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6 citation(s) found for "Yu, Xiaoyuan".

Improving Calibration of Photon Counting Detector CT Using Redundant Sampling
Hsieh, Scott S. , Day, James , Deng, Xiaoyuan , Bazalova‐Carter, Magdalena

2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conferen | December 18, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1-1

10.1109/nss/mic/rtsd57106.2025.11286727 Get It

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation
Guo, Xiaoyuan , Gichoya, Judy Wawira , Trivedi, Hari , Purkayastha, Saptarshi , Banerjee, Imon , Gichoya, Judy W. , Purkayastha, Saptarshi , Banerjee, Imon , Trivedi, Hari

IEEE Journal of Biomedical and Health Informatics | May 11, 2023 | Volume: 27 | Issue: 8 | Pages: 3936-3947

10.1109/jbhi.2023.3275104 | PMID 37167055 Get It

CNS T-Cell Lymphoma Many Years After Hemophagocytic Lymphohistiocytosis
Zhu, Agnes , Itoh, Christopher Y. , Coburn, Ryan P., Lu, Lauren , Mustafa, Rafid , Lu, Lauren Xiaoyuan , Coburn, Ryan P

Neurology | March 28, 2023 | Volume: 101 | Issue: 8 | Pages: 369-370

10.1212/wnl.0000000000207244 | PMID 36977599 Get It

Molecular evolution in different subtypes of multifocal hepatocellular carcinoma
Ding, Keyue , Tang, Xia , Li, Qingshu , Shao, Yue, Wan, Li , Zhao, Dachun, Li, Xiaoyuan , Wu, Songfeng , Wang, Haijian , Xiang, Lei, Li, Dewei

No container title available | February 2, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2515298/v1 Get It

Abstract Background: Multifocal hepatocellular carcinoma (MF-HCC) accounts for >40% of HCCs, demonstrating a poor prognosis than single primary HCCs. Characterizing the dynamic changes of mutation signature along with clonal evolution, quantifying intrahepatic metastatic timing, and investigating the genetic structure in the preneoplastic stage underlying different subtypes of MF-HCC are important for understanding their molecular evolution and developing a precision management strategy. Methods: We conducted whole-exome sequencing in 74 tumor samples from spatially distinct regions in 35 resected tumor lesions and adjacent non-cancerous tissues in 11 patients with synchronous MF-HCCs, 15 histologically confirmed preneoplastic lesions and six samples from peripheral blood mononuclear cell. We also used the previously published MF-HCC cohorts (n=9) as an independent validation dataset. Results: We classified MF-HCCs into three subtypes, including intrahepatic metastasis, multicentric occurrence, and mixed intrahepatic metastasis and multicentric occurrence. The dynamic changes in mutation signatures between tumor subclonal expansions demonstrated varied etiologies underlying the clonal progression in different MF-HCC subtypes, especially the contribution of aristolochic acid exposure decreased along with subclonal expansions. The clonal evolution in intrahepatic metastasis exhibited an early metastatic seeding that occurred at 10-4–0.01 cm3 in primary tumor volume, below the limitation in clinical detection. These findings were validated in another independent cohort. In addition, for multicentric occurrence MF-HCC, mutational footprints in the preneoplastic lesions revealed common preneoplastic arising clones, evidently being ancestors of different tumor sites. Conclusion: Our study comprehensively characterized the dynamic mutational signature, early metastatic timing, and common preneoplastic clones in multicentric occurrence that characterized the varied tumor clonal evolutionary history underlying different subtypes of MF-HCC, and provided important implications for optimizing personalized clinical management for MF-HCC.
Margin-aware intraclass novelty identification for medical images
Guo, Xiaoyuan , Gichoya, Judy W. , Purkayastha, Saptarshi , Banerjee, Imon , Banerjee, Imon , Purkayastha, Saptarshi , Gichoya, Judy W.

Journal of Medical Imaging | February 3, 2022 | Volume: 9 | Issue: 01 | Pages: No page available

10.1117/1.jmi.9.1.014004 | PMID 35127968 Get It

ARNT/HIF‐1β links high‐risk 1q21 gain and microenvironmental hypoxia to drug resistance and poor prognosis in multiple myeloma
Liu, Yingmin , Yi-cheng, LU , Liu, Xiaobo , Liu, Xuelian , Ye, Long , Sun, Yue , Wang, Xue , Yang, Pei‐Yu , Gao, Sujun , Kumar, Shaji , Jin, Fengyan , Dai, Yun , Li, Wei , Dai, Yun , Wu, Chuan, Yang, Ting , Yang, Yanping , Li, Qingchao , Yu, Xiaoyuan

Cancer Medicine | June 21, 2018 | Volume: 7 | Issue: 8 | Pages: 3899-3911

10.1002/cam4.1596 | PMID 29926531 Get It

Abstract1q21 gain is a common cytogenetic abnormality featuring high‐risk multiple myeloma (HRMM). However, the molecular mechanism underlying the adverse prognostic effect of 1q21 gain remains largely unclear. Here, we report that ARNT/HIF‐1β, a 1q21 gene, is highly expressed in HRMM and induced by microenvironmental hypoxia, which confers drug resistance and correlates with inferior outcome. Analysis of the gene expression profile database revealed that ARNT expression was upregulated in MM and increased with disease progression or in HRMM subtypes (particularly 1q21 gain), while correlated to shorter overall survival. In a cohort of 40 MM patients, qPCR further validated that ARNT expression was higher in MM patients than normal donors. MM cells carrying 1q21 gain or acquired drug resistance displayed a robust increase in HIF‐1β protein level. Hypoxia induced HIF‐1β expression via a NF‐κB‐dependent process. Notably, HIF‐1β overexpression impaired bortezomib sensitivity, whereas shRNA knockdown of ARNT reversed hypoxia‐mediated drug resistance. Together, these findings suggest that ARNT/HIF‐1β might represent a novel biomarker for risk stratification and prognosis of HRMM patients, as well as a potential therapeutic target for overcoming 1q21 gain‐ or microenvironment‐mediated and acquired drug resistance in MM.