Evidence map›Paper›PMID 19221747›Full record

ReviewCancer immunology, immunotherapy : CII2009

Polymorphisms of pro-inflammatory genes and prostate cancer risk: a pharmacogenomic approach.

Calogero Caruso, Carmela Rita Balistreri, Giuseppina Candore, Giuseppe Carruba, Giuseppina Colonna-Romano, Danilo Di Bona, Giusi Irma Forte, Domenico Lio, Florinda Listì, Letizia Scola and 1 more

Abstract readReview
In one paragraph

Review in Cancer immunology, immunotherapy : CII, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. The diet as a cause of human prostate cancer.Cancer treatment and research · 2014
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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

11 authors.

Calogero CarusoGruppo di Studio sull'Immunosenescenza, Dipartimento di Biopatologia e Metodologie Biomediche, Università di Palermo, Palermo, Italy. marcoc@unipa.it
Carmela Rita Balistreri
Giuseppina Candore
Giuseppe Carruba
Giuseppina Colonna-Romano
Danilo Di Bona
Giusi Irma Forte
Domenico Lio
Florinda Listì
Letizia Scola
Sonya Vasto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we consider the role of the genetics of inflammation in the pathophysiology of prostate cancer (PCa). This paper is not an extensive review of the literature, rather it is an expert opinion based on data from authors' laboratories on age-related diseases and inflammation. The aim is the detection of a risk profile that potentially allows both the early identification of individuals at risk for disease and the possible discovery of potential targets for medication. In fact, a major goal of clinical research is to improve early detection of age-related diseases, cancer included, by developing tools to move diagnosis backward in disease temporal course, i.e., before the clinical manifestation of the malady, where treatment might play a decisive role in preventing or significantly retarding the manifestation of the disease. The better understanding of the function and the regulation of inflammatory pathway in PCa may help to know the mechanisms of its formation and progression, as well as to identify new targets for the refinement of new treatment such as the pharmacogenomics approach.

Indexed as

AgingGenetic Predisposition to DiseaseHumansInflammationInflammation MediatorsMalePharmacogeneticsPolymorphism, GeneticProstatic NeoplasmsInflammation Mediators

Identifiers

PMID19221747
PMCPMC11030552

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.