Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer
Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) pati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yibing Chen [verfasserIn] Dandan Wang [verfasserIn] Yucen Song [verfasserIn] Xiaofei Zhang [verfasserIn] Zhihui Jiao [verfasserIn] Juqin Dong [verfasserIn] Lin Lü [verfasserIn] Zhengzhi Zou [verfasserIn] Wei Du [verfasserIn] Falin Qu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Cancer Medicine - Wiley, 2012, 8(2019), 4, Seite 1919-1929 |
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| Übergeordnetes Werk: |
volume:8 ; year:2019 ; number:4 ; pages:1919-1929 |
| Links: |
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| DOI / URN: |
10.1002/cam4.2050 |
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| Katalog-ID: |
DOAJ025746804 |
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| 520 | |a Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. | ||
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10.1002/cam4.2050 doi (DE-627)DOAJ025746804 (DE-599)DOAJ48e66731659d46d8bdd0fab30ee9e142 DE-627 ger DE-627 rakwb eng RC254-282 Yibing Chen verfasserin aut Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. circadian gene gastric cancer prognosis single‐nucleotide polymorphism Neoplasms. Tumors. Oncology. Including cancer and carcinogens Dandan Wang verfasserin aut Yucen Song verfasserin aut Xiaofei Zhang verfasserin aut Zhihui Jiao verfasserin aut Juqin Dong verfasserin aut Lin Lü verfasserin aut Zhengzhi Zou verfasserin aut Wei Du verfasserin aut Falin Qu verfasserin aut In Cancer Medicine Wiley, 2012 8(2019), 4, Seite 1919-1929 (DE-627)71860153X (DE-600)2659751-2 20457634 nnns volume:8 year:2019 number:4 pages:1919-1929 https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/article/48e66731659d46d8bdd0fab30ee9e142 kostenfrei https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/toc/2045-7634 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 1919-1929 |
| spelling |
10.1002/cam4.2050 doi (DE-627)DOAJ025746804 (DE-599)DOAJ48e66731659d46d8bdd0fab30ee9e142 DE-627 ger DE-627 rakwb eng RC254-282 Yibing Chen verfasserin aut Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. circadian gene gastric cancer prognosis single‐nucleotide polymorphism Neoplasms. Tumors. Oncology. Including cancer and carcinogens Dandan Wang verfasserin aut Yucen Song verfasserin aut Xiaofei Zhang verfasserin aut Zhihui Jiao verfasserin aut Juqin Dong verfasserin aut Lin Lü verfasserin aut Zhengzhi Zou verfasserin aut Wei Du verfasserin aut Falin Qu verfasserin aut In Cancer Medicine Wiley, 2012 8(2019), 4, Seite 1919-1929 (DE-627)71860153X (DE-600)2659751-2 20457634 nnns volume:8 year:2019 number:4 pages:1919-1929 https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/article/48e66731659d46d8bdd0fab30ee9e142 kostenfrei https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/toc/2045-7634 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 1919-1929 |
| allfields_unstemmed |
10.1002/cam4.2050 doi (DE-627)DOAJ025746804 (DE-599)DOAJ48e66731659d46d8bdd0fab30ee9e142 DE-627 ger DE-627 rakwb eng RC254-282 Yibing Chen verfasserin aut Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. circadian gene gastric cancer prognosis single‐nucleotide polymorphism Neoplasms. Tumors. Oncology. Including cancer and carcinogens Dandan Wang verfasserin aut Yucen Song verfasserin aut Xiaofei Zhang verfasserin aut Zhihui Jiao verfasserin aut Juqin Dong verfasserin aut Lin Lü verfasserin aut Zhengzhi Zou verfasserin aut Wei Du verfasserin aut Falin Qu verfasserin aut In Cancer Medicine Wiley, 2012 8(2019), 4, Seite 1919-1929 (DE-627)71860153X (DE-600)2659751-2 20457634 nnns volume:8 year:2019 number:4 pages:1919-1929 https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/article/48e66731659d46d8bdd0fab30ee9e142 kostenfrei https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/toc/2045-7634 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 1919-1929 |
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10.1002/cam4.2050 doi (DE-627)DOAJ025746804 (DE-599)DOAJ48e66731659d46d8bdd0fab30ee9e142 DE-627 ger DE-627 rakwb eng RC254-282 Yibing Chen verfasserin aut Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. circadian gene gastric cancer prognosis single‐nucleotide polymorphism Neoplasms. Tumors. Oncology. Including cancer and carcinogens Dandan Wang verfasserin aut Yucen Song verfasserin aut Xiaofei Zhang verfasserin aut Zhihui Jiao verfasserin aut Juqin Dong verfasserin aut Lin Lü verfasserin aut Zhengzhi Zou verfasserin aut Wei Du verfasserin aut Falin Qu verfasserin aut In Cancer Medicine Wiley, 2012 8(2019), 4, Seite 1919-1929 (DE-627)71860153X (DE-600)2659751-2 20457634 nnns volume:8 year:2019 number:4 pages:1919-1929 https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/article/48e66731659d46d8bdd0fab30ee9e142 kostenfrei https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/toc/2045-7634 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 1919-1929 |
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10.1002/cam4.2050 doi (DE-627)DOAJ025746804 (DE-599)DOAJ48e66731659d46d8bdd0fab30ee9e142 DE-627 ger DE-627 rakwb eng RC254-282 Yibing Chen verfasserin aut Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. circadian gene gastric cancer prognosis single‐nucleotide polymorphism Neoplasms. Tumors. Oncology. Including cancer and carcinogens Dandan Wang verfasserin aut Yucen Song verfasserin aut Xiaofei Zhang verfasserin aut Zhihui Jiao verfasserin aut Juqin Dong verfasserin aut Lin Lü verfasserin aut Zhengzhi Zou verfasserin aut Wei Du verfasserin aut Falin Qu verfasserin aut In Cancer Medicine Wiley, 2012 8(2019), 4, Seite 1919-1929 (DE-627)71860153X (DE-600)2659751-2 20457634 nnns volume:8 year:2019 number:4 pages:1919-1929 https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/article/48e66731659d46d8bdd0fab30ee9e142 kostenfrei https://doi.org/10.1002/cam4.2050 kostenfrei https://doaj.org/toc/2045-7634 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2019 4 1919-1929 |
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Yibing Chen |
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Yibing Chen misc RC254-282 misc circadian gene misc gastric cancer misc prognosis misc single‐nucleotide polymorphism misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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RC254-282 Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer circadian gene gastric cancer prognosis single‐nucleotide polymorphism |
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misc RC254-282 misc circadian gene misc gastric cancer misc prognosis misc single‐nucleotide polymorphism misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
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misc RC254-282 misc circadian gene misc gastric cancer misc prognosis misc single‐nucleotide polymorphism misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
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Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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Yibing Chen |
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Yibing Chen Dandan Wang Yucen Song Xiaofei Zhang Zhihui Jiao Juqin Dong Lin Lü Zhengzhi Zou Wei Du Falin Qu |
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functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. |
| abstractGer |
Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. |
| abstract_unstemmed |
Abstract Background Circadian positive feedback loop (CPFL) genes (CLOCK, BAML1, and NPAS2) have been implicated in cancer initiation and progression. The purpose of this study was to explore the effects of single‐nucleotide polymorphisms (SNPs) in CPFL genes on prognosis of gastric cancer (GC) patients. Methods Nine functional SNPs from the three CPFL genes were genotyped in a cohort of 704 GC patients undergoing resection. Multivariate Cox regression model and Kaplan‐Meier curve were used for prognosis analysis. Results Among the nine SNPs, rs11133399 in CLOCK, rs1044432 and rs2279284 in BAML1 were significantly associated with GC overall survival and recurrence‐free survival. The unfavorable genotypes of these SNPs showed a cumulative effect on GC prognosis. Multivariate assessment model indicated that these SNPs, in conjunction with clinical variables, enhanced the power to predict GC prognosis. In addition, survival tree analysis revealed the genotype of rs11133399 as a primary risk factor contributing to the prognosis of GC patients. Functional assays showed that the G allele in rs11133399 significantly enhanced luciferase reporter activity than A allele. Immunohistochemical analysis further demonstrated that the genotype of rs11133399 was significantly associated with the expression level of CLOCK in GC tissues, suggesting that this SNP might affect the prognosis of GC through its influence on the expression of CLOCK gene. Conclusions Our data indicate that SNPs in CPFL genes might contribute to the clinical outcome of GC through their impact on gene expression. Further studies are needed to elucidate its underlying molecular mechanisms. |
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Functional polymorphisms in circadian positive feedback loop genes predict postsurgical prognosis of gastric cancer |
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