Research Data Leeds Repository

Citation

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 Engineering and Physical Sciences > School of Physics and Astronomy Faculty of Medicine and Health > School of Medicine
Related resources:	Location Type https://doi.org/10.1039/D0AN01803A Publication https://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:	https://archive.researchdata.leeds.ac.uk/id/eprint/774
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Kirkby, Chloe J. https://orcid.org/0000-0002-5262-1568 University of Leeds https://ror.org/024mrxd33 ror Gala de Pablo, Julia https://orcid.org/0000-0003-0557-9632 University of Tokyo https://ror.org/024mrxd33 ror Tinkler-Hundal, Emma University of Leeds https://ror.org/024mrxd33 ror Wood, Henry M. https://orcid.org/0000-0003-3009-5904 University of Leeds https://ror.org/024mrxd33 ror Evans, Stephen D. https://orcid.org/0000-0001-8342-5335 University of Leeds https://ror.org/024mrxd33 ror West, Nicholas P. https://orcid.org/0000-0002-0346-6709 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Leeds Institute of Medical Research at St James’, Yorkshire Cancer Research, Medical Research Council, National Institute for Health Research, Engineering and Physical Sciences Research Council, Japan Society for the Promotion of Science Grant numbers: MR/M009084/1, EP/P023266/1 Publication date: 2020 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: ed12cjk@leeds.ac.uk Last Modified: 31 Oct 2024 12:02

Files

Documentation

readme [981B] readme [981B] readme [981B] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 981B

Data

Datasets [16MB] Datasets [16MB] Datasets [16MB] Security: Anyone File name: Datasets.zip Content type: Data Description: This folder contains the raw and pre-processed Raman spectra obtained from all patient biopsy samples. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 16MB

EMSC References [1MB] EMSC References [1MB] EMSC References [1MB] Security: Anyone File name: EMSC_references.zip Content type: Data Description: This folder contains the raw and pre-processed Raman spectra of the references used in the EMSC correction of the sample data. It includes the files bioref_datasetraw, bioref_datasetanalysed, paraffinref_datasetraw and paraffinref_datasetanalysed Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB