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pmid:32608553

Identification of functional long non-coding RNAs in gastric cancer by bioinformatics analysis.

Yang Li · Dongyang Ma · Tang Li · Yuan Yin

International journal of experimental pathology · 2020 doi:10.1111/iep.12350

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
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title
Identification of functional long non-coding RNAs in gastric cancer by bioinformatics analysis.
doi
10.1111/iep.12350
pmid
32608553
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[0]
Yang Li
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Dongyang Ma
[2]
Tang Li
[3]
Yuan Yin
journal
International journal of experimental pathology
year
2020
abstract
Long non-coding RNAs (lncRNAs) have been proven to play important roles in various cancers, including gastric cancer (GC). However, detailed knowledge about lncRNAs in GC is limited. Therefore we carried out an in-depth study of public data and found 83 differently expressed lncRNAs in GC. To further confirm the target genes of these lncRNAs, we constructed a co-expression network between lncRNAs and mRNAs and found three lncRNAs (MBNL1-AS1, HAND2-AS1 and MIR100HG) were at the core of the network. By coalition analysis of clinical information and the three lncRNAs' expression level from The Cancer Genome Atlas (TCGA) and GSE15459 data sets, we found MIR100HG could be a potential prognostic factor. Clinical samples showed patients with higher MIR100HG expression had poorer prognosis, and further experiments demonstrated that MIR100HG was associated with proliferation, migration and invasion of GC cells. Hopefully, MIR100HG might be considered as a novel prognostic factor and biomarker for GC.
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By coalition analysis of clinical information and the three lncRNAs’ expression level from The Cancer Genome Atlas (TCGA) and GSE15459 data sets, we found MIR100HG could be a potential prognostic factor.
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Clinical samples showed patients with higher MIR100HG expression had poorer prognosis, and further experiments demonstrated that MIR100HG was associated with proliferation, migration and invasion of GC cells.
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Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:32608553", "kind": "science-record", "revision": 3, "content_hash": "sha256:65f180f1b80286d2c96854089b60d8d148d1ed6377ca2edbcfc461d69d0eeb09", "created_at": "2026-11-01T17:33:49Z", "updated_at": "2026-11-01T21:23:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of functional long non-coding RNAs in gastric cancer by bioinformatics analysis.", "doi": "10.1111/iep.12350", "pmid": "32608553", "authors": ["Yang Li", "Dongyang Ma", "Tang Li", "Yuan Yin"], "journal": "International journal of experimental pathology", "year": 2020, "abstract": "Long non-coding RNAs (lncRNAs) have been proven to play important roles in various cancers, including gastric cancer (GC). However, detailed knowledge about lncRNAs in GC is limited. Therefore we carried out an in-depth study of public data and found 83 differently expressed lncRNAs in GC. To further confirm the target genes of these lncRNAs, we constructed a co-expression network between lncRNAs and mRNAs and found three lncRNAs (MBNL1-AS1, HAND2-AS1 and MIR100HG) were at the core of the network. By coalition analysis of clinical information and the three lncRNAs' expression level from The Cancer Genome Atlas (TCGA) and GSE15459 data sets, we found MIR100HG could be a potential prognostic factor. Clinical samples showed patients with higher MIR100HG expression had poorer prognosis, and further experiments demonstrated that MIR100HG was associated with proliferation, migration and invasion of GC cells. 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