Literature DB >> 35081854

Expanded evidence that the 31-gene expression profile test provides clinical utility for melanoma management in a multicenter study.

Larry D Dillon1, Michael McPhee2, Robert S Davidson3, Ann P Quick4, Brian Martin4, Kyle R Covington4, Olga Zolochevska4, Robert W Cook4, John T Vetto5, Abel D Jarell6, Martin D Fleming7.   

Abstract

OBJECTIVE: National Comprehensive Cancer Network (NCCN) guidelines for cutaneous melanoma (CM) recommend physicians consider increased surveillance for patients who typically have lower melanoma survival rates (stages IIB-IV as determined by the American Joint Committee on Cancer (AJCC), 8th edition). However, up to 15% of patients identified as having a low recurrence risk (stages I-IIA) experience disease recurrence, and some patients identified as having a high recurrence risk will not experience any recurrence. The 31-gene expression profile test (31-GEP) stratifies patient recurrence risk into low (Class 1) and high (Class 2) and has demonstrated risk-appropriate impact on disease management and clinical decisions.
METHODS: Five-year plans for lab work, frequency of clinical visits, and imaging pre- and post-31-GEP test results were assessed for a cohort of 509 stage I-III patients following an interim subset analysis of 247 patients.
RESULTS: After receiving 31-GEP results, 50.6% of patients had a change in management plans in at least one of the following categories-clinical visits, lab work, or surveillance imaging. The changes aligned with the risk predicted by the 31-GEP for 76.1% of patients with a Class 1 result and 78.7% of patients with a Class 2 result. A Class 1 31-GEP result was associated with changes toward low-intensity management recommendations, while a Class 2 result was associated with changes toward high-intensity management recommendations.
CONCLUSION: The 31-GEP can stratify patient recurrence risk in patients with CM, and clinicians understand and apply the prognostic ability of the 31-GEP test to alter patient management in risk-appropriate directions.

Entities:  

Keywords:  Melanoma; gene expression profiling; neoplasm staging; prognosis

Mesh:

Year:  2022        PMID: 35081854     DOI: 10.1080/03007995.2022.2033560

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.705


  1 in total

1.  A novel endoplasmic reticulum stress-related lncRNA prognostic risk model for cutaneous melanoma.

Authors:  An-An Li; Fan Li; Min Lan; Yu Zhang; Dong Xie; Mei-Ying Yan
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-10       Impact factor: 4.322

  1 in total

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