cBioPortal Newsletter June 2026

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Ritika Kundra

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Jun 26, 2026, 11:06:30 AM (12 days ago) Jun 26

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June 2026

Welcome to the June 2026 edition of the cBioPortal Newsletter!

Summer is here, and we’re excited to share highlights from a busy spring, including a recap of AACR 2026, platform release, new data additions, and the kickoff of this year’s Google Summer of Code.

cBioPortal at AACR 2026

It was wonderful to connect with so many of you at the AACR Annual Meeting 2026 in San Diego, April 17-22. Our team enjoyed the conversations at Booth 2939 from feature requests and workflow questions to first-time users discovering the platform.

We also presented and co-presented several posters spanning cancer genomics, predictive models, and precision oncology, including work on cBioPortal, Genome Nexus & reVUE, and OncoKB.

Platform Update: cBioPortal v7.0.0 Release

We are thrilled to announce the release of cBioPortal v7.0.0. This major release introduces several key enhancements:

Transition away from MySQL: ClickHouse is now the primary database for cBioPortal.
Seed database reorganization: The seed database has been restructured and migrated to ensure full ClickHouse optimization.

The transition to ClickHouse brings significant performance improvements, especially for large datasets. The public cbioportal.org has been running with ClickHouse for several months, and with this release, local installations can now adopt these improvements. For detailed instructions on transitioning your current instance from v6.x.x, please consult our Migration Guide.

Data Updates

DNA methylation from 450K array and imaging data are now available across all TCGA PanCancer Atlas studies, joining existing data to enable richer multi-omic analyses. DNA methylation data appear under the Charts tab on the Study Exploration page; for an example involving imaging, see the BRCA TCGA PanCancer Atlas study for an example.

Feature Highlight

Feature Release: Clonality & Cancer Cell Fraction in the Plots Tab

Clonality and Cancer Cell Fraction (CCF) are now available as data options in the Plots tab, letting you visualize clonality across samples.

How to explore

From any study with clonality data loaded, navigate to the Plots tab and select Clonality or Cancer Cell Fraction (CCF) from the data type menu. Combine with gene-, sample-, or patient-level variables on the other axis to build the comparison you need..

Example: PIK3CA mutations in breast and lung cancer cases in the MSK-IMPACT 50K Clinical Sequencing Cohort (MSK, Cancer Cell 2026).

Figure 1. Plots-tab view of PIK3CA clonality/CCF across breast and lung samples in the MSK-IMPACT 50K cohort.

Learn More

To learn more about cBioPortal, review our documentation, which includes FAQs, webinars, and tutorials. If you have questions, please do not hesitate to reach out to us at cbiop...@googlegroups.com.

Stay tuned for more updates, and thank you for your continued support in advancing cancer genomics research with cBioPortal.