15 Credits SPRING

Aims/Description: The aim of this module is to develop a critical understanding of mainstream and developing technologies currently used in preclinical and clinical cancer research. Classical tumour biology, proteomic and in vivo methodologies will be explored, in addition to biomarker/drug discovery, pre-clinical imaging and patient cancer trials. Advantages and limitations of each experimental approach will be discussed and how these may lead to identification and validation of novel cancer targets and drug treatments or the refinement of established cancer therapies. The core module consists of lectures, tutorials and group work, followed by an option choice of either the Home Office Licence course or a Cancer Bioinformatics/Modelling course. Option 1 - Home Office Licence Induction Course: Biological and Veterinary Services This will introduce the principles, legislation and practical approaches to in vivo experimentation. The course will assess specific knowledge related to regulated in vivo experimentation by a multiple choice examination. Specific procedural elements will be assessed by practical examination to demonstrate an individuals' ability. Students must reach a level which will, in the future, allow application for a Home Office personal licence (PIL) to undertake regulated procedures, although this is NOT one of the outcomes of the course. Option 2 - Introduction to Bioinformatics: Mark Dunning and Michelle Lawson This option will introduce students both conceptually and practically to the possibility and challenges in bioinformatics. Bioinformatics covers a range of methodologies to manage and interpret very highly dimensional data, for example from genomics, microarray, pretomics or metabolomics, all of which are widely used in Oncology. The course will provide a taught section on bioinformatics, a detailed series of workshops showcasing how RNASeq data-analysis workflows are undertaken and an assessed mini-project in which students gain practical experience of analysing and interpreting real-life data sets.

Teaching Methods: Lectures, Tutorials, Independent Study, Home Office Licence Course or Bioinformatics Course
Assessment: Course work, Practical skills assessment

Information on the department responsible for this unit (Oncology and Metabolism):

Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK