Evidence map›Paper›PMID 27225481›Full record

ReviewJournal of experimental & clinical cancer research : CR2016

Yin Yang 1 is associated with cancer stem cell transcription factors (SOX2, OCT4, BMI1) and clinical implication.

Samantha Kaufhold, Hermes Garbán, Benjamin Bonavida

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Targeted Cancer Stem Cell Therapeutics: An Update.Current topics in medicinal chemistry · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

25 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Samantha KaufholdDepartment of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Hermes GarbánNantBioScience, Inc, NantWorks, LLC & California NanoSystems Institute (CnSI), University of California Los Angeles, Los Angeles, CA, 90095, USA. hgarban@ucla.edu.
Benjamin BonavidaDepartment of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA. bbonavida@mednet.ucla.edu.
University of California, Los Angeles · USNantWorks (United States) · US

Funding

Anti-TfR IgG3-Av: A New Drug Against Multiple MyelomaR01CA107023 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PENICHET, MANUEL L · 2005 to 2009
$1.7M
RKIP regulation as a potential for tumor suppressionR01CA133479 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI YEUNG, KAM C · 2009 to 2010
$575k
NCI NIH HHS CA05715213S1NCI NIH HHS CA107023-02S1NCI NIH HHS R01 CA133479NCI NIH HHS R01-CA133479
6 · The paper itself

Abstract

The transcription factor Yin Yang 1 (YY1) is frequently overexpressed in cancerous tissues compared to normal tissues and has regulatory roles in cell proliferation, cell viability, epithelial-mesenchymal transition, metastasis and drug/immune resistance. YY1 shares many properties with cancer stem cells (CSCs) that drive tumorigenesis, metastasis and drug resistance and are regulated by overexpression of certain transcription factors, including SOX2, OCT4 (POU5F1), BMI1 and NANOG. Based on these similarities, it was expected that YY1 expression would be associated with SOX2, OCT4, BMI1, and NANOG's expressions and activities. Data mining from the proteomic tissue-based datasets from the Human Protein Atlas were used for protein expression patterns of YY1 and the four CSC markers in 17 types of cancer, including both solid and hematological malignancies. A close association was revealed between the frequency of expressions of YY1 and SOX2 as well as SOX2 and OCT4 in all cancers analyzed. Two types of dynamics were identified based on the nature of their association, namely, inverse or direct, between YY1 and SOX2. These two dynamics define distinctive patterns of BMI1 and OCT4 expressions. The relationship between YY1 and SOX2 expressions as well as the expressions of BMI1 and OCT4 resulted in the classification of four groups of cancers with distinct molecular signatures: (1) Prostate, lung, cervical, endometrial, ovarian and glioma cancers (YY1(lo)SOX2(hi)BMI1(hi)OCT4(hi)) (2) Skin, testis and breast cancers (YY1(hi)SOX2(lo)BMI1(hi)OCT4(hi)) (3) Liver, stomach, renal, pancreatic and urothelial cancers (YY1(lo)SOX2(lo)BMI1(hi)OCT4(hi)) and (4) Colorectal cancer, lymphoma and melanoma (YY1(hi)SOX2(hi)BMI1(lo)OCT4(hi)). A regulatory loop is proposed consisting of the cross-talk between the NF-kB/PI3K/AKT pathways and the downstream inter-regulation of target gene products YY1, OCT4, SOX2 and BMI1.

Indexed as

AnimalsData MiningGene Expression Regulation, NeoplasticHumansNeoplasmsNeoplastic Stem CellsOctamer Transcription Factor-3Polycomb Repressive Complex 1ProteomicsSignal TransductionSOXB1 Transcription FactorsYY1 Transcription FactorBMI1 protein, humanOctamer Transcription Factor-3Polycomb Repressive Complex 1POU5F1 protein, humanSOX2 protein, humanSOXB1 Transcription FactorsYY1 protein, humanYY1 Transcription FactorBMI1Cancer stem cellsNANOGOCT4SOX2Yin Yang 1

Identifiers

PMID27225481
PMCPMC4881184
OpenAlexW2395905799

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.