Evidence map›Paper›PMID 29311126›Full record

ReviewCold Spring Harbor perspectives in medicine2018

Preclinical Models of Prostate Cancer: Patient-Derived Xenografts, Organoids, and Other Explant Models.

Gail P Risbridger, Roxanne Toivanen, Renea A Taylor

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
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  20. KLK3 in the Regulation of Angiogenesis-Tumorigenic or Not?International journal of molecular sciences · 2021
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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

3 authors at 3 institutions in 3 countries.

Gail P RisbridgerMonash Partners Comprehensive Cancer Consortium, Melbourne, Victoria 3168, Australia.
Roxanne ToivanenProstate Cancer Program, Cancer Research Division, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria 3000, Australia.
Renea A TaylorCancer Discovery Program, Biomedicine Discovery Institute; Prostate Cancer Research Group, Department of Anatomy and Developmental Biology; and Department of Physiology, Monash University, Melbourne, Victoria 3800, Australia.
Monash University · AUPeter MacCallum Cancer Centre · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer remains a lethal disease. Preclinical cancer models that accurately represent the tumors of the patients they are intended to help are necessary to test potential therapeutic approaches and to better translate research discoveries. However, research in the prostate cancer field is hampered by the limited number of human cell lines and xenograft models, most of which do not recapitulate the human disease seen in the clinic today. This work reviews the recent advances in human patient-derived xenograft, organoid, and other explant models to address this need. In contrast to other tumor streams, the prostate cancer field is challenged by this approach, yet despite the limitations, patient-derived models remain an integral component of the preclinical testing pathway leading to better treatments for men with prostate cancer.

Indexed as

Cell Line, TumorAnimalsDisease Models, AnimalHeterograftsHumansMaleMiceProstatic NeoplasmsTumor Microenvironment

Identifiers

PMID29311126
PMCPMC6071547
OpenAlexW2782830341

What Socratic 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 Socratic graph.