Cell spheroids as a versatile research platform: formation mechanisms, high throughput production, characterization and applications
MC Decarli, R Amaral, DP Dos Santos, LB Tofani… - …, 2021 - iopscience.iop.org
Abstract Three-dimensional (3D) cell culture has tremendous advantages to closely mimic
the in vivo architecture and microenvironment of healthy tissue and organs, as well as of …
the in vivo architecture and microenvironment of healthy tissue and organs, as well as of …
Advanced technological tools to study multidrug resistance in cancer
L Andrei, S Kasas, IO Garrido, T Stanković… - Drug Resistance …, 2020 - Elsevier
The complexity of cancer biology and its clinical manifestation are driven by genetic,
epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic …
epigenetic, transcriptomic, proteomic and metabolomic alterations, supported by genomic …
Integrative drug screening and multiomic characterization of patient-derived bladder Cancer Organoids Reveal Novel Molecular correlates of Gemcitabine Response
NM Merrill, SD Kaffenberger, L Bao, N Vandecan… - European Urology, 2024 - Elsevier
Background and objective Predicting response to therapy for each patient's tumor is critical
to improving long-term outcomes for muscle-invasive bladder cancer. This study aims to …
to improving long-term outcomes for muscle-invasive bladder cancer. This study aims to …
Identification of drug-resistant cancer cells in flow cytometry combining 3D holographic tomography with machine learning
Identifying drug-resistant cancer cells is of fundamental importance to afford disease and
find the most effective therapies for the patients. Recently, label-free imaging flow cytometry …
find the most effective therapies for the patients. Recently, label-free imaging flow cytometry …
[HTML][HTML] Patient-derived bladder cancer organoid models in tumor biology and drug testing: a systematic review
Simple Summary Primary culture of cancer cells from patient tumors in a physiologically
relevant system can provide information about tumor biology, disentangle the role of …
relevant system can provide information about tumor biology, disentangle the role of …
Label-free assessment of the drug resistance of epithelial ovarian cancer cells in a microfluidic holographic flow cytometer boosted through machine learning
About 75% of epithelial ovarian cancer (EOC) patients suffer from relapsing and develop
drug resistance after primary chemotherapy. The commonly used clinical examinations and …
drug resistance after primary chemotherapy. The commonly used clinical examinations and …
Patient-derived tumour models for personalized therapeutics in urological cancers
AF van de Merbel, G van der Horst… - Nature Reviews …, 2021 - nature.com
Preclinical knowledge of dysregulated pathways and potential biomarkers for urological
cancers has undergone limited translation into the clinic. Moreover, the low approval rate of …
cancers has undergone limited translation into the clinic. Moreover, the low approval rate of …
Establishment and characterization of an in vitro 3D ovarian cancer model for drug screening assays
LB Tofani, JP Abriata, MT Luiz… - Biotechnology …, 2020 - Wiley Online Library
The acquired drug chemoresistance represents the main challenge of the ovarian cancer
treatment. In addition, the absence of an adequate in vitro model able to reproduce the …
treatment. In addition, the absence of an adequate in vitro model able to reproduce the …
[HTML][HTML] A comparative study of tumour-on-chip models with patient-derived xenografts for predicting chemotherapy efficacy in colorectal cancer patients
Inter-patient and intra-tumour heterogeneity (ITH) have prompted the need for a more
personalised approach to cancer therapy. Although patient-derived xenograft (PDX) models …
personalised approach to cancer therapy. Although patient-derived xenograft (PDX) models …
Application of microfluidic devices for glioblastoma study: Current status and future directions
X Cai, RG Briggs, HB Homburg, IM Young… - Biomedical …, 2020 - Springer
Glioblastoma (GBM) is one of the most malignant primary brain tumors. This neoplasm is the
hardest to treat and has a bad prognosis. Because of the characteristics of genetic …
hardest to treat and has a bad prognosis. Because of the characteristics of genetic …