Detecting cell-in-cell structures in human tumor samples by E-cadherin/CD68/CD45 triple staining
Hongyan Huang1,2, Ang Chen2, Ting Wang3
1Department of Oncology, Beijing Shijitan Hospital of Capital Medical University, Beijing, P. R. China.
Oncotarget
|June 26, 2015
Summary
This study identifies four types of cell-in-cell structures (CICs) in human tumors using a novel immunofluorescent method. Tumor cells are the primary engulfers, suggesting CICs may impact cancer progression and prognosis.
Area of Science:
- Oncology
- Immunology
- Cell Biology
Background:
- Cell-in-cell structures (CICs) are observed in human tumors but their types and formation mechanisms remain unclear due to limitations of traditional staining methods.
- Previous studies lacked the resolution to definitively characterize the cellular components and interactions within CICs.
Purpose of the Study:
- To develop and apply a novel immunofluorescent method for detailed characterization of CICs in human tumors.
- To identify and classify different types of CICs based on the cellular components involved.
- To investigate the potential clinical significance of CIC subtypes in relation to tumor characteristics.
Main Methods:
- Development of the "EML method" using simultaneous immunofluorescence staining for Epithelial marker (E-cadherin), Macrophage marker (CD68), and Leukocyte marker (CD45).
- Analysis of human tumor samples to identify and quantify different types of CICs based on engulfing and engulfed cells.
- Comparative analysis of the prevalence of different CIC subtypes and their cellular composition.
Main Results:
- Identification of four distinct types of CICs involving tumor cells, macrophages, and leukocytes.
- Tumor cells were identified as the predominant engulfing cells (93%) compared to macrophages (7%).
- The proportion of engulfed tumor cells (57%) was comparable to that of engulfed leukocytes (43%).
- Significant variation in CIC profiles was observed across different tumor samples, potentially correlating with malignancy stage or inflammatory status.
Conclusions:
- The EML method provides a robust approach for classifying CICs in human tumors.
- Tumor cells play a dominant role in forming CICs, with implications for tumor-host interactions.
- Further research using EML analysis is recommended to correlate specific CIC subtypes with clinical prognosis and tumor behavior.


