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  • / <span>Artificial intelligence (AI)-powered tumor microenvironment (TME) analysis to identify potential biomarkers for ICIs with or without bevacizumab in hepatocellular carcinoma (HCC).</span>

Artificial intelligence (AI)-powered tumor microenvironment (TME) analysis to identify potential biomarkers for ICIs with or without bevacizumab in hepatocellular carcinoma (HCC).

Abstract Poster

Authors

Hong Jae Chon

Hong Jae Chon

Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea

Hong Jae Chon , Gwangil Kim , Beodeul Kang , Jung Yong Hong , Haeyoun Kang , Sohyun Hwang , Sung Hwan Lee , Sanghoon Jung , Chansik An , Won Suk Lee , Seulki Kim , Yoojoo Lim , Siraj Mahamed Ali , Chan-Young Ock , Ho Yeong Lim , Chan Kim

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Poster Details

Meeting

2024 ASCO Gastrointestinal Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session B: Cancers of the Pancreas, Small Bowel, and Hepatobiliary Tract

Track

Pancreatic Cancer,Hepatobiliary Cancer,Neuroendocrine/Carcinoid,Small Bowel Cancer

Sub Track

Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 42, 2024 (suppl 3; abstr 549)

DOI

10.1200/JCO.2024.42.3_suppl.549

Abstract #

549

Poster Bd #

F16

Abstract Disclosures

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