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Updated: Jun 27, 2026
Flow Cytometric Analysis for Identification of the Innate and Adaptive Immune Cells of Murine Lung
Published on: November 16, 2021
[Multiparametric flow cytometry analyzes the expressions of immunophenotype CD133, CD34, CD44 in lung cancer naive
Dan Liu1, Wei-min Li, Xian-ming Mo
1Department of Respiratory Medicine, Laboratory Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital, Suchian University, Chengdu, China.
Objective:
To study the expression of CD133, CD34 and CD44 in lung cancer, and distribution of cell subpopulations that generated by combination of different markers.
Methods:
By collecting 10 normal lung tissues and 40 lung cancer fresh samples that were diagnosed pathologically, preparing single cell suspension, and labelling cells with CD133, CD34, CD44, CD117, CD43, CD45 and LIN(CD2, CD3, CD31, CD64) monoclone antibodies, we analyzed the distribution of the above-mentioned antibodies in lung cancer cells on FCM. By double-parameters plots, we analyzed the naive cell subpopulations that were generated through combination of positive and negative antigen expression.
Results:
In lung cancer parenchymal-cells (LIN- CD45-) expressed CD133, CD34 and CD44 dim positive and, expressed CD117 and CD43 negative. The mann-Whitney rank test results shows that there was no significant difference for the expression of CD133, CD34, CD44 between lung cancer and normal lung tissue, and CD44+, CD133- CD34-, CD133+ CD44+, CD133+ CD44-, CD133+ CD34+, CD133- CD34+ and CD133- CD44+ expressed differently (P < 0.05) between lung adenocarcinoma and lung squamous cell carcinoma. The cluster analysis results suggest that they are classified to 4 subsets.
Conclusion:
CD133, CD34, CD44 could be the marker of lung cancer naive cells, which could contribute to study lung cancer cell development.
