Evidence map›Paper›PMID 30243491›Full record

ArticleEBioMedicine2018

Profiles of alternative splicing in colorectal cancer and their clinical significance: A study based on large-scale sequencing data.

Yongfu Xiong, Ying Deng, Kang Wang, He Zhou, Xiangru Zheng, Liangyi Si, Zhongxue Fu

Abstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
–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

84 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Intestinal Epithelial Cell-Related Alternative Splicing Events in Dextran Sodium Sulfate-Induced Acute Colitis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article

24 more citing papers are in PubMed but not listed here.

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

7 authors.

Yongfu XiongDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying DengDepartment of Cardiovascular, The First Branch, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Kang WangDepartment of Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
He ZhouDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiangru ZhengDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Liangyi SiDepartment of Cardiovascular, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address: Si_Liangyi@outlook.com.
Zhongxue FuDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Electronic address: fzx19990521@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlternative splicing (AS), as a potent and pervasive mechanism of transcriptional regulatory, expands the genome's coding capacity and involves in the initiation and progression of cancer. Systematic analysis of alternative splicing in colorectal cancer (CRC) is lacking and greatly needed.

methodsRNA-Seq data and corresponding clinical information of CRC cohort were downloaded from the TCGA data portal. Then, a java application, known as SpliceSeq, was used to evaluate the RNA splicing patterns and calculate the Percent Spliced In (PSI) value. Differently expressed AS events (DEAS) were identified based on PSI value between paired CRC and adjacent tissues. DEAS and its splicing networks were further analyzed by bioinformatics methods. Kaplan-Meier, Cox proportional regression and unsupervised clustering analysis were used to evaluate the association between DEAS and patients' clinical features.

resultsAfter strict filtering, a total of 34,334 AS events were identified, among which 421 AS events were found expressed differently. Parent genes of these DEAS play a important role in regulating CRC-related processes such as protein kinase activity (FDR<0.0001), PI3K-Akt signaling pathway (FDR = 0.0024) and p53 signaling pathway (FDR = 0.0143). 37 DEAS events were found to be associated with OS, and 68 DEAS events were found to be associated with DFS. Stratifying patients according to the PSI value of AT in CXCL12 and RI in CSTF3 formed significant Kaplan-Meier curves in both OS and DFS survival analysis. Unsupervised clustering analysis using DEAS revealed four clusters with distinct survival patterns, and associated with consensus molecular subtypes.

conclusionsLarge differences of AS events in CRC appear to exist, and these differences are likely to be important determinants of both prognosis and biological regulation. Our identified CRC-related AS events and uncovered splicing networks are valuable in deciphering the underlying mechanisms of AS in CRC, and provide clues of therapeutic targets to further validations.

Indexed as

Alternative SplicingGene Expression Regulation, NeoplasticBiomarkers, TumorColorectal NeoplasmsComputational BiologyEpistasis, GeneticFemaleGene Expression ProfilingGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMalePrognosisProportional Hazards ModelsTranscriptomeBiomarkers, TumorAlternative splicingCRCPrognosisRNA-Seq

Identifiers

PMID30243491
PMCPMC6197784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.