SUPR
Analysis of NGS data for discovery of novel therapeutic targets and prognosis biomarkers of plasma cell diseases.
Dnr:

sens2023521

Type:

NAISS SENS

Principal Investigator:

Evren Alici

Affiliation:

Karolinska Institutet

Start Date:

2023-03-02

End Date:

2025-04-01

Primary Classification:

30202: Hematology

Allocation

  • Castor /proj at UPPMAX: 5000 GiB
  • Castor /proj/nobackup at UPPMAX: 5000 GiB
  • Cygnus /proj/nobackup at UPPMAX: 5000 GiB
  • Cygnus /proj at UPPMAX: 5000 GiB
  • Bianca at UPPMAX: 2 x 1000 core-h/month

Abstract

Multiple myeloma (MM) is a type of white blood cell cancer and an incurable disease. This disease accounts for about 20% of deaths caused by hematological malignancies. It can become resistant to chemotherapies and may result into to deaths. To cure MM, there is a need to discover early biomarkers of bad prognosis of MM and novel therapeutic targets. By using NGS OMICS data, promising targets of bad MM prognosis and novel therapeutic targets can be found. Primerly, we will perform the sequencing on patient material and they will be integrated with already published online data for robust discoveries. For this purpose, we already have access to MM biobank patient material that can be utilized for these studies. Since project involves the patient material and NGS data, we need SNIC SENS resources for the efficient analysis of data.