Browsing by Author "Shen, Hui"

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    High-throughput and high-accuracy diagnosis of multiple myeloma with multi-object detection
    (Optica Publishing Group, 2022-11-23) Mei, Liye; Shen, Hui; Yu, Yalan; Weng, Yueyun; Li, Xiaoxiao; Zahid, Kashif Rafiq; Huang, Jin; Wang, Du; Liu, Sheng; Zhou, Fuling; Lei, Cheng; Radiation Oncology, School of Medicine
    Multiple myeloma (MM) is a type of blood cancer where plasma cells abnormally multiply and crowd out regular blood cells in the bones. Automated analysis of bone marrow smear examination is considered promising to improve the performance and reduce the labor cost in MM diagnosis. To address the drawbacks in established methods, which mainly aim at identifying monoclonal plasma cells (monoclonal PCs) via binary classification, in this work, considering that monoclonal PCs is not the only basis in MM diagnosis, for the first we construct a multi-object detection model for MM diagnosis. The experimental results show that our model can handle the images at a throughput of 80 slides/s and identify six lineages of bone marrow cells with an average accuracy of 90.8%. This work makes a step further toward full-automatic and high-efficiency MM diagnosis.
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    Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis
    (Springer Nature, 2023) Garcia-Recio, Susana; Hinoue, Toshinori; Wheeler, Gregory L.; Kelly, Benjamin J.; Garrido-Castro, Ana C.; Pascual, Tomas; De Cubas, Aguirre A.; Xia, Youli; Felsheim, Brooke M.; McClure, Marni B.; Rajkovic, Andrei; Karaesmen, Ezgi; Smith, Markia A.; Fan, Cheng; Gonzalez Ericsson, Paula I.; Sanders, Melinda E.; Creighton, Chad J.; Bowen, Jay; Leraas, Kristen; Burns, Robyn T.; Coppens, Sara; Wheless, Amy; Rezk, Salma; Garrett, Amy L.; Parker, Joel S.; Foy, Kelly K.; Shen, Hui; Park, Ben H.; Krop, Ian; Anders, Carey; Gastier-Foster, Julie; Rimawi, Mothaffar F.; Nanda, Rita; Lin, Nancy U.; Isaacs, Claudine; Marcom, P. Kelly; Storniolo, Anna Maria; Couch, Fergus J.; Chandran, Uma; Davis, Michael; Silverstein, Jonathan; Ropelewski, Alexander; Liu, Minetta C.; Hilsenbeck, Susan G.; Norton, Larry; Richardson, Andrea L.; Symmans, W. Fraser; Wolff, Antonio C.; Davidson, Nancy E.; Carey, Lisa A.; Lee, Adrian V.; Balko, Justin M.; Hoadley, Katherine A.; Laird, Peter W.; Mardis, Elaine R.; King, Tari A.; AURORA US Network; Perou, Charles M.; Medicine, School of Medicine
    The AURORA US Metastasis Project was established with the goal to identify molecular features associated with metastasis. We assayed 55 females with metastatic breast cancer (51 primary cancers and 102 metastases) by RNA sequencing, tumor/germline DNA exome and low-pass whole-genome sequencing and global DNA methylation microarrays. Expression subtype changes were observed in ~30% of samples and were coincident with DNA clonality shifts, especially involving HER2. Downregulation of estrogen receptor (ER)-mediated cell-cell adhesion genes through DNA methylation mechanisms was observed in metastases. Microenvironment differences varied according to tumor subtype; the ER+/luminal subtype had lower fibroblast and endothelial content, while triple-negative breast cancer/basal metastases showed a decrease in B and T cells. In 17% of metastases, DNA hypermethylation and/or focal deletions were identified near HLA-A and were associated with reduced expression and lower immune cell infiltrates, especially in brain and liver metastases. These findings could have implications for treating individuals with metastatic breast cancer with immune- and HER2-targeting therapies.
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    Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis
    (Nature Research, 2020-01-22) Wang, Zhiying; Bian, Liangqiao; Mo, Chenglin; Shen, Hui; Zhao, Lan Juan; Su, Kuan-Jui; Kukula, Maciej; Lee, Jauh Tzuoh; Armstrong, Daniel W.; Recker, Robert; Lappe, Joan; Bonewald, Lynda F.; Deng, Hong-Wen; Brotto, Marco; Anatomy and Cell Biology, School of Medicine
    Osteoporosis is a highly prevalent chronic aging-related disease that frequently is only detected after fracture. We hypothesized that aminobutyric acids could serve as biomarkers for osteoporosis. We developed a quick, accurate, and sensitive screening method for aminobutyric acid isomers and enantiomers yielding correlations with bone mineral density (BMD) and osteoporotic fracture. In serum, γ-aminobutyric acid (GABA) and (R)-3-aminoisobutyric acid (D-BAIBA) have positive associations with physical activity in young lean women. D-BAIBA positively associated with hip BMD in older individuals without osteoporosis/osteopenia. Lower levels of GABA were observed in 60-80 year old women with osteoporotic fractures. Single nucleotide polymorphisms in seven genes related to these metabolites associated with BMD and osteoporosis. In peripheral blood monocytes, dihydropyrimidine dehydrogenase, an enzyme essential to D-BAIBA generation, exhibited positive association with physical activity and hip BMD. Along with their signaling roles, BAIBA and GABA might serve as biomarkers for diagnosis and treatments of osteoporosis.