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
2927 - Singapore Caregiver Quality Of Life Scale (SCQOLS): Turkish Validity and Reliability Study
Presenter: Nur Basak
Session: Poster Display session 3
Resources:
Abstract
5066 - Screening for Psicosocial Distress in recently diagnosed cancer patients
Presenter: Eva Baillès
Session: Poster Display session 3
Resources:
Abstract
6074 - Socio-demographic characteristics and quality of life analysis of cancer survivors followed at a Primary Care Center.
Presenter: Begona Grana Suarez
Session: Poster Display session 3
Resources:
Abstract
5129 - The adhesion in the screening measures in carrying patients of breast cancer and ovary hereditary and the relationship with the psychological aspects
Presenter: Melinda Concepcion
Session: Poster Display session 3
Resources:
Abstract
5635 - Assessment of emotional discomfort of oncological patients in the first nursing visit at Donostia University Hospital
Presenter: Elena Uranga
Session: Poster Display session 3
Resources:
Abstract
858 - A systematic review and meta-analysis of the distress thermometer for the screening of distress in Chinese patients with cancer
Presenter: Hui Hui Sun
Session: Poster Display session 3
Resources:
Abstract
4475 - Pharmacist and Nurse (PN) Led Melanoma Immunotherapy Clinic: Patient Experience Survey
Presenter: Dharmisha Chauhan
Session: Poster Display session 3
Resources:
Abstract
1871 - Phone Triage & Acute Review Clinics: The emerging role of the Oncology Specialist Nurse
Presenter: Fiona Barrett
Session: Poster Display session 3
Resources:
Abstract
5193 - Patient reported outcomes during immunotherapy: symptom burden in daily clinical practice
Presenter: José Koldenhof
Session: Poster Display session 3
Resources:
Abstract
2453 - Factors related to hospital length of stay, re-admissions and unplanned care for patients with cancer, an on-going study
Presenter: Helena Ullgren
Session: Poster Display session 3
Resources:
Abstract