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Mutation analysis of 13 driver genes of colorectalcancer-related pathways in Taiwan Residents patients

Mutation analysis of 13 driver genes of colorectal cancer-related pathways in Taiwan Residents patients
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摘要 AIM To investigate the driver gene mutations associatedwith colorectal cancer (CRC) in the Taiwan Residentspopulation.METHODS: In this study, 103 patients with CRCwere evaluated. The samples consisted of 66 menand 37 women with a median age of 59 years and anage range of 26-86 years. We used high-resolutionmelting analysis (HRM) and direct DNA sequencing tocharacterize the mutations in 13 driver genes of CRCrelatedpathways. The HRM assays were conductedusing the LightCycler? 480 Instrument provided with the software LightCycler 480 Gene Scanning SoftwareVersion 1.5. We also compared the clinicopathologicaldata of CRC patients with the driver gene mutationstatus.RESULTS: Of the 103 patients evaluated, 73.79%had mutations in one of the 13 driver genes. Wediscovered 18 novel mutations in APC , MLH1 , MSH2 ,PMS2 , SMAD4 and TP53 that have not been previouslyreported. Additionally, we found 16 de novo mutationsin APC , BMPR1A , MLH1 , MSH2 , MSH6 , MUTYH andPMS2 in cancerous tissues previously reported in thedbSNP database; however, these mutations couldnot be detected in peripheral blood cells. The APCmutation correlates with lymph node metastasis(34.69% vs 12.96%, P = 0.009) and cancer stage(34.78% vs 14.04%, P = 0.013). No association wasobserved between other driver gene mutations andclinicopathological features. Furthermore, having twoor more driver gene mutations correlates with thedegree of lymph node metastasis (42.86% vs 24.07%,P = 0.043).CONCLUSION: Our findings confirm the importanceof 13 CRC-related pathway driver genes in the developmentof CRC in Taiwan Residents patients. AIM: To investigate the driver gene mutations associated with colorectal cancer(CRC) in the Taiwan Residents population.METHODS: In this study, 103 patients with CRC were evaluated. The samples consisted of 66 men and 37 women with a median age of 59 years and an age range of 26-86 years. We used high-resolution melting analysis(HRM) and direct DNA sequencing to characterize the mutations in 13 driver genes of CRCrelated pathways. The HRM assays were conducted using the Light Cycler~ 480 Instrument provided withthe software Light Cycler~ 480 Gene Scanning Software Version 1.5. We also compared the clinicopathological data of CRC patients with the driver gene mutation status.RESULTS: Of the 103 patients evaluated, 73.79% had mutations in one of the 13 driver genes. We discovered 18 novel mutations in APC, MLH1, MSH2, PMS2, SMAD4 and TP53 that have not been previously reported. Additionally, we found 16 de novo mutations in APC, BMPR1 A, MLH1, MSH2, MSH6, MUTYH and PMS2 in cancerous tissues previously reported in the db SNP database; however, these mutations could not be detected in peripheral blood cells. The APC mutation correlates with lymph node metastasis(34.69% vs 12.96%, P = 0.009) and cancer stage(34.78% vs 14.04%, P = 0.013). No association was observed between other driver gene mutations and clinicopathological features. Furthermore, having two or more driver gene mutations correlates with the degree of lymph node metastasis(42.86% vs 24.07%, P = 0.043).CONCLUSION: Our findings confirm the importance of 13 CRC-related pathway driver genes in the development of CRC in Taiwan Residents patients.
出处 《World Journal of Gastroenterology》 SCIE CAS 2016年第7期2314-2325,共12页 世界胃肠病学杂志(英文版)
基金 research grant from the China Medical University Hospital,DMR-103-017
关键词 COLORECTAL cancer Driver gene Colorectalcancer-related pathway Mutation High-resolutionmelting analysis Colorectal cancer Driver gene Colorectal cancer-related pathway Mutation High-resolution melting analysis
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参考文献29

  • 1Siegel R, Desantis C, Jemal A. Colorectal cancer statistics, 2014.CA Cancer J Clin 2014; 64: 104-117 [PMID: 24639052 DOI:10.3322/caac.21220].
  • 2Hawk ET, Levin B. Colorectal cancer prevention. J Clin Oncol2005; 23: 378-391 [PMID: 15637400].
  • 3Chang YS, Er TK, Lu HC, Yeh KT, Chang JG. Detection of KRAScodon 12 and 13 mutations by mutant-enriched PCR assay. ClinChim Acta 2014; 436: 169-175 [PMID: 24863805 DOI: 10.1016/j.cca.2014.05.008].
  • 4Jasperson KW, Tuohy TM, Neklason DW, Burt RW. Hereditaryand familial colon cancer. Gastroenterology 2010; 138: 2044-2058[PMID: 20420945 DOI: 10.1053/j.gastro.2010.01.054].
  • 5Taylor DP, Burt RW, Williams MS, Haug PJ, Cannon-AlbrightLA. Population-based family history-specific risks for colorectalcancer: a constellation approach. Gastroenterology 2010; 138:877-885 [PMID: 19932107 DOI: 10.1053/j.gastro.2009.11.044].
  • 6Galiatsatos P, Foulkes WD. Familial adenomatous polyposis. AmJ Gastroenterol 2006; 101: 385-398 [PMID: 16454848].
  • 7Segditsas S, Tomlinson I. Colorectal cancer and genetic alterationsin the Wnt pathway. Oncogene 2006; 25: 7531-7537 [PMID:17143297].
  • 8Vilar E, Gruber SB. Microsatellite instability in colorectal cancerthestable evidence. Nat Rev Clin Oncol 2010; 7: 153-162 [PMID:20142816 DOI: 10.1038/nrclinonc.2009.237].
  • 9Merg A, Howe JR. Genetic conditions associated with intestinaljuvenile polyps. Am J Med Genet C Semin Med Genet 2004; 129C:44-55 [PMID: 15264272 DOI: 10.1002/ajmg.c.30020].
  • 10Rustgi AK. The genetics of hereditary colon cancer. Genes Dev2007; 21: 2525-2538 [PMID: 17938238].

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