Alteration of the Exhaled Volatile Organic Compound Pattern in Colorectal Cancer Patients after Intentional Curative Surgery—A Prospective Pilot Study

Author:

Hanevelt Julia1ORCID,Schoenaker Ivonne J. H.2ORCID,Brohet Richard M.3,Schrauwen Ruud W. M.4,Baas Frederique J. N.1,Tanis Pieter J.56,van Westreenen Henderik L.7ORCID,de Vos tot Nederveen Cappel Wouter H.1

Affiliation:

1. Department of Gastroenterology and Hepatology, Isala, Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands

2. Isala Oncology Center, Isala, Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands

3. Department of Epidemiology and Statistics, Isala, Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands

4. Department of Gastroenterology and Hepatology, Bernhoven, Nistelrodeseweg 10, 5406 PT Uden, The Netherlands

5. Department of Surgery, University Medical Center Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands

6. Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands

7. Department of Surgery, Isala, Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands

Abstract

As current follow-up modalities for colorectal carcinoma (CRC) have restricted sensitivity, novel diagnostic tools are needed. The presence of CRC changes the endogenous metabolism, resulting in the release of a specific volatile organic compounds (VOC) pattern that can be detected with an electronic nose or AeonoseTM. To evaluate the use of an electronic nose in the follow-up of CRC, we studied the effect of curative surgery on the VOC pattern recognition using AeonoseTM. A prospective cohort study was performed, in which 47 patients diagnosed with CRC were included, all of whom underwent curative surgical resection. Breath testing was performed before and after surgery using the AeonoseTM. A machine learning model was developed by discerning between the 94 pre-and postoperative breath samples. The training model differentiated between the pre-and postoperative CRC breath samples with a sensitivity and specificity of 0.78 (95%CI 0.61–0.90) and 0.73 (95%CI 0.56–0.86), respectively, with an accuracy of 0.76 (95%CI 0.66–0.85), and an area under the curve of 0.79 (95%CI 0.68–0.89). The internal validation of the test set resulted in an accuracy of 0.75 (95%CI 0.51–0.91) and AUC of 0.82 (95%CI 0.61–1). In conclusion, our results suggest that the VOC pattern of CRC patients is altered by curative surgery in a short period, indicating that the exhaled VOCs might be closely related to the presence of CRC. However, to use AeonoseTM as a potential diagnostic tool in the clinical follow-up of CRC patients, the performance of the models needs to be improved through further large-scale prospective research.

Funder

European Regional Development Fund

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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