English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Glioblastoma multiform carries a dismal prognosis with poor response to goldstandard treatment. Innovative data analysis methods have been developed tocharacterize tumor genomic expression with histologic features. In a clinicalsetting, biopsy selection methods may be constrained by time and financialburden to the patient. Thus, we investigate the impact biopsy selection has oncorrelation between prognostic and histologic features in 35 patients with GBM.We compared methods using limited volumes, moderate volumes, and enblock tumorvolumes. Additionally, we investigated the impact of random versus strategicmethods for limited and moderate volume biopsies. Finally, we comparedcorrelation results by selecting one to five small biopsy. We observed a widerange in correlation significance across selection methods. These findings mayaid clinical management of GBM and direct better biopsy selection necessary forthe development and deployment of targeted therapies.

Variation in correlation between prognosis and histologic feature based on biopsy selection