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The DOI matches its Crossref record; 211 of the 211 references it cites were found in a registry or an index.

The hypoxic tumour microenvironment

Open access
Petrova, Varvara, Annicchiarico-Petruzzelli, Margherita, Melino, Gerry, Amelio, Ivano·2018·Oncogenesis

Abstract

Cancer progression often benefits from the selective conditions present in the tumour microenvironment, such as the presence of cancer-associated fibroblasts (CAFs), deregulated ECM deposition, expanded vascularisation and repression of the immune response. Generation of a hypoxic environment and activation of its main effector, hypoxia-inducible factor-1 (HIF-1), are common features of advanced cancers. In addition to the impact on tumour cell biology, the influence that hypoxia exerts on the surrounding cells represents a critical step in the tumorigenic process. Hypoxia indeed enables a number of events in the tumour microenvironment that lead to the expansion of aggressive clones from heterogeneous tumour cells and promote a lethal phenotype. In this article, we review the most relevant findings describing the influence of hypoxia and the contribution of HIF activation on the major components of the tumour microenvironment, and we summarise their role in cancer development and progression.

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Crossref · 10.1038/s41389-017-0011-9

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Metadata

Authors
Petrova, V., Annicchiarico-Petruzzelli, M., Melino, G., & Amelio, I.
Venue
Oncogenesis
Published
2018-01-24
Volume
7
Issue
1
Pages
10-10
ISSN
2157-9024 (ISSN-L)
OpenAlex
W2789637558
Cited by
1,019
References
211
FWCI
29.67
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The hypoxic tumour microenvironment. https://app.cochat.ai/papers/10.1038/s41389-017-0011-9
The paper
Petrova, V., Annicchiarico-Petruzzelli, M., Melino, G., & Amelio, I. (2018). The hypoxic tumour microenvironment. Oncogenesis. https://doi.org/10.1038/s41389-017-0011-9

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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.