Evidence map›Paper›PMID 32128213›Full record

ArticleBiomarker research2020

LncRNA profile study reveals a seven-lncRNA signature predicts the prognosis of patients with colorectal cancer.

Rui Huang, Lian Zhou, Yue Chi, Haibo Wu, Lei Shi

Abstract read
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Article in Biomarker research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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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

18 citing papers in PubMed.

  1. Article
  2. Current issues in molecular biology · 2025
    Article
  3. Review
  4. 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
  5. Article
  6. Article
  7. Article
  8. Identification and Validation of a Novel Prognostic Gene Model for Colorectal Cancer.Computational and mathematical methods in medicine · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Artificial Intelligence Applied toFrontiers in immunology · 2020
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rui Huang1School of Life Sciences, Chongqing University, Chongqing, 400044 People's Republic of China.
Lian Zhou2Chongqing University Cancer Hospital, Chongqing, 400044 People's Republic of China.
Yue Chi1School of Life Sciences, Chongqing University, Chongqing, 400044 People's Republic of China.
Haibo Wu1School of Life Sciences, Chongqing University, Chongqing, 400044 People's Republic of China.
Lei Shi1School of Life Sciences, Chongqing University, Chongqing, 400044 People's Republic of China.ORCID 0000-0002-7995-5664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of colorectal cancer (CRC) is still challenging to evaluate or predict. Recently, long non-coding RNAs (lncRNAs) have been found to play an important role in tumorigenesis and prognosis, however, few lncRNAs have been identified in CRC progression. We aimed to establish a lncRNA signature to improve prognosis prediction of CRC.

methodsIn the present study, we profiled lncRNA expression with a lncRNA-mining approach in two CRC data sets from Gene Expression Ominus (GEO) (GSE39582,

resultsA seven-lncRNA signature was established to predict prognosis of CRC patients. The prognostic value of this signature was verified in the training group, internal validation group and external validation cohort, respectively. Receiver operating characteristic (ROC) analysis suggested a powerful discrimination ability of the seven-gene signature. Finally, Cox regression analyzed this signature as an independent influencing factor and subsequent pathway or network analysis implicated a potential mechanism of these lncRNAs.

conclusionsIn summary, the seven-lncRNA signature we identified can effectively classify patients. This risk score model could serve as an independent biomarker to predict prognosis of CRC patients.

Indexed as

BiomarkerColorectal cancerLncRNAPrognosisRisk score

Identifiers

PMID32128213
PMCPMC7047379

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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.