We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Early Tumor Detection by Analysis of Circulating Free DNA Methylation Patterns

By LabMedica International staff writers
Posted on 08 Apr 2020
Print article
Image: Cell-free DNA is isolated from blood samples drawn from a patient without cancer (top) or with cancer (bottom), and subjected to a targeted methylation sequencing assay. Sequencing results identifying methylated (red) or unmethylated (blue) CpG regions are fed into a machine-learning classifier that can identify the presence or absence of cancer, as well as identify the tissue of origin (Photo courtesy of Allen McCrodden, associate director, Creative Group of ProEd Communications)
Image: Cell-free DNA is isolated from blood samples drawn from a patient without cancer (top) or with cancer (bottom), and subjected to a targeted methylation sequencing assay. Sequencing results identifying methylated (red) or unmethylated (blue) CpG regions are fed into a machine-learning classifier that can identify the presence or absence of cancer, as well as identify the tissue of origin (Photo courtesy of Allen McCrodden, associate director, Creative Group of ProEd Communications)
A blood test that analyzes patterns of methylation in circulating free DNA was shown to be capable of simultaneously detecting and localizing more than 50 types of cancer.

It is a given that methods for early cancer detection, which would identify tumors when better outcomes could be expected and treatment would be less drastic, are urgently required.

In this regard, investigators from the Dana-Farber Cancer Institute (Boston, MA, USA) and the Mayo Clinic (Rochester, MN, USA) assessed the performance of targeted methylation analysis of circulating cell-free DNA (cfDNA) to detect and localize multiple cancer types across all stages of the disease.

For the study, the investigators utilized technology developed by GRAIL, Inc. (Menlo Park, CA, USA) to analyze 6,689 blood samples, including 2,482 from cancer patients and 4,207 from healthy controls. The patient samples represented more than 50 cancer types, including breast, colorectal, esophageal, gallbladder, bladder, gastric, ovarian, head and neck, lung, lymphoid leukemia, multiple myeloma, and pancreatic cancer.

Results revealed that the overall specificity of the analysis was 99.3% (only 0.7% of the results were false positives). The sensitivity of the assay for 12 cancers that account for nearly two-thirds of cancer fatalities in the United States was 67.3% (a third of the time the test returned a false negative result). Within this group, the sensitivity was 39% for patients with stage I cancer, 69% for those with stage II, 83% for those with stage III, and 92% for those with stage IV. The stage I-III sensitivity across all 50 cancer types was 43.9%. When cancer was detected, the test correctly identified the organ or tissue where the cancer originated in more than 90% of cases.

"Our previous work indicated that methylation-based tests outperform traditional DNA-sequencing approaches to detecting multiple forms of cancer in blood samples," said contributing author Dr. Geoffrey Oxnard, a medical oncologist at the Dana Farber-Cancer Institute. "The results of this study suggest that such assays could be a feasible way of screening people for a wide variety of cancers. Our results show that this approach to testing cell-free DNA in blood can detect a broad range of cancer types at virtually any stage of the disease, with specificity and sensitivity approaching the level needed for population-level screening, The test can be an important part of clinical trials for early cancer detection."

The study was published in the March 30, 2020, online edition of the journal Annals of Oncology.

Related Links:
Dana-Farber Cancer Institute
Mayo Clinic
GRAIL, Inc.


Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Respiratory Bacterial Panel
Real Respiratory Bacterial Panel 2
New
Community-Acquired Pneumonia Test
RIDA UNITY CAP Bac

Print article

Channels

Clinical Chemistry

view channel
Image: The research team has developed the uCR-Chip device to enhance kidney function testing (Photo courtesy of University of Manitoba)

Low-Cost Portable Screening Test to Transform Kidney Disease Detection

Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Delivers Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Pathology

view channel
Image: The UV absorbance spectrometer being used to measure the absorbance spectra of cell culture samples (Photo courtesy of SMART CAMP)

Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures

Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read more

Technology

view channel
Image: Schematic illustration of the chip (Photo courtesy of Biosensors and Bioelectronics, DOI: https://doi.org/10.1016/j.bios.2025.117401)

Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples

Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Sekisui Diagnostics UK Ltd.