The role of tumor tissue architecture in treatment penetration and efficacy: an integrative study

KA Rejniak, V Estrella, T Chen, AS Cohen… - Frontiers in …, 2013 - frontiersin.org
Despite the great progress that has been made in understanding cancer biology and the
potential molecular targets for its treatment, the majority of drugs fail in the clinical trials. This …

Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells

Y Li, MJ Fanous, KA Kilian, G Popescu - Scientific reports, 2019 - nature.com
Cancer progression involves complex signals within the tumor microenvironment that
orchestrate proliferation and invasive processes. The mechanical properties of the …

Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning

R Elbez, J Folz, A McLean, H Roca, JM Labuz… - PloS one, 2021 - journals.plos.org
We define cell morphodynamics as the cell's time dependent morphology. It could be called
the cell's shape shifting ability. To measure it we use a biomarker free, dynamic histology …

Mapping tumor spheroid mechanics in dependence of 3D microenvironment stiffness and degradability by Brillouin microscopy

V Mahajan, T Beck, P Gregorczyk, A Ruland, S Alberti… - Cancers, 2021 - mdpi.com
Simple Summary Little is known about how cancer cells adapt their mechanical properties in
complex 3D microenvironments. Here we generated different types of tumor spheroids …

[HTML][HTML] Machine learning in the prediction of cancer therapy

R Rafique, SMR Islam, JU Kazi - Computational and Structural …, 2021 - Elsevier
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Integration of hyper-compliant microparticles into a 3D melanoma tumor model

MK Shah, EA Leary, EM Darling - Journal of biomechanics, 2019 - Elsevier
Multicellular spheroids provide a physiologically relevant platform to study the
microenvironment of tumors and therapeutic applications, such as microparticle-based drug …

Physiological relevance of in-vitro cell-nanoparticle interaction studies as a predictive tool in cancer nanomedicine research

Y Boinapalli, RS Pandey, AS Chauhan… - International Journal of …, 2023 - Elsevier
Cell uptake study is a routine experiment used as a surrogate to predict in vivo response in
cancer nanomedicine research. Cell culture conditions should be designed in such a way …

Microfluidic cell sorting by stiffness to examine heterogenic responses of cancer cells to chemotherapy

M Islam, R Mezencev, B McFarland, H Brink… - Cell Death & …, 2018 - nature.com
Cancers consist of a heterogeneous populations of cells that may respond differently to
treatment through drug-resistant sub-populations. The scarcity of these resistant sub …

A scalable filtration method for high throughput screening based on cell deformability

NK Gill, C Ly, KD Nyberg, L Lee, D Qi, B Tofig… - Lab on a Chip, 2019 - pubs.rsc.org
Cell deformability is a label-free biomarker of cell state in physiological and disease contexts
ranging from stem cell differentiation to cancer progression. Harnessing deformability as a …

Predictive modeling of drug response in non-hodgkin's lymphoma

HB Frieboes, BR Smith, Z Wang, M Kotsuma, K Ito… - PloS one, 2015 - journals.plos.org
We combine mathematical modeling with experiments in living mice to quantify the relative
roles of intrinsic cellular vs. tissue-scale physiological contributors to chemotherapy drug …