Single-cell analysis and spatial transcriptomics reveal insights into prostate cancer relapse

Science AAAS, 10x Genomics
3/23/22, 3:00 PM
America/New York GMT -4 summer

Description

Prostate cancer is heterogeneous, and patients would benefit from methods that stratify those who are likely to respond to systemic therapy and those who are not. Single-cell assays for transposase-accessible chromatin (ATAC-seq) and RNA sequencing can model early treatment response and resistance to enzalutamide. This approach helps identify both preexisting and treatment-persistent cell subpopulations that possess regenerative potential when subjected to treatment. Transcriptional profiles characteristic of these persistent cells can then support stratification of patients according to treatment response and the likelihood of relapse.

 

In this webinar, we provide a molecular perspective on the emergence of resistance to androgen-receptor (AR) targeted treatment in single cells to better predict treatment outcomes. This application of single-cell methods with high analytical resolution in preclinical models may powerfully inform clinical decision making by revealing currently unrecognized molecular predictors of treatment response.

During the webinar, viewers will:

  • Gain insight into preexisting and persistent cells associated with prostate cancer relapse
  • Discover the potential of combining single-cell ATAC-seq with spatial transcriptomics to uncover deeper insights into prostate cancer biology
  • Be able to ask questions during the live broadcast.
Previous registration necessary?

NO

YES
Simultaneous translation ?

NO

YES
Will it be recorded?
NO
YES

Jackie Oberst

Single-cell analysis and spatial transcriptomics reveal insights into prostate cancer relapse

Inglês

 

Speakers

Alfonso Urbanucci