PTPmu-targeted nanoparticles label invasive pediatric and adult glioblastoma

Covarrubias, Gil; Johansen, Mette L.; Vincent, Jason; Erokwu, Bernadette O.; Craig, Sonya E.L.; Rahmy, Abdelrahman; Cha, Anthony; Lorkowski, Morgan; MacAskill, Christina J; Scott, Bryan; Gargesha, Madhusudhana; Roy, Debashish; Flask, Chris A.; Karathanasis, Efstathios; Brady‐Kalnay, Susann M.

doi:10.1016/j.nano.2020.102216

Cited by 10 publications

(3 citation statements)

References 36 publications

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“…They concluded that PTPmu-targeted nanoparticles function as contrast agents in MRI. 121 Because of the enormous tumor mass observed at this time point and the low endogenous tumor contrast at baseline from blood iron, U-87 MG intracranial tumors were excellent for this method, as illustrated in Fig. 9A.…”

Section: Nanoparticles As Diagnostic Agents or Tools In Glioblastomamentioning

confidence: 85%

Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma

Habeeb,

Vengateswaran,

You

et al. 2024

J. Mater. Chem. B

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Section: Nanoparticles As Diagnostic Agents or Tools In Glioblastomamentioning

confidence: 85%

Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma

Habeeb,

Vengateswaran,

You

et al. 2024

J. Mater. Chem. B

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“…[ 36c ] In the particular scenario of invasive glioma, targeting peptides against overexpressed PTPmu have also been effective for use with the nanochains. [ 121 ]…”

Section: Theranostic Applications Of External Stimuli‐responsive Ionpmentioning

confidence: 99%

Stimuli‐Responsive Iron Oxide Nanotheranostics: A Versatile and Powerful Approach for Cancer Therapy

Lorkowski

Atukorale

Ghaghada

et al. 2020

Adv Healthcare Materials

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Recent advancements in unravelling elements of cancer biology involved in disease progression and treatment resistance have highlighted the need for a holistic approach to effectively tackle cancer. Stimuli‐responsive nanotheranostics based on iron oxide nanoparticles are an emerging class of versatile nanomedicines with powerful capabilities to “seek, sense, and attack” multiple components of solid tumors. In this work, the rationale for using iron oxide nanoparticles and the basic physical principles that impact their function in biomedical applications are reviewed. Subsequently, recent advances in the integration of iron oxide nanoparticles with various stimulus mechanisms to facilitate the development of stimuli‐responsive nanotheranostics for application in cancer therapy are summarized. The integration of an iron oxide core with various surface coating mechanisms results in the generation of hybrid nanoconstructs with capabilities to codeliver a wide variety of highly potent anticancer therapeutics and immune modulators. Finally, emerging future directions and considerations for their clinical translation are touched upon.

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“…Cryo-imaging has been utilized in multiple areas of cancer research, such as imaging agents [11][12][13] , imaging methods 14,15 , therapeutics [16][17][18][19][20] , and tumor models 21 . One of the major functionalities of cryo-imaging is to provide the ground-truth for the identification of metastatic tumors using fluorescent-protein-labeled cancer cells.…”

mentioning

confidence: 99%

Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data

Liu

Gargesha

Qutaish

et al. 2021

Sci Rep

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Cryo-imaging sections and images a whole mouse and provides ~ 120-GBytes of microscopic 3D color anatomy and fluorescence images, making fully manual analysis of metastases an onerous task. A convolutional neural network (CNN)-based metastases segmentation algorithm included three steps: candidate segmentation, candidate classification, and semi-automatic correction of the classification result. The candidate segmentation generated > 5000 candidates in each of the breast cancer-bearing mice. Random forest classifier with multi-scale CNN features and hand-crafted intensity and morphology features achieved 0.8645 ± 0.0858, 0.9738 ± 0.0074, and 0.9709 ± 0.0182 sensitivity, specificity, and area under the curve (AUC) of the receiver operating characteristic (ROC), with fourfold cross validation. Classification results guided manual correction by an expert with our in-house MATLAB software. Finally, 225, 148, 165, and 344 metastases were identified in the four cancer mice. With CNN-based segmentation, the human intervention time was reduced from > 12 to ~ 2 h. We demonstrated that 4T1 breast cancer metastases spread to the lung, liver, bone, and brain. Assessing the size and distribution of metastases proves the usefulness and robustness of cryo-imaging and our software for evaluating new cancer imaging and therapeutics technologies. Application of the method with only minor modification to a pancreatic metastatic cancer model demonstrated generalizability to other tumor models.

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PTPmu-targeted nanoparticles label invasive pediatric and adult glioblastoma

Cited by 10 publications

References 36 publications

Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma

Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma

Stimuli‐Responsive Iron Oxide Nanotheranostics: A Versatile and Powerful Approach for Cancer Therapy

Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data

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