Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry



+44 (0)20 7594 3195j.nicholson Website




Ms Wendy Torto +44 (0)20 7594 3225




Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus






BibTex format

author = {Poynter, L and Mirnezami, R and Galea, D and Veselkov, K and Nicholson, J and Takats, Z and Darzi, A and Kinross, J and Mirnezami, A},
doi = {10.1016/j.clcc.2019.01.004},
journal = {Clinical Colorectal Cancer},
pages = {e210--e222},
title = {Network mapping of molecular biomarkers influencing radiation response in rectal cancer},
url = {},
volume = {18},
year = {2019}

RIS format (EndNote, RefMan)

AB - IntroductionPre-operative radiotherapy (RT) has an important role in the management of locally advanced rectal cancer (RC). Tumour regression following RT shows marked variability and robust molecular methods are needed with which to predict likely response. The aim of this study was to review the current published literature and employ Gene Ontology (GO) analysis to define key molecular biomarkers governing radiation response in RC.MethodsA systematic review of electronic bibliographic databases (MEDLINE, Embase) was performed for original articles published between 2000 and 2015. Biomarkers were then classified according to biological function and incorporated into a hierarchical GO tree. Both significant and non-significant results were included in the analysis. Significance was binarized based on uni- and multivariate statistics. Significance scores were calculated for each biological domain (or node), and a direct acyclic graph was generated for intuitive mapping of biological pathways and markers involved in rectal cancer radiation response.Results72 individual biomarkers, across 74 studies, were identified through review. On highest order classification, molecular biomarkers falling within the domains of response to stress, cellular metabolism and pathways inhibiting apoptosis were found to be the most influential in predicting radiosensitivity.ConclusionsHomogenising biomarker data from original articles using controlled GO terminology demonstrates that cellular mechanisms of response to radiotherapy in RC - in particular the metabolic response to radiotherapy - may hold promise in developing radiotherapeutic biomarkers with which to predict, and in the future modulate, radiation response.
AU - Poynter,L
AU - Mirnezami,R
AU - Galea,D
AU - Veselkov,K
AU - Nicholson,J
AU - Takats,Z
AU - Darzi,A
AU - Kinross,J
AU - Mirnezami,A
DO - 10.1016/j.clcc.2019.01.004
EP - 222
PY - 2019///
SN - 1533-0028
SP - 210
TI - Network mapping of molecular biomarkers influencing radiation response in rectal cancer
T2 - Clinical Colorectal Cancer
UR -
UR -
VL - 18
ER -