NEW YORK (GenomeWeb) – A statistical analysis comparing the prognostic power of six signatures found that all of them are good predictors of breast cancer recurrence 10 years after diagnosis and identify node-negative patients at low risk of disease recurrence, but some signatures may be better than others in the node-positive population and in assessing recurrence risk during the late follow-up period.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

GenomeWeb Premium gives you:
✔ Full site access
✔ Interest-based email alerts
✔ Access to archives

Never miss another important industry story.

Try GenomeWeb Premium now.

Already a GenomeWeb Premium member? Login Now.
Or, See if your institution qualifies for premium access.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

A federal grand jury has indicted Elizabeth Holmes and Ramesh Balwani for alleged wire fraud in conjunction with their activities at Theranos.

Nature News reports that some developers are nervous about GitHub's acquisition by Microsoft.

A direct-to-consumer genetic testing company sent out used spit kits, CNBC reports.

In PLOS this week: comparison of commercial bisulfite kits, new method to predict essential proteins, and more

Jun
21
Sponsored by
Roche

This webinar will provide a detailed look at how a genomics lab implemented next-generation sequencing (NGS) liquid biopsy assays into its in-house clinical research program.

Jun
26
Sponsored by
Lexogen

This webinar outlines a study that sought to characterize the landscape of alternative polyadenylation (APA) in the lung cancer transcriptome in order to gain insight into the role of APA in cancer progression.

Jul
10
Sponsored by
Qiagen

This webinar offers a look at how an advanced genetics laboratory implemented and validated a commercial bioinformatics system to help scale its operations.

Jul
11
Sponsored by
Genomenon

This webinar will discuss an approach for automating variant classification based on the American College of Medical Genetics and Genomics guidelines.