid gains in survival specifically for nonsmall cell lung cancer (NSCLC). For example, NSCLC 2-year relative survival increased from 34% for persons diagnosed during 2009 through 2010 to 42% during 2015 through 2016, including absolute increases of 5% to 6% for every stage of diagnosis; survival for small cell lung cancer remained at 14% to 15%. Improved treatment accelerated progress against lung cancer and drove a record drop in overall cancer mortality, despite slowing momentum for other common cancers.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

            The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

              The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from more than 5,000 tumor samples from 20 cancer studies. The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications. © 2012 AACR.
                Bookmark

                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                29 December 2021
                January 2022
                29 December 2021
                : 75
                : 103797
                Affiliations
                [a ]Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), Unidad Asociada IIBB-CSIC, Barcelona, Spain
                [b ]Department of Cell Death and Proliferation, Institute of Biomedical Research of Barcelona (IIBB)-CSIC and Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
                [c ]Department of Pathology, Autonomous University of Barcelona, Hospital del Mar, Centro de Investigación Biomédica en Red de Oncología (CIBERONC), Barcelona, Spain
                [d ]Gastrointestinal & Pancreatic Oncology Group, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD); Hospital Clínic of Barcelona and IDIBAPS; Barcelona, Spain
                [e ]Department of Gastroenterology, Hospital del Mar, Barcelona, Spain
                [f ]Department of Medical Oncology, Hospital del Mar, Barcelona, Spain
                [g ]Molecular Oncology Program, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain
                [h ]Molecular Epidemiology and Predictive Tumour Markers Group, Medical Oncology Research Laboratory, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, Spain. CIBERONC
                [i ]Department of Cell Death and Proliferation, IIBB-CSIC, Barcelona Clinic Liver Cancer (BCLC) Group, Liver Unit, Hospital Clínic, CIBEREHD and IDIBAPS, Barcelona, Spain
                [j ]Department of Cell Death and Proliferation, IIBB-CSIC, Unidad Asociada IMIM/IIBB-CSIC; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), and IDIBAPS, Barcelona, Spain
                Author notes
                [¶]

                N. M-B. and H. C. contributed equally to this work.

                Article
                S2352-3964(21)00591-0 103797
                10.1016/j.ebiom.2021.103797
                8724936
                34973624
                da48f37a-0d2f-4a98-be37-59ff6a83f353
                © 2021 The Author(s)

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

                History
                : 11 October 2021
                : 10 December 2021
                : 16 December 2021
                Categories
                Article

                pdac, pancreatic ductal adenocarcinoma,saxl, soluble axl,cp, chronic pancreatitis,ca19-9, carbohydrate antigen 19-9,rtks, receptor tyrosine kinases,panins, pancreatic intraepithelial neoplasias,ipmns, intraductal papillary mucinous neoplasms,roc, receiver operating curve,auc, area under the curve,iqr, interquartile range,ihc, immunohistochemistry,fda, food and drug administration,gas6, growth arrest-specific factor 6,tcga, the cancer genome atlas,gtex, genotype-tissue expression,hcc, hepatocellular carcinoma,pdac,axl,pancreas,biomarker,differential diagnosis

                Comments

                Comment on this article