Evidence map›Paper›PMID 37296923›Full record

ReviewCancers2023

Recent Advancement in Breast Cancer Research: Insights from Model Organisms-Mouse Models to Zebrafish.

Sharad S Singhal, Rachana Garg, Atish Mohanty, Pankaj Garg, Sravani Keerthi Ramisetty, Tamara Mirzapoiazova, Raffaella Soldi, Sunil Sharma, Prakash Kulkarni, Ravi Salgia

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Sharad S SinghalDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Rachana GargDepartment of Surgery, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Atish MohantyDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Pankaj GargDepartment of Chemistry, GLA University, Mathura 281406, Uttar Pradesh, India.
Sravani Keerthi RamisettyDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Tamara MirzapoiazovaDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Raffaella SoldiTranslational Genomics Research Institute, Phoenix, AZ 85338, USA.
Sunil SharmaTranslational Genomics Research Institute, Phoenix, AZ 85338, USA.
Prakash KulkarniDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Ravi SalgiaDepartment of Medical Oncology and Therapeutic Research, Beckman Research Institute, City of Hope Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
City Of Hope National Medical Center · USTranslational Genomics Research Institute · USCity of Hope · USGLA University · IN

Funding

United States Department of Defense W81XWH-16-1-0641, W81XWH-20-1-0362, and W81XWH-22-1-0331
6 · The paper itself

Abstract

Animal models have been utilized for decades to investigate the causes of human diseases and provide platforms for testing novel therapies. Indeed, breakthrough advances in genetically engineered mouse (GEM) models and xenograft transplantation technologies have dramatically benefited in elucidating the mechanisms underlying the pathogenesis of multiple diseases, including cancer. The currently available GEM models have been employed to assess specific genetic changes that underlay many features of carcinogenesis, including variations in tumor cell proliferation, apoptosis, invasion, metastasis, angiogenesis, and drug resistance. In addition, mice models render it easier to locate tumor biomarkers for the recognition, prognosis, and surveillance of cancer progression and recurrence. Furthermore, the patient-derived xenograft (PDX) model, which involves the direct surgical transfer of fresh human tumor samples to immunodeficient mice, has contributed significantly to advancing the field of drug discovery and therapeutics. Here, we provide a synopsis of mouse and zebrafish models used in cancer research as well as an interdisciplinary 'Team Medicine' approach that has not only accelerated our understanding of varied aspects of carcinogenesis but has also been instrumental in developing novel therapeutic strategies.

Indexed as

CDX modelsdrug screeningGEM modelsmouseorthotopic modelsPDX modelszebrafish

Identifiers

PMID37296923
PMCPMC10252042
OpenAlexW4378716411

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.