Evidence map›Paper›PMID 33914348›Full record

ArticleInternational journal of dermatology2021

Validation of CP-GEP (Merlin Assay) for predicting sentinel lymph node metastasis in primary cutaneous melanoma patients: A U.S. cohort study.

Ahmed Yousaf, Félicia J Tjien-Fooh, Barbara Rentroia-Pacheco, Enrica Quattrocchi, Ajdin Kobic, Dennie Tempel, Michael Kolodney, Alexander Meves

Open access · hybridAbstract read
In one paragraph

Article in International journal of dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Cutaneous melanoma.Nature reviews. Disease primers · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Comparison of Two Rapid Assays for the Detection ofDiagnostics (Basel, Switzerland) · 2022
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Ahmed YousafWest Virginia University, Morgantown, WV, USA.ORCID https://orcid.org/0000-0003-3827-339X
Félicia J Tjien-FoohSkylineDx B.V., Rotterdam, NL, USA.
Barbara Rentroia-PachecoSkylineDx B.V., Rotterdam, NL, USA.
Enrica QuattrocchiMayo Clinic, Rochester, MN, USA.
Ajdin KobicMayo Clinic, Rochester, MN, USA.
Dennie TempelSkylineDx B.V., Rotterdam, NL, USA.
Michael KolodneyWest Virginia University, Morgantown, WV, USA.
Alexander MevesMayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0001-7462-8288
Mayo Clinic in Arizona · USSkyline College · USWest Virginia University · US

Funding

Precision Medicine by Targeting Cell Adhesion in MelanomaK08CA215105 · NCI · MAYO CLINIC ROCHESTER · PI MEVES, ALEXANDER · 2017 to 2021
$854k
NCI NIH HHS CA215105NCI NIH HHS K08 CA215105
6 · The paper itself

Abstract

backgroundApproximately 85% of melanoma patients who undergo a sentinel lymph node biopsy (SLNB) are node-negative. Melanoma incidence is highest in patients ≥65 years, but their SLNB positivity rate is lower than in younger patients. CP-GEP, a model combining clinicopathologic and gene expression variables, identifies primary cutaneous melanoma (CM) patients who may safely forgo SLNB due to their low risk for nodal metastasis. Here, we validate CP-GEP in a U.S. melanoma patient cohort.

methodsA cohort of 208 adult patients with primary CM from the Mayo Clinic and West Virginia University was used. Patients were stratified according to their risk for nodal metastasis: CP-GEP High Risk and CP-GEP Low Risk. The main performance measures were SLNB reduction rate (RR) and negative predictive value (NPV).

resultsSLNB positivity rate for the entire cohort was 21%. Most patients had a T1b (34%) or T2a (31%) melanoma. In the T1-T2 group (153 patients), CP-GEP achieved an SLNB RR of 41.8% (95% CI: 33.9-50.1) at an NPV of 93.8% (95% CI: 84.8-98.3). Subgroup analysis showed similar performance in T1-T2 patients ≥65 years of age (51 patients; SLNB positivity rate, 9.8%): SLNB RR of 43.1% (95% CI: 29.3-57.8) at an NPV of 95.5% (95% CI: 77.2-99.9).

conclusionWe confirmed the potential of CP-GEP to reduce negative SLNB in all relevant age groups. Our findings are especially relevant to patients ≥65 years, where surgery is often elective. CP-GEP may guide SLNB decision-making in clinical practice.

Indexed as

MelanomaSkin NeoplasmsAdultCohort StudiesHumansLymphatic MetastasisNeurofibromin 2Sentinel Lymph Node BiopsyNeurofibromin 2

Identifiers

PMID33914348
PMCPMC8251603
OpenAlexW3157312796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.