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Case Report
- Double primary lung adenocarcinoma diagnosed by epidermal growth factor receptor mutation status
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Oh Jung Kwon, Min Hyeok Lee, Sung Ju Kang, Seul Gi Kim, In Beom Jeong, Ji Yun Jeong, Eun Jung Cha, Do Yeun Cho, Young Jin Kim, Ji Woong Son
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Yeungnam Univ J Med. 2017;34(2):270-274. Published online December 31, 2017
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DOI: https://doi.org/10.12701/yujm.2017.34.2.270
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Abstract
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- A nodular density was detected on a chest radiograph taken from a 57-year-old Korean woman who was visiting a hospital for a routine check. Chest computed tomography revealed a 4.8 cm lobulated mass in the right lung and another focal nodular lesion in the left lung; biopsies of both lungs revealed adenocarcinoma. We conducted DNA sequencing and peptide nucleic acid clamping to investigate the potential double primary lung cancer. The results verified that the mass in the right lung had a mutation in the epidermal growth factor receptor, whereas the nodule in the left lung had a wild-type sequence, showing that these two were genetically different cancers from one another. Thus, we demonstrate that genetic testing is useful in determining double primary lung cancer, and we herein report on this case.
Review
- Microbial Genome Analysis and Application to Clinical Bateriology.
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Sung Kwang Kim
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Yeungnam Univ J Med. 2002;19(1):1-10. Published online June 30, 2002
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DOI: https://doi.org/10.12701/yujm.2002.19.1.1
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Abstract
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- With the establishment of rapid sequence analysis of 16S rRNA and the recognition of its patential to determine the phylogenetic position of any prokaryotic organism, the role of 16S rRNA similarities in the present species definition in bacteriology need to be clarified. Comparative studies clearly reveal the limitations of the sequence analysis of this conserved gene and gene product in the determination of relationship at the pathogenic strain level for which DNA-DNA reassociation exprements still constitute the superior method. Since today the primary structure of 16S rRNA is easier to determine than hybridization between DNA strands, the strength of the sequence analysis is to recognize the level at which DNA pairing studies need to be performed, which certainly applies to similarities of 97% and higher.
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