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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 1450-1450
    Abstract: Transcriptomics and sequencing analyses of tumors from patients provide invaluable information about the cells present in the tumor microenvironment (TME); however, nerves, whose cell bodies are absent from most peripheral TMEs, have eluded such approaches. Recent emerging data highlight the functional importance of innervation in the TME and its contribution to tumor progression, metastasis, and treatment resistance. The Exoneural Platform developed at Cygnal Therapeutics allows for investigation of complex biology in the context of multi-cell culture conditions in vitro and in vivo. As part of this platform, we have developed tools for rapid and selective manipulation of different cell types with the ability to monitor multiple cell specific read-outs. Here, we used a combination of approaches including RNA-seq, bioinformatics, immunohistochemistry, and microscopy to investigate the role of synaptic function in cancer biology. Transcriptomics analyses on co-cultures revealed a direct interaction between nerves and cancer cells based on cell type specific gene expression and ligand - receptor interaction assessment. Both neurons and cancer cells showed a profound shift in their gene expression profile when cultured together. This differential gene expression was reversed if neurons were ablated, pointing to the reversibility of this change and, potentially, the disease state itself. Examination for presence and function of synaptic proteins showed that synaptic proteins, such as PSD95 and synapsin1, were expressed in co-cultures, and in many cases, a co-localization of pre - and post - synaptic markers was observed. Selective stimulation of dorsal ganglion root (DRG) neurons, co-cultured with cancer cells, resulted in a robust and acute increase of cytosolic calcium in cancer cells. Bioinformatic image analysis confirmed that this calcium influx in cancer cells directly correlated with proximity and density of neurites to cancer cells. A calcium response was not observed if DRGs and cancer cells were cultured in two separate chambers between which media can freely travel, confirming that close proximity is required for this interaction. Pharmacological and genetic knock down of key synaptic proteins resulted in changes in cancer cell calcium influx and affected proliferation and gene expression. Bioinformatics analyses, based on public and proprietary data, have identified the synaptic pathway as a major contributing node that influences cancer cell biology in the context of several cancer types. These data collectively point to the importance of exoneural biology, and more specifically, synaptic biology in cancer. More importantly, these results are likely to suggest new oncology targets that have not been identified or pursued previously. Citation Format: Monica Thanawala, Chih-Chieh Wang, Jesse G. Turner, Kai-Chih Huang, Lexiang Ji, Alison Miller, Alexandria Fink, Shan Lou, Alexandra B. Lantermann, Hongyue Dai, John A. Wagner, Grazia Piizi, Jonathan B. Hurov, Pearl Huang, Amir M. Sadaghiani. Neural communication to peripheral tumors regulates cancer cell activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1450.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2010
    In:  Nature Structural & Molecular Biology Vol. 17, No. 2 ( 2010-2), p. 251-257
    In: Nature Structural & Molecular Biology, Springer Science and Business Media LLC, Vol. 17, No. 2 ( 2010-2), p. 251-257
    Type of Medium: Online Resource
    ISSN: 1545-9993 , 1545-9985
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2010
    detail.hit.zdb_id: 2131437-8
    SSG: 12
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  • 3
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 20, No. 12_Supplement ( 2021-12-01), p. P262-P262
    Abstract: Linking features of the tumor microenvironment (TME) to patient outcome is ambitious yet crucial to understand cancer progression and prognosis in order to develop new therapies. The current method to assess histopathological images is visual inspection by a professional, generally a pathologist. While this is an effective approach for diagnosis, it does not scale well for discovery biology and population-based studies for drug discovery purposes. An automated approach would allow for a more rapid, systematic, and comprehensive analysis of several morphological features of the TME by taking advantage of thousands of already existing slides within databases and biobanks. Recent studies have shown intriguing relationships between innervation in tumors (tumor exoneural biology) and patient outcomes. Here we present an automated tool that can detect and quantify nerve presence in tumors. We manually annotated a set of digital slides from The Cancer Genome Atlas (TCGA) in order to develop a deep learning model to quantify the presence of nerves in head and neck tumors stained with H & E. This tool is generalizable and was applied to identify patterns in the appearance of tumor-infiltrating lymphocytes (TILs) in and around tumors. It may be further applied to other structural features such as blood vessels in order to characterize and correlate these features within the TME in hundreds of images across cancer types. This enables integration of imaging features with multi-omics data to uncover potential biological pathways that are upregulated in groups with dense innervation compared to sparse innervation in cancer. The main advantage of this approach is the ability to utilize many public databases in which the features of interest can be correlated with reported patient comorbidities, treatments, and phenotypes. This platform-based methodology can be expanded to other disease areas and could ultimately provide valuable insight about exoneural biology and its role in disease physiology to identify new avenues for therapies. Citation Format: Alison R. Miller, Daniel Krasnonosenkikh, Monica Thanawala, Kai Chih Huang, George V. Thomas, Alexandra B. Lantermann, Hongyue Dai, Masoud Sadaghiani, John A. Wagner, Pearl Huang. Automated nerve identification in histopathology slides enables comprehensive analysis of innervation in cancer and tumor neurobiology [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P262.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2062135-8
    SSG: 12
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  • 4
    In: Nature, Springer Science and Business Media LLC, Vol. 482, No. 7383 ( 2012-2), p. 53-58
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
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    SSG: 11
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  • 5
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 22 ( 2015-11-15), p. 4937-4948
    Abstract: Patients with lung tumors harboring activating mutations in the EGF receptor (EGFR) show good initial treatment responses to the EGFR tyrosine kinase inhibitors (TKI) erlotinib or gefitinib. However, acquired resistance invariably develops. Applying a focused shRNA screening approach to identify genes whose knockdown can prevent and/or overcome acquired resistance to erlotinib in several EGFR-mutant non–small cell lung cancer (NSCLC) cell lines, we identified casein kinase 1 α (CSNK1A1, CK1α). We found that CK1α suppression inhibits the NF-κB prosurvival signaling pathway. Furthermore, downregulation of NF-κB signaling by approaches independent of CK1α knockdown can also attenuate acquired erlotinib resistance, supporting a role for activated NF-κB signaling in conferring acquired drug resistance. Importantly, CK1α suppression prevented erlotinib resistance in an HCC827 xenograft model in vivo. Our findings suggest that patients with EGFR-mutant NSCLC might benefit from a combination of EGFR TKIs and CK1α inhibition to prevent acquired drug resistance and to prolong disease-free survival. Cancer Res; 75(22); 4937–48. ©2015 AACR.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 6
    Online Resource
    Online Resource
    Bentham Science Publishers Ltd. ; 2016
    In:  Epigenetic Diagnosis & Therapy Vol. 1, No. 2 ( 2016-03-15), p. 106-119
    In: Epigenetic Diagnosis & Therapy, Bentham Science Publishers Ltd., Vol. 1, No. 2 ( 2016-03-15), p. 106-119
    Type of Medium: Online Resource
    ISSN: 2214-0832
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2016
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