The role of KPNA2 mutations in breast cancer prognosis: a survey of publicly available databases

Layla Alnoumas, Lisa van den Driest, Alison Lannigan, Caroline H Johnson, Nicholas JW Rattray, Zahra Rattray

Research output: Working paperWorking Paper/Preprint

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Abstract

Breast cancer, comprising of several sub-phenotypes, is a leading cause of female cancer-related mortality in the UK and accounts for 15% of all cancer cases. Chemoresistant sub phenotypes of breast cancer remain a particular challenge. However, the rapidly-growing availability of clinical datasets, presents the scope to underpin a data driven precision medicine-based approach exploring new targets for diagnostic and therapeutic interventions. We report a survey of several publicly available databases probing the expression and prognostic role of Karyopherin-2 alpha (KPNA2) in breast cancer prognosis. Aberrant KPNA2 overexpression is directly correlated with aggressive tumour phenotypes and poor patient survival outcomes. We examined the existing information available on a range of commonly occurring mutations of KPNA2 and their correlation with patient survival.

Our analysis of clinical gene expression datasets show that KPNA2 is frequently amplified in breast cancer, with differences in expression levels observed as a function of patient age and clinicopathologic parameters. We also found that aberrant KPNA2 overexpression is directly correlated with poor patient prognosis, warranting further investigation of KPNA2 as an actionable target for patient stratification or the design of novel chemotherapy agents.

In the era of big data, the wealth of datasets available in the public domain can be used to underpin proof of concept studies evaluating the biomolecular pathways implicated in chemotherapy resistance in breast cancer.
Original languageEnglish
Place of PublicationNew York
Pages1-17
Number of pages17
DOIs
Publication statusPublished - 14 Nov 2021

Keywords

  • breast cancer
  • breast
  • biomarker
  • karyopherin
  • epidemiology

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