Identification of Prognosis-Related Molecular Subgroups and Construction of a Prognostic Prediction Model Using Immune-Related Genes in Pancreatic Cancer.
Embeddings from protein language models predict conservation and variant effects.
Human Genetics
Marquet, Céline C; Heinzinger, Michael M; Olenyi, Tobias T; Dallago, Christian C; Erckert, Kyra K; Bernhofer, Michael M; Nechaev, Dmitrii D; Rost, Burkhard B
WDR5-H3K4me3 epigenetic axis regulates OPN expression to compensate PD-L1 function to promote pancreatic cancer immune escape.
Journal For Immunotherapy Of Cancer
Lu, Chunwan C; Liu, Zhuoqi Z; Klement, John D JD; Yang, Dafeng D; Merting, Alyssa D AD; Poschel, Dakota D; Albers, Thomas T; Waller, Jennifer L JL; Shi, Huidong H; Liu, Kebin K
Chromosomal copy number heterogeneity predicts survival rates across cancers.
Nature Communications
van Dijk, Erik E; van den Bosch, Tom T; Lenos, Kristiaan J KJ; El Makrini, Khalid K; Nijman, Lisanne E LE; van Essen, Hendrik F B HFB; Lansu, Nico N; Boekhout, Michiel M; Hageman, Joris H JH; Fitzgerald, Rebecca C RC; Punt, Cornelis J A CJA; Tuynman, Jurriaan B JB; Snippert, Hugo J G HJG; Kops, Geert J P L GJPL; Medema, Jan Paul JP; Ylstra, Bauke B; Vermeulen, Louis L; Miedema, Daniël M DM
A Prognostic Prediction Model Developed Based on Four CpG Sites and Weighted Correlation Network Analysis Identified DNAJB1 as a Novel Biomarker for Pancreatic Cancer.
Differential secretome of pancreatic cancer cells in serum-containing conditioned medium reveals CCT8 as a new biomarker of pancreatic cancer invasion and metastasis.
High Expression of FAM83B Predicts Poor Prognosis in Patients with Pancreatic Ductal Adenocarcinoma and Correlates with Cell Cycle and Cell Proliferation.
Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate.
Elife
Juul, Malene M; Bertl, Johanna J; Guo, Qianyun Q; Nielsen, Morten Muhlig MM; Świtnicki, Michał M; Hornshøj, Henrik H; Madsen, Tobias T; Hobolth, Asger A; Pedersen, Jakob Skou JS