Evidence map›Paper›PMID 27494850›Full record

ArticleOncotarget2016

The 3'UTR signature defines a highly metastatic subgroup of triple-negative breast cancer.

Lei Wang, Xin Hu, Peng Wang, Zhi-Ming Shao

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. The Detection and Bioinformatic Analysis of Alternative 3International journal of molecular sciences · 2021
    Review
  6. Review
  7. Alternative polyadenylation: methods, mechanism, function, and role in cancer.Journal of experimental & clinical cancer research : CR · 2021
    Review
  8. Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. TC3A: The Cancer 3' UTR Atlas.Nucleic acids research · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

Lei WangDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
Xin HuDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
Peng WangKey Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China.
Zhi-Ming ShaoDepartment of Breast Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a highly heterogeneous disease with an aggressive clinical course. Prognostic models are needed to chart potential patient outcomes. To address this, we used alternative 3'UTR patterns to improve postoperative risk stratification. We collected 327 publicly available microarrays and generated the 3'UTR landscape based on expression ratios of alternative 3'UTR. After initial feature filtering, we built a 17-3'UTR-based classifier using an elastic net model. Time-dependent ROC comparisons and Kaplan-Meier analyses confirmed an outstanding discriminating power of our prognostic model for TNBC patients. In the training cohort, 5-year event-free survival (EFS) was 78.6% (95% CI 71.2-86.0) for the low-risk group, and 16.3% (95% CI 2.3-30.4) for the high-risk group (log-rank p<0.0001; hazard ratio [HR] 8.29, 95% CI 4.78-14.4), In the validation set, 5-year EFS was 75.6% (95% CI 68.0-83.2) for the low-risk group, and 33.2% (95% CI 17.1-49.3) for the high-risk group (log-rank p<0.0001; HR 3.17, 95% CI 1.66-5.42). In conclusion, the 17-3'UTR-based classifier provides a superior prognostic performance for estimating disease recurrence and metastasis in TNBC patients and it may permit personalized management strategies.

Indexed as

Computer Simulation3' Untranslated RegionsAdultAgedAged, 80 and overCohort StudiesFemaleHumansMiddle AgedNeoplasm MetastasisNeoplasm Recurrence, LocalPrecision MedicinePrognosisSurvival AnalysisTissue Array AnalysisTriple Negative Breast Neoplasms3' Untranslated Regions3′ untranslated regionalternative polyadenylationbiomarkerprognostic modelingtriple-negative breast cancer

Identifiers

PMID27494850
PMCPMC5312352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.