Evidence map›Paper›PMID 31032838›Full record

ArticleDatabase : the journal of biological databases and curation2019

CANCROX: a cross-species cancer therapy database.

Paulo Muniz de Ávila, Diego Cesar Valente E Silva, Paulo Cesar de Melo Bernardo, Ramon Gustavo Teodoro Marques da Silva, Ana Lúcia Fachin, Mozart Marins, Edilson Carlos Caritá

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Paulo Muniz de ÁvilaBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Diego Cesar Valente E SilvaBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Paulo Cesar de Melo BernardoBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Ramon Gustavo Teodoro Marques da SilvaBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Ana Lúcia FachinBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Mozart MarinsBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.
Edilson Carlos CaritáBiotechnology Unit, University of Ribeirão Preto, Av. Costábile Romano, Ribeirão Preto, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer comprises a set of more than 200 diseases resulting from the uncontrolled growth of cells that invade tissues and organs, which can spread to other regions of the body. The types of cancer found in humans are also described in animal models, a fact that has raised the interest of the scientific community in comparative oncology studies. In this study, bioinformatics tools were used to implement a computational model that uses text mining and natural language processing to construct a reference database that relates human and canine genes potentially associated with cancer, defining genetic pathways and information about cancer and cancer therapies. The CANCROX reference database was constructed by processing the scientific literature and lists more than 1300 drugs and therapies used to treat cancer, in addition to over 10 000 combinations of these drugs, including 40 types of cancer. A user-friendly interface was developed that enables researchers to search for different types of information about therapies, drug combinations, genes and types of cancer. In addition, data visualization tools allow to explore and relate different drugs and therapies for the treatment of cancer, providing information for groups studying animal models, in this case the dog, as well as groups studying cancer in humans.

Indexed as

Databases, FactualDog DiseasesNeoplasmsAnimalsDogsHumans

Identifiers

PMID31032838
PMCPMC6482323

What OpenQuestion holds

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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.