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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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Angelova-Toshkina D, Weide B, Tietze LF, Hebst M, Tietze JK. Correlation of Baseline Tumor Burden with Clinical Outcome in Melanoma Patients Treated with Ipilimumab. Oncology 2023; 102:76-84. [PMID: 37579734 DOI: 10.1159/000533504] [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: 06/01/2023] [Accepted: 08/03/2023] [Indexed: 08/16/2023]
Abstract
INTRODUCTION Tumor burden is a frequently mentioned parameter; however, a commonly accepted definition is still lacking. METHODS In this double-center prospective and retrospective study, 76 patients with unresectable stage III or stage IV melanoma treated with ipilimumab were included. We defined the baseline tumor burden (BTB) as the global sum of all metastases' longest diameters before treatment started and correlated the calculated BTB with disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and with the baseline levels of LDH, S100B, and sULPB2. RESULTS BTB correlated significantly with DCR (p = 0.009), PFS (p = 0.002), OS (p = 0.032), and the occurrence of NRAS mutation (p = 0.006). BTB was also correlated to baseline serum levels of LDH (p = 0.011), S100B (p = 0.027), and SULBP (p < 0.0001). Multivariate analysis revealed that BPB and LDH were independently correlated with PFS and OS. With increasing BTB, disease control was less likely; no patient with a BTB >200 mm achieved disease control. For patients with brain metastasis, no correlation of BTB with DCR (p = 0.251), PFS (p = 0.059), or OS (p = 0.981) was observed. CONCLUSION Calculated BTB is an independent prognostic factor for patients with metastatic melanoma treated with ipilimumab. Using calculated BTB as a definition of tumor burden may help increase comparability of outcome of therapies in future studies.
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Affiliation(s)
| | - Benjamin Weide
- Department of Dermatology, University Hospital Tübingen, Tübingen, Germany
| | - Lutz F Tietze
- Institute of Organic and Biomolecular Chemistry, Georg-August University, Göttingen, Germany
| | - Michelle Hebst
- Clinic and Policlinic for Dermatology and Venereology, University Medical Center Rostock, Rostock, Germany
| | - Julia K Tietze
- Clinic and Policlinic for Dermatology and Venereology, University Medical Center Rostock, Rostock, Germany
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Rashed S, Hameed O, Al-Helaly L. Changes in the level of zinc and copper and some biochemical parameters in patients with chronic kidney failure. BIOMEDICAL AND BIOTECHNOLOGY RESEARCH JOURNAL (BBRJ) 2023. [DOI: 10.4103/bbrj.bbrj_22_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
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Desai AD, Chinta S, Yeh C, Shah VP, Shah R, Paskhover B, Schwartz RA. An analysis of lactate dehydrogenase (LDH) levels in advanced stage IV melanoma of the skin: prognostic capabilities and demographic variability. Arch Dermatol Res 2022; 315:799-806. [PMID: 36318305 DOI: 10.1007/s00403-022-02425-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/01/2022] [Accepted: 10/13/2022] [Indexed: 11/07/2022]
Abstract
Despite its limitations, in part due to decreased specificity in advanced disease, serum lactate dehydrogenase (LDH) is one of few serum factors used in cancer staging. This study quantifies the predictive capabilities of LDH in stage IV melanoma of the skin and explores the validity of suggested demographic discrepancies which may exist in its use. The 1975-2017 Surveillance Epidemiology and End Results (SEER) database was queried for stage IV cutaneous melanoma cases. Demographic characteristics were compared between LDH groups using chi-square and t tests. Subsequent Cox multivariable regression was performed to assess survival differences. 334 cases of stage IV cutaneous melanoma (average age: 63.0 years) with measured serum LDH levels were identified. Of these patients, 150 (44.9%) had normal LDH, 112 (33.5%) had LDH < 1.5 × upper limit of normal (ULN), 57 (17.1%) had LDH 1.5-10 × ULN, and 15 (4.5%) had LDH > 10 × ULN. Lower incomes were associated with higher LDH; individuals with incomes < $50,000 had the greatest proportion of LDH 10 × ULN (19.2%; p = 0.0031). LDH > 10 × ULN also had the lowest proportion of White patients (p = 0.04). On Cox multivariable survival analysis, increasing LDH levels showed increased risk of death (LDH < 1.5 × ULN: HR = 2.05, p = 0.01; LDH 1.5-10 × ULN: HR = 1.46, p < 0.001; LDH > 10 × ULN: HR = 5.91, p < 0.001). This study reaffirms the utility of LDH as a significant predictor of mortality with incremental severity, suggesting possible use for mortality projections. We note that Black patients and those with lower incomes may be more likely to have an elevated LDH. Older age groups and presence of ulceration among patients with stage IV melanoma were also associated with a greater risk of mortality.
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Affiliation(s)
- Amar D Desai
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA
| | - Sree Chinta
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA
| | - Christopher Yeh
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA
| | - Vraj P Shah
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA
| | - Radhika Shah
- Rutgers Robert Wood Johnson Medical School, Somerset, NJ, USA
| | - Boris Paskhover
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA
| | - Robert A Schwartz
- Rutgers New Jersey Medical School, 185 South Orange Avenue, Newark, NJ, 07103, USA.
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Asdourian MS, Otto TS, Jacoby TV, Shah N, Thompson LL, Blum SM, Reynolds KL, Semenov YR, Lawrence DP, Sullivan RJ, Boland GM, Villani AC, Chen ST. Association between serum lactate dehydrogenase and cutaneous immune-related adverse events among patients on immune checkpoint inhibitors for advanced melanoma. J Am Acad Dermatol 2022; 87:1147-1149. [PMID: 35192899 DOI: 10.1016/j.jaad.2022.02.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 01/26/2022] [Accepted: 02/14/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Maria S Asdourian
- Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts
| | - Tracey S Otto
- Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts; Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Ted V Jacoby
- Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts; University of Hawaii at Manoa John A. Burns School of Medicine, Honolulu, Hawaii
| | - Nishi Shah
- Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts; Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Leah L Thompson
- Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts
| | - Steven M Blum
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Kerry L Reynolds
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Yevgeniy R Semenov
- Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts
| | - Donald P Lawrence
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Ryan J Sullivan
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Genevieve M Boland
- Harvard Medical School, Boston, Massachusetts; Department of Surgery, Division of Surgical Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Alexandra-Chloé Villani
- Harvard Medical School, Boston, Massachusetts; Department of Medicine, Center for Immunology and Inflammatory Diseases and Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Steven T Chen
- Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts.
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Development of Lymphopenia during Therapy with Immune Checkpoint Inhibitors Is Associated with Poor Outcome in Metastatic Cutaneous Melanoma. Cancers (Basel) 2022; 14:cancers14133282. [PMID: 35805052 PMCID: PMC9265779 DOI: 10.3390/cancers14133282] [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: 05/27/2022] [Revised: 06/22/2022] [Accepted: 06/28/2022] [Indexed: 02/04/2023] Open
Abstract
Predictive markers for immune checkpoint inhibitor (ICI) therapy are needed. Thus, baseline blood counts have been investigated as biomarkers, showing that lymphopenia at the start of therapy with (ICI) is associated with a worse outcome in metastatic melanoma. We investigated the relationship between the occurrence of lymphopenia under ICI and disease outcome. Patients with metastatic melanoma who had undergone therapy with ICI were identified in our database. Only patients with a normal lymphocyte count at baseline were included in this retrospective study. Progression-free survival (PFS) and overall survival (OS) were compared between patients in which lymphopenia occurred during ICI therapy and those who did not develop lymphopenia. In total, 116 patients were analyzed. Lymphopenia occurred in 42.2% of patients, with a mean onset after 17 weeks (range 1-180 weeks). The occurrence of lymphopenia during immunotherapy was significantly associated with a shorter PFS and OS. Patients who developed lymphopenia (n = 49) had a mean PFS of 13.3 months (range 1-67 months) compared to 16.9 months (range 1-73 months) for patients who did not develop lymphopenia (n = 67; p = 0.025). Similarly, patients with lymphopenia had a significantly shorter OS of 28.1 months (range 2-70 months) compared with 36.8 months (range 4-106 months) in patients who did not develop lymphopenia (p = 0.01). Patients with metastatic melanoma who develop lymphopenia during ICI therapy have a worse prognosis with significantly shorter PFS and OS compared with patients who do not develop lymphopenia.
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Long Term Results and Prognostic Biomarkers for Anti-PD1 Immunotherapy Used after BRAFi/MEKi Combination in Advanced Cutaneous Melanoma Patients. Cancers (Basel) 2022; 14:cancers14092123. [PMID: 35565255 PMCID: PMC9101360 DOI: 10.3390/cancers14092123] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 04/20/2022] [Accepted: 04/23/2022] [Indexed: 02/01/2023] Open
Abstract
(1) Background: BRAFi/MEKi are usually offered as a first line treatment for patients requiring rapid response; with elevated lactate dehydrogenase (LDH) activity, large tumor burden, and with brain metastases. The efficacy of second line therapies after BRAFi/MEKI failure is now well defined. (2) Methods: Patients treated with first line target BRAFi/MEKi therapy (vemurafenib plus cobimetinib, dabrafenib plus trametinib or encorafenib plus binimetinib); and for the second line treatment immunotherapy with programmed cell death 1 (PD-1) checkpoint inhibitors (nivolumab or pembrolizumab) with at least one cycle of second line were analyzed for survival and prognostic biomarkers. (3) Results: There were no statistically significant differences in ORR between the treatment groups with nivolumab and pembrolizumab, as well as median progression free-survival (PSF) and overall survival (OS) since the initiation of second line therapy; on nivolumab OS was 6.6 months, and on pembrolizumab 5.0 months. The greatest clinical benefit with second line immunotherapy was observed in patients with LDH ≤ ULN and <3 organ sites with metastasis at baseline. Longer OS was also noted in patients with time to PD >6 months in first line (slow progression). (4) Conclusions: Second line anti-PD1 immunotherapy is effective in BRAF-mutated melanoma patients after BRAFi/MEKi therapy failure.
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Zhou Y, Qi M, Yang M. Fluorescence determination of lactate dehydrogenase activity based on silicon quantum dots. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 268:120697. [PMID: 34915230 DOI: 10.1016/j.saa.2021.120697] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/04/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
Silicon quantum dots (SiQDs) synthesized based on 3-aminopropyltrimethoxysilane (ATPMS) as silicon source were used to detect the activity of lactate dehydrogenase (LDH) through changes of fluorescence intensity of SiQDs. In this system, the fluorescence of SiQDs was first quenched by nicotinamide adenine dinucleotide (NADH), and then recovered with the addition of LDH, as NADH was consumed by catalytic reaction of LDH. A linear calibration chart of LDH is obtained in the range of 0.77-385 U/mL. The assay displays high selectivity towards LDH detection, and was successfully applied to the analysis of LDH in human serum samples. This assay has great prospects for the diagnosis and prognosis of various diseases, especially melanoma.
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Affiliation(s)
- Yangzhe Zhou
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Min Qi
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China.
| | - Minghui Yang
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
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Role of Biomarkers in the Integrated Management of Melanoma. DISEASE MARKERS 2022; 2021:6238317. [PMID: 35003391 PMCID: PMC8739586 DOI: 10.1155/2021/6238317] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 12/13/2021] [Indexed: 12/21/2022]
Abstract
Melanoma, which is an aggressive skin cancer, is currently the fifth and seventh most common cancer in men and women, respectively. The American Cancer Society reported that approximately 106,110 new cases of melanoma were diagnosed in the United States in 2021, with 7,180 people dying from the disease. This information could facilitate the early detection of possible metastatic lesions and the development of novel therapeutic techniques for melanoma. Additionally, early detection of malignant melanoma remains an objective of melanoma research. Recently, melanoma treatment has substantially improved, given the availability of targeted treatments and immunotherapy. These developments have highlighted the significance of identifying biomarkers for prognosis and predicting therapy response. Biomarkers included tissue protein expression, circulating DNA detection, and genetic alterations in cancer cells. Improved diagnostic and prognostic biomarkers are becoming increasingly relevant in melanoma treatment, with the development of newer and more targeted treatments. Here, the author discusses the aspects of biomarkers in the real-time management of patients with melanoma.
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Fischer GM, Carapeto FCL, Joon AY, Haydu LE, Chen H, Wang F, Van Arnam JS, McQuade JL, Wani K, Kirkwood JM, Thompson JF, Tetzlaff MT, Lazar AJ, Tawbi HA, Gershenwald JE, Scolyer RA, Long GV, Davies MA. Molecular and immunological associations of elevated serum lactate dehydrogenase in metastatic melanoma patients: A fresh look at an old biomarker. Cancer Med 2020; 9:8650-8661. [PMID: 33016647 PMCID: PMC7666738 DOI: 10.1002/cam4.3474] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 08/31/2020] [Accepted: 09/02/2020] [Indexed: 12/26/2022] Open
Abstract
Elevated serum lactate dehydrogenase (sLDH) is associated with poor clinical outcomes in patients with stage IV metastatic melanoma (MM). It is currently unknown if sLDH elevation correlates with distinct molecular, metabolic, or immune features of melanoma metastases. The identification of such features may identify rational therapeutic strategies for patients with elevated sLDH. Thus, we obtained sLDH levels for melanoma patients with metastases who had undergone molecular and/or immune profiling. Our analysis of multi‐omics data from independent cohorts of melanoma metastases showed that elevated sLDH was not significantly associated with differences in immune cell infiltrate, point mutations, DNA copy number variations, promoter methylation, RNA expression, or protein expression in melanoma metastases. The only significant association observed for elevated sLDH was with the number of metastatic sites of disease. Our data support that sLDH correlates with disease burden, but not specific molecular or immunological phenotypes, in metastatic melanoma.
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Affiliation(s)
- Grant M Fischer
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fernando C L Carapeto
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aron Y Joon
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren E Haydu
- Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Huiqin Chen
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuchenchu Wang
- Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John S Van Arnam
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer L McQuade
- Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khalida Wani
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John M Kirkwood
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - John F Thompson
- Melanoma Institute of Australia, The University of Sydney, North Sydney, NSW, Australia.,The University of Sydney, Sydney, NSW, Australia.,Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia
| | - Michael T Tetzlaff
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander J Lazar
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hussein A Tawbi
- Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey E Gershenwald
- Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard A Scolyer
- Melanoma Institute of Australia, The University of Sydney, North Sydney, NSW, Australia.,The University of Sydney, Sydney, NSW, Australia.,Royal Prince Alfred Hospital, NSW Health Pathology, Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute of Australia, The University of Sydney, North Sydney, NSW, Australia.,The University of Sydney, Sydney, NSW, Australia.,Royal North Shore Hospital, Sydney, NSW, Australia
| | - Michael A Davies
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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