Urine metabolomics as a predictor of patient tolerance and response to adjuvant chemotherapy in colorectal cancer

Dykstra,Mark  A.; Switzer,Noah; Eisner,Roman; Tso,Victor; Foshaug,Rae; Ismond,Kathleen; Fedorak,Richard; Wang,Haili

doi:10.3892/mco.2017.1407

November-2017 Volume 7 Issue 5

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November-2017 Volume 7 Issue 5

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Article Open Access

Urine metabolomics as a predictor of patient tolerance and response to adjuvant chemotherapy in colorectal cancer

Authors:
- Mark A. Dykstra
- Noah Switzer
- Roman Eisner
- Victor Tso
- Rae Foshaug
- Kathleen Ismond
- Richard Fedorak
- Haili Wang
View Affiliations / Copyright

Affiliations: Department of Surgery, University of Alberta, Edmonton, AB T6G‑2B7, Canada, Department of Medicine, University of Alberta, Edmonton, AB T6G‑2B7, Canada

Copyright: © Dykstra et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Pages: 767-770
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Published online on: September 1, 2017

https://doi.org/10.3892/mco.2017.1407
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Abstract

Colorectal cancer is the third leading cause of cancer-associated mortality in the western world. The ability to predict a patient's response to chemotherapy may be of great value for clinicians and patients when planning cancer treatment. The aim of the current study was to develop a urine metabolomics-based biomarker panel to predict adverse events and response to chemotherapy in patients with colorectal cancer. A retrospective chart review of patients diagnosed with stage III or IV colorectal cancer between 2008 and 2012 was performed. The exclusion criteria included chemotherapy for palliation and patients living outside of Alberta. Data was collected concerning the chemotherapy regimen, adverse events associated with chemotherapy, disease progression and recurrence and 5-year survival. Adverse events were subdivided as follows: Delays in treatment, dose reductions, hospitalizations and chemotherapy regime changes. Patients provided urine samples for analysis prior to any intervention. Nuclear magnetic resonance (NMR) spectra of urine samples were acquired. The 1H NMR spectrum of each urine sample was analyzed using Chenomx NMRSuite v7.0. Using machine learning, predictors were generated and evaluated using 10-fold cross-validation. Urine spectra were obtained for 62 patients. The best predictors resulted in area under the receiver operating characteristic curve values of: 0.542 for chemotherapy dose reduction, 0.612 for 5-year survival, 0.650 for cancer recurrence and 0.750 for treatment delay. Therefore, predictors were developed for response to and adverse events from chemotherapy for patients with colorectal cancer patients. The predictor for treatment delay has the most promise, and further studies will aid its refinement and improvement of its accuracy.

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Journals

International Journal of Molecular Medicine

International Journal of Oncology

Molecular Medicine Reports

Oncology Reports

Experimental and Therapeutic Medicine

Oncology Letters

Biomedical Reports

Molecular and Clinical Oncology

World Academy of Sciences Journal

International Journal of Functional Nutrition

International Journal of Epigenetics

Medicine International

Urine metabolomics as a predictor of patient tolerance and response to adjuvant chemotherapy in colorectal cancer

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