Integral characteristic of the immune system state predicts breast cancer outcome

M. Stakheyeva, D. Eidenzon, E. Slonimskaya, M. Patysheva, I. Bogdashin, E. Kolegova, E. Grigoriev, E. Choinzonov, N. Cherdyntseva

Research output: Contribution to journalArticle

Abstract

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 3year diseasefree 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.

Original languageEnglish
Pages (from-to)32-38
Number of pages7
JournalExperimental Oncology
Volume41
Issue number1
DOIs
Publication statusPublished - 1 Mar 2019
Externally publishedYes

Fingerprint

Immune System
Breast Neoplasms
Neoplasms
Survival
Canada
Regression Analysis
Therapeutics

Keywords

  • Breast cancer
  • Cancer outcome
  • Cancer prognosis
  • Immune system

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Stakheyeva, M., Eidenzon, D., Slonimskaya, E., Patysheva, M., Bogdashin, I., Kolegova, E., ... Cherdyntseva, N. (2019). Integral characteristic of the immune system state predicts breast cancer outcome. Experimental Oncology, 41(1), 32-38. https://doi.org/10.32471/exp-oncology.2312-8852.vol-41-no-1.12593

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.

In: Experimental Oncology, Vol. 41, No. 1, 01.03.2019, p. 32-38.

Research output: Contribution to journalArticle

Stakheyeva, M, Eidenzon, D, Slonimskaya, E, Patysheva, M, Bogdashin, I, Kolegova, E, Grigoriev, E, Choinzonov, E & Cherdyntseva, N 2019, 'Integral characteristic of the immune system state predicts breast cancer outcome', Experimental Oncology, vol. 41, no. 1, pp. 32-38. https://doi.org/10.32471/exp-oncology.2312-8852.vol-41-no-1.12593
Stakheyeva M, Eidenzon D, Slonimskaya E, Patysheva M, Bogdashin I, Kolegova E et al. Integral characteristic of the immune system state predicts breast cancer outcome. Experimental Oncology. 2019 Mar 1;41(1):32-38. https://doi.org/10.32471/exp-oncology.2312-8852.vol-41-no-1.12593
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. In: Experimental Oncology. 2019 ; Vol. 41, No. 1. pp. 32-38.
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