Evidence map›Paper›PMID 33584286›Full record

ArticleFrontiers in pharmacology2020

Bardoxolone-Methyl (CDDO-Me) Impairs Tumor Growth and Induces Radiosensitization of Oral Squamous Cell Carcinoma Cells.

Cornelius Hermann, Simon Lang, Tanja Popp, Susanne Hafner, Dirk Steinritz, Alexis Rump, Matthias Port, Stefan Eder

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Programmed cell death, redox imbalance, and cancer therapeutics.Apoptosis : an international journal on programmed cell death · 2021
    Review
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

8 authors at 4 institutions in 1 country.

Cornelius HermannBundeswehr Institute of Radiobiology, Munich, Germany.
Simon LangBundeswehr Institute of Pharmacology and Toxicology, Munich, Germany.
Tanja PoppBundeswehr Institute of Radiobiology, Munich, Germany.
Susanne HafnerInstitute of Pharmacology of Natural Products and Clinical Pharmacology, University of Ulm, Ulm, Germany.
Dirk SteinritzBundeswehr Institute of Pharmacology and Toxicology, Munich, Germany.
Alexis RumpBundeswehr Institute of Radiobiology, Munich, Germany.
Matthias PortBundeswehr Institute of Radiobiology, Munich, Germany.
Stefan EderBundeswehr Institute of Radiobiology, Munich, Germany.
Institut für Radiobiologie der BundeswehrInstitut für Pharmakologie und Toxikologie der BundeswehrLudwig-Maximilians-Universität München · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy represents a common treatment strategy for patients suffering from oral squamous cell carcinoma (OSCC). However, application of radiotherapy is immanently limited by radio-sensitivity of normal tissue surrounding the tumor sites. In this study, we used normal human epithelial keratinocytes (NHEK) and OSCC cells (Cal-27) as models to investigate radio-modulating and anti-tumor effects of the synthetic triterpenoid 2-cyano-3,12-dioxooleana-1,9,-dien-28-oic acid methyl ester (CDDO-Me). Nanomolar CDDO-Me significantly reduced OSCC tumor xenograft-growth

Indexed as

bardoxolone-methylheme oxygenase-1oral squamous cell carcinomaradiotherapyreactive oxygen species

Identifiers

PMID33584286
PMCPMC7878525
OpenAlexW3121902198

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.