MCP: e-Science for Cancer Prevention and Control

MCP: e-Science for Cancer Prevention and Control

Why do some people get cancer and others do not? Why do some people respond well to certain treatments whilst others do not? How can we improve cancer screening such as mammography to increase the rate of early cancer detection? These are some of the questions that will be addressed in the SeRC flagship project e-Science for Cancer Prevention and Control (eCPC).

 

Read more about eCPC at www.ecpc.e-science.se

 

Selected publications:

 

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study

O. Spjuth, A. Karlsson, M. Clements, K. Humphreys, E. Ivansson, J. Dowling, M. Eklund, A. Jauhiainen, K. Czene, H. Grönberg, P. Sparén, F. Wiklund, A. Cheddad, T. Pálsdóttir, M. Rantalainen, L. Abrahamsson, E. Laure, JE Litton, J. Palmgren.

Journal of the American Medical Informatics Association, Volume 24, Issue 5, 1 September 2017, Pages 950–957. DOI: https://doi.org/10.1093/jamia/ocx038

 

 

Recommendations on e-infrastructures for next-generation sequencing

O. Spjuth, E. Bongcam-Rudloff, J. Dahlberg, M. Dahlö, A. Kallio, L. Pireddu, F. Vezzi, and E. Korpelainen, 

GigaScience, vol. 5, no. 1, pp. 1–9, 2016. DOI: 10.1186/s13742-016-0132-7

 

‘ Prostate cancer screening in men 50-69 years (STHLM3): a prospective population-based diagnostic study ’,

Henrik Grönberg, Jan Adolfsson, Markus Aly, Tobias Nordström, Peter Wiklund, Yvonne Brandberg, James Thompson, Fredrik Wiklund, Johan Lindberg, Mark Clements, Lars Egevad & Martin Eklund

The Lancet Oncology , online November 9, 2015 , http://dx.doi.org/10.1016/S1470-2045(15)00361-7.

 

Enabling integrative cross-biobank research: the SAIL method for harmonizing and linking biomedical and clinical data across disparate data archives

O. Spjuth, J. Hastings, J. Dietrich, J. Heikkinn, N. Pedersen, J. Hottenga, S. Ripatti, P. Burton, I. Fortier, C. van Duijn, E. Wichmann, J. Rung, M. McCarthy, M. Allen, E. Raulo, I. Prokopenko, J. Karvanen, M. Perola, M. Kolz, E. J.C. de Geus, G. Willemsen, P. Magnusson, J-E. Litton, J. Palmgren, M. Krestyaninova, and J. Harris. 

European Journal of Human Genetics (2016) 24, 521–528; doi:10.1038/ejhg.2015.165

 

Abrahamsson L and Humphreys K.

A statistical model of breast cancer tumour growth with estimation of screening sensitivity as a function of mammographic density.

Statistical Methods in Medical Research. 2013 Jul 9. 

 

Eeles RA, Olama AA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M, Ghoussaini M, Luccarini C, Dennis J, Jugurnauth-Little S, Dadaev T, Neal DE, Hamdy FC, Donovan JL, Muir K, Giles GG, Severi G, Wiklund F, Gronberg H, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindstrom S, Kraft P, Hunter DJ, Gapstur S, Chanock SJ, Berndt SI, Albanes D, Andriole G, Schleutker J, Weischer M, Canzian F, Riboli E, Key TJ, Travis RC, Campa D, Ingles SA, John EM, Hayes RB, Pharoah PD, Pashayan N, Khaw KT, Stanford JL, Ostrander EA, Signorello LB, Thibodeau SN, Schaid D, Maier C, Vogel W, Kibel AS, Cybulski C, Lubinski J, Cannon-Albright L, Brenner H, Park JY, Kaneva R, Batra J, Spurdle AB, Clements JA, Teixeira MR, Dicks E, Lee A, Dunning AM, Baynes C, Conroy D, Maranian MJ, Ahmed S, Govindasami K, Guy M, Wilkinson RA, Sawyer EJ, Morgan A, Dearnaley DP, Horwich A, Huddart RA, Khoo VS, Parker CC, Van As NJ, Woodhouse CJ, Thompson A, Dudderidge T, Ogden C, Cooper CS, Lophatananon A, Cox A, Southey MC, Hopper JL, English DR, Aly M, Adolfsson J, Xu J, Zheng SL, Yeager M, Kaaks R, Diver WR, Gaudet MM, Stern MC, Corral R, Joshi AD, Shahabi A, Wahlfors T, Tammela TL, Auvinen A, Virtamo J, Klarskov P, Nordestgaard BG, Røder MA, Nielsen SF, Bojesen SE, Siddiq A, Fitzgerald LM, Kolb S, Kwon EM, Karyadi DM, Blot WJ, Zheng W, Cai Q, McDonnell SK, Rinckleb AE, Drake B, Colditz G, Wokolorczyk D, Stephenson RA, Teerlink C, Muller H, Rothenbacher D, Sellers TA, Lin HY, Slavov C, Mitev V, Lose F, Srinivasan S, Maia S, Paulo P, Lange E, Cooney KA, Antoniou AC, Vincent D, Bacot F, Tessier DC; COGS–Cancer Research UK GWAS–ELLIPSE (part of GAME-ON) Initiative; Australian Prostate Cancer Bioresource; UK Genetic Prostate Cancer Study Collaborators/British Association of Urological Surgeons' Section of Oncology; UK ProtecT (Prostate testing for cancer and Treatment) Study Collaborators; PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Kote-Jarai Z, Easton DF.

Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array.

Nature Genetics. 2013 Apr;45(4):385-91, 391e1-2. doi: 10.1038/ng.2560