Auswahl der wissenschaftlichen Literatur zum Thema „Pancancer“
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Zeitschriftenartikel zum Thema "Pancancer"
Wong, Chi Chun, und Jun Yu. „Mapping the pancancer metastasis tumor microbiome“. Cell 187, Nr. 9 (April 2024): 2126–28. http://dx.doi.org/10.1016/j.cell.2024.03.040.
Der volle Inhalt der QuelleKappmeier, Claudia, Sherina Edward, Corinna Hochstein, Ellen Inga Bruske, Francesca Di Pasquale und Ronny Kellner. „Abstract 1470: Advancing cancer research: A novel PanCancer digital PCR tool for simultaneous detection of multiple hallmark mutations in BRAF and EGFR“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 1470. http://dx.doi.org/10.1158/1538-7445.am2024-1470.
Der volle Inhalt der QuelleLi, Fei, Jing Chen, Xiaoyan Zhang, Dongxiao Yang, Liang Xia, Dazhong Wang, Kai Jin et al. „Characterization of MET exon 14 skipping in pancancer.“ Journal of Clinical Oncology 40, Nr. 16_suppl (01.06.2022): e20530-e20530. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e20530.
Der volle Inhalt der QuelleCheerla, Anika, und Olivier Gevaert. „Deep learning with multimodal representation for pancancer prognosis prediction“. Bioinformatics 35, Nr. 14 (Juli 2019): i446—i454. http://dx.doi.org/10.1093/bioinformatics/btz342.
Der volle Inhalt der QuelleLiu, Kui, Jing Ma, Jiao Ao, Lili Mu, Yixian Wang, Yue Qian, Jin Xue und Wei Zhang. „The Oncogenic Role and Immune Infiltration for CARM1 Identified by Pancancer Analysis“. Journal of Oncology 2021 (27.10.2021): 1–15. http://dx.doi.org/10.1155/2021/2986444.
Der volle Inhalt der QuelleJiang, Aimin, Ye Zhou, Wenliang Gong, Xin Pan, Xinxin Gan, Zhenjie Wu, Bing Liu, Le Qu und Linhui Wang. „CCNA2 as an Immunological Biomarker Encompassing Tumor Microenvironment and Therapeutic Response in Multiple Cancer Types“. Oxidative Medicine and Cellular Longevity 2022 (31.03.2022): 1–35. http://dx.doi.org/10.1155/2022/5910575.
Der volle Inhalt der QuelleKarpova, Alla, Nadezhda V. Terekhanova, Siqi Chen, Reyka G. Jayasinghe, Andrew Houston, Wagma Caravan, Ryan C. Fields und Li Ding. „Abstract 2627: PanCancer epigenetic regulators of lymphocyte activation states“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 2627. http://dx.doi.org/10.1158/1538-7445.am2024-2627.
Der volle Inhalt der QuelleJi, Haizhou, Mi Ren, Tongyu Liu und Yang Sun. „Prognostic and Immunological Significance of CXCR2 in Ovarian Cancer: A Promising Target for Survival Outcome and Immunotherapeutic Response Assessment“. Disease Markers 2021 (19.11.2021): 1–21. http://dx.doi.org/10.1155/2021/5350232.
Der volle Inhalt der QuelleCooper, Lee AD, Elizabeth G. Demicco, Joel H. Saltz, Reid T. Powell, Arvind Rao und Alexander J. Lazar. „PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective“. Journal of Pathology 244, Nr. 5 (22.02.2018): 512–24. http://dx.doi.org/10.1002/path.5028.
Der volle Inhalt der QuelleNorton, John T., Callie B. Pollock, Chen Wang, Julian C. Schink, J. Julie Kim und Sui Huang. „Perinucleolar compartment prevalence is a phenotypic pancancer marker of malignancy“. Cancer 113, Nr. 4 (15.08.2008): 861–69. http://dx.doi.org/10.1002/cncr.23632.
Der volle Inhalt der QuelleDissertationen zum Thema "Pancancer"
Pradat, Yoann. „Analyses of genomic and transcriptomic profiles of metastatic tumors from precision medicine clinical trials“. Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL010.
Der volle Inhalt der QuelleIn the era of extensive data analysis, insights into cancer onset and progression have deepened through molecular analysis of numerous tumors globally. Next-generation sequencing, emerging in the 2000s, transformed cancer cell investigation by enabling exome, transcriptome, and now whole genome profiling. While high-throughput sequencing has not yet entered clinical pratice for all, it is commonly used in trials. The vast data pool thus generated fuels many research areas which contribute to precision oncology advancements. This thesis explores cancer patient cohort analysis and modern oncology tools. The first chapter covers cancer biology fundamentals, emphasizing molecular profiling's evolving role in treatment and research. The second chapter reviews computing tools and databases for sequencing data analysis. These chapters set the stage for the third chapter, focusing on the META-PRISM cohort, comprising 1,031 patients from precision medicine trials at Gustave Roussy. It highlights the molecular specificities of refractory and the promises of predictive modeling based on high-throughput sequencing data. The fourth chapter delves into known and emerging treatment resistance markers in the META-PRISM cohort and two recent clinical studies, revealing target alterations and alternative pathway activations as key resistance factors
Buchteile zum Thema "Pancancer"
Mallona, Izaskun, Alberto Sierco und Miguel A. Peinado. „The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data“. In Methods in Molecular Biology, 123–35. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7768-0_7.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Pancancer"
Lindgren, Caleb M., Chelsie Minor, Lindsey K. Olsen, Brittany Henderson, CPTAC Investigators und Samuel H. Payne. „Abstract 251: Data distribution for easy pancancer analysis“. In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-251.
Der volle Inhalt der QuelleNiavarani, Ahmadreza, Asieh Shahrabi Farahani, Maryam Sharafkhah, Ludmil B. Alexandrov und Reza Malekzadeh. „Abstract 1319: Distinct pancancer mutational signatures are determined byAPOBEC/ADARaberrations“. In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1319.
Der volle Inhalt der QuelleNiavarani, Ahmadreza, Milad Bagheri, Joseph CF Ng, Franca Fraternali und Reza Malekzadeh. „Abstract 1318:APOBEC/ADARaberrations are potentially implicated in certain pancancer hypermutation patterns“. In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1318.
Der volle Inhalt der QuelleElkhanany, A., K. Takabe, T. Khoury, A. Omilian, D. Cheng, E. Katsuta, W. Davis et al. „Abstract P4-06-05: PanCancer profiling reveals population difference in breast cancer immune microenvironment“. In Abstracts: 2018 San Antonio Breast Cancer Symposium; December 4-8, 2018; San Antonio, Texas. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-p4-06-05.
Der volle Inhalt der QuelleZare, Fatima, Javad Noorbakhsh, Tianyu Wang, Jeffrey H. Chuang und Sheida Nabavi. „Integrative Deep Learning for PanCancer Molecular Subtype Classification Using Histopathological Images and RNAseq Data“. In BCB '20: 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388440.3412414.
Der volle Inhalt der QuelleElmas, Abdulkadir, Pedro Molina-Sanchez, Serena Tharakan, Suraj Jaladanki, Tao Liu, Amaia Lujambio und Kuan-lin Huang. „Abstract LB-329: Pancancer proteomic investigation identifies overexpressed kinases as novel cancer dependent targets“. In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-lb-329.
Der volle Inhalt der QuelleMongan, Ann, Warren Tom, Janice Au-Young, Aleksandr Pankov, Gauri Ganpule und Fiona Hyland. „Abstract 5363: Measuring gene expression at the tumor microenvironment: A comparison between nCounter PanCancer Immune Profiling Panel and Oncomine Immune Response Research Assay“. In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-5363.
Der volle Inhalt der QuelleDennis, Lucas, Patrick Danaher, Maribeth Eagan, Andrew White, Nathan Elliot, Namratha Ram, Gayathri Balasundaram et al. „Abstract A49: Building a comprehensive view of tumor biology in breast cancer by combining NanoString's Prosigna assay with the Pancancer Pathways, Immune Profiling, and Progression Panels“. In Abstracts: AACR Special Conference: Advances in Breast Cancer; October 17-20, 2015; Bellevue, WA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1557-3125.advbc15-a49.
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