4.7 Article

Implication of Different Tumor Biomarkers in Drug Resistance and Invasiveness in Primary and Metastatic Colorectal Cancer Cell Lines

Journal

BIOMEDICINES
Volume 10, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/biomedicines10051083

Keywords

epithelium-mesenchymal transition; cell plasticity; cancer stem cells; tumor biomarkers; resistance; chemotherapy; oxaliplatin

Funding

  1. Universidad Politecnica de Madrid
  2. Asociacion para la Difusion de Avances Oncologicos [P210060008, FPA210000BIOTEC1904]

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Protein expression profiles in cancer cells are influenced by cellular factors and can affect their plasticity, transition, and drug resistance. This study examines ten biomarkers related to these features in three colorectal cancer cell lines and investigates their resistance to oxaliplatin. The results show variations in biomarker expression and resistance due to genetic variability. Further research in this area will provide valuable insights into understanding cellular response and preventing drug resistance.
Protein expression profiles are directly related to the different properties of cells and are conditioned by the cellular niche. As an example, they are the cause of the characteristic cell plasticity, epithelium-mesenchymal transition (EMT), and drug resistance of cancer cells. This article characterizes ten biomarkers related to these features in three human colorectal cancer cell lines: SW-480, SW-620, and DLD-1, evaluated by flow cytometry; and in turn, resistance to oxaliplatin is studied through dose-response trials. The main biomarkers present in the three studied lines correspond to EpCAM, CD-133, and AC-133, with the latter two in low proportions in the DLD-1 line. The biomarker CD166 is present in greater amounts in SW-620 and DLD-1 compared to SW-480. Finally, DLD-1 shows high values of Trop2, which may explain the aggressiveness and resistance of these cells to oxaliplatin treatments, as EpCAM is also highly expressed. Exposure to oxaliplatin slows cell growth but also helps generate resistance to the treatment. In conclusion, the response of the cell lines is variable, due to their genetic variability, which will condition protein expression and cell growth. Further analyses in this area will provide important information for better understanding of patients' cellular response and how to prevent resistance.

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