Evidence map›Paper›PMID 31470869›Full record

ArticleJournal of translational medicine2019

Integration analysis for novel lncRNA markers predicting tumor recurrence in human colon adenocarcinoma.

Fangyao Chen, Zhe Li, Changyu Deng, Hong Yan

Abstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Comprehensive analysis of ERCC3 prognosis value and ceRNA network in AML.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  4. Article
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  6. A review on the role of CASC11 in cancers.Frontiers in cell and developmental biology · 2023
    Review
  7. Novel insight into the functions of NInternational journal of oncology · 2022
    Review
  8. Article
  9. The role of MMolecular therapy. Nucleic acids · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. The lncRNAOncoTargets and therapy · 2020
    Article
  15. 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.

Fangyao ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta Xilu Road, Xi'an, 710061, Shaanxi, China.
Zhe LiFirst Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Xilu Road, Xi'an, 710061, Shaanxi, China.
Changyu DengDepartment of Preventive Medicine, Shantou University Medical College, 22 Xinling Road, Jinping District, Shantou, 515041, Guangdong, China.
Hong YanDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta Xilu Road, Xi'an, 710061, Shaanxi, China. yanhxjtu@hotmail.com.ORCID 0000-0002-8476-9428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous evidence has suggested that long non-coding RNA (lncRNA) acts an important role in tumor biology. This study focuses on the identification of novel prognostic lncRNA biomarkers predicting tumor recurrence in human colon adenocarcinoma.

methodsWe obtained the research data from The Cancer Genome Atlas (TCGA) database. The interaction among different expressed lncRNA, miRNA and mRNA markers between colon adenocarcinoma patients with and without tumor recurrence were verified with miRcode, starBase and miRTarBase databases. We established the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network based on the verified association between the selected markers. We performed the functional enrichment analysis to obtain better understanding of the selected lncRNAs. Then we use multivariate logistic regression to identify the prognostic lncRNA markers with covariates. We also generated a nomogram predicting tumor recurrence risk based on the identified lncRNA biomarkers and clinical covariates.

resultsWe included 12,727 lncRNA, 1881 miRNA and 47,761 mRNA profiling and clinical features for 113 colon adenocarcinoma patients obtained from the TCGA database. After filtration, we used 37 specific lncRNAs, 60 miRNAs and 148 mRNAs in the ceRNA network analysis. We identified five lncRNAs as prognostic lncRNA markers predicting tumor recurrence in colon adenocarcinoma, in which four of them were identified for the first time. Finally, we generated a nomogram illustrating the association between the identified lncRNAs and the tumor recurrence risk in colon adenocarcinoma.

conclusionsThe four newly identified lncRNA biomarkers might be potential prognostic biomarkers predicting tumor recurrence in colon adenocarcinoma. We recommend that further clinical and fundamental researches be conducted on the identified lncRNA markers.

Indexed as

AdenocarcinomaAgedBiomarkers, TumorColonic NeoplasmsDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMaleMicroRNAsNeoplasm Recurrence, LocalPrognosisRisk FactorsRNA, Long NoncodingBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerceRNA networkColon adenocarcinomaIntegrative analysislncRNATumor recurrence

Identifiers

PMID31470869
PMCPMC6717325

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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.