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Ni J, Wang M, Wang T, Yan C, Ren C, Li G, Ding Y, Li H, Du L, Jiang Y, Chen J, Wang Y, Xu D, Zhu M, Dai J, Ma H, Hu Z, Shen H, Wei Q, Jin G. Construction and evaluation of a polygenic hazard score for prognostic assessment in localized gastric cancer. FUNDAMENTAL RESEARCH 2024; 4:1331-1338. [PMID: 39431145 PMCID: PMC11489476 DOI: 10.1016/j.fmre.2022.09.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/04/2022] [Accepted: 09/28/2022] [Indexed: 11/11/2022] Open
Abstract
To investigate whether genetic variants may provide additional prognostic value to improve the existing clinical staging system for gastric cancer (GC), we performed two genome-wide association studies (GWASs) of GC survival in the Jiangsu (N = 1049) and Shanghai (N = 1405) cohorts. By using a TCGA dataset, we validated genetic markers identified from a meta-analysis of these two Chinese cohorts to determine GC survival-associated loci. Then, we constructed a weighted polygenic hazard score (PHS) and developed a nomogram in combination with clinical variables. We also evaluated prognostic accuracy with the time-dependent receiver operating characteristic (ROC) curve, net reclassification improvement (NRI) and integrated discrimination improvement (IDI). We identified a single nucleotide polymorphism (SNP) of rs1618332 at 15q15.1 that was associated with the survival of GC patients with a P value of 4.12 × 10-8, and we also found additional 25 SNPs having consistent associations among these two Chinese cohort and TCGA cohort. The PHS derived from these 26 SNPs (PHS-26) was an independent prognostic factor for GC survival (all P < 0.001). The 5-year AUC of PHS-26 was 0.68, 0.66 and 0.67 for Jiangsu, Shanghai and their pooled cohorts, respectively, which increased to 0.80, 0.82 and 0.81, correspondingly, after being integrated into a nomogram together with variables of the clinical model. The PHS-26 could improve the NRIs by 16.20%, 4.90% and 8.70%, respectively, and the IDIs by 11.90%, 8.00% and 9.70%, respectively. The 26-SNP based PHS could substantially improve the accuracy of prognostic assessment and might facilitate precision medicine for GC patients.
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Affiliation(s)
- Jing Ni
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Mengyun Wang
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Tianpei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215006, China
| | - Caiwang Yan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Department of Immunology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Chuanli Ren
- Department of Laboratory Medicine, Clinical Medical College of Yangzhou University, Yangzhou 225001, China
| | - Gang Li
- Department of General Surgery, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China
| | - Yanbing Ding
- Department of Gastroenterology, the Affiliated Hospital of Yangzhou University, Yangzhou 225001, China
| | - Huizhang Li
- Zhejiang Provincial Office for Cancer Prevention and Control, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Lingbin Du
- Zhejiang Provincial Office for Cancer Prevention and Control, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Jiaping Chen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Yanong Wang
- Department of Gastric Cancer and Soft Tissue Sarcomas, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Dazhi Xu
- Department of Gastric Cancer and Soft Tissue Sarcomas, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou 215006, China
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Zhejiang Provincial Office for Cancer Prevention and Control, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Qingyi Wei
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Institute for Precision Cancer Prevention and Medicine, Great Bay Area Institutes of Precision Medicine, Guangzhou 511466, China
- Department of Population Health Sciences, Duke University School of Medicine, Durham 27710, United States
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China
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Wang Y, Li J, Liu X, Zhang Y, Wang C, Guo Q, Wang Y, Jiang B, Jin X, Liu Y. Elucidation of the anti-gastric cancer mechanism of Guiqi Baizhu Formula by integrative approach of chemical bioinformatics. Int Immunopharmacol 2024; 134:112245. [PMID: 38749334 DOI: 10.1016/j.intimp.2024.112245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/30/2024] [Accepted: 05/08/2024] [Indexed: 06/03/2024]
Abstract
Gastric cancer (GC) has posed a great threat to the lives of people around the world. To date, safer and more cost-effective therapy for GC is lacking. Traditional Chinese medicine (TCM) may provide some new options for this. Guiqi Baizhu Formula (GQBZF), a classic TCM formula, has been extensively used to treat GC, while its bioactive components and therapeutic mechanisms remain unclear. In this study, we evaluated the underlying mechanisms of GQBZF in treating GC by integrative approach of chemical bioinformatics. GQBZF lyophilized powder (0.0625 mg/mL, 0.125 mg/mL) significantly attenuated the expression of p-IGF1R, PI3K, p-PDK1, p-VEGFR2 to inhibit the proliferation, migration and induce apoptosis of gastric cancer cells, which was consistent with the network pharmacology. Additionally, atractylenolide Ⅰ, quercetin, glycyrol, physcione and aloe-emodin, emodin, kaempferol, licoflavone A were found to be the key compounds of GQBZF regulating IGF1R and VEGFR2, respectively. And among which, glycyrol and emodin were determined as key active compounds against GC by farther vitro experiments and LC/MS. Meanwhile, we also found that glycyrol inhibited MKN-45 cells proliferation and enhanced apoptosis, which might be related to the inhibition of IGF1R/PI3K/PDK1, and emodin could significantly attenuate the MKN-45 cells migration, which might be related to the inhibition of VEGFR2-related signaling pathway. These results were verified again by molecular dynamics simulation and binding interaction pattern. In summary, this study suggested that GQBZF and its key active components (glycyrol and emodin) can suppress IGF1R/PI3K/PDK1 and VEGFR2-related signaling pathway, thereby inhibiting tumor cell proliferation and migration and inducing apoptosis. These findings provided an important strategy for developing new agents and facilitated clinical use of GQBZF against GC.
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Affiliation(s)
- Yanru Wang
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Jiawei Li
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Xiuzhu Liu
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Yixi Zhang
- College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Chao Wang
- College of Medical, Shanxi Datong University, Datong 037000, China
| | - Qingyang Guo
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Yan Wang
- Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Bing Jiang
- Gansu University of Chinese Medicine, Lanzhou 730000, China
| | - Xiaojie Jin
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China; College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China; Key Laboratory of Dunhuang Medical and Transformation, Ministry of Education of The People's Republic of China, Lanzhou 730000, China.
| | - Yongqi Liu
- Gansu University Key Laboratory for Molecular Medicine & Chinese Medicine Prevention and Treatment of Major Diseases, Gansu University of Chinese Medicine, Lanzhou 730000, China; Key Laboratory of Dunhuang Medical and Transformation, Ministry of Education of The People's Republic of China, Lanzhou 730000, China.
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Wu P, Zhang Y, Lyu Y, Chen J, Jiang Y, Xiang J, Liu B, Wu C. MiRNA polymorphisms affect the prognosis of gastric cancer: insights from Xianyou, Fujian. Front Oncol 2024; 14:1355270. [PMID: 38817897 PMCID: PMC11138161 DOI: 10.3389/fonc.2024.1355270] [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: 12/13/2023] [Accepted: 04/22/2024] [Indexed: 06/01/2024] Open
Abstract
Introduction Gastric cancer, characterized by high incidence and substantial disease burden, has drawn continuous attention regarding its occurrence and prognosis. Genetics plays a crucial role in influencing the prognosis of gastric cancer, and single nucleotide polymorphisms are closely associated with the occurrence, development, and prognosis of this malignant tumor. Our study aims to conduct survival analysis on patients carrying different single nucleotide polymorphisms, exploring the relationship between miRNA single nucleotide polymorphisms and the prognosis of gastric cancer. Methods Genetic data from 344 patients in Xianyou, Fujian, formed the basis of our study. We delineated the survival rate and median survival time, utilizing the log-rank test and COX regression analysis as statistical tools. Results Upon stratifying the data by sex or operation, it was discerned that the GG genotype at MSH2 rs17502941 independently posed a heightened risk for gastric cancer. Other stratification analyses suggested that the subsequent single nucleotide polymorphisms were correlated with patient prognosis: rs17502941, rs884225, rs1468063, rs7143252, and rs2271738. Discussion The outcomes of this study strongly suggest that miRNA polymorphisms significantly influence the survival time of gastric cancer patients and can serve as effective predictors for the prognosis of gastric cancer.
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Affiliation(s)
- Ping Wu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
- Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Yuling Zhang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yanping Lyu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jingwen Chen
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yu Jiang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianjun Xiang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baoying Liu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
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Haase A, Alefeld E, Yalinci F, Meenen DV, Busch MA, Dünker N. Gastric Inhibitory Polypeptide Receptor (GIPR) Overexpression Reduces the Tumorigenic Potential of Retinoblastoma Cells. Cancers (Basel) 2024; 16:1656. [PMID: 38730608 PMCID: PMC11083251 DOI: 10.3390/cancers16091656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
Retinoblastoma (RB) is the most common malignant intraocular tumor in early childhood. Gene expression profiling revealed that the gastric inhibitory polypeptide receptor (GIPR) is upregulated following trefoil factor family peptide 1 (TFF1) overexpression in RB cells. In the study presented, we found this G protein-coupled transmembrane receptor to be co-expressed with TFF1, a new diagnostic and prognostic RB biomarker for advanced subtype 2 RBs. Functional analyses in two RB cell lines revealed a significant reduction in cell viability and growth and a concomitant increase in apoptosis following stable, lentiviral GIPR overexpression, matching the effects seen after TFF1 overexpression. In chicken chorioallantoic membrane (CAM) assays, GIPR-overexpressing RB cells developed significantly smaller CAM tumors. The effect of GIPR overexpression in RB cells was reversed by the GIPR inhibitor MK0893. The administration of recombinant TFF1 did not augment GIPR overexpression effects, suggesting that GIPR does not serve as a TFF1 receptor. Investigations of potential GIPR up- and downstream mediators suggest the involvement of miR-542-5p and p53 in GIPR signaling. Our results indicate a tumor suppressor role of GIPR in RB, suggesting its pathway as a new potential target for future retinoblastoma therapy.
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Xu M, Yang A, Xia J, Jiang J, Liu CF, Ye Z, Ma J, Yang S. Protein glycosylation in urine as a biomarker of diseases. Transl Res 2023; 253:95-107. [PMID: 35952983 DOI: 10.1016/j.trsl.2022.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 02/01/2023]
Abstract
Human body fluids have become an indispensable resource for clinical research, diagnosis and prognosis. Urine is widely used to discover disease-specific glycoprotein biomarkers because of its recurrently non-invasive collection and disease-indicating properties. While urine is an unstable fluid in that its composition changes with ingested nutrients and further as it is excreted through micturition, urinary proteins are more stable and their abnormal glycosylation is associated with diseases. It is known that aberrant glycosylation can define tumor malignancy and indicate disease initiation and progression. However, a thorough and translational survey of urinary glycosylation in diseases has not been performed. In this article, we evaluate the clinical applications of urine, introduce methods for urine glycosylation analysis, and discuss urine glycoprotein biomarkers. We emphasize the importance of mining urinary glycoproteins and searching for disease-specific glycosylation in various diseases (including cancer, neurodegenerative diseases, diabetes, and viral infections). With advances in mass spectrometry-based glycomics/glycoproteomics/glycopeptidomics, characterization of disease-specific glycosylation will optimistically lead to the discovery of disease-related urinary biomarkers with better sensitivity and specificity in the near future.
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Affiliation(s)
- Mingming Xu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Arthur Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Jun Xia
- Clinical Laboratory Center, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
| | - Junhong Jiang
- Department of Pulmonary and Critical Care Medicine, Dushu Lake Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhenyu Ye
- Department of General Surgery, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Junfeng Ma
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Georgetown University, Washington, District of Columbia.
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China.
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Shekarriz R, Kochaki N, Eslami-Jouibari M, Omrani-Nava V, Ahmadi M, Alizadeh-Navaei R. TFF1 gene single nucleotide polymorphism (rs3761376) and colorectal cancer risk. Mol Biol Rep 2022; 49:10127-10131. [PMID: 36057754 DOI: 10.1007/s11033-022-07828-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Trefoil Factor 1 (TFF1) is a secretory peptide with gastrointestinal protective functions. Abnormal TFF1 expression is reported in some cancers and functional promoter polymorphism in TFF1 is believed to be associated with risk of gastric cancer. We evaluated rs3761376 in a sample of Iranian patients with colorectal cancer. METHODS Peripheral blood samples were taken from pathology confirmed cases of colorectal cancer and healthy volunteers. Genotyping was carried out using Restriction Fragment Length Polymorphism (RFLP) PCR. Any association with clinicopathologic data was assessed by SPSS version 19. RESULTS A total of 245 participants, including 122 patients with cancer and 123 non-cancer subjects were enrolled. Age, body mass index, and smoking habits were not significantly different between the two groups (P > 0.05). Distribution of TFF1 genotypes was not found to be associated with colorectal cancer. However, distant metastasis was more prevalent in carriers of the mutant allele. CONCLUSION TFF1 rs3761376 was not associated with colorectal cancer but it may be involved in metastasis. Therefore, further investigation is warranted to determine this relationship.
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Affiliation(s)
- Ramin Shekarriz
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Nafiseh Kochaki
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mohammad Eslami-Jouibari
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Versa Omrani-Nava
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mohadeseh Ahmadi
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Reza Alizadeh-Navaei
- Gastrointestinal cancer research center, Non-communicable diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.
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Wang Q, Jiang Y, Du M, Yang L, Yuan Q. Association of functional genetic variants in TFF1 and nephrolithiasis risk in a Chinese population. BMC Urol 2022; 22:127. [PMID: 35987613 PMCID: PMC9392923 DOI: 10.1186/s12894-022-01081-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 07/25/2022] [Indexed: 11/25/2022] Open
Abstract
Trefoil Factor 1 (TFF1) is considered to be able to inhibit the formation of kidney stone. However, genetic variants in TFF1 and corresponding function in kidney stone development are still not well studied. In this study, the discovery set including 230 cases and 250 controls was used to analyze the association between seven tagSNPs of TFF1 gene and the nephrolithiasis risk. Further evaluation was confirmed by the validation set comprising 307 cases and 461 controls. The consequences of the two-stage case–control study indicated that individuals with the rs3761376 A allele have significantly increased nephrolithiasis risk than those with the GG genotypes [adjusted odds ratio (OR) = 1.35, 95% confidence interval (CI) = 1.05–1.73]. Moreover, we also carried out a stratified analysis and found the increased nephrolithiasis risks at A allele among males, overweight individuals, no hypertensive individuals, nondiabetic individuals, smokers, and drinkers. In the following functional experiments, the notably lower expression of TFF1 was exhibited by the vectors carrying A allele compared with those carrying G allele in both luciferase (P = 0.022) and expression vectors (P = 0.041). In addition to tissue detection, we confirmed a significant inverse association of rs3761376 G > A and TFF1 gene expression (P < 0.001). These results suggest that TFF1 rs3761376 may serve as a potential biomarker to predict the risk of nephrolithiasis.
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Ni P, Wang G, Wang Y, Liu K, Chen W, Xiao J, Fan H, Ma X, Li Z, Shen K, Xu Z, Yang L. Correlation of MIF-AS1 polymorphisms with the risk and prognosis of gastric cancer. Pathol Res Pract 2022; 233:153850. [DOI: 10.1016/j.prp.2022.153850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/05/2022] [Accepted: 03/17/2022] [Indexed: 12/24/2022]
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Fang L, Lv J, Xuan Z, Li B, Li Z, He Z, Li F, Xu J, Wang S, Xia Y, Jiang T, Zhang L, Wang L, Zhang D, Xu H, Yang L, Xu Z, Wang W. Circular CPM promotes chemoresistance of gastric cancer via activating PRKAA2-mediated autophagy. Clin Transl Med 2022; 12:e708. [PMID: 35075806 PMCID: PMC8787023 DOI: 10.1002/ctm2.708] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 12/23/2021] [Accepted: 01/04/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Chemotherapy can significantly improve the disease-free survival and overall survival of patients with advanced gastric cancer (GC). 5-fluorouracil (5-FU) is frequently applied in the clinic, acting as a first-line chemotherapy drug of advanced GC, which could be used alone or combining platinum drugs. However, its efficacy is significantly attenuated by chemoresistance, which is associated with patients' poor survival. Recently, there is evidence suggesting that dysregulation of autophagy may contribute to drug resistance in cancer, and circular RNAs (circRNAs) also take part in chemoresistance. However, whether circRNAs participate in 5-FU chemoresistance through autophagy remains largely unknown. METHODS RNA sequencing technologies and bioinformatics analysis were performed in GC. Sanger sequencing, Actinomycin D assay and RNase R assay confirmed the circular structure of circular CPM (circCPM). Various cell line models and animal models were used to explore related functions in vitro and in vivo. Quantitative Real-time PCR (qRT-PCR), fluorescence in situ hybridization, ribonucleic acid; (RNA) pulldown assays, RNA binding protein immunoprecipitation assays and Luciferase reporter assays were applied to explore involved pathways. RESULTS circCPM was up-regulated in 5-FU resistant GC cell lines and tissue. Moreover, high circCPM expression is positively associated with poor survival. Silencing circCPM greatly improved chemosensitivity in vitro and in vivo. Mechanistically, it directly binds to miR-21-3p in the cytoplasm and therefore increases the expression of PRKAA2, contributing to the activation of autophagy and chemoresistance. CONCLUSION Our results reveal that circCPM has a crucial role in regulating GC autophagy and 5-FU resistance by targeting PRKAA2. It may function as a new theory basis for assessing the curative effect of GC and reversing 5-FU chemoresistance.
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Affiliation(s)
- Lang Fang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jialun Lv
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zhe Xuan
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Bowen Li
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zheng Li
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zhongyuan He
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Fengyuan Li
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jianghao Xu
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Sen Wang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Yiwen Xia
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Tianlu Jiang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Lu Zhang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Linjun Wang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Diancai Zhang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Hao Xu
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Li Yang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Zekuan Xu
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
- Jiangsu Key Lab of Cancer BiomarkersPrevention and TreatmentCollaborative Innovation Center for Cancer Personalized MedicineNanjing Medical UniversityNanjingChina
| | - Weizhi Wang
- Division of Gastric Surgery, Department of General SurgeryThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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Luo L, Li Q, Su Z, Li L, Cai B, Peng Y, Bai Y, Liu F. Genetic Polymorphisms in CD35 Gene Contribute to the Susceptibility and Prognosis of Hepatocellular Carcinoma. Front Oncol 2021; 11:700711. [PMID: 34422654 PMCID: PMC8374953 DOI: 10.3389/fonc.2021.700711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 07/19/2021] [Indexed: 02/05/2023] Open
Abstract
CD35, an important molecule implicated in inflammation and immunity, is reportedly associated with several cancers. However, very few studies have investigated the relationship between CD35 polymorphisms and hepatocellular carcinoma (HCC). The current study was conducted to investigate the association between tag SNPs in CD35 and HCC susceptibility and postoperative recurrence, in an attempt to elucidate the gene-environment interactions in HCC. A total of 1233 Chinese Han people, including 647 healthy controls and 586 HCC cases, were sampled in this study. Six Tag SNPs (rs10494885, rs2296160, rs3737002, rs3849266, rs669117, and rs7525160) of CD35 were selected using the HaploView 4.2 program and genotyped by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Overall, the mutation genotypes CC/CG of CD35 rs7525160 significantly increased the risk of HCC. Stratification analysis indicated that CD35 rs7525160 CC/CG genotypes increased HCC risk in patients younger than 65 years and were closely related to the pathological type of poor prognosis of HCC. Cox proportional hazard ratio model analysis revealed that the rs7525160 CC/CG genotype remains a significant independent risk factor for postoperative recurrence of HCC. In conclusion, CD35 rs7525160 polymorphism may contribute to the susceptibility and prognosis of HCC in the Chinese Han population.
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Affiliation(s)
- Limei Luo
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Qin Li
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhenzhen Su
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Lixin Li
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Bei Cai
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Yufu Peng
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yangjuan Bai
- Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Fei Liu
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, China
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11
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Dill CD, Dammer EB, Griffen TL, Seyfried NT, Lillard JW. A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer. iScience 2021; 24:102451. [PMID: 34007962 PMCID: PMC8111681 DOI: 10.1016/j.isci.2021.102451] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/08/2021] [Accepted: 04/15/2021] [Indexed: 12/14/2022] Open
Abstract
We aimed to identify triple-negative breast cancer (TNBC) drivers that regulate survival time as predictive signatures that improve TNBC prognostication. Breast cancer (BrCa) transcriptomic tumor biopsies were analyzed, identifying network communities enriched with TNBC-specific differentially expressed genes (DEGs) and correlated strongly to TNBC status. Two anticorrelated modules correlated strongly to TNBC subtype and survival. Querying module-specific hubs and DEGs revealed transcriptional changes associated with high survival. Transcripts were nominated as biomarkers and tested as combinatoric ratios using receiver operator characteristic (ROC) analysis to assess survival prediction. ROC test rounds integrated genes with established interactions to hubs and DEGs of key modules, improving prediction. Finally, we tested whether integration of literature-derived genes for implicated hallmark cancer processes could improve prediction of survival. Complementary coexpression, differential expression, genetic interaction, and survival stratification integrated by ROC optimization uncovered a panel of "linchpin survival genes" predictive of patient survival, representing gene interactions in hallmark cancer processes.
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Affiliation(s)
- Courtney D. Dill
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, 720 Westview Dr SW, HG 341B, Atlanta, GA 30310, USA
| | - Eric B. Dammer
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Ti'ara L. Griffen
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, 720 Westview Dr SW, HG 341B, Atlanta, GA 30310, USA
| | - Nicholas T. Seyfried
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - James W. Lillard
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, 720 Westview Dr SW, HG 341B, Atlanta, GA 30310, USA
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12
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Abramov S, Boytsov A, Bykova D, Penzar DD, Yevshin I, Kolmykov SK, Fridman MV, Favorov AV, Vorontsov IE, Baulin E, Kolpakov F, Makeev VJ, Kulakovskiy IV. Landscape of allele-specific transcription factor binding in the human genome. Nat Commun 2021; 12:2751. [PMID: 33980847 PMCID: PMC8115691 DOI: 10.1038/s41467-021-23007-0] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 04/12/2021] [Indexed: 12/28/2022] Open
Abstract
Sequence variants in gene regulatory regions alter gene expression and contribute to phenotypes of individual cells and the whole organism, including disease susceptibility and progression. Single-nucleotide variants in enhancers or promoters may affect gene transcription by altering transcription factor binding sites. Differential transcription factor binding in heterozygous genomic loci provides a natural source of information on such regulatory variants. We present a novel approach to call the allele-specific transcription factor binding events at single-nucleotide variants in ChIP-Seq data, taking into account the joint contribution of aneuploidy and local copy number variation, that is estimated directly from variant calls. We have conducted a meta-analysis of more than 7 thousand ChIP-Seq experiments and assembled the database of allele-specific binding events listing more than half a million entries at nearly 270 thousand single-nucleotide polymorphisms for several hundred human transcription factors and cell types. These polymorphisms are enriched for associations with phenotypes of medical relevance and often overlap eQTLs, making candidates for causality by linking variants with molecular mechanisms. Specifically, there is a special class of switching sites, where different transcription factors preferably bind alternative alleles, thus revealing allele-specific rewiring of molecular circuitry.
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Affiliation(s)
- Sergey Abramov
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Alexandr Boytsov
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Daria Bykova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
| | - Dmitry D Penzar
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
| | - Ivan Yevshin
- Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia
- Sirius University of Science and Technology, Sochi, Russia
- BIOSOFT.RU LLC, Novosibirsk, Russia
| | - Semyon K Kolmykov
- Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia
- Sirius University of Science and Technology, Sochi, Russia
- BIOSOFT.RU LLC, Novosibirsk, Russia
| | - Marina V Fridman
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Alexander V Favorov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ilya E Vorontsov
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Eugene Baulin
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Institute of Mathematical Problems of Biology RAS-The Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Russia
| | - Fedor Kolpakov
- Federal Research Center for Information and Computational Technologies, Novosibirsk, Russia
- Sirius University of Science and Technology, Sochi, Russia
- BIOSOFT.RU LLC, Novosibirsk, Russia
| | - Vsevolod J Makeev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
- State Research Institute of Genetics and Selection of Industrial Microorganisms of the National Research Center Kurchatov Institute, Moscow, Russia.
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
| | - Ivan V Kulakovskiy
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
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13
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Xiao J, Zhu C, Ni P, Chen W, Li Z, Fan H, Ma X, Xu Z, Yang L. Correlations of SNHG5 genetic polymorphisms with susceptibility and prognosis to gastric cancer in a Chinese population. Genomics 2021; 113:1754-1760. [PMID: 33865958 DOI: 10.1016/j.ygeno.2021.04.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 03/16/2021] [Accepted: 04/12/2021] [Indexed: 12/29/2022]
Abstract
The most studied genetic polymorphisms associated with gastric cancer (GC) risk are located in protein-coding genes. However, these sited in long noncoding RNA (lncRNA) are not adequately explored yet. Here, we designed a case-control study of 848 cases and 880 controls to investigate the associations of polymorphisms (rs61396151, rs1059307, rs11961028, rs9351065) in lncRNA SNHG5 with the risk and prognosis of GC. The results indicate rs61396151 associated with decreased risk of GC (OR = 0.78, 95% CI = 0.62-0.96), but there were no correlations observed with the clinicopathological features of GC (P > 0.05). However, the CA genotype of rs61396151 was correlated with poor overall survival rate in a multivariate cox regression model (HR = 1.91, P = 0.040), but it was reversed with adjustment for age, gender and TNM stage (HR = 1.35, P = 0.213). Collectively, our results highlight the importance of SNHG5-related polymorphisms to GC susceptibility and prognosis.
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Affiliation(s)
- Jian Xiao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Chuming Zhu
- Department of General Surgery, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Liyang, Jiangsu Province, China
| | - Peidong Ni
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Wangwang Chen
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Zengliang Li
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Hao Fan
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiang Ma
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Zekuan Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Li Yang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China; Department of General Surgery, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital, Liyang, Jiangsu Province, China.
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14
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Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics. BIOMED RESEARCH INTERNATIONAL 2020; 2020:8859826. [PMID: 33381592 PMCID: PMC7748906 DOI: 10.1155/2020/8859826] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/18/2020] [Accepted: 11/24/2020] [Indexed: 12/29/2022]
Abstract
Background Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide. There are great geographical differences in the incidence of GC, and somatic mutation rates of driver genes are also different. The present study is aimed at screening core prognosis-related candidate genes in Chinese gastric cancer population based on integrated bioinformatics for the early diagnosis and prognosis of GC. Methods In the present study, the differentially expressed genes (DEGs) in GC were identified using four microarray datasets from the Gene Expression Omnibus (GEO) database. The samples of these datasets were all from China. Functional enrichment analysis of DEGs was conducted to evaluate the underlying molecular mechanisms involved in GC. Protein-protein interaction (PPI) network and cytoHubba were performed to determine hub genes associated with GC. Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) were performed to validate the hub genes. Results A total of 240 DEGs were obtained through the RRA method, including 80 upregulated genes and 160 downregulated genes. Upregulated genes were mainly enriched in extracellular matrix organization, extracellular matrix, and extracellular matrix structural constituent. The downregulated genes were mainly enriched in digestion, extracellular space, and oxidoreductase activity. The KEGG pathway enrichment analysis showed that the upregulated genes were mainly associated with ECM-receptor interaction, focal adhesion, and PI3K-Akt signaling pathway. And downregulated genes were mainly associated with the metabolism of xenobiotics by cytochrome P450, metabolic pathways, and gastric acid secretion. The transcriptional and translational expression levels of the genes including COL1A1, COL5A2, COL12A1, and VCAN were higher in GC tissues than normal tissues. Conclusion A total of four genes including COL1A1, COL5A2, COL12A1, and VCAN were considered potential GC biomarkers in the Chinese population. And ECM-receptor interaction, focal adhesion, and PI3K-Akt signaling pathway were revealed to be important mechanisms of GC. Our findings provide novel insights into the occurrence and progression of GC in the Chinese population.
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15
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Qu X, Cheng L, Zhao L, Qiu L, Guo W. Functional variation of SLC52A3 rs13042395 predicts survival of Chinese gastric cancer patients. J Cell Mol Med 2020; 24:12550-12559. [PMID: 32888389 PMCID: PMC7686988 DOI: 10.1111/jcmm.15798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 07/23/2020] [Accepted: 08/09/2020] [Indexed: 12/24/2022] Open
Abstract
The solute carrier family 52 member 3 (SLC52A3) gene encodes riboflavin transporter protein which is essential to maintain mitochondrial function in cells. In our research, we found that SLC52A3 rs13042395 C > T variation was significantly associated with poor survival in a 926 Chinese gastric cancer (GCa) patients cohort (CC/CT genotype versus TT genotype, HR = 0.57, 95%CI (0.40-0.82), log-rank P = 0.015). The SLC52A3 rs13042395 C > T change led to its increased mRNA expression according to expression quantitative trait loci analysis (P = 0.0029). In vitro, it was revealed that rs13042395 C allele had higher binding affinity to inhibitory transcription factor Meis homeobox 1 (MEIS1) compared with T allele, knock-down of MEIS1 could up-regulate SLC52A3, and overexpression of SLC52A3 contributed to the increased ability of proliferation, colony formation, migration and invasion in GCa cells. Subsequently, the bioinformatics analysis combined with experiments in vitro suggested that Gap junction protein alpha 1 (GJA1) was the downstream effector of SLC52A3, SLC52A3 may promote the GCa cells aggressiveness by down-regulating the GJA1 expression. Overall, SLC52A3 genetic variant rs13042395 C > T change was associated with poorer survival in Chinese GCa patients and increased SLC52A3 expression by interaction with MEIS1. SLC52A3 promoted the GCa cells aggressiveness by down-regulating the GJA1 expression.
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Affiliation(s)
- Xiaofei Qu
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Cancer InstituteCollaborative Innovation Center for Cancer MedicineFudan University Shanghai Cancer CenterFudan UniversityShanghaiChina
| | - Lei Cheng
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Department of Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
| | - Liqin Zhao
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Department of Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
| | - Lixin Qiu
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Department of Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
| | - Weijian Guo
- Department of OncologyShanghai Medical CollegeFudan UniversityShanghaiChina
- Department of Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
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16
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Liu W, Li J, Zhang D, Chen B, Wang X, Zhang X, Xue L. Trefoil factor 1 and gastrokine 2 inhibit Helicobacter pylori-induced proliferation and inflammation in gastric cardia and distal carcinogenesis. Oncol Lett 2020; 20:318. [PMID: 33133254 DOI: 10.3892/ol.2020.12181] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/13/2020] [Indexed: 01/04/2023] Open
Abstract
Helicobacter pylori (H. pylori) infection has been associated with non-cardia adenocarcinoma in the stomach, while its role in gastric cardia adenocarcinoma (GCA) remains controversial. In addition, the association between H. pylori and the protective factors trefoil factor 1 (TFF1) and gastrokine 2 (GKN2) in gastroesophageal adenocarcinomas has not been fully investigated. Therefore, the mRNA and protein expression levels of TFF1 and GKN2 in GCA and distal gastric adenocarcinoma (DGA) were analyzed using quantitative PCR (qPCR) and immunohistochemistry, and the association with H. pylori infection was investigated. In addition, the effects of TFF1 and GKN2 overexpression on H. pylori-induced cells were investigated using western blot and reverse transcription-qPCR analysis. The comparative analysis of 16S rRNA-positive mRNA expression between GCA and DGA showed no statistically significant difference. However, the rate of the H. pylori vacuolating toxin A (VacA) genotype was significantly higher in GCA (49.2%) compared with that in DGA (26.9%; P<0.05). H. pylori infection downregulated the mRNA and protein expression levels of TFF1 and GKN2 in gastric tumor tissues, and the mRNA expression level of TFF1 and GKN2 was also markedly decreased in vitro. Furthermore, the cell proliferation varied in H. pylori total protein treatment group with the different doses. Notably, treatment with 20 µg/ml H. pylori total protein for 24 h resulted in the highest cellular proliferation rate. In addition, TFF1 and GKN2 overexpression inversely inhibited H. pylori-induced cell proliferation and upregulated NF-κB, tumor necrosis factor-α, IL-1β, IL-2, IL-4 and IL-6. The results of the present study indicate that H. pylori, particularly the VacA+ strain, plays an important role in GCA pathogenesis in high-risk areas of China, while TFF1/GKN2 inhibits H. pylori-induced cell proliferation and inflammation in GCA and DGA.
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Affiliation(s)
- Wenjing Liu
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Jie Li
- Department of Hematology, Hebei General Hospital, Shijiazhuang, Hebei 050000, P.R. China
| | - Di Zhang
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Bao Chen
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Xiaozi Wang
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Xianghong Zhang
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
| | - Liying Xue
- Laboratory of Pathology, Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China
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Liu F, Luo L, Liu Z, Wu S, Zhang W, Li Q, Peng Y, Wei Y, Li B. A genetic variant in the promoter of CD46 is associated with the risk and prognosis of hepatocellular carcinoma. Mol Carcinog 2020; 59:1243-1255. [PMID: 32869896 DOI: 10.1002/mc.23252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/26/2020] [Accepted: 08/12/2020] [Indexed: 02/05/2023]
Abstract
CD46 (also known as membrane cofactor protein), which is a member of the membrane-bound complement regulatory protein family, has been reported to cause cancer cells to escape complement-dependent cytotoxicity. However, the association between CD46 polymorphisms and the risk of hepatocellular carcinoma (HCC) has not been investigated. This two-stage association study was conducted to assess the relationship between the tagging single nucleotide polymorphisms (tagSNPs) of CD46 and HCC risk and prognosis. A series of functional analyses were performed to study the underlying mechanisms. Among the eight tagSNPs, rs2796267 (P = .003) and rs2796268 (P = .011) were found to modify HCC risk in the discovery set. Only rs2796267 (P < .0001) was confirmed to be associated with HCC susceptibility in the validation set. Compared with the wild-type AA genotype, the GG genotype significantly increased the HCC risk (adjusted odds ratio [OR] = 2.03; 95% confidence interval [CI], 1.34-3.08; P = .001). Moreover, subgroups analysis suggested a positive correlation among male and younger patients, especially among drinkers, smokers, and hepatitis B surface antigen-positive individuals. In functional analyses, we found that the rs2796267 G allele in the promoter region of CD46 could increase the expression of CD46 by affecting the binding affinity of STAT5a. Furthermore, Cox regression analysis revealed that the rs2796267 AG/GG genotype was significantly associated with worse prognosis of resected patients with HCC (hazard ratio = 2.27; 95% CI, 1.27-4.05; P = .006). These results suggest that the CD46 rs2796267 polymorphism may contribute to susceptibility and prognosis of HCC by altering promoter activity.
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Affiliation(s)
- Fei Liu
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Limei Luo
- Department of Clinical Immunological Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhongjian Liu
- Department of Gastroenterology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Sisi Wu
- Division of Core Facilities, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Zhang
- Department of Critical Care Medicine, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Qin Li
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yufu Peng
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yonggang Wei
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bo Li
- Department of Liver Surgery, Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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18
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Miao Y, Li Q, Sun G, Wang L, Zhang D, Xu H, Xu Z. MiR-5683 suppresses glycolysis and proliferation through targeting pyruvate dehydrogenase kinase 4 in gastric cancer. Cancer Med 2020; 9:7231-7243. [PMID: 32780563 PMCID: PMC7541129 DOI: 10.1002/cam4.3344] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 07/05/2020] [Accepted: 07/11/2020] [Indexed: 12/14/2022] Open
Abstract
Gastric cancer (GC) is one of the most deadly malignancies at global scale, and is particularly common in eastern Asia. MicroRNA‐5683 (miR‐5683) was confirmed to be downregulated in GC by analyzing data from the Cancer Genome Atlas. We packaged miR‐5683‐mimics and miR‐5683‐inhibitors into lentivirus vectors and transfected them into GC cells. MiR‐5683 expression and possible target genes were detected by employing quantitative real‐time polymerase chain reaction. In vitro, cell proliferation and apoptosis were analyzed using CCK‐8, colony formation assay, and flow cytometric assay. We verified the direct interaction between miR‐5683 and the possible downstream target gene pyruvate dehydrogenase kinase 4 (PDK4) through luciferase reporter assay. The role of miR‐5683 in vivo was explored by injecting stably transfected GC cells subcutaneously into nude mice. Here we show that miR‐5683 was downregulated in GC and the decreased level of miR‐5683 enhances GC cell proliferation and impairs apoptosis. Tumor oncogene PDK4, which is associated with GC overall survival and disease‐free survival, has been identified as the target gene of miR‐5683. Besides, we demonstrate that the inhibition of miR‐5683 promotes glycolysis by upregulating the PDK4 expression, thus leading to GC progression. Our study determines that miR‐5683 represses GC glycolysis and progression through targeting PDK4. MiR‐5683 overexpression may thus become a new treatment strategy for GC.
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Affiliation(s)
- Yongchang Miao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of General Surgery, The Second People's Hospital of Lianyungang, Lianyungang, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qing Li
- School of Medicine, Southeast University, Nanjing, China
| | - Guangli Sun
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lu Wang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Diancai Zhang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zekuan Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
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19
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Nie S, Yang G, Lu H. Current Molecular Targeted Agents for Advanced Gastric Cancer. Onco Targets Ther 2020; 13:4075-4088. [PMID: 32494161 PMCID: PMC7229784 DOI: 10.2147/ott.s246412] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 04/20/2020] [Indexed: 12/26/2022] Open
Abstract
Gastric cancer is the third leading cause of malignant tumor-related mortality worldwide. Traditional cytotoxic agents prolong the overall survival and progression-free survival of patients with advanced gastric cancer (AGC) compared to that with best supportive care. Due to the occurrence of serious adverse drug reactions that result in discontinued treatment, the survival benefit in AGC remains unsatisfactory. Systemic chemotherapy regimens have changed greatly, especially since the introduction of trastuzumab. Nevertheless, HER2 positivity is present in only approximately 20% of tumors. Due to the genetic heterogeneity and complexity of patients, there are many studies in progress that are exploring novel targeted drugs as an alternative to chemotherapy or adjuvant treatment in early-stage, progressive, and advanced gastric cancer. On the basis of the differences in gene expression profiles among patients, searching for specific and sensitive predictive biomarkers is important for identifying patients who will benefit from a specific targeted drug. With the development of targeted therapies and available chemotherapeutic drugs, there is no doubt that, over time, more patients will achieve better survival outcomes. Recently, immune checkpoint blockade has been well developed as a promising anticancer strategy. This review outlines the currently available information on clinically tested molecular targeted drugs and immune checkpoint inhibitors for AGC to provide support for decision-making in clinical practice.
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Affiliation(s)
- Shanshan Nie
- Center for Clinical Pharmacology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China
| | - Guoping Yang
- Center for Clinical Pharmacology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China
| | - Hongwei Lu
- Department of Cardiology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China
- Center for Experimental Medical Research, The Third Xiangya Hospital of Central South University, Changsha, Hunan, People’s Republic of China
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Chen W, Xiao J, Shi L, Lin L, Jiang M, Ge Y, Li Z, Fan H, Yang L, Xu Z. Association of TP73-AS1 gene polymorphisms with the risk and survival of gastric cancer in a Chinese Han Population. ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY 2020; 47:3814-3822. [PMID: 31549851 DOI: 10.1080/21691401.2019.1669621] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
It was investigated that TP73-AS1(TP73 antisense RNA 1) could function as an oncogene in gastric cancer (GC). The expression and function of long noncoding RNAs (lncRNAs) could be impacted by single nucleotide polymorphisms (SNPs), which are related to cancer susceptibility and prognosis. This study was to reveal the association between lncRNAs TP73-AS1 polymorphisms (rs1181865 A > G, rs9800 G > C, rs3737589 A > G, rs2298222 G > A, rs7515164 C > A) and GC in 1000 GC cases and 1000 controls in a Chinese Han population. Rs3737589 G allele had significant associations with the increasing risk of GC (G vs. A: p = .005). Rs3737589 variant genotypes (AG + GG) were related to an increased risk of GC in the elder population (age ≥60), females, nonsmokers, nondrinkers, individuals living in urban, and individuals without family history of GC in stratified analyses. Rs3737589 variant genotypes (AG + GG) were related to the advanced depth of tumor invasion (T3 + T4). Besides, we found that GC patients with AG or GG genotype of rs3737589 had poorer overall survival (OS) than those with AA genotype (p < .05). Our findings showed that the lncRNA TP73-AS1 rs3737589 polymorphism might increase the risk of GC, and rs3737589 polymorphism could be a potential biomarker to predict the prognosis of GC patients.
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Affiliation(s)
- Wangwang Chen
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Jian Xiao
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Liang Shi
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Linling Lin
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Mingkun Jiang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Yugang Ge
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Zengliang Li
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Hao Fan
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
| | - Li Yang
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China.,Department of General Surgery, Liyang People's Hospital, Liyang Branch Hospital of Jiangsu Province Hospital , Liyang , Jiangsu Province , China
| | - Zekuan Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University , Nanjing , Jiangsu Province , China
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21
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Qin G, Yang L, Ma Y, Liu J, Huo Q. The exploration of disease-specific gene regulatory networks in esophageal carcinoma and stomach adenocarcinoma. BMC Bioinformatics 2019; 20:717. [PMID: 31888440 PMCID: PMC6936086 DOI: 10.1186/s12859-019-3230-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Feed-forward loops (FFLs), consisting of miRNAs, transcription factors (TFs) and their common target genes, have been validated to be important for the initialization and development of complex diseases, including cancer. Esophageal Carcinoma (ESCA) and Stomach Adenocarcinoma (STAD) are two types of malignant tumors in the digestive tract. Understanding common and distinct molecular mechanisms of ESCA and STAD is extremely crucial. RESULTS In this paper, we presented a computational framework to explore common and distinct FFLs, and molecular biomarkers for ESCA and STAD. We identified FFLs by combining regulation pairs and RNA-seq data. Then we constructed disease-specific co-expression networks based on the FFLs identified. We also used random walk with restart (RWR) on disease-specific co-expression networks to prioritize candidate molecules. We identified 148 and 242 FFLs for these two types of cancer, respectively. And we found that one TF, E2F3 was related to ESCA, two genes, DTNA and KCNMA1 were related to STAD, while one TF ESR1 and one gene KIT were associated with both of the two types of cancer. CONCLUSIONS This proposed computational framework predicted disease-related biomolecules effectively and discovered the correlation between two types of cancers, which helped develop the diagnostic and therapeutic strategies of Esophageal Carcinoma and Stomach Adenocarcinoma.
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Affiliation(s)
- Guimin Qin
- School of Computer Science and Technology, Xidian University, Xi'an, 710071, China
| | - Luqiong Yang
- School of Computer Science and Technology, Xidian University, Xi'an, 710071, China
| | - Yuying Ma
- School of Computer Science and Technology, Xidian University, Xi'an, 710071, China
| | - Jiayan Liu
- School of Computer Science and Technology, Xidian University, Xi'an, 710071, China
| | - Qiuyan Huo
- School of Computer Science and Technology, Xidian University, Xi'an, 710071, China.
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Fabisiak A, Bartoszek A, Kardas G, Fabisiak N, Fichna J. Possible application of trefoil factor family peptides in gastroesophageal reflux and Barrett's esophagus. Peptides 2019; 115:27-31. [PMID: 30831146 DOI: 10.1016/j.peptides.2019.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 02/16/2019] [Accepted: 02/24/2019] [Indexed: 12/14/2022]
Abstract
Gastroesophageal reflux disease (GERD) is a chronic disorder of the digestive tract characterised mainly by a heartburn. Being one of the most common gastrointestinal diseases, the prevalence of GERD reaches up to 25.9% in Europe. Barrett's esophagus (BE) is an acquired condition characterized by the replacement of the normal stratified squamous epithelium with metaplastic columnar epithelium. BE is believed to develop mainly from chronic GERD and is the most important risk factor of esophageal adenocarcinoma. Despite the availability of drugs such as proton pomp inhibitors and antacids, GERD is still a burden to local economy and impairs health-related quality of life in patients. Also, the endoscopic surveillance in patients with BE is burdensome and expensive what drives the need for biomarker of intestinal metaplasia and dysplasia. Trefoil factor family (TFF), consisting of TFF1, TFF2 and TFF3 peptides is gaining more and more attention due to its unique biochemical features and numerous functions. In this review the role of TFF1, TFF2 and TFF3 as potential treatment option and/or biomarker in the upper GI tract is discussed with particular focus on GERD and BE.
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Affiliation(s)
- Adam Fabisiak
- Department of Biochemistry, Faculty of Medicine, Medical University of Lodz, Lodz, Poland; Department of Digestive Tract Diseases, Faculty of Medicine, Medical University of Lodz, Poland
| | - Adrian Bartoszek
- Department of Biochemistry, Faculty of Medicine, Medical University of Lodz, Lodz, Poland
| | - Grzegorz Kardas
- Department of Biochemistry, Faculty of Medicine, Medical University of Lodz, Lodz, Poland
| | - Natalia Fabisiak
- Department of Biochemistry, Faculty of Medicine, Medical University of Lodz, Lodz, Poland; Department of Gastroenterology, Faculty of Military Medicine, Medical University of Lodz, Poland
| | - Jakub Fichna
- Department of Biochemistry, Faculty of Medicine, Medical University of Lodz, Lodz, Poland.
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