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Cited by 317

The DOI matches its Crossref record; 214 of the 214 references it cites were found in a registry or an index.

Drosophila melanogaster: A Model Organism to Study Cancer

Open access
Mirzoyan, Zhasmine, Sollazzo, Manuela, Allocca, Mariateresa, Valenza, Alice Maria, Grifoni, Daniela, Bellosta, Paola·2019·Frontiers in Genetics

Abstract

Cancer is a multistep disease driven by the activation of specific oncogenic pathways concomitantly with the suppression of tumor suppressor genes that act as sentinels to control physiological growth. The conservation of most of these signaling pathways in Drosophila, and the ability to easily manipulate them genetically, has made the fruit fly a useful model organism to study cancer biology. In this review we outlined the basic mechanisms and signaling pathways conserved between humans and flies responsible of inducing uncontrolled growth and cancer development. Second, we described classic and novel Drosophila models used to study different cancers, with the objective to discuss their strengths and limitations on their use to understand growth cell autonomously and within organs, and their use for drug screens aimed at the discover of therapeutic approaches.

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Registry

Crossref · 10.3389/fgene.2019.00051

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Metadata

Authors
Mirzoyan, Z., Sollazzo, M., Allocca, M., Valenza, A. M., Grifoni, D., & Bellosta, P.
Venue
Frontiers in Genetics
Published
2019-03-01
Volume
10
Pages
51-51
ISSN
1664-8021 (ISSN-L)
OpenAlex
W2919287201
Cited by
317
References
214
FWCI
8.67
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Drosophila melanogaster: A Model Organism to Study Cancer. https://app.cochat.ai/papers/10.3389/fgene.2019.00051
The paper
Mirzoyan, Z., Sollazzo, M., Allocca, M., Valenza, A. M., Grifoni, D., & Bellosta, P. (2019). Drosophila melanogaster: A Model Organism to Study Cancer. Frontiers in Genetics. https://doi.org/10.3389/fgene.2019.00051

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.