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Genetic variant in miR-17-92 cluster binding sites is associated with esophageal squamous cell carcinoma risk in Chinese population. BMC Cancer 2022; 22:1253. [PMID: 36461008 PMCID: PMC9719157 DOI: 10.1186/s12885-022-10360-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/23/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) located in microRNA (miRNA) binding sites can affect the interactions between miRNAs and target genes, which is related to cancer susceptibility and tumorigenesis. However, the association between SNPs located in miR-17-92 cluster binding sites and ESCC risk remains unclear. Therefore, we aimed to explore the relationship between polymorphisms in miR-17-92 cluster binding sites and ESCC susceptibility. METHODS Six SNPs in the binding sites of miR-17-92 cluster were selected using bioinformatics databases, and their association with ESCC risk was investigated in a case-control study (including 488 cases and 512 controls) based on the population from high incidence areas of ESCC in China. We evaluated the SNP-SNP and SNP-smoking interactions using generalized multifactor dimensionality reduction (GMDR). Moreover, the expression of the miR-17-92 cluster and its target genes was determined in ESCC and adjacent normal tissues by quantitative real-time polymerase chain reaction (qRT-PCR). The dual-luciferase reporter assay was conducted to verify the effect of SNPs on the binding affinity between miRNAs and target genes. RESULTS We found that the SNP rs1804506 C > T had a significant association with the decreased ESCC risk. The SNP rs1804506 T allele was associated with a significantly decreased risk of ESCC in the additive model (OR = 0.817, 95% CI = 0.681-0.981, P = 0.030). The rs1804506 T allele had more striking effects on reducing ESCC risk in older individuals, female or non-smoker subgroups. We also found a significant interaction effect between rs1366600 and smoking by GMDR methods (P = 0.011). Additionally, the expression levels of miR-19a-3p and TGFBR3 were significantly downregulated in ESCC tissues compared with normal tissues, and the carriers of rs1804506 TT genotype had lower expression level of TGFBR3 than those of rs1804506 CC/CT genotype. Following dual-luciferase reporter assay showed that the rs1804506 T allele reduced the binding of miR-19a-3p and TGFBR3 3'-UTR. CONCLUSIONS Our findings suggest that the rs1804506 polymorphism in miR-17-92 cluster binding sites contributes to the susceptibility of ESCC, which might provide new clues and scientific evidence for the etiology and biomarkers for the prevention and treatment of ESCC.
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Hobani YH, Almars AI, Alelwani W, Toraih EA, Nemr NA, Shaalan AAM, Fawzy MS, Attallah SM. Genetic Variation in DEAD-Box Helicase 20 as a Putative Marker of Recurrence in Propensity-Matched Colon Cancer Patients. Genes (Basel) 2022; 13:1404. [PMID: 36011315 PMCID: PMC9407271 DOI: 10.3390/genes13081404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/21/2022] [Accepted: 08/02/2022] [Indexed: 12/04/2022] Open
Abstract
Variants of the DEAD-Box Helicase 20 (DDX20), one of the microRNAs (miRNAs) machinery genes, can modulate miRNA/target gene expressions and, hence, influence cancer susceptibility and prognosis. Here, we aimed to unravel the association of DDX20 rs197412 T/C variant with colon cancer risk and/or prognosis in paired samples of 122 colon cancer and non-cancer tissue specimens by TaqMan allelic discrimination analysis. Structural/functional bioinformatic analyses were carried out, followed by a meta-analysis. We found that the T allele was more frequent in cancer tissues compared to control tissues (60.2% vs. 35.7%, p < 0.001). Furthermore, the T variant was highly frequent in primary tumors with evidence of recurrence (73% vs. 47.5%, p < 0.001). Genetic association models, adjusted by age and sex, revealed that the T allele was associated with a higher risk of developing colon cancer under heterozygote (T/C vs. C/C: OR = 2.35, 95%CI = 1.25−4.44, p < 0.001), homozygote (T/T vs. C/C: OR = 7.6, 95%CI = 3.5−16.8, p < 0.001), dominant (T/C-T/T vs. C/C: OR = 3.4, 95%CI = 1.87−8.5, p < 0.001), and recessive (T/T vs. C/C-T/C: OR = 4.42, 95%CI = 2.29−8.54, p = 0.001) models. Kaplan−Meier survival curves showed the shift in the C > T allele to be associated with poor disease-free survival. After adjusting covariates using a multivariate cox regression model, patients harboring C > T somatic mutation were 3.5 times more likely to develop a recurrence (p < 0.001). A meta-analysis of nine studies (including ours) showed a higher risk of CRC (81%) in subjects harboring the T/T genotype than in T/C + C/C genotypes, supporting the potential clinical utility of the specified study variant as a biomarker for risk stratification in CRC cases. However, results were not significant in non-colorectal cancers. In conclusion, the DDX20 rs197412 variant is associated with increased colon cancer risk and a higher likelihood of recurrence in the study population.
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Affiliation(s)
- Yahya H. Hobani
- Medical Laboratory Technology, College of Applied Medical Sciences, Jazan University, Jazan 82911, Saudi Arabia
| | - Amany I. Almars
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Walla Alelwani
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah 80203, Saudi Arabia
| | - Eman A. Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA
- Genetics Unit, Department of Histology and Cell Biology, Suez Canal University, Ismailia 41522, Egypt
| | - Nader A. Nemr
- Endemic and Infectious Diseases Department, Suez Canal University, Ismailia 41522, Egypt
| | - Aly A. M. Shaalan
- Department of Anatomy, Faculty of Medicine, Jazan University, Jazan 45142, Saudi Arabia
- Department of Histology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Manal S. Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 1321, Saudi Arabia
| | - Samy M. Attallah
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
- Clinical Pathology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia
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Meng D, Liu T, Ma F, Wang M. Screening the key genes of prognostic value in the microenvironment for head and neck squamous cell carcinoma. Medicine (Baltimore) 2021; 100:e24184. [PMID: 33530209 PMCID: PMC7850760 DOI: 10.1097/md.0000000000024184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 12/12/2020] [Indexed: 01/05/2023] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the sixth common malignancy worldwide. The tumor microenvironment is highly related to tumor initiation, progression, and prognosis. This study aims to screen the tumor microenvironment related key genes of prognostic value for HNSCC.The gene expression and clinical data for HNSCC were downloaded from the cancer genome atlas (TCGA). The immune/stromal/ESTIMATE scores were downloaded from the website of the MD Anderson Cancer Center. Correlation of patient gender and tumor grade with immune/stromal/ESTIMATE score was tested. Patients were divided into low and high immune/stromal/ESTIMATE score subgroups. Survival analysis was performed to evaluate the prognostic value of the immune/stromal/ESTIMATE score. Tumor microenvironment related differentially expressed genes were determined and applied for functional enrichment analysis and protein-protein interaction network was predicted. The prediction value of the common differentially expressed genes on patient survival was tested.Four hundred eighty samples with complete clinical, expression data, and immune/stromal/ESTIMATE scores were enrolled for analysis. Immune/stromal/ESTIMATE score was higher in female patients than males. A total of 44 common differentially expressed genes were screened in high and low immune/stromal/ESTIMATE score subgroups. Of the 44 genes, 7 genes (ADGRG7, CSN3, CST8, KRT81, MUC7, MYH6, and SEZ6) were found to be closely related to patient survival. Enrichment analysis showed that the differentially expressed genes mainly enriched in the protein-coupled receptor signaling pathway, extracellular region, G-protein coupled receptor activity, salivary secretion, and regulation of lipolysis in adipocytes. Protein-protein interaction analysis revealed that POSTN and OGN were crucial microenvironments related genes.Tumor microenvironment related genes ADGRG7, CSN3, CST8, KRT81, MUC7, MYH6, and SEZ6 are valuable predictors for HNSCC patient survival. POSTN and OGN are crucial in modulating the microenvironment and tumor biology for HNSCC.
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Matsuoka T, Yashiro M. Precision medicine for gastrointestinal cancer: Recent progress and future perspective. World J Gastrointest Oncol 2020; 12:1-20. [PMID: 31966910 PMCID: PMC6960076 DOI: 10.4251/wjgo.v12.i1.1] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 10/12/2019] [Accepted: 11/04/2019] [Indexed: 02/05/2023] Open
Abstract
Gastrointestinal (GI) cancer has a high tumor incidence and mortality rate worldwide. Despite significant improvements in radiotherapy, chemotherapy, and targeted therapy for GI cancer over the last decade, GI cancer is characterized by high recurrence rates and a dismal prognosis. There is an urgent need for new diagnostic and therapeutic approaches. Recent technological advances and the accumulation of clinical data are moving toward the use of precision medicine in GI cancer. Here we review the application and status of precision medicine in GI cancer. Analyses of liquid biopsy specimens provide comprehensive real-time data of the tumor-associated changes in an individual GI cancer patient with malignancy. With the introduction of gene panels including next-generation sequencing, it has become possible to identify a variety of mutations and genetic biomarkers in GI cancer. Although the genomic aberration of GI cancer is apparently less actionable compared to other solid tumors, novel informative analyses derived from comprehensive gene profiling may lead to the discovery of precise molecular targeted drugs. These progressions will make it feasible to incorporate clinical, genome-based, and phenotype-based diagnostic and therapeutic approaches and apply them to individual GI cancer patients for precision medicine.
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Affiliation(s)
- Tasuku Matsuoka
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka 5458585, Japan
| | - Masakazu Yashiro
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka 5458585, Japan
- Oncology Institute of Geriatrics and Medical Science, Osaka City University Graduate School of Medicine, Osaka 5458585, Japan
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Zhou L, Dong S, Deng Y, Yang P, Zheng Y, Yao L, Zhang M, Yang S, Wu Y, Zhai Z, Li N, Kang H, Dai Z. GOLGA7 rs11337, a Polymorphism at the MicroRNA Binding Site, Is Associated with Glioma Prognosis. MOLECULAR THERAPY. NUCLEIC ACIDS 2019; 18:56-65. [PMID: 31525662 PMCID: PMC6745486 DOI: 10.1016/j.omtn.2019.08.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 06/25/2019] [Accepted: 08/09/2019] [Indexed: 02/07/2023]
Abstract
MicroRNAs bind to the 3' untranslated regions of mRNAs, affecting translation, tumorigenesis, and apoptosis. This study evaluated the role of TYMS (rs1059394, C > T, and rs2847153, G > A), RYR3 (rs1044129, G > A), KIAA0423 (rs1053667, T > C), and GOLGA7 (rs11337, G > T) polymorphisms for assessment of glioma risk and prognosis among the Chinese Han population. Five single-nucleotide polymorphisms were assessed in 605 glioma patients and 1,300 controls. We found a significant correlation between rs1059394 and glioma susceptibility in the homozygote and dominant genetic models (TT versus CC, odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.52-0.97, p = 0.03; CT+TT versus CC, OR = 0.74, 95% CI = 0.55-0.99, p = 0.04). The results of the Kaplan-Meier and log rank tests revealed that the rs11337 GG genotype correlated with better overall survival of glioma patients (p = 0.017) than the GT genotype. Multivariate Cox regression analysis results also showed that the rs11337 GT genotype correlated with worse overall survival (p = 0.017, hazard ratio [HR] = 1.25, 95% CI = 1.04-1.5) than the GG genotype. These results suggest that GOLGA7 (rs11337) polymorphism may play a role in the prognosis of glioma patients and that TYMS (rs1059394) is associated with glioma risk.
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Affiliation(s)
- Linghui Zhou
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Shanshan Dong
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Yujiao Deng
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Pengtao Yang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Yi Zheng
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Li Yao
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Ming Zhang
- Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Si Yang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Ying Wu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Zhen Zhai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Na Li
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Huafeng Kang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
| | - Zhijun Dai
- Department of Breast Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China; Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
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Ding HX, Lv Z, Yuan Y, Xu Q. MiRNA Polymorphisms and Cancer Prognosis: A Systematic Review and Meta-Analysis. Front Oncol 2018; 8:596. [PMID: 30619739 PMCID: PMC6300499 DOI: 10.3389/fonc.2018.00596] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 11/26/2018] [Indexed: 12/19/2022] Open
Abstract
Background: Accumulating studies have focused on the relationship between miRNAs polymorphisms and cancer prognosis. However, the results are conflicting and unconvincing. This systematic review and meta-analysis was conducted to explore the relationship between miRNAs polymorphisms and cancer prognosis, aiming to seek for markers with cancer prognostic function. Methods: Hazard ratio of overall survival, disease-free survival (DFS) and recurrence-free survival were calculated to evaluate the association between miRNAs polymorphisms and cancer prognosis by using Stata software 11.0. Results: We systematically reviewed the association of 17 miRNAs SNPs with cancer prognosis including 24,721 samples. It was shown that 6 miRNAs SNPs (miR-608 rs4919510, miR-492 rs2289030, miR-378 rs1076064, miR-499 rs4919510, miR-149 rs2292832, miR-196a2 rs11614913) were associated with better cancer overall survival (OS) while let-7i rs10877887 was associated with poor OS; the homozygous and heterozygote genotype of miR-423 were related to poor cancer relapse-free survival (RFS) when compared with the wild genotype; miR-146 rs2910164 was linked to favorable cancer DFS while miR-196a2 rs11614913 was associated with poor DFS. Conclusions: In summary, let-7i rs10877887, miR-608 rs4919510, miR-492 rs2289030, miR-378 rs1076064, miR-423 rs6505162, miR-499 rs4919510, miR-149 rs2292832, miR-146 rs2910164, and miR-196a2 rs11614913 might serve as potential biomarkers for cancer prognosis.
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Affiliation(s)
- Han-Xi Ding
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, China
| | - Zhi Lv
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, China
| | - Yuan Yuan
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, China
| | - Qian Xu
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, China
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Involving the microRNA Targetome in Esophageal-Cancer Development and Behavior. Cancers (Basel) 2018; 10:cancers10100381. [PMID: 30322005 PMCID: PMC6210990 DOI: 10.3390/cancers10100381] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/09/2018] [Accepted: 10/10/2018] [Indexed: 02/07/2023] Open
Abstract
Esophageal cancer (EC) is the eighth most common and sixth leading cause of cancer-related mortality in the world. Despite breakthroughs in EC diagnosis and treatment, patients with complete pathologic response after being submitted to chemoradiotherapy are still submitted to surgery, despite its high morbidity. Single-nucleotide polymorphisms (SNPs) in miRNA, miRNA-binding sites, and in its biogenesis pathway genes can alter miRNA expression patterns, thereby influencing cancer risk and prognosis. In this review, we systematized the information available regarding the impact of these miR-SNPs in EC development and prognosis. We found 34 miR-SNPs that were associated with EC risk. Despite the promising applicability of these miR-SNPs as disease biomarkers, they still lack validation in non-Asian populations. Moreover, there should be more pathway-based approaches to evaluate the cumulative effect of multiple unfavorable genotypes and, consequently, identify miR-SNPs signatures capable of predicting EC therapy response and prognosis.
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Sun Y, Duan F, Liu W, Peng Z, Dai L, Feng Y, Yang Z, Shang J, Wang K. Comprehensive Assessment of the Relationship Between MicroRNA-124 and the Prognostic Significance of Cancer. Front Oncol 2018; 8:252. [PMID: 30062087 PMCID: PMC6055006 DOI: 10.3389/fonc.2018.00252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 06/21/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Numerous studies have demonstrated the presence of microRNA-124 abnormalities involving gene expression, methylation, and single nucleotide polymorphism (SNP) in multiple and diverse cancers, but the prognostic value of these abnormalities in cancer remains inconclusive. OBJECTIVE The aim of this study is to determine the prognostic value of miR-124 in cancer. METHODS We scrutinized the electronic databases and estimate the association between miR-124 expression, methylation and single nucleotide polymorphisms (SNPs), and prognosis in cancers. The pooled hazard ratios with 95% confidence intervals (CIs) for overall survival (OS), and disease-free survival/recurrence-free survival (RFS)/progression-free survival (PFS) were calculated to estimate the effects of miR-124 expression, methylation, and SNPs on cancer prognosis. The Quality in Prognosis Studies and Newcastle-Ottawa Scale were utilized to assess the quality of included studies. RESULTS A total of 20 studies involving 3,574 participants were analyzed in evidence synthesis. Our findings showed that the low expression of miR-124 was significantly associated with poor OS (HR = 2.37, 95% CI: 1.91-2.94, P = 0.00; HR = 3.10, 95% CI: 2.04-4.70, P = 0.00) and PFS/RFS (HR = 2.21, 95% CI: 1.50-3.26, P = 0.00; HR = 2.12, 95% CI: 1.20-3.74, P = 0.00). The hyper-methylation of miR-124 was associated with poor OS (HR = 2.09, 95% CI: 1.48-2.95, P = 0.00) and PFS (HR = 3.70, 95% CI: 1.72-7.97, P = 0.00) (Table 3). The patients carrying with Allele C of miR-124 rs5315649 had a worse OS (HR = 1.50, 95% CI: 1.09-2.07, P = 0.00) and PFS (HR = 1.67, 95% CI: 1.20-2.33, P = 0.00) than the carriers with Allele G. CONCLUSION The low expression and hyper-methylation of miR-124 was strongly associated with poor prognosis, and genetic variations of miR-124 rs531564 affected prognosis in cancer patients.
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Affiliation(s)
- Yadong Sun
- Department of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Fujiao Duan
- Department of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Weigang Liu
- Medical Record Statistics Office, Affiliated Hospital of Hebei University of Engineering, Handan, China
| | - Zhen Peng
- Department of Infectious Disease, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Liping Dai
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yajing Feng
- Department of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhenxing Yang
- Department of Breast and Medical Research Office, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Jia Shang
- Department of Infectious Disease, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, China
| | - Kaijuan Wang
- College of Public Health, Zhengzhou University, Zhengzhou, China
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Lopez A, Harada K, Mizrak Kaya D, Dong X, Song S, Ajani JA. Liquid biopsies in gastrointestinal malignancies: when is the big day? Expert Rev Anticancer Ther 2017; 18:19-38. [PMID: 29202614 DOI: 10.1080/14737140.2018.1403320] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Anthony Lopez
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Gastroenterology and Hepatology and Inserm U954, Nancy University Hospital, Lorraine University, Vandoeuvre-lès-Nancy, France
| | - Kazuto Harada
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dilsa Mizrak Kaya
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaochuan Dong
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shumei Song
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaffer A. Ajani
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Faluyi OO, Eng L, Qiu X, Che J, Zhang Q, Cheng D, Ying N, Tse A, Kuang Q, Dodbiba L, Renouf DJ, Marsh S, Savas S, Mackay HJ, Knox JJ, Darling GE, Wong RKS, Xu W, Azad AK, Liu G. Validation of microRNA pathway polymorphisms in esophageal adenocarcinoma survival. Cancer Med 2017; 6:361-373. [PMID: 28074552 PMCID: PMC5313634 DOI: 10.1002/cam4.989] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 10/19/2016] [Accepted: 11/04/2016] [Indexed: 12/23/2022] Open
Abstract
Polymorphisms in miRNA and miRNA pathway genes have been previously associated with cancer risk and outcome, but have not been studied in esophageal adenocarcinoma outcomes. Here, we evaluate candidate miRNA pathway polymorphisms in esophageal adenocarcinoma prognosis and attempt to validate them in an independent cohort of esophageal adenocarcinoma patients. Among 231 esophageal adenocarcinoma patients of all stages/treatment plans, 38 candidate genetic polymorphisms (17 biogenesis, 9 miRNA targets, 5 pri-miRNA, 7 pre-miRNA) were genotyped and analyzed. Cox proportional hazard models adjusted for sociodemographic and clinicopathological covariates helped assess the association of genetic polymorphisms with overall survival (OS) and progression-free survival (PFS). Significantly associated polymorphisms were then evaluated in an independent cohort of 137 esophageal adenocarcinoma patients. Among the 231 discovery cohort patients, 86% were male, median diagnosis age was 64 years, 34% were metastatic at diagnosis, and median OS and PFS were 20 and 12 months, respectively. GEMIN3 rs197412 (aHR = 1.37, 95%CI: [1.04-1.80]; P = 0.02), hsa-mir-124-1 rs531564 (aHR = 0.60, 95% CI: [0.53-0.90]; P = 0.05), and KIAA0423 rs1053667 (aHR = 0.51, 95% CI: [0.28-0.96]; P = 0.04) were found associated with OS. Furthermore, GEMIN3 rs197412 (aHR = 1.33, 95% CI: [1.03-1.74]; P = 0.03) and KRT81 rs3660 (aHR = 1.29, 95% CI: [1.01-1.64]; P = 0.04) were found associated with PFS. Although none of these polymorphisms were significant in the second cohort, hsa-mir-124-1 rs531564 and KIAA0423 rs1053667 had trends in the same direction; when both cohorts were combined together, GEMIN3 rs197412, hsa-mir-124-1 rs531564, and KIAA0423 rs1053667 remained significantly associated with OS. We demonstrate the association of multiple miRNA pathway polymorphisms with esophageal adenocarcinoma prognosis in a discovery cohort of patients, which did not validate in a separate cohort but had consistent associations in the pooled cohort. Larger studies are required to confirm/validate the prognostic value of these polymorphisms in esophageal adenocarcinoma.
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Affiliation(s)
- Olusola O. Faluyi
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Lawson Eng
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Xin Qiu
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Jiahua Che
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Qihuang Zhang
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Dangxiao Cheng
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Nanjiao Ying
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Institute of Biomedical EngineeringHangzhou Dianzi UniversityZhejiangChina
| | - Alvina Tse
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Qin Kuang
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Lorin Dodbiba
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Daniel J. Renouf
- British Columbia Cancer AgencyDepartment of Medical OncologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Sharon Marsh
- Faculty of Pharmacy and Pharmaceutical SciencesUniversity of AlbertaEdmontonAlbertaCanada
| | - Sevtap Savas
- Discipline of GeneticsMemorial University of NewfoundlandSt. John'sNewfoundlandCanada
| | - Helen J. Mackay
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Odette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Jennifer J. Knox
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
| | - Gail E. Darling
- Division of Thoracic SurgeryDepartment of SurgeryToronto General HospitalTorontoOntarioCanada
| | - Rebecca K. S. Wong
- Department of Radiation OncologyPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Wei Xu
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of BiostatisticsPrincess Margaret Cancer CentreTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Abul Kalam Azad
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Department of Genitourinary Medical OncologyDivision of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexas
| | - Geoffrey Liu
- Division of Medical Oncology and HematologyDepartment of MedicinePrincess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Division of Applied Molecular OncologyOntario Cancer Institute‐Princess Margaret Cancer Centre and University of TorontoTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
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