Federated learning for oncology: Breast Cancer subtyping Case Study Using Gene Expression DOI

Karl Paygambar,

Mallek Mziou-Sallami,

Fabien Baligand

et al.

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

The Dutch Early-Stage Melanoma (D-ESMEL) study: a discovery set and validation cohort to predict the absolute risk of distant metastases in stage I/II cutaneous melanoma DOI Creative Commons
Catherine Zhou, Antien L. Mooyaart, Thamila Kerkour

et al.

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

1

Clinical Approaches for the Management of Skin Cancer: A Review of Current Progress in Diagnosis, Treatment, and Prognosis for Patients with Melanoma DOI Open Access

Christopher M. O Connor,

Quinton L. Carr,

Alisa Sweazy

et al.

Cancers, 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

0

Abscopal Effects and Immunomodulation in Skin Cancer Therapy DOI
William J. Nahm, Goranit Sakunchotpanit, Vinod E. Nambudiri

et al.

American Journal of Clinical Dermatology, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

Citations

0

Predictive Factors for Sentinel Lymph Node Positivity in Melanoma Patients—The Role of Liquid Biopsy, MicroRNA and Gene Expression Profile Panels DOI Open Access
Federico Venturi, Elisabetta Magnaterra, Biagio Scotti

et al.

Cancers, 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

0

The Prognostic Value of the 31-Gene Expression Profile Test in Cutaneous Melanoma: A Systematic Review and Meta-Analysis DOI Open Access

Ryan A. Durgham,

Sami I. Nassar,

Ramazan Gün

et al.

Cancers, 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

1

Construction of an immune gene expression meta signature to assess the prognostic risk of colorectal cancer patients DOI
Carlos A. Orozco, Alejandro Mejía‐García, Yina Zambrano

et al.

Advances in genetics, Journal Year: 2024, Volume and Issue: unknown, P. 207 - 254

Published: Jan. 1, 2024

Language: Английский

Citations

0

Clarifying new molecular subtyping and precise treatment of melanoma based on disulfidptosis-related lncRNA signature DOI Creative Commons
Lei Yue, Long Wang, Pei Liu

et al.

European journal of medical research, Journal Year: 2024, Volume and Issue: 29(1)

Published: Sept. 28, 2024

Language: Английский

Citations

0

Use of Biological Information in the Diagnostic Process: A Glance into the Future of Dentistry DOI
Katherine France, Craig S. Miller

Oral Surgery Oral Medicine Oral Pathology and Oral Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

0

Federated learning for oncology: Breast Cancer subtyping Case Study Using Gene Expression DOI

Karl Paygambar,

Mallek Mziou-Sallami,

Fabien Baligand

et al.

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

Citations

0