| Literature DB >> 32849640 |
Wei Zhang1, Yimin Shen2,3, Huanhuan Huang3,4, Sheng Pan5, Jingxin Jiang3,4, Wuzhen Chen3,4, Ting Zhang3, Chao Zhang6, Chao Ni3,4.
Abstract
Increasing evidence has revealed that the initiation and progression of breast cancer are greatly affected by the immune environment. Neutrophils are the most abundant leucocytes in circulation and act as the spearhead in inflammation, including in breast cancer. Circulating neutrophils are closely related to the prognosis of breast cancer patients, and tumor-infiltrating neutrophils have varied functions at different stages of breast cancer, such as antitumor or tumor-promoting neutrophils, which are termed N1 and N2 neutrophils, respectively. In this review, we will discuss the utility of circulating neutrophils for predicting prognosis and therapeutic efficacy and the underlying mechanisms of their chemotaxis, the dynamic regulation of their antitumor or protumor functions and their different spatial distributions in tumor microenvironment. Finally, we also discuss the possibility of targeting neutrophils as a therapeutic strategy in breast cancer.Entities:
Keywords: breast cancer; immuno-therapy; neutrophil-to-lymphocyte ratio; neutrophils; tumor microenvironment
Mesh:
Substances:
Year: 2020 PMID: 32849640 PMCID: PMC7426521 DOI: 10.3389/fimmu.2020.01779
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Characteristics of the studies related to neutrophil-to-lymphocyte ratio.
| Noh et al. ( | Korea | 2000–2010 | Luminal A/B, | 50 | NR | 5.9 ys | High NLR indicates lower survival rate ( | |
| Koh et al. ( | Korea | 2002–2010 | ER/PR-positive, | 44 | Surgery, NCT | 21 mo | Univariate analysis indicates high NLR related to lower RFS ( | |
| Yao et al. ( | China | 2009–2011 | Luminal A/B, | 50 | Surgery | 5.9 ys | High NLR indicates lower 5-year OS. | |
| Pistelli et al. ( | Italy | 2006–2012 | TNBC | 53 | NR | 53.8 mo | Multivariate analysis indicates high pretreatment NLR is correlated with poor DFS ( | |
| Ulas et al. ( | Turkey | 2009–2014 | HER2-enriched | 51.4 | Adjuvant transtuzumab | 26 mo | High pretreatment NLR indicates shorter DFS. | |
| Jia et al. ( | China | 2000–2010 | ER /PR-positive, | 47 | NCT, surgery | 79 mo | Multivariate analysis indicates low NLR is related to superior DFS ( | |
| Bozkurt et al. ( | Turkey | 2002–2013 | TNBC | 50 | Surgery, adjuvant chemotherapy, and radiotherapy | 60 mo | Multivariate analysis indicates high pretreatment NLR is correlated with poor DFS ( | |
| Asano et al. ( | Japan | 2007–2013 | TNBC | 56 | NCT | 3.4 ys | Univariate analysis indicates low NLR is related to favorable prognosis in TNBC patients who achieved pCR ( | |
| Rimando et al. ( | USA | 2001–2013 | Non-metastatic BC | 58 | Radiotherapy, chemotherapy | 61 mo | High pretreatment NLR indicates poor all-cause mortality, with a multivariable HR of 2.31 (95% CI: 1.10–4.86). | |
| Iwase et al. ( | Japan | 2005–2014 | TNBC | 50.9 | Chemotherapy | NR | High NLR upon recurrence indicates shorter OS recurrence rates ( | |
| Hernandez et al. ( | Spain | 2003–2016 | Luminal A/B, ER/PR-positive, HER2-enriched, TNBC | 49.8 | NCT, surgery | 24 mo | Low NLR indicates higher OS ( | |
| Miyagawa et al. ( | Japan | 2010–2017 | Locally Advanced or Metastatic BC | 63 | Eribulin | NR | Low NLR indicates better PFS ( | |
| Ferroni et al. ( | Italy | 2007–2017 | Luminal A/B, HER2-enriched, TNBC | 57 | NCT, chemotherapy, endocrine therapy; trastuzumab regimens | 45.6 mo | High pretreatment NLR indicates worse DFS (HR = 2.28) and OS (HR = 3.39). | |
| Qiu et al. ( | China | 2006–2013 | Non-metastatic TNBC | 50 | Surgery, NCT, chemotherapy | 54.3 mo | Low NLR indicates higher OS ( | |
| Iimori et al. ( | Japan | 2004–2013 | Luminal A/B, HER2-enriched, TNBC | 63 | Endocrine therapy | 38.8 mo | Low NLR indicates a prolongation of PFS ( | |
| Mando et al. ( | Argentina | 2011–2014 | Early stage BC | 56 | Surgery | 38.6 mo | High NLR indicates lower DFS ( | |
| Lee et al., ( | Korea | 2008–2015 | TNBC | 51 | NCT | NR | Low NLR indicates superior OS ( | |
| Xuan et al. ( | China | 2006–2008 | TNBC | 50 | Surgery | NR | Low NLR indicates longer DFS ( | |
| Fujmoto et al. ( | Japan | 2005–2016 | With high counts of lymphocytes | 30.7 | Surgery, adjuvant chemotherapies, endocrine therapies | NR | Low NLR indicates better RFS ( | |
| Imamura et al. ( | Japan | 2011–2017 | HER2-enriched | 53 | Trastuzumab emtansine | NR | Low NLR at baseline indicates better PFS ( |
NLR, Neutrophil-to-lymphocyte ratio; ER, Estrogen receptor; PR, Progesterone receptor; HER2, Human epidermal growth factor receptor 2; Mo, Months; Ys, Years; DFS, Disease-free survival; OS, Overall survival; PFS, Progression-free survival; RFS, Relapse free survival; pCR, Pathological complete response; TNBC, Triple-negative breast cancer; NCT, Neoadjuvant chemotherapy; NR, Not recorded.
Figure 1Schematic diagram of spatial distribution and functional of TANs in early and late stage breast cancer. As a quick response, tumor associated neutrophils (TANs) are scattered around the periphery of the tumor site in early stage, and exert tumor inhibition function; with tumor progression, the TANs are more likely to distributed among and direct contact with tumor cells, and function as tumor promoting cells via shaping immune suppressive microenvironment, enhancing angiogenesis, and caner metastasis.
Figure 2Abundance of tumor infiltrating neutrophils in breast cancer. CIBERSORT algorithm analysis was performed based on mRNA expression datasets (GSE6532, GSE9195, GSE16446, GSE17907, GSE19615, GSE20685, GSE20713, GSE21563, GSE31448, GSE42568, GSE48390, and GSE58984). Comparison of breast cancer infiltrating neutrophils with different molecular subtype (A), grade (B), tumor size (C), and lymph nodes metastasis (D); original data based on mass cytometry (141) was extracted and re-analyzed to evaluate the abundance of neutrophil stratified with different tumor size (E), grade (F), and lymph nodes metastasis (G), relative proportion of neutrophils between juxta-tumoral and tumor tissues among different tumor size was also presented (H).
Figure 3Anti- and pro-tumor function of neutrophils in breast cancer. Due to the dynamic regulation of neutrophils in tumor microenvironment, it can either function as inhibit or promote tumor progression. The anti-tumor neutrophils can exert anti-tumor function through antibody-dependent cellular cytotoxicity (ADCC) effect, produce HOCI, ROS, TNF-α, and NO as direct killing effect, and suppress immune suppressive cells, such as IL-17 producing γδ T cells. To the contrary, pro-tumor neutrophils can produce CCL2 and CCL17 to recruit CD4+ Treg cells and anti-inflammatory macrophages, together with release arginase-1 to inhibit the activation of CD8+ cells, therefore promote immune suppressive microenvironment; they also promote tumor angiogenesis via release MMP9 and VEGF and produce NETs to escort circulating tumor cells and promote cancer metastasis; finally, neutrophils could release elastase, IL-6, IL-1β, and IL-17 to promote tumor cells proliferation and EMT directly.