2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Journal Year: 2024, Volume and Issue: unknown, P. 4474 - 4480
Published: Dec. 3, 2024
Language: Английский
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Journal Year: 2024, Volume and Issue: unknown, P. 4474 - 4480
Published: Dec. 3, 2024
Language: Английский
European Journal of Epidemiology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 9, 2025
Abstract Early-stage cutaneous melanoma patients generally have a favorable prognosis, yet significant proportion of metastatic cases arise from this group, highlighting the need for improved risk stratification using novel prognostic biomarkers. The Dutch Early-Stage Melanoma (D-ESMEL) study introduces robust, population-based methodology to develop an absolute prediction model stage I/II melanoma, incorporating clinical, imaging, and multi-omics data identify at increased distant metastases. Utilizing Netherlands Cancer Registry Nationwide Pathology Databank, we collected primary tumor samples early-stage patients, with without metastases during follow-up. Our design includes discovery set matched controls factors, followed by validation cohort nested case–control validate these factors build model. Tissue sections underwent Hematoxylin & Eosin (H&E) staining, RNA sequencing (RNAseq), DNA (DNAseq), immunohistochemistry (IHC), multiplex immunofluorescence (MxIF).The included 442 (221 sets), 46% I 54% II melanomas. median time metastasis was 3.4 years, while had follow-up 9.8 years. 154 random selection 5,815 patients. approach enabled collection large number databases extensive sufficient events. This in cancer research holds potential impact clinical decision-making through prediction.
Language: Английский
Citations
1Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 707 - 707
Published: Feb. 19, 2025
Melanoma represents a significant public health challenge due to its increasing incidence and potential for metastasis. This review will explore the current clinical approaches management of melanoma, focusing on advancements in diagnosis, treatment, prognosis. Methods early detection accurate staging have been enhanced by new diagnostic strategies. Treatment modalities expanded beyond traditional surgical excision include targeted therapy immunotherapy. Prognostic assessment has benefited from development novel biomarkers genetic profiling. highlight progress made multidisciplinary underscoring importance continuous research improve patient outcomes.
Language: Английский
Citations
0American Journal of Clinical Dermatology, Journal Year: 2025, Volume and Issue: unknown
Published: April 3, 2025
Language: Английский
Citations
0Cancers, Journal Year: 2025, Volume and Issue: 17(8), P. 1281 - 1281
Published: April 10, 2025
The identification of predictive factors for sentinel lymph node (SLN) positivity in melanoma patients is crucial accurate staging, prognosis, and personalized therapeutic decisions. This review synthesizes recent advancements molecular clinicopathological predictors, with a particular focus on liquid biopsy gene expression profiling (GEP) tools. Emerging evidence highlights the significant role miRNAs progression, metastatic potential, lymphatic spread. Clinicopathological such as Breslow thickness, ulceration, mitotic rate remain critical, while GEP provides additional precision by uncovering tumor-specific pathways. By integrating these tools, clinicians can improve risk stratification, reduce unnecessary procedures, personalize management strategies.
Language: Английский
Citations
0Cancers, Journal Year: 2024, Volume and Issue: 16(21), P. 3714 - 3714
Published: Nov. 4, 2024
Background: Cutaneous melanoma is an increasingly common and potentially lethal form of skin cancer. Current staging systems based on clinical pathological features have limitations in accurately predicting outcomes, particularly for early-stage disease. The 31-gene expression profile (31-GEP) test has emerged as a promising tool improving risk stratification patients. Methods: We conducted systematic review meta-analysis studies evaluating the prognostic performance 31-GEP cutaneous melanoma. A comprehensive literature search was performed multiple databases. Studies reporting survival outcomes stratified by class were included. Random-effects models used to determine estimates across studies. Results: Thirteen comprising 14,760 patients included meta-analysis. consistently into groups with significantly different outcomes. 5-year melanoma-specific rates 99.8% (95% CI: 98–100%) Class 1A, 97.6% 92.4–99.3%) 1B/2A, 83.4% 66.5–92.7%) 2B. Similar trends observed recurrence-free distant metastasis-free survival. Conclusions: This supports utility prognostication. clinically meaningful metrics. These findings support potential enhancing current informing personalized management strategies
Language: Английский
Citations
1Advances in genetics, Journal Year: 2024, Volume and Issue: unknown, P. 207 - 254
Published: Jan. 1, 2024
Language: Английский
Citations
0European journal of medical research, Journal Year: 2024, Volume and Issue: 29(1)
Published: Sept. 28, 2024
Language: Английский
Citations
0Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Citations
02021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Journal Year: 2024, Volume and Issue: unknown, P. 4474 - 4480
Published: Dec. 3, 2024
Language: Английский
Citations
0