Evidence map›Paper›PMID 38978021›Full record

ArticleBMC genomic data2024

Constructing lncRNA-miRNA-mRNA networks specific to individual cancer patients and finding prognostic biomarkers.

Shulei Ren, Wook Lee, Byungkyu Park, Kyungsook Han

Abstract read
In one paragraph

Article in BMC genomic data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. MetaCancerDB: a database of site-specific RNA-miRNA correlations in cancer metastasis.Database : the journal of biological databases and curation · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. LncRNAs in oncogenic microenvironment: from threat to therapy.Frontiers in cell and developmental biology · 2024
    Review
  10. 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

4 authors.

Shulei RenDepartment of Computer Engineering, Inha University, 22212, Incheon, South Korea.
Wook LeeDepartment of Computer Engineering, Inha University, 22212, Incheon, South Korea.
Byungkyu ParkDepartment of Computer Engineering, Inha University, 22212, Incheon, South Korea.
Kyungsook HanDepartment of Computer Engineering, Inha University, 22212, Incheon, South Korea. khan@inha.ac.kr.ORCID http://orcid.org/0000-0001-9900-6741

Funding

National Research Foundation of Korea 2020R1A2B5B01096299
6 · The paper itself

Abstract

backgroundThe competitive endogenous RNA (ceRNA) hypothesis suggests that microRNAs (miRNAs) mediate a regulatory relation between long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) which share similar miRNA response elements (MREs) to bind to the same miRNA. Since the ceRNA hypothesis was proposed, several studies have been conducted to construct a network of lncRNAs, miRNAs and mRNAs in cancer. However, most cancer-related ceRNA networks are intended for representing a general relation of RNAs in cancer rather than for a patient-specific relation. Due to the heterogeneous nature of cancer, lncRNA-miRNA-mRNA interactions can vary in different patients.

resultsWe have developed a new method for constructing a ceRNA network of lncRNAs, miRNAs and mRNAs, which is specific to an individual cancer patient and for finding prognostic biomarkers consisting of lncRNA-miRNA-mRNA triplets. We tested our method on extensive data sets of three types of cancer (breast cancer, liver cancer, and lung cancer) and obtained potential prognostic lncRNA-miRNA-mRNA triplets for each type of cancer.

conclusionsAnalysis of expression patterns of the RNAs involved in the triplets and survival rates of cancer patients revealed several interesting findings. First, even for the same cancer type, prognostic lncRNA-miRNA-mRNA triplets can be different depending on whether lncRNA and mRNA show opposite or similar expression patterns. Second, prognostic lncRNA-miRNA-mRNA triplets are often more predictive of survival rates than RNA pairs or individual RNAs. Our approach will be useful for constructing patient-specific lncRNA-miRNA-mRNA networks and for finding prognostic biomarkers from the networks.

Indexed as

Biomarkers, TumorGene Regulatory NetworksMicroRNAsNeoplasmsRNA, Long NoncodingRNA, MessengerFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsPrognosisBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerCancerCompetitive endogenous RNAslncRNA-miRNA-mRNA networkPrognostic biomarker

Identifiers

PMID38978021
PMCPMC11232193

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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.