Abstract 5779
Background
Drug resistance is an important clinical problem affecting the prognosis of colorectal cancer patients with initially unresectable liver metastases. The role of 5-hydroxymethylcytosine (5-hmC) in this process is still unknown.
Methods
A single-center study was conducted to enroll colorectal cancer patients with initially unresectable liver metastases at Zhongshan Hospital, Shanghai. The 5-hmC levels of each gene locus in circulating-free DNA (cfDNA) were detected using a highly sensitive sequencing method before the patient received any conversion therapy. Eight weeks after conversion therapy, patients with disease progression according to RECIST 1.1 were defined as drug-resistant group, while patients with complete response, partial response and stable disease were defined as the drug-effective group. By using the gene loci with the most significant difference of 5-hmC level, a predictive model (Logistic regression) was established based on machine-learning method. Then, we validated the model.
Results
From June 2018 to January 2019, 35 patients were enrolled, including 20 patients in drug-effective group and 15 in drug-resistant group. The predictive model was established using the first 100 significantly different gene loci and 10 loci were included in the model. The internal validation results suggested that the sensitivity (predictive accuracy for drug-resistant patients) and specificity (predictive accuracy for drug-effective patients) were 86.7% and 95.0%, respectively, and the area under the ROC curve is 0.990.
Conclusions
Our study screened the gene loci with different 5-hmC level between drug-effective and drug-resistant colorectal cancer patients with initial unresectable liver metastases. Then we established a predictive model for the efficacy of conversion therapy, although this model is still being improved and validated by enrolling more subjects.
Clinical trial identification
NCT03679039 09/18/2018.
Editorial acknowledgement
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
5458 - Baseline characteristics from CLARINET FORTE: Evaluating lanreotide autogel (LAN) 120 mg every 14 days in patients with progressive pancreatic or midgut neuroendocrine tumours during a standard first-line LAN regimen.
Presenter: Philippe Ruszniewski
Session: Poster Display session 2
Resources:
Abstract
1234 - Analysis of PD-1/PD-L1 blockade biomarker and immune infiltrates in Gastroenteropancreatic neuroendocrine carcinoma
Presenter: Jia Zhang Xing
Session: Poster Display session 2
Resources:
Abstract
1517 - Diabetes Is Associated With Pancreatic Neuroendocrine Tumors Growth and Metastasis
Presenter: Zhiyao Fan
Session: Poster Display session 2
Resources:
Abstract
2145 - Investigation of the reclassification of G1/G2 pancreatic neuroendocrine neoplasms by WHO 2017 classification
Presenter: Takahiro Yokose
Session: Poster Display session 2
Resources:
Abstract
3134 - Treatment with somatostatin analogues after radiopeptide therapy
Presenter: Daria Handkiewicz Junak
Session: Poster Display session 2
Resources:
Abstract
2191 - Safety and Tolerability of Surufatinib in Western Patients with Solid Tumors
Presenter: Erika Hamilton
Session: Poster Display session 2
Resources:
Abstract
3253 - The impact of tumour absorbed dosimetry with survival outcomes after peptide receptor radionuclide therapy in metastatic neuroendocrine tumours.
Presenter: Rahul Ladwa
Session: Poster Display session 2
Resources:
Abstract
3581 - Opportunist and Serious Infections in Patients with Neuroendocrine Tumors Treated With Everolimus: A Multicenter Study of Real World Patients
Presenter: Carine Mauro
Session: Poster Display session 2
Resources:
Abstract
5374 - Establishment of Prognostic Nomogram Based on the Metastatic Lymph Nodes Ratio for Patients with Gastric Neuroendocrine Tumour
Presenter: yaobin lin
Session: Poster Display session 2
Resources:
Abstract
3951 - Neutrophil-lymphocyte ratio as an independent predictive factor in Neuroendocrine Neoplasms
Presenter: Sofia Ferreira
Session: Poster Display session 2
Resources:
Abstract