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OCCPR: A Leader in Cancer Proteomics and Proteogenomics

The mission of the NCI’s Office of Cancer Clinical Proteomics Research (OCCPR) is to improve prevention, early detection, diagnosis, and treatment of cancer by enhancing the understanding of the molecular mechanisms of cancer, advance proteome and proteogenome science and technology development through community resources (data and reagent), and accelerate the translation of molecular findings into the clinic. This is achieved through OCCPR-supported programs such as the Clinical Proteomic Tumor Analysis Consortium (CPTAC), partnerships with Federal agencies, and collaborations with international organizations/institutions.

The International Cancer Proteogenome Consortium

International Cancer Proteogenome Consortium

Learn about ICPC and how the consortium is breaking down silos to advance proteogenomic cancer research worldwide.

Machine Learning-Derived Metrics Enable Computational Method Comparison in Phosphoproteomics Research

Protein phosphorylation dysregulation has been recognized as a key feature of several diseases, especially cancer. In recent years, phosphoproteomic research has revealed novel, effective biomarkers and drug targets for disease prognosis and treatment. Tandem mass spectrometry (MS/MS)-based...

Proteogenomics Provides New Insights into Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (iCCA) is the second-most common primary liver tumor and has a low 5-year survival rate of 15%. Treatment of iCCA is particularly difficult due to its markedly aggressive progression, late symptom presentation, and early metastasis. In order to improve...

CPTAC Researchers Identify CPT1A as a Potential Therapeutic Target in Platinum-Refractory, High-Grade Serous Ovarian Cancer Patients

At present, typical treatment for patients with high-grade serous ovarian cancer (HGSOC) is surgical debulking coupled with platinum-based chemotherapy. Despite the majority of HGSOCs being sensitive to platinum-based therapy initially, most become resistant over the course of treatment. The...

CPTAC Researchers Detect Fraud in Large-Scale Molecular Omics Datasets with Exceptional Accuracy Using Machine Learning

Modern computational tools for data collection and analysis have revolutionized how scientists are able to research and respond to problems. While the growing number of large, public data sets is a great boon for researchers, the accessibility of these resources can introduce quality and security...

CPTAC Researchers Develop a Novel, Targeted Mass Spectrometry Assay Panel that Enables Quantification of Immunomodulatory Proteins

Immunotherapies are revolutionizing modern cancer care, but at present, many technologies do not accurately quantify the myriad soluble proteins in the tumor microenvironment which impact immunity. This, in turn, contributes to the pervasiveness of patient resistance and immune-related adverse events...

The Human Melanoma Proteome Atlas: Proteogenomic Researchers Map Protein Expression in Malignant Melanoma

Earlier this year, a team from the European Cancer Moonshot Lund Center at Lund University published proteomics and corresponding proteogenomic integration studies for malignant melanomas (MM). The twin publications represent an effort to map protein...

CPTAC Researchers Produce a Highly Annotated, Publicly Accessible Database of Genes Associated with Platinum Resistance in Cancer

According to U.S. National Cancer Institute estimates, approximately 10–20% of all cancer patients will receive a platinum drug over the course of their treatment. Cisplatin, the first platinum-based anti-cancer therapy, was approved by the Food and Drug Administration (FDA) for...

Memorandum of Understanding signed by NCI, FDA and HRSA to bring cancer diagnostic devices closer to patients, particularly members of medically underserved and geographically isolated communities

On Friday, September 17, 2021, leadership from the National Cancer Institute (NCI), Food and Drug Administration (FDA), and Health Resources and Services Administration (HRSA) signed a Memorandum of Understanding (MOU) to support solutions for early cancer detection and diagnosis to improve patient...

Machine Learning Predicts Molecular Features of Endometrial Cancer with Exceptionally High Accuracy

The CPTAC research group led by Dr. David Fenyö at NYU Langone Medical Center has demonstrated the feasibility of a machine learning image processing tool designed to assist pathologists classifying endometrial cancer. Their customized multi-resolution deep convolutional neural network (CNN) model...

Proteogenomics Provides New Insights into Pancreatic Ductal Adenocarcinoma

Despite advances in the efficacy and specificity of cancer treatments over the last decade, pancreatic cancer remains one of the leading causes of death worldwide. The most common type of pancreatic tumor, Pancreatic Ductal Adenocarcinoma (PDAC), has distinctly poor patient outcomes due to its...