Evidence map›Paper›PMID 30950242›Full record

Observational studyCancer medicine2019

Prospective validation of the prognostic 31-gene expression profiling test in primary cutaneous melanoma.

Jennifer Keller, Theresa L Schwartz, Jason M Lizalek, Ea-Sle Chang, Ashaki D Patel, Maria Y Hurley, Eddy C Hsueh

Abstract readObservational Study
In one paragraph

Observational study in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma.International journal of molecular sciences · 2022
    Review
  12. Using Gene Expression Profiling to Personalize Skin Cancer Management.The Journal of clinical and aesthetic dermatology · 2022
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Prognostic Biomarkers in Melanoma: Tailoring Treatments to the Patient.The Journal of clinical and aesthetic dermatology · 2021
    Review
  18. Review
  19. Review
  20. 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

7 authors.

Jennifer KellerDepartment of Surgery, Saint Louis University, St. Louis, Missouri.
Theresa L SchwartzDepartment of Surgery, Saint Louis University, St. Louis, Missouri.
Jason M LizalekDepartment of Surgery, Saint Louis University, St. Louis, Missouri.
Ea-Sle ChangDepartment of Surgery, Saint Louis University, St. Louis, Missouri.
Ashaki D PatelDepartment of Surgery, Saint Louis University, St. Louis, Missouri.
Maria Y HurleyDepartment of Dermatology, Saint Louis University, St. Louis, Missouri.
Eddy C HsuehDepartment of Surgery, Saint Louis University, St. Louis, Missouri.ORCID 0000-0002-0327-2605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene expression profiling (GEP) has been integrated into cancer treatment decision-making in multiple neoplasms. We prospectively evaluated the prognostic utility of the 31-GEP test (DecisionDx-Melanoma, Castle Biosciences, Inc) in cutaneous melanoma (CM) patients undergoing sentinel node biopsy (SNB).

methodsOne hundred fifty-nine patients (age 26-88) diagnosed with melanoma between 01/2013 and 8/2015 underwent SNB and concurrent GEP testing. GEP results were reported as low-risk Class 1 (subclasses 1A and 1B) or high-risk Class 2 (subclasses 2A and 2B). Statistical analyses were performed with chi-square analysis, t tests, log-rank tests, and Cox proportional hazard models. Recurrence-free survival (RFS) and distant metastasis-free survival (DMFS) were estimated using Kaplan-Meier method.

resultsMedian follow-up was 44.9 months for event-free cases. Median Breslow thickness was 1.4 mm (0.2-15.0 mm). There were 117 Class 1 and 42 Class 2 patients. Gender, age, Breslow thickness, ulceration, SNB positivity, and AJCC stage were significantly associated with GEP classification (P < 0.05 for all). Recurrence and distant metastasis rates were 5% and 1% for Class 1 patients compared with 55% and 36% for Class 2 patients. Sensitivities of Class 2 and SNB for recurrence were 79% and 34%, respectively. Of 10 SNB-positive/Class 2 patients, 9 recurred. By multivariate analysis, only SNB result and GEP class were statistically associated with both RFS (P = 0.008 and 0.0001) and DMFS (P = 0.019 and 0.001).

conclusionsGene expression profiling Class 2 result and SNB positivity were independently associated with recurrence and distant metastasis in primary CM patients. GEP testing may have additive prognostic utility in initial staging work-up of these patients.

Indexed as

Gene Regulatory NetworksAgedAged, 80 and overCutaneous Malignant MelanomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMelanomaNeoplasm StagingPrognosisProspective StudiesSentinel Lymph Node BiopsySkin NeoplasmsSurvival Analysiscutaneous melanomagene expression profileprognosis

Identifiers

PMID30950242
PMCPMC6536922

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Registered trials

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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.