Integrated inference of cancer gene expression from cell-free plasma chromatin

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Authors: Gunsagar Singh Gulati, D. Vasseur, Rashad Nawfal, Shahabeddin Sotudian, Karl Semaan, Marc Eid, Ji-Heui Seo, Noa Phillips, John Canniff, Hunter Savignano, Surya B. Chhetri, Zhenjie Jin
+23 more Yukun Ou, Mohamed Amine Bani, Gwo‐Shu Mary Lee, Rachel Trowbridge, Ilana Epstein, Gabriella Rickards, Paulo Roberto Da Silva Cordeiro, Ze Zhang, Razane El Hajj Chehade, Brady James, Christophe Massard, Antoine Italiano, Antoine Hollebecque, Jean-Charles Soria, Fabrice André, Cécile Badoual, Joaquim Bellmunt, Harshabad Singh, Andrew J. Aguirre, Brian Matthew Wolpin, Toni K. Choueiri, Matthew L. Freedman, Matthew L. Freedman
Cited by: 2
References: 69

Abstract

ABSTRACT Gene expression is a defining determinant of tumor identity, behavior, and therapeutic response, yet remains challenging to measure noninvasively. Here, we introduce APEX (Associating Plasma Epigenomic features with eXpression), a framework for inferring expression from circulating cell-free chromatin. Trained on ∼270,000 gene–sample pairs from matched tumor RNA-seq and plasma cfChIP-seq across multiple cancers and validated on >15 unseen cancer subtypes, APEX accurately infers cancer gene expression across a range of tumor fractions and outperforms existing plasma-based approaches by integrating positional histone mark and DNA fragmentation patterns across promoters and gene bodies. Using plasma alone, APEX enables classification of prognostically relevant basal and classical pancreatic cancer subtypes and identifies plasma-inferred NECTIN4 expression as a biomarker of response to enfortumab vedotin in metastatic bladder cancer. Together, these findings establish APEX as a biopsy-free approach for profiling tumor transcriptional states and extend liquid biopsy beyond genomic alterations to clinically relevant gene expression programs.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Bladder and Urothelial Cancer Treatments Prostate Cancer Treatment and Research

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
19 February 2026
Language
EN
Document type
Preprint