Discovering new cancer biomarkers from blood and tissue

• Research type

  Research Tissue Bank

• IRAS ID

  250554

• Research summary

  Discovering new cancer biomarkers from patients' serum and DNA

• REC name

  Yorkshire & The Humber - Leeds East Research Ethics Committee

• REC reference

  18/YH/0314

• Date of REC Opinion

  14 Nov 2018

• REC opinion

  Further Information Favourable Opinion

• Data collection arrangements

  The biobank primarily stores plasma, serum, DNA and urine samples as well as paraffin embedded tumour samples removed during routine biopsy or surgery. All patients are requested to give consent for research and the data collection. The data is stored in a linked anonymised form on secure server on a password protected database. Some of the samples are sequential- collected every 6 months to capture the changing biomarkers during the course of the disease from diagnosis through to the treatment, cure or progression of the disease. We also hold blood, urine and DNA samples from healthy volunteers.

• Research programme

  The current research programme includes prostate cancer biomarker and gynaecological research. Publications to date: Gene and pathway level analyses of germline DNA-repair gene variants and prostate cancer susceptibility using the iCOGS-genotyping array. Saunders EJ, Dadaev T, Leongamornlert DA, et al. PRACTICAL Consortium, Easton DF, Eeles RA, Kote-Jarai Z. Br J Cancer. 2018 Mar 20;118(6):e9. doi: 10.1038/bjc.2017.468. Epub 2018 Feb 13 Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts. Seibert TM, Fan CC, Wang Yet al. BMJ. 2018 Jan 10;360:j5757. Molecular Subgroup of Primary Prostate Cancer Presenting with Metastatic Biology. Walker SM, Knight LA, McCavigan AM et al. Eur Urol. 2017 Apr 10. pii: S0302-2838(17)30238-5. Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer. Zuber V, Bettella F, Witoelar A; PRACTICAL Consortium.; CRUK GWAS.; BCAC Consortium.; TRICL Consortium., Andreassen OA, Mills IG, Urbanucci A. BMC Genomics. 2017 Mar 31;18(1):270. SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.Lin HY, Chen DT, Huang PY et al. Bioinformatics. 2017 Mar 15;33(6):822-833. Investigating the possible causal role of coffee consumption with prostate cancer risk and progression using Mendelian randomization analysis. Taylor AE, Martin RM, Geybels MS, et al. Int J Cancer. 2017 Jan 15;140(2):322-328. Alcohol consumption and prostate cancer incidence and progression: A Mendelian randomisation study Brunner C, Davies NM, Martin RM, et al.. Int J Cancer. 2017 Jan 1;140(1):75-85.

• Storage license

  12365

• RTBTitle

  Discovering new cancer biomarkers from patients' serum and DNA

• Establishment organisation

  University of Surrey

• Establishment organisation address

  Leggett Building

  Daphne Jackson Rd

  Guildford Surrey.

  GU2 7WG