Literature DB >> 34794843

Validation of a clinicopathological and gene expression profile model to identify patients with cutaneous melanoma where sentinel lymph node biopsy is unnecessary.

I Johansson1, D Tempel2, J T Dwarkasing2, B Rentroia-Pacheco2, J Mattsson3, L Ny4, R Olofsson Bagge5.   

Abstract

BACKGROUND: In patients with cutaneous melanoma, sentinel lymph node biopsy (SLNB) serves as an important technique to asses disease stage and to guide adjuvant systemic therapy. A model using clinicopathologic and gene expression variables (CP-GEP; Merlin Assay) has recently been introduced to identify patients that may safely forgo SLNB. Herein we present data from an independent validation cohort of the CP-GEP model in Swedish patients.
METHODS: Archival histological material (primary melanoma tissue) from a prospectively collected cohort of 421 consecutive patients with pT1-T4 melanoma undergoing SLNB between 2006 and 2014 was analyzed using the CP-GEP model. CP-GEP combines Breslow thickness and patient age with the expression levels of eight genes from the primary melanoma. Stratification is based on their risk for nodal metastasis: CP-GEP Low Risk or CP-GEP High Risk.
RESULTS: The SLNB positivity rate was 13%. Of 421 primary melanomas, the CP-GEP model identified 86 patients as having a low risk for nodal metastasis. In patients with pT1-2 melanomas, the SLNB reduction rate was 35.4% (95% CI: 29.4-41.8) with a negative predictive value (NPV) of 96.5% (95% CI: 90.0-99.3). Among patients with pT1-3 melanomas, CP-GEP suggested a SLNB reduction rate of 24.0% (95% CI: 19.7-28.8) and a NPV of 96.5% (95% CI: 90.1-99.3). Only one of 118 pT3 tumors was classified as CP-GEP Low Risk, and all pT4 tumors were classified as being high risk for nodal metastasis.
CONCLUSION: This study demonstrates that CP-GEP can identify patients with a low risk for nodal metastasis. Patients with pT1-2 melanomas have the highest clinical benefit from using the test, where 35% of the patients could forgo a SLNB procedure.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  CP-GEP model; Gene expression; Melanoma; Sentinel node

Mesh:

Year:  2021        PMID: 34794843     DOI: 10.1016/j.ejso.2021.11.010

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  4 in total

1.  Using a Clinicopathologic and Gene Expression (CP-GEP) Model to Identify Stage I-II Melanoma Patients at Risk of Disease Relapse.

Authors:  Evalyn E A P Mulder; Iva Johansson; Dirk J Grünhagen; Dennie Tempel; Barbara Rentroia-Pacheco; Jvalini T Dwarkasing; Daniëlle Verver; Antien L Mooyaart; Astrid A M van der Veldt; Marlies Wakkee; Tamar E C Nijsten; Cornelis Verhoef; Jan Mattsson; Lars Ny; Loes M Hollestein; Roger Olofsson Bagge
Journal:  Cancers (Basel)       Date:  2022-06-09       Impact factor: 6.575

Review 2.  Breslow thickness 2.0: Why gene expression profiling is a step toward better patient selection for sentinel lymph node biopsies.

Authors:  Mariana B Sadurní; Alexander Meves
Journal:  Mod Pathol       Date:  2022-06-02       Impact factor: 8.209

3.  Tetraspanin CD9 Expression Predicts Sentinel Node Status in Patients with Cutaneous Melanoma.

Authors:  Guendalina Lucarini; Elisa Molinelli; Caterina Licini; Giulio Rizzetto; Giulia Radi; Gaia Goteri; Monica Mattioli-Belmonte; Annamaria Offidani; Oriana Simonetti
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

Review 4.  Dermatologic Disease-Directed Targeted Therapy (D3T2): The Application of Biomarker-Based Precision Medicine for the Personalized Treatment of Skin Conditions-Precision Dermatology.

Authors:  Philip R Cohen; Razelle Kurzrock
Journal:  Dermatol Ther (Heidelb)       Date:  2022-09-19
  4 in total

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