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Publications

Biomarkers in oncology

Kounnis V. et al, (2021), Principles of Translational Science in Medicine: From Bench to Bedside, Third Edition, 195 - 202

Methodological studies

Azam F. et al, (2021), Principles of Translational Science in Medicine: From Bench to Bedside, Third Edition, 227 - 237

Pattern Recognition Receptor Polymorphisms as Predictors of Oxaliplatin Benefit in Colorectal Cancer.

Gray V. et al, (2019), J Natl Cancer Inst, 111, 828 - 836

Atezolizumab with or without cobimetinib versus regorafenib in previously treated metastatic colorectal cancer (IMblaze370): a multicentre, open-label, phase 3, randomised, controlled trial.

Eng C. et al, (2019), Lancet Oncol, 20, 849 - 861

Association analyses identify 31 new risk loci for colorectal cancer susceptibility.

Law PJ. et al, (2019), Nat Commun, 10

SCOT: a comparison of cost-effectiveness from a large randomised phase III trial of two durations of adjuvant Oxaliplatin combination chemotherapy for colorectal cancer.

Robles-Zurita J. et al, (2018), Br J Cancer, 119, 1332 - 1338

Mutation burden and other molecular markers of prognosis in colorectal cancer treated with curative intent: results from the QUASAR 2 clinical trial and an Australian community-based series.

Domingo E. et al, (2018), Lancet Gastroenterol Hepatol, 3, 635 - 643

3 versus 6 months of adjuvant oxaliplatin-fluoropyrimidine combination therapy for colorectal cancer (SCOT): an international, randomised, phase 3, non-inferiority trial.

Iveson TJ. et al, (2018), Lancet Oncol, 19, 562 - 578

The value of additional bevacizumab in patients with high-risk stroma-high colon cancer. A study within the QUASAR2 trial, an open-label randomized phase 3 trial.

Huijbers A. et al, (2018), J Surg Oncol, 117, 1043 - 1048

Duration of Adjuvant Chemotherapy for Stage III Colon Cancer.

Grothey A. et al, (2018), N Engl J Med, 378, 1177 - 1188

Prognostic markers for colorectal cancer: estimating ploidy and stroma.

Danielsen HE. et al, (2018), Ann Oncol, 29, 616 - 623

Genome-wide association study and meta-analysis in Northern European populations replicate multiple colorectal cancer risk loci.

Tanskanen T. et al, (2018), Int J Cancer, 142, 540 - 546

Pro-inflammatory fatty acid profile and colorectal cancer risk: A Mendelian randomisation analysis.

May-Wilson S. et al, (2017), Eur J Cancer, 84, 228 - 238

Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancer.

Rodriguez-Broadbent H. et al, (2017), Int J Cancer, 140, 2701 - 2708

Adjuvant capecitabine plus bevacizumab versus capecitabine alone in patients with colorectal cancer (QUASAR 2): an open-label, randomised phase 3 trial.

Kerr RS. et al, (2016), Lancet Oncol, 17, 1543 - 1557

Is sidedness prognostically important across all stages of colorectal cancer?

Kerr DJ. et al, (2016), Lancet Oncol, 17, 1480 - 1482

Somatic POLE proofreading domain mutation, immune response, and prognosis in colorectal cancer: a retrospective, pooled biomarker study.

Domingo E. et al, (2016), Lancet Gastroenterol Hepatol, 1, 207 - 216

Mendelian randomisation analysis strongly implicates adiposity with risk of developing colorectal cancer.

Jarvis D. et al, (2016), Br J Cancer, 115, 266 - 272

Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease.

Orlando G. et al, (2016), Hum Mol Genet, 25, 2349 - 2359

Screening for Lynch syndrome and referral to clinical genetics by selective mismatch repair protein immunohistochemistry testing: an audit and cost analysis.

Colling R. et al, (2015), J Clin Pathol, 68, 1036 - 1039

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