Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness

Y Li, TSM Lih, SM Dhanasekaran, R Mannan, L Chen… - Cancer Cell, 2023 - cell.com
Clear cell renal cell carcinomas (ccRCCs) represent∼ 75% of RCC cases and account for
most RCC-associated deaths. Inter-and intratumoral heterogeneity (ITH) results in varying …

[HTML][HTML] Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer

S Chowdhury, JJ Kennedy, RG Ivey, OD Murillo… - Cell, 2023 - cell.com
To improve the understanding of chemo-refractory high-grade serous ovarian cancers
(HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) …

[HTML][HTML] Signaling-induced systematic repression of miRNAs uncovers cancer vulnerabilities and targeted therapy sensitivity

AA Wurm, S Brilloff, S Kolovich, S Schäfer… - Cell Reports …, 2023 - cell.com
Targeted therapies are effective in treating cancer, but success depends on identifying
cancer vulnerabilities. In our study, we utilize small RNA sequencing to examine the impact …

Unraveling the Drivers of Tumorigenesis in the Context of Evolution: Theoretical Models and Bioinformatics Tools

X Zhu, W Zhao, Z Zhou, X Gu - Journal of Molecular Evolution, 2023 - Springer
Cancer originates from somatic cells that have accumulated mutations. These mutations
alter the phenotype of the cells, allowing them to escape homeostatic regulation that …

Plakophilin 3 facilitates G1/S phase transition and enhances proliferation by capturing RB protein in the cytoplasm and promoting EGFR signaling

L Müller, R Keil, M Hatzfeld - Cell Reports, 2023 - cell.com
Summary Plakophilin 3 (PKP3) is a component of desmosomes and is frequently
overexpressed in cancer. Using keratinocytes either lacking or overexpressing PKP3, we …

GLIMS: A two-stage gradual-learning method for cancer genes prediction using multi-omics data and co-splicing network

R Niu, Y Guo, X Shang - Iscience, 2024 - cell.com
Identifying cancer genes is vital for cancer diagnosis and treatment. However, because of
the complexity of cancer occurrence and limited cancer genes knowledge, it is hard to …

Hierarchical graph neural network with subgraph perturbations for key gene cluster discovery in cancer staging

W Hou, Y Wang, Z Zhao, Y Cong, W Pang… - Complex & Intelligent …, 2024 - Springer
Analyzing highly individual-specific genomic data to understand genetic interactions in
cancer development is still challenging, with significant implications for the discovery of …

[PDF][PDF] Please let us know how this document benefits you.

Y Li, JC Fay - gastroenterology and hepatology, 2016 - digitalcommons.wustl.edu
By using metaproteomics of the human colonic mucosal surface, we found evidence for a
proteomic ecology of millimeter-scale protein networks distinguished by functional …

[引用][C] Characteristics of certain genetical and biological properties of carcinogenesis in the development of inflammatory breast cancer with type 2 diabetes mellitus …

MI Sheremet, BI Yuriivna, MO Volodimirovich… - Romanian Journal of …, 2023