| Literature DB >> 31861498 |
Katarzyna Kulcenty1,2, Igor Piotrowski1,2, Joanna Patrycja Wróblewska3, Janusz Wasiewicz4, And Wiktoria Maria Suchorska1,2.
Abstract
Invasive oncological procedures affect the remaining tumor cells by increasing their survival, proliferation, and migration through the induction of wound healing response. The phenomena of local relapse after breast-conserving surgery (BCS) has resulted in a series of research and clinical trials with the aim of assessing whether localized intraoperative radiotherapy (IORT), may be beneficial in inhibiting local recurrences. Therefore, it is essential to assess the impact of intraoperative radiotherapy in modulating the immunological response and wound healing process. Thus, we decided to perform a quantitative analysis of the composition of surgical wound fluids (SWF) in two groups of breast cancer (BC) patients: those treated with BCS followed by IORT, and those who underwent BCS alone. We found that several cytokines, which are believed to have anti-tumor properties, were highly expressed in the luminal A breast cancer subtype in the IORT treatment group. Interestingly, we also found significant differences between IORT patients with tumors of different molecular subtypes. Based on these findings, we hypothesized that IORT treatment might be beneficial in changing the tumor bed microenvironment, making it less favorable for tumor recurrence due to decreased concentration of tumor-facilitating cytokines, especially in the luminal A subtype of BC.Entities:
Keywords: breast cancer; breast-conserving surgery, intraoperative radiation therapy; cytokines; surgery-induced inflammation
Year: 2019 PMID: 31861498 PMCID: PMC7016654 DOI: 10.3390/cancers12010011
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Box plots (median and whiskers) presenting concentration of cytokines (pg/ml) of surgical wound fluids (SWF) collected from patients after breast conserving surgery (BCS) and breast conserving surgery followed by intraoperative radiation therapy (IORT). (A) Cytokines with decreased concentrations in IORT group. (B) Cytokines with increased concentrations in IORT group. Whiskers were calculated using Tuckey method based on GraphPad Prism software. Outliners are shown as dots. * p < 0.05, ** p < 0.01, *** p < 0.001: based on Mann–Whitney test.
Figure 2Heatmap representing concentration of all analyzed cytokines in BCS and IORT group distinguishing the molecular subtype of BC. To clarify the differences in cytokine concentrations, heatmap was divided into three: (A) 0–20 pg/ml, (B) 20–1000 pg/ml, (C) 1000–90000 pg/ml.
Figure 3Box plots (median and whiskers) presenting concentration of cytokines (pg/ml) of surgical wound fluids (SWF) collected from patients after breast conserving surgery (BCS) and breast conserving surgery followed by IORT (IORT) in luminal A subtype of breast cancer. Whiskers were calculated using Tuckey method based on GraphPad Prism software. Outliners are shown as dots. * p < 0.05, ** p < 0.01, *** p < 0.001: based on Kruskal–Wallis test with Dunn’s post hoc multiple comparison test.
Figure 4Box plots (median and whiskers) presenting concentration of cytokines (pg/ml) of surgical wound fluids (SWF) collected from patients after breast conserving surgery (BCS) and breast conserving surgery followed by IORT (IORT) in luminal B subtype of breast cancer. Whiskers were calculated using Tukey method based on GraphPad Prism software. Outliners are shown as dots. * p < 0.05, ** p < 0.01, *** p < 0.001: based on Kruskal–Wallis test with Dunn’s post hoc multiple comparison test.
Figure 5Box plots (median and whiskers) presenting concentration of cytokines (pg/ml) of surgical wound fluids (SWF) collected from patients after breast conserving surgery (BCS) and breast conserving surgery followed by IORT (IORT) in luminal A and luminal B subtype of breast cancer. Whiskers were calculated using Tukey method based on GraphPad Prism software. Outliners are shown as dots. * p < 0.05, ** p < 0.01, *** p < 0.001: based on Kruskal–Wallis test with Dunn’s post hoc multiple comparison test.
Role of immuno-modulatory molecules significantly changed in surgical wound fluids from BCS and IORT patients.
| Molecule | Mechanism | Reference |
|---|---|---|
| CTACK | Regulates T cell recruitment under homeostatic and inflammatory conditions | [ |
| G-CSF | Controls the maturation of neutrophils | [ |
| HGF | Induces cancer cell migration and invasion, wound healing, angiogenesis | [ |
| IL-1 beta | Inhibits the proliferation of some cancers, amplifies the function of dendritic cells, stimulates the proliferation and differentiation of CD4, CD8 and natural killer (NK) cells, increases antibody production by lymphocytes B, and finally increases the expression of adhesion molecules on vascular endothelium | [ |
| IL-12 | Induction of Th1 cells | [ |
| IL-13 | Induces the activation of M2 macrophages, polarizes M2a macrophages and induces migration and invasion of breast cancer cells | [ |
| IL-7 | Development of B cells and T cells, regulation of epithelial to mesenchymal transition (EMT) process in cancer | [ |
| IL-8 | Increased the formation of primary and secondary tumor spheres, as well as the cancer stem cell phenotype in BC | [ |
| MCP-1 | Increases monocyte mobilization and poor survival and is involved in monocyte polarization to M2-cells | [ |
| MCP-3 | Attracts monocytes, dendritic cells (DCs), and activated T lymphocytes, to invasion sites | [ |
| MIF | Induces myeloid-derived suppressor cells in tumor microenvironment | [ |
| PDGF-beta | Regulates metastasis and vascular remodeling in cancer | [ |
| RANTES | Promotes breast cancer progression, contributes to monocyte migration into tumor site, induces angiogenesis, promotes matrix metalloproteinase expression | [ |
| SCGF-beta | Previously not reported in cancer | |
| TNF | Pleiotropic cytokine, stimulates survival, proliferation, migration, and angiogenesis; induces apoptosis and inhibits proliferation | [ |
Patients’ characteristics.
| Feature | BCS Group ( | IORT Group ( |
|---|---|---|
| Age | 61.6 ± 10.1 | 61.5 ± 12.2 |
| Luminal subtype | ||
| A | 8 | 8 |
| B | 10 | 12 |
| Lymph node status | ||
| N0 | 11 | 11 |
| N1 | 7 | 9 |
| T1 classification | ||
| a | 0 | 1 |
| b | 5 | 6 |
| c | 13 | 13 |