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- Incidence estimate of nonmelanoma skin cancer (keratinocyte carcinomas) in the us population, 2012.JAMA Dermatol. 2015; 151: 1081-1086
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- NCCN Guidelines Version 3.2022 Prostate Cancer.(Available at:)https://www.nccn.org/home/Date: 2022
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- Tumour gene expression predicts response to cetuximab in patients with KRAS wild-type metastatic colorectal cancer.Br J Cancer. 2011; 104: 488-495
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- Cemiplimab in locally advanced cutaneous squamous cell carcinoma: results from an open-label, phase 2, single-arm trial.Lancet Oncol. 2020; 21: 294-305
- Pembrolizumab monotherapy for recurrent or metastatic cutaneous squamous cell carcinoma: a single-arm phase II trial (KEYNOTE-629).J Clin Oncol. 2020; 38: 2916-2925
- Blocking podoplanin suppresses growth and pulmonary metastasis of human malignant melanoma.BMC Cancer. 2019; 19https://doi.org/10.1186/s12885-019-5808-9
- Incidence of skin cancer in 5356 patients following organ transplantation.Br J Dermatol. 2000; 143: 513-519
- Metastasis of cutaneous squamous cell carcinoma in organ transplant recipients and the immunocompetent population: is there a difference? A systematic review and meta-analysis.J Eur Acad Dermatol Venereol. 2019; 33: 828-841
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- Distinct innate immune gene expression profiles in non-melanoma skin cancer of immunocompetent and immunosuppressed patients.PLoS One. 2012; 7https://doi.org/10.1371/journal.pone.0040754
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- Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study.BMJ (Online). 2017; 357https://doi.org/10.1136/bmj.j2813
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- Biopsy use in skin cancer diagnosis: comparing dermatology physicians and advanced practice professionals.JAMA Dermatol. 2015; 151: 899-902
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- Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma.J Cutan Pathol. 2015; 42: 244-252
- An independent validation of a gene expression signature to differentiate malignant melanoma from benign melanocytic nevi.Cancer. 2017; 123: 617-628
- Melanoma staging: evidence-based changes in the American Joint Committee on Cancer eighth edition cancer staging manual.CA: A Cancer J Clinicians. 2017; 67: 472-492
- Identification of high-risk cutaneous melanoma tumors is improved when combining the online American Joint Committee on Cancer Individualized Melanoma Patient Outcome Prediction Tool with a 31-gene expression profile–based classification.J Am Acad Dermatol. 2017; 76: 818-825.e3
- Gene expression signatures for tumor progression, tumor subtype, and tumor thickness in laser-microdissected melanoma tissues.Clin Cancer Res. 2007; 13: 806-815
- Molecular classification of cutaneous malignant melanoma by gene expression profiling.Nature. 2000; 406: 536-540
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- Long-term outcomes in a multicenter, prospective cohort evaluating the prognostic 31-gene expression profile for cutaneous melanoma.JCO Precis Oncol. 2021; 5: 00119
- Molecular risk prediction in cutaneous melanoma: a meta-analysis of the 31-gene expression profile prognostic test in 1,479 patients.J Am Acad Dermatol. 2020; 83: 745-753
- Performance of a 31-gene expression profile test in cutaneous melanomas of the head and neck.Head and Neck. 2019; 41: 871-879
- Prospective validation of the prognostic 31-gene expression profiling test in primary cutaneous melanoma.Cancer Med. 2019; 8: 2205-2212
- Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients.BMC Cancer. 2018; 18https://doi.org/10.1186/s12885-018-4016-3
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- 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: 149-157.e4
- Performance of gene expression profile tests for prognosis in patients with localized cutaneous melanoma: a systematic review and meta-analysis.JAMA Dermatol. 2020; 156: 953-962
- Factors affecting dermatologists’ use of a 31-gene expression profiling test as an adjunct for predicting metastatic risk in cutaneous melanoma.J Drugs Dermatol. 2018; 17: 544-547
- Clinical impact of a 31-gene expression profile test for cutaneous melanoma in 156 prospectively and consecutively tested patients.Curr Med Res Opin. 2016; 32: 1599-1604
- Impact of gene expression profiling on decision-making in clinically node negative melanoma patients after surgical staging.J Drugs Dermatol. 2018; 17: 196-199
- Impact of a 31-gene expression profiling test for cutaneous melanoma on dermatologists’ clinical management decisions.J Drugs Dermatol. 2017; 16: 428-431
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- Validation of a clinicopathological and gene expression profile model for sentinel lymph node metastasis in primary cutaneous melanoma.Br J Dermatol. 2021; 184: 944-951
- Gene-signature based prediction of relapse-free survival in melanoma patients with known sentinel lymph node status.J Clin Oncol. 2017; 35: e21037
- Clinical validation of a prognostic 11-gene expression profiling score in prospectively collected FFPE tissue of patients with AJCC v8 stage II cutaneous melanoma.Eur J Cancer. 2020; 125: 38-45
- Prognostic gene expression profiling in cutaneous melanoma: identifying the knowledge gaps and assessing the clinical benefit.JAMA Dermatol. 2020; 156: 1004-1011
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- Prognostic gene expression profiling in melanoma: necessary steps to incorporate into clinical practice.Melanoma Management. 2019; 6: MMT32
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- Basal cell carcinoma gene mutations differ between Asian, Hispanic, and Caucasian patients: a pilot study.J Drugs Dermatol. 2021; 20: 504-510
- Enhanced metastatic risk assessment in cutaneous squamous cell carcinoma with the 40-gene expression profile test.Future Oncol. 2021; (Published online November 25)https://doi.org/10.2217/fon-2021-1277
- Early outcome of a 31-gene expression profile test in 86 AJCC stage IB-II melanoma patients. A prospective multicentre cohort study.J Eur Acad Dermatol Venereol. 2019; 33: 857-862
- Estimation of prognosis in invasive cutaneous melanoma: an independent study of the accuracy of a gene expression profile test.Dermatol Surg. 2018; 44: 1494-1500
- Identification of stage I/IIA melanoma patients at high risk for disease relapse using a clinicopathologic and gene expression model.Eur J Cancer. 2020; 140: 11-18
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