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

3615 - Validation of a Clinicopathological and Gene Expression Profile (CP-GEP) Model for Sentinel Lymph Node Metastasis in Primary Cutaneous Melanoma

Date

30 Sep 2019

Session

Poster Display session 3

Topics

Tumour Site

Melanoma

Presenters

Evalyn Mulder

Citation

Annals of Oncology (2019) 30 (suppl_5): v533-v563. 10.1093/annonc/mdz255

Authors

E.E..A..P. Mulder1, J.T. Dwarkasing2, L.M. Hollestein3, D. Tempel2, L. Bosman2, D. Verver4, A.L. Mooyaart5, A.A.M. Van der Veldt6, C. Verhoef7, T.E.C. Nijsten3, D.J. Grünhagen7

Author affiliations

  • 1 Surgical & Medical Oncology, Erasmus MC Cancer Institute, 3015 GD - Rotterdam/NL
  • 2 Scientific & Clinical Development, SkylineDx, 3062ME - Rotterdam/NL
  • 3 Dermatology, Erasmus MC Cancer Institute, 3015 GD - Rotterdam/NL
  • 4 Surgical Oncology, Erasmus MC Cancer Institute, 3015 GD - Rotterdam/NL
  • 5 Pathology, Erasmus MC Cancer Institute, 3015 GD - Rotterdam/NL
  • 6 Medical Oncology, Erasmus MC Cancer Institute, 3015 GD - Rotterdam/NL
  • 7 Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam/NL

Resources

Login to get immediate access to this content.

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

Abstract 3615

Background

As primary cutaneous melanoma patients with a positive sentinel lymph node (SLN, stage III) are now considered candidates for adjuvant systemic therapy, a SLN biopsy (SLNB) is indicated in more patients. However, SLNB is an invasive procedure and is negative in approximately 80% of patients. Therefore, there is a need for a non-invasive test to accurately identify patients with primary cutaneous melanoma without nodal metastases. Here we describe the first independent validation of a recently developed CP-GEP model to predict nodal metastasis. This risk model combines Breslow thickness, age, and gene expression variables from the primary melanoma.

Methods

This study focused on all patients >18 years who underwent a SLNB at the Erasmus Medical Center (between January 2007 and December 2017), within 90 days after diagnosis of primary cutaneous melanoma. Total RNA was extracted from formalin-fixed paraffin-embedded (FFPE) primary cutaneous melanomas, reversed transcribed into cDNA and subsequently analyzed for the expression of 8 target genes involved in melanoma metastasis (ITGB3, PLAT, SERPINE2, GDF15, TGFBR1, LOXL4, IL8, MLANA) using an optimized qPCR protocol.

Results

FFPE tissue samples from 211 patients were analyzed using the CP-GEP model. At diagnosis, the median age was 55 years (interquartile range [IQR] 45-65), and the median Breslow thickness was 2.1mm (IQR 1.4-3.4). Most patients presented with a T2 or T3 melanoma, accounting for 94 and 70 patients, respectively. Overall, 27.5% of patients had a positive SLN. The CP-GEP model had a negative predictive value (NPV) of 89.4%. In patients with stage T1-T2 melanoma, the model was able to achieve an SLNB reduction rate of 40.1% with an NPV of 90.7%.

Conclusions

The CP-GEP model is a non-invasive and validated tool that is able to predict nodal metastasis in an independent Dutch population. Consequently, this risk model is able to accurately identify patients with primary cutaneous melanoma that can safely forego SLNB. Therefore, the CP-GEP model is a promising tool for patient care, preventing unnecessary surgery in the majority of patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Erasmus University Medical Center, Department of Dermatology.

Funding

SkylineDx.

Disclosure

J.T. Dwarkasing: Shareholder / Stockholder / Stock options, Full / Part-time employment: SkylineDx BV. D. Tempel: Shareholder / Stockholder / Stock options, Full / Part-time employment: SkylineDx BV. L. Bosman: Shareholder / Stockholder / Stock options, Full / Part-time employment: SkylineDx. A.A.M. Van der Veldt: Advisory / Consultancy: BMS; Advisory / Consultancy: MSD; Advisory / Consultancy: Roche; Advisory / Consultancy: Novartis; Advisory / Consultancy: Pierre Fabre; Advisory / Consultancy: Pfizer; Advisory / Consultancy: Sanofi; Advisory / Consultancy: Ipsen. 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.