Quantification of Tumor Cell Adhesion in Lymph Node Cryosections

Author(s)

Jandrey, Elisa Helena Farias ; Kuroki, Mayra Akemi ; Camargo, Anamaria Aranha ; Costa, Erico Tosoni

• Document type: Journal article
• Source: JOVE-JOURNAL OF VISUALIZED EXPERIMENTS; v. N/A, n. 156, p. 7-pg., 2020-02-01.

Abstract

Tumor-draining lymph nodes (LNs) are not merely filters of tumor-produced waste. They are one of the most common regional sites of provisional residence of disseminated tumor cells in patients with different types of cancer. The detection of these LN-residing tumor cells is an important biomarker associated with poor prognosis and adjuvant therapy decisions. Recent mouse models have indicated that LN-residing tumor cells could be a substantial source of malignant cells for distant metastases. The ability to quantify the adhesivity of tumor cells to LN parenchyma is a critical gauge in experimental research that focuses on the identification of genes or signaling pathways relevant for lymphatic/ metastatic dissemination. Because LNs are complex 3D structures with a variety of appearances and compositions in tissue sections depending on the plane of section, their matrices are difficult to replicate experimentally in vitro in a fully controlled way. Here, we describe a simple and inexpensive method that allows the quantification of adhesive tumor cells to LN cryosections. Using serial sections of the same LN, we adapt the classic method developed by Brodt to use nonradioactive labels and directly count the number of adhering tumor cells per LN surface area. LN-adherent tumor cells are readily identified by light microscopy and confirmed by a fluorescence-based method, giving an adhesion index that reveals the cell-binding affinity to LN parenchyma, which is suggestive evidence of molecular alterations in the affinity binding of integrins to their correlate LN-ligands. (AU)

• FAPESP's process: 16/07463-4 - MOLECULAR CHARACTERIZATION AND FUNCTIONAL STUDY OF ADAM23 GENE FOR PROGRESSION OF DIFFUSE GLIOMAS.
• Grantee: Erico Tosoni Costa
• Support Opportunities: Regular Research Grants