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Ie Ming Shih
Researcher at Johns Hopkins University
Publications - 401
Citations - 40438
Ie Ming Shih is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Ovarian cancer & Serous fluid. The author has an hindex of 97, co-authored 378 publications receiving 35329 citations. Previous affiliations of Ie Ming Shih include Howard Hughes Medical Institute & MedStar Washington Hospital Center.
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Cell Cycle Dependent Alteration in NAC1 Nuclear Body Dynamics and Morphology
TL;DR: Results indicate that a cell cycle-dependent regulatory mechanism controls NAC1 body formation in the nucleus and suggest that Nac1 body dynamics are associated with mitosis or cytokinesis.
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Quantitative proteomic analysis of ovarian cancer cells identified mitochondrial proteins associated with paclitaxel resistance
Yuan Tian,Aik Choon Tan,Xiaer Sun,Matthew T. Olson,Zhi Xie,Natini Jinawath,Daniel W. Chan,Ie Ming Shih,Zhen Zhang,Hui Zhang +9 more
TL;DR: Gene ontology analysis of the protein changes identified upon paclitaxel resistance revealed that cell component enrichment related to mitochondria suggests that mitochondria may play a role in paclitxel resistance.
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Expression of L-selectin ligands in human endometrium during the implantation window after controlled ovarian stimulation for oocyte donation.
Tsung-Hsuan Lai,Tsung-Hsuan Lai,Yulian Zhao,Ie Ming Shih,Chung Liang Ho,Brandon Bankowski,Nikos F. Vlahos +6 more
TL;DR: Controlled ovarian stimulation, using the antagonist protocol in this study, is associated with a reduction of L-selectin ligand expression during the implantation window which may adversely affect the endometrial environment.
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Extrauterine inflammatory myofibroblastic tumor: A case report
TL;DR: This is the first case report of inflammatory myofibroblastic tumor in the literature to present with extrauterine disease and a prompt work-up of symptoms may have precluded a tumor debulking procedure.
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ARID1A immunohistochemistry improves outcome prediction in invasive urothelial carcinoma of urinary bladder.
Sheila F. Faraj,Alcides Chaux,Nilda Gonzalez-Roibon,Enrico Munari,Carla LaShannon Ellis,Tina Driscoll,Mark P. Schoenberg,Trinity J. Bivalacqua,Ie Ming Shih,George J. Netto +9 more
TL;DR: Findings indicate that adding ARID1A expression to pathologic features increases the goodness of fit of the predictive model and offers a better model for predicting outcome than pathological features alone.