Cancer resistance to therapy presents an ongoing and unsolved obstacle, which has clear impact on patient's survival. In order to address this problem, novel in vitro models have been established and are currently developed that enable data generation in a more physiological context. For example, extracellular-matrix- (ECM-) based scaffolds lead to the identification of integrins and integrin-associated signaling molecules as key promoters of cancer cell resistance to radio- and chemotherapy as well as modern molecular agents. In this paper, we discuss the dynamic nature of the interplay between ECM, integrins, cytoskeleton, nuclear matrix, and chromatin organization and how this affects the response of tumor cells to various kinds of cytotoxic anticancer agents.
Keyphrases
- extracellular matrix
- genome wide
- dna damage
- gene expression
- transcription factor
- locally advanced
- single cell
- stem cells
- papillary thyroid
- electronic health record
- cell therapy
- squamous cell
- oxidative stress
- dna methylation
- machine learning
- escherichia coli
- cystic fibrosis
- big data
- cell migration
- single molecule
- rectal cancer
- childhood cancer
- radiation therapy
- tissue engineering
- hepatitis c virus
- deep learning
- lymph node metastasis
- hiv testing