Pan-cancer profiling reveals how MET mutations influence response to immune checkpoint blockade, offering a potential marker for treatment selection.
#MET #Immunotherapy #PanCancer #Biomarker
www.sciencedirect.com/science/arti...

Scientists present PROGPATH, a unified #pancancer prognosis prediction model that integrates #histopathological image features with #ClinicalData using #DeepLearning, achieving superior performance across diverse #cancers, stages and treatments.

#STTT: doi.org/10.1038/s413...

Cristina Ferrone, MD, of Massachusetts General Hospital leads Alliance A021806 studying whether chemotherapy before and after surgery is better than just after surgery for pancreas cancer. Learn more: https://bit.ly/Alliance-A021806 #NCI #NCTN #pcam #PanCancer #PancSM #PancreaticCancerAwarenessMonth

Pancancer outcome prediction via a unified weakly supervised deep learning model - Signal Transduction and Targeted Therapy Signal Transduction and Targeted Therapy - Pancancer outcome prediction via a unified weakly supervised deep learning model

PROGPATH, a unified #DeepLearningModel integrating #Histopathological images and clinical data for #pancancer #prognosis prediction, demonstrates superior accuracy, robustness, and interpretability across diverse #cancer types. #medsky

#STTT #OpenAccess:

LRPPRC is emerging as a pan-cancer biomarker linked to poor prognosis, immune evasion & drug resistance. #CancerBiomarkers #LRPPRC #PanCancer #PrecisionMedicine #Immunotherapy

Check the protein expression of any gene in 999 tumor samples. Only in R2 r2platform.com/TPCPA/

#proteome #pancancer

www.nature.com/articles/s41...

#LOY #CancerGenomics #Immunology #CancerResearch #PrecisionOncology #Epigenetics #TumorMicroenvironment #MenHealth #Oncology #PanCancer #Tcells #PBMCs #Genetics

Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence - Nature Cancer Keyl et al. present an explainable artificial intelligence model-based real-world data analysis from over 15,000 patients across 38 cancer types, identified key prognostic marker interactions, and con...

📢Check out this Research Article by Jens Kleesiek, Martin Schuler, Frederick Klauschen and colleagues @naturecancer.bsky.social

'Decoding #pancancer treatment outcomes using #multimodal real-world data and explainable #artificialintelligence'

🔗 www.nature.com/articles/s43...

Towards routine proteome profiling of FFPE tissue: insights from a 1,220-case pan-cancer study | The EMBO Journal imageimageFormalin fixed paraffin embedded (FFPE) patient tumor specimens are readily accessible and established gold standard for cancer diagnostics in pathology laboratories. To start building a pan...

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📄 Read the full paper: doi.org/10.1038/s443...
🖥️ Explore our Shiny app to analyze protein expression across cancers!
panffpe-explorer.kusterlab.org/main_ffpepan...
#CancerResearch #Proteomics #PanCancer #FFPE #Bioinformatics

Pan-Cancer Analysis of PTBP1 to Identify it as a Prognostic and Immunological Biomarker - Yan Zhao, Yanyang Wang, Qiuqiu Xia, Huanhuan He, Qiming Mao, Huaize Dong, Lu Zhu, Zongyue Hu, Jiyue Xia, Zijin... Objectives Human cancer is considered to be an important cause of death worldwide. Polypyrimidine tract binding protein 1 (PTBP1) is emerging as a powerful pro-...

PTBP1 emerges as a #PanCancer #Biomarker, linking high expression to poor prognosis and immune evasion. By modulating Tregs and CD8+ T cells, PTBP1 shapes the tumor microenvironment and prognosis. Potential for targeted therapy unveiled. #CancerBiology
journals.sagepub.com/doi/10.1177/...