Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display session 3

3129 - MPS1 and PLK1 as new therapy targets in TP53 mutated solid tumors


30 Sep 2019


Poster Display session 3


Translational Research

Tumour Site


Balazs Gyorffy


Annals of Oncology (2019) 30 (suppl_5): v760-v796. 10.1093/annonc/mdz268


B. Gyorffy1, A. Nagy2, A. Osz2

Author affiliations

  • 1 2nd Department Of Pediatrics, Semmelweis University, 1085 - Budapest/HU
  • 2 2nd Department Of Pediatrics, Semmelweis University, Budapest/HU


Login to access the resources on OncologyPRO.

If you do not have an ESMO account, please create one for free.

Abstract 3129


The tumor suppressor TP53 is the most frequently mutated gene in solid tumors. Although TP53 decides cell fate and governs initiation of apoptosis, inhibitors targeting mutant TP53 did not yet reached clinical use. Our goal was to identify new potential therapeutic targets in TP53 mutant solid tumors by in silico analysis of multiple large, independent next-generation sequencing and gene chip datasets.


First, gene expression and mutation data from multiple solid tumors were collected from TCGA and METABRIC databases. Samples were separated based on TP53 mutation status, mutational type and tumor type to identify targetable genes. Differential gene expression was compared using Mann-Whitney test between the mutated (disruptive mutations only) and wild type patient cohorts across all genes. Then, the prognostic value of identified genes was validated in a gene chip-based dataset obtained from the GEO repository. Survival analysis was performed using Cox proportional hazards regression. Significance threshold was set at p < 0.01. Finally, False Discovery Rate was computed to correct for multiple hypothesis testing.


The TCGA dataset include 9,720 patients (21 different cancer types), the Metabric dataset (breast cancer) 1,399 patients, and the GEO dataset (breast, lung, and brain tumors) 7,386 patients. Only genes with higher expression in the TP53 mutant cohort were selected and the list of the top targets was further filtered to include only druggable kinases. The best performing kinases include MPS1 (p = 2.9E-58, FC = 2.82), PLK1 (p = 2.6E-55, FC = 2.55), MELK (p = 5.2E-54, FC = 2.81), and AURKB (p = 2E-53, FC = 3.23). Each of these kinases had a significant prognostic power as well. Of the top 2 (MPS1 and PLK1), both have multiple inhibitors available (for other indications) with PLK1 closest to the clinical use.


Our results suggest that MPS1 (monopolar spindle 1 kinase) and PLK1 (polo like kinase 1) kinases are the strongest druggable targets in TP53 mutant solid tumors.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Semmelweis University.


National Research, Development and Innovation Office, Hungary.


All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.