Literature DB >> 31414186

Glioblastoma Multiforme heterogeneity profiling with solid-state micropores.

Mohammad G Abdallah1,2,3, Turki I Almugaiteeb4,5, Muhammad Usman Raza1,2,3,6, James D Battiste7, Young-Tae Kim3,4,8, Samir M Iqbal9,10.   

Abstract

Glioblastoma multiforme (GBM) is the most common and lethal type of brain cancer. It is characterized by widespread heterogeneity at the cellular and molecular levels. The detection of this heterogeneity is valuable for accurate diagnosis. Herein, solid-state 20 μm diameter micropore made in thin suspended silicon dioxide membrane is used as cell sensor device. The device relies on a cell's mechano-physical properties as an indicator to differentiate between the subtypes of GBM. A library of GBM cell lines (U251, U87, D54 EGFRviii, and G55) was created by measuring the differences in cell's micropore translocation properties from their distinct electrical profiles. Each GBM subtype has distinct phenotype and this was delineated in their cell translocation behaviors. The library was used to distinguish cells from samples of brain tumor patients. The micropore device accurately profiled GBM patient samples for cell subtypes by comparing data with the GBM library. The micropore approach is simple, can be implemented at low cost and can be used in the clinical setups and operation theaters to detect and identify GBM subtypes from patient samples.

Entities:  

Keywords:  Biophysical methods; Brain tumor cells; High throughput screening; Single cell analysis

Mesh:

Year:  2019        PMID: 31414186     DOI: 10.1007/s10544-019-0416-7

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  2 in total

Review 1.  Advances and potential pitfalls of oncolytic viruses expressing immunomodulatory transgene therapy for malignant gliomas.

Authors:  Qing Zhang; Fusheng Liu
Journal:  Cell Death Dis       Date:  2020-06-25       Impact factor: 8.469

2.  Optimized monoclonal antibody treatment against ELTD1 for GBM in a G55 xenograft mouse model.

Authors:  Michelle Zalles; Nataliya Smith; Jadith Ziegler; Debra Saunders; Shannon Remerowski; Lincy Thomas; Rafal Gulej; Nadya Mamedova; Megan Lerner; Kar-Ming Fung; Junho Chung; Kyusang Hwang; Junyeong Jin; Graham Wiley; Chase Brown; James Battiste; Jonathan D Wren; Rheal A Towner
Journal:  J Cell Mol Med       Date:  2019-12-21       Impact factor: 5.310

  2 in total

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