Abstract 5658
Background
A convenient and accurate method to improve the effectiveness of colorectal-cancer screening is still under exploration. This may be achieved by a diagnostic model based on 5-hydroxymethylcytosine (5-hmC).
Methods
We collected peripheral venous blood from 285 colorectal cancer patients and 285 healthy people at Zhongshan Hospital, Shanghai. The 5-hmC level of each gene locus in circulating-free DNA (cfDNA) was detected using a highly sensitive sequencing method. Of 285 subjects, 178 in each group were randomly selected as training set. The first 100 gene loci with the most significant difference of 5-hmC level were selected for establishing a diagnostic model (Logistic regression model) based on machine-learning method. The rest subjects in each group were used as validating set to validate this model. Further, we analysed the influence of several clinicopathological factors on 5-hmC level.
Results
In training set, the comprison of the 5-hmC level suggested that the expression of 5-hmC in cfDNA was significantly different between the two groups. Of the 100 gene loci, 35 were included in the model. In internal validation, the sensitivity and specificity of the model were 88.8% and 89.9%, respectively. While the sensitivity and specificity 81.3% and 89.7%, respectively, in external validation using the validating set. The area under ROC curve of external validation was 0.946. For colorectal cancer stages I-IV, the diagnostic sensitivities were 78.7%, 81.9%, 88.2% and 95.6%, respectively. We also found that age, gender, Ras status or the site of primary tumor had no significant effect on the expression of 5-hmC. However, there was a statistically difference of 5-hmC level between stage I-III and stage IV.
Conclusions
Our study identified the gene loci with significantly different 5-hmC level between colorectal cancer patients and healthy people, then we established a diagnostic model of colorectal cancer with high sensitivity and specificity. However, the utility of the model still need further verification in large-scale screening experiments.
Clinical trial identification
NCT03599947 09/16/2018.
Editorial acknowledgement
Shanghai Yibien Gene Technology Co., Ltd. Provides Testing Platform.
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1058 - Assessment of CPS+EG, Neo-Bioscore and modified Neo-Bioscore in breast cancer patients treated with preoperative systemic therapy: a multicenter cohort study
Presenter: LING XU
Session: Poster Display session 2
Resources:
Abstract
1156 - The concordance of treatment decision guided by Oncotype and the PREDICT tool in early stage breast cancer
Presenter: Hadar Goldvaser
Session: Poster Display session 2
Resources:
Abstract
3447 - Influence of first treatment delay on survival among breast cancer subtypes
Presenter: Irene Zarcos Pedrinaci
Session: Poster Display session 2
Resources:
Abstract
3505 - Clinical features of early-stage (I-III) triple-negative breast cancer (TNBC) patients with tumors exhibiting low-overall change in molecular profile after neoadjuvant therapy.
Presenter: Nour Abuhadra
Session: Poster Display session 2
Resources:
Abstract
5442 - Meta-analysis in HER2+ early breast cancer therapies and cost-effectiveness in a Brazilian perspective
Presenter: Marcos Magalhaes
Session: Poster Display session 2
Resources:
Abstract
1570 - Anti-mullerian hormone (AMH) levels and antral follicle counts (AFC) may predict ovarian reserves before systemic chemotherapy (SC) in women with breast cancer(BC); a prospective clinical study
Presenter: Cetin Ordu
Session: Poster Display session 2
Resources:
Abstract
2698 - Prognosis of selected triple negative apocrine breast cancer patients who did not receive adjuvant chemotherapy.
Presenter: Giuseppe Cancello
Session: Poster Display session 2
Resources:
Abstract
3104 - Novel Blood Based Circulating Tumor Cell Biomarker For Breast Cancer Detection
Presenter: Chun-Yu Liu
Session: Poster Display session 2
Resources:
Abstract
4631 - Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response of ER-Positive HER2-Negative Breast Cancer Patients to Neo-Adjuvant Chemotherapy
Presenter: Claudia Mazo
Session: Poster Display session 2
Resources:
Abstract
4632 - Impact of menopause status on breast cancer outcomes and amenorrhea incidence during adjuvant tailored dose dense chemotherapy
Presenter: Andri Papakonstantinou
Session: Poster Display session 2
Resources:
Abstract