Evidence map›Paper›PMID 30066920›Full record

ArticleOncology reports2018

Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma.

Hao-Tang Wei, Er-Na Guo, Xi-Wen Liao, Li-Sheng Chen, Jia-Lei Wang, Min Ni, Chi Liang

Abstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

7 authors.

Hao-Tang WeiDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China.
Er-Na GuoSchool of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Xi-Wen LiaoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Li-Sheng ChenDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China.
Jia-Lei WangDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China.
Min NiDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China.
Chi LiangDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to identify potential prognostic microRNA (miRNA) biomarkers for colon adenocarcinoma (COAD) prognostic prediction using the dataset of The Cancer Genome Atlas (TCGA). The genome‑wide miRNA sequencing dataset and corresponding COAD clinical information were downloaded from TCGA. Prognosis‑related miRNA screening was performed by genome‑wide multivariable Cox regression analysis and used for prognostic signature construction. Ten miRNAs (hsa‑mir‑891a, hsa‑mir‑6854, hsa‑mir‑216a, hsa‑mir‑378d‑1, hsa‑mir‑92a‑1, hsa‑mir‑4709, hsa‑mir‑92a‑2, hsa‑mir‑210, hsa‑mir‑940 and hsa‑mir‑887) were identified as prognostic miRNAs and used for further prognostic signature construction. The 10‑miRNA prognostic signature showed good performance in prognosis prediction (adjusted P<0.0001; adjusted hazard ratio, 4.580; 95% confidence interval, 2.783‑7.538). In the time‑dependent receiver operating characteristic analysis, the area under the curve was 0.735, 0.788, 0.806, 0.806, 0.775 and 0.900 for 1‑, 2‑, 3‑, 4‑, 5‑ and 10‑year COAD overall survival prediction, respectively. Comprehensive survival analysis suggested that the 10‑miRNA prognostic signature is an independent prognostic factor in COAD, with a better performance in COAD overall survival prediction than other traditional clinical parameters. Functional enrichment indicated that the corresponding target genes were significantly enriched in multiple biological processes and pathways, including regulation of cell proliferation, cell cycle, cell growth, and Wnt and transforming growth factor‑β signaling pathways. In conclusion, our present study identified a 10‑miRNA expression signature that may serve as a potential prognostic biomarker in COAD patients.

Indexed as

Gene Expression Regulation, NeoplasticGenome, HumanAdenocarcinomaAgedBiomarkers, TumorColonic NeoplasmsFemaleFollow-Up StudiesGene Expression ProfilingHumansMaleMicroRNAsPrognosisROC CurveSurvival RateBiomarkers, TumorMicroRNAs

Identifiers

PMID30066920
PMCPMC6111604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.