지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.5
- 수록면
- 192 - 192 (1page)
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Introduction
Bile duct cancer is a heterogeneous tumor entity harboring distinct tumor biology and clinical phenotype according to their unique tumor microenvironment (TME), especially anatomic location in terms of intrahepatic, peri-hilar, and distal extrahepatic portion. Therefore, there is a clear unmet need for the precision strategy based on cancer-specific genomic features rather than previous molecular subtypes from bulk RNA sequencing.
Methods
Comprehensive analyses were performed using the dataset from the cancer dependency map (DepMap) project, including cancer-specific molecular characterization with multi-omics data, genome-wide loss-of-function screening with CRISPR-Cas9 system, and drug sensitivity with compound screening to uncover cancer-specific molecular subtypes showing clinical relevance. The cancer-specific molecular signatures were validated in independent translational cohorts (TCGA-CHOL; n=45, ICGC-BTC; n=181, GSE132305; n=220).
Results
Integrative profiling of transcriptome from ... 전체 초록 보기
Bile duct cancer is a heterogeneous tumor entity harboring distinct tumor biology and clinical phenotype according to their unique tumor microenvironment (TME), especially anatomic location in terms of intrahepatic, peri-hilar, and distal extrahepatic portion. Therefore, there is a clear unmet need for the precision strategy based on cancer-specific genomic features rather than previous molecular subtypes from bulk RNA sequencing.
Methods
Comprehensive analyses were performed using the dataset from the cancer dependency map (DepMap) project, including cancer-specific molecular characterization with multi-omics data, genome-wide loss-of-function screening with CRISPR-Cas9 system, and drug sensitivity with compound screening to uncover cancer-specific molecular subtypes showing clinical relevance. The cancer-specific molecular signatures were validated in independent translational cohorts (TCGA-CHOL; n=45, ICGC-BTC; n=181, GSE132305; n=220).
Results
Integrative profiling of transcriptome from ... 전체 초록 보기
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