4.6 Review

Platelet detection as a new liquid biopsy tool for human cancers

Journal

FRONTIERS IN ONCOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2022.983724

Keywords

liquid biopsy; platelets; tumor-educated platelets; cancer; diagnosis; prognosis; biomarkers

Categories

Funding

  1. National Natural Science Foundation of China
  2. Young Talents Program of Chongqing
  3. Natural Science Foundation of Chongqing
  4. [81770197]
  5. [81903838]
  6. [T03010008]
  7. [cstc2020jcyj-msxmX0051]

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Platelets, as a biomarker, have wide applications in cancer screening and treatment. Through the interactions with cancer cells, platelets can transfer proteins and RNAs, affecting tumor growth and metastasis. The count, volume, and protein profiles of platelets can also be used for early cancer detection.
Cancer is still a leading cause of death worldwide and liquid biopsy is a powerful tool that can be applied to different stages of cancer screening and treatment. However, as the second most abundant cell type in the bloodstream, platelets are isolated through well-established and fast methods in clinic but their value as a BioSource of cancer biomarkers is relatively recent. Many studies demonstrated the bidirectional interaction between cancer cells and platelets. Platelets transfer various proteins (e.g., growth factors, cytokine, chemokines) and RNAs (e.g., mRNA, lncRNA, miRNA, circRNA) into the tumor cells and microenvironment, leading the stimulation of tumor growth and metastasis. In turn, the platelet clinical characteristics (e.g., count and volume) and contents (e.g., RNA and protein) are altered by the interactions with cancer cells and this enables the early cancer detection using these features of platelets. In addition, platelet-derived microparticles also demonstrate the prediction power of being cancer biomarkers. In this review, we focus on the clinical applications of platelet detection using the platelet count, mean platelet volume, platelet RNA and protein profiles for human cancers and discuss the gap in bringing these implementations into the clinic.

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