Evidence map›Paper›PMID 42818230›Full record

ArticlebioRxiv : the preprint server for biology2026

FFPE-CUTAC: A Single Assay, Multiple Layers.

Yiyang Niu, Qunzhi Xu, Chun Yin Mak, Yiling Xu, Aditya Parmar, Alex Zevin, Nadiya Khyzha, Ronald Paranal, Eric Holland, Kami Ahmad and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yiyang NiuDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Qunzhi XuDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Chun Yin MakDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yiling XuBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Aditya ParmarDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Alex ZevinGenomics and Bioinformatics Core, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Nadiya KhyzhaBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Ronald ParanalBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Eric HollandHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Kami AhmadBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.ORCID 0000-0001-8572-6182
Steven HenikoffBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.ORCID 0000-0002-7621-8685
Ye ZhengDepartment of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-8806-2761

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Bridging the gap: joint modeling of single-cell 1D and 3D genomicsR00HG012797 · NHGRI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YE ZHENG · 2024 to 2026
$747k
NCI NIH HHS P30 CA016672NHGRI NIH HHS R00 HG012797
6 · The paper itself

Abstract

Background: Archival biobanks of formalin-fixed paraffin-embedded (FFPE) specimens represent a vast and underused resource for retrospective molecular studies linked to clinical follow-up. However, fixation-induced chemical modification and nucleic acid fragmentation limit scalable genomic and transcriptomic profiling. FFPE-CUTAC (Cleavage Under Targeted Accessible Chromatin) is an RNA polymerase II-targeted DNA assay specifically designed to profile regulatory activity in FFPE tissue. Here, we assess its archival robustness, information content, compatibility with RNA-seq, and ability to recover copy-number alterations. Results: In meningioma and breast cancer cohorts, we benchmarked FFPE-CUTAC against matched fresh-frozen RNA-seq, FFPE RNA-seq and FFPE whole-genome sequencing. For FFPE specimens spanning up to 25 years, FFPE-CUTAC showed no systematic collection-year-associated decline in library yield or signal-quality metrics. In contrast, FFPE RNA-seq is more affected by the FFPE tissue degradation and specimen age on read composition, gene-body coverage, and gene detection. By measuring RNA polymerase II occupancy on chromatin rather than mature RNA abundance, FFPE-CUTAC is less constrained by transcript half-life, polyadenylation or transcript-capture design. FFPE-CUTAC extends beyond gene regions to non-coding regulatory elements, while the shared gene-level signals supported its integration with existing RNA-seq cohorts for large-scale, long-term clinical association study. FFPE-CUTAC libraries also retain DNA dosage information and can be used to recover chromosome-arm gain, loss and intact states with 96% concordance to matched whole-genome sequencing. Conclusions: By converting routinely preserved pathology sections into integrated regulatory and copy-number profiles, FFPE-CUTAC provides a practical foundation for constructing clinically annotated disease maps to support molecular stratification, prognostic modeling and treatment-association studies.

Indexed as

Chromatin profilingCopy-number alterationsCross-modality comparison and integrationFFPE-CUTACFormalin-fixed paraffin-embedded tissueRNA Polymerase IITranscriptional regulation

Identifiers

PMID42818230
PMCPMC13622178

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.