2018

Integrative network biology analysis identifies miR-508-3p as the determinant for the mesenchymal identity and a strong prognostic biomarker of ovarian cancer.

Authors Zhao L†, Wang W†, Xu L, Yi T, Zhao X, Wei Y, Vermeulen L, Goel A, Zhou S* and Wang X* Oncogene 2018, doi:https://doi.org/10.1038/s41388-018-0577-5 Abstract Ovarian cancer is a heterogeneous malignancy that poses tremendous clinical challenge. Based on unsupervised classification of whole-genome gene expression profiles, four molecular subtypes of ovarian cancer were recently identified. However, single-driver molecular events specific to these subtypes have not been clearly elucidated. We aim to characterize the regulatory mechanisms underlying the poor prognosis mesenchymal subtype of ovarian cancer using a systems biology approach, involving a variety of molecular modalities including gene and microRNA expression profiles.

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High-throughput Brain Activity Mapping and Machine Learning as a Foundation for Systems Neuropharmacology.

Authors Lin X†, Duan X†, Jacobs C, Ullmann J, Chan CY, Chen S, Cheng SH, Zhao WN, Poduri A, Wang X*, Haggarty SJ*, Shi P* Nature Communications 2018, doi:https://doi.org/10.1038/s41467-018-07289-5 Abstract Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherapeutics for neurological and psychiatric disorders.

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mTORC1 Promotes Metabolic Reprogramming by the Suppression of GSK3-Dependent Foxk1 Phosphorylation.

Authors He L, Gomes AP†, Wang X†, Yoon SO, Lee G, Nagiec M, Cho S, Chavez A, Islam T, Yu Y, Asara JM, Kim BY, Blenis J. Molecular Cell 2018, doi:https://doi.org/10.1016/j.molcel.2018.04.024 Abstract Highlights mTORC1 suppresses GSK3-dependent Foxk1 phosphorylation Foxk1 phosphorylation promotes 14-3-3 binding and nuclear exclusion Foxk1 transcriptionally regulates Hif1α expression Foxk1 and Hif1α contribute to mTORC1-regulated metabolic reprogramming Summary The mammalian Target of Rapamycin Complex 1 (mTORC1)-signaling system plays a critical role in the maintenance of cellular homeostasis by sensing and integrating multiple extracellular and intracellular cues.

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Molecular subtyping of colorectal cancer: recent progress, new challenges and emerging opportunities.

Authors Wang W†, Kandimalla R†, Huang H†, Zhu L, Li Y, Gao F, Goel A*,Wang X* Seminars in Cancer Biology 2018, doi:10.1016/j.semcancer.2018.05.002 Abstract Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Similar to many other malignancies, CRC is a heterogeneous disease, making it a clinical challenge for optimization of treatment modalities in reducing the morbidity and mortality associated with this disease. A more precise understanding of the biological properties that distinguish patients with colorectal tumors, especially in terms of their clinical features, is a key requirement towards a more robust, targeted-drug design, and implementation of individualized therapies.

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Genome-wide discovery and identification of a novel miRNA signature for recurrence prediction in stage II and III colorectal cancer

Authors Kandimalla R†, Gao F†, Matsuyama T, Ishikawa T, Uetake H, Takahashi N, Yamada Y, Becerra C, Kopetz S, Wang X* and Goel A*. Clin Cancer Res 2018 Purpose The current TNM (Tumor Node Metastasis) staging system is inadequate at identifying high-risk colorectal cancer (CRC) patients. Using a systematic and comprehensive-biomarker discovery and validation approach, we aimed to identify a miRNA-recurrence classifier (MRC) that can improve upon the current TNM-staging as well as superior to currently offered molecular assays.

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The RNA binding protein SORBS2 suppresses metastatic colonization of ovarian cancer by stabilizing tumor-suppressive immunomodulatory transcripts.

Authors Zhao L†, Wang W†, Huang S†, Yang Z†, Xu L†, Yang Q†, Zhou X, Wang J, Shen Q, Wang C, Le X, Feng M, Zhou N, Lau WB, Lau B, Yao S, Yi T, Wang X, Zhao X, Wei Y and Zhou S. Genome Biology 2018, doi:https://doi.org/10.1186/s13059-018-1412-6 Abstract Background Ovarian cancer constitutes one of the most lethal gynecologic malignancies for females. Currently, early detection strategies and therapeutic options for ovarian cancer are far from satisfactory, leading to high diagnosis rates at late stages and disease relapses.

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