ArticlePigment cell & melanoma research2025
Microfluidic Characterization and Analysis of Circulating Tumor Cells From Patients With Metastatic Melanoma.
Article in Pigment cell & melanoma research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Immune landscape of melanoma: Tumor microenvironment, resistance mechanisms, and predictive biomarkers.World journal of clinical oncology · 2026Review
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Authors and funding
13 authors.
Funding
Abstract
Circulating tumor cells (CTCs) can provide non-invasive insight into how a cancer patient responds to therapy. Their role in disease monitoring of advanced melanoma patients treated with immune checkpoint inhibitors (ICI) is unknown. CTC protein expression of human leukocyte antigen class-I (HLA I) and programmed death ligand-1 (PD-L1) may give insight into how a patient's disease evolves over the course of treatment. In our study, we utilize microfluidic Exclusion-based Sample Preparation (ESP) technology to isolate and characterize CTCs from patients with advanced-stage melanoma. CTC samples from melanoma patients are collected, captured, and stained. A range of 2 to 35 CTCs is observed in a cohort of 16 samples from 10 advanced-stage melanoma patients treated with ICI therapy. Single-cell protein expression data is generated from image cytometry analysis and used to calculate mean HLA I and PD-L1 expression. Using our ESP capture approach, we successfully detect phenotypic and numerical heterogeneity in CTCs from melanoma patients. Our assay shows sufficient capture sensitivity and promising prognostic and predictive information, as we illustrate in our case example. A greater clinical sample size will be necessary to confirm the diagnostic sensitivity and specificity of the assay in predicting clinical outcomes for patients with advanced-stage melanoma.
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