Evidence map›Paper›PMID 23499892›Full record

ArticleCancer letters2013

Minnelide reduces tumor burden in preclinical models of osteosarcoma.

Sulagna Banerjee, Venugopal Thayanithy, Veena Sangwan, Tiffany N Mackenzie, Ashok K Saluja, Subbaya Subramanian

Abstract read
In one paragraph

Article in Cancer letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
22.6field-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

44 citing papers in PubMed, 58 citations in OpenAlex.

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  13. Combination of Anti-Cancer Drugs with Molecular Chaperone Inhibitors.International journal of molecular sciences · 2019
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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

6 authors at 1 institution in 1 country.

Sulagna BanerjeeDivision of Basic and Translational Research, Department of Surgery, University of Minnesota, United States.
Venugopal Thayanithy
Veena Sangwan
Tiffany N Mackenzie
Ashok K Saluja
Subbaya Subramanian
University of Minnesota · US

Funding

The Inhibition of HSP70 Induces Apoptosis in Pancreatic Cancer CellsR01CA124723 · NCI · UNIVERSITY OF MINNESOTA · PI GILBOA, ELI, RAMAKRISHNAN, SUNDARAM · 2007 to 2022
$4.5M
NCI NIH HHS R01 CA124723NCI NIH HHS R01CA124723NCI NIH HHS R01CA170496
6 · The paper itself

Abstract

Osteosarcoma is the most common bone cancer in children and adolescents with a 5-year survival rate of about 70%. In this study, we have evaluated the preclinical therapeutic efficacy of the novel synthetic drug, Minnelide, a prodrug of triptolide on osteosarcoma. Triptolide was effective in significantly inducing apoptosis in all osteosarcoma cell lines tested but had no significant effect on the human osteoblast cells. Notably, Minnelide treatment significantly reduced tumor burden and lung metastasis in the orthotopic and lung colonization models. Triptolide/Minnelide effectively downregulated the levels of pro-survival proteins such as heat shock proteins, cMYC, survivin and targets the NF-κB pathway.

Indexed as

AnimalsAntineoplastic Agents, AlkylatingApoptosisCaspase 3Caspase 7Caspase 9Cell Line, TumorCell SurvivalDiterpenesDown-RegulationEpoxy CompoundsFemaleGene Expression Regulation, NeoplasticHeat-Shock ProteinsHumansInhibitor of Apoptosis Proteins14-O-phosphonooxymethyltriptolide disodium saltAntineoplastic Agents, AlkylatingBIRC5 protein, humanCaspase 3Caspase 7Caspase 9DiterpenesEpoxy CompoundsHeat-Shock ProteinsInhibitor of Apoptosis ProteinsMYC protein, humanNF-kappa BOrganophosphatesPhenanthrenesProto-Oncogene Proteins c-mycSurvivintriptolide

Identifiers

PMID23499892
PMCPMC4386634
OpenAlexW2122083586

What OpenQuestion holds

Textmetadata
LicenceTDM
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.