ReviewThe association between IL-1 family gene polymorphisms and colorectal cancer: A meta-analysis
Introduction
Colorectal cancer (CRC) represents a high proportion of cancer-related mortality and morbidity throughout the world. Recent epidemiology data revealed that approximately 1.8 million new cases were identified in 2018 worldwide, and CRC currently ranks as the third most common cause of cancer-related deaths (Bray et al., 2018). Moreover, it was estimated that 975,396 new cancer cases occurred among young adults worldwide in 2012, indicating that patients are increasingly younger (Fidler et al., 2017). Colorectal cancer is a serious health problem in the world as it is a major cause of mortality. The 5-year survival rate is <12% (Geng et al., 2017). Thus, actions should be taken to deal with this malignant tumor due to the rapid increase in the incidence and mortality of colorectal cancer (Hu et al., 2015). Unfortunately, the exact pathology and ethology of CRC remains unknown, but accumulating evidence suggests that genetic and environmental factors are associated with colorectal cancer. Numerous studies have demonstrated that single nucleotide polymorphisms (SNPs) plays a central role in the onset and development of CRC (Gulubova et al., 2018, Hu et al., 2012, Jafari-Nedooshan et al., 2019, Zhou and Bai, 2019).
Interleukin (IL)-1 has emerged as an indispensable member of the cytokine family, which is involved in innate inflammation and acquired immunity with new, unexpected vistas (Dinarello, 2018). The IL-1 gene family, including IL1α, IL1β and IL1RN, is located on chromosome 2q14, and these three related genes encode IL-1 alpha (IL-1α) protein, IL-1 beta (IL-1β) protein and IL-1 receptor antagonist (IL-1 Ra) protein, respectively (Voronov and Apte, 2015). In recent years, researchers have found that IL-1 acts at different levels in tumor initiation and progression and drives chronic inflammation, tumor angiogenesis, invasion and metastasis (Malik and Kanneganti, 2018, Mantovani et al., 2018). IL-1α and IL-1β, the two major IL-1 agonistic molecules, are pro-inflammatory cytokines involved in tumorigenesis (Grigaitis et al., 2019). IL-1α serves as a pleiotropic cytokine in human cancer progression, inflammatory responses and various immune activities, and secreted IL-1α is an active form that induces the tissue damage and tumor growth together with other regulatory factors (Kasza, 2013). IL-1α is generally accepted to be involved in the malignant process in CRC, including colon homeostasis, inflammation, carcinogenesis, and invasion (Voronov and Apte, 2015). Using a mouse model of colitis-associated cancer, Wang Y confirmed that infiltrating neutrophils secrete IL-1β, which promotes tumorigenesis by inducing IL-6 production by intestinal mononuclear phagocytes (Wang et al., 2014). In contrast, IL-1Ra as a natural endogenous biologic antagonist of the IL-1 receptor, can prevent downstream signaling in the presence of its agonists IL-1α and IL-1β (Kurzrock et al., 2019).
Recently, numerous studies on human polymorphisms in IL-1α, IL-1β, and IL-1RN have been performed, revealing that these polymorphisms are linked to the risk of colorectal cancer (Abbasian et al., 2018, Burada et al., 2013, Viet et al., 2005, Wang et al., 2015). However, controversial results have been obtained. Some studies found that the IL-1 gene was associated with an increased risk of CRC, whereas several studies indicated no obvious associations between the IL-1 gene and CRC. Due to a range of factors, such as the small number of subjects in a single study and gene-environment interactions, whether IL-1 family gene polymorphisms are related to CRC risk remains unclear to date. Meta-analysis could enhance the statistical power and allow more reliable conclusions to be drawn compared with a single study (Stroup et al., 2000). Hence, the present meta-analysis was conducted to further assess the effects of eight single nucleotide polymorphisms, namely, IL-1α (rs 3783553), IL-1β (+31C/T, +3954Ins/Del, +511C/T, +1464C/T, +3737G/A) and IL-1Ra gene variants (VNTR, +2018 T/C), on colorectal cancer.
Section snippets
Identification of eligible studies
We search PubMed, Embase, Web of Science, Cochrane Library, CNKI (China National Knowledge Infrastructure) and Wan Fang databases for all relevant reports (updated to Dec 31, 2019) using the following key words (“CRC” OR “colorectal cancer ” OR “colon cancer OR rectal cancer”), (“IL-1”OR Interleukin 1) AND (“polymorphism” OR “variant” OR “SNP” OR “allele”). The publication language was limited to English or Chinese. Studies were also identified by a manual search of the reference lists of
Studies included in the meta-analysis
A total of 369 articles were collected by using the search strategy initially. Fig. 1 summarizes the search and screening process. Finally, 18 articles containing 26 case-control studies meeting the inclusion and exclusion criteria were considered to be eligible for inclusion in this meta-analysis (Abbasian et al., 2018, Andersen et al., 2013, Burada et al., 2013, Chen et al., 2019, Cho et al., 2017, Ibrahimi et al., 2019, Ito et al., 2007, Kutikhin et al., 2014, Ma et al., 2018, Macarthur et
Discussion
Colorectal cancer represents a major public health problem given its high incidence and mortality. Numerous studies have demonstrated a relationship between colorectal cancer and gene mutation (Elshazli et al., 2020, Li et al., 2020). However, the mechanisms by which different gene mutations influence an individual’s susceptibility to developing colorectal cancer have not yet been clearly elucidated. Inflammation is associated with genetic instability and stromal mechanisms that affect the CRC
Conclusion
In conclusion, this meta-analysis demonstrated that IL-1α rs3783553, IL-1β + 31C/T, IL-1β + 511C/T and IL-1RN VNTR are critical genes for CRC susceptibility. In addition, significant associations were noted between IL-1β + 511 C/T as well as IL-1RN + 2018 T/C and CRC among Asians. In addition, the IL-1β + 1464 G/C polymorphism was associated with CRC in Caucasians. Given the limitation of our study, these conclusions need to be carefully explained. We emphasize that large studies with more
CRediT authorship contribution statement
Li Liu: Methodology, Data curation, Software, Writing - original draft. Zhenglong Zhai: Data curation, Software, Writing - original draft. Danyang Wang: Data curation, Methodology, Resources. Yun Ding: Investigation, Project administration. Xiaoqing Chen: Investigation, Project administration. Qiqi Wang: Resources, Supervision. Zheyue Shu: Resources, Supervision. Minglan Wu: Resources, Visualization. Lei Chen: Formal analysis, Supervision. Xuelin He: Formal analysis, Supervision. Dazhi Fan:
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This work was supported by the Foundation of Zhejiang Educational Committee (no. Y201738284) and Traditional Chinese Medicine Foundation of Zhejiang Province (no. 2018ZA068).
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These two authors contributed equally to this work.