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

E-Poster Display

852P - Exploring the correlation between AXL expression and gene expression molecular subtyping (GEMS) in high grade serous ovarian cancer (HGSOC)

Date

17 Sep 2020

Session

E-Poster Display

Presenters

Natalie Ngoi

Citation

Annals of Oncology (2020) 31 (suppl_4): S551-S589. 10.1016/annonc/annonc276

Authors

N.Y.L. Ngoi1, T.Z. Tan2, N.M. Lee2, D. Micklem3, A. Rayford3, J. Nautiyal3, D.G. Lim4, S. Wong5, L. Johnson3, A. Jackson3, J.B. Lorens3, H. Gabra3, R. Huang6, D.S. Tan1

Author affiliations

  • 1 Haematology-oncology Department, National University Cancer Institute, Singapore (NCIS), 119228 - Singapore/SG
  • 2 N/a, Cancer Science Institute, Singapore, Singapore/SG
  • 3 N/a, Bergenbio Ltd, Bergen/NO
  • 4 Department Of Pathology, National University Hospital, Singapore/SG
  • 5 Haematology-oncology, National University Cancer Institute, Singapore, Singapore/SG
  • 6 School Of Medicine, National Taiwan University, Taipei/TW
More

Resources

Abstract 852P

Background

The C1 molecular subtype of HGSOC is associated with a poor prognosis and exhibits high AXL gene expression. Sensitivity to the AXL kinase inhibitor, bemcentinib (BerGenBio), has been demonstrated in-vitro for C1 subtype HGSOC (Antony et al 2018). Positive AXL expression has been associated with improved progression-free survival (PFS) in lung cancer patients treated with bemcetinib and pembrolizumab (Krebs et al SITC 2019, CT03184571). The prevalence of AXL protein expression and its prognostic value in C1 HGSOC remain undefined.

Methods

82 Archival HGSOC primary tumour samples from 30 patients were prospectively analysed using the Ovarian Tumor Tissue Analysis Consortium NanoString codeset to determine transcriptional ovarian cancer molecular subtypes. AXL immunohistochemistry (IHC) scoring using an AXL-specific antibody was performed to determine AXL protein expression. The highest AXL mRNA expression level across tumour samples from each individual patient (AXL max-mRNA) was correlated with AXL IHC and HGSOC molecular subtype. Clinical data was collected by retrospective medical record review.

Results

AXL IHC was assessable in 29/30(97%) patients. Of these, AXL+ was observed in 19/29(66%). AXL mRNA expression showed positive correlation with AXL protein expression (Spearman rho = 0.3, p = 0.005). High AXL max-mRNA expression was noted in 12/15(63%) of AXL+ cases. Amongst HGSOC subtypes, the C1 subtype was found to be enriched in samples that had both high AXL max-mRNA and AXL+ (Fisher’s exact p=0.03). The C1 subtype was found in 6/19 (31.6%) of cases who were AXL+, and 6/12(50%) of cases with both high AXL max-mRNA and AXL+. The combination of both high AXL max-mRNA and AXL+ was prognostic for first-line PFS (HR 3.7, p=0.006), and overall survival (HR 4.9, p=0.04).

Conclusions

This is the first study to demonstrate a correlation between AXL IHC, AXL mRNA expression and C1 HGSOC. The AXL IHC has potential predictive and prognostic value, and its utility as a predictive biomarker for C1 HGSOC warrants further exploration in AXL targeted trials.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

BerGenBio, NMRC/CTGIITE/0004/2016.

Disclosure

N.Y.L. Ngoi: Travel/Accommodation/Expenses: AstraZeneca; Honoraria (self): Johnson & Johnson. D. Micklem, J. Nautiyal, A. Jackson, J.B. Lorens, H. Gabra: Leadership role, Full/Part-time employment: BerGenbio. L. Johnson, A. Rayford: Full/Part-time employment: BerGenBio. D.S. Tan: Honoraria (self), Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: AstraZeneca; Honoraria (self), Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses: Bayer; Honoraria (self): Foundation Medicine; Honoraria (self): Janssen; Honoraria (self), Advisory/Consultancy, Travel/Accommodation/Expenses: Merck; Honoraria (self), Advisory/Consultancy, Speaker Bureau/Expert testimony, Travel/Accommodation/Expenses: Roche; Honoraria (self): Tessa Therapeutics; Research grant/Funding (institution): Karyopharm Therapeutics; Travel/Accommodation/Expenses: Novartis. All other 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.