[HTML][HTML] Circulating tumor nucleic acids: biology, release mechanisms, and clinical relevance

P Stejskal, H Goodarzi, J Srovnal, M Hajdúch… - Molecular cancer, 2023 - Springer
Background Despite advances in early detection and therapies, cancer is still one of the
most common causes of death worldwide. Since each tumor is unique, there is a need to …

[HTML][HTML] Resistance to immune checkpoint therapies by tumour-induced T-cell desertification and exclusion: key mechanisms, prognostication and new therapeutic …

MM Wang, SE Coupland, T Aittokallio… - British Journal of …, 2023 - nature.com
Immune checkpoint therapies (ICT) can reinvigorate the effector functions of anti-tumour T
cells, improving cancer patient outcomes. Anti-tumour T cells are initially formed during their …

[HTML][HTML] Crosstalk of disulfidptosis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in bladder cancer based on a …

S Zhao, L Wang, W Ding, B Ye, C Cheng… - Frontiers in …, 2023 - frontiersin.org
Background Bladder cancer (BLCA) is the most common malignancy of the urinary tract. On
the other hand, disulfidptosis, a mechanism of disulfide stress-induced cell death, is closely …

[HTML][HTML] A novel T-cell exhaustion-related feature can accurately predict the prognosis of OC patients

K Yuan, S Zhao, B Ye, Q Wang, Y Liu… - Frontiers in …, 2023 - frontiersin.org
The phenomenon of T Cell exhaustion (TEX) entails a progressive deterioration in the
functionality of T cells within the immune system during prolonged conflicts with chronic …

[HTML][HTML] Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect

Z Yin, C Yao, L Zhang, S Qi - Frontiers in Medicine, 2023 - frontiersin.org
In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer

L Wang, Z Liu, R Liang, W Wang, R Zhu, J Li, Z Xing… - Elife, 2022 - elifesciences.org
As the most aggressive tumor, the outcome of pancreatic cancer (PACA) has not improved
observably over the last decade. Anatomy-based TNM staging does not exactly identify …

[HTML][HTML] Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer

G Chu, X Ji, Y Wang, H Niu - Molecular Therapy-Nucleic Acids, 2023 - cell.com
Muscle-invasive urothelial cancer (MUC), characterized by high aggressiveness and
significant heterogeneity, is currently lacking highly precise individualized treatment options …

[HTML][HTML] Machine learning-based identification of tumor-infiltrating immune cell-associated model with appealing implications in improving prognosis and …

H Chen, W Yang, Z Ji - Frontiers in Immunology, 2023 - frontiersin.org
Background Immune cells are crucial components of the tumor microenvironment (TME) and
regulate cancer cell development. Nevertheless, the clinical implications of immune cell …

Artificial intelligence‐driven consensus gene signatures for improving bladder cancer clinical outcomes identified by multi‐center integration analysis

H Xu, Z Liu, S Weng, Q Dang, X Ge, Y Zhang… - Molecular …, 2022 - Wiley Online Library
To accurately predict the prognosis and further improve the clinical outcomes of bladder
cancer (BLCA), we leveraged large‐scale data to develop and validate a robust signature …

A flexible feature for the long-reigning thermoelectric champion bismuth telluride

T Mori - Nature Nanotechnology, 2023 - nature.com
A flexible feature for the long-reigning thermoelectric champion bismuth telluride | Nature
Nanotechnology Skip to main content Thank you for visiting nature.com. You are using a …