Evidence map›Paper›PMID 40457714›Full record

ArticlePigment cell & melanoma research2025

Microfluidic Characterization and Analysis of Circulating Tumor Cells From Patients With Metastatic Melanoma.

Matthew C Mannino, Shuang G Zhao, Benjamin K Gibbs, Jennifer L Schehr, Isabella G Fernandez, Diego A Eyzaguirre, Alyssa M Hintz, Stephanie J Davis, Manushi N Vatani, Jacob C Caceres and 3 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Matthew C ManninoUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Shuang G ZhaoDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Benjamin K GibbsUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Jennifer L SchehrUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Isabella G FernandezUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Diego A EyzaguirreUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Alyssa M HintzUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Stephanie J DavisUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Manushi N VataniUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Jacob C CaceresUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.
Alexander BirbrairDepartment of Dermatology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Joshua M LangDivision of Hematology, Department of Medicine, Medical Oncology, and Palliative Care, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Vincent T MaDepartment of Dermatology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-8417-2787

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Development and Deployment of Liquid Biopsies in Bench Research and Clinical Trials in the UW Circulating Biomarker CoreR50CA283815 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SCHEHR, JENNIFER L · 2024 to 2025
$186k
NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR002373NCI NIH HHS R50 CA283815NIH National Center for Advancing Translational Sciences (NCATS) DP2 OD030734NIH National Center for Advancing Translational Sciences (NCATS) UL1TR002373
6 · The paper itself

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.

Indexed as

MelanomaMicrofluidic Analytical TechniquesMicrofluidicsNeoplastic Cells, CirculatingB7-H1 AntigenFemaleHumansMaleMiddle AgedNeoplasm MetastasisB7-H1 Antigencirculating tumor cellfluorescence microscopyhuman leukocyte antigen class Iimmune checkpoint inhibitorliquid biopsymelanomaprogrammed death Ligand‐1

Identifiers

PMID40457714
PMCPMC12130673

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.