Evidence map›Paper›PMID 31785579›Full record

ArticleMolecular therapy. Nucleic acids2019

Prognostic Potential of Alternative Splicing Markers in Endometrial Cancer.

Qian Wang, Teng Xu, Yu Tong, Jianbo Wu, Weijian Zhu, Zhongqiu Lu, Jianchao Ying

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2019. 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
0.8field-weighted citation impact, top 28% 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, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Novel miRNA markers for the diagnosis and prognosis of endometrial cancer.Journal of cellular and molecular medicine · 2020
    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

7 authors at 3 institutions in 1 country.

Qian WangDepartment of Clinical Laboratory, Wenzhou People's Hospital, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China.
Teng XuResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China; Institute of Translational Medicine, Baotou Central Hospital of Inner Mogolia Medical University, Baotou, China.
Yu TongDepartment of Clinical Laboratory, Wenzhou People's Hospital, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China.
Jianbo WuCentral Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Weijian ZhuCentral Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhongqiu LuInstitute of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: lzq640815@163.com.
Jianchao YingCentral Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Institute of Emergency Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: yingjc@wmu.edu.cn.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CNShanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing (AS), an important post-transcriptional regulatory mechanism that regulates the translation of mRNA isoforms and generates protein diversity, has been widely demonstrated to be associated with oncogenic processes. In this study, we systematically analyzed genome-wide AS patterns to explore the prognostic implications of AS in endometrial cancer (EC). A total of 2,324 AS events were identified as being associated with the overall survival of EC patients, and eleven of these events were further selected using a random forest algorithm. With the implementation of a generalized, boosted regression model, a prognostic AS model that aggregated these eleven markers was ultimately established with high performance for risk stratification in EC patients. Functional analysis of these eleven AS markers revealed various potential signaling pathways implicated in the progression of EC. Splicing network analysis demonstrated the notable correlation between the expression of splicing factors and AS markers in EC and further determined eight candidate splicing factors that could be therapeutic targets for EC. Taken together, the results of this study present the utility of AS profiling in identifying biomarkers for the prognosis of EC and provide comprehensive insight into the molecular mechanisms involved in EC processes.

Indexed as

alternative splicingbiomarkerendometrial canceroverall survivalprognostic model

Identifiers

PMID31785579
PMCPMC6889075
OpenAlexW2985497126

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.