Zobrazeno 1 - 10
of 4 034
pro vyhledávání: '"CANCER GENOMICS"'
Autor:
Wei Ma, Wenshu Tang, Jamie S.L. Kwok, Amy H.Y. Tong, Cario W.S. Lo, Annie T.W. Chu, Brian H.Y. Chung
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 954-971 (2024)
The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing of individual tumor genome and transcriptome. The steady growth in genome, epigenome, and transcriptome datasets on a genome-wide scale has signi
Externí odkaz:
https://doaj.org/article/cda515341d9942c5b0d46ea39d99d966
Autor:
Dennis Cerrato-Izaguirre, Jonathan González-Ruíz, José Diaz-Chavez, Andrea Ramírez, Anna Scavuzzo, Miguel A. Jimenez, Carlo Cortés-González, Jairo A. Rubio, María D. Pérez-Montiel, Claudia M. García-Cuellar, Luis A. Herrera, Yesennia Sánchez-Pérez, Felipe Vaca-Paniagua, Salim Barquet-Muñoz, David Cantu-de-Leon, Promita Bose, Diddier Prada
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Background Health disparities have been highlighted among patient with prostate adenocarcinoma (PRAD) due to ethnicity. Mexican men present a more aggressive disease than other patients resulting in less favorable treatment outcome. We aimed
Externí odkaz:
https://doaj.org/article/aa27e0284ff54b798950f20f0227eccc
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
BackgroundPulmonary hypertension (PH) can lead to right ventricular hypertrophy, significantly increasing mortality rates. This study aims to clarify PH-specific metabolites and their impact on genomic and post-translational modifications (PTMs) in c
Externí odkaz:
https://doaj.org/article/868413619ee44182afdbfd4946bb3d67
Autor:
Kyle C. Strickland, Mary K. Nesline, Rebecca A. Previs, Heidi Ko, Maureen Cooper, Jennifer R. Rushton, Zachary D. Wallen, Sarabjot Pabla, Jeffrey M. Conroy, Mark Sausen, Kamal S. Saini, Luca Cantini, Taylor J. Jensen, Brian J. Caveney, Marcia Eisenberg, Eric A. Severson, Shakti Ramkissoon
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Clinical management of non-small cell lung cancer (NSCLC) requires accurate identification of tumor-specific genetic alterations to inform treatment options. Historically, providers have relied on single-gene testing (SGT) for actionable variants due
Externí odkaz:
https://doaj.org/article/5dc5490c081441c7a29a516266cefd56
Autor:
M. Kordes, L. Malgerud, J.-E. Frödin, J. Yachnin, C. Fernandez Moro, S. Ghazi, R. Pozzi Mucelli, N. Kartalis, P. Ghorbani, M. Del Chiaro, V. Wirta, M. Björnstedt, M.G. Liljefors, J.-M. Löhr
Publikováno v:
ESMO Gastrointestinal Oncology, Vol 5, Iss , Pp 100070- (2024)
Background: Pancreatic ductal adenocarcinoma (PDACs) can have actionable genomic alterations at varying frequencies. Harnessing tumour profiling for its treatment is an intricate procedure because the matching of aberrations with therapeutic opportun
Externí odkaz:
https://doaj.org/article/ecd9d7272a8447a19250dec73578fd2f
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/2d14b0aebb9f477ab7e2084fdba6c365
Autor:
Hongzhe Ma, Guoqi Li, Diwei Huo, Yangguang Su, Qing Jin, Yangxu Lu, Yanyan Sun, Denan Zhang, Xiujie Chen
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
This study investigates the impact of Hashimoto’s thyroiditis (HT), an autoimmune disorder, on the papillary thyroid cancer (PTC) microenvironment using a dataset of 140,456 cells from 11 patients. By comparing PTC cases with and without HT, we ide
Externí odkaz:
https://doaj.org/article/98877b2ba6234790ac802b04703738a4
Autor:
Shi, Min 1, 3, 5, 6, Yang, Yingxi 2, 6, Huang, Na 1, 6, Zeng, Dongqiang 1, 3, 5, 6, Mo, Zongchao 2, 6, Wang, Jiao 1, Zhang, Xiaomeng 2, Liu, Ran 2, Wang, Chunlin 1, Rong, Xiaoxiang 1, Wu, Zhenzhen 1, Huang, Qiong 1, Shang, Haixia 2, Tang, Jihong 2, Wang, Zhaojun 1, Cai, Jianan 1, Huang, Genjie 1, Guan, Yijin 1, Guo, Jian 1, Mu, Quanhua 2, Wang, Jiguang 2, 4, ∗, Liao, Wangjun 1, 3, 5, 7, ∗∗
Publikováno v:
In Cell Reports Medicine 17 December 2024 5(12)
Autor:
O’Neill, Kieran 1, 9, 10, Pleasance, Erin 1, 9, Fan, Jeremy 1, 9, Akbari, Vahid 1, 5, 9, Chang, Glenn 1, 9, Dixon, Katherine 1, 9, Csizmok, Veronika 1, 9, MacLennan, Signe 1, 5, 8, 9, Porter, Vanessa 1, 5, 8, Galbraith, Andrew 1, Grisdale, Cameron J. 1, Culibrk, Luka 1, Dupuis, John H. 1, Corbett, Richard 1, Hopkins, James 1, Bowlby, Reanne 1, Pandoh, Pawan 1, Smailus, Duane E. 1, Cheng, Dean 1, Wong, Tina 1, Frey, Connor 2, Shen, Yaoqing 1, Lewis, Eleanor 1, Paulin, Luis F. 3, Sedlazeck, Fritz J. 3, Nelson, Jessica M.T. 1, Chuah, Eric 1, Mungall, Karen L. 1, Moore, Richard A. 1, Coope, Robin 1, Mungall, Andrew J. 1, McConechy, Melissa K. 1, Williamson, Laura M. 1, Schrader, Kasmintan A. 4, 5, Yip, Stephen 6, Marra, Marco A. 1, 5, 8, Laskin, Janessa 7, Jones, Steven J.M. 1, 5, ∗
Publikováno v:
In Cell Genomics 13 November 2024 4(11)
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11103 (2024)
In the rapidly evolving field of multi-omics data analysis, understanding the stability of feature selection is critical for reliable biomarker discovery and clinical applications. This study investigates the stability of feature-selection methods ac
Externí odkaz:
https://doaj.org/article/b0ad09f923e7441f885b57fbf5cd0597