Integral characteristic of the immune system state predicts breast cancer outcome

Summary. The immune system dramatically contributes to the pathogenesis of cancer. An integral estimation of immune system state is considered to be perspective as a prognostic criterion for cancer. We hypothesize that the integral characteristic, uniting numerous parameters of immune response to tu...

Повний опис

Збережено в:
Бібліографічні деталі
Дата:2023
Автори: Stakheyeva, M., Eidenzon, D., Slonimskaya, E., Patysheva, M., Bogdashin, I., Kolegova, E., Grigoriev, E., Choinzonov, E., Cherdyntseva, N.
Формат: Стаття
Мова:English
Опубліковано: PH Akademperiodyka 2023
Теми:
Онлайн доступ:https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-13
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
Назва журналу:Experimental Oncology

Репозитарії

Experimental Oncology
id oai:ojs2.ex.aqua-time.com.ua:article-271
record_format ojs
institution Experimental Oncology
baseUrl_str
datestamp_date 2025-04-30T12:08:14Z
collection OJS
language English
topic breast cancer
cancer outcome
cancer prognosis
immune system.
spellingShingle breast cancer
cancer outcome
cancer prognosis
immune system.
Stakheyeva, M.
Eidenzon, D.
Slonimskaya, E.
Patysheva, M.
Bogdashin, I.
Kolegova, E.
Grigoriev, E.
Choinzonov, E.
Cherdyntseva, N.
Integral characteristic of the immune system state predicts breast cancer outcome
topic_facet breast cancer
cancer outcome
cancer prognosis
immune system.
breast cancer
cancer outcome
cancer prognosis
immune system.
format Article
author Stakheyeva, M.
Eidenzon, D.
Slonimskaya, E.
Patysheva, M.
Bogdashin, I.
Kolegova, E.
Grigoriev, E.
Choinzonov, E.
Cherdyntseva, N.
author_facet Stakheyeva, M.
Eidenzon, D.
Slonimskaya, E.
Patysheva, M.
Bogdashin, I.
Kolegova, E.
Grigoriev, E.
Choinzonov, E.
Cherdyntseva, N.
author_sort Stakheyeva, M.
title Integral characteristic of the immune system state predicts breast cancer outcome
title_short Integral characteristic of the immune system state predicts breast cancer outcome
title_full Integral characteristic of the immune system state predicts breast cancer outcome
title_fullStr Integral characteristic of the immune system state predicts breast cancer outcome
title_full_unstemmed Integral characteristic of the immune system state predicts breast cancer outcome
title_sort integral characteristic of the immune system state predicts breast cancer outcome
title_alt Integral characteristic of the immune system state predicts breast cancer outcome
description Summary. The immune system dramatically contributes to the pathogenesis of cancer. An integral estimation of immune system state is considered to be perspective as a prognostic criterion for cancer. We hypothesize that the integral characteristic, uniting numerous parameters of immune response to tumor and presenting the state of the immune system of a cancer patient, may be of prognostic significance. The aim of this work was to verify this hypothesis. Materials and Methods: We have evaluated 17 parameters cha­racterizing key innate and adaptive arms of immune system in 146 patients with primary diagnosed local breast cancer (BC) before cancer treatment. Using the original integrative approach of NovoSpark Corporation (Canada), we have presented the state of the immune system by a single visual image for each patient. Results: We classified all BC patients in two groups: with favorable and unfavorable immune system states according to our previous data demonstrating dramatic differences of the visual images of immune system states in patients with good or poor disease outcomes. Then, we have examined the relationship between integral characteristic of the immune system state and the clinical outcome. The 3-year disease-free survival (DFS) of BC patients with favorable immune system state was more than 96.0% vs 65.4% in patients with unfavorable status (p = 0.00006). Univariate Cox proportional hazards regression analysis showed that the integral characteristic of immune system state assessed prior to cancer treatment as unfavorable, was predictive of the poorer DFS (HR = 15.70 [2.15–114.90], p = 0.0007). Conclusion: The integral characteristic of the immune system state is a significant prognostic factor in BC patients. The BC patients with favorable integral immune system state can be considered as a target group for immunotherapeutic approach.
publisher PH Akademperiodyka
publishDate 2023
url https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-13
work_keys_str_mv AT stakheyevam integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT eidenzond integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT slonimskayae integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT patyshevam integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT bogdashini integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT kolegovae integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT grigorieve integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT choinzonove integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
AT cherdyntsevan integralcharacteristicoftheimmunesystemstatepredictsbreastcanceroutcome
first_indexed 2025-07-17T12:17:16Z
last_indexed 2025-07-17T12:17:16Z
_version_ 1850411342977040384
spelling oai:ojs2.ex.aqua-time.com.ua:article-2712025-04-30T12:08:14Z Integral characteristic of the immune system state predicts breast cancer outcome Integral characteristic of the immune system state predicts breast cancer outcome Stakheyeva, M. Eidenzon, D. Slonimskaya, E. Patysheva, M. Bogdashin, I. Kolegova, E. Grigoriev, E. Choinzonov, E. Cherdyntseva, N. breast cancer, cancer outcome, cancer prognosis, immune system. breast cancer, cancer outcome, cancer prognosis, immune system. Summary. The immune system dramatically contributes to the pathogenesis of cancer. An integral estimation of immune system state is considered to be perspective as a prognostic criterion for cancer. We hypothesize that the integral characteristic, uniting numerous parameters of immune response to tumor and presenting the state of the immune system of a cancer patient, may be of prognostic significance. The aim of this work was to verify this hypothesis. Materials and Methods: We have evaluated 17 parameters cha­racterizing key innate and adaptive arms of immune system in 146 patients with primary diagnosed local breast cancer (BC) before cancer treatment. Using the original integrative approach of NovoSpark Corporation (Canada), we have presented the state of the immune system by a single visual image for each patient. Results: We classified all BC patients in two groups: with favorable and unfavorable immune system states according to our previous data demonstrating dramatic differences of the visual images of immune system states in patients with good or poor disease outcomes. Then, we have examined the relationship between integral characteristic of the immune system state and the clinical outcome. The 3-year disease-free survival (DFS) of BC patients with favorable immune system state was more than 96.0% vs 65.4% in patients with unfavorable status (p = 0.00006). Univariate Cox proportional hazards regression analysis showed that the integral characteristic of immune system state assessed prior to cancer treatment as unfavorable, was predictive of the poorer DFS (HR = 15.70 [2.15–114.90], p = 0.0007). Conclusion: The integral characteristic of the immune system state is a significant prognostic factor in BC patients. The BC patients with favorable integral immune system state can be considered as a target group for immunotherapeutic approach. Summary. The immune system dramatically contributes to the pathogenesis of cancer. An integral estimation of immune system state is considered to be perspective as a prognostic criterion for cancer. We hypothesize that the integral characteristic, uniting numerous parameters of immune response to tumor and presenting the state of the immune system of a cancer patient, may be of prognostic significance. The aim of this work was to verify this hypothesis. Materials and Methods: We have evaluated 17 parameters cha­racterizing key innate and adaptive arms of immune system in 146 patients with primary diagnosed local breast cancer (BC) before cancer treatment. Using the original integrative approach of NovoSpark Corporation (Canada), we have presented the state of the immune system by a single visual image for each patient. Results: We classified all BC patients in two groups: with favorable and unfavorable immune system states according to our previous data demonstrating dramatic differences of the visual images of immune system states in patients with good or poor disease outcomes. Then, we have examined the relationship between integral characteristic of the immune system state and the clinical outcome. The 3-year disease-free survival (DFS) of BC patients with favorable immune system state was more than 96.0% vs 65.4% in patients with unfavorable status (p = 0.00006). Univariate Cox proportional hazards regression analysis showed that the integral characteristic of immune system state assessed prior to cancer treatment as unfavorable, was predictive of the poorer DFS (HR = 15.70 [2.15–114.90], p = 0.0007). Conclusion: The integral characteristic of the immune system state is a significant prognostic factor in BC patients. The BC patients with favorable integral immune system state can be considered as a target group for immunotherapeutic approach. PH Akademperiodyka 2023-06-08 Article Article application/pdf https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-13 10.32471/exp-oncology.2312-8852.vol-41-no-1.12593 Experimental Oncology; Vol. 41 No. 1 (2019): Experimental Oncology; 32-38 Експериментальна онкологія; Том 41 № 1 (2019): Експериментальна онкологія; 32-38 2312-8852 1812-9269 10.32471/exp-oncology.2312-8852.vol-41-no-1 en https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-13/2019-1-13 Copyright (c) 2023 Experimental Oncology https://creativecommons.org/licenses/by-nc/4.0/