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Cited by 286

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Combining microenvironment normalization strategies to improve cancer immunotherapy

Open access
Mpekris, Fotios, Voutouri, Chrysovalantis, Baish, James W., Duda, Dan G., Munn, Lance L., Stylianopoulos, Triantafyllos, Jain, Rakesh K.·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: Immunotherapy has changed the standard of care in cancer treatment, but an estimated 87% of patients currently do not derive long-term benefit from immune checkpoint blocker monotherapy. Therefore, new therapeutic strategies are needed to improve the response rates in patients who are resistant to immune checkpoint inhibition. We have developed a mathematical framework to determine how tumor microenvironment normalization strategies—specifically, vascular and stroma normalization—might improve immunotherapy efficacy. By incorporating complex interactions among various types of cancer cells, immune cells, stromal cells, and the vasculature, as well as physical mechanisms, we provide guidelines for designing effective combinatorial therapeutic strategies and point out areas for future investigation.

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Crossref · 10.1073/pnas.1919764117

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Metadata

Authors
Mpekris, F., Voutouri, C., Baish, J. W., Duda, D. G., Munn, L. L., Stylianopoulos, T., & Jain, R. K.
Venue
Proceedings of the National Academy of Sciences
Published
2020-02-03
Volume
117
Issue
7
Pages
3728-3737
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3003714437
Cited by
286
References
88
FWCI
6.14
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Combining microenvironment normalization strategies to improve cancer immunotherapy. https://app.cochat.ai/papers/10.1073/pnas.1919764117
The paper
Mpekris, F., Voutouri, C., Baish, J. W., Duda, D. G., Munn, L. L., Stylianopoulos, T., & Jain, R. K. (2020). Combining microenvironment normalization strategies to improve cancer immunotherapy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1919764117

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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.