Introduction: Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine malignancy of the skin with a predilection for metastases. This study investigates the clinical outcomes in patients presenting with Stage IV MCC according to the metastatic site(s) at presentation.
Materials And Methods: Patients who presented with one or more sites of distant metastatic MCC at initial diagnosis between 2009 and 2023 were identified. The presence or absence of one or more metastases in each organ was categorized for each patient at the time of diagnosis. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Competing risk analysis was used to estimate the cumulative occurrence risk of MCC-specific death. Fisher's exact test was used for response rate analysis. Results were considered statically significant if < 0.05.
Results: Thirty-four patients presented with distant metastatic MCC. There was no association between the number of metastatic sites at diagnosis and OS (= 0.58), PFS (=0.79), or response rates (=0.53). However, the presence of bone metastases was associated with significantly shorter OS (8.2 versus 25.2 months, HR: 2.4, 95% CI 1.01-5.7, = 0.04). MCC-specific death in patients with lymph node metastases was significantly lower than in patients without (HR: 0.28, 95% CI: 0.09-0.87, = 0.013). The presence of bone metastases tended to associate with an increased risk of MCC-specific death, although not statistically significant. The location of metastases was not associated with the response rate to first-line treatment. There was no significant association between site of metastases and PFS.
Conclusion: In this cohort of patients with metastatic MCC, the presence of bone metastases, but not the number of organs involved, was associated with significantly worse OS. The presence of lymph node metastases was associated with lower MCC-specific death. Further research is warranted in larger cohorts to investigate the impact of the location of metastases on clinical outcomes.
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http://dx.doi.org/10.3389/fonc.2024.1444590 | DOI Listing |
Front Oncol
September 2024
Merkel Cell Carcinoma Center of Excellence, Dana-Farber Cancer Institute, Boston, MA, United States.
Front Oncol
July 2024
Skin Cancer Center, Department of Dermatology, Venereology and Allergology, Ruhr-University Bochum, Bochum, Germany.
Introduction: Merkel cell carcinoma (MCC) is an aggressive skin cancer with a poor prognosis, which only improved with the introduction of immunotherapies. An MCC prediction model with high diagnostic accuracy is lacking. The aim was to develop an MCC prognostic score (MCC-PS) based on combinations of previously proposed risk factors.
View Article and Find Full Text PDFJ Eur Acad Dermatol Venereol
June 2024
Brigham and Women's Hospital, Boston, Massachusetts, USA.
Background: Merkel cell carcinoma (MCC) is associated with high rates of recurrence and distant metastatic progression. Current guidelines for surveillance imaging are not evidence based. Better characterization of the pattern of distant metastatic spread will better inform surveillance and facilitate earlier detection of metastases.
View Article and Find Full Text PDFJ Am Acad Dermatol
February 2024
Department of Radiation Oncology, University of Washington, Seattle, Washington.
Background: Merkel cell carcinoma (MCC) is often treated with surgery and postoperative radiation therapy (PORT). The optimal time to initiate PORT (Time-to-PORT [ttPORT]) is unknown.
Purpose: We assessed if delays in ttPORT were associated with inferior outcomes.
Cancers (Basel)
June 2023
Skin Cancer Center, Department of Dermatology, Ruhr-University Bochum, 44801 Bochum, Germany.
Merkel cell carcinoma (MCC) is a highly malignant skin tumor that occurs mainly in elderly and/or immunosuppressed patients. MCC prognosis has been significantly improved by the introduction of immune checkpoint inhibitor treatment. Recently, blood-based biomarkers have been investigated that can potentially predict the outcome of MCC patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!