Plasma nucleosome profiling reports on tumor burden and molecular subtypes in small cell lung cancer

BACKGROUND Small-cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis and marked transcriptional heterogeneity that may drive distinct therapeutic vulnerabilities. Clinical translation of molecular subtyping has been limited by restricted access to tumor biopsies, particularly at relapse. METHODS We applied chromatin immunoprecipitation of cell-free nucleosomes carrying active histone modifications followed by sequencing (cfChIP-seq) to 441 plasma samples from individuals with advanced SCLC, other neuroendocrine carcinomas, or non-SCLC cancers, as well as from healthy controls. Plasma cfChIP-seq profiles were integrated with matched tumor transcriptomes from 73 samples, including 41 time-matched pairs. RESULTS cfChIP-seq captured the epigenetic and transcriptional landscape of tumor-derived cell-free DNA (cfDNA), including SCLC tissue- and cell-of-origin signatures. A quantitative cfChIP-seq–derived SCLC score tracked radiographic tumor burden and was associated with prognosis. Signals at promoters of lineage-defining transcription factor genes, including ASCL1 , NEUROD1 , POU2F3 , and ATOH1 , correlated strongly with matched tumor RNA expression and supported noninvasive inference of SCLC transcriptional subtypes directly from plasma. CONCLUSION Plasma cfChIP-seq provides a practical liquid biopsy platform for real-time assessment of tumor burden, tumor state, and molecular subtype in SCLC. These findings support further development of cfChIP-seq for precision monitoring and subtype-informed therapeutic stratification in SCLC. TRIAL REGISTRATION ClinicalTrials.gov NCT02484404, NCT02487095, NCT02769962, NCT03554473, NCT03896503, and NCT02146170. FUNDING Center for Cancer Research; Intramural Program of the NCI (ZIA BC 011793); European Research Council (ERC) (Adg no. 101019560 “cfChIP”).

Authors

Institutions

Publication Details

Journal
Journal of Clinical Investigation
Published
2026-09-30
DOI
https://doi.org/10.1172/jci202151
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Plasma nucleosome profiling reports on tumor burden and molecular subtypes in small cell lung cancer

William D. Figg, Hovav Nechushtan, Diana Roame, Nobuyuki Takahashi et al.
Journal of Clinical Investigation
Lung Cancer Research Studies
article

Plasma nucleosome profiling reports on tumor burden and molecular subtypes in small cell lung cancer

William D. Figg, Hovav Nechushtan, Diana Roame, Nobuyuki Takahashi, Albert Grinshpun, Nadav Hermoni, Gavriel Fialkoff, Jonathan E. Cohen, Mark Temper, Priya Suresh, Azzam Salah, Yakir Rottenberg, Shoshan Nevo, Samantha Nichols, Aviad Zick, Rajaâ El Meskini, Israa Sharkia, Michael Nirula, Nir Friedman, Myriam Maoz, Tamar Peretz, Zoe Weaver-Ohler, Parth Desai, Lőrinc Pongor, Jenia Gutin, Ronen Sadeh, Melissa Abel, Anish Thomas, Rajesh Kumar, Kanak Parmar, Linda Sciuto, Ayala Hubert, Arun Rajan
article en

Abstract

BACKGROUND Small-cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis and marked transcriptional heterogeneity that may drive distinct therapeutic vulnerabilities. Clinical translation of molecular subtyping has been limited by restricted access to tumor biopsies, particularly at relapse. METHODS We applied chromatin immunoprecipitation of cell-free nucleosomes carrying active histone modifications followed by sequencing (cfChIP-seq) to 441 plasma samples from individuals with advanced SCLC, other neuroendocrine carcinomas, or non-SCLC cancers, as well as from healthy controls. Plasma cfChIP-seq profiles were integrated with matched tumor transcriptomes from 73 samples, including 41 time-matched pairs. RESULTS cfChIP-seq captured the epigenetic and transcriptional landscape of tumor-derived cell-free DNA (cfDNA), including SCLC tissue- and cell-of-origin signatures. A quantitative cfChIP-seq–derived SCLC score tracked radiographic tumor burden and was associated with prognosis. Signals at promoters of lineage-defining transcription factor genes, including ASCL1 , NEUROD1 , POU2F3 , and ATOH1 , correlated strongly with matched tumor RNA expression and supported noninvasive inference of SCLC transcriptional subtypes directly from plasma. CONCLUSION Plasma cfChIP-seq provides a practical liquid biopsy platform for real-time assessment of tumor burden, tumor state, and molecular subtype in SCLC. These findings support further development of cfChIP-seq for precision monitoring and subtype-informed therapeutic stratification in SCLC. TRIAL REGISTRATION ClinicalTrials.gov NCT02484404, NCT02487095, NCT02769962, NCT03554473, NCT03896503, and NCT02146170. FUNDING Center for Cancer Research; Intramural Program of the NCI (ZIA BC 011793); European Research Council (ERC) (Adg no. 101019560 “cfChIP”).

Journal of Clinical InvestigationVol. 136(19)
National Institutes of Health (US), Hebrew University of Jerusalem (IL), Hadassah Medical Center (IL), Concern Foundation (US), Frederick National Laboratory for Cancer Research (US), National Cancer Institute (US), National Cancer Center Hospital East (JP), Center for Cancer Research (US), Robert H. Lurie Comprehensive Cancer Center of Northwestern University
Openalex Percentile: Top 15%
Lung Cancer Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.