News and Announcements

Riding the wave of the future requires scientists to move away from silo-thinking to an inclusive and collaborative mind set. By leveraging the power of crowdsourcing, precisionFDA and NCI-CPTAC teamed up to launch the Multi-omics Enabled Sample Mislabeling Correction Big Data Challenge. Over 500 participants from 20 countries joined the call to develop computational algorithms that would identify multi-omics samples that were switched prior to or during data processing and analysis. By looking at genomic, transcriptomic and proteomic datasets mined from a several single-subject cases, part...

Is DNA sequencing enough to recommend personalized treatments for cancer patients? In a article published in Nature Reviews Clinical Oncology, CPTAC investigators and colleagues from the Fred Hutch, Baylor College of Medicine, and University of Washington Medicine make the case for proteogenomics - analysis of the genomic and proteomic changes in cancer tumors.

"Big data" is a term to describe data sets so large or complex that traditional data processing strategies are inadequate. As continued advancements in biomedical technologies generate an increasing amount of patient data, administration of patient-centered care will depend, in part, on the ability to harness relevant insights from this data.

It is no coincidence that one cellular process is mentioned time and time again in discussions of cell-signaling pathways in cancer - that is phosphorylation. Since its discovery, it has come to be recognized as a global regulator of many intracellular processes such as growth, proliferation, and cell division.

University of Michigan Rogel Cancer Center researchers Arul Chinnaiyan, Alexey Nesvizhskii and colleagues have recently teamed up to catalog circular RNA (circRNA) in multiple cancers and conducted initial research that suggests these stable structures could serve as cancer markers in blood or urine.

Built on a continuous partnership between National Cancer Institute’s (NCI’s) Cancer Imaging Program and the Clinical Proteomic Tumor Analysis Consortium (CPTAC), NCI’s The Cancer Imaging Archive (TCIA) releases a newly improved CPTAC histopathology interface. The interface hosts histopathology imaging generated by CPTAC, with matched radiology imaging in TCIA. Significant performance improvements have been made to the platform in response to feedback from the community, providing enhanced functionalities to query pathology report details, download, share and view slide images from approved...

The incidence of early-onset gastric cancer (EOGC), a type of cancer that occurs in younger patients and found throughout the stomach, is markedly elevated in the Republic of Korea. As a country with the highest rates worldwide in both sexes, there is a need to identify molecular signatures that can be used to diagnose and treat EOGC.

The NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge sub-challenge 2 closes on December 19 at 07:59:59 UTC. Just four days left to submit your computational algorithms. Remember, if you did not participate in sub-challenge 1, you can still participate in sub-challenge 2. Thank you for your participation and please continue to post any questions or concerns on the discussion forum.

The NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge sub-challenge 2 closes on December 19 at 07:59:59 UTC. Just two weeks left to submit your compuational algorithms. Remember, if you did not participate in sub-challenge 1, you can still participate in sub-challenge 2.