The Novel Association of Early Apoptotic Circulating Tumor Cells with Treatment Outcomes in Breast Cancer Patients.
Evgeniya S GrigoryevaLiubov Alexandrovna TashirevaVladimir Valerievich AlifanovOlga E SavelievaSergey V VtorushinMarina V ZavyalovaNadezhda V CherdyntsevaVladimir M PerelmuterPublished in: International journal of molecular sciences (2022)
Stemness and epithelial-mesenchymal plasticity are widely studied in the circulating tumor cells of breast cancer patients because the roles of both processes in tumor progression are well established. An important property that should be taken into account is the ability of CTCs to disseminate, particularly the viability and apoptotic states of circulating tumor cells (CTCs). Recent data demonstrate that apoptosis reversal promotes the formation of stem-like tumor cells with pronounced potential for dissemination. Our study focused on the association between different apoptotic states of CTCs with short- and long-term treatment outcomes. We evaluated the association of viable CTCs, CTCs with early features of apoptosis, and end-stage apoptosis/necrosis CTCs with clinicopathological parameters of breast cancer patients. We found that the proportion of circulating tumor cells with features of early apoptosis is a perspective prognosticator of metastasis-free survival, which also correlates with the neoadjuvant chemotherapy response in breast cancer patients. Moreover, we establish that apoptotic CTCs are associated with the poor response to neoadjuvant chemotherapy, and metastasis-free survival expressed at least two stemness markers, CD44 and CD133.
Keyphrases
- circulating tumor cells
- neoadjuvant chemotherapy
- cell death
- free survival
- cell cycle arrest
- endoplasmic reticulum stress
- locally advanced
- oxidative stress
- stem cells
- circulating tumor
- lymph node
- sentinel lymph node
- anti inflammatory
- epithelial mesenchymal transition
- rectal cancer
- squamous cell carcinoma
- poor prognosis
- radiation therapy
- risk assessment
- pi k akt
- electronic health record
- signaling pathway
- cell proliferation
- big data
- machine learning
- climate change
- data analysis