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Biomarker clustering of colorectal cancer data to complement clinical classification

Roadknight, Chris; Aickelin, Uwe; Ladas, Alex; Soria, Daniele; Scholefield, John; Durrant, Lindy

Authors

Chris Roadknight

Uwe Aickelin uwe.aickelin@nottingham.ac.uk

Alex Ladas

Daniele Soria

John Scholefield

Lindy Durrant



Abstract

In this paper, we describe a dataset relating to
cellular and physical conditions of patients who are
operated upon to remove colorectal tumours. This data
provides a unique insight into immunological status at the
point of tumour removal, tumour classification and postoperative survival. Attempts are made to cluster this dataset and important subsets of it in an effort to characterize the data and validate existing standards for tumour classification. It is apparent from optimal clustering that existing tumour classification is largely unrelated to immunological factors within a patient and that there may be scope for re-evaluating treatment options and survival estimates based on a combination of tumour physiology and patient histochemistry.

Peer Reviewed Peer Reviewed
APA6 Citation Roadknight, C., Aickelin, U., Ladas, A., Soria, D., Scholefield, J., & Durrant, L. Biomarker clustering of colorectal cancer data to complement clinical classification
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Biomarker_Clustering_of_Colorectal_Cancer_Data_to_complement_clinical_classification.FedCSIS.2012.pdf (157 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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