يعرض 1 - 20 نتائج من 58 نتيجة بحث عن '"Serous Carcinomas"', وقت الاستعلام: 0.52s تنقيح النتائج
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    Dissertation/ Thesis

    المساهمون: Romero Castro, Edgar Eduardo, Salguero Lopez, Jennifer, Cim@Lab

    وصف الملف: xi, 34 páginas; application/pdf

    Relation: A. Ghoneum, Role of tumor microenvironment in ovarian cancer pathobiology, 27 April 2018. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978268; I.J. Jacobs, «Progress and Challenges in Screening for Early Detection of Ovarian Cancer*, Molecular & Cellular Proteomics» [En línea]. Available: https://doi.org/10.1074/mcp.R400006-MCP200.; KM. Boehm. Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer. Nat Cancer. 2022 Jun;3(6):723-733. doi:10.1038/s43018-022-00388-9.; Y. Yang. Tumor Microenvironment in Ovarian Cancer: Function and Therapeutic Strategy. 11 August 2020. https://pubmed.ncbi.nlm.nih.gov/25271436/.; C. Lan. Quantitative histology analysis of the ovarian tumour microenvironment, 17 November 2015. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647219; Xu H., Machine Learning and Artificial Intelligence–driven Spatial Analysis of the Tumor Immune Microenvironment in Pathology Slides, European Urology Focus,Volume 7, Issue 4, 2021, Pages 706-709, ISSN 2405-4569, https://doi.org/10.1016/j.euf.2021.07.006.; S. Mittal. Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology, 4 Junio 2018. https://doi.org/10.1073/pnas.1719551115; P. Ribeiro, Tumor microenvironment components: Allies of cancer progression, Pathology - Research and Practice, Volume 216, Issue 1, 2020, 152729, ISSN 0344-0338, https://doi.org/10.1016/j.prp.2019.152729; S. Nawaz, Computational pathology: Exploring the spatial dimension of tumor ecology, Cancer Letters, Volume 380, Issue 1, 2016, Pages 296-303, ISSN 0304-3835, https://doi.org/10.1016/j.canlet.2015.11.018; A. Heindl, Similarity and diversity of the tumor microenvironment in multiple metastases: critical implications for overall and progression-free survival of high-grade serous ovarian cancer, 2016. https://doi.org/10.18632/oncotarget.12106; ZG Liu, Necroptosis, tumor necrosis and tumorigenesis. Cell Stress. 2019 Dec 19;4(1):1-8. doi:10.15698/cst2020.01.208; Zhao, Y., Stromal cells in the tumor microenvironment: accomplices of tumor progression?. Cell Death Dix 14, 587 (2023). https://doi.org/10.1038/s41419-023-06110-6; American Cancer Society, Inc., Key Statistics for Ovarian Cancer, 12 January 2021. https://www.cancer.org/cancer/ovarian-cancer/about/key-statistics.html; F. Ning. Driving Immune Responses in the Ovarian Tumor Microenvironment, 15 January 2021. https://www.frontiersin.org/articles/10.3389/fonc.2020.604084/full; International Agency for Research on Cancer, Colombia Cancer Statistics, March 2021. https://gco.iarc.fr/today/data/factsheets/populations/170-colombia-fact-sheets.pdf; R. Yigit. Ovarian cancer creates a suppressive microenvironment to escape immune elimination. May 2010. Available: https://doi.org/10.1016/j.ygyno.2010.01.019; H. Sadeghi. Understanding the tumor microenvironment for effective immunotherapy. Med Res Rev. May 2021;41(3):1474-1498. doi:10.1002/med.21765; S. Sanegre. Integrating the Tumor Microenvironment into Cancer Therapy. Cancers (Basel). Jun 2020;12(6):1677. doi:10.3390/cancers12061677; S. Tiwari. INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival. Febrary 2021 doi:10.1126/sciadv.abb8292; J. Breen. Artificial intelligence in ovarian cancer histopathology: a systematic review. August 2023 doi: https://doi.org/10.1038/s41698-023-00432-6; LK. Hema. Region-Based Segmentation and Classification for Ovarian Cancer Detection Using Convolution Neural Network. November 2022 doi:10.1155/2022/5968939; CW Wang. Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images. July 2022 doi:10.1016/j.compmedimag.2022.102093; M Wu. Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network. Jan 2023 doi:10.3389/fgene.2022.1069673; Tiwari S. INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival. Sci Adv. 2021 Feb 3;7(6):eabb8292. doi:10.1126/sciadv.abb8292; CR Stoltzfus. CytoMAP: A Spatial Analysis Toolbox Reveals Features of Myeloid Cell Organization in Lymphoid Tissues. Cell Rep. 2020 Apr 21;31(3):107523. doi:10.1016/j.celrep.2020.107523; CM Schürch. Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front. Cell. 2020 Sep 3;182(5):1341-1359.e19. doi:10.1016/j.cell.2020.07.005; AK Casasent. Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing. Cell. 2018 Jan 11;172(1-2):205-217.e12. doi:10.1016/j.cell.2017.12.007; MA Lisio. High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. Int J Mol Sci. 2019 Feb 22;20(4):952. doi:10.3390/ijms20040952; S Huh. Novel Diagnostic Biomarkers for High-Grade Serous Ovarian Cancer Uncovered by Data-Independent Acquisition Mass Spectrometry. J Proteome Res. 2022 Sep 2;21(9):2146-2159. doi:10.1021/acs.jproteome.2c00218; R. Zhou. Survival prediction of ovarian serous carcinoma based on machine learning combined with pathological images and clinical information. 2024 April. AIP Advances 14, 045324. doi:10.1063/5.0196414; CW. Wang. A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker. Cancers (Basel). 2022 Mar 24;14(7):1651. doi:10.3390/cancers14071651; A. Gockley. Outcomes of Women With High-Grade and Low-Grade Advanced-Stage Serous Epithelial Ovarian Cancer. Obstet Gynecol. 2017 Mar;129(3):439-447. doi:10.1097/AOG.0000000000001867; K. Yoshihara: "Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets." PLoS One. 2010 Mar 10;5(3). doi:10.1371/journal.pone.0009615; The Cancer Genome Atlas Research Network: "Integrated genomic analyses of ovarian carcinoma." Nature. 2011 Jun 29;474(7353):609-15. doi:10.1038/nature10166; https://repositorio.unal.edu.co/handle/unal/86841; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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