New capabilities of regulation of antitumor immune response

Кадагидзе, З. Г.; Черткова, А. И.; Заботина, Т. Н.; Короткова, О. В.; Славина, Е. Г.; Борунова, А А

doi:10.18027/2224-5057-2015-1-24-30

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…5). Полученные в результате расчетов данные позволяли сделать заключение об отсутствии риска про- -6,70 -11,57 -9,86 -6,70 -11,57 11,88 11,14 12,38 cliNical studies [11][12][13][14], в том числе и нами при РП, такие как CD8+ и NK-клетки, дискриминантная мощность этих показателей оказалась незначительной и не позволила включить их в прогностический алгоритм. На основании высоких значений F-статистики при разведочном этапе дискриминантного анализа были отобраны CD4+ Т-клетки и T-reg.…”

Section: клинические примеры использования разработанного алгоритмаunclassified

Individual Prognostic Algorithm for Estimating the Risk of Esophageal Cancer Progression After Surgical Treatment

et al. 2020

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The development of laboratory criteria for predicting esophageal cancer (EC) prognosis is of great importance due to the need to achieve personalized approach to cancer treatment. Since the role of lymphocytic infiltration in EC remains controversial, our goal was to develop a prognostic algorithm for estimating the risk of esophageal squamous cell carcinoma progression, considering its lymphocytic microenvironment.Material and Methods. Tumor tissues were obtained from 40 EC patients during surgery; the tissues were homogenized, and lymphocyte subsets (Т-В-NK, T-reg) were determined by flow cytometry. A prognostic algorithm for calculating the risk of EC progression within 3 years was developed using discriminant analysis with the calculation of the three F functions: F0 , F6–12, F12–24, corresponding to the absence of the risk of EC progression during 3 years (F0 ); a high risk of EC progression during 6–12 months (F6–12); a high risk of EC progression during 12–24 months (F12–24) after surgery.Results. Only two factors showed the highest discriminant power, allowing us to consider the differences as statistically significant – CD3+CD4+ and T-reg cells in tumors. When dividing EC patients into groups based on the prediction of time to disease progression, coefficients were calculated and mathematical functions were determined for three discriminant functions (F0 , F6–12, F12–24) organized into a model. The F coefficient calculated for each patient allowed us to predict the risk of EC progression 6–12 and 12–24 months after surgery or the absence of disease progression within 3 years after surgery.Conclusions. The development of EC progression after surgery is apparently influenced by the lymphocytic microenvironment, predominantly by CD3+CD4+ and T-regs; their determination and inclusion in the prognostic algorithm can be important for personalized approach to the treatment of EC patients.

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Section: клинические примеры использования разработанного алгоритмаunclassified

Individual Prognostic Algorithm for Estimating the Risk of Esophageal Cancer Progression After Surgical Treatment

et al. 2020

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“…Порушення регуляції взаємодії активаційних та інгібіторних сигналів призводить до нездатності клітин-ефекторів пригнічувати зростання пухлини. Даному порушенню відводять важливу роль у механізмах уникнення пухлиною імунологічного надзору, що у багатьох випадках визначає клінічний результат хвороби [7].…”

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“…Обговорення При багатьох видах пухлин значний відсоток лімфоцитів, що інфільтрують пухлину, експресує PD-1, а в клітинах солідних пухлин визначається підвищена експресія ліганда PD-L1 [7,26].…”

Section: рис 3 високий рівень експресії Pd-l1 в клітинах нс реакція з мкат до Pd-l1 (Clone 130021) ×100unclassified

The investigation of PD-L1 expression as a prognostic marker for uterine sarcoma.

Sukhin¹,

Danyliuk²,

Сухіна³

et al. 2018

Morphologia

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радіології ім. С.П. Григор'єва НАМН України», Харкiв 2 Харківська медична академія післядипломної освіти, 3 КЗ «Херсонський обласний онкологічний диспансер» 4 Університет м. Умео, Швеція 5 Центральна клініка м. Фалунь, Швеція

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Subpopulation Composition of Peripheral Blood Lymphocytes in Uveal Melanoma

et al. 2019

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Uveal melanoma is a malignant neuroectodermal tumor. Despite of radical primary treatment with the use of enucleation of the eye or radiation therapy, almost in 50% of patients develop metastatic disease. The effectiveness of various methods of treatment of malignant tumors, the prognosis of the disease largely depend on the state of the patient's immune system. Data on the ratio of lymphocytes of different populations, their relationship with the stages of uveal melanoma are currently not available. 84 patients with uveal melanoma were examined (44 women and 40 men; mean age 53.7 ± 12.2 years). In group 1 (small tumors) included 36 patients, in the 2nd (medium-sized tumors) - 26 patients, 22 patients made up the 3rd group (large tumors). The control group included 33 practically healthy donors. The material of the study was samples of whole blood taken from the ulnar vein on an empty stomach in the morning with the help of vacuum systems in test tubes Vacuette® with anticoagulant K3EDTA. Immunophenotyping was performed using flow laser cytofluorimetry using the Multitest 6-Color TBNK Reagent monoclonal antibody system in BD TruСount test tubes (Becton Dickinson, USA), BD FACSCanto II cytometer (Becton Dickinson, USA). Erythrocyte lysis and leukocyte fixation were performed using a BD FACS ™ Lysing Solution lysing solution (Becton Dickinson, USA). The relative and absolute levels of lymphocyte populations and subpopulations were determined in the Canto program (Becton Dickinson, USA), with the selection of the analyzed region in the general population expressing CD45 + antigen and cell granularity (CD45 + PerCP-Cy5,5 * / SSC); fluorochromes labeled antibodies to CD3 + (FITC), CD4 + (PE-Cy7 *), CD8 + (APC-CY7 *), CD16 + / 56 + (PE), CD19 + (APC *) were used to differentiate: T-lymphocytes (CD3 +), T-helper cells (CD3 + CD4 + CD8-), T-cytotoxic (CD3 + CD4-CD8 +), T-double positive (CD3 + CD4 + CD8 +), NK-cells (CD16 + CD56 +), B-lymphocytes (CD19 +) , calculate the ratio of CD3 + CD4 + / CD3 + CD8 + subpopulations - the index reflecting the balance of T-helper cells and cytotoxic T-cells (CD4 + / CD8 +). Our individual analysis of the composition of lymphocytes allows us to conclude that the growth of uveal melanoma is accompanied by systemic multidirectional changes in the qualitative and quantitative composition of immunocompetent cells, affecting both innate (NK cells) and adaptive (T-lymphocytes) links of antitumor immune defense. The results are important for the development of personalized approaches to the prognosis and treatment of patients with uveal melanoma. The dynamics of changes in the quantitative composition of lymphocyte subpopulations in oncological diseases may be of value for monitoring immunotherapeutic effects and supplement the clinical assessment of the course of the underlying disease.

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New capabilities of regulation of antitumor immune response

Cited by 5 publications

References 5 publications

Individual Prognostic Algorithm for Estimating the Risk of Esophageal Cancer Progression After Surgical Treatment

Individual Prognostic Algorithm for Estimating the Risk of Esophageal Cancer Progression After Surgical Treatment

The investigation of PD-L1 expression as a prognostic marker for uterine sarcoma.

Subpopulation Composition of Peripheral Blood Lymphocytes in Uveal Melanoma

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