Evidence map›Paper›PMID 30685833›Full record

ReviewStem cell reviews and reports2019

The Ambivalent Role of lncRNA Xist in Carcinogenesis.

Yung-Kang Chen, Yun Yen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

24 citing papers in PubMed, 27 citations in OpenAlex.

  1. FASEB bioAdvances · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Long Non-Coding RNAs in Venous Thromboembolism: Where Do We Stand?International journal of molecular sciences · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. The role of lncRNAs andFrontiers in cell and developmental biology · 2022
    Review
  17. Review
  18. Noncoding RNAs as potential biomarkers for DIPG diagnosis and prognosis: XIST and XIST-210 involvement.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Yung-Kang ChenSchool of Medicine, Taipei Medical University, Taipei, Taiwan.
Yun YenGraduate Institute of Medical Informatics, Taipei Medical University, Taipei, Taiwan. yyen@tmu.edu.tw.
Taipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNA (lncRNA) Xist has emerged as a key modulator in dosage compensation by randomly inactivating one of the X chromosomes in mammals during embryonic development. Dysregulation of X chromosome inactivation (XCI) due to deletion of Xist has been proven to induce hematologic cancer in mice. However, this phenomenon is not consistent in humans as growing evidence suggests Xist can suppress or promote cancer growth in different organs of the human body. In this review, we discuss recent advances of XCI in human embryonic stem cells and provide an explanation for the seemingly contradictory roles of Xist in development of human cancer.

Indexed as

Dosage Compensation, GeneticX Chromosome InactivationAnimalsChromosomes, Human, XHematologic DiseasesHuman Embryonic Stem CellsHumansMiceRNA, Long NoncodingRNA, Long NoncodingXIST non-coding RNACancer stem cellCompeting endogenous RNAExosomesLong non-coding RNAMicroRNAsXACT non-coding RNAX Chromosome inactivationXIST non-coding RNA

Identifiers

PMID30685833
OpenAlexW2911348960

What OpenQuestion holds

Textmetadata
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.