Evidence map›Paper›PMID 38751464›Full record

ReviewTranslational breast cancer research : a journal focusing on translational research in breast cancer2023

Features and applications of Ehrlich tumor model in cancer studies: a literature review.

Débora Rasec Radulski, Maria Carolina Stipp, Claudia Martins Galindo, Alexandra Acco

Abstract readReview
In one paragraph

Review in Translational breast cancer research : a journal focusing on translational research in breast cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

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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

4 authors.

Débora Rasec RadulskiDepartment of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil.
Maria Carolina StippDepartment of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil.
Claudia Martins GalindoDepartment of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil.
Alexandra AccoDepartment of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Breast cancer is the most prevalent cancer worldwide, responsible for a large number of deaths, especially among women. Therapeutic options for breast cancer include surgery, radiotherapy, chemotherapy, hormone therapy, and immunotherapy, but further studies of the pathogenesis of this disease and new treatments are still needed. Methods: This review was based on scientific articles, books, and theses on Ehrlich tumors. We searched the PubMed, SciELO, Google Scholar, Google, and Clarivate databases. Key Content and Findings: Hormone-positive ECs produce solid Ehrlich carcinoma (SEC) and ascitic Ehrlich carcinoma (AEC), with different features and applications. The presence of SEC or AEC induces systemic and immunological alterations that are similar to cancer in humans, what makes this model applicable to different studies in the cancer field. Conclusions: Ehrlich tumors are a relevant tool for improving our understanding of the pathogenesis of breast cancer and investigating the tumor microenvironment, side effects of therapies, and new treatment options. Despite some limitations, such as the absence of an invasive phenotype to produce metastasis, both SEC and AEC are relevant in preclinical and translational studies of breast cancer.

Indexed as

breast cancercell manipulationpreclinical studiestranslational studiesTumor animal model

Identifiers

PMID38751464
PMCPMC11093101

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.