Evidence map›Paper›PMID 21315436›Full record

ArticleCell2011

Identification of aneuploidy-selective antiproliferation compounds.

Yun-Chi Tang, Bret R Williams, Jake J Siegel, Angelika Amon

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
210citing papers in PubMed, 3 pooled it
24.2field-weighted citation impact, top 1% 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

210 citing papers in PubMed, 3 syntheses or guidelines pooled it, 348 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Investigating the Consequences of Aneuploidy in Cancer and Normal Tissue.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Review
  12. The Hallmarks of Aneuploidy in Cancer and Congenital Syndromes.Annual review of genomics and human genetics · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yun-Chi TangDavid H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02139, USA.
Bret R Williams
Jake J Siegel
Angelika Amon
Howard Hughes Medical Institute · USAllen Institute · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Aneuploidy, an incorrect chromosome number, is a hallmark of cancer. Compounds that cause lethality in aneuploid, but not euploid, cells could therefore provide new cancer therapies. We have identified the energy stress-inducing agent AICAR, the protein folding inhibitor 17-AAG, and the autophagy inhibitor chloroquine as exhibiting this property. AICAR induces p53-mediated apoptosis in primary mouse embryonic fibroblasts (MEFs) trisomic for chromosome 1, 13, 16, or 19. AICAR and 17-AAG, especially when combined, also show efficacy against aneuploid human cancer cell lines. Our results suggest that compounds that interfere with pathways that are essential for the survival of aneuploid cells could serve as a new treatment strategy against a broad spectrum of human tumors.

Indexed as

AneuploidyDrug Screening Assays, AntitumorAminoimidazole CarboxamideAnimalsAntineoplastic AgentsApoptosisBenzoquinonesCell LineCell ProliferationChloroquineChromosome SegregationEmbryo, MammalianFibroblastsHumansLactams, MacrocyclicMiceAICA ribonucleotideAminoimidazole CarboxamideAntineoplastic AgentsBenzoquinonesChloroquineLactams, MacrocyclicRibonucleotidestanespimycin

Identifiers

PMID21315436
PMCPMC3532042
OpenAlexW2076452392

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.