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

ePoster Display

87P - Clinical development of a predictive biomarker with 58 tumor genes for dovitinib treatment of solid tumors

Date

16 Sep 2021

Session

ePoster Display

Topics

Tumour Site

Renal Cell Cancer

Presenters

Roberto Pili

Citation

Annals of Oncology (2021) 32 (suppl_5): S382-S406. 10.1016/annonc/annonc686

Authors

R. Pili1, S. Knudsen2, K. Kazempour3, H. Mekkonen3, M. FOEGH4

Author affiliations

  • 1 Medicine, Div Oncology/hematology, Jacobs School of Medicine and Biomedical Sciences, 14203 - Buffalo/US
  • 2 Research & Development, Allarity Therapeutics, 2970 - Horsholm/DK
  • 3 Clinical Research, Amarex Clinical Research, 20874 - Germantown/US
  • 4 Clinical Research & Development, Allarity Therapeutics, 02139 - Cambridge/US

Resources

Login to get immediate access to this content.

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

Abstract 87P

Background

Dovitinib is a tyrosine kinase inhibitor that inhibits VEGFR1-3, PDGFR, FGFR1-3, c-KIT, FLT3 and topoisomerase 1 and 2. Dovitinib is in development with a tumor agnostic biomarker based on 58 genes associated with sensitivity and resistance to dovitinib. The most advanced development is in renal cell carcinoma (RCC), which is presented here.

Methods

A multinational phase 3 study enrolled 570 patients treated with either dovitinib or sorafenib in a ≥3rd line setting. Archival tumor samples were obtained from consenting patients to determine the predictive score in a prospective/retrospective design (pre-specified statistical analysis plan). The biomarker algorithm combines the expression of 58 mRNAs relevant to the in vitro sensitivity or resistance of dovitinib that include genes associated with FGFR, PDGF, VEGF, PI3K/Akt/mTOR and topoisomerase pathways as well as ABC drug transport and provides a likelihood score between 0-100%. A cut-point of the median of an RCC reference population was applied to make all statistical analysis categorical. A DRP Dovitinib score of > 67% was also applied.

Results

188 patients consented in the dovitinib group, of these 135 passed established biomarker quality criteria. The DRP-dovitinib divided the patients into two groups, sensitive (n=49, DRP score >50%) or resistant (n=86, DRP score ≤ 50%) to dovitinib. The DRP sensitive population was compared to the unselected sorafenib group (N=286). The HR for the median PFS and OS was 0.71 and 0.69, respectively (Table). The median PFS using a DRP-Dovitinib score of 67%, is 5.67 M (95% CI 1.87,20.34) HR=0.42 (95% CI 0.21,0.86) (p=0.0174) and the median OS is 20.6 M (95% CI; 9.53, 35.58) in the DRP selected group compared to sorafenib unselected (p=0.08) HR=0.55 (95% CI 0.28,1.08). Table: 87P

Efficacy Parameter Dovitinib Dovitinib Score >50% N=49 Sorafenib Unselected N=286 p-value HR
Median PFS, Months (95% CI) 3.75 (3.68, 5.39) 3.61 (3.48,3.71) 0.0572 0.71 (0.51,1.01)
Median OS, Months (95% CI) 15.0 (12.94, 26.25) 11.2 (9.66,13.37) 0.04 0.69 (0.48,0.99)

Conclusions

The DRP-Dovitinib can be used as a predictive biomarker and thus as a tool for the physician in identifying advanced RCC patients most likely to experiencing clinical benefit from dovitinib treatment.

Clinical trial identification

NCT01223027.

Editorial acknowledgement

Legal entity responsible for the study

Allarity Therapeutics.

Funding

Allarity Therapeutics.

Disclosure

R. Pili: Other, Personal, Advisory Role, Consultant: Amarex Clinical Research. S. Knudsen: Financial Interests, Personal, Officer: Allarity. K. Kazempour: Financial Interests, Personal, Officer: Amarex Clinical Resarch. H. Mekkonen: Other, Personal, Full or part-time Employment: Amarex Clinical Research. M. Foegh: Financial Interests, Personal, Officer: Allarity.

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.