Evidence map›Paper›PMID 29970036›Full record

ArticleBMC cancer2018

Aberrant Promoter Methylation of YAP Gene and its Subsequent Downregulation in Indian Breast Cancer Patients.

Sumayya Abdul Sattar Real, Farah Parveen, Asad Ur Rehman, Mohammad Aasif Khan, Sankaravamasam Venkata Suryanarayan Deo, Nootan Kumar Shukla, Syed Akhtar Husain

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Molecular Implications ofInternational journal of molecular sciences · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Hippo-TAZ signaling is the master regulator of the onset of triple-negative basal-like breast cancers.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Frontiers in genetics · 2022
    Article
  15. Article
  16. Review
  17. 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 2 institutions in 1 country.

Sumayya Abdul Sattar RealDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Farah ParveenDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Asad Ur RehmanDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Mohammad Aasif KhanDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India.
Sankaravamasam Venkata Suryanarayan DeoDepartment of Surgical Oncology, All India Institute of Medical Science, New Delhi, 110608, India.
Nootan Kumar ShuklaDepartment of Surgical Oncology, All India Institute of Medical Science, New Delhi, 110608, India.
Syed Akhtar HusainDepartment of Biosciences, Jamia Millia Islamia, New Delhi, 110025, India. akhtarhusain2000@yahoo.com.ORCID http://orcid.org/0000-0001-5569-4941
Jamia Millia Islamia · INAll India Institute of Medical Sciences · IN

Funding

University Grants Commission F1-17.1/2015-16/MANF-2015-17-GUJ-65323
6 · The paper itself

Abstract

backgroundYAP, a potent oncogene and major downstream effector of the mammalian Hippo tumor suppressor pathway can act as either oncogene or tumor suppressor gene based on the type of tissue involved. Despite various studies, the role and mechanism through which YAP mediates its tumor suppressor or oncogenic effects are not yet fully understood. Therefore in the present study we aimed to investigate YAP at DNA, mRNA and protein level and also attempted to correlate our molecular findings with various clinicopathological variables of the patients.

methodsThe study comprised of a total 137 genetically unrelated women with sporadic breast cancer cases and normal adjacent tissues not infiltrated with tumor. Mutation of YAP gene was analyzed by automated DNA sequencing. YAP promoter methylation was studied using MS-PCR. Expression at mRNA and protein level was studied using qPCR and IHC respectively.

resultsIn our study YAP mRNA expression was found to be 8.65 ± 6.17 fold downregulated in 67.15% cases. The expression of YAP when analyzed at the protein level by IHC was found to be absent in 78.83% cases. Results from MS-PCR analysis showed that YAP promoter methylation plays an important role in declining the expression of YAP protein. The absence of YAP protein coincided with 86.60% methylated cases thereby showing a very strong correlation (p = 0.001). We also investigated YAP mutation at the major check point sites in the Hippo pathway and observed no mutation. A significant association was observed on correlating mRNA expression with clinical stages (p = 0.038) and protein expression with ER status (p = 0.018) among Indian breast cancer patients.

conclusionThe expression of YAP was found to be downregulated in response to aberrant promoter methylation. The downregulation of YAP are consistent with previous studies suggesting it to have a tumor suppressive role in breast cancer. We did not observe any mutation at the major check point sites in the Hippo pathway.

Indexed as

DNA MethylationPromoter Regions, GeneticAdaptor Proteins, Signal TransducingAdultAgedBreast NeoplasmsDown-RegulationFemaleHumansMiddle AgedMutationPhosphoproteinsRNA, MessengerTranscription FactorsYAP-Signaling ProteinsAdaptor Proteins, Signal TransducingPhosphoproteinsRNA, MessengerTranscription FactorsYAP1 protein, humanYAP-Signaling ProteinsDownregulationHippo pathwaymRNATumor suppressor geneYAP

Identifiers

PMID29970036
PMCPMC6031145
OpenAlexW2810712695

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.