Blue Dot News

One story a day from the frontier of human knowledge.

Medicine ·

Medicine

New Test Could Help Detect Multiple Diseases from a Single Blood Sample

A low-cost test is being developed to analyze DNA methylation patterns in blood, potentially revealing a range of health issues.

Illustration: Blue Dot News

1 min read

Imagine being able to detect multiple diseases simultaneously from a simple blood test, without having to undergo invasive procedures or wait for lab results. This is the promise of a groundbreaking new technology developed by researchers Zeng W et al., who have made significant strides in creating a cost-effective method for analyzing cell-free DNA (cfDNA) methylomes.

Current methods focus on single clinical indications, targeting specific genomic loci, but this approach has limitations. The new technique, called MethylScan, offers a comprehensive view of health by capturing organ-specific methylation signatures from cfDNA. This allows for the simultaneous detection of multiple diseases, even when disease etiology is unclear or conventional biochemical diagnostics are unavailable. What's more, MethylScan has shown remarkable accuracy in detecting various cancers, including liver, lung, ovarian, and stomach cancers, with an impressive area under the receiver operating characteristic curve (AUROC) of 0.938.

So why does this matter? For one, it could revolutionize cancer screening and surveillance programs, enabling early detection and intervention for high-risk individuals. Moreover, it has the potential to identify organ abnormalities and predict disease risk from a simple blood test, opening up new avenues for preventive care and personalized medicine. The impact is vast, and the possibilities are endless – a future where health and disease are no longer shrouded in mystery, but illuminated by the power of science and innovation.

The people behind the work

  • Zeng W et al.

    Author

    Published in Proceedings of the National Academy of Sciences of the United States of America

Source: Proceedings of the National Academy of Sciences of the United States of America

Sources & Verification

Every statement in this story is drawn from the facts below. Each is linked to a primary or reputable source — follow any citation to check it for yourself.

  1. Plasma cell-free DNA (cfDNA), originating from multiple organs, holds significant potential for noninvasive diagnostics and prognostics. Proceedings of the National Academy of Sciences of the United States of America
  2. Current cfDNA methylation assays primarily focus on single clinical indications by targeting specific genomic loci. Proceedings of the National Academy of Sciences of the United States of America
  3. In contrast, comprehensive profiling of cfDNA methylome can enable simultaneous detection of multiple diseases by capturing organ-specific methylation signatures, thereby offering a holistic view of health, when disease etiology is unclear or when conventional biochemical diagnostics are unavailable. Proceedings of the National Academy of Sciences of the United States of America
  4. However, deep sequencing required for sensitive detection of methylation abnormalities remains prohibitively expensive, limiting widespread clinical use. Proceedings of the National Academy of Sciences of the United States of America
  5. To overcome this barrier, we developed MethylScan , a highly cost-effective approach for cfDNA methylome sequencing. Proceedings of the National Academy of Sciences of the United States of America
  6. We demonstrated its broad clinical utility in a cohort of 1,061 individuals across diverse applications, including multicancer detection in general population, liver cancer surveillance in high-risk individuals, liver disease classification, identification of organ abnormalities, and race prediction from cfDNA. Proceedings of the National Academy of Sciences of the United States of America
  7. In multicancer detection (liver, lung, ovarian, and stomach cancers), MethylScan achieved an area under the receiver operating characteristic curve (AUROC) of 0.938 (95% CI: 0.920 to 0.954), with a sensitivity of 63.3% (95% CI: 58.9 to 67.9%) at 98.0% specificity for all cancer stages. Proceedings of the National Academy of Sciences of the United States of America
  8. For early-stage cancers, the AUROC was 0.916 (95% CI: 0.890 to 0.940), with 55.3% sensitivity (95% CI: 49.1 to 62.1%) at the same specificity. Proceedings of the National Academy of Sciences of the United States of America

Part of the Blue Dot News 2026 retrospective — an archive reconstructed automatically from the published scientific record. The science is real and cited above; this is not original daily reporting, and it is deliberately kept out of the live news feed.

← All stories