Evidence map›Paper›PMID 33235291›Full record

ReviewOncogene2021

Insights from transgenic mouse models of PyMT-induced breast cancer: recapitulating human breast cancer progression in vivo.

Sherif Attalla, Tarek Taifour, Tung Bui, William Muller

Open access · hybridAbstract readReview
In one paragraph

Review in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

132 citing papers in PubMed, 223 citations in OpenAlex.

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72 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Sherif Attalla *Department of Biochemistry, McGill University, Montreal, QC, H3A 1A3, Canada.ORCID http://orcid.org/0000-0003-4193-6393
Tarek Taifour *Goodman Cancer Research Centre, McGill University, Montreal, QC, H3A 1A3, Canada.ORCID http://orcid.org/0000-0002-1390-3597
Tung BuiGoodman Cancer Research Centre, McGill University, Montreal, QC, H3A 1A3, Canada.
William MullerDepartment of Biochemistry, McGill University, Montreal, QC, H3A 1A3, Canada. william.muller@mcgill.ca.ORCID http://orcid.org/0000-0002-7293-4166
McGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is associated with the second highest cancer-associated deaths worldwide. Therefore, understanding the key events that determine breast cancer progression, modulation of the tumor-microenvironment and metastasis, which is the main cause of cancer-associated death, are of great importance. The mammary specific polyomavirus middle T antigen overexpression mouse model (MMTV-PyMT), first published in 1992, is the most commonly used genetically engineered mouse model (GEMM) for cancer research. Mammary lesions arising in MMTV-PyMT mice follow similar molecular and histological progression as human breast tumors, making it an invaluable tool for cancer researchers and instrumental in understanding tumor biology. In this review, we will highlight key studies that demonstrate the utility of PyMT derived GEMMs in understanding the molecular basis of breast cancer progression, metastasis and highlight its use as a pre-clinical tool for therapeutic discovery.

Indexed as

AnimalsAntigens, Polyomavirus TransformingBreast NeoplasmsFemaleMammary Neoplasms, ExperimentalMiceMice, TransgenicAntigens, Polyomavirus Transforming

Identifiers

PMID33235291
PMCPMC7819848
OpenAlexW3109445816

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.