Evidence map›Paper›PMID 27294148›Full record

ReviewBioMed research international2016

Mouse Models in Prostate Cancer Translational Research: From Xenograft to PDX.

Domenica Rea, Vitale Del Vecchio, Giuseppe Palma, Antonio Barbieri, Michela Falco, Antonio Luciano, Davide De Biase, Sisto Perdonà, Gaetano Facchini, Claudio Arra

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Review
  3. Journal of men's health · 2022
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. [Molecular imaging and biology · 2020
    Article
  11. Review
  12. Review
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  14. Review
  15. Review
  16. Article
  17. Article
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  20. 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

10 authors at 2 institutions in 1 country.

Domenica ReaAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.ORCID 0000-0002-7162-6735
Vitale Del VecchioAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Giuseppe PalmaAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Antonio BarbieriAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Michela FalcoAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Antonio LucianoAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Davide De BiaseDepartment of Veterinary Medicine and Animal Productions, Università di Napoli Federico II, Via Delpino 1, 80137 Naples, Italy.
Sisto PerdonàDepartment of Urology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Gaetano FacchiniDivision of Medical Oncology, Department of Uro-Gynaecological Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Claudio ArraAnimal Facility Unit, Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G. Pascale", IRCCS, 80131 Naples, Italy.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the advancement of clinical and preclinical research on PCa, which resulted in the last five years in a decrement of disease incidence by 3-4%, it remains the most frequent cancer in men and the second for mortality rate. Based on this evidence we present a brief dissertation on numerous preclinical models, comparing their advantages and disadvantages; among this we report the PDX mouse models that show greater fidelity to the disease, in terms of histopathologic features of implanted tumor, gene and miRNA expression, and metastatic pattern, well describing all tumor progression stages; this characteristic encourages the translation of preclinical results. These models become particularly useful in meeting the need of new treatments identification that eradicate PCa bone metastases growing, clarifying pathway of angiogenesis, identifying castration-resistant stem-like cells, and studying the antiandrogen therapies. Also of considerable interest are the studies of 3D cell cultures derived from PDX, which have the ability to maintain PDX cell viability with continued native androgen receptor expression, also showing a differential sensitivity to drugs. 3D PDX PCa may represent a diagnostic platform for the rapid assessment of drugs and push personalized medicine. Today the development of preclinical models in vitro and in vivo is necessary in order to obtain increasingly reliable answers before reaching phase III of the drug discovery.

Indexed as

Disease Models, AnimalTranslational Research, BiomedicalAnimalsBone NeoplasmsHumansMaleMiceNeoplasm MetastasisProstatic Neoplasms, Castration-ResistantXenograft Model Antitumor Assays

Identifiers

PMID27294148
PMCPMC4887629
OpenAlexW2403502955

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.