Evidence map›Paper›PMID 29338446›Full record

ReviewExpert opinion on drug discovery2018

The latest animal models of ovarian cancer for novel drug discovery.

Elizabeth Magnotti, Wayne A Marasco

Abstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.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

2 authors.

Elizabeth Magnottia Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.
Wayne A Marascoa Department of Cancer Immunology and Virology , Dana-Farber Cancer Institute , Boston , MA , USA.

Funding

Cancer Immunology Training GrantT32CA207021 · NCI · DANA-FARBER CANCER INST · PI WUCHERPFENNIG, KAI W · 2016 to 2020
$2.4M
NCI NIH HHS T32 CA207021
6 · The paper itself

Abstract

introductionEpithelial ovarian cancer is a heterogeneous disease classified into five subtypes, each with a different molecular profile. Most cases of ovarian cancer are diagnosed after metastasis of the primary tumor and are resistant to traditional platinum-based chemotherapeutics. Mouse models of ovarian cancer have been utilized to discern ovarian cancer tumorigenesis and the tumor's response to therapeutics. Areas covered: The authors provide a review of mouse models currently employed to understand ovarian cancer. This article focuses on advances in the development of orthotopic and patient-derived tumor xenograft (PDX) mouse models of ovarian cancer and discusses current humanized mouse models of ovarian cancer. Expert opinion: The authors suggest that humanized mouse models of ovarian cancer will provide new insight into the role of the human immune system in combating and augmenting ovarian cancer and aid in the development of novel therapeutics. Development of humanized mouse models will take advantage of the NSG and NSG-SGM3 strains of mice as well as new strains that are actively being derived.

Indexed as

AnimalsAntineoplastic AgentsCarcinoma, Ovarian EpithelialDisease Models, AnimalDrug DesignDrug DiscoveryFemaleHumansMiceOvarian NeoplasmsXenograft Model Antitumor AssaysAntineoplastic Agentshumanized mouse modelsorthotopicOvarian cancerpatient-derived xenografts

Identifiers

PMID29338446
PMCPMC6487846

What OpenQuestion holds

Textmetadata
LicenceTDM
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.