Literature DB >> 28631533

U-CAN: a prospective longitudinal collection of biomaterials and clinical information from adult cancer patients in Sweden.

Bengt Glimelius1, Beatrice Melin2, Gunilla Enblad1, Irina Alafuzoff1, Anna Beskow3, Håkan Ahlström4, Anna Bill-Axelson4, Helgi Birgisson4, Ove Björ2, Per-Henrik Edqvist1, Tony Hansson1, Thomas Helleday5, Per Hellman4, Kerstin Henriksson1, Göran Hesselager6, Magnus Hultdin7, Michael Häggman4, Martin Höglund8, Håkan Jonsson2, Chatarina Larsson1, Henrik Lindman1, Ingrid Ljuslinder2, Stephanie Mindus9, Peter Nygren1, Fredrik Pontén1, Katrine Riklund2, Richard Rosenquist1, Fredrik Sandin10, Jochen M Schwenk11, Roger Stenling7, Karin Stålberg12, Peter Stålberg4, Christer Sundström1, Camilla Thellenberg Karlsson2, Bengt Westermark1, Anders Bergh7, Lena Claesson-Welsh1, Richard Palmqvist7, Tobias Sjöblom1.   

Abstract

BACKGROUND: Progress in cancer biomarker discovery is dependent on access to high-quality biological materials and high-resolution clinical data from the same cases. To overcome current limitations, a systematic prospective longitudinal sampling of multidisciplinary clinical data, blood and tissue from cancer patients was therefore initiated in 2010 by Uppsala and Umeå Universities and involving their corresponding University Hospitals, which are referral centers for one third of the Swedish population.
MATERIAL AND METHODS: Patients with cancer of selected types who are treated at one of the participating hospitals are eligible for inclusion. The healthcare-integrated sampling scheme encompasses clinical data, questionnaires, blood, fresh frozen and formalin-fixed paraffin-embedded tissue specimens, diagnostic slides and radiology bioimaging data.
RESULTS: In this ongoing effort, 12,265 patients with brain tumors, breast cancers, colorectal cancers, gynecological cancers, hematological malignancies, lung cancers, neuroendocrine tumors or prostate cancers have been included until the end of 2016. From the 6914 patients included during the first five years, 98% were sampled for blood at diagnosis, 83% had paraffin-embedded and 58% had fresh frozen tissues collected. For Uppsala County, 55% of all cancer patients were included in the cohort.
CONCLUSIONS: Close collaboration between participating hospitals and universities enabled prospective, longitudinal biobanking of blood and tissues and collection of multidisciplinary clinical data from cancer patients in the U-CAN cohort. Here, we summarize the first five years of operations, present U-CAN as a highly valuable cohort that will contribute to enhanced cancer research and describe the procedures to access samples and data.

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Year:  2017        PMID: 28631533     DOI: 10.1080/0284186X.2017.1337926

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  20 in total

1.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

Review 2.  The role of pregnancy, perinatal factors and hormones in maternal cancer risk: a review of the evidence.

Authors:  R Troisi; T Bjørge; M Gissler; T Grotmol; C M Kitahara; S M Myrtveit Saether; A G Ording; C Sköld; H T Sørensen; B Trabert; I Glimelius
Journal:  J Intern Med       Date:  2018-03-25       Impact factor: 8.989

3.  High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancer.

Authors:  Stefan Enroth; Malin Berggrund; Maria Lycke; John Broberg; Martin Lundberg; Erika Assarsson; Matts Olovsson; Karin Stålberg; Karin Sundfeldt; Ulf Gyllensten
Journal:  Commun Biol       Date:  2019-06-20

Review 4.  Recurrence Risk after Radical Colorectal Cancer Surgery-Less Than before, But How High Is It?

Authors:  Erik Osterman; Klara Hammarström; Israa Imam; Emerik Osterlund; Tobias Sjöblom; Bengt Glimelius
Journal:  Cancers (Basel)       Date:  2020-11-09       Impact factor: 6.639

5.  A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk.

Authors:  Sophia Harlid; Justin Harbs; Robin Myte; Carl Brunius; Marc J Gunter; Richard Palmqvist; Xijia Liu; Bethany Van Guelpen
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

6.  The prognostic impact of the tumour stroma fraction: A machine learning-based analysis in 16 human solid tumour types.

Authors:  Patrick Micke; Carina Strell; Johanna Mattsson; Alfonso Martín-Bernabé; Hans Brunnström; Jutta Huvila; Malin Sund; Fredrik Wärnberg; Fredrik Ponten; Bengt Glimelius; Ina Hrynchyk; Siarhei Mauchanski; Salome Khelashvili; Gemma Garcia-Vicién; David G Molleví; Per-Henrik Edqvist; Aine O Reilly; Sara Corvigno; Hanna Dahlstrand; Johan Botling; Ulrika Segersten; Agnieszka Krzyzanowska; Anders Bjartell; Jacob Elebro; Margareta Heby; Sebastian Lundgren; Charlotta Hedner; David Borg; Jenny Brändstedt; Hanna Sartor; Per-Uno Malmström; Martin Johansson; Björn Nodin; Max Backman; Cecilia Lindskog; Karin Jirström; Artur Mezheyeuski
Journal:  EBioMedicine       Date:  2021-03-08       Impact factor: 8.143

7.  Whole-genome sequencing of glioblastoma reveals enrichment of non-coding constraint mutations in known and novel genes.

Authors:  Sharadha Sakthikumar; Ananya Roy; Lulu Haseeb; Mats E Pettersson; Elisabeth Sundström; Voichita D Marinescu; Kerstin Lindblad-Toh; Karin Forsberg-Nilsson
Journal:  Genome Biol       Date:  2020-06-09       Impact factor: 13.583

8.  Ex Vivo Organoid Cultures Reveal the Importance of the Tumor Microenvironment for Maintenance of Colorectal Cancer Stem Cells.

Authors:  Xingru Li; Pär Larsson; Ingrid Ljuslinder; Daniel Öhlund; Robin Myte; Anna Löfgren-Burström; Carl Zingmark; Agnes Ling; Sofia Edin; Richard Palmqvist
Journal:  Cancers (Basel)       Date:  2020-04-10       Impact factor: 6.639

9.  Uppsala Biobank-the development of a biobank organization in a local, regional, and national setting.

Authors:  Anna Beskow
Journal:  Ups J Med Sci       Date:  2019-02-01       Impact factor: 2.384

10.  High Monocyte Count and Expression of S100A9 and S100A12 in Peripheral Blood Mononuclear Cells Are Associated with Poor Outcome in Patients with Metastatic Prostate Cancer.

Authors:  Anna-Maja Åberg; Sofia Halin Bergström; Elin Thysell; Lee-Ann Tjon-Kon-Fat; Jonas A Nilsson; Anders Widmark; Camilla Thellenberg-Karlsson; Anders Bergh; Pernilla Wikström; Marie Lundholm
Journal:  Cancers (Basel)       Date:  2021-05-17       Impact factor: 6.639

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