Abstract 112P
Background
Hepatocellular carcinoma (HCC) is a hazardous malignancy that poses a significant threat due to its asymptomatic nature and lack of an effective detection method. Individuals with chronic liver inflammation, who have a high risk of developing HCC, therefore require a sensitive detection method.
Methods
In this work, we performed a meta-analysis utilizing The Cancer Genome Atlas pan-cancer methylation database to look for promising biomarkers for HCC identification. Our findings included a methylated CpG island among many areas with distinct methylation patterns in HCC. We developed a methylation-sensitive high-resolution melting (MS-HRM) technique to detect the methylation levels of these areas in cell-free DNA (cfDNA) recovered from HCC patients. The feasibility of the assay for early-stage HCC detection was investigated.
Results
The MS-HRM approach enabled us to precisely measure the methylation levels in cell-free DNA recovered from HCC patients. Significantly, our MS-HRM test outperformed pre-existing techniques, successfully identifying 40% of patients with early-stage HCC.
Conclusions
Our results support the use of MS-HRM analysis as a viable tool for HCC monitoring. Our innovative technique has potential for improving early identification and subsequent care of this life-threatening malignancy by delivering enhanced sensitivity in identifying early-stage HCC compared to conventional assays.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
Yonsei University.
Funding
Ministry of Science & ICT.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
146P - The prognosis value of heat-shock proteins in esophagogastric cancer: A systematic review and meta-analysis
Presenter: Eric Nakamura
Session: Cocktail & Poster Display session
Resources:
Abstract
148P - Identification of potential predictive biomarkers for ovarian cancer chemotherapy response
Presenter: Alsina Nurgalieva
Session: Cocktail & Poster Display session
Resources:
Abstract
149P - Rare RAS mutations are associated with recurrence patterns and recurrence-free survival in colon cancer: First results from Morocco
Presenter: Fatima Agy
Session: Cocktail & Poster Display session
Resources:
Abstract
151P - Development of a predictive model for response to neoadjuvant chemoradiation therapy of rectal cancer using the immunologic profile
Presenter: Eun Shin
Session: Cocktail & Poster Display session
Resources:
Abstract
152P - Biomarkers of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
Presenter: Cibele Masotti
Session: Cocktail & Poster Display session
Resources:
Abstract
153P - BRAF variants and therapy outcomes in melanoma
Presenter: Eftychia Chatziioannou
Session: Cocktail & Poster Display session
Resources:
Abstract
154P - The impact of proton pump inhibitors in the prognosis of patients with non-metastatic nasopharyngeal carcinoma
Presenter: João Barbosa Martins
Session: Cocktail & Poster Display session
Resources:
Abstract
155P - Use of machine learning for the identification of molecular biomarkers to predict response to neoadjuvant chemotherapy in locally advanced breast cancer patients
Presenter: María Del Río Pisula
Session: Cocktail & Poster Display session
Resources:
Abstract
156P - Molecularly driven therapy recommended by a molecular tumor board: Accessible option or privilege for a minority of patients? A single-center experience from the Czech Republic
Presenter: Michal Eid
Session: Cocktail & Poster Display session
Resources:
Abstract
157P - PCM4EU academy: An educational program for precision oncology
Presenter: Loic Verlingue
Session: Cocktail & Poster Display session
Resources:
Abstract