A new methodological approach, developed by researchers from SciLifeLab, could help improve breast cancer diagnostics and provide insight in the hunt for new therapeutic targets. The study was published in EBioMedicine.

Today, breast cancer analysis relies on homogenized tissue samples, something that does not provide accurate information about signaling mechanisms or cellular interactions due to the complex heterogeneity of tumors.  

In a recent study, led by Mats Nilsson (SciLifeLab/Stockholm University), researchers mapped ninety-one genes, including prognostic and predictive marker profiles, in different types of breast cancer tissue using a new analytical approach involving in situ sequencing (ISS).

The new approach makes it possible to create more accurate gene expression profiles that could be assembled into a molecular-morphological map, called OncoMap, for each of the different tumor tissues.

The OncoMaps give insight into tumor progression and can help refine tumor diagnosis as well as identifying new therapeutic targets.

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Ok!Read More
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.

Non-necessary

Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.