Evidence map›Paper›PMID 41680848›Full record

ArticleHuman genomics2026

Exon skipping as a potential diagnostic biomarker in colorectal cancer: an integrated epigenomic-transcriptomic analysis​.

Lili Zhang, Jian Cui, Jinxin Shi, Jiahui Cai, Tianhan Sun, Gaoyuan Sun, Yifei Li, Hexin Li, Siyuan Xu, Xiaokun Tang and 4 more

Abstract read
In one paragraph

Article in Human genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Lili Zhang *Clinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.ORCID 0000-0002-3601-0150
Jian Cui *Department of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.ORCID 0000-0002-7024-3468
Jinxin Shi *Department of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.ORCID 0000-0003-0975-8806
Jiahui CaiClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Tianhan SunDepartment of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Gaoyuan SunClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yifei LiClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Hexin LiClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Siyuan XuClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Xiaokun TangClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Ziwei ChenDepartment of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Hongyuan CuiDepartment of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China. cuihongyuan3921@bjhmoh.cn.ORCID 0000-0003-4930-1608
Fei XiaoClinical Biobank, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China. xiaofei3965@bjhmoh.cn.ORCID 0000-0003-2054-901X
Gang ZhaoDepartment of General Surgery, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China. zhaogang7563@163.com.ORCID 0009-0000-9559-7513

Funding

National High Level Hospital Clinical Research Funding BJ-2024-153, BJ-2024-095
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third most common cancer globally. Alternative splicing contributes significantly to CRC tumorigenesis through aberrant transcript generation. However, the regulatory influence of RNA modifications on splicing remains poorly understood, largely due to technical difficulty. Nanopore direct RNA sequencing addresses this by enabling simultaneous detection of RNA modifications and Alternative splicing events (ASEs).

methodsWe conducted Nanopore direct RNA sequencing on paired tumor and normal tissues from surgical resections at Beijing Hospital. Differential putative RNA modification sites and ASEs linked to CRC were systematically identified. To validate the key findings, we utilized a large patient cohort from The Cancer Genome Atlas (TCGA) and predicted 3D protein structures with AlphaFold3. The predicted structures were then compared using TM-align. Regulatory relationships between RNA modifications and splicing were explored through predictive modeling of potential cis-regulatory pairs. The splicing events were also validated.

resultsThe MYH11-201 transcript of the MYH11 gene contains an additional exon (ENSE00001632812) compared to the MYH11-203 isoform. Both bioinformatic analysis and experimental validation confirmed frequent loss of this exon in tumor tissues. This finding was further validated in the TCGA cohort, demonstrating a significant preference for exon skipping in tumor tissues. These results suggest that the skipping of ENSE00001632812 is a promising candidate biomarker associated with CRC pathogenesis. Notably, this exon's PF00063 domain interacts with multiple tumor suppressor genes and oncogenes domains, suggesting its functional importance. The structures revealed pronounced rotational divergence within a putative C-terminal transmembrane domain-like region. Furthermore, we utilized Nanopore sequencing to explore the potential interplay between alternative splicing and RNA modifications. We implemented an integrated analytical workflow (available at https://github.com/lelelililele/Nanopore-ASEs-and-RNA-modification ) combining modification calling and splicing analysis tools to investigate RNA modification-related enzymes and splicing-related proteins in CRC.

conclusionsThis pilot study utilizes Nanopore direct RNA sequencing to characterize exon skipping events and RNA modifications in CRC. We identified the skipping of MYH11 exon ENSE00001632812 as a potential candidate for future diagnostic investigation. By integrating modification and splicing data, we highlighted putative regulatory pairs that warrant further functional exploration. While our findings offer new insights into CRC molecular mechanisms, extensive validation in independent large-scale cohorts and functional assays is essential to confirm the diagnostic utility and mechanistic roles of these targets.

Indexed as

Alternative SplicingBiomarkers, TumorColorectal NeoplasmsExonsEpigenomicsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNanopore SequencingSequence Analysis, RNABiomarkers, TumorAlternative splicing eventsColorectal cancerExon skippingNanopore sequencingRNA modifications

Identifiers

PMID41680848
PMCPMC13005353

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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.