Evidence map›Paper›PMID 34792282›Full record

ArticleMolecular oncology2022

Dynamic expression of SNAI2 in prostate cancer predicts tumor progression and drug sensitivity.

Ying Z Mazzu, YuRou Liao, Subhiksha Nandakumar, Martin Sjöström, Lina E Jehane, Romina Ghale, Barani Govindarajan, Travis A Gerke, Gwo-Shu Mary Lee, Jian-Hua Luo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

14 authors at 7 institutions in 2 countries.

Ying Z MazzuDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-0265-6970
YuRou LiaoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Subhiksha NandakumarCenter for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Martin SjöströmDepartment of Radiation Oncology, University of California San Francisco, CA, USA.
Lina E JehaneDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Romina GhaleDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Barani GovindarajanDepartment of Pathology, Wayne State University, Detroit, MI, USA.
Travis A GerkeProstate Cancer Clinical Trials Consortium, New York, NY, USA.
Gwo-Shu Mary LeeDepartment of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA.
Jian-Hua LuoDepartment of Pathology, University of Pittsburgh School of Medicine, PA, USA.
Sreenivasa R ChinniDepartment of Pathology, Wayne State University, Detroit, MI, USA.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Felix Y FengDepartment of Radiation Oncology, University of California San Francisco, CA, USA.
Philip W KantoffDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USUniversity of California, San Francisco · USWayne State University · USDana-Farber Cancer Institute · USHarvard University · USProstate Cancer Research · GBUniversity of Pittsburgh · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Prostate cancer is a highly heterogeneous disease, understanding the crosstalk between complex genomic and epigenomic alterations will aid in developing targeted therapeutics. We demonstrate that, even though snail family transcriptional repressor 2 (SNAI2) is frequently amplified in prostate cancer, it is epigenetically silenced in this disease, with dynamic changes in SNAI2 levels showing distinct clinical relevance. Integrative clinical data from 18 prostate cancer cohorts and experimental evidence showed that gene fusion between transmembrane serine protease 2 (TMPRSS2) and ETS transcription factor ERG (ERG) (TMPRSS2-ERG fusion) is involved in the silencing of SNAI2. We created a silencer score to evaluate epigenetic repression of SNAI2, which can be reversed by treatment with DNA methyltransferase inhibitors and histone deacetylase inhibitors. Silencing of SNAI2 facilitated tumor cell proliferation and luminal differentiation. Furthermore, SNAI2 has a major influence on the tumor microenvironment by reactivating tumor stroma and creating an immunosuppressive microenvironment in prostate cancer. Importantly, SNAI2 expression levels in part determine sensitivity to the cancer drugs dasatinib and panobinostat. For the first time, we defined the distinct clinical relevance of SNAI2 expression at different disease stages. We elucidated how epigenetic silencing of SNAI2 controls the dynamic changes of SNAI2 expression that are essential for tumor initiation and progression and discovered that restoring SNAI2 expression by treatment with panobinostat enhances dasatinib sensitivity, indicating a new therapeutic strategy for prostate cancer.

Indexed as

Oncogene Proteins, FusionProstatic NeoplasmsSnail Family Transcription FactorsCell Line, TumorDasatinibHumansMalePanobinostatTumor MicroenvironmentDasatinibOncogene Proteins, FusionPanobinostatSNAI2 protein, humanSnail Family Transcription FactorsdasatinibDNA methylationHDAC inhibitorprostate cancerSNAI2TMPRSS2-ERG

Identifiers

PMID34792282
PMCPMC9251866
OpenAlexW3213891283

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.