Single‑drop liquid biopsy emerges
Researchers at Peking University reported a liquid‑biopsy platform that can detect disease signals from a single drop of blood using multi‑omics ultra‑sensitive analysis. The advance pushes the envelope on noninvasive diagnostics — but cytology teams will still be needed for specimen triage and for integrating morphologic context with molecular readouts. (icthealth.org)
The work appeared online in Nature on March 4, 2026 (DOI 10.1038/s41586-026-10224-0) and lists Aibin He and Jing Hongmei as co‑senior corresponding authors. (medicalxpress.com) The platform profiles histone marks H3K9ac, H3K27ac and H3K4me3 on circulating cell‑free chromatin and converts those signals into 18 integrated chromatin states (ICS) using a ChromHMM‑based framework. (wjw.beijing.gov.cn) cf‑EpiTracing integrates multimodal epigenomic features with machine‑learning classifiers (GLM and XGBoost reported) to infer tissue and cell‑type origins from plasma chromatin fragments. (genomeweb.com) The authors report classifier performance up to 97.6% in training cohorts and 92.2% in independent validation cohorts, and a reported true‑detection rate of 77.27% for colorectal adenoma in their test sets. (eurekalert.org) In hematologic applications the paper shows the method can distinguish B‑cell lymphoma subtypes (GCB vs ABC), detect mantle‑cell t(11;14) signals from plasma, and track follicular‑to‑DLBCL transformation, with ICS‑based prognostic signals outperforming R‑IPI in their cohorts. (wjw.beijing.gov.cn) The team observed stronger CD34‑positive plasma signals in diffuse large B‑cell lymphoma and interpreted that as a potential marker of bone‑marrow involvement in their cohorts. (eurekalert.org) The authors have published analysis code and pipelines on GitHub (ChromHMM, preprocessing, ML modules) and explicitly call for multi‑omic extension (DNA methylation, mutations, chromatin topology) and larger clinical validation studies to move toward clinical deployment. (github.com)
