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Egger ME, Alexander E, Van Meter T, Kong M, Maung AA, Valdes R, Hall MB, Linder MW. Corresponding ctDNA and tumor burden dynamics in metastatic melanoma patients on systemic treatment. Transl Oncol 2024; 42:101883. [PMID: 38306914 PMCID: PMC10850110 DOI: 10.1016/j.tranon.2024.101883] [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: 04/13/2023] [Revised: 12/15/2023] [Accepted: 01/11/2024] [Indexed: 02/04/2024] Open
Abstract
Radiographic imaging is the current standard for monitoring progression of tumor-burden and therapeutic resistance in patients with metastatic melanoma. Plasma circulating tumor DNA (ctDNA) has shown promise as a survelience tool, but longitudinal data on the dynamics between plasma ctDNA concentrations and radiographic imaging is lacking. We evaluated the relationship between longitudinal radiographic measures of tumor burden and ctDNA concentrations in plasma on 30 patients with metastatic melanoma on systemic treatment. In 9 patients with no radiographic evidence of disease over a total of 15 time points, ctDNA concentrations were undetectable. In 21 patients with radiographic tumor burden, ctDNA was detected in 81 % of 58 time points. Plasma ctDNA concentrations demonstrated a modest positive correlation with total tumor burden (TTB) measurements (R2= 0.49, p < 0.001), with the greatest degree of correlation observed under conditions of progressive disease (PD) (R2 = 0.91, p = 0.032). Plasma ctDNA concentrations were significantly greater at times of RECIST v1.1 progression (PD; 22.1 % ± 5.7 %) when compared to samples collected during stable disease (SD; 4.99 % ± 3.0 %) (p = 0.012); this difference was independent of total tumor burden (p = 0.997). Changes in plasma ctDNA showed a strong correlation with changes in TTB (R2= 0.88, p<0.001). These data suggest that measurements of plasma ctDNA during therapy are a better surrogate for responding versus non-responding disease compared to absolute tumor burden.
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Affiliation(s)
- Michael E Egger
- Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, Louisville, KY, USA
| | - Evan Alexander
- Department of Pathology and Laboratory Medicine, University of Louisville School of Medicine, Louisville, KY, USA
| | - Tracy Van Meter
- Department of Radiology, University of Louisville School of Medicine, Louisville, KY, USA
| | - Maiying Kong
- Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, Louisville, KY, USA; Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA
| | - Aye Aye Maung
- Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, Louisville, KY, USA; Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA
| | - Roland Valdes
- Department of Pathology and Laboratory Medicine, University of Louisville School of Medicine, Louisville, KY, USA; Department of Biochemistry and Molecular Biology, University of Louisville School of Medicine, Louisville, KY, USA
| | - Melissa Barousse Hall
- UofL Health Brown Cancer Center, Louisville, KY, USA; Department of Medicine, University of Louisville School of Medicine, Louisville, KY, USA
| | - Mark W Linder
- Department of Pathology and Laboratory Medicine, University of Louisville School of Medicine, Louisville, KY, USA; UofL Health Brown Cancer Center, Louisville, KY, USA.
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Weijers JAM, de Bitter TJJ, Verhaegh GW, van Boxtel W, Uijen MJM, van Engen-van Grunsven ACH, Driessen CML, Schalken JA, Ligtenberg MJL, van Herpen CML. Exploring the potential of circulating tumour DNA to monitor treatment response in salivary duct carcinoma patients of the CABO-ASAP trial. Oral Oncol 2023; 147:106620. [PMID: 37939426 DOI: 10.1016/j.oraloncology.2023.106620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/10/2023]
Affiliation(s)
- Jetty A M Weijers
- Department of Medical Oncology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Tessa J J de Bitter
- Department of Pathology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Gerald W Verhaegh
- Department of Urology, Radboud Institute for Molecular Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Wim van Boxtel
- Department of Medical Oncology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Maike J M Uijen
- Department of Medical Oncology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Adriana C H van Engen-van Grunsven
- Department of Pathology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Chantal M L Driessen
- Department of Medical Oncology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Jack A Schalken
- Department of Urology, Radboud Institute for Molecular Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands
| | - Marjolijn J L Ligtenberg
- Department of Pathology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands; Department of Human Genetics, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands
| | - Carla M L van Herpen
- Department of Medical Oncology, Radboud Institute for Medical Innovation, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, the Netherlands.
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The Prognostic Value of a Single, Randomly Timed Circulating Tumor DNA Measurement in Patients with Metastatic Melanoma. Cancers (Basel) 2022; 14:cancers14174158. [PMID: 36077695 PMCID: PMC9455041 DOI: 10.3390/cancers14174158] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/26/2022] Open
Abstract
Simple Summary In this study, we investigated the associations of circulating tumor DNA (ctDNA), measured at a random time point during the patient’s treatment, with tumor progression and routine blood markers (protein S100, lactate dehydrogenase (LDH), and C-reactive protein (CRP)) in a cohort of patients with metastatic melanoma. Detectable ctDNA was associated with the presence of extracerebral disease, tumor progression, and poorer overall survival (OS). Elevated S100 and CRP was correlated with detectable ctDNA, whereas LDH was not. Our results further support the use of ctDNA in the clinical management of patients with metastatic melanoma. Abstract Melanoma currently lacks validated blood-based biomarkers for monitoring and predicting treatment efficacy. Circulating tumor DNA (ctDNA), originating from tumor cells and detectable in plasma, has emerged as a possible biomarker in patients with metastatic melanoma. In this retrospective, single-center study, we collected 129 plasma samples from 79 patients with stage IIIB–IV melanoma as determined by the American Joint Committee on Cancer (AJCC, 8th edition). For the determination of ctDNA levels, we used eight different assays of droplet digital polymerase chain reaction (ddPCR) to detect the most common hotspot mutations in the BRAF and NRAS genes. The aim of the study was to investigate the association of the detectability of ctDNA at a non-prespecified time point in a patient’s treatment with tumor progression, and to correlate ctDNA with commonly used biomarkers (protein S100, LDH, and CRP). Patients with detectable ctDNA progressed more frequently in PET-CT within 12 months than those without detectable ctDNA. Detectability of ctDNA was associated with shorter OS in univariate and multivariate analyses. ctDNA was detectable in a statistically significantly larger proportion of patients with distant metastases (79%) than in patients with no distant metastases or only intracranial metastases (32%). Elevated protein S100 and CRP correlated better with detectable ctDNA than LDH. This study supports the potential of ctDNA as a prognostic biomarker in patients with metastatic melanoma. However, additional prospective longitudinal studies with quantitative assessments of ctDNA are necessary to investigate the limitations and strengths of ctDNA as a biomarker.
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Giunta EF, De Falco V, Vitiello PP, Guerrera LP, Suarato G, Napolitano R, Perrone A, Argenziano G, Franco R, Caraglia M, Martinelli E, Ciardiello D, Ciardiello F, Napolitano S, Troiani T. Clinical Utility of Liquid Biopsy to Detect BRAF and NRAS Mutations in Stage III/IV Melanoma Patients by Using Real-Time PCR. Cancers (Basel) 2022; 14:cancers14133053. [PMID: 35804825 PMCID: PMC9265107 DOI: 10.3390/cancers14133053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 05/29/2022] [Accepted: 06/20/2022] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Liquid biopsy is an increasingly used tool for melanoma diagnosis and molecular characterization, but also for monitoring of response to anticancer drugs. The aim of our work is to assess the clinical utility of a real-time quantitative PCR (qPCR)-based platform with a very short turnaround time and identify the best setting for clinical investigation. We investigated the concordance of this technique with tissue analysis in stage III–IV melanoma patients; moreover, we correlated results to clinicopathologic characteristics and outcomes. We found a higher tissue–plasma concordance in melanoma patients with high burden of disease (sum of diameters ≥30 mm, ≥2 metastatic sites, elevated LDH levels), constituting a clinical subgroup worthy of future prospective evaluation; however, the low sensitivity of this technique seems to be not sufficient for predicting relapses in radically resected patients. Abstract Background: Liquid biopsy is a potentially useful tool for melanoma patients, also for detecting BRAS/NRAS mutations, even if the tissue analysis remains the current standard. Methods: In this work, we tested ctDNA on plasma samples from 56 BRAF-V600/NRAS mutant stage III/IV melanoma patients using a real-time quantitative PCR (qPCR)-based platform. The study population was divided into two cohorts: the first including 26 patients who had undergone radical resection (resected cohort) and the second including 30 patients who had unresected measurable disease (advanced cohort). Moreover, for 10 patients in the advanced cohort, ctDNA assessment was repeated at specified timepoints after baseline testing. Data were analyzed and correlated to the clinicopathologic characteristics and outcomes. Results: In the baseline cohort, a higher tissue–plasma concordance was seen in patients with high burden of disease (sum of diameters ≥30 mm, ≥2 metastatic sites, elevated LDH levels); furthermore, monitoring of these patients through ctDNA analysis was informative for therapeutic responses. On the other hand, the low sensitivity of this technique did not allow for clinically valuable prediction of relapses in radically resected stage III/IV patients. Conclusions: Overall, our data suggest that qPCR-based ctDNA analysis could be informative in a subset of locally advanced and metastatic melanoma patients with specific clinical–radiological characteristics, supporting further investigations in this setting.
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Affiliation(s)
- Emilio Francesco Giunta
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Vincenzo De Falco
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Pietro Paolo Vitiello
- Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, TO, Italy
- Department of Oncology, University of Torino, 10060 Candiolo, TO, Italy
| | - Luigi Pio Guerrera
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
- Medical Oncology Unit, Ospedale Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | - Gabriella Suarato
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Rossella Napolitano
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Alessandra Perrone
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Giuseppe Argenziano
- Dermatology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Renato Franco
- Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy
| | - Michele Caraglia
- Department of Precision Medicine, AOU Policlinico Vanvitelli, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy
| | - Erika Martinelli
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Davide Ciardiello
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
- Medical Oncology Unit, Ospedale Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | - Fortunato Ciardiello
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Stefania Napolitano
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
| | - Teresa Troiani
- Medical Oncology Unit, Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80131 Naples, Italy
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