Proteomic Markers for Mechanobiological Properties of Metastatic Cancer Cells.
Sergey V LeonovOlumide InyangKonstantin AchkasovElizaveta BogdanElizaveta KontarevaYongheng ChenYing FuAndreyan N OsipovMargarita PustovalovaYulia MerkherPublished in: International journal of molecular sciences (2023)
The major cause (more than 90%) of all cancer-related deaths is metastasis, thus its prediction can critically affect the survival rate. Metastases are currently predicted by lymph-node status, tumor size, histopathology and genetic testing; however, all these are not infallible, and obtaining results may require weeks. The identification of new potential prognostic factors will be an important source of risk information for the practicing oncologist, potentially leading to enhanced patient care through the proactive optimization of treatment strategies. Recently, the new mechanobiology-related techniques, independent of genetics, based on the mechanical invasiveness of cancer cells (microfluidic, gel indentation assays, migration assays etc.), demonstrated a high success rate for the detection of tumor cell metastasis propensity. However, they are still far away from clinical implementation due to complexity. Hence, the exploration of novel markers related to the mechanobiological properties of tumor cells may have a direct impact on the prognosis of metastasis. Our concise review deepens our knowledge of the factors that regulate cancer cell mechanotype and invasion, and incites further studies to develop therapeutics that target multiple mechanisms of invasion for improved clinical benefit. It may open a new clinical dimension that will improve cancer prognosis and increase the effectiveness of tumor therapies.
Keyphrases
- prognostic factors
- lymph node
- healthcare
- high throughput
- single cell
- small cell lung cancer
- squamous cell carcinoma
- randomized controlled trial
- systematic review
- small molecule
- label free
- minimally invasive
- papillary thyroid
- cell therapy
- early stage
- mesenchymal stem cells
- high resolution
- young adults
- social media
- childhood cancer
- sensitive detection
- atomic force microscopy
- human health