Myeloid-Derived Suppressor Cell Function in Breast Cancer Patients

Author(s):  
2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110395
Author(s):  
Kenji Gonda ◽  
Shoichiro Horita ◽  
Yuko Maejima ◽  
Seiichi Takenoshita ◽  
Kenju Shimomura

The incidence of breast cancer increases annually, and it has become common within families of breast cancer patients. Interleukin-2 activates cytotoxic T lymphocytes, which are important for cancer immunity. To identify markers of increased familial breast cancer risk, soluble interleukin-2 receptor levels and immunologic factors were investigated in familial breast cancer and non-familial breast cancer patients. Of 106 untreated breast cancer patients in this study, 24 had familial breast cancer and 82 had non-familial breast cancer. The patients’ soluble interleukin-2 receptor, interleukin-10, vascular endothelial growth factor, interleukin-17, regulatory T cell, myeloid-derived suppressor cell, white blood cell, and C-reactive protein levels, and their neutrophil-to-lymphocyte ratios were measured, and their prognoses were compared according to the soluble interleukin-2 receptor levels. Additionally, postoperative tissues from the patients with high soluble interleukin-2 receptor levels were stained with programmed cell death ligand 1 and cluster of differentiation 8. The soluble interleukin-2 receptor level in the familial breast cancer patients was significantly higher, and it showed significantly stronger correlations with the neutrophil-to-lymphocyte ratio and the interleukin-10, vascular endothelial growth factor, interleukin-17, regulatory T cell, myeloid-derived suppressor cell, white blood cell, and C-reactive protein levels, than in the non-familial breast cancer patients. The regulatory T cell and myeloid-derived suppressor cell levels were significantly higher in the patients with high soluble interleukin-2 receptor levels, and the overall survival and disease-free-survival rates were significantly worse for the familial breast cancer patients than for the non-familial breast cancer patients. Triple-negative breast cancer tissues from the familial breast cancer patients with high soluble interleukin-2 receptor levels stained well for programmed cell death ligand 1 and cluster of differentiation 8. Soluble interleukin-2 receptor levels can be used to predict the prognosis of familial breast cancer patients. Prospectively identifying patients who are less likely to have non-familial breast cancer is vital for improving their overall survival.


1993 ◽  
Vol 29 ◽  
pp. S64
Author(s):  
C. Wiltschke ◽  
M. Krainer ◽  
A. Budinski ◽  
E. Tyl ◽  
P. Speiser ◽  
...  

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Jean-Sébastien Milanese ◽  
Chabane Tibiche ◽  
Jinfeng Zou ◽  
Zhigang Meng ◽  
Andre Nantel ◽  
...  

Abstract Germline variants such as BRCA1/2 play an important role in tumorigenesis and clinical outcomes of cancer patients. However, only a small fraction (i.e., 5–10%) of inherited variants has been associated with clinical outcomes (e.g., BRCA1/2, APC, TP53, PTEN and so on). The challenge remains in using these inherited germline variants to predict clinical outcomes of cancer patient population. In an attempt to solve this issue, we applied our recently developed algorithm, eTumorMetastasis, which constructs predictive models, on exome sequencing data to ER+ breast (n = 755) cancer patients. Gene signatures derived from the genes containing functionally germline variants significantly distinguished recurred and non-recurred patients in two ER+ breast cancer independent cohorts (n = 200 and 295, P = 1.4 × 10−3). Furthermore, we compared our results with the widely known Oncotype DX test (i.e., Oncotype DX breast cancer recurrence score) and outperformed prediction for both high- and low-risk groups. Finally, we found that recurred patients possessed a higher rate of germline variants. In addition, the inherited germline variants from these gene signatures were predominately enriched in T cell function, antigen presentation, and cytokine interactions, likely impairing the adaptive and innate immune response thus favoring a pro-tumorigenic environment. Hence, germline genomic information could be used for developing non-invasive genomic tests for predicting patients’ outcomes in breast cancer.


1994 ◽  
Vol 8 (3) ◽  
pp. 123-127 ◽  
Author(s):  
Katsumasa Kuroi ◽  
Yukio Sato ◽  
Yoshiyuki Yamaguchi ◽  
Tetsuya Toge

2018 ◽  
Author(s):  
Jean-Sébastien Milanese ◽  
Chabane Tibiche ◽  
Jinfeng Zou ◽  
Zhi Gang Meng ◽  
Andre Nantel ◽  
...  

AbstractGermline genetic variants such as BRCA1/2 play an important role in tumorigenesis and clinical outcomes of cancer patients. However, only a small fraction (i.e., 5-10%) of inherited variants has been associated with clinical outcomes (e.g., BRCA1/2, APC, TP53, PTEN and so on). The challenge remains in using these inherited germline variants to predict clinical outcomes of cancer patient population. In an attempt to solve this issue, we applied our recently developed algorithm, eTumorMetastasis, which constructs predictive models, on exome sequencing data to ER+ breast (n=755) cancer patients. Gene signatures derived from the genes containing functionally germline genetic variants significantly distinguished recurred and non-recurred patients in two ER+ breast cancer independent cohorts (n=200 and 295, P=1.4×10−3). Furthermore, we found that recurred patients possessed a higher rate of germline genetic variants. In addition, the inherited germline variants from these gene signatures were predominately enriched in T cell function, antigen presentation and cytokine interactions, likely impairing the adaptive and innate immune response thus favoring a pro-tumorigenic environment. Hence, germline genomic information could be used for developing non-invasive genomic tests for predicting patients’ outcomes (or drug response) in breast cancer, other cancer types and even other complex diseases.


1997 ◽  
Vol 20 (2) ◽  
pp. 117-123 ◽  
Author(s):  
AG Ageitos ◽  
K Ino ◽  
I Ozerol ◽  
S Tarantolo ◽  
DG Heimann ◽  
...  

2009 ◽  
Vol 37 (7) ◽  
pp. 838-848 ◽  
Author(s):  
Ameera Gaafar ◽  
Mahmoud Deeb Aljurf ◽  
Abdullah Al-Sulaiman ◽  
Alia Iqniebi ◽  
Pulicat S. Manogaran ◽  
...  

2018 ◽  
Vol 25 (2) ◽  
pp. 828-838 ◽  
Author(s):  
Masato Kobayashi ◽  
Jin-Sung Chung ◽  
Muhammad Beg ◽  
Yull Arriaga ◽  
Udit Verma ◽  
...  

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