Evidence map›Paper›PMID 22942715›Full record

ArticleInternational journal of molecular sciences2012

Chemopreventive efficacy of Atorvastatin against nitrosamine-induced rat bladder cancer: antioxidant, anti-proliferative and anti-inflammatory properties.

Belmiro Parada, Flávio Reis, Ângela Pinto, José Sereno, Maria Xavier-Cunha, Paula Neto, Petronila Rocha-Pereira, Alfredo Mota, Arnaldo Figueiredo, Frederico Teixeira

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

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  12. The impact of nutrition in urogenital cancers.Archives of medical science : AMS · 2015
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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

10 authors at 3 institutions in 1 country.

Belmiro ParadaLaboratory of Pharmacology & Experimental Therapeutics, Institute of Biomedical Research on Light and Image, Medicine Faculty, Coimbra University, Coimbra, 3000-548, Portugal.
Flávio ReisLaboratory of Pharmacology & Experimental Therapeutics, Institute of Biomedical Research on Light and Image, Medicine Faculty, Coimbra University, Coimbra, 3000-548, Portugal.
Ângela PintoLaboratory of Pharmacology & Experimental Therapeutics, Institute of Biomedical Research on Light and Image, Medicine Faculty, Coimbra University, Coimbra, 3000-548, Portugal.
José SerenoLaboratory of Pharmacology & Experimental Therapeutics, Institute of Biomedical Research on Light and Image, Medicine Faculty, Coimbra University, Coimbra, 3000-548, Portugal.
Maria Xavier-CunhaService of Anatomic Pathology, Coimbra University Hospital, Coimbra, 3000-075, Portugal.
Paula NetoService of Anatomic Pathology, Coimbra University Hospital, Coimbra, 3000-075, Portugal.
Petronila Rocha-PereiraResearch Centre for Health Sciences, Beira Interior University, Covilhã, 6201-506, Portugal.
Alfredo MotaDepartment of Urology & Renal Transplantation, Coimbra University Hospital, Coimbra, 3000-075, Portugal.
Arnaldo FigueiredoDepartment of Urology & Renal Transplantation, Coimbra University Hospital, Coimbra, 3000-075, Portugal.
Frederico TeixeiraLaboratory of Pharmacology & Experimental Therapeutics, Institute of Biomedical Research on Light and Image, Medicine Faculty, Coimbra University, Coimbra, 3000-548, Portugal.
University of Coimbra · PTAssociation for Innovation and Biomedical Research on Light and Image · PTUniversity of Beira Interior · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the anti-carcinogenic effects of Atorvastatin (Atorva) on a rat bladder carcinogenesis model with N-butyl-N-(4-hydroxibutil)nitrosamine (BBN), four male Wistar rat groups were studied: (1) CONTROL: vehicle; (2) Atorva: 3 mg/kg bw/day; (3) Carcinogen: BBN (0.05%); (4) Preventive Atorva: 3 mg/kg bw/day Atorva + BBN. A two phase protocol was used, in which the drug and the carcinogen were given between week 1 and 8 and tumor development or chemoprevention were expressed between week 9 and 20, when the bladders were collected for macroscopic, histological and immunohistochemical (p53, ki67, CD31) evaluation. Serum was assessed for markers of inflammation, proliferation and redox status. The incidence of bladder carcinoma was: control 0/8 (0%); Atorva 0/8 (0%); BBN 13/20 (65%) and Atorva + BBN 1/8 (12.5%). The number and volume of tumors were significantly lower in the Atorva + BBN group, with a marked reduction in hyperplasia, dysplasia and carcinoma in situ lesions. An anti-proliferative, anti-inflammatory and antioxidant profile was also observed in the preventive Atorva group. p53 and ki67 immunostaining were significantly increased in the BBN-treated rats, which was prevented in the Atorva + BBN group. No differences were found for CD31 expression. In conclusion, Atorvastatin had a clear inhibitory effect on bladder cancer development, probably due to its antioxidant, anti-proliferative and anti-inflammatory properties.

Indexed as

AnimalsAnticarcinogenic AgentsAnti-Inflammatory AgentsAntioxidantsAtorvastatinBiomarkers, TumorButylhydroxybutylnitrosamineCell ProliferationDrug Evaluation, PreclinicalHeptanoic AcidsMaleOxidative StressPyrrolesRats, WistarUrinary BladderUrinary Bladder NeoplasmsAnticarcinogenic AgentsAnti-Inflammatory AgentsAntioxidantsAtorvastatinBiomarkers, TumorButylhydroxybutylnitrosamineHeptanoic AcidsPyrrolesanti-inflammatoryantioxidantanti-proliferativeatorvastatinbladder cancerchemoprevention

Identifiers

PMID22942715
PMCPMC3430246
OpenAlexW2097461802

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.