Abstract 2036
Background
As the worldwide prevalence of colorectal cancer (CRC) is increasing, it is of vital importance to reduce its morbidity and mortality by early detection. Saliva is a noninvasively accessible fluid that potentially reflects both oral and systemic diseases. We report here the investigation and validation of salivary biomarkers to distinguish patients with CRC from those with polyps and healthy controls.
Methods
Saliva samples from subjects with CRC, polyps, and healthy controls were collected after 9 hours of fasting, and were split into training and validation data. Capillary electrophoresis-mass spectrometry-based metabolomics was used to quantify numerous hydrophilic metabolites.
Results
A total of 2,602 unstimulated saliva samples were collected from 231 subjects with CRC, 99 subjects with polyps, and 2272 subjects with healthy controls. The data were randomly divided into training (n = 1,301) and validation data (n = 1301). Biomarkers for distinguishing subjects with CRC from the others, as well as metabolites that normalize whole saliva concentration were identified. Analysis of these metabolites using machine learning-based artificial intelligence showed a high area under the receiver operating characteristic curve (AUC = 0.876; P < 0.0001) in the training dataset. This combination also showed high AUC values using the validation dataset (AUC = 0.861; P < 0.0001). Saliva samples were also collected multiple times from identical subjects and the robustness of these biomarkers were confirmed.
Conclusions
Combinations of salivary metabolites show high potential as a screening tool for CRC.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Hiroshi Kuwabara.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5822 - Greek nursing students experience facing death in clinical practice
Presenter: Maria Dimoula
Session: Poster Display session 3
Resources:
Abstract
2866 - HOPEVOL: Hospice care appropriate to the wishes and needs of patients in the palliative terminal phase.
Presenter: Merel van Klinken
Session: Poster Display session 3
Resources:
Abstract
829 - Mindfulness-based stress reduction in early palliative care for advanced cancer patients : an italian single-centre study. MINDEEP
Presenter: Emilia Gianotti
Session: Poster Display session 3
Resources:
Abstract
2702 - Optimising Inpatient Oncology Care
Presenter: Lisa Judge
Session: Poster Display session 3
Resources:
Abstract
1527 - Analysis on the Implementation Results of Family Sickbed for Oncology Patients in Dongshi Township Health Centers from 2015 to 2017
Presenter: Yayu Huang
Session: Poster Display session 3
Resources:
Abstract
2054 - Exploring needs for palliative care and quality of life for oncology patients with advanced disease who undergo radiotherapy
Presenter: Foteini Antonopoulou
Session: Poster Display session 3
Resources:
Abstract
5605 - Cytotoxic contamination in cancer care settings – Risks and safety awareness among cancer nurses
Presenter: Sandra Lundman Vikberg
Session: Poster Display session 3
Resources:
Abstract
5769 - Understanding Chemotherapy - group education sessions prior to commencing chemotherapy
Presenter: Aileen McHale
Session: Poster Display session 3
Resources:
Abstract
2620 - Estimation of HPQ-based absenteeism and presenteeism in cancer patients via ResearchKit
Presenter: Shunsuke Kondo
Session: Poster Display session 3
Resources:
Abstract
4705 - Identifying falls-related variables and risk factors in hospitalised cancer patients
Presenter: Maria Montserrat Martí Dillet
Session: Poster Display session 3
Resources:
Abstract