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Xu S, Li Y, Chen W, Wang K. Investigating causal relationship among inflammatory cytokines and oropharyngeal cancer: Mendelian randomization. Discov Oncol 2025; 16:92. [PMID: 39869291 PMCID: PMC11772633 DOI: 10.1007/s12672-025-01809-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2024] [Accepted: 01/13/2025] [Indexed: 01/28/2025] Open
Abstract
OBJECTIVES This study aims to use Mendelian randomisation to identify the causal relationship between a spectrum of 41 inflammatory cytokines and the development of oropharyngeal cancer. METHODS This study investigated genetic variants that have been associated with oral and oropharyngeal cancer using data from a large GWAS. Inflammatory cytokine data were obtained from 8293 asymptomatic individuals. The study primarily used inverse variance weighted and MR-Egger methods to determine the causal relationship between inflammatory cytokines and cancer incidence, complemented by a series of sensitivity analyses including MR-Egger, simple mode, weighted mode, weighted median and leave-one-out approaches. RESULTS Our study demonstrates that higher levels of interleukin-7 (IL-7) and interleukin-5 (IL-5) slightly increase the odds of oropharyngeal cancer by 0.07% [OR: 1.0007, p = 0.005] and 0.04% [OR: 1.0004, p = 0.015], corresponding to a modest increase. Similarly, increased PDGF-bb and CTACK levels are modestly associated with increased odds of oral and oropharyngeal cancer by 0.22% [OR: 1.0022, p = 0.031] and 0.17% [OR: 1.0017, p = 0.043], respectively. CONCLUSION This investigation posits that IL-5 and IL-7 may be pertinent factors in the etiology of Oropharyngeal cancer, while PDGF bb and CTACK are likely implicated in the pathogenesis of both oral and oropharyngeal cancers.
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Affiliation(s)
- Sibo Xu
- Department of Stomatology, Hangzhou Linping District First People's Hospital, Hangzhou, China
| | - Yiguo Li
- Department of Stomatology, Hangzhou Linping District First People's Hospital, Hangzhou, China
| | - Wei Chen
- Department of Stomatology, Hangzhou Linping District First People's Hospital, Hangzhou, China
| | - Ke Wang
- Department of Stomatology, Hangzhou Linping District First People's Hospital, Hangzhou, China.
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Jin J, Li Y, Zhao Q, Chen Y, Fu S, Wu J. Coordinated regulation of immune contexture: crosstalk between STAT3 and immune cells during breast cancer progression. Cell Commun Signal 2021; 19:50. [PMID: 33957948 PMCID: PMC8101191 DOI: 10.1186/s12964-021-00705-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 01/11/2021] [Indexed: 12/24/2022] Open
Abstract
Recent insights into the molecular and cellular mechanisms underlying cancer development have revealed the tumor microenvironment (TME) immune cells to functionally affect the development and progression of breast cancer. However, insufficient evidence of TME immune modulators limit the clinical application of immunotherapy for advanced and metastatic breast cancers. Intercellular STAT3 activation of immune cells plays a central role in breast cancer TME immunosuppression and distant metastasis. Accumulating evidence suggests that targeting STAT3 and/or in combination with radiotherapy may enhance anti-cancer immune responses and rescue the systemic immunologic microenvironment in breast cancer. Indeed, apart from its oncogenic role in tumor cells, the functions of STAT3 in TME of breast cancer involve multiple types of immunosuppression and is associated with tumor cell metastasis. In this review, we summarize the available information on the functions of STAT3-related immune cells in TME of breast cancer, as well as the specific upstream and downstream targets. Additionally, we provide insights about the potential immunosuppression mechanisms of each type of evaluated immune cells. Video abstract.
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Affiliation(s)
- Jing Jin
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Yi Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Qijie Zhao
- Department of Radiologic Technology, Center of Excellence for Molecular Imaging (CEMI), Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200 Thailand
- Department of Pathophysiology, College of Basic Medical Science, Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - Yue Chen
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, 646000 Sichuan People’s Republic of China
- Academician (Expert) Workstation of Sichuan Province, Luzhou, 646000 Sichuan People’s Republic of China
| | - Shaozhi Fu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
| | - JingBo Wu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan People’s Republic of China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, 646000 Sichuan People’s Republic of China
- Academician (Expert) Workstation of Sichuan Province, Luzhou, 646000 Sichuan People’s Republic of China
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Elnaggar J, Tsien F, Yates C, Davis M, Miele L, Hicks C. An Integrative Genomics Approach for Associating Genetic Susceptibility with the Tumor Immune Microenvironment in Triple Negative Breast Cancer. BIOMEDICAL JOURNAL OF SCIENTIFIC & TECHNICAL RESEARCH 2019; 15:11074-11085. [PMID: 38618278 PMCID: PMC11013954 DOI: 10.26717/bjstr.2019.15.002642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Background Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. It is a heterogeneous disease with poor prognosis. Contributing to the worse prognosis in TNBC is the higher rates of relapse and rapid progression to metastatic disease which is often lethal. With the exception of cytotoxic chemotherapy, there is currently no effective targeted therapies. Immunotherapy such as vaccines offer new opportunities for treatment of TNBC. But realizing the potential of immunotherapy and vaccination may require understanding the association between the tumor immune microenvironment and genetic susceptibility to TNBC. The objective of this exploratory study was to investigate the potential association between genetic susceptibility and tumor immune microenvironment in TNBC. Methods We integrated information on genetic variants and genes associated with an increased risk of developing breast cancer with gene expression data from the Caucasian women diagnosed with the basal-like immune activated (N=54) and basal-like immune suppressed (N=60) subtypes of TNBC to discover and characterize immune modulated gene signatures, molecular networks and biological pathways enriched for genetic susceptibility variants. Results The investigation revealed immune modulated gene signatures, molecular networks and biological pathways enriched for genetic susceptibility variants. The discovered pathways included the role of BRCA1 in DNA damage response, hereditary breast cancer, aryl hydrocarbon receptor and molecular mechanisms of cancer signaling pathways. Conclusion The investigation suggests the link between genetic susceptibility and the tumor immune microenvironment in TNBC and establishes putative functional bridges between genetic predisposition and immune modulated pathways.
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Affiliation(s)
- Jacob Elnaggar
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Fern Tsien
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Clayton Yates
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee AL, 36088
| | - Melisa Davis
- Henry Ford Health System, One Ford Place, 3CE, Detroit, MI 48202
| | - Lucio Miele
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
| | - Chindo Hicks
- Department of Genetics Louisiana State University Health Sciences Center-School of Medicine, 533 Bolivar Street, New Orleans, LA 70112
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Ambrocio-Ortiz E, Pérez-Rubio G, Abarca-Rojano E, Montaño M, Ramos C, Hernández-Zenteno RD, Del Angel-Pablo AD, Reséndiz-Hernández JM, Ramírez-Venegas A, Falfán-Valencia R. Influence of proinflammatory cytokine gene polymorphisms on the risk of COPD and the levels of plasma protein. Cytokine 2018; 111:364-370. [DOI: 10.1016/j.cyto.2018.09.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Revised: 09/05/2018] [Accepted: 09/26/2018] [Indexed: 01/10/2023]
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Sirisena ND, Adeyemo A, Kuruppu AI, Samaranayake N, Dissanayake VHW. Genetic Variants Associated with Clinicopathological Profiles in Sporadic Breast Cancer in Sri Lankan Women. J Breast Cancer 2018; 21:165-172. [PMID: 29963112 PMCID: PMC6015979 DOI: 10.4048/jbc.2018.21.2.165] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 04/27/2018] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Several single nucleotide polymorphisms (SNPs) have been reported to be associated with clinicopathological profiles in sporadic breast cancer based on studies conducted on major population groups. The knowledge of the effects of these common genetic variants in South Asian populations remains limited. The present study aimed to investigate the association between a selected set of SNPs and the clinicopathological profiles in sporadic breast cancer in Sri Lankan women. METHODS A total of 350 postmenopausal women with histologically confirmed invasive breast cancer were genotyped for 58 SNPs located in 36 breast cancer related genes. The clinicopathological factors that were investigated included age of onset, tumor histologic grade, and lymph node involvement, as well as estrogen receptor (ER), progesterone receptor, and human epidermal growth factor receptor 2 (HER2) status. Association testing was performed using logistic regression models adjusted for confounding factors. RESULTS Seven SNPs showed significant associations with clinicopathological profiles in breast cancer. The G allele of BRCA1:rs799917 (p=0.047; β [standard error; SE]=-1.069 [0.537]) and the G allele of NQO2:rs17136117 (p=0.040, β [SE]=1.901 [0.923]) were found to be associated with age of onset between 50 and 59 years. The C allele of CDH1:rs13689 (odds ratio [OR], 2.121; p=0.033) was found to be associated with ER-positive breast cancer. The A allele of AKT1:rs1130214 (OR, 2.095; p=0.011) and the C allele of NQO2:rs2071002 (OR, 1.632; p=0.045) were associated with HER2-positive breast cancer. The C allele of BRCA2:rs15869 (OR, 1.600; p=0.041) and the C allele of CCND1:rs7177 (OR, 1.555; p=0.041) were associated with high tumor histologic grade. CONCLUSION The common genetic variants identified in the AKT1, BRCA1, BRCA2, CCND1, CDH1, and NQO2 genes could serve as potential clinical and prognostic biomarkers in sporadic breast cancer patients. Further studies are required to validate our current findings in other populations.
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Affiliation(s)
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, USA
| | | | - Nilakshi Samaranayake
- Department of Parasitology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
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Hong CC, Sucheston-Campbell LE, Liu S, Hu Q, Yao S, Lunetta KL, Haddad SA, Ruiz-Narváez EA, Bensen JT, Cheng TYD, Bandera EV, Rosenberg LA, Haiman CA, Lee K, Evans SS, Abrams SI, Repasky EA, Olshan AF, Palmer JR, Ambrosone CB. Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 2018; 27:321-330. [PMID: 29339359 PMCID: PMC5835191 DOI: 10.1158/1055-9965.epi-17-0434] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Revised: 08/23/2017] [Accepted: 01/02/2018] [Indexed: 11/16/2022] Open
Abstract
Background: Constitutional immunity shaped by exposure to endemic infectious diseases and parasitic worms in Sub-Saharan Africa may play a role in the etiology of breast cancer among African American (AA) women.Methods: A total of 149,514 gene variants in 433 genes across 45 immune pathways were analyzed in the AMBER consortium among 3,663 breast cancer cases and 4,687 controls. Gene-based pathway analyses were conducted using the adaptive rank truncated product statistic for overall breast cancer risk, and risk by estrogen receptor (ER) status. Unconditional logistic regression analysis was used to estimate ORs and 95% confidence intervals (CIs) for single variants.Results: The top pathways were Interleukin binding (P = 0.01), Biocarta TNFR2 (P = 0.005), and positive regulation of cytokine production (P = 0.024) for overall, ER+, and ER- cancers, respectively. The most significant gene was IL2RB (P = 0.001) for overall cancer, with rs228952 being the top variant identified (OR = 0.85; 95% CI, 0.79-0.92). Only BCL3 contained a significant variant for ER+ breast cancer. Variants in IL2RB, TLR6, IL8, PRKDC, and MAP3K1 were associated with ER- disease. The only genes showing heterogeneity between ER- and ER+ cancers were TRAF1, MAP3K1, and MAPK3 (P ≤ 0.02). We also noted genes associated with autoimmune and atopic disorders.Conclusions: Findings from this study suggest that genetic variants in immune pathways are relevant to breast cancer susceptibility among AA women, both for ER+ and ER- breast cancers.Impact: Results from this study extend our understanding of how inherited genetic variation in immune pathways is relevant to breast cancer susceptibility. Cancer Epidemiol Biomarkers Prev; 27(3); 321-30. ©2018 AACR.
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Affiliation(s)
- Chi-Chen Hong
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York.
| | | | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Stephen A Haddad
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | | | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Ting-Yuan David Cheng
- Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainsville, Florida
| | - Elisa V Bandera
- Cancer Prevention and Control, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Lynn A Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California
| | - Kelvin Lee
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | - Sharon S Evans
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | - Scott I Abrams
- Department of Immunology, Roswell Park Cancer Institute, Buffalo, New York
| | | | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
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Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese. Oncotarget 2018; 9:12796-12804. [PMID: 29560110 PMCID: PMC5849174 DOI: 10.18632/oncotarget.24374] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 01/25/2018] [Indexed: 11/25/2022] Open
Abstract
Genome-wide association studies (GWAS) have proven highly successful in identifying single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. The majority of these studies are on European populations, with limited SNP association data in other populations. We genotyped 51 GWAS-identified SNPs in two independent cohorts of Singaporean Chinese. Cohort 1 comprised 1294 BC cases and 885 controls and was used to determine odds ratios (ORs); Cohort 2 had 301 BC cases and 243 controls for deriving polygenic risk scores (PRS). After age-adjustment, 11 SNPs were found to be significantly associated with BC risk. Five SNPs were present in <1% of Cohort 1 and were excluded from further PRS analysis. To assess the cumulative effect of the remaining 46 SNPs on BC risk, we generated three PRS models: Model-1 included 46 SNPs; Model-2 included 11 statistically significant SNPs; and Model-3 included the SNPs in Model-2 but excluded SNPs that were in strong linkage disequilibrium with the others. Across Models-1, -2 and -3, women in the highest PRS quartile had the greatest ORs of 1.894 (95% CI = 1.157–3.100), 2.013 (95% CI = 1.227–3.302) and 1.751 (95% CI = 1.073–2.856) respectively, suggesting a direct correlation between PRS and BC risk. Given the potential of PRS in BC risk stratification, our findings suggest the need to tailor the selection of SNPs to be included in an ethnic-specific PRS model.
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Association between NF-κB Pathway Gene Variants and sICAM1 Levels in Taiwanese. PLoS One 2017; 12:e0169516. [PMID: 28095483 PMCID: PMC5240939 DOI: 10.1371/journal.pone.0169516] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Accepted: 12/19/2016] [Indexed: 01/12/2023] Open
Abstract
Intercellular adhesion molecule–1 (ICAM1) is crucial to the development and progression of atherosclerosis. Recent genome-wide association studies (GWAS) have revealed that single nucleotide polymorphisms (SNPs) in two of the nuclear factor-κB (NF-κB) pathway genes, NFKBIK and RELA, are associated with soluble ICAM1 (sICAM1) levels. However, neither of these two gene variants is found in the Asian populations. This study aimed to elucidate whether other candidate gene variants involved in the NF-κB pathway may be associated with sICAM1 levels in Taiwanese. After excluding carriers of the ICAM1 rs5491-T allele, three SNPs in the ICAM1 gene and eight SNPs in six of the NF-κB pathway genes (NFKB1, PDCD11, TNFAIP3, NKAPL, IKBKE, and PRKCB) were analyzed for their association with sICAM1 levels in 480 individuals. Our data showed that two SNPs, rs5498 of ICAM1 and rs1635 of NKAPL, were significantly associated with sICAM1 levels (P = 0.002 and 0.004, respectively) in the Taiwanese population. Using a multivariate analysis, rs5498 and rs1635 as well as the previously reported ABO genotypes and rs12051272 of the CDH13 gene were independently associated with sICAM1 levels (P = 0.001, 0.001, 0.006 and 0.031, respectively). An analysis with combined risk alleles of four candidate SNPs in the ICAM1, NKAPL, ABO, and CDH13 genes showed an increase in sICAM1 levels with added numbers of risk alleles and weighted genetic risk score. Our findings thus expanded the repertoire of gene variants responsible for the regulation of sICAM1 levels in the Asian populations.
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