Comment:  Research studies from the battlefield of the cancer fight. 

                        Dataset of 1000+ tumors of 10 cancer types is now available for molecular insight of how cancers develop.
                        See below for a Summary and Explanation of what these studies are all about.

Press Release:  https://www.nih.gov/news-events/news-releases/nih-unveils-comprehensive-proteogenomic-dataset-help-cancer-researchers-unravel-molecular-mysteries

Quote:

The Studies

“Proteogenomic Data and Resources for Pan-Cancer Analysis(link is external)” appears August 14 in Cancer Cell. “Pan-Cancer Proteogenomics Connects Oncogenic Drivers to Functional States(link is external)” and “Pan-Cancer Analysis of Post-Translational Modifications Reveals Shared Patterns of Protein Regulation(link is external)” appear August 14 in Cell.

Quote from a study:

https://www.cell.com/cancer-cell/fulltext/S1535-6108(23)00219-2

Figure 1  Tumor types and data types of the CPTAC* pan-cancer dataset
                   [*Clinical Proteomic Tumor Analysis Consortium]

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Explanation and Summary of What the above Studies are all about.

https://www.nih.gov/news-events/nih-research-matters/advancing-molecular-insights-into-cancer

Quote:

Advancing molecular insights into cancer

At a Glance

• Scientists built a dataset with genomic, proteomic, and clinical data from more than 1,000 tumors across 10 cancer types.
• The resource can help researchers uncover new molecular insights into how cancers develop and progress.

Quote:

A research team funded by NIH’s National Cancer Institute—the Clinical Proteomic Tumor Analysis Consortium (CPTAC)—set out to build an expansive tumor proteogenomic dataset based on studies of more than 1,000 tumors across 10 cancer types. They described their project and demonstrated its ability to give new insights in a series of papers published in Cell and Cancer Cell on August 14, 2023.

In the first paper, the researchers examined cancer-driving mutations across the different cancer types. They were able to detect distinct patterns in how these mutations impact various aspects of cell function.

Another paper examined how protein modifications, called post-translational modifications, affect cell function. The team identified shared patterns of protein regulation involved in cancer processes across different tumor types. These patterns affect DNA repair, metabolism, and immunity.

A third paper examined patterns of DNA methylation, a type of reversible modification that regulates gene activity. The team identified changes that altered how RNA and proteins were made from crucial cancer-associated genes. They also found methylation patterns associated with various tumor characteristics. These findings, taken together, included many new insights into how cancer develops and suggest potential novel targets for therapies.

“These articles demonstrate the impact of studying both the genetic and protein-related aspects of cancer, and they show how scientists from different fields can work together,” says Dr. Ana I. Robles, Program Director at NCI’s Office of Cancer Clinical Proteomics.