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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.6
- 수록면
- 763 - 769 (7page)
- DOI
- 10.1007/s13258-023-01379-5
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초록· 키워드
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Background Adequate resection of normal surgical margins is important. However, the clear distinction between the normal surgical margins and tumor tissues is still difficult.
Objective Here, this study analyzed the variety of cell types in tumors and the normal surgical margins using a computational approach.
Methods The composition of cell types was compared between the two tissues by statistical and machine learning approaches.
Results The results showed the distinct cellular composition between tumor-adjacent and tumor tissues. In particular, endothelial cells were highly represented and macrophages were underrepresented at the normal surgical margin. Moreover, the normal surgical margin and tumor tissues could be discriminated using a machine learning algorithm.
Conclusion The results will help to understand cellular differences between normal surgical margins and tumor tissues and to provide potentials for tumor detection and treatment.
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