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Developing a Raman spectroscopy-based tool to stratify patient response to pre-operative radiotherapy in rectal cancer - dataset

Kirkby, Chloe J. and Gala de Pablo, Julia and Tinkler-Hundal, Emma and Wood, Henry M. and Evans, Stephen D. and West, Nicholas P. (2020) Developing a Raman spectroscopy-based tool to stratify patient response to pre-operative radiotherapy in rectal cancer - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/889

Dataset description

Rectal cancer patients frequently receive pre-operative radiotherapy (RT), prior to surgical resection. However, colorectal cancer is heterogeneous and the degree of tumour response to pre operative RT is highly variable. There are currently no clinically approved methods of predicting response to RT, and a significant proportion of patients will show no clinical benefit, despite enduring the side-effects. This dataset contains the raw and pre-processed Raman spectra taken from the biopsy specimens of 20 rectal cancer patients who showed a varying degree of tumour response to RT. This data was used in the multivariate analysis described in the associated paper to predict patient response to pre-operative RT.

Keywords: Raman spectroscopy, pathology, colorectal cancer, rectal cancer
Subjects: B000 - Subjects allied to medicine > B100 - Anatomy, physiology & pathology > B130 - Pathology
C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C710 - Applied molecular biology, biophysics & biochemistry
Divisions: Faculty of Mathematics and Physical Sciences > School of Physics and Astronomy
Faculty of Medicine and Health > School of Medicine
Related resources:
LocationType
https://doi.org/10.1039/D0AN01803APublication
http://eprints.whiterose.ac.uk/167941/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 13 Nov 2020 14:37
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/774

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