1
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Vargas GM, Farooq MS, Karakousis GC. Adjuvant Therapy for High-Risk Stage II Melanoma: Current Paradigms in Management and Future Directions. Cancers (Basel) 2024; 16:2690. [PMID: 39123418 PMCID: PMC11312203 DOI: 10.3390/cancers16152690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 08/12/2024] Open
Abstract
Melanoma is the fifth most common cancer in the United States and accounts for the majority of all skin cancer-related deaths, making it the most lethal cutaneous malignancy. Systemic adjuvant therapy for stage IIB-IV melanoma is now approved for patients who have undergone surgical resection, given the appreciable risk of recurrence and mortality in this patient population. Despite the lower stage, high-risk stage II melanoma (stage IIB/IIC) can often exhibit an even more aggressive course when compared to stage IIIA/IIIB disease, thus justifying consideration of adjuvant therapy in these patients. In this review, we highlight the current standard of practice for the treatment of stage IIB/C melanoma, with a focus on adjuvant therapies supported by published landmark clinical trials, including anti-PD-1 therapy. Notably, adjuvant therapies approved thus far in this patient population have demonstrated an improvement in recurrence-free survival, while their impact on overall survival is pending. Finally, this review highlights currently ongoing trials and future directions for research and treatment possibilities for high-risk clinical stage II melanoma.
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Affiliation(s)
| | | | - Giorgos C. Karakousis
- Division of Endocrine and Oncologic Surgery, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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2
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Wei ML, Tada M, So A, Torres R. Artificial intelligence and skin cancer. Front Med (Lausanne) 2024; 11:1331895. [PMID: 38566925 PMCID: PMC10985205 DOI: 10.3389/fmed.2024.1331895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Artificial intelligence is poised to rapidly reshape many fields, including that of skin cancer screening and diagnosis, both as a disruptive and assistive technology. Together with the collection and availability of large medical data sets, artificial intelligence will become a powerful tool that can be leveraged by physicians in their diagnoses and treatment plans for patients. This comprehensive review focuses on current progress toward AI applications for patients, primary care providers, dermatologists, and dermatopathologists, explores the diverse applications of image and molecular processing for skin cancer, and highlights AI's potential for patient self-screening and improving diagnostic accuracy for non-dermatologists. We additionally delve into the challenges and barriers to clinical implementation, paths forward for implementation and areas of active research.
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Affiliation(s)
- Maria L. Wei
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
- Dermatology Service, San Francisco VA Health Care System, San Francisco, CA, United States
| | - Mikio Tada
- Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, United States
| | - Alexandra So
- School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Rodrigo Torres
- Dermatology Service, San Francisco VA Health Care System, San Francisco, CA, United States
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3
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Kim HJ, Kim YH. Molecular Frontiers in Melanoma: Pathogenesis, Diagnosis, and Therapeutic Advances. Int J Mol Sci 2024; 25:2984. [PMID: 38474231 DOI: 10.3390/ijms25052984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 03/14/2024] Open
Abstract
Melanoma, a highly aggressive skin cancer, is characterized by rapid progression and high mortality. Recent advances in molecular pathogenesis have shed light on genetic and epigenetic changes that drive melanoma development. This review provides an overview of these developments, focusing on molecular mechanisms in melanoma genesis. It highlights how mutations, particularly in the BRAF, NRAS, c-KIT, and GNAQ/GNA11 genes, affect critical signaling pathways. The evolution of diagnostic techniques, such as genomics, transcriptomics, liquid biopsies, and molecular biomarkers for early detection and prognosis, is also discussed. The therapeutic landscape has transformed with targeted therapies and immunotherapies, improving patient outcomes. This paper examines the efficacy, challenges, and prospects of these treatments, including recent clinical trials and emerging strategies. The potential of novel treatment strategies, including neoantigen vaccines, adoptive cell transfer, microbiome interactions, and nanoparticle-based combination therapy, is explored. These advances emphasize the challenges of therapy resistance and the importance of personalized medicine. This review underlines the necessity for evidence-based therapy selection in managing the increasing global incidence of melanoma.
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Affiliation(s)
- Hyun Jee Kim
- Department of Dermatology, International St. Mary's Hospital, College of Medicine, Catholic Kwandong University, Incheon 22711, Republic of Korea
| | - Yeong Ho Kim
- Department of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
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4
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Sun J, Karasaki KM, Farma JM. The Use of Gene Expression Profiling and Biomarkers in Melanoma Diagnosis and Predicting Recurrence: Implications for Surveillance and Treatment. Cancers (Basel) 2024; 16:583. [PMID: 38339333 PMCID: PMC10854922 DOI: 10.3390/cancers16030583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Cutaneous melanoma is becoming more prevalent in the United States and has the highest mortality among cutaneous malignancies. The majority of melanomas are diagnosed at an early stage and, as such, survival is generally favorable. However, there remains prognostic uncertainty among subsets of early- and intermediate-stage melanoma patients, some of whom go on to develop advanced disease while others remain disease-free. Melanoma gene expression profiling (GEP) has evolved with the notion to help bridge this gap and identify higher- or lower-risk patients to better tailor treatment and surveillance protocols. These tests seek to prognosticate melanomas independently of established AJCC 8 cancer staging and clinicopathologic features (sex, age, primary tumor location, thickness, ulceration, mitotic rate, lymphovascular invasion, microsatellites, and/or SLNB status). While there is a significant opportunity to improve the accuracy of melanoma prognostication and diagnosis, it is equally important to understand the current landscape of molecular profiling for melanoma treatment. Society guidelines currently do not recommend molecular testing outside of clinical trials for melanoma clinical decision making, citing insufficient high-quality evidence guiding indications for the testing and interpretation of results. The goal of this chapter is to review the available literature for GEP testing for melanoma diagnosis and prognostication and understand their place in current treatment paradigms.
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Affiliation(s)
- James Sun
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA 19002, USA;
| | | | - Jeffrey M. Farma
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA 19002, USA;
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5
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Huang C, Lau TWS, Smoller BR. Diagnosing Cutaneous Melanocytic Tumors in the Molecular Era: Updates and Review of Literature. Dermatopathology (Basel) 2024; 11:26-51. [PMID: 38247727 PMCID: PMC10801542 DOI: 10.3390/dermatopathology11010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Over the past decade, molecular and genomic discoveries have experienced unprecedented growth, fundamentally reshaping our comprehension of melanocytic tumors. This review comprises three main sections. The first part gives an overview of the current genomic landscape of cutaneous melanocytic tumors. The second part provides an update on the associated molecular tests and immunohistochemical stains that are helpful for diagnostic purposes. The third section briefly outlines the diverse molecular pathways now utilized for the classification of cutaneous melanomas. The primary goal of this review is to provide a succinct overview of the molecular pathways involved in melanocytic tumors and demonstrate their practical integration into the realm of diagnostic aids. As the molecular and genomic knowledge base continues to expand, this review hopes to serve as a valuable resource for healthcare professionals, offering insight into the evolving molecular landscape of cutaneous melanocytic tumors and its implications for patient care.
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Affiliation(s)
- Chelsea Huang
- Department of Pathology, Loma Linda University Medical Center, Loma Linda, CA 92354, USA
| | | | - Bruce R. Smoller
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY 14642, USA;
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6
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Strahan AG, Švagelj I, Jukic D. Relationship of Histopathologic Parameters and Gene Expression Profiling in Malignant Melanoma. Am J Clin Dermatol 2024; 25:119-126. [PMID: 37667131 DOI: 10.1007/s40257-023-00815-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Histopathologic characteristics (HC) are a mainstay in melanoma prognosis; gene expression profiling (GEP) has emerged as a potential additional independent value. OBJECTIVE To elucidate HC predictive of groups obtained via GEP of malignant melanoma. METHODS A retrospective study analyzing HC of 265 melanomas submitted for GEP over the course of 8 years. GEP was conducted as a part of regular clinicopathologic workup through Castle Biosciences Decision Dx®. RESULTS Of the 265 cases, the major HC found to have an association with reported gene expression profiles were melanoma histology subtype, depth of invasion, and presence of ulcer. LIMITATIONS This study is limited by its cross-sectional nature. Causation and long-term related outcomes of the use of GEP versus American Joint Committee on Cancer histopathologic staging cannot be ascertained by this design. CONCLUSIONS An association, but no definitive prediction, exists between histopathologic categories of depth of invasion, melanoma subtype, and presence or absence of ulcer and gene expression profiles. GEP adds valuable data to the evaluation of malignant melanomas that cannot be definitively predicted by conventional models. The findings add to needed groundwork for comparison of traditional markers and molecular genotyping and begins to build a robust predictive model for better outcomes in patients with malignant melanoma.
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Affiliation(s)
| | - Ivan Švagelj
- Department of Pathology and Cytology, General County Hospital Vinkovci, Vinkovci, Croatia
| | - Drazen Jukic
- Department of Pathology and Clinical Sciences Education, Mercer University School of Medicine, 900 Mohawk St suite E, Savannah, GA, 31419, USA.
- Georgia Dermatopathology, Savannah, GA, USA.
- Department of Dermatology, University of Florida, Gainesville, FL, USA.
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7
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Stassen RC, Mulder EEAP, Mooyaart AL, Francken AB, van der Hage J, Aarts MJB, van der Veldt AAM, Verhoef C, Grünhagen DJ. Clinical evaluation of the clinicopathologic and gene expression profile (CP-GEP) in patients with melanoma eligible for sentinel lymph node biopsy: A multicenter prospective Dutch study. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:107249. [PMID: 37907016 DOI: 10.1016/j.ejso.2023.107249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/29/2023] [Accepted: 10/25/2023] [Indexed: 11/02/2023]
Abstract
Sentinel lymph node biopsy (SLNB) is recommended for patients with >pT1b cutaneous melanoma, and should be considered and discussed with patients diagnosed with pT1b cutaneous melanoma for the purpose of staging, prognostication and determining eligibility for adjuvant therapy. Previously, the clinicopathologic and gene expression profile (CP-GEP, Merlin Assay®) model was developed to identify patients who can forgo SLNB because of a low risk for sentinel node metastasis. The aim of this study was to evaluate the clinical use and implementation of the CP-GEP model in a prospective multicenter study in the Netherlands. Both test performance and feasibility for clinical implementation were assessed in 260 patients with T1-T4 melanoma. The CP-GEP model demonstrated an overall negative predictive value of 96.7% and positive predictive value of 23.7%, with a potential SLNB reduction rate of 42.2% in patients with T1-T3 melanoma. With a median time of 16 days from initiation to return of test results, there was sufficient time left before the SLNB was performed. Based on these outcomes, the model may support clinical decision-making to identify patients who can forgo SLNB in clinical practice.
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Affiliation(s)
- Robert C Stassen
- Department of Surgical Oncology, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands
| | - Evalyn E A P Mulder
- Department of Surgical Oncology, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands; Departments of Medical Oncology and Radiology & Nuclear Medicine, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands
| | - Antien L Mooyaart
- Department of Pathology, Erasmus Medical Centre - Cancer Institute Rotterdam, the Netherlands
| | | | - Jos van der Hage
- Department of Surgical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Maureen J B Aarts
- Department of Medical Oncology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Astrid A M van der Veldt
- Departments of Medical Oncology and Radiology & Nuclear Medicine, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands
| | - Cornelis Verhoef
- Department of Surgical Oncology, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands
| | - Dirk J Grünhagen
- Department of Surgical Oncology, Erasmus Medical Center - Cancer Institute, Rotterdam, the Netherlands.
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8
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Fastner S, Shen N, Hartman RI, Chu EY, Kim CC, Kirkwood JM, Grossman D. Prognostic gene expression profile testing to inform use of adjuvant therapy: A survey of melanoma experts. Cancer Med 2023; 12:22103-22108. [PMID: 38098216 PMCID: PMC10757117 DOI: 10.1002/cam4.6819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/16/2023] [Accepted: 12/03/2023] [Indexed: 12/31/2023] Open
Abstract
OBJECTIVES To investigate current practices and attitudes regarding use of adjuvant immunotherapy and prognostic gene expression profile (GEP) testing among melanoma medical and surgical oncologists. METHODS An anonymous RedCap-based survey was emailed to ~300 melanoma experts. RESULTS Respondents generally favored adjuvant immunotherapy over observation (73% for all Stage IIIA, 50% for Stage IIB/IIC) and cited a minimum 10-year recurrence risk of 11%-20% (48%) or 21%-30% (33%) to justify treatment, but acknowledged that risks of serious adverse events may outweigh potential benefits for some Stage IIB/IIC patients. While GEP test results did not strongly influence decision-making regarding follow-up or intervention, most were receptive to randomized trials using GEP testing to identify subsets of Stage IIB/IIC (74%) and Stage IB/IIA (54%) patients who may not or may, respectively, benefit from adjuvant therapy. CONCLUSION Although most respondents do not routinely use GEP testing, many would participate in clinical trials to determine clinical utility.
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Affiliation(s)
- Suzanne Fastner
- Huntsman Cancer InstituteUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
| | - Nathan Shen
- Huntsman Cancer InstituteUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
| | - Rebecca I. Hartman
- Department of DermatologyUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
- Department of DermatologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of DermatologyVA Integrated Service Network (VISN‐1)Jamaica PlainMassachusettsUSA
| | - Emily Y. Chu
- Department of DermatologyPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Caroline C. Kim
- Department of DermatologyTufts Medical CenterBostonMassachusettsUSA
| | - John M. Kirkwood
- Departments of DermatologyUniversity of Pittsburgh, UPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
- Departments of MedicineUniversity of Pittsburgh, UPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Douglas Grossman
- Huntsman Cancer InstituteUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
- Department of DermatologyUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
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9
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Waseh S, Lee JB. Advances in melanoma: epidemiology, diagnosis, and prognosis. Front Med (Lausanne) 2023; 10:1268479. [PMID: 38076247 PMCID: PMC10703395 DOI: 10.3389/fmed.2023.1268479] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/13/2023] [Indexed: 06/30/2024] Open
Abstract
Unraveling the multidimensional complexities of melanoma has required concerted efforts by dedicated community of researchers and clinicians battling against this deadly form of skin cancer. Remarkable advances have been made in the realm of epidemiology, classification, diagnosis, and therapy of melanoma. The treatment of advanced melanomas has entered the golden era as targeted personalized therapies have emerged that have significantly altered the mortality rate. A paradigm shift in the approach to melanoma classification, diagnosis, prognosis, and staging is underway, fueled by discoveries of genetic alterations in melanocytic neoplasms. A morphologic clinicopathologic classification of melanoma is expected to be replaced by a more precise molecular based one. As validated, convenient, and cost-effective molecular-based tests emerge, molecular diagnostics will play a greater role in the clinical and histologic diagnosis of melanoma. Artificial intelligence augmented clinical and histologic diagnosis of melanoma is expected to make the process more streamlined and efficient. A more accurate model of prognosis and staging of melanoma is emerging based on molecular understanding melanoma. This contribution summarizes the recent advances in melanoma epidemiology, classification, diagnosis, and prognosis.
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Affiliation(s)
- Shayan Waseh
- Department of Dermatology, Temple University Hospital, Philadelphia, PA, United States
| | - Jason B. Lee
- Department of Dermatology, Thomas Jefferson University, Philadelphia, PA, United States
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10
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Pavlick AC, Ariyan CE, Buchbinder EI, Davar D, Gibney GT, Hamid O, Hieken TJ, Izar B, Johnson DB, Kulkarni RP, Luke JJ, Mitchell TC, Mooradian MJ, Rubin KM, Salama AK, Shirai K, Taube JM, Tawbi HA, Tolley JK, Valdueza C, Weiss SA, Wong MK, Sullivan RJ. Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of melanoma, version 3.0. J Immunother Cancer 2023; 11:e006947. [PMID: 37852736 PMCID: PMC10603365 DOI: 10.1136/jitc-2023-006947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2023] [Indexed: 10/20/2023] Open
Abstract
Since the first approval for immune checkpoint inhibitors (ICIs) for the treatment of cutaneous melanoma more than a decade ago, immunotherapy has completely transformed the treatment landscape of this chemotherapy-resistant disease. Combination regimens including ICIs directed against programmed cell death protein 1 (PD-1) with anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) agents or, more recently, anti-lymphocyte-activation gene 3 (LAG-3) agents, have gained regulatory approvals for the treatment of metastatic cutaneous melanoma, with long-term follow-up data suggesting the possibility of cure for some patients with advanced disease. In the resectable setting, adjuvant ICIs prolong recurrence-free survival, and neoadjuvant strategies are an active area of investigation. Other immunotherapy strategies, such as oncolytic virotherapy for injectable cutaneous melanoma and bispecific T-cell engager therapy for HLA-A*02:01 genotype-positive uveal melanoma, are also available to patients. Despite the remarkable efficacy of these regimens for many patients with cutaneous melanoma, traditional immunotherapy biomarkers (ie, programmed death-ligand 1 expression, tumor mutational burden, T-cell infiltrate and/or microsatellite stability) have failed to reliably predict response. Furthermore, ICIs are associated with unique toxicity profiles, particularly for the highly active combination of anti-PD-1 plus anti-CTLA-4 agents. The Society for Immunotherapy of Cancer (SITC) convened a panel of experts to develop this clinical practice guideline on immunotherapy for the treatment of melanoma, including rare subtypes of the disease (eg, uveal, mucosal), with the goal of improving patient care by providing guidance to the oncology community. Drawing from published data and clinical experience, the Expert Panel developed evidence- and consensus-based recommendations for healthcare professionals using immunotherapy to treat melanoma, with topics including therapy selection in the advanced and perioperative settings, intratumoral immunotherapy, when to use immunotherapy for patients with BRAFV600-mutated disease, management of patients with brain metastases, evaluation of treatment response, special patient populations, patient education, quality of life, and survivorship, among others.
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Affiliation(s)
| | - Charlotte E Ariyan
- Department of Surgery Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Diwakar Davar
- Hillman Cancer Center, University of Pittsburg Medical Center, Pittsburgh, Pennsylvania, USA
| | - Geoffrey T Gibney
- Lombardi Comprehensive Cancer Center, MedStar Georgetown University Hospital, Washington, District of Columbia, USA
| | - Omid Hamid
- The Angeles Clinic and Research Institute, A Cedars-Sinai Affiliate, Los Angeles, California, USA
| | - Tina J Hieken
- Department of Surgery and Comprehensive Cancer Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, Columbia University Medical Center, New York, New York, USA
| | - Douglas B Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rajan P Kulkarni
- Departments of Dermatology, Oncological Sciences, Biomedical Engineering, and Center for Cancer Early Detection Advanced Research, Knight Cancer Institute, OHSU, Portland, Oregon, USA
- Operative Care Division, VA Portland Health Care System (VAPORHCS), Portland, Oregon, USA
| | - Jason J Luke
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Tara C Mitchell
- Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Meghan J Mooradian
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Krista M Rubin
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - April Ks Salama
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, Carolina, USA
| | - Keisuke Shirai
- Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Janis M Taube
- Department of Dermatology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hussein A Tawbi
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - J Keith Tolley
- Patient Advocate, Melanoma Research Alliance, Washington, DC, USA
| | - Caressa Valdueza
- Cutaneous Oncology Program, Weill Cornell Medicine, New York, New York, USA
| | - Sarah A Weiss
- Department of Medical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - Michael K Wong
- Patient Advocate, Melanoma Research Alliance, Washington, DC, USA
| | - Ryan J Sullivan
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA
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11
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Ascierto PA, Agarwala SS, Warner AB, Ernstoff MS, Fox BA, Gajewski TF, Galon J, Garbe C, Gastman BR, Gershenwald JE, Kalinski P, Krogsgaard M, Leidner RS, Lo RS, Menzies AM, Michielin O, Poulikakos PI, Weber JS, Caracò C, Osman I, Puzanov I, Thurin M. Perspectives in Melanoma: meeting report from the Melanoma Bridge (December 1st-3rd, 2022-Naples, Italy). J Transl Med 2023; 21:508. [PMID: 37507765 PMCID: PMC10375730 DOI: 10.1186/s12967-023-04325-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 07/01/2023] [Indexed: 07/30/2023] Open
Abstract
Outcomes for patients with melanoma have improved over the past decade with the clinical development and approval of immunotherapies targeting immune checkpoint receptors such as programmed death-1 (PD-1), programmed death ligand 1 (PD-L1) or cytotoxic T lymphocyte antigen-4 (CTLA-4). Combinations of these checkpoint therapies with other agents are now being explored to improve outcomes and enhance benefit-risk profiles of treatment. Alternative inhibitory receptors have been identified that may be targeted for anti-tumor immune therapy, such as lymphocyte-activation gene-3 (LAG-3), as have several potential target oncogenes for molecularly targeted therapy, such as tyrosine kinase inhibitors. Unfortunately, many patients still progress and acquire resistance to immunotherapy and molecularly targeted therapies. To bypass resistance, combination treatment with immunotherapies and single or multiple TKIs have been shown to improve prognosis compared to monotherapy. The number of new combinations treatment under development for melanoma provides options for the number of patients to achieve a therapeutic benefit. Many diagnostic and prognostic assays have begun to show clinical applicability providing additional tools to optimize and individualize treatments. However, the question on the optimal algorithm of first- and later-line therapies and the search for biomarkers to guide these decisions are still under investigation. This year, the Melanoma Bridge Congress (Dec 1st-3rd, 2022, Naples, Italy) addressed the latest advances in melanoma research, focusing on themes of paramount importance for melanoma prevention, diagnosis and treatment. This included sessions dedicated to systems biology on immunotherapy, immunogenicity and gene expression profiling, biomarkers, and combination treatment strategies.
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Affiliation(s)
- Paolo A Ascierto
- Department of Melanoma, Cancer Immunotherapy and Innovative Therapy, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", Naples, Italy.
| | | | | | - Marc S Ernstoff
- ImmunoOncology Branch (IOB), Developmental Therapeutics Program, Cancer Therapy and Diagnosis Division, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Bernard A Fox
- Robert W. Franz Cancer Center, Earle A. Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Thomas F Gajewski
- Department of Pathology and Department of Medicine (Section of Hematology/Oncology), University of Chicago, Chicago, IL, USA
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, 75006, Paris, France
- Centre de Recherche Des Cordeliers, Sorbonne Université, Université de Paris, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
| | - Claus Garbe
- Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany
| | - Brian R Gastman
- Department of Surgery, School of Medicine, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pawel Kalinski
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Michelle Krogsgaard
- Laura and Isaac Perlmutter Cancer Center and Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Rom S Leidner
- Earle A. Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Roger S Lo
- Jonsson Comprehensive Cancer Center David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Olivier Michielin
- Department of Oncology, Geneva University Hospital, Geneva, Switzerland
| | - Poulikos I Poulikakos
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeffrey S Weber
- Laura and Isaac Perlmutter Cancer Center, a NCI-Funded Comprehensive Cancer Center, NYU School of Medicine, New York, NY, USA
| | - Corrado Caracò
- Division of Surgery of Melanoma and Skin Cancer, Istituto Nazionale Tumori "Fondazione Pascale" IRCCS, Naples, Italy
| | - Iman Osman
- Rudolf L, Baer, New York University Langone Medical Center, New York, NY, USA
| | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Magdalena Thurin
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institute of Health (NIH), Bethesda, MD, USA
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12
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Long GV, Swetter SM, Menzies AM, Gershenwald JE, Scolyer RA. Cutaneous melanoma. Lancet 2023:S0140-6736(23)00821-8. [PMID: 37499671 DOI: 10.1016/s0140-6736(23)00821-8] [Citation(s) in RCA: 95] [Impact Index Per Article: 95.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/17/2023] [Accepted: 04/19/2023] [Indexed: 07/29/2023]
Abstract
Cutaneous melanoma is a malignancy arising from melanocytes of the skin. Incidence rates are rising, particularly in White populations. Cutaneous melanoma is typically driven by exposure to ultraviolet radiation from natural sunlight and indoor tanning, although there are several subtypes that are not related to ultraviolet radiation exposure. Primary melanomas are often darkly pigmented, but can be amelanotic, with diagnosis based on a combination of clinical and histopathological findings. Primary melanoma is treated with wide excision, with margins determined by tumour thickness. Further treatment depends on the disease stage (following histopathological examination and, where appropriate, sentinel lymph node biopsy) and can include surgery, checkpoint immunotherapy, targeted therapy, or radiotherapy. Systemic drug therapies are recommended as an adjunct to surgery in patients with resectable locoregional metastases and are the mainstay of treatment in advanced melanoma. Management of advanced melanoma is complex, particularly in those with cerebral metastasis. Multidisciplinary care is essential. Systemic drug therapies, particularly immune checkpoint inhibitors, have substantially increased melanoma survival following a series of landmark approvals from 2011 onward.
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Affiliation(s)
- Georgina V Long
- Melanoma Institute Australia, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia; Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia.
| | - Susan M Swetter
- Department of Dermatology and Pigmented Lesion and Melanoma Program, Stanford University Medical Center and Cancer Institute, Stanford, CA, USA; Department of Dermatology, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Alexander M Menzies
- Melanoma Institute Australia, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia; Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology and Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard A Scolyer
- Melanoma Institute Australia, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; NSW Health Pathology, Sydney, NSW, Australia
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13
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Tripathi R, Larson K, Fowler G, Han D, Vetto JT, Bordeaux JS, Yu WY. A Clinical Decision Tool to Calculate Pretest Probability of Sentinel Lymph Node Metastasis in Primary Cutaneous Melanoma. Ann Surg Oncol 2023; 30:4321-4328. [PMID: 36840860 PMCID: PMC9961302 DOI: 10.1245/s10434-023-13220-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/24/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Although sentinel lymph node biopsy (SLNB) status is a strong prognostic indicator for cutaneous melanoma, unnecessary SLNBs have substantial cost and morbidity burden. OBJECTIVE This study was designed to develop, validate, and present a personalized, clinical, decision-making tool using nationally representative data with clinically actionable probability thresholds (Expected Lymphatic Metastasis Outcome [ELMO]). METHODS Data from the Surveillance, Epidemiology, and End Results (SEER) Registry from 2000 to 2017 and the National Cancer Database (NCDB) from 2004 to 2015 were used to develop and internally validate a logistic ridge regression predictive model for SLNB positivity. External validation was done with 1568 patients at a large tertiary referral center. RESULTS The development cohort included 134,809 patients, and the internal validation cohort included 38,518 patients. ELMO (AUC 0.85) resulted in a 29.54% SLNB reduction rate and greater sensitivity in predicting SLNB status for T1b, T2a, and T2b tumors than previous models. In external validation, ELMO had an accuracy of 0.7586 and AUC of 0.7218. Limitations of this study are potential miscoding, unaccounted confounders, and effect modification. CONCLUSIONS ELMO ( https://melanoma-sentinel.herokuapp.com/ ) has been developed and validated (internally and externally) by using the largest publicly available dataset of melanoma patients and was found to have high accuracy compared with other published models and gene expression tests. Individualized risk estimates for SLNB positivity are critical in facilitating thorough decision-making for healthcare providers and patients with melanoma.
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Affiliation(s)
- Raghav Tripathi
- Department of Dermatology, Johns Hopkins Medicine, Baltimore, MD, USA.
| | | | - Graham Fowler
- Department of Surgery, Oregon Health and Science University, Portland, OR, USA
| | - Dale Han
- Department of Surgery, Oregon Health and Science University, Portland, OR, USA
| | - John T Vetto
- Department of Surgery, Oregon Health and Science University, Portland, OR, USA
| | - Jeremy S Bordeaux
- Department of Dermatology, University Hospitals Cleveland Medical Center/Case Western Reserve University, Cleveland, OH, USA
| | - Wesley Y Yu
- Department of Dermatology, Oregon Health and Science University, Portland, OR, USA
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14
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Hosein S, Drebin HM, Kurtansky NR, Bagge RO, Coit DG, Bartlett EK, Marchetti MA. Are the MIA and MSKCC nomograms useful in selecting patients with melanoma for sentinel lymph node biopsy? J Surg Oncol 2023; 127:1167-1173. [PMID: 36905337 PMCID: PMC10147582 DOI: 10.1002/jso.27231] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 02/26/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND AND METHODS The Melanoma Institute of Australia (MIA) and Memorial Sloan Kettering Cancer Center (MSKCC) nomograms were developed to help guide sentinel lymph node biopsy (SLNB) decisions. Although statistically validated, whether these prediction models provide clinical benefit at National Comprehensive Cancer Network guideline-endorsed thresholds is unknown. We conducted a net benefit analysis to quantify the clinical utility of these nomograms at risk thresholds of 5%-10% compared to the alternative strategy of biopsying all patients. External validation data for MIA and MSKCC nomograms were extracted from respective published studies. RESULTS The MIA nomogram provided added net benefit at a risk threshold of 9% but net harm at 5%-8% and 10%. The MSKCC nomogram provided added net benefit at risk thresholds of 5% and 9%-10% but net harm at 6%-8%. When present, the magnitude of net benefit was small (1-3 net avoidable biopsies per 100 patients). CONCLUSION Neither model consistently provided added net benefit compared to performing SLNB for all patients. DISCUSSION Based on published data, use of the MIA or MSKCC nomograms as decision-making tools for SLNB at risk thresholds of 5%-10% does not clearly provide clinical benefit to patients.
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Affiliation(s)
- Sharif Hosein
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Harrison M. Drebin
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Nicholas R. Kurtansky
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Roger Olofsson Bagge
- Department of Surgery, Sahlgrenska University Hospital, Sweden
- Sahlgrenska Center for Cancer Research, Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Sweden
| | - Daniel G. Coit
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Edmund K. Bartlett
- Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Michael A. Marchetti
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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15
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Kashani-Sabet M, Leachman SA, Stein JA, Arbiser JL, Berry EG, Celebi JT, Curiel-Lewandrowski C, Ferris LK, Grant-Kels JM, Grossman D, Kulkarni RP, Marchetti MA, Nelson KC, Polsky D, Seiverling EV, Swetter SM, Tsao H, Verdieck-Devlaeminck A, Wei ML, Bar A, Bartlett EK, Bolognia JL, Bowles TL, Cha KB, Chu EY, Hartman RI, Hawryluk EB, Jampel RM, Karapetyan L, Kheterpal M, Lawson DH, Leming PD, Liebman TN, Ming ME, Sahni D, Savory SA, Shaikh SS, Sober AJ, Sondak VK, Spaccarelli N, Usatine RP, Venna S, Kirkwood JM. Early Detection and Prognostic Assessment of Cutaneous Melanoma: Consensus on Optimal Practice and the Role of Gene Expression Profile Testing. JAMA Dermatol 2023; 159:545-553. [PMID: 36920356 PMCID: PMC11225588 DOI: 10.1001/jamadermatol.2023.0127] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Importance Therapy for advanced melanoma has transformed during the past decade, but early detection and prognostic assessment of cutaneous melanoma (CM) remain paramount goals. Best practices for screening and use of pigmented lesion evaluation tools and gene expression profile (GEP) testing in CM remain to be defined. Objective To provide consensus recommendations on optimal screening practices and prebiopsy diagnostic, postbiopsy diagnostic, and prognostic assessment of CM. Evidence Review Case scenarios were interrogated using a modified Delphi consensus method. Melanoma panelists (n = 60) were invited to vote on hypothetical scenarios via an emailed survey (n = 42), which was followed by a consensus conference (n = 51) that reviewed the literature and the rationale for survey answers. Panelists participated in a follow-up survey for final recommendations on the scenarios (n = 45). Findings The panelists reached consensus (≥70% agreement) in supporting a risk-stratified approach to melanoma screening in clinical settings and public screening events, screening personnel recommendations (self/partner, primary care provider, general dermatologist, and pigmented lesion expert), screening intervals, and acceptable appointment wait times. Participants also reached consensus that visual and dermoscopic examination are sufficient for evaluation and follow-up of melanocytic skin lesions deemed innocuous. The panelists reached consensus on interpreting reflectance confocal microscopy and some but not all results from epidermal tape stripping, but they did not reach consensus on use of certain pigmented lesion evaluation tools, such as electrical impedance spectroscopy. Regarding GEP scores, the panelists reached consensus that a low-risk prognostic GEP score should not outweigh concerning histologic features when selecting patients to undergo sentinel lymph node biopsy but did not reach consensus on imaging recommendations in the setting of a high-risk prognostic GEP score and low-risk histology and/or negative nodal status. Conclusions and Relevance For this consensus statement, panelists reached consensus on aspects of a risk-stratified approach to melanoma screening and follow-up as well as use of visual examination and dermoscopy. These findings support a practical approach to diagnosing and evaluating CM. Panelists did not reach consensus on a clearly defined role for GEP testing in clinical decision-making, citing the need for additional studies to establish the clinical use of existing GEP assays.
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Affiliation(s)
- Mohammed Kashani-Sabet
- Center for Melanoma Research and Treatment, California Pacific Medical Center Research Institute, San Francisco
| | - Sancy A Leachman
- Departments of Dermatology and Family Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Jennifer A Stein
- Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
| | - Jack L Arbiser
- Department of Dermatology, Emory University School of Medicine, Winship Cancer Institute, Atlanta Veterans Administration Health Center, Atlanta, Georgia
| | - Elizabeth G Berry
- Departments of Dermatology and Family Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Julide T Celebi
- Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
| | - Clara Curiel-Lewandrowski
- UA Cancer Center Skin Cancer Institute, Division of Dermatology, College of Medicine, University of Arizona, Tucson
| | - Laura K Ferris
- Departments of Dermatology and Medicine, University of Pittsburgh, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Jane M Grant-Kels
- Department of Dermatology, University of Connecticut School of Medicine, Farmington
- Department of Dermatology, University of Florida College of Medicine, Gainesville
| | | | - Rajan P Kulkarni
- Departments of Dermatology and Family Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Michael A Marchetti
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kelly C Nelson
- Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston
| | - David Polsky
- Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
| | | | - Susan M Swetter
- Department of Dermatology/Pigmented Lesion and Melanoma Program, Stanford University Medical Center and Cancer Institute, Palo Alto, California
- Dermatology Service, VA Palo Alto Health Care System, Palo Alto, California
| | - Hensin Tsao
- Department of Dermatology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | | | - Maria L Wei
- Dermatology Department, University of California, San Francisco
- Dermatology Service, San Francisco VA Health Care System, San Francisco, California
| | - Anna Bar
- Departments of Dermatology and Family Medicine, Knight Cancer Institute, Oregon Health & Science University, Portland
| | - Edmund K Bartlett
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jean L Bolognia
- Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut
| | | | - Kelly B Cha
- Department of Dermatology, Michigan Medicine, Ann Arbor
| | - Emily Y Chu
- Department of Dermatology, University of Pennsylvania, Philadelphia
| | - Rebecca I Hartman
- Department of Dermatology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Elena B Hawryluk
- Department of Dermatology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Risa M Jampel
- Department of Dermatology, University of Maryland, Baltimore, Maryland
| | - Lilit Karapetyan
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Meenal Kheterpal
- Department of Dermatology, Duke University, Durham, North Carolina
| | - David H Lawson
- Department of Dermatology, Emory University School of Medicine, Winship Cancer Institute, Atlanta Veterans Administration Health Center, Atlanta, Georgia
| | | | - Tracey N Liebman
- Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
| | - Michael E Ming
- Department of Dermatology, University of Pennsylvania, Philadelphia
| | | | - Stephanie A Savory
- Department of Dermatology, University of Texas Southwestern Medical Center, Dallas
| | - Saba S Shaikh
- Department of Hematology/Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Arthur J Sober
- Department of Dermatology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Vernon K Sondak
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | | | | | - Suraj Venna
- Inova Schar Cancer Institute, Inova Fairfax Hospital, University of Virginia School of Medicine, Charlottesville
| | - John M Kirkwood
- Departments of Dermatology and Medicine, University of Pittsburgh, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
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16
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Geller AC, Weinstock MA. Public Health and Diagnostic Approaches to Risk Stratification for Melanoma. JAMA Dermatol 2023; 159:475-477. [PMID: 36920362 DOI: 10.1001/jamadermatol.2023.0073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Affiliation(s)
- Alan C Geller
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Martin A Weinstock
- The Providence VA Health Care System, Providence, Rhode Island.,Departments of Dermatology and Epidemiology, Brown University, Providence, Rhode Island
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17
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van Akkooi ACJ, Schadendorf D, Eggermont AMM. Alternatives and reduced need for sentinel lymph node biopsy (SLNB) staging for melanoma. Eur J Cancer 2023; 182:163-169. [PMID: 36681612 DOI: 10.1016/j.ejca.2022.12.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 12/31/2022]
Abstract
Sentinel lymph node biopsy (SLNB) has been introduced in the 1990s to identify patients who might benefit from completion lymph node dissection. Neither SLNB nor CLND improved survival, but SLNB staging did provide the best staging, above Breslow thickness and ulceration. The SLN status and SLN tumour burden were used in all trials until date looking at modern adjuvant systemic therapy with immune checkpoint inhibition (ICI) or targeted therapies (TT). Adjuvant ICI and TT are shifting towards stage II melanoma. The question is whether there is still role for SLNB in melanoma, in this day and age, and if so, how does the future look for SLNB staging? The SLN status and SLN tumour burden might be useful for a consultation to discuss the number needed to treat in a risk/benefit discussion. For stage IIB/C patients, it seems likely, however, that patients will forego a nuclear scan followed by the risk of surgical intervention and morbidity associated with SLNB if they opt to receive adjuvant therapy regardless of the SLNB result. For stage I/IIA, it is still required to detect high-risk patients who might benefit from adjuvant therapy. However, biomarkers are emerging, such as gene expression profilers (GEP), immunohistological signatures and liquid biopsies with ctDNA. There still is a role for SLNB staging in melanoma today, but we expect that the availability of therapeutic option independent of SLNB status as well as emergence of validated biomarkers to predict risk will reduce the need for SLNB staging in the upcoming decade to the point it will no longer be used.
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Affiliation(s)
- Alexander C J van Akkooi
- Melanoma Institute Australia, Sydney, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Royal Prince Alfred Hospital, Sydney, Australia.
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany; German Cancer DKTK Consortium, Partner Site, Germany; Research Center One Health Ruhr, Research Alliance Ruhr, University Duisburg-Essen, Duisburg, Germany
| | - Alexander M M Eggermont
- Comprehensive Cancer Center München, Technical University München & Ludwig Maximiliaan University, München, Germany; University Medical Center Utrecht & Princess Maxima Center, Utrecht, the Netherlands
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18
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Andea AA. Molecular testing in melanoma for the surgical pathologist. Pathology 2023; 55:245-257. [PMID: 36653236 DOI: 10.1016/j.pathol.2022.12.343] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
The diagnostic work-up of melanocytic tumours has undergone significant changes in the last years following the exponential growth of molecular assays. For the practising pathologist it is often difficult to sort through the multitude of different tests that are currently available for clinical use. The molecular tests used in melanocytic pathology can be broadly divided into four categories: (1) tests that predict response to systemic therapy in melanoma; (2) tests that predict prognosis in melanoma; (3) tests useful in determining the type or class of melanocytic tumour; and (4) tests useful in the differential diagnosis of naevus versus melanoma (primarily used as an aid in the diagnosis of histologically ambiguous melanocytic lesions). This review will present an updated synopsis of major molecular ancillary tests used in clinical practice.
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Affiliation(s)
- Aleodor A Andea
- Departments of Pathology and Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
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19
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Pressete CG, Viegas FPD, Campos TG, Caixeta ES, Hanemann JAC, Ferreira-Silva GÁ, Zavan B, Aissa AF, Miyazawa M, Viegas-Jr C, Ionta M. Piperine-Chlorogenic Acid Hybrid Inhibits the Proliferation of the SK-MEL-147 Melanoma Cells by Modulating Mitotic Kinases. Pharmaceuticals (Basel) 2023; 16:145. [PMID: 37259298 PMCID: PMC9965075 DOI: 10.3390/ph16020145] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/31/2022] [Accepted: 01/15/2023] [Indexed: 07/30/2023] Open
Abstract
Melanoma is considered the most aggressive form of skin cancer, showing high metastatic potential and persistent high mortality rates despite the introduction of immunotherapy and targeted therapies. Thus, it is important to identify new drug candidates for melanoma. The design of hybrid molecules, with different pharmacophore fragments combined in the same scaffold, is an interesting strategy for obtaining new multi-target and more effective anticancer drugs. We designed nine hybrid compounds bearing piperine and chlorogenic acid pharmacophoric groups and evaluated their antitumoral potential on melanoma cells with distinct mutational profiles SK-MEL-147, CHL-1 and WM1366. We identified the compound named PQM-277 (3a) to be the most cytotoxic one, inhibiting mitosis progression and promoting an accumulation of cells in pro-metaphase and metaphase by altering the expression of genes that govern G2/M transition and mitosis onset. Compound 3a downregulated FOXM1, CCNB1, CDK1, AURKA, AURKB, and PLK1, and upregulated CDKN1A. Molecular docking showed that 3a could interact with the CUL1-RBX1 complex, which activity is necessary to trigger molecular events essential for FOXM1 transactivation and, in turn, G2/M gene expression. In addition, compound 3a effectively induced apoptosis by increasing BAX/BCL2 ratio. Our findings demonstrate that 3a is an important antitumor candidate prototype and support further investigations to evaluate its potential for melanoma treatment, especially for refractory cases to BRAF/MEK inhibitors.
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Affiliation(s)
| | - Flávia Pereira Dias Viegas
- Institute of Chemistry, Laboratory of Research in Medicinal Chemistry, Federal University of Alfenas, Alfenas 37133-840, MG, Brazil
| | - Thâmara Gaspar Campos
- Institute of Chemistry, Laboratory of Research in Medicinal Chemistry, Federal University of Alfenas, Alfenas 37133-840, MG, Brazil
| | - Ester Siqueira Caixeta
- Institute of Biomedical Sciences, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
| | - João Adolfo Costa Hanemann
- Department of Clinic and Surgery, School of Dentistry, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
| | | | - Bruno Zavan
- Institute of Biomedical Sciences, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
| | - Alexandre Ferro Aissa
- Institute of Biomedical Sciences, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
| | - Marta Miyazawa
- Department of Clinic and Surgery, School of Dentistry, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
| | - Claudio Viegas-Jr
- Institute of Chemistry, Laboratory of Research in Medicinal Chemistry, Federal University of Alfenas, Alfenas 37133-840, MG, Brazil
| | - Marisa Ionta
- Institute of Biomedical Sciences, Federal University of Alfenas, Alfenas 37130-001, MG, Brazil
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20
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Nataren N, Yamada M, Prow T. Molecular Skin Cancer Diagnosis: Promise and Limitations. J Mol Diagn 2023; 25:17-35. [PMID: 36243291 DOI: 10.1016/j.jmoldx.2022.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 11/22/2022] Open
Abstract
Skin cancer is a significant and increasing global health burden. Although the current diagnostic workflow is robust and able to provide clinically actionable results, it is subject to notable limitations. The training and expertise required for accurate diagnoses using conventional skin cancer diagnostics are significant, and patient access to this workflow can be limited by geographic location or unforeseen events, such as coronavirus disease 2019 (COVID-19). Molecular biomarkers have transformed diagnostics and treatment delivery in oncology. With rapid advancements in molecular biology techniques, understanding of the underlying molecular mechanism of cancer pathologies has deepened, yielding biomarkers that can be used to monitor the course of malignant diseases. Herein, commercially available, clinically validated, and emerging skin cancer molecular biomarkers are reviewed. The qualities of an ideal molecular biomarker are defined. The potential benefits and limitations of applying molecular biomarker testing over the course of skin cancer from susceptibility to treatment are explored, with a view to outlining a future model of molecular biomarker skin cancer diagnostics.
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Affiliation(s)
- Nathalie Nataren
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Miko Yamada
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Tarl Prow
- Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia; Skin Research Centre, York Biomedical Research Institute, Hull York Medical School, University of York, York, United Kingdom.
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21
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Garbe C, Keim U, Amaral T, Berking C, Eigentler TK, Flatz L, Gesierich A, Leiter U, Stadler R, Sunderkötter C, Tüting T, Utikal J, Wollina U, Zimmer L, Zouboulis CC, Ascierto PA, Eggermont AM, Grob JJ, Hauschild A, Sekulovic LK, Long GV, Luke JJ, Michielin O, Peris K, Schadendorf D, Kirkwood JM, Lorigan PC. Prognosis of Patients With Primary Melanoma Stage I and II According to American Joint Committee on Cancer Version 8 Validated in Two Independent Cohorts: Implications for Adjuvant Treatment. J Clin Oncol 2022; 40:3741-3749. [PMID: 35709414 PMCID: PMC9649277 DOI: 10.1200/jco.22.00202] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/13/2022] [Accepted: 05/12/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE The first randomized trial of adjuvant treatment with checkpoint inhibitor in stage II melanoma reported a significant reduction in risk of tumor recurrence. This study evaluates two independent data sets to further document survival probabilities for patients with primary stage I and II melanoma. PATIENTS AND METHODS The Central Malignant Melanoma Registry (CMMR) in Germany evaluated 17,544 patients with a primary diagnosis of stage I and II melanoma from 2000 to 2015. The exploratory cohort consisted of 6,725 patients from the Center for Dermato-Oncology at the University of Tübingen, and the confirmatory cohort consisted of 10,819 patients from 11 other German centers. Survival outcomes were compared with published American Joint Committee on Cancer version 8 (AJCCv8) stage I and II survival data. RESULTS For the two CMMR cohorts in stage IA compared with the AJCCv8 cohort, melanoma-specific survival rates at 10 years were 95.1%-95.6% versus 98%; 89.7%-90.9% versus 94% in stage IB; 80.7%-83.1% versus 88% in stage IIA; 72.0%-79.9% versus 82% in stage IIB; and 57.6%-64.7% versus 75% in stage IIC, respectively. Recurrence rates were approximately twice as high as melanoma-specific mortality rates in stages IA-IIA. CONCLUSION The melanoma-specific survival rates in the two CMMR cohorts across stages I and II are less favorable than published in AJCCv8. This has important implications for the consideration of adjuvant treatment in this population.
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Affiliation(s)
- Claus Garbe
- Department of Dermatology, Center for Dermatooncology, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Ulrike Keim
- Department of Dermatology, Center for Dermatooncology, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Teresa Amaral
- Department of Dermatology, Center for Dermatooncology, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Carola Berking
- Department of Dermatology, University Hospital Erlangen, Erlangen, Germany
| | - Thomas K. Eigentler
- Department of Dermatology, Skin Cancer Center, Charité Berlin, Berlin, Germany
| | - Lukas Flatz
- Department of Dermatology, Center for Dermatooncology, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Anja Gesierich
- Department of Dermatology, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Ulrike Leiter
- Department of Dermatology, Center for Dermatooncology, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Rudolf Stadler
- Department of Dermatology, Johannes Wesling Hospital Minden, Ruhr-University of Bochum, Minden, Germany
| | - Cord Sunderkötter
- Department of Dermatology and Venereology, University Hospital Halle, Halle, Germany
| | - Thomas Tüting
- Department of Dermatology, University Hospital Magdeburg, Magdeburg, Germany
| | - Jochen Utikal
- Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany
| | - Uwe Wollina
- Department of Dermatology and Allergology, Municipal Hospital of Dresden, Dresden, Germany
| | - Lisa Zimmer
- Department of Dermatology, University Hospital Essen, Essen, Germany
- German Cancer Consortium, Heidelberg Partner Site Essen, Essen, Germany
| | - Christos C. Zouboulis
- Departments of Dermatology, Venereology, Allergology and Immunology, Dessau Medical Center, Brandenburg Medical School Theodor Fontane and Faculty of Health Sciences Brandenburg, Dessau, Germany
| | - Paolo A. Ascierto
- Unit of Melanoma, Cancer Immunotherapy and Innovative Therapy, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, Italy
| | - Alexander M.M. Eggermont
- Princess Máxima Center, Utrecht, the Netherlands
- University Medical Center Utrecht, Utrecht, the Netherlands
- Comprehensive Cancer Center Munich, Munich, Germany
| | - Jean-Jacques Grob
- Dermatology and Skin Cancer Department, APHM Timone, Aix-Marseille University, Marseille, France
| | - Axel Hauschild
- Department of Dermatology, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany
| | | | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, Mater Hospital, Sydney, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Jason J. Luke
- Cancer Immunotherapeutic Center of UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA
| | - Olivier Michielin
- Department of Medical Oncology, Lausanne University Hospital, Lausanne, Switzerland
| | - Ketty Peris
- Institute of Dermatology, Catholic University of the Sacred Heart, Rome, Italy
- IRCCS, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany
- German Cancer Consortium, Heidelberg Partner Site Essen, Essen, Germany
| | - John M. Kirkwood
- Melanoma and Skin Cancer Program, Hillman Cancer Research Pavilion Laboratory, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Paul C. Lorigan
- Division of Cancer Sciences, The Christie NHS Foundation Trust, The University of Manchester, Manchester, United Kingdom
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22
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LeQuang JA. Using Gene Expression Profiling to Personalize Skin Cancer Management. THE JOURNAL OF CLINICAL AND AESTHETIC DERMATOLOGY 2022; 15:S3-S15. [PMID: 36405422 PMCID: PMC9664966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Risk-stratification of cancer, traditionally performed through staging, directs optimal disease management decisions with the result of improved patient outcomes. Many forms of cutaneous cancer have overall excellent survival rates, but conventional staging methods are imperfect in identifying high-risk patients. Gene expression profiling (GEP) is a clinically available, objective metric that can be used in conjunction with traditional clinicopathological staging to help clinicians stratify risk in patients with skin cancer, even in those who lack traditional risk markers. For patients with melanoma, the 31-GEP test provides personalized prognostic information that can guide risk-appropriate clinical management and surveillance decisions. The i31-GEP integrates 31-GEP results with clinicopathological features to provide a risk of recurrence (i31-GEP for ROR) and likelihood of having a positive sentinel lymph node biopsy (SLNB) (i31-GEP for SLNB) for patients with melanoma. For patients with cutaneous squamous cell carcinoma who have at least one risk factor, the 40-GEP test allows for better risk stratification by identifying the high-risk patients who are most likely to develop metastasis. These tests can be easily integrated into clinical practice to help guide treatment choices.
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Affiliation(s)
- Jo Ann LeQuang
- Ms. LeQuang is Owner of LeQ Medical in Angleton, Texas; Director of Scientific Communications at NEMA Research, Inc., in Naples, Florida; and Founding Director of No Baby Blisters in Colorado Springs, Colorado
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23
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Kitrell BM, Blue ED, Siller A, Lobl MB, Evans TD, Whitley MJ, Wysong A. Gene Expression Profiles in Cutaneous Oncology. Dermatol Clin 2022; 41:89-99. [DOI: 10.1016/j.det.2022.07.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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24
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Samlowski W, Silver MA, Hohlbauch A, Zhang S, Scherrer E, Fukunaga-Kalabis M, Krepler C, Jiang R. Real-world clinical outcomes of patients with stage IIB or IIC cutaneous melanoma treated at US community oncology clinics. Future Oncol 2022; 18:3755-3767. [PMID: 36346064 DOI: 10.2217/fon-2022-0508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Aim: To describe clinical outcomes after complete surgical resection of stage IIB and IIC melanoma. Methods: Adult patients (n = 567) with stage IIB or IIC cutaneous melanoma initially diagnosed and completely resected from 2008-2017 were identified using data from a US community-based oncology network. Results: Median patient follow-up was 38.8 months from melanoma resection to death, last visit or data cut-off (31 December 2020). For stage IIB (n = 375; 66%), Kaplan-Meier median real-world recurrence-free survival (rwRFS) was 58.6 months (95% CI, 48.6-69.5). For stage IIC (n = 192; 34%), median rwRFS was 29.9 months (24.9-45.5). Overall, 44% of patients had melanoma recurrence or died; 30% developed distant metastases. Conclusion: Melanoma recurrence was common, highlighting the need for effective adjuvant therapy for stage IIB and IIC melanoma.
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Affiliation(s)
- Wolfram Samlowski
- Comprehensive Cancer Centers of Nevada, Las Vegas, NV 89148 USA/The US Oncology Network.,University of Nevada School of Medicine, Reno, NV 89557 USA.,University of Nevada Las Vegas, Las Vegas, NV 89102, USA
| | | | | | - Shujing Zhang
- Biostatistics & Research Decision Sciences, Merck & Co., Inc., Rahway, NJ 07065, USA
| | - Emilie Scherrer
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., Rahway, NJ 07065, USA
| | | | | | - Ruixuan Jiang
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., Rahway, NJ 07065, USA
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25
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Cohen PR, Kurzrock R. Dermatologic Disease-Directed Targeted Therapy (D 3T 2): The Application of Biomarker-Based Precision Medicine for the Personalized Treatment of Skin Conditions-Precision Dermatology. Dermatol Ther (Heidelb) 2022; 12:2249-2271. [PMID: 36121579 PMCID: PMC9515268 DOI: 10.1007/s13555-022-00801-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/23/2022] [Indexed: 11/03/2022] Open
Abstract
Precision dermatology uses individualized dermatologic disease-directed targeted therapy (D3T2) for the management of dermatoses and for the evaluation and therapy of cutaneous malignancies. Personalized/precision strategies are based on biomarkers that are most frequently derived from tissue transcriptomic expression or genomic sequencing or from circulating cytokines. For instance, the pathologic diagnosis of a pigmented lesion and determining the prognosis of a malignant melanocytic neoplasm can be enhanced by genomic/transcriptomic analysis. In addition to biopsy, innovative techniques have been developed for obtaining transcriptomes in skin conditions; as an example, patches can be applied to a psoriasis plaque for a few minutes to capture the epidermis/upper dermis transcriptome. Atopic dermatitis and prurigo nodularis may also be candidate conditions for precision dermatology. Precision dermatology has a role in managing melanoma and nonmelanoma skin cancers and rare cutaneous tumors-such as perivascular epithelioid cell tumor (PEComa)-that can originate in or metastasize to the skin. For instance, advanced/metastatic basal cell carcinomas can be treated with Hedgehog inhibitors (vismodegib and sonidegib) targeting the smoothened (SMO) or patched 1 (PTCH1) gene alterations that are a hallmark of these cancers and activate the Hedgehog pathway. Advanced/metastatic basal and cutaneous squamous cell cancers often have a high tumor mutational burden (which predicts immunotherapy response); immune checkpoint blockade with cemiplimab, a programmed cell death protein 1 (PD1) inhibitor, is now approved for these malignancies. Gene expression profiling of primary cutaneous squamous cell carcinoma can identify those individuals at high risk for subsequent metastases. In the realm of rare neoplasms, PEComas-which can originate in the skin, albeit uncommonly-have tuberous sclerosis complex 1 (TSC1)/tuberous sclerosis complex 2 (TSC2) gene alterations, which activate mammalian target of rapamycin (mTOR) signaling, and can be suppressed by nab-sirolimus, now approved for this condition. In summary, precision dermatologic techniques/strategies are an important emerging approach for evaluation and management of skin disorders and cutaneous neoplasms, and may serve as a paradigm for the application of precision medicine beyond dermatology.
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Affiliation(s)
- Philip R Cohen
- Department of Dermatology, Davis Medical Center, University of California, Sacramento, CA, USA. .,Touro University California College of Osteopathic Medicine, Vallejo, CA, USA. .,University of California, 10991 Twinleaf Court, San Diego, CA, 92131, USA.
| | - Razelle Kurzrock
- Department of Medicine, Medical College of Wisconsin Cancer Center and Genome Sciences and Precision Medicine Center, Milwaukee, WI, USA.,Worldwide Innovative Network (WIN) for Personalized Cancer Therapy, Villejuif, France
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26
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Ascierto PA, Agarwala SS, Blank C, Caracò C, Carvajal RD, Ernstoff MS, Ferrone S, Fox BA, Gajewski TF, Garbe C, Grob JJ, Hamid O, Krogsgaard M, Lo RS, Lund AW, Madonna G, Michielin O, Neyns B, Osman I, Peters S, Poulikakos PI, Quezada SA, Reinfeld B, Zitvogel L, Puzanov I, Thurin M. Perspectives in Melanoma: meeting report from the Melanoma Bridge (December 2nd - 4th, 2021, Italy). J Transl Med 2022; 20:391. [PMID: 36058945 PMCID: PMC9440864 DOI: 10.1186/s12967-022-03592-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/15/2022] [Indexed: 01/18/2023] Open
Abstract
Advances in immune checkpoint and combination therapy have led to improvement in overall survival for patients with advanced melanoma. Improved understanding of the tumor, tumor microenvironment and tumor immune-evasion mechanisms has resulted in new approaches to targeting and harnessing the host immune response. Combination modalities with other immunotherapy agents, chemotherapy, radiotherapy, electrochemotherapy are also being explored to overcome resistance and to potentiate the immune response. In addition, novel approaches such as adoptive cell therapy, oncogenic viruses, vaccines and different strategies of drug administration including sequential, or combination treatment are being tested. Despite the progress in diagnosis of melanocytic lesions, correct classification of patients, selection of appropriate adjuvant and systemic theràapies, and prediction of response to therapy remain real challenges in melanoma. Improved understanding of the tumor microenvironment, tumor immunity and response to therapy has prompted extensive translational and clinical research in melanoma. There is a growing evidence that genomic and immune features of pre-treatment tumor biopsies may correlate with response in patients with melanoma and other cancers, but they have yet to be fully characterized and implemented clinically. Development of novel biomarker platforms may help to improve diagnostics and predictive accuracy for selection of patients for specific treatment. Overall, the future research efforts in melanoma therapeutics and translational research should focus on several aspects including: (a) developing robust biomarkers to predict efficacy of therapeutic modalities to guide clinical decision-making and optimize treatment regimens, (b) identifying mechanisms of therapeutic resistance to immune checkpoint inhibitors that are potentially actionable, (c) identifying biomarkers to predict therapy-induced adverse events, and (d) studying mechanism of actions of therapeutic agents and developing algorithms to optimize combination treatments. During the Melanoma Bridge meeting (December 2nd-4th, 2021, Naples, Italy) discussions focused on the currently approved systemic and local therapies for advanced melanoma and discussed novel biomarker strategies and advances in precision medicine as well as the impact of COVID-19 pandemic on management of melanoma patients.
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Affiliation(s)
- Paolo A Ascierto
- Department of Melanoma, Cancer Immunotherapy and Innovative Therapy, Istituto Nazionale Tumor IRCCS "Fondazione G. Pascale", Naples, Italy.
| | - Sanjiv S Agarwala
- Hematology & Oncology, Temple University and Cancer Expert Now, Bethlehem, PA, USA
| | | | - Corrado Caracò
- Division of Surgery of Melanoma and Skin Cancer, Istituto Nazionale Tumori "Fondazione Pascale" IRCCS, Naples, Italy
| | - Richard D Carvajal
- Division of Hematology and Oncology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Marc S Ernstoff
- Developmental Therapeutics Program, Division of Cancer Therapy & Diagnosis, NCI, Bethesda, NIHMD, USA
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Bernard A Fox
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Research Center, Providence Cancer Institute, Portland, OR, USA
| | - Thomas F Gajewski
- Department of Pathology and Department of Medicine (Section of Hematology/Oncology), University of Chicago, Chicago, IL, USA
| | - Claus Garbe
- Center for Dermato-Oncology, University-Department of Dermatology, Tuebingen, Germany
| | - Jean-Jacques Grob
- Dermatology Department, Hopital de La Timone, Aix-Marseille, Marseille, France
| | - Omid Hamid
- Medical Oncology, The Angeles Clinic and Research Institute, a Cedar-Sinai Affiliate, Los Angeles, CA, USA
| | - Michelle Krogsgaard
- New York Grossman School of Medicine, New York University Langone, New York, NY, USA
| | - Roger S Lo
- Jonsson Comprehensive Cancer Center David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Amanda W Lund
- Ronald O. Perelman Department of Dermatology, Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Gabriele Madonna
- Department of Melanoma, Cancer Immunotherapy and Innovative Therapy, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", Naples, Italy
| | - Olivier Michielin
- Precision Oncology Center and Melanoma Clinic, Oncology Department, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Bart Neyns
- Medical Oncology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Iman Osman
- New York University Langone Medical Center, New York, NY, USA
| | - Solange Peters
- UNIL, Medical Oncology Department European Thoracic Oncology Platform (ETOP), Specialized Thoracic Tumor Consultation, Oncology Department UNIL CHUV Thoracic Tumor Center, Lausanne University ESMO President, Scientific Coordinator, Lausanne, Switzerland
| | - Poulikos I Poulikakos
- Department of Oncological Sciences, Department of Dermatology Icahn School of Medicine at Mount Sinai, The Tisch Cancer Institute, New York, NY, USA
| | - Sergio A Quezada
- Cancer Immunology Unit, Research Department of Hematology, University College London Cancer Institute, London, UK
| | - Bradley Reinfeld
- Department of Medicine, Department of Medicine, Division of Hematology/Oncology Vanderbilt University Medical Center (VUMC), Graduate Program in Cancer Biology, Vanderbilt University, Nashville, TN, USA
| | - Laurence Zitvogel
- Tumour Immunology and Immunotherapy of Cancer, European Academy of Tumor Immunology, Gustave Roussy, University Paris Saclay, INSERM, Villejuif Grand-Paris, France
| | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Magdalena Thurin
- Cancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, NCI, Rockville, NIHMD, USA
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27
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Bartlett EK, Grossman D, Swetter SM, Leachman SA, Curiel-Lewandrowski C, Dusza SW, Gershenwald JE, Kirkwood JM, Tin AL, Vickers AJ, Marchetti MA. Clinically Significant Risk Thresholds in the Management of Primary Cutaneous Melanoma: A Survey of Melanoma Experts. Ann Surg Oncol 2022; 29:5948-5956. [PMID: 35583689 PMCID: PMC10091118 DOI: 10.1245/s10434-022-11869-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/20/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Risk-based thresholds to guide management are undefined in the treatment of primary cutaneous melanoma but are essential to advance the field from traditional stage-based treatment to more individualized care. METHODS To estimate treatment risk thresholds, hypothetical clinical melanoma scenarios were developed and a stratified random sample was distributed to expert melanoma clinicians via an anonymous web-based survey. Scenarios provided a defined 5-year risk of recurrence and asked for recommendations regarding clinical follow-up, imaging, and adjuvant therapy. Marginal probability of response across the spectrum of 5-year recurrence risk was estimated. The risk at which 50% of respondents recommended a treatment was defined as the risk threshold. RESULTS The overall response rate was 56% (89/159). Three separate multivariable models were constructed to estimate the recommendations for clinical follow-up more than twice/year, for surveillance cross-sectional imaging at least once/year, and for adjuvant therapy. A 36% 5-year risk of recurrence was identified as the threshold for recommending clinical follow-up more than twice/year. The thresholds for recommending cross-sectional imaging and adjuvant therapy were 30 and 59%, respectively. Thresholds varied with the age of the hypothetical patient: at younger ages they were constant but increased rapidly at ages 60 years and above. CONCLUSIONS To our knowledge, these data provide the first estimates of clinically significant treatment thresholds for patients with cutaneous melanoma based on risk of recurrence. Future refinement and adoption of thresholds would permit assessment of the clinical utility of novel prognostic tools and represents an early step toward individualizing treatment recommendations.
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Affiliation(s)
- Edmund K Bartlett
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Douglas Grossman
- Department of Dermatology and Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Susan M Swetter
- Department of Dermatology, Pigmented Lesion and Melanoma Program, Stanford University Medical Center and Cancer Institute, Stanford, USA
- Dermatology Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Sancy A Leachman
- Department of Dermatology and Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Clara Curiel-Lewandrowski
- Department of Dermatology and University of Arizona Cancer Center Skin Cancer Institute, University of Arizona, Tucson, AZ, USA
| | - Stephen W Dusza
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John M Kirkwood
- Department of Internal Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Amy L Tin
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew J Vickers
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael A Marchetti
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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28
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Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine. NPJ Digit Med 2022; 5:85. [PMID: 35788693 PMCID: PMC9253123 DOI: 10.1038/s41746-022-00618-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/19/2022] [Indexed: 11/17/2022] Open
Abstract
In this modern era of precision medicine, molecular signatures identified from advanced omics technologies hold great promise to better guide clinical decisions. However, current approaches are often location-specific due to the inherent differences between platforms and across multiple centres, thus limiting the transferability of molecular signatures. We present Cross-Platform Omics Prediction (CPOP), a penalised regression model that can use omics data to predict patient outcomes in a platform-independent manner and across time and experiments. CPOP improves on the traditional prediction framework of using gene-based features by selecting ratio-based features with similar estimated effect sizes. These components gave CPOP the ability to have a stable performance across datasets of similar biology, minimising the effect of technical noise often generated by omics platforms. We present a comprehensive evaluation using melanoma transcriptomics data to demonstrate its potential to be used as a critical part of a clinical screening framework for precision medicine. Additional assessment of generalisation was demonstrated with ovarian cancer and inflammatory bowel disease studies.
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29
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Garbe C, Amaral T, Peris K, Hauschild A, Arenberger P, Basset-Seguin N, Bastholt L, Bataille V, Del Marmol V, Dréno B, Fargnoli MC, Forsea AM, Grob JJ, Höller C, Kaufmann R, Kelleners-Smeets N, Lallas A, Lebbé C, Lytvynenko B, Malvehy J, Moreno-Ramirez D, Nathan P, Pellacani G, Saiag P, Stratigos AJ, Van Akkooi ACJ, Vieira R, Zalaudek I, Lorigan P. European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics: Update 2022. Eur J Cancer 2022; 170:236-255. [PMID: 35570085 DOI: 10.1016/j.ejca.2022.03.008] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/10/2022] [Indexed: 01/02/2023]
Abstract
Cutaneous melanoma (CM) is potentially the most dangerous form of skin tumor and causes 90% of skin cancer mortality. A unique collaboration of multi-disciplinary experts from the European Dermatology Forum (EDF), the European Association of Dermato-Oncology (EADO) and the European Organization for Research and Treatment of Cancer (EORTC) was formed to make recommendations on CM diagnosis and treatment, based on systematic literature reviews and the experts' experience. The diagnosis of melanoma can be made clinically and shall always be confirmed with dermatoscopy. If a melanoma is suspected, a histopathological examination is always required. Sequential digital dermatoscopy and full body photography can be used in high-risk patients to improve the detection of early melanoma. Where available, confocal reflectance microscopy can also improve clinical diagnosis in special cases. Melanoma shall be classified according to the 8th version of the American Joint Committee on Cancer classification. Thin melanomas up to 0.8 mm tumor thickness do not require further imaging diagnostics. From stage IB onwards, examinations with lymph node sonography are recommended, but no further imaging examinations. From stage IIC onwards whole-body examinations with computed tomography (CT) or positron emission tomography CT (PET-CT) in combination with brain magnetic resonance imaging are recommended. From stage III and higher, mutation testing is recommended, particularly for BRAF V600 mutation. It is important to provide a structured follow-up to detect relapses and secondary primary melanomas as early as possible. There is no evidence to define the frequency and extent of examinations. A stage-based follow-up scheme is proposed which, according to the experience of the guideline group, covers the optimal requirements, but further studies may be considered. This guideline is valid until the end of 2024.
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Affiliation(s)
- Claus Garbe
- Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany.
| | - Teresa Amaral
- Center for Dermatooncology, Department of Dermatology, Eberhard Karls University, Tuebingen, Germany
| | - Ketty Peris
- Institute of Dermatology, Università Cattolica, Rome, Italy; Fondazione Policlinico Universitario A. Gemelli - IRCCS, Rome, Italy
| | - Axel Hauschild
- Department of Dermatology, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany
| | - Petr Arenberger
- Department of Dermatovenereology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Nicole Basset-Seguin
- Université Paris Cite, AP-HP Department of Dermatology INSERM U 976 Hôpital Saint Louis Paris France
| | - Lars Bastholt
- Department of Oncology, Odense University Hospital, Denmark
| | - Veronique Bataille
- Twin Research and Genetic Epidemiology Unit, School of Basic & Medical Biosciences, King's College London, London, SE1 7EH, UK
| | - Veronique Del Marmol
- Department of Dermatology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Brigitte Dréno
- Dermatology Department, CHU Nantes, CIC 1413, CRCINA, University Nantes, Nantes, France
| | - Maria C Fargnoli
- Dermatology, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ana-Maria Forsea
- Dermatology Department, Elias University Hospital, Carol Davila University of Medicine and Pharmacy Bucharest, Romania
| | | | - Christoph Höller
- Department of Dermatology, Medical University of Vienna, Austria
| | - Roland Kaufmann
- Department of Dermatology, Venereology and Allergology, Frankfurt University Hospital, Frankfurt, Germany
| | - Nicole Kelleners-Smeets
- Department of Dermatology, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Aimilios Lallas
- First Department of Dermatology, Aristotle University, Thessaloniki, Greece
| | - Celeste Lebbé
- Université Paris Cite, AP-HP Department of Dermatology INSERM U 976 Hôpital Saint Louis Paris France
| | - Bohdan Lytvynenko
- Shupyk National Medical Academy of Postgraduate Education, Kiev, Ukraine
| | - Josep Malvehy
- Melanoma Unit, Department of Dermatology, Hospital Clinic, IDIBAPS, Barcelona, Spain
| | - David Moreno-Ramirez
- Medical-&-Surgical Dermatology Service, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Paul Nathan
- Mount-Vernon Cancer Centre, Northwood United Kingdom
| | | | - Philippe Saiag
- University Department of Dermatology, Université de Versailles-Saint Quentin en Yvelines, APHP, Boulogne, France
| | - Alexander J Stratigos
- 1st Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Alexander C J Van Akkooi
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, New South Wales, Australia
| | - Ricardo Vieira
- Department of Dermatology and Venereology, Centro Hospitalar Universitário de Coimbra, Coimbra, Portugal
| | - Iris Zalaudek
- Dermatology Clinic, Maggiore Hospital, University of Trieste, Trieste, Italy
| | - Paul Lorigan
- The University of Manchester, Oxford Rd, Manchester, M13 9PL, UK
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30
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Kurtansky NR, Dusza SW, Halpern AC, Hartman RI, Geller AC, Marghoob AA, Rotemberg VM, Marchetti MA. An Epidemiologic Analysis of Melanoma Overdiagnosis in the United States, 1975-2017. J Invest Dermatol 2022; 142:1804-1811.e6. [PMID: 34902365 PMCID: PMC9187775 DOI: 10.1016/j.jid.2021.12.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/03/2021] [Accepted: 12/01/2021] [Indexed: 12/12/2022]
Abstract
The primary cause of the increase in melanoma incidence in the United States has been suggested to be overdiagnosis. We used Surveillance, Epidemiology, and End Result Program data from 1975 to 2017 to examine epidemiologic trends of melanoma incidence and mortality and better characterize overdiagnosis in white Americans. Over the 43-year period, incidence and mortality showed discordant temporal changes across population subgroups; trends most suggestive of overdiagnosis alone were present in females aged 55-74. Other groups showed mixed changes suggestive of overdiagnosis plus changes in underlying disease risk (decreasing risk in younger individuals and increasing risk in older males). Cohort effects were identified for male and female mortality and male incidence but were not as apparent for female incidence, suggesting that period effects have had a greater influence on changes in incidence over time in females. Encouraging trends included long-term declines in mortality in younger individuals and recent stabilization of invasive incidence in individuals aged 15-44 years and males aged 45-54 years. Melanoma in situ incidence, however, has continued to increase throughout the population. Overdiagnosis appears to be relatively greater in American females and for melanoma in situ.
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Affiliation(s)
- Nicholas R Kurtansky
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Stephen W Dusza
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Allan C Halpern
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Rebecca I Hartman
- Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, Mass General Brigham, Boston, Massachusetts, USA; Melanoma Program, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alan C Geller
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Ashfaq A Marghoob
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Veronica M Rotemberg
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael A Marchetti
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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Bunnell AM, Nedrud SM, Fernandes RP. Classification and Staging of Melanoma in the Head and Neck. Oral Maxillofac Surg Clin North Am 2022; 34:221-234. [PMID: 35491079 DOI: 10.1016/j.coms.2021.12.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The rates of melanoma continue to rise, with recent estimates have shown that 18% to 22% of new melanoma cases occur within the head and neck in the United States each year. The mainstay of treatment of nonmetastatic primary melanomas of the head and neck includes the surgical resection and management of regional disease as indicated. Thorough knowledge of the classification and staging of melanoma is paramount to evaluate prognosis, determine the appropriate surgical intervention, and assess eligibility for adjuvant therapy and clinic trials. The traditional clinicopathologic classification of melanoma is based on morphologic aspects of the growth phase and distinguishes 4 of the most common subtypes as defined by the World Health Organization: superficial spreading, nodular, acral lentiginous, and lentigo maligna melanoma. The data used to derive the AJCC TNM Categories are based on superficial spreading melanoma and nodular subtypes. Melanoma is diagnosed histopathologically following initial biopsy that will assist with classifying the tumor to guide treatment. Classification is based on tumor thickness and ulceration (T stage, Breslow Staging), Regional Lymph Node Involvement (N Stage), and presence of metastasis (M Stage). Tumor thickness (Breslow thickness) and ulceration are 2 independent prognostic factors that have been shown to be the strongest predictors of survival and outcome. Clark level of invasion and mitotic rate are no longer incorporated into the current AJCC staging system, but still have shown to be important prognostic factors for cutaneous melanoma. For patients with metastatic (Stage IV) disease Lactate Dehydrogenase remains an independent predictor of survival. The Maxillofacial surgeon must remain up to date on the most current management strategies in this patient population. Classification systems and staging provide the foundation for clinical decision making and prognostication for the Maxillofacial surgeon when caring for these patients.
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Affiliation(s)
- Anthony M Bunnell
- Division of Head and Neck Surgery, Department of Oral and Maxillofacial Surgery, University of Florida College of Medicine,- Jacksonville 653-1 West 8th, Street, Jacksonville, FL 32209, USA.
| | - Stacey M Nedrud
- Division of Head and Neck Surgery, Department of Oral and Maxillofacial Surgery, University of Florida College of Medicine,- Jacksonville 653-1 West 8th, Street, Jacksonville, FL 32209, USA
| | - Rui P Fernandes
- Division of Head and Neck Surgery, Department of Oral and Maxillofacial Surgery, University of Florida College of Medicine,- Jacksonville 653-1 West 8th, Street, Jacksonville, FL 32209, USA
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Palkina NV, Ruksha TG, Khorzhevskii VA, Sergeeva EY, Fefelova YA. [Gene expression profiling in melanoma diagnostics: problems and future application in clinical practice]. Arkh Patol 2022; 84:64-71. [PMID: 35417951 DOI: 10.17116/patol20228402164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Difficulties in the diagnosis and differential diagnosis of melanoma in the work of a pathologist include not only conflicting structural and morphological features, but also the insufficient effectiveness of biochemical and some molecular markers in immunohistochemical studies. The review presents modern alternative methods for diagnosing malignant tumors based on the assessment of gene expression, the performance, objectivity and reliability of the determination of which may in the future have clinical application as an addition to histopathological methods in the diagnosis and differential diagnosis of various malignant neoplasms, including melanocytic neoplasms, which is changing the paradigm of routine medical practice, introducing diagnostic tests that carry molecular information into it.
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Affiliation(s)
- N V Palkina
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - T G Ruksha
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - V A Khorzhevskii
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - E Yu Sergeeva
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Yu A Fefelova
- Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia
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Thorpe RB, Covington KR, Caruso HG, Quick AP, Zolochevska O, Bricca GM, Campoli M, DeBloom JR, Fazio MJ, Greenhaw BN, Kirkland EB, Machan ML, Brodland DG, Zitelli JA. Development and validation of a nomogram incorporating gene expression profiling and clinical factors for accurate prediction of metastasis in patients with cutaneous melanoma following Mohs micrographic surgery. J Am Acad Dermatol 2022; 86:846-853. [PMID: 34808324 DOI: 10.1016/j.jaad.2021.10.062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 09/23/2021] [Accepted: 10/30/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND There is a need to improve prognostic accuracy for patients with cutaneous melanoma. A 31-gene expression profile (31-GEP) test uses the molecular biology of primary tumors to identify individual patient metastatic risk. OBJECTIVE Develop a nomogram incorporating 31-GEP with relevant clinical factors to improve prognostic accuracy. METHODS In an IRB-approved study, 1124 patients from 9 Mohs micrographic surgery centers were prospectively enrolled, treated with Mohs micrographic surgery, and underwent 31-GEP testing. Data from 684 of those patients with at least 1-year follow-up or a metastatic event were included in nomogram development to predict metastatic risk. RESULTS Logistic regression modeling of 31-GEP results and T stage provided the simplest nomogram with the lowest Bayesian information criteria score. Validation in an archival cohort (n = 901) demonstrated a significant linear correlation between observed and nomogram-predicted risk of metastasis. The resulting nomogram more accurately predicts the risk for cutaneous melanoma metastasis than T stage or 31-GEP alone. LIMITATIONS The patient population is representative of Mohs micrographic surgery centers. Sentinel lymph node biopsy was not performed for most patients and could not be used in the nomogram. CONCLUSIONS Integration of 31-GEP and T stage can gain clinically useful prognostic information from data obtained noninvasively.
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Affiliation(s)
| | | | | | | | | | | | | | - James R DeBloom
- South Carolina Skin Cancer Center, Greenville, South Carolina
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Wisco OJ, Marson JW, Litchman GH, Brownstone N, Covington KR, Martin BJ, Quick AP, Siegel JJ, Caruso HG, Cook RW, Winkelmann RR, Rigel DS. Improved cutaneous melanoma survival stratification through integration of 31-gene expression profile testing with the American Joint Committee on Cancer 8th Edition Staging. Melanoma Res 2022; 32:98-102. [PMID: 35254332 PMCID: PMC8893124 DOI: 10.1097/cmr.0000000000000804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 12/14/2021] [Indexed: 11/26/2022]
Abstract
Cutaneous melanoma (CM) survival is assessed using averaged data from the American Joint Committee on Cancer 8th edition (AJCC8). However, subsets of AJCC8 stages I-III have better or worse survival than the predicted average value. The objective of this study was to determine if the 31-gene expression profile (31-GEP) test for CM can further risk-stratify melanoma-specific mortality within each AJCC8 stage. This retrospective multicenter study of 901 archival CM samples obtained from patients with stages I-III CM assessed 31-GEP test predictions of 5-year melanoma-specific survival (MSS) using Kaplan-Meier and Cox proportional hazards. In stage I-III CM population, patients with a Class 2B result had a lower 5-year MSS (77.8%) than patients with a Class 1A result (98.7%) and log-rank testing demonstrated significant stratification of MSS [χ2 (2df, n = 901) = 99.7, P < 0.001). Within each stage, 31-GEP data provided additional risk stratification, including in stage I [χ2 (2df, n = 415) = 11.3, P = 0.004]. Cox regression multivariable analysis showed that the 31-GEP test was a significant predictor of melanoma-specific mortality (MSM) in patients with stage I-III CM [hazard ratio: 6.44 (95% confidence interval: 2.61-15.85), P < 0.001]. This retrospective study focuses on Class 1A versus Class 2B results. Intermediate results (Class 1B/2A) comprised 21.6% of cases with survival rates between Class 1A and 2B, and similar to 5-year MSS AJCC stage values. Data from the 31-GEP test significantly differentiates MSM into lower (Class 1A) and higher risk (Class 2B) groups within each AJCC8 stage. Incorporating 31-GEP results into AJCC8 survival calculations has the potential to more precisely assess survival and enhance management guidance.
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Affiliation(s)
| | | | - Graham H. Litchman
- Department of Dermatology, St. John’s Episcopal Hospital, Far Rockaway, New York
| | | | - Kyle R. Covington
- Research and Development, Castle Biosciences, Inc., Friendswood, Texas
| | - Brian J. Martin
- Research and Development, Castle Biosciences, Inc., Friendswood, Texas
| | - Ann P. Quick
- Research and Development, Castle Biosciences, Inc., Friendswood, Texas
| | | | - Hillary G. Caruso
- Research and Development, Castle Biosciences, Inc., Friendswood, Texas
| | - Robert W. Cook
- Research and Development, Castle Biosciences, Inc., Friendswood, Texas
| | | | - Darrell S. Rigel
- Department of Dermatology, Mount Sinai Ichan School of Medicine, New York, New York, USA
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Farberg AS, Marson JW, Glazer A, Litchman GH, Svoboda R, Winkelmann RR, Brownstone N, Rigel DS. Expert Consensus on the Use of Prognostic Gene Expression Profiling Tests for the Management of Cutaneous Melanoma: Consensus from the Skin Cancer Prevention Working Group. Dermatol Ther (Heidelb) 2022; 12:807-823. [PMID: 35353350 PMCID: PMC9021351 DOI: 10.1007/s13555-022-00709-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 03/04/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Prognostic assessment of cutaneous melanoma relies on historical, clinicopathological, and phenotypic risk factors according to American Joint Committee on Cancer(AJCC) and National Comprehensive Cancer Network (NCCN) guidelines but may not account for a patient's individual additional genetic risk factors. OBJECTIVE To review the available literature regarding commercially available gene expression profile (GEP) tests and their use in the management of cutaneous melanoma. METHODS A literature search was conducted for original, English-language studies or meta-analyses published between 2010 and 2021 on commercially available GEP tests in cutaneous melanoma prognosis, clinical decision-making regarding sentinel lymph node biopsy, and real-world efficacy. After the literature review, the Skin Cancer Prevention Working Group, an expert panel of dermatologists with specialized training in melanoma and non-melanoma skin cancer diagnosis and management, utilized a modified Delphi technique to develop consensus statements regarding prognostic gene expression profile tests. Statements were only adopted with a supermajority vote of > 80%. RESULTS The initial search identified 1064 studies/meta-analyses that met the search criteria. Of these, we included 21 original articles and meta-analyses that studied the 31-GEP test (DecisionDx-Melanoma; Castle Biosciences, Inc.), five original articles that studied the 11-GEP test (Melagenix; NeraCare GmbH), and four original articles that studied the 8-GEP test with clinicopathological factors (Merlin; 8-GEP + CP; SkylineDx B.V.) in this review. Six statements received supermajority approval and were adopted by the panel. CONCLUSION GEP tests provide additional, reproducible information for dermatologists to consider within the larger framework of the eighth edition of the AJCC and NCCN cutaneous melanoma guidelines when counseling regarding prognosis and when considering a sentinel lymph node biopsy.
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Affiliation(s)
- Aaron S Farberg
- Section of Dermatology, Baylor Scott & White Health System, 2110 Research Row, Dallas, TX, 75235, USA. .,Dermatology Science and Research Foundation, Buffalo Grove, IL, USA.
| | - Justin W Marson
- SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Alex Glazer
- Dermatology Science and Research Foundation, Buffalo Grove, IL, USA
| | - Graham H Litchman
- Department of Dermatology, St. John's Episcopal Hospital, Far Rockaway, NY, USA
| | - Ryan Svoboda
- Department of Dermatology, Penn State College of Medicine, Hershey, PA, USA
| | - Richard R Winkelmann
- Dermatology Science and Research Foundation, Buffalo Grove, IL, USA.,OptumCare, Los Angeles, CA, USA
| | | | - Darrell S Rigel
- Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Lee KJ, Betz-Stablein B, Stark MS, Janda M, McInerney-Leo AM, Caffery LJ, Gillespie N, Yanes T, Soyer HP. The Future of Precision Prevention for Advanced Melanoma. Front Med (Lausanne) 2022; 8:818096. [PMID: 35111789 PMCID: PMC8801740 DOI: 10.3389/fmed.2021.818096] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 12/22/2021] [Indexed: 12/16/2022] Open
Abstract
Precision prevention of advanced melanoma is fast becoming a realistic prospect, with personalized, holistic risk stratification allowing patients to be directed to an appropriate level of surveillance, ranging from skin self-examinations to regular total body photography with sequential digital dermoscopic imaging. This approach aims to address both underdiagnosis (a missed or delayed melanoma diagnosis) and overdiagnosis (the diagnosis and treatment of indolent lesions that would not have caused a problem). Holistic risk stratification considers several types of melanoma risk factors: clinical phenotype, comprehensive imaging-based phenotype, familial and polygenic risks. Artificial intelligence computer-aided diagnostics combines these risk factors to produce a personalized risk score, and can also assist in assessing the digital and molecular markers of individual lesions. However, to ensure uptake and efficient use of AI systems, researchers will need to carefully consider how best to incorporate privacy and standardization requirements, and above all address consumer trust concerns.
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Affiliation(s)
- Katie J. Lee
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Brigid Betz-Stablein
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Mitchell S. Stark
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Monika Janda
- Centre for Health Services Research, School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Aideen M. McInerney-Leo
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Liam J. Caffery
- Centre for Health Services Research, School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Nicole Gillespie
- The University of Queensland Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, QLD, Australia
| | - Tatiane Yanes
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - H. Peter Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, QLD, Australia
- *Correspondence: H. Peter Soyer
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Sadurní MB, Meves A. Breslow thickness 2.0: Why gene expression profiling is a step toward better patient selection for sentinel lymph node biopsies. Mod Pathol 2022; 35:1509-1514. [PMID: 35654998 PMCID: PMC9162102 DOI: 10.1038/s41379-022-01101-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 04/23/2022] [Accepted: 05/05/2022] [Indexed: 12/20/2022]
Abstract
Risk-stratification of cutaneous melanoma is important. Patients want to know what to expect after diagnosis, and physicians need to decide on a treatment plan. Historically, melanoma that had spread beyond the skin and regional lymph nodes was largely incurable, and the only approach to preventing a bad outcome was surgery. Through the seminal work of Alexander Breslow and Donald Morton, a system was devised to carefully escalate surgery based on primary tumor thickness and sentinel lymph node status. Today, we know that prophylactic lymph node dissections do not improve survival, but we continue to appreciate the prognostic implications of a positive sentinel node and the benefits of removing nodal metastases, which facilitates locoregional disease control. However, the question arises whether we can better select patients for sentinel lymph node biopsies (SLNB) as, currently, 85% of these procedures are negative and non-therapeutic. Here, we argue that gene expression profiling (GEP) of the diagnostic biopsy is a valuable step toward better patient selection when combined with reliable clinicopathologic (CP) information such as patient age and Breslow thickness. Recently, a CP-GEP-based classifier of nodal metastasis risk, the Merlin Assay, has become commercially available. While CP-GEP is still being validated in prospective studies, preliminary data suggest that it is an independent predictor of nodal metastasis, outperforming clinicopathological variables. The hunt is on for Breslow thickness 2.0.
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Affiliation(s)
- Mariana B. Sadurní
- grid.66875.3a0000 0004 0459 167XDepartment of Dermatology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Alexander Meves
- Department of Dermatology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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Negreti AA, Ferreira-Silva GÁ, Pressete CG, Fonseca R, Candido CC, Graminha AE, Doriguetto AC, Caixeta ES, Hanemann JAC, Castro-Gamero AM, Barbosa MIF, Miyazawa M, Ionta M. Ruthenium( ii) complex containing cinnamic acid derivative inhibits cell cycle progression at G0/G1 and induces apoptosis in melanoma cells. NEW J CHEM 2022. [DOI: 10.1039/d1nj04291b] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Melanoma is a highly aggressive skin cancer with a limited targeted therapy arsenal.
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Affiliation(s)
- Amanda Alvim Negreti
- Institute of Biomedical Sciences, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | | | - Carolina Girotto Pressete
- Institute of Biomedical Sciences, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Rafael Fonseca
- Institute of Biomedical Sciences, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Caio C. Candido
- Institute of Chemistry, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Angelica E. Graminha
- Departament of Chemistry, Federal University of São Carlos, zip code 13565-905, São Carlos, SP, Brazil
| | | | - Ester Siqueira Caixeta
- Institute of Biomedical Sciences, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - João Adolfo Costa Hanemann
- Department of Clinic and Surgery, School of Dentistry, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Angel Mauricio Castro-Gamero
- Human Genetics Laboratory, Institute of Natural Science, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Marilia I. F. Barbosa
- Institute of Chemistry, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Marta Miyazawa
- Department of Clinic and Surgery, School of Dentistry, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
| | - Marisa Ionta
- Institute of Biomedical Sciences, Federal University of Alfenas, zip-code 37130-001, Alfenas, MG, Brazil
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Newcomer K, Robbins KJ, Perone J, Hinojosa FL, Chen D, Jones S, Kaufman CK, Weiser R, Fields RC, Tyler DS. Malignant melanoma: evolving practice management in an era of increasingly effective systemic therapies. Curr Probl Surg 2022; 59:101030. [PMID: 35033317 PMCID: PMC9798450 DOI: 10.1016/j.cpsurg.2021.101030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 05/12/2021] [Indexed: 01/03/2023]
Affiliation(s)
- Ken Newcomer
- Department of Surgery, Barnes-Jewish Hospital, Washington University, St. Louis, MO
| | | | - Jennifer Perone
- Department of Surgery, University of Texas Medical Branch, Galveston, TX
| | | | - David Chen
- e. Department of Medicine, Washington University, St. Louis, MO
| | - Susan Jones
- f. Department of Pediatrics, Washington University, St. Louis, MO
| | | | - Roi Weiser
- University of Texas Medical Branch, Galveston, TX
| | - Ryan C Fields
- Department of Surgery, Washington University, St. Louis, MO
| | - Douglas S Tyler
- Department of Surgery, University of Texas Medical Branch, Galveston, TX.
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40
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Andea AA. Molecular testing for melanocytic tumors: a practical update. Histopathology 2021; 80:150-165. [DOI: 10.1111/his.14570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 09/20/2021] [Indexed: 01/03/2023]
Affiliation(s)
- Aleodor A Andea
- Departments of Pathology and Dermatology Michigan Medicine University of Michigan Ann Arbor MI USA
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Tyumentseva A, Averchuk A, Palkina N, Zinchenko I, Moshev A, Savchenko A, Ruksha T. Transcriptomic Profiling Revealed Plexin A2 Downregulation With Migration and Invasion Alteration in Dacarbazine-Treated Primary Melanoma Cells. Front Oncol 2021; 11:732501. [PMID: 34926249 PMCID: PMC8677675 DOI: 10.3389/fonc.2021.732501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/16/2021] [Indexed: 12/02/2022] Open
Abstract
Melanoma is highly heterogeneous type of malignant neoplasm that is responsible for the majority of deaths among other types of skin cancer. In the present study, we screened a list of differentially expressed genes in two primary, drug-naïve melanoma cell lines derived from patients with melanoma following treatment of the cells with the chemotherapeutic agent dacarbazine. The aim was to determine the transcriptomic profiles and associated alterations in the cell phenotype. We found the vascular endothelial growth factor A/vascular endothelial growth factor receptor 2, phosphoinositide 3-kinase/protein kinase B and focal adhesion signaling pathways to be top altered after dacarbazine treatment. In addition, we observed the expression levels of genes associated with tumor dissemination, integrin β8 and matrix metalloproteinase-1, to be diminished in both cell lines studied, the results of which were confirmed by reverse transcription-quantitative polymerase chain reaction. By contrast, plexin A2 expression was found to be upregulated in K2303 cells, where reduced migration and invasion were also observed, following dacarbazine treatment. Plexin A2 downregulation was associated with the promotion of migrative and invasive capacities in B0404 melanoma cells. Since plexin A2 is semaphorin co-receptor that is involved in focal adhesion and cell migration regulation, the present study suggested that plexin A2 may be implicated in the dacarbazine-mediated phenotypic shift of melanoma cells. We propose that the signature of cancer cell invasiveness can be revealed by using a combination of transcriptomic and functional approaches, which should be applied in the development of personalized therapeutic strategies for each patient with melanoma.
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Affiliation(s)
- Anna Tyumentseva
- Department of Pathophysiology, Krasnoyarsk State Medical University, Krasnoyarsk, Russia
- Federal Research Center Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Anton Averchuk
- Department of Pathophysiology, Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Nadezhda Palkina
- Department of Pathophysiology, Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Ivan Zinchenko
- Department of Pathophysiology, Krasnoyarsk State Medical University, Krasnoyarsk, Russia
| | - Anton Moshev
- Laboratory of Cell Molecular Physiology and Pathology, Federal Research Center, Krasnoyarsk Science Center of The Siberian Branch of The Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Andrey Savchenko
- Laboratory of Cell Molecular Physiology and Pathology, Federal Research Center, Krasnoyarsk Science Center of The Siberian Branch of The Russian Academy of Sciences, Krasnoyarsk, Russia
| | - Tatiana Ruksha
- Department of Pathophysiology, Krasnoyarsk State Medical University, Krasnoyarsk, Russia
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m5C-Related Signatures for Predicting Prognosis in Cutaneous Melanoma with Machine Learning. JOURNAL OF ONCOLOGY 2021; 2021:6173206. [PMID: 34394351 PMCID: PMC8360728 DOI: 10.1155/2021/6173206] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/28/2021] [Indexed: 12/21/2022]
Abstract
Background Cutaneous melanoma (CM) is one of the most life-threatening primary skin cancers and is prone to distant metastases. A widespread presence of posttranscriptional modification of RNA, 5-methylcytosine (m5C), has been observed in human cancers. However, the potential mechanism of the tumorigenesis and prognosis in CM by dysregulated m5C-related regulators is obscure. Methods We use comprehensive bioinformatics analyses to explore the expression of m5C regulators in CM, the prognostic implications of the m5C regulators, the frequency of the copy number variant (CNV), and somatic mutations in m5C regulators. Additionally, the CM patients were divided into three clusters for better predicting clinical features and outcomes via consensus clustering of m5C regulators. Then, the risk score was established via Lasso Cox regression analysis. Next, the prognosis value and clinical characteristics of m5C-related signatures were further explored. Then, machine learning was used to recognize the outstanding m5C regulators to risk score. Finally, the expression level and clinical value of USUN6 were analyzed via the tissue microarray (TMA) cohort. Results We found that m5C regulators were dysregulated in CM, with a high frequency of somatic mutations and CNV alterations of the m5C regulatory gene in CM. Furthermore, 16 m5C-related proteins interacted with each other frequently, and we divided CM patients into three clusters to better predicting clinical features and outcomes. Then, five m5C regulators were selected as a risk score based on the LASSO model. The XGBoost algorithm recognized that NOP2 and NSUN6 were the most significant risk score contributors. Immunohistochemistry has verified that low expression of USUN6 was closely correlated with CM progression. Conclusion The m5C-related signatures can be used as new prognostic biomarkers and therapeutic targets for CM, and NSUN6 might play a vital role in tumorigenesis and malignant progression.
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Cornelius LA, Fields RC, Tarhini A. Multidisciplinary Care of BRAF-Mutant Stage III Melanoma: A Physicians Perspective Review. Oncologist 2021; 26:e1644-e1651. [PMID: 34080754 PMCID: PMC8417868 DOI: 10.1002/onco.13852] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 05/21/2021] [Indexed: 11/19/2022] Open
Abstract
Prognosis among patients with stage III melanoma can vary widely depending on the risk of disease relapse. Therefore, it is vital to optimize patient care through accurate diagnosis and staging as well as thoughtful treatment planning. A multidisciplinary team (MDT) approach, which involves active collaboration among physician specialists across a patient's disease journey, has been increasingly adopted as the standard of care for treatment of a variety of cancers, including melanoma. This review provides an overview of MDT care principles for patients with BRAF‐mutant–positive, stage III cutaneous melanoma and summarizes current literature, clinical experiences, and institutional best practices. Therapeutic goals from dermatologic, surgical, and medical oncologist perspectives regarding MDT care throughout a patient's disease course are discussed. Additionally, the role of each specialty's involvement in testing for predictive biomarkers at relevant time points to facilitate informed treatment decisions is discussed. Last, instances of successful MDT treatment of other cancers and key lessons to optimize MDT patient care in cutaneous melanoma are provided. Several aspects of MDT patient care are considered vital, such as the importance of staging via pathological examination and imaging, biomarker testing, and interdisciplinary physician and patient engagement throughout the course of treatment. Use of MDTs has the potential to improve patient care in cutaneous melanoma by improving the speed and accuracy of diagnosis, implementing a personalized treatment plan early on, and being proactive in adverse event management. Physician perspectives described in this review may lead to better outcomes, quality of life, and overall patient satisfaction. A multidisciplinary team (MDT) approach has been increasingly adopted as the standard of care for treatment of a variety of cancers, including melanoma. This review provides an overview of MDT care principles for patients with BRAF‐mutant–positive, stage III cutaneous melanoma and summarizes current literature, clinical experiences, and institutional best practices.
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Affiliation(s)
- Lynn A Cornelius
- Division of Dermatology, Department of Medicine, Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital and Washington University School of Medicine, St Louis, Missouri, USA
| | - Ryan C Fields
- Department of Surgery, Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital and Washington University School of Medicine, St Louis, Missouri, USA
| | - Ahmad Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.,University of South Florida Morsani College of Medicine, Tampa, Florida, USA
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Yeh I, Bastian BC. Melanoma pathology: new approaches and classification. Br J Dermatol 2021; 185:282-293. [PMID: 34060071 DOI: 10.1111/bjd.20427] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2021] [Indexed: 12/24/2022]
Abstract
Cancer is caused by the accumulation of pathogenic alterations of the genome and epigenome that result in permanent changes that disrupt cellular homeostasis. The genes that become corrupted in this process vary among different tumour types, reflecting specific vulnerabilities and dependencies of the cell from which the cancer originated. This also applies to 'melanoma', a cancer that constitutes not one, but multiple diseases that can be separated based on their cell of origin, aetiology, clinical appearance and course, and response to treatment. In this article, we review the current classification of melanoma within distinct evolutionary pathways and the associated genetic alterations. In addition, we review the application of molecular diagnostics to the diagnosis of melanocytic tumours in the context of histopathological assessment.
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Affiliation(s)
- I Yeh
- Department of Dermatology and Pathology, University of California, San Francisco, CA, USA
| | - B C Bastian
- Department of Dermatology and Pathology, University of California, San Francisco, CA, USA
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Overcoming the Challenges of High Quality RNA Extraction from Core Needle Biopsy. Biomolecules 2021; 11:biom11050621. [PMID: 33922016 PMCID: PMC8143498 DOI: 10.3390/biom11050621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 02/07/2023] Open
Abstract
The use of gene expression profiling (GEP) in cancer management is rising, as GEP can be used for disease classification and diagnosis, tailoring treatment to underlying genetic determinants of pharmacological response, monitoring of therapy response, and prognosis. However, the reliability of GEP heavily depends on the input of RNA in sufficient quantity and quality. This highlights the need for standard procedures to ensure best practices for RNA extraction from often small tumor biopsies with variable tissue handling. We optimized an RNA extraction protocol from fresh-frozen (FF) core needle biopsies (CNB) from breast cancer patients and from formalin-fixed paraffin-embedded (FFPE) tissue when FF CNB did not yield sufficient RNA. Methods to avoid ribonucleases andto homogenize or to deparaffinize tissues and the impact of tissue composition on RNA extraction were studied. Additionally, RNA’s compatibility with the nanoString nCounter® technology was studied. This technology platform enables GEP using small RNA fragments. After optimization of the protocol, RNA of high quality and sufficient quantity was obtained from FF CNB in 92% of samples. For the remaining 8% of cases, FFPE material prepared by the pathology department was used for RNA extraction. Both resulting RNA end products are compatible with the nanoString nCounter® technology.
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Deacon DC, Smith EA, Judson-Torres RL. Molecular Biomarkers for Melanoma Screening, Diagnosis and Prognosis: Current State and Future Prospects. Front Med (Lausanne) 2021; 8:642380. [PMID: 33937286 PMCID: PMC8085270 DOI: 10.3389/fmed.2021.642380] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/17/2021] [Indexed: 12/22/2022] Open
Abstract
Despite significant progress in the development of treatment options, melanoma remains a leading cause of death due to skin cancer. Advances in our understanding of the genetic, transcriptomic, and morphologic spectrum of benign and malignant melanocytic neoplasia have enabled the field to propose biomarkers with potential diagnostic, prognostic, and predictive value. While these proposed biomarkers have the potential to improve clinical decision making at multiple critical intervention points, most remain unvalidated. Clinical validation of even the most commonly assessed biomarkers will require substantial resources, including limited clinical specimens. It is therefore important to consider the properties that constitute a relevant and clinically-useful biomarker-based test prior to engaging in large validation studies. In this review article we adapt an established framework for determining minimally-useful biomarker test characteristics, and apply this framework to a discussion of currently used and proposed biomarkers designed to aid melanoma detection, staging, prognosis, and choice of treatment.
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Affiliation(s)
- Dekker C. Deacon
- Department of Dermatology, University of Utah, Salt Lake City, UT, United States
| | - Eric A. Smith
- Department of Pathology, University of Utah, Salt Lake City, UT, United States
| | - Robert L. Judson-Torres
- Department of Dermatology, University of Utah, Salt Lake City, UT, United States
- Huntsman Cancer Institute, Salt Lake City, UT, United States
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Williams GJ, Webster AC, Thompson JF. Organ transplantation and outcomes in patients with a past history of melanoma: A systematic review and meta-analysis. Clin Transplant 2021; 35:e14287. [PMID: 33720403 DOI: 10.1111/ctr.14287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 02/23/2021] [Accepted: 03/08/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND The incidence of melanoma is steadily rising around the world. There is uncertainty about the safety of solid organ transplantation in patients with a prior history of melanoma. AIM To review studies reporting patients with a history of melanoma before solid organ transplantation. METHODS Electronic searches of Medline, Embase, and the Cochrane library up to March 2020. All study designs, in any language and without sample size restriction, were eligible for inclusion. Risk of bias was assessed using established tools, and meta-analysis was performed using a random-effects model. RESULTS We identified 41 studies reporting 703 100 transplant recipients and 1692 had pre-transplantation melanomas. Risk of death, expressed as a hazard ratio, in patients with pre-transplantation melanoma relative to those without prior melanoma, was 1.32 (95% CI: 1.09-1.59). After transplantation, 13.1% of patients with pre-transplantation melanoma developed new or recurrent melanoma (IQR: 4.8%-18.2%). CONCLUSIONS Around 1-in-400 transplant recipients had a prior history of melanoma. This was associated with a greater than 1-in-10 risk of new or recurrent melanoma after transplantation and an increased risk of death. A 5-year waiting time between a melanoma diagnosis and transplantation has been recommended based on historic registry data, but very little additional information is available to justify or revise this.
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Affiliation(s)
| | - Angela C Webster
- School of Public Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Transplant and Renal Research, Westmead Hospital, Sydney, NSW, Australia
| | - John F Thompson
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
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Ascierto PA, Atkins MB, Eggermont AM, Gershenwald JE, Grob JJ, Hamid O, Sondak VK, Sosman JA, Tawbi HA, Weber JS, Caracò C, Osman I, Puzanov I. The "Great Debate" at Melanoma Bridge 2020: December, 5th, 2020. J Transl Med 2021; 19:142. [PMID: 33827575 PMCID: PMC8028182 DOI: 10.1186/s12967-021-02808-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 03/24/2021] [Indexed: 01/11/2023] Open
Abstract
The Great Debate session at the 2020 Melanoma Bridge virtual congress (December 3rd-5th, Italy) featured counterpoint views from experts on five specific controversial issues in melanoma. The debates considered whether or not innate immunity is important in the response to cancer and immunotherapy, how useful are the revised American Joint Committee on Cancer (AJCC) classification for the staging of patients, the use of sentinel node biopsy for staging patients, the use of triplet combination of targeted therapy plus immunotherapy versus combined immunotherapy, and the respective benefits of neoadjuvant versus adjuvant therapy. As is usual with Bridge congresses, the debates were assigned by meeting Chairs and positions taken by experts during the debates may not have necessarily reflected their own personal opinion.
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Affiliation(s)
- Paolo A Ascierto
- Department of Melanoma, Cancer Immunotherapy and Innovative Therapy, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", Naples, Italy.
| | - Michael B Atkins
- Georgetown-Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Alexander M Eggermont
- Princess Maxima Center and University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jean-Jacques Grob
- Service de Dermatologie et Cancérologie CutanéeHôpital de la Timone, Aix-Marseille Université, Marseille Cedex 5, France
| | - Omid Hamid
- The Angeles Clinic and Research Institute, Los Angeles, CA, USA
| | - Vernon K Sondak
- Department of Cutaneous Oncology, Richard M. Schulze Family Foundation, Moffitt Cancer Center , Tampa, FL, USA
- Departments of Oncologic Sciences and Surgery, University of South Florida Morsani School of Medicine, Tampa, FL, USA
| | - Jeffrey A Sosman
- Robert H Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL, USA
| | - Hussein A Tawbi
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey S Weber
- Laura and Isaac Perlmutter Cancer Center, NYU School of Medicine, New York, NY, USA
| | - Corrado Caracò
- Unit of Melanoma and Skin Tumor Surgery, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", Naples, Italy
| | - Iman Osman
- New York University Langone Medical Center, New York, NY, USA
| | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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Faries MB, Testori AAE, Gershenwald JE. Sentinel node biopsy for primary cutaneous melanoma. Ann Oncol 2021; 32:290-292. [PMID: 33484834 DOI: 10.1016/j.annonc.2021.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 02/07/2023] Open
Affiliation(s)
- M B Faries
- The Angeles Clinic and Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA
| | - A A E Testori
- Department of Dermatology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - J E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.
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50
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Yu WY, Hill ST, Chan ER, Pink JJ, Cooper K, Leachman S, Lund AW, Kulkarni R, Bordeaux JS. Computational Drug Repositioning Identifies Statins as Modifiers of Prognostic Genetic Expression Signatures and Metastatic Behavior in Melanoma. J Invest Dermatol 2021; 141:1802-1809. [PMID: 33417917 DOI: 10.1016/j.jid.2020.12.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/02/2020] [Accepted: 12/15/2020] [Indexed: 12/20/2022]
Abstract
Despite advances in melanoma treatment, more than 70% of patients with distant metastasis die within 5 years. Proactive treatment of early melanoma to prevent metastasis could save lives and reduce overall healthcare costs. Currently, there are no treatments specifically designed to prevent early melanoma from progressing to metastasis. We used the Connectivity Map to conduct an in silico drug screen and identified 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors (statins) as a drug class that might prevent melanoma metastasis. To confirm the in vitro effect of statins, RNA sequencing was completed on A375 cells after treatment with fluvastatin to describe changes in the melanoma transcriptome. Statins induced differential expression in genes associated with metastasis and are used in commercially available prognostic tests for melanoma metastasis. Finally, we completed a chart review of 475 patients with melanoma. Patients taking statins were less likely to have metastasis at the time of melanoma diagnosis in both univariate and multivariate analyses (24.7% taking statins vs. 37.6% not taking statins, absolute risk reduction = 12.9%, P = 0.038). These findings suggest that statins might be useful as a treatment to prevent melanoma metastasis. Prospective trials are required to verify our findings and to determine the mechanism of metastasis prevention.
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Affiliation(s)
- Wesley Y Yu
- Department of Dermatology, Oregon Health & Science University, Portland, Oregon, USA.
| | - Sheena T Hill
- Department of Dermatology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - E Ricky Chan
- Institute for Computational Biology, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - John J Pink
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Kevin Cooper
- Department of Dermatology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Sancy Leachman
- Department of Dermatology, Oregon Health & Science University, Portland, Oregon, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Amanda W Lund
- Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York, USA; Department of Pathology, NYU Grossman School of Medicine, New York, New York, USA; Laura and Isaac Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, New York, USA
| | - Rajan Kulkarni
- Department of Dermatology, Oregon Health & Science University, Portland, Oregon, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Jeremy S Bordeaux
- Department of Dermatology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
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