The Value of the 31-GEP for Rural Areas and Health Resource Allocation
Main Article Content
Keywords
31-GEP, Rural Dermatology, melanoma
References
1. Godinich B, Hensperger V, Guo W, Patel J, Hugh J, Kaufmann TL, Slutsky JB. Barriers to malignant melanoma diagnosis in rural areas in the United States: A systematic review. JAAD Reviews. 2024; 1:29-41. doi: 10.1016/j.jdrv.2024.06.001.
2. Yoo JY, Rigel DS. Trends in dermatology: geographic density of US dermatologists. Arch Dermatol. 2010; 146(7):779. doi: 10.1001/archdermatol.2010.127.
3. Guenther, JM, Ward, A, Martin, BJ. et al. A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecessary SLNBs in patients with cutaneous melanoma. World J Surg Onc. 2025; 23(1):5. doi: 10.1186/s12957-024-03640-x.
4. Gui J, Guo Z, Wu D. Clinical features, molecular pathology and immune microenvironmental characteristics of acral melanoma. J Transl Med. 2022; 20(1):367. doi: 10.1186/s12967-022-03532-2.
5. Marks E, Wysong A. The 31-gene expression profile test stratifies melanoma-specific survival across histological subtypes in patients with cutaneous melanoma. Poster presented at Fall Clinical October 2025 Las Vegas, NV.
6. Gastman BR, Gerami P, Kurley SJ, Cook RW, Leachman S, Vetto JT. Identification of patients at risk of metastasis using a prognostic 31-gene expression profile in subpopulations of melanoma patients with favorable outcomes by standard criteria. J Am Acad Dermatol. 2019; 80(1):149-157. doi: 10.1016/j.jaad.2018.07.028.
7. Jarell A, Skenderis B, Dillon LD, Dillon K, Marting B Quick AP, Cook RW. The 31-gene expression profile stratifies recurrence and metastasis in patients with cutaneous melanoma. Future Oncol. 2021;17(36): 5023-5031. doi: 10.2217/fon-2021-0996.
8. Hasanov M, Hasanov E, Pariser D Morgan-Linnell SK, Dierks S, Marting B, Jarell A. The 31-gene expression profile identifies patients at risk of developing early distant metastases and can guide risk-appropriate surveillance strategies. Poster presented at Fall Clinical October 2025 Las Vegas, NV.
2. Yoo JY, Rigel DS. Trends in dermatology: geographic density of US dermatologists. Arch Dermatol. 2010; 146(7):779. doi: 10.1001/archdermatol.2010.127.
3. Guenther, JM, Ward, A, Martin, BJ. et al. A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecessary SLNBs in patients with cutaneous melanoma. World J Surg Onc. 2025; 23(1):5. doi: 10.1186/s12957-024-03640-x.
4. Gui J, Guo Z, Wu D. Clinical features, molecular pathology and immune microenvironmental characteristics of acral melanoma. J Transl Med. 2022; 20(1):367. doi: 10.1186/s12967-022-03532-2.
5. Marks E, Wysong A. The 31-gene expression profile test stratifies melanoma-specific survival across histological subtypes in patients with cutaneous melanoma. Poster presented at Fall Clinical October 2025 Las Vegas, NV.
6. Gastman BR, Gerami P, Kurley SJ, Cook RW, Leachman S, Vetto JT. Identification of patients at risk of metastasis using a prognostic 31-gene expression profile in subpopulations of melanoma patients with favorable outcomes by standard criteria. J Am Acad Dermatol. 2019; 80(1):149-157. doi: 10.1016/j.jaad.2018.07.028.
7. Jarell A, Skenderis B, Dillon LD, Dillon K, Marting B Quick AP, Cook RW. The 31-gene expression profile stratifies recurrence and metastasis in patients with cutaneous melanoma. Future Oncol. 2021;17(36): 5023-5031. doi: 10.2217/fon-2021-0996.
8. Hasanov M, Hasanov E, Pariser D Morgan-Linnell SK, Dierks S, Marting B, Jarell A. The 31-gene expression profile identifies patients at risk of developing early distant metastases and can guide risk-appropriate surveillance strategies. Poster presented at Fall Clinical October 2025 Las Vegas, NV.
