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Cited by 466

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Complex roles of cAMP–PKA–CREB signaling in cancer

Open access
Zhang, Hongying, Kong, Qingbin, Wang, Jiao, Jiang, Yangfu, Hua, Hui·2020·Experimental Hematology & Oncology

Abstract

Cyclic adenosine monophosphate (cAMP) is the first discovered second messenger, which plays pivotal roles in cell signaling, and regulates many physiological and pathological processes. cAMP can regulate the transcription of various target genes, mainly through protein kinase A (PKA) and its downstream effectors such as cAMP-responsive element binding protein (CREB). In addition, PKA can phosphorylate many kinases such as Raf, GSK3 and FAK. Aberrant cAMP–PKA signaling is involved in various types of human tumors. Especially, cAMP signaling may have both tumor-suppressive and tumor-promoting roles depending on the tumor types and context. cAMP–PKA signaling can regulate cancer cell growth, migration, invasion and metabolism. This review highlights the important roles of cAMP–PKA–CREB signaling in tumorigenesis. The potential strategies to target this pathway for cancer therapy are also discussed.

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Crossref · 10.1186/s40164-020-00191-1

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Metadata

Authors
Zhang, H., Kong, Q., Wang, J., Jiang, Y., & Hua, H.
Venue
Experimental Hematology & Oncology
Published
2020-11-24
Volume
9
Issue
1
Pages
32-32
ISSN
2162-3619 (ISSN-L)
OpenAlex
W3107791012
Cited by
466
References
133
FWCI
12.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Complex roles of cAMP–PKA–CREB signaling in cancer. https://app.cochat.ai/papers/10.1186/s40164-020-00191-1
The paper
Zhang, H., Kong, Q., Wang, J., Jiang, Y., & Hua, H. (2020). Complex roles of cAMP–PKA–CREB signaling in cancer. Experimental Hematology & Oncology. https://doi.org/10.1186/s40164-020-00191-1

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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.