SUBPOPULATION COMPOSITION OF T-HELPER CELLS IN THE TUMOR MICROENVIRONMENT IN COLON CANCER
https://doi.org/10.52485/19986173_2024_4_29
Abstract
Objective – to study the subpopulation composition of T-helpers in the tumor microenvironment of patients with colon cancer.
Materials and methods. The relative content of T-helpers in the tumor microenvironment, the subpopulation composition of T-helpers, and the expression of co-inhibitory proteins (CTLA-4, PD-1, TIM-3) by CD4-positive cells were determined by flow cytofluorimetry in 105 patients with stage III colorectal cancer. The control group consisted of 75 patients who underwent colon surgery for non-neoplastic diseases.
Results. In patients with colorectal cancer (CRC), the relative content of T-helpers in the tumor microenvironment increases by 1,4, the proportion of naive cells (CD3+CD4+CD45RA+CCR7+) decreases by 1,8 times, the relative content of central memory T-helpers (CD3+CD4+CD45RA-CCR7+) increases, the number of CD4-positive effector memory cells (CD3+CD4+CD45RA-ССR7-) and terminally differentiated T-helpers (CD3+CD4+CD45RA+ССR7-) decreases. In patients with CRC, on the surface of CD3+CD4+ lymphocytes in the tumor microenvironment, the expression of CD57 increases by 4,1 times, the co-inhibitory molecule CTLA-4 by 5,5 times, and the PD-1 protein by 1,8 times.
Conclusion. In patients with colorectal cancer, the subpopulation composition of T-helpers in the tumor microenvironment changes, which is expressed in a decrease in the proportion of naive cells and the most differentiated effector cells with a simultaneous increase in the percentage of central memory cells.
About the Authors
V. V. Kryukova
Chita State Medical Academy
Russian Federation
Russian Federation
Kryukova V.V., Candidate of Medical Sciences, Associate Professor of the Department of Hospital Surgery with a Course in Pediatric Surgery
Author ID РИНЦ: 357867
39a Gorky St., Chita, Russia, 672000
V. L. Tsepelev
Chita State Medical Academy
Russian Federation
Russian Federation
Tsepelev V.L., Doctor of Medical Science, Professor, The head of Hospital Surgery department with a Course in Pediatric Surgery
Author ID РИНЦ: 469488
39a Gorky St., Chita, Russia, 672000
P. P. Tereshkov
Chita State Medical Academy
Russian Federation
Russian Federation
Tereshkov P.P., Candidate of Medical Sciences, Head of the Laboratory of Experimental and Clinical Biochemistry and Immunology, Research Institute of Molecular Medicine
39a Gorky St., Chita, Russia, 672000
A. V. Sebaochzhay
Chita State Medical Academy
Russian Federation
Russian Federation
Sebaochzhay A.V., 6th year student of the medical faculty
39a Gorky St., Chita, Russia, 672000
References
1. Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2021. 71 (3). 209–249.
2. Xie Y.H., Chen Y.X., Fang J.Y. Comprehensive review of targeted therapy for colorectal cancer. Signal transduction and targeted therapy. 2020. 5 (1). 1–30. DOI https://doi.org/10.1038/s41392-020-0116-z.
3. Zheng Z., Wieder T., Mauerer B., Schäfer L., Kesselring R. et al. T Cells in Colorectal Cancer: Unravelling the Function of Different T Cell Subsets in the Tumor Microenvironment. Int. J. Mol. Sci. 2023. 24 (14). 11673. https://doi.org/10.3390/ijms241411673.
4. Chetveryakov A.V., Tsepelev V.L. Level of co-inhibitory immune checkpoints in tumor tissue in patients with colon neoplasms. Molecular Medicine. 2023. 21 (1). 56-60.
5. Chetveryakov A.V., Tsepelev V.L. Concentration of co-inhibitory immune checkpoints and their ligands in the blood of patients with colon tumor. Pathological physiology and experimental therapy. 2023. 67 (1). 56–62.
6. Kudryavtsev I.V., Borisov A.G., Krobinets I.I., Savchenko A.A., Serebryakova M.K. Determination of the main subpopulations of cytotoxic T-lymphocytes by multicolor flow cytometry. Medical Immunology. 2015.17 (6) . 525–538.
7. Mudrov V.A. Algorithms for statistical analysis of quantitative features in biomedical research using the SPSS software package. Transbaikal Medical Bulletin. 2020. 1. 140–150.
8. Kawabe T., Yi J., Sprent J . Homeostasis of naive and memory T lymphocytes. Cold Spring Harbor perspectives in biology. 2021. 13 (9). 037879.
9. Novik A.V., Kudryavtsev I.V., Nekhaeva T.L., Emelyanova N.V., Danilova A.B. et al. Prognostic and predictive value of memory T cells in peripheral blood in patients with inoperable or metastatic melanoma. Effective pharmacotherapy. 2021. 17 (11). 10–14.
10. Ratajczak W., Niedźwiedzka-Rystwej P., Tokarz-Deptuła B., Deptuła W. Immunological memory cells. Central European Journal of Immunology. 2018 . 43 (2). 194–203.
11. Kudryavtsev I.V. Memory T-cells: main populations and differentiation stages. Russian Journal of Immunology. 2014. 8 (17). 4. 947–964.
12. Kwiecień I., Rutkowska E., Sokołowski R., Bednarek J., Raniszewska, A. Et al. Effector memory T cells and CD45RO+ Regulatory T cells in metastatic vs. Non-metastatic lymph nodes in lung cancer patients. Frontiers in Immunology. 2022. 13. 864497.
13. Espinosa F., Herr G., Tarp S. et al. CD57+CD4 T Cells underlie belatacept-resistant allograft rejection. American Journal of Transplantation. 2016. 16 (4). 1102–1112.
Review
For citations:
Kryukova V.V., Tsepelev V.L., Tereshkov P.P., Sebaochzhay A.V. SUBPOPULATION COMPOSITION OF T-HELPER CELLS IN THE TUMOR MICROENVIRONMENT IN COLON CANCER. Transbaikalian Medical Bulletin. 2024;(4):29-35. (In Russ.) https://doi.org/10.52485/19986173_2024_4_29
Views:
130
Email this article 