Evidence map›Paper›PMID 41329712›Full record

ArticleCancer research2026

Integration of Short- and Long-Read RNA Sequencing Enables the Discovery of Circular RNAs.

Sidi Z Swift, Jace Webster, Hung Mai, Ghofran Othoum, Li Lin, Amy Ly, Emily B Rozycki, Jacqueline L Mudd, Emily Coonrod, Ashna Agarwal and 2 more

Abstract read
In one paragraph

Article in Cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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.

Sidi Z SwiftDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-8375-9279
Jace WebsterDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-9396-5658
Hung MaiDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-8365-3688
Ghofran OthoumDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-0376-3244
Li LinDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0009-0002-1609-9685
Amy LyDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-4888-5026
Emily B RozyckiDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0009-0008-4651-0176
Jacqueline L MuddAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-7618-8765
Emily CoonrodDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0003-0877-6236
Ashna AgarwalDepartment of Biology, College of Arts and Sciences, Washington University in St. Louis, St. Louis, Missouri.ORCID 0009-0008-8429-0223
Ryan C FieldsAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-6176-8943
Christopher A MaherDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-9035-603X

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
MOLECULAR ONCOLOGY TRAINING GRANTT32CA113275 · NCI · WASHINGTON UNIVERSITY · PI Matthew J Walter · 2006 to 2026
$5.7M
The role of RAMS11 in colorectal cancer progression and treatment resistanceR01CA251539 · NCI · WASHINGTON UNIVERSITY · PI MAHER, CHRISTOPHER A · 2021 to 2025
$2.9M
Alvin J. Siteman Cancer Center (SCC)American Cancer Society (ACS) 130878-RSG-17-058-01-RMCAmerican Surgical Association Foundation (ASAF)National Cancer Institute (NCI) R01CA251539NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA251539NCI NIH HHS T32 CA113275School of Medicine, Washington University in St. Louis (WUSM) T32CA113275Sidney Kimmel Foundation (SKF)Society of Surgical Oncology (SSO)
6 · The paper itself

Abstract

Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select circRNAs contain circular open reading frames (cORF) and affect tumorigenesis through encoded small peptides. However, current circRNA detection approaches bias toward using short-read RNA sequencing (RNA-seq) for detecting circRNA backsplice junctions without reliably reconstructing complete circRNA sequences, inhibiting accurate cORF prediction. To address these challenges, we performed long-read sequencing to enrich for full-length circRNAs that could serve as a guide for short-read alignment. This approach "rescued" circRNAs eluding existing tools focused on circRNA detection from short reads and enabled the development of an open-source bioinformatics workflow that characterizes and rescues circRNAs by integrating short- and long-read RNA-seq: Characterizing CircRNAs by Integrative Sequencing (CHRIS). Application of the approach to colorectal cancer cell lines and patient samples revealed 6,445 noncanonical isoforms of known circRNAs, of which, 69 were altered during cancer metastasis. Validation experiments in colorectal cancer cell lines confirmed the endogenous expression of 11 high-confidence circRNAs rescued by CHRIS. Next, proteogenomic analysis using 67,326 circRNAs detected by CHRIS and mass spectrometry data from 261 patients with colorectal cancer from the Clinical Proteomic Tumor Analysis Consortium identified 6,848 peptides encoded by circRNAs, including 994 only detectable with long-read integration and 914 potential neoantigens. Overall, this research develops an approach that can facilitate circRNA detection and provide valuable resources for future circRNA tumor biology research. SIGNIFICANCE: A multiomic approach integrating long-read and short-read RNA sequencing enhances circRNA detection to offer biological and clinical insights into metastatic colorectal cancer. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI .

Indexed as

Biomarkers, TumorColorectal NeoplasmsRNA, CircularSequence Analysis, RNACell Line, TumorComputational BiologyHumansProteogenomicsRNA-SeqBiomarkers, TumorRNA, Circular

Identifiers

PMID41329712
PMCPMC12776659

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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.