Preparation and characterization of 3D human glioblastoma spheroids using an N-octanoyl glycol chitosan hydrogel

Author(s):  
Yoonhee Bae ◽  
Chanyang Joo ◽  
Kyoung Hwan Park ◽  
Sun-Woong Kang ◽  
Kang Moo Huh ◽  
...  
Author(s):  
W.A.S. Ferreira ◽  
C.K.N. Amorim ◽  
R.R. Burbano ◽  
R.A.R. Villacis ◽  
F.A. Marchi ◽  
...  

2016 ◽  
Vol 144 ◽  
pp. 59-67 ◽  
Author(s):  
Ik Sung Cho ◽  
Myeong Ok Cho ◽  
Zhengzheng Li ◽  
Md Nurunnabi ◽  
Sung Young Park ◽  
...  

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi218-vi218
Author(s):  
Maleeha Qazi ◽  
Sabra Salim ◽  
Kevin R Brown ◽  
Neil Savage ◽  
Nicholas Mickolajewicz ◽  
...  

Abstract Recurrence of solid tumors renders patients vulnerable to a distinctly advanced, highly treatment-refractory disease state that has an increased mutational burden and novel oncogenic drivers not detected at initial diagnosis. Improving outcomes for recurrent cancers requires a better understanding of cancer cell populations that expand from the post-therapy, minimal residual disease (MRD) state. We profiled barcoded tumor cell populations through therapy at tumor initiation/engraftment, MRD and recurrence in our therapy-adapted, patient-derived xenograft models of glioblastoma (GBM). Tumors showed distinct patterns of recurrence in which clonal populations exhibited either a priori, pre-existing fitness, or equipotent fitness acquired through therapy. Characterization of the MRD state by single-cell and bulk RNA sequencing revealed a tumor-intrinsic immunomodulatory signature with strong prognostic significance at the transcriptomic level and in proteomic analysis of cerebrospinal fluid (CSF) collected from GBM patients at all stages of disease. Our results provide insight into the innate and therapy-driven dynamics of human glioblastoma, and the prognostic value of the interrogating of the MRD state in solid cancers.


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