Evidence map›Paper›PMID 31960204›Full record

ReviewDigestive diseases and sciences2020

Identification of MFI2-AS1, a Novel Pivotal lncRNA for Prognosis of Stage III/IV Colorectal Cancer.

Ruihan Luo, Jing Song, Wanfeng Zhang, Longke Ran

Abstract readReview
PubMed Publisher
In one paragraph

Review in Digestive diseases and sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Exploring the Key Signaling Pathways and ncRNAs in Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Potentials of long non-coding RNAs as biomarkers of colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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 at 1 institution in 1 country.

Ruihan LuoDepartment of Bioinformatics, Chongqing Medical University, Chongqing, China.
Jing SongDepartment of Bioinformatics, Chongqing Medical University, Chongqing, China.
Wanfeng ZhangDepartment of Bioinformatics, Chongqing Medical University, Chongqing, China.
Longke RanDepartment of Bioinformatics, Chongqing Medical University, Chongqing, China. ranlongke@cqmu.edu.cn.ORCID 0000-0001-5997-4051
Chongqing Medical University · CN

Funding

Natural Science Foundation of Chongqing cstc2018jcyjAX0019
6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) have been shown to play pivotal role in pathogenesis and prognosis of cancers. Identification of novel clinical biomarkers in advanced stage colorectal cancer (CRC) is warranted.

aimsTo identify potential lncRNAs associated with progression of stage III/IV CRC and illuminate regulatory mechanisms.

methodsDifferentially expressed lncRNAs, mRNAs and miRNAs (DElncRNAs, DEmRNAs, and DEmiRNAs) were extracted between stage III/IV CRC and normal tissues. We used DEGs to construct a ceRNA network and analyzed correlations between key lncRNAs and overall survivals (OS) of stage III/IV CRC patients. Weighted gene co-expression network analysis (WGCNA) was applied to a pivotal lncRNA. We conducted functional enrichment analysis on target genes and constructed lncRNA-TF-mRNA network by overlapping mRNAs co-expressed with the key lncRNA and target genes of transcriptional factors (TFs).

resultsA total of 26 DElncRNAs, 398 DEmiRNAs, 2155 DEmRNAs were identified. A ceRNA network was constructed with 16 lncRNAs, 20 miRNAs, and 59 mRNAs, in which MFI2-AS1 exhibited promising diagnostic efficiency. (AUC was 0.938.) MFI2-AS1 was negatively correlated to OS of stage III/IV CRC patients (P value < 0.05). KEGG analysis showed potential mRNA targets of MFI2-AS1 mainly involved in cell cycle and cytokine-cytokine receptor interaction. We identified 17 potential TFs of MFI2-AS1 and built a lncRNA-TF-mRNA network.

conclusionOur study provides novel insights into lncRNAs associated regulatory networks and reveals a promising lncRNA biomarker, MFI2-AS1, as an independent prognostic indicator and potential therapeutic target for CRC.

Indexed as

Colorectal NeoplasmsComputational BiologyGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMicroRNAsNeoplasm StagingPrognosisRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, MessengerCeRNA networkCo-expression analysisColorectal cancerLncRNAsPrognosis

Identifiers

PMID31960204
OpenAlexW2999679223

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.