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| 1 | Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapy显示文摘Conventional immunohistochemistry(IHC)is a widely used diagnostic technique in tissue pathology.However,this technique is associated with a number of limitations,including high inter-observer variability and the capacity to label only one marker per tissue section.This review details various highly multiplexed techniques that have emerged to circumvent these constraints,allowing simultaneous detection of multiple markers on a single tissue section and the comprehensive study of cell composition,cellular functional and cell-cell interactions.Among these techniques,multiplex Immunohistochemistry/Immunofluorescence(mIHC/IF)has emerged to be particularly promising.mIHC/IF provides high-throughput multiplex staining and standardized quantitative analysis for highly reproducible,efficient and cost-effective tissue studies.This technique has immediate potential for translational research and clinical practice,particularly in the era of cancer immunotherapy. | Wei Chang Colin Tan Sanjna Nilesh Nerurkar Hai Yun Cai Harry Ho Man Ng Duoduo Wu Yu Ting Felicia Wee Jeffrey Chun Tatt Lim Joe Yeong Tony Kiat Hon Lim | 2020 | Cancer Communications2020，40，4： | 11 |
| 2 | Incidence and Phenotype of Inflammatory Bowel Disease Based on Results From the Asia-Pacific Crohn’s and Colitis Epidemiology Study显示文摘 | Siew C. Ng Whitney Tang Jessica Y. Ching May Wong Chung Mo Chow A.J. Hui T.C. Wong Vincent K. Leung Steve W. Tsang Hon Ho Yu Mo Fong Li Ka Kei Ng Michael A. Kamm Corrie Studd Sally Bell Rupert Leong H. Janaka de Silva Anuradhani Kasturiratne M.N.F. Mufeen | 2013 | Gastroenterology2013，，1： | 6 |
| 3 | 肿瘤免疫治疗时代的多重免疫组织化学/免疫荧光技术显示文摘常规免疫组织化学(immunohistochemistry,IHC)是组织病理学中广泛应用的诊断技术。但该技术存在诸多局限性,包括观察者间的变异性高,每张组织切片仅能标记一个标志物。本文详细描述了各种多重检测技术,这些技术克服了上述局限性,可在单张切片上同时检测多个标志物,可对细胞组成、细胞功能和细胞间相互作用进行整合研究。在这些技术中,多重免疫组织化学/免疫荧光(multiplex immunohistochemistry/immunofluorescence,mIHC/IF)已成为最具应用前景的技术。mIHC/IF为开展高重复性、高效、高性价比的组织研究提供了高通量多重染色技术和标准化的定量分析。该技术在转化研究和临床实践中,尤其是肿瘤免疫治疗中极具应用价值。 | Wei Chang Colin Tan Sanjna Nilesh Nerurkar Hai Yun Cai Harry Ho Man Ng Duoduo Wu Yu Ting Felicia Wee Jeffrey Chun Tatt Lim Joe Yeong Tony Kiat Hon Lim | 2021 | 癌症2021，40，9： | 2 |
| 4 | Incidence and Phenotype of Inflammatory Bowel Disease Based on Results From the Asia-Pacific Crohn’s and Colitis Epidemiology Study显示文摘 | Siew C. Ng Whitney Tang Jessica Y. Ching May Wong Chung Mo Chow A.J. Hui T.C. Wong Vincent K. Leung Steve W. Tsang Hon Ho Yu Mo Fong Li Ka Kei Ng Michael A. Kamm Corrie Studd Sally Bell Rupert Leong H. Janaka de Silva Anuradhani Kasturiratne M.N.F. Mufeen | 2013 | Gastroenterology2013，，1： | 1 |
| 5 | Incidence and Phenotype of Inflammatory Bowel Disease Based on Results From the Asia-Pacific Crohn’s and Colitis Epidemiology Study显示文摘 | Siew C. Ng Whitney Tang Jessica Y. Ching May Wong Chung Mo Chow A.J. Hui T.C. Wong Vincent K. Leung Steve W. Tsang Hon Ho Yu Mo Fong Li Ka Kei Ng Michael A. Kamm Corrie Studd Sally Bell Rupert Leong H. Janaka de Silva Anuradhani Kasturiratne M.N.F. Mufeen | 2013 | Gastroenterology2013，，1： | 1 |
| 6 | Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment:A minireview显示文摘Gastrointestinal(GI)cancers are the major cause of cancer-related mortality globally.Medical imaging is an important auxiliary means for the diagnosis,assessment and prognostic prediction of GI cancers.Radiomics is an emerging and effective technology to decipher the encoded information within medical images,and traditional machine learning is the most commonly used tool.Recent advances in deep learning technology have further promoted the development of radiomics.In the field of GI cancer,although there are several surveys on radiomics,there is no specific review on the application of deep-learning-based radiomics(DLR).In this review,a search was conducted on Web of Science,PubMed,and Google Scholar with an emphasis on the application of DLR for GI cancers,including esophageal,gastric,liver,pancreatic,and colorectal cancers.Besides,the challenges and recommendations based on the findings of the review are comprehensively analyzed to advance DLR. | Pak Kin Wong In Neng Chan Hao-Ming Yan Shan Gao Chi Hong Wong Tao Yan Liang Yao Ying Hu Zhong-Ren Wang Hon Ho Yu | 2022 | World Journal of Gastroenterology2022，28，45： | 1 |
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