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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.1
- 수록면
- 23 - 32 (10page)
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There are lots of studies attempting to identify the expression changes in oral squamous cell carcinoma. Most studies include insufficient samples to apply statistical methods for detecting significant gene sets. This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. There were different expression scales between the two datasets, even though these datasets were generated under the same platforms - Affymetrix U133A gene chips. We discretized gene expressions of the two datasets by adjusting the differences between the datasets for detecting the more reliable information. From the combination of the two datasets, we detected 51 significant genes that were upregulated in oral squamous cell carcinoma. Most of them were published in previous studies as cancer-related genes. From these selected genes, significant genetic pathways associated with expression changes were identified. By combining several datasets from the public database, sufficient samples can be obtained for detecting reliable information. Most of the selected genes were known as cancer-related genes, including oral squamous cell carcinoma. Several unknown genes can be biologically evaluated in further studies.
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참고문헌 (64)
참고문헌 신청
Sparano A / 2006 / Genome-wide profiling of oral squamous cell carcinoma by array-based comparative genomic hybridization / Laryngoscope 116:735~741
Smeets SJ / 2009 / Genetic classification of oral and oropharyngeal carcinomas identifies subgroups with a different prognosis / Cell Oncol 31:291~300
Ki DH / 2008 / Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions / Bmc Bioinformatics 9:283
Toruner GA / 2004 / Association between gene expression profile and tumor invasion in oral squamous cell carcinoma / Cancer Genet Cytogenet 154:27~35
O'Donnell RK / 2005 / Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity / Oncogene 24:1244~1251
Smeets SJ / 2009 / Genetic classification of oral and oropharyngeal carcinomas identifies subgroups with a different prognosis / Cell Oncol 31:291~300
Ki DH / 2008 / Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions / Bmc Bioinformatics 9:283
Toruner GA / 2004 / Association between gene expression profile and tumor invasion in oral squamous cell carcinoma / Cancer Genet Cytogenet 154:27~35
O'Donnell RK / 2005 / Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity / Oncogene 24:1244~1251
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