Melanoma is the fifth most common cancer in the United States, with over 7,000 deaths annually. Although most patients diagnosed with early-stage (stage I or II) disease have an excellent prognosis, two out of three patients who die from melanoma were initially diagnosed in early stages. Thus, additional methods to identify which patients are at risk of poor outcomes are needed. DecisionDx-Melanoma is a 31-gene expression profile (31-GEP) molecular risk stratification test that predicts an individual's risk of recurrence or metastasis in patients with cutaneous melanoma (CM). Here, we describe a 61-year-old man who presented with a spot on his upper scalp. A biopsy confirmed malignant melanoma measuring > 3.87 mm, with ulceration and mitotic rate 2 to 3/mm. CT, PET, and MRI scans did not reveal metastasis. Following wide local excision and sentinel lymph node biopsy, he was diagnosed with stage IIB CM. Due to the presence of high-risk features, 31-GEP testing was ordered, which revealed Class 2B (high-risk) CM. Due to the high-risk 31-GEP result, the patient was treated off-label with nivolumab for 1 year and received follow-up surveillance scans every 3 months for 3 years. At his last follow-up in April 2022, scans continued to show no recurrent or metastatic disease. The patient continues dermatologic screening every 6 months. The 31-GEP test provides valuable additional information to help clinicians make personalized, risk-based treatment and surveillance plans for patients with CM.
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http://dx.doi.org/10.6004/jadpro.2024.15.4.5 | DOI Listing |
Cancers (Basel)
November 2024
Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, Shreveport, LA 71103, USA.
Background: Cutaneous melanoma is an increasingly common and potentially lethal form of skin cancer. Current staging systems based on clinical and pathological features have limitations in accurately predicting outcomes, particularly for early-stage disease. The 31-gene expression profile (31-GEP) test has emerged as a promising tool for improving risk stratification in melanoma patients.
View Article and Find Full Text PDFCan J Ophthalmol
October 2024
Department of Ophthalmology and Visual Sciences, Kellogg Eye Center, University of Michigan, Ann Arbor, MI, United States. Electronic address:
Animals (Basel)
September 2024
Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou 311300, China.
Photoperiod can regulate the broodiness of geese and thus increase their egg-laying rate. The laying performance of geese is mainly determined by ovary and follicle development. To understand the effect of photoperiod on the ovary and small white follicles, sixteen 220-day-old healthy female Zhedong white geese were randomly divided into two groups for long photoperiods (15L:9D) and short photoperiods (9L:15D).
View Article and Find Full Text PDFJ Adv Pract Oncol
May 2024
From Cincinnati Cancer Advisors, Cincinnati, Ohio.
Melanoma is the fifth most common cancer in the United States, with over 7,000 deaths annually. Although most patients diagnosed with early-stage (stage I or II) disease have an excellent prognosis, two out of three patients who die from melanoma were initially diagnosed in early stages. Thus, additional methods to identify which patients are at risk of poor outcomes are needed.
View Article and Find Full Text PDFFront Oncol
August 2024
Department of Otolaryngology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Background: Tongue squamous cell carcinoma (TSCC) is a prevalent tumor that affects many people worldwide. Radiotherapy is a common treatment option, but its efficacy varies greatly. This study seeks to validate the identified gene signature associated with radiosensitivity in TSCC, and its potential in predicting radiotherapy response and prognosis.
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