Self-assembled phenylisoxazole-peptide hybrid assemblies and their interactions with breast and ovarian tumor cells

Hurley, Sara K.; Cutrone, Nicole M.; Fath, Karl R.; Pajovich, Harrison T.; Garcia, Jeremy; Smith, Andrew M.; Banerjee, Ipsita A.

doi:10.1080/00914037.2018.1525542

Cited by 1 publication

(1 citation statement)

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“…Peptide sequences can be designed to contain functional epitopes to enhance bioactivity and customize the interaction of cells with the matrix [ 51 ]. In addition, peptide sequences can be used as drug delivery vehicles [ 201 ]. Hurley et al reported the development of a self-assembled microscale carrier conjugated with the peptide WSGPGVWGASVK entrapping the chemotherapeutic drug topotecan.…”

Section: 3d Ovarian Cancer Modelsmentioning

confidence: 99%

Modeling the Tumor Microenvironment of Ovarian Cancer: The Application of Self-Assembling Biomaterials

Mendoza-Martinez

Loessner

Mata

et al. 2021

Cancers

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Ovarian cancer (OvCa) is one of the leading causes of gynecologic malignancies. Despite treatment with surgery and chemotherapy, OvCa disseminates and recurs frequently, reducing the survival rate for patients. There is an urgent need to develop more effective treatment options for women diagnosed with OvCa. The tumor microenvironment (TME) is a key driver of disease progression, metastasis and resistance to treatment. For this reason, 3D models have been designed to represent this specific niche and allow more realistic cell behaviors compared to conventional 2D approaches. In particular, self-assembling peptides represent a promising biomaterial platform to study tumor biology. They form nanofiber networks that resemble the architecture of the extracellular matrix and can be designed to display mechanical properties and biochemical motifs representative of the TME. In this review, we highlight the properties and benefits of emerging 3D platforms used to model the ovarian TME. We also outline the challenges associated with using these 3D systems and provide suggestions for future studies and developments. We conclude that our understanding of OvCa and advances in materials science will progress the engineering of novel 3D approaches, which will enable the development of more effective therapies.

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Section: 3d Ovarian Cancer Modelsmentioning

confidence: 99%