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ePoster Display

686P - Angiogenesis related blood biomarkers of response to checkpoint inhibitors (IO) and VEGFR-TKI in metastatic renal cell carcinoma (mRCC): Results from the BIONIKK prospective trial

Date

16 Sep 2021

Session

ePoster Display

Topics

Immunotherapy;  Pathology/Molecular Biology

Tumour Site

Renal Cell Cancer

Presenters

Laetitia Mauge

Citation

Annals of Oncology (2021) 32 (suppl_5): S678-S724. 10.1016/annonc/annonc675

Authors

L. Mauge1, I. Galy-Fauroux2, R. Elaidi3, L. Ben Dhia4, S. Bertil4, M. Bennamoun5, C.M. Chevreau6, D. Borchiellini7, D. Pannier8, D. Maillet9, M. Gross-Goupil10, C. Tournigand11, B. Laguerre12, P. Barthelemy13, F. Joly14, G. Gravis15, J. Zucman-Rossi16, S.M. Oudard17, Y. Vano18, D. Helley1

Author affiliations

  • 1 Biological Haematology, Hôpital Européen Georges Pompidou, APHP.Centre – Université de Paris, Paris, France; Paris Cardiovascular Research Center, INSERM, Université de Paris, 75015 - Paris/FR
  • 2 Paris Cardiovascular Research Center, INSERM, Université de Paris, Paris, France, 75015 - Paris/FR
  • 3 Medical Oncology, ARTIC -Association pour la Recherche de Thérapeutiques Innovantes en Cancérologie ; Hôpital Européen Georges Pompidou, APHP.Centre –Université de Paris, 75015 - PARIS/FR
  • 4 Biological Haematology, Hôpital Européen Georges Pompidou, APHP.Centre – Université de Paris, 75015 - Paris/FR
  • 5 Medical Oncology, Institute Mutualiste Montsouris, 75014 - Paris/FR
  • 6 Medical Oncology, Institut Universitaire du Cancer -Toulouse- Oncopole, 31059 - Toulouse/FR
  • 7 Medical Oncology, Centre Antoine Lacassagne, Université Côte d’Azur, 06189 - Nice/FR
  • 8 Medical Oncology, Centre Oscar Lambret, 59020 - Lille/FR
  • 9 Medical Oncology, Centre Hospitalier Lyon Sud, 69495 - Pierre Benite/FR
  • 10 Medical Oncology, Centre Hospitalier Universitaire de Bordeaux, 33075 - Bordeaux/FR
  • 11 Medical Oncology, Centre hospitalier universitaire Henri-Mondor, 94010 - Créteil/FR
  • 12 Medical Oncology, Centre Eugene Marquis, 35042 - Rennes/FR
  • 13 Medical Oncology, Hôpitaux Universitaires de Strasbourg/Institut de Cancérologie Strasbourg Europe, 67091 - Strasbourg/FR
  • 14 Medical Oncology, Centre Francois Baclesse, 14076 - Caen/FR
  • 15 Medical Oncology, Institut Paoli-Calmettes Aix-Marseille University, Marseille/FR
  • 16 Medical Oncology, Functional Genomics Of Solid Tumors, Centre de recherche des Cordeliers, INSERM, Université de Paris, Paris/FR
  • 17 Medical Oncology, Hôpital Européen Georges Pompidou, APHP.Centre – Université de Paris, Paris, France; Paris Cardiovascular Research Center, INSERM, Université de Paris, 75015 - Paris/FR
  • 18 Medical Oncology, Hôpital Européen Georges Pompidou, APHP.Centre –Université de Paris; Centre de Recherche des Cordeliers, INSERM, Université de Paris, 75015 - Paris/FR

Resources

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Abstract 686P

Background

In the context of evolving therapeutic landscape in mRCC patients (pts) promoting IO and TKI combination, predictive biomarkers of efficacy are necessary. The role of circulating angiogenesis biomarkers (CABs) to predict response to IO has been assessed in the prospective BIONIKK trial.

Methods

The multicenter randomized phase II BIONIKK clinical trial (NCT02960906) included naive mRCC pts treated according to their ccrcc molecular groups: ccrcc1&4 by either nivolumab (N) or ipilumumab + nivolumab (IN) and ccrcc2&3 to sunitinib/pazopanib or IN. VEGF-A, sVEGFR1&2, sNeuropilin-1, angiopoietin 1 and 2, PlGF, PDGF AA& BB, sVCAM1, sEndoglin, IL-8, sPDL1, CA9, MMP-9 and SDF-1 were assessed at baseline (bsl) and at 6 weeks (6w). Association of bsl levels and % change from bsl (%ch) with ccrcc groups was estimated using ANOVA/ANCOVA. Association with overall response rate (ORR) and PFS was estimated using logistic and Cox models stratified on treatment. Correlation between CAB levels and their 3’-RNAseq transcriptomic expression and FFPE IHC staining was performed using multiple factor analysis. This study was sponsored by ARTIC and supported by FONCER contre le Cancer.

Results

Out of the 200 pts randomized overall, 113 were subject to longitudinal assessment of CABs. We found significant bsl mean differences between VEGFR-TKI-sensitive tumours (ccrcc2&3, n=45) and less or poor sensitive tumours (ccrcc1&4, n=68) for angiopoietin 1, sEndoglin, sVCAM-1, VEGF-A and sNeuropilin-1 whereas %ch differed significantly for sEndoglin, sVEGFR2, sVCAM1, MMP9 and SDF-1. No CAB was associated with ORR or PFS at bsl in univariate analysis. Upon MFA, CABs were strongly correlated between each other and linked to their related gene expression levels. More results will be presented at the ESMO meeting.

Conclusions

This study revealed differences in CAB bsl and %ch levels between immunogenic ccrcc1&4 sub-groups versus ccrcc2&3. Based on these results, ongoing exploration aims to identify a predictive CAB signature of tumour response to TKI and/or IO and to decipher mechanisms that could explain differences between ccRCC sub-groups.

Clinical trial identification

NCT02960906.

Editorial acknowledgement

Legal entity responsible for the study

ARTIC.

Funding

FONCER contre le cancer.

Disclosure

All authors have declared no conflicts of interest.

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