Evidence map›Paper›PMID 22919280›Full record

ArticleSarcoma2012

Comparative gene expression profiling of benign and malignant lesions reveals candidate therapeutic compounds for leiomyosarcoma.

Badreddin Edris, Jonathan A Fletcher, Robert B West, Matt van de Rijn, Andrew H Beck

Open access · hybridAbstract read
In one paragraph

Article in Sarcoma, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Stage IV uterine leiomyosarcoma resection: A case report.Annals of medicine and surgery (2012) · 2022
    Article
  4. Turning 'Cold' tumors 'Hot': immunotherapies in sarcoma.Annals of translational medicine · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Role of genetic and molecular profiling in sarcomas.Current treatment options in oncology · 2015
    Review
  10. Review
  11. Article
  12. Leiomyosarcoma: Principles of management.Intractable & rare diseases research · 2013
    Article
  13. 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

5 authors at 4 institutions in 1 country.

Badreddin EdrisDepartment of Pathology, Stanford University Medical Center, Stanford, CA 93205, USA.
Jonathan A Fletcher
Robert B West
Matt van de Rijn
Andrew H Beck
Stanford Medicine · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USStanford University · US

Funding

Molecular Characterization of Leiomyosarcoma and GISTR01CA112270 · NCI · STANFORD UNIVERSITY · PI VAN DE RIJN, JAN MATT · 2005 to 2014
$3.0M
NCI NIH HHS R01 CA112270
6 · The paper itself

Abstract

Leiomyosarcoma (LMS) is a malignant, soft-tissue tumor for which few effective therapies exist. Previously, we showed that there are three molecular subtypes of LMS. Here, we analyzed genes differentially expressed in each of the three LMS subtypes as compared to benign leiomyomas and then used the Connectivity Map (cmap) to calculate enrichment scores for the 1309 cmap drugs in order to identify candidate molecules with the potential to induce a benign, leiomyoma-like phenotype in LMS cells. 11 drugs were selected and tested for their ability to inhibit the growth of three human LMS cell lines. We identified two drugs with in vitro efficacy against LMS, one of which had a strongly negative enrichment score (Cantharidin) and the other of which had a strongly positive enrichment score (MG-132). Given MG-132's strong inhibitory effect on LMS cell viability, we hypothesized that LMS cells may be sensitive to treatment with other proteasome inhibitors and demonstrated that bortezomib, a clinically-approved proteasome inhibitor not included in the original cmap screen, potently inhibited the viability of the LMS cell lines. These findings suggest that systematically linking LMS subtype-specific expression signatures with drug-associated expression profiles represents a promising approach for the identification of new drugs for LMS.

Identifiers

PMID22919280
PMCPMC3420093
OpenAlexW2121656053

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.