Evidence map›Paper›PMID 33482911›Full record

ArticleGenome biology2021

Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer.

Kie Kyon Huang, Jiawen Huang, Jeanie Kar Leng Wu, Minghui Lee, Su Ting Tay, Vikrant Kumar, Kalpana Ramnarayanan, Nisha Padmanabhan, Chang Xu, Angie Lay Keng Tan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

55 citing papers in PubMed, 88 citations in OpenAlex.

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  4. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
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  13. Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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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 at 4 institutions in 1 country.

Kie Kyon HuangProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Jiawen HuangProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Jeanie Kar Leng WuProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Minghui LeeProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Su Ting TayProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Vikrant KumarProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Kalpana RamnarayananProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Nisha PadmanabhanProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Chang XuProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Angie Lay Keng TanProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Charlene ChanCancer Science Institute of Singapore, National University of Singapore, Singapore, 117599, Singapore.
Dennis KappeiCancer Science Institute of Singapore, National University of Singapore, Singapore, 117599, Singapore.
Jonathan GökeGenome Institute of Singapore, Singapore, 138672, Singapore.
Patrick TanProgramme in Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. gmstanp@duke-nus.edu.sg.ORCID 0000-0002-0179-8048
Duke-NUS Medical School · SGNational University of Singapore · SGGenome Institute of Singapore · SGSingHealth · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeregulated gene expression is a hallmark of cancer; however, most studies to date have analyzed short-read RNA sequencing data with inherent limitations. Here, we combine PacBio long-read isoform sequencing (Iso-Seq) and Illumina paired-end short-read RNA sequencing to comprehensively survey the transcriptome of gastric cancer (GC), a leading cause of global cancer mortality.

resultsWe performed full-length transcriptome analysis across 10 GC cell lines covering four major GC molecular subtypes (chromosomal unstable, Epstein-Barr positive, genome stable and microsatellite unstable). We identify 60,239 non-redundant full-length transcripts, of which > 66% are novel compared to current transcriptome databases. Novel isoforms are more likely to be cell line and subtype specific, expressed at lower levels with larger number of exons, with longer isoform/coding sequence lengths. Most novel isoforms utilize an alternate first exon, and compared to other alternative splicing categories, are expressed at higher levels and exhibit higher variability. Collectively, we observe alternate promoter usage in 25% of detected genes, with the majority (84.2%) of known/novel promoter pairs exhibiting potential changes in their coding sequences. Mapping these alternate promoters to TCGA GC samples, we identify several cancer-associated isoforms, including novel variants of oncogenes. Tumor-specific transcript isoforms tend to alter protein coding sequences to a larger extent than other isoforms. Analysis of outcome data suggests that novel isoforms may impart additional prognostic information.

conclusionsOur results provide a rich resource of full-length transcriptome data for deeper studies of GC and other gastrointestinal malignancies.

Indexed as

TranscriptomeAdaptor Proteins, Signal TransducingAlternative SplicingCell Line, TumorExonsGene Expression ProfilingGenomeHumansOpen Reading FramesProtein IsoformsSequence Analysis, RNAStomach NeoplasmsAdaptor Proteins, Signal TransducingERBIN protein, humanProtein IsoformsAlternative promoterAlternative splicingGastric cancerIso-seq

Identifiers

PMID33482911
PMCPMC7821541
OpenAlexW3125889104

What OpenQuestion holds

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LicenceCC BY
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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.