The CPTAC PanCan datasets, containing collated and normalized proteomics and transcriptomics data for samples from 9 CPTAC studies, were used for this analysis (Data ref: Li et al, 2023) (Li et al, ...

Lung cancer can co-opt genes that normally help a fetus develop and evade the mother's immune system. And while these pregnancy-specific glycoproteins (PSGs) can get activated in the cancers of ...

"Our study flips the script by showing that inherited DNA changes can influence how genes are expressed and how proteins-key drivers of cancer behavior-are produced and modified in tumors. In ...

A new multicenter study by researchers at the Icahn School of Medicine at Mount Sinai, in collaboration with the Clinical ...

A new international study led by researchers at the Icahn School of Medicine at Mount Sinai, in collaboration with the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC), ...

Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated ...

ATPase family AAA domain-containing protein 2 (ATAD2) is significantly up-regulated in many cancer types and contributes to poor patient outcomes. ATAD2 exhibits a multidomain architecture comprising ...

File c:\Users\shang\Documents\cptac\venv\Lib\site-packages\cptac\cancers\cancer.py:778, in Cancer._get_omics_cols (self, omics_df_name, source, genes, tissue_type) ...

Study reveals new opportunities to develop cancer treatments Date: June 24, 2024 Source: Baylor College of Medicine Summary: Researchers uncovered new potential therapeutic targets for cancer and ...

We took the high-grade serous ovarian cancer (HGSOC) datasets from the CPTAC as a case study to present a workflow to analyse large-scale phosphoproteomics data for cancer subtyping and to nominate ...