Literature DB >> 29623971

The impact of tumor receptor heterogeneity on the response to anti-angiogenic cancer treatment.

Ding Li1, Stacey D Finley.   

Abstract

Multiple promoters and inhibitors mediate angiogenesis, the formation of new blood vessels, and these factors represent potential targets for impeding vessel growth in tumors. Vascular endothelial growth factor (VEGF) is a potent angiogenic factor targeted in anti-angiogenic cancer therapies. In addition, thrombospondin-1 (TSP1) is a major endogenous inhibitor of angiogenesis, and TSP1 mimetics are being developed as an alternative type of anti-angiogenic agent. The combination of bevacizumab, an anti-VEGF agent, and ABT-510, a TSP1 mimetic, has been tested in clinical trials to treat advanced solid tumors. However, the patients' responses are highly variable and show disappointing outcomes. To obtain mechanistic insight into the effects of this combination anti-angiogenic therapy, we have constructed a novel whole-body systems biology model including the VEGF and TSP1 reaction networks. Using this molecular-detailed model, we investigated how the combination anti-angiogenic therapy changes the amounts of pro-angiogenic and anti-angiogenic complexes in cancer patients. We particularly focus on answering the question of how the effect of the combination therapy is influenced by tumor receptor expression, one aspect of patient-to-patient variability. Overall, this model complements the clinical administration of combination anti-angiogenic therapy, highlights the role of tumor receptor variability in the heterogeneous responses to anti-angiogenic therapy, and identifies the tumor receptor profiles that correlate with a high likelihood of a positive response to the combination therapy. Our model provides novel understanding of the VEGF-TSP1 balance in cancer patients at the systems-level and could be further used to optimize combination anti-angiogenic therapy.

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Year:  2018        PMID: 29623971      PMCID: PMC7467857          DOI: 10.1039/c8ib00019k

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  74 in total

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2.  Proteomics. Tissue-based map of the human proteome.

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Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

3.  Phase I safety and pharmacokinetic study of recombinant human anti-vascular endothelial growth factor in patients with advanced cancer.

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Journal:  J Clin Oncol       Date:  2001-02-01       Impact factor: 44.544

Review 4.  Anti-VEGF therapies in the clinic.

Authors:  Kellen L Meadows; Herbert I Hurwitz
Journal:  Cold Spring Harb Perspect Med       Date:  2012-10-01       Impact factor: 6.915

5.  The matrix metalloproteinase system in oral squamous cell carcinoma.

Authors:  E A Baker; D J Leaper; J P Hayter; A J Dickenson
Journal:  Br J Oral Maxillofac Surg       Date:  2005-12-09       Impact factor: 1.651

6.  Effect of tumor microenvironment on tumor VEGF during anti-VEGF treatment: systems biology predictions.

Authors:  Stacey D Finley; Aleksander S Popel
Journal:  J Natl Cancer Inst       Date:  2013-05-13       Impact factor: 13.506

Review 7.  Tumour Angiogenesis and Angiogenic Inhibitors: A Review.

Authors:  Lalita Yadav; Naveen Puri; Varun Rastogi; Pranali Satpute; Vandana Sharma
Journal:  J Clin Diagn Res       Date:  2015-06-01

8.  Targeting neuropilin-1 to inhibit VEGF signaling in cancer: Comparison of therapeutic approaches.

Authors:  Feilim Mac Gabhann; Aleksander S Popel
Journal:  PLoS Comput Biol       Date:  2006-11-16       Impact factor: 4.475

9.  Predictive model identifies strategies to enhance TSP1-mediated apoptosis signaling.

Authors:  Qianhui Wu; Stacey D Finley
Journal:  Cell Commun Signal       Date:  2017-12-19       Impact factor: 5.712

10.  A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer.

Authors:  Matthew T McKenna; Jared A Weis; Stephanie L Barnes; Darren R Tyson; Michael I Miga; Vito Quaranta; Thomas E Yankeelov
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

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  5 in total

Review 1.  Systems biology of angiogenesis signaling: Computational models and omics.

Authors:  Yu Zhang; Hanwen Wang; Rebeca Hannah M Oliveira; Chen Zhao; Aleksander S Popel
Journal:  WIREs Mech Dis       Date:  2021-12-30

2.  Mathematical Model Predicts Effective Strategies to Inhibit VEGF-eNOS Signaling.

Authors:  Qianhui Wu; Stacey D Finley
Journal:  J Clin Med       Date:  2020-04-26       Impact factor: 4.241

3.  ERK and Akt exhibit distinct signaling responses following stimulation by pro-angiogenic factors.

Authors:  Min Song; Stacey D Finley
Journal:  Cell Commun Signal       Date:  2020-07-17       Impact factor: 5.712

4.  Precise engineering of hybrid molecules-loaded macromolecular nanoparticles shows in vitro and in vivo antitumor efficacy toward the treatment of nasopharyngeal cancer cells.

Authors:  Dongmei Liu; Wenguang Zhang; Xinju Liu; Rongliang Qiu
Journal:  Drug Deliv       Date:  2021-12       Impact factor: 6.419

5.  Co-drug delivery of regorafenib and cisplatin with amphiphilic copolymer nanoparticles: enhanced in vivo antitumor cancer therapy in nursing care.

Authors:  Zhe Zhou
Journal:  Drug Deliv       Date:  2020-12       Impact factor: 6.419

  5 in total

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