Validation of a Spectral Flow Cytometry Single-Tube Panel for the Clinical Diagnosis and Follow-Up of Children and Adolescents with B-Cell Acute Lymphoblastic Leukemia

The ability of flow cytometry to identify and quantify the presence of cell populations defined by their expression profile of specific markers has made this technique a powerful and routinary tool in clinical diagnostic practice. Specifically in the field of hematological malignancies, flow cytometry allows the identification of the correct type and lineage of each patient's disease and also sensitively quantifies the presence of the disease at precise moments during treatment, that is, levels of measurable residual disease (MRD). The quantification of MRD by flow cytometry has allowed the adaptation of tailored therapies to patients, contributing to the improvement of the results of the different protocols in recent decades. In this context, our objective in the present work was to evaluate the potential impact that spectral flow cytometry can provide compared to conventional cytometry, which is the one usually used in clinics. We present here a comparative study of both technologies, spectral versus conventional flow cytometry, in primary samples corresponding to the diagnosis and follow-up of children and adolescents with acute lymphoblastic leukemia. Our initial experience demonstrates the feasibility of incorporating spectral flow cytometry into the routine workflow of a reference laboratory.

Authors

Institutions

Publication Details

Journal
Cells
Published
2024-11-15
DOI
https://doi.org/10.3390/cells13221891
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of a Spectral Flow Cytometry Single-Tube Panel for the Clinical Diagnosis and Follow-Up of Children and Adolescents with B-Cell Acute Lymphoblastic Leukemia

Ana Castillo‐Robleda, Manuel Ramı́rez, Alejandro Sanz, Gonzalo García-Aguilera
3 citations
Cells
Single-cell and spatial transcriptomics
0.70
article

Validation of a Spectral Flow Cytometry Single-Tube Panel for the Clinical Diagnosis and Follow-Up of Children and Adolescents with B-Cell Acute Lymphoblastic Leukemia

Ana Castillo‐Robleda, Manuel Ramı́rez, Alejandro Sanz, Gonzalo García-Aguilera
article en
3 citations

Abstract

The ability of flow cytometry to identify and quantify the presence of cell populations defined by their expression profile of specific markers has made this technique a powerful and routinary tool in clinical diagnostic practice. Specifically in the field of hematological malignancies, flow cytometry allows the identification of the correct type and lineage of each patient's disease and also sensitively quantifies the presence of the disease at precise moments during treatment, that is, levels of measurable residual disease (MRD). The quantification of MRD by flow cytometry has allowed the adaptation of tailored therapies to patients, contributing to the improvement of the results of the different protocols in recent decades. In this context, our objective in the present work was to evaluate the potential impact that spectral flow cytometry can provide compared to conventional cytometry, which is the one usually used in clinics. We present here a comparative study of both technologies, spectral versus conventional flow cytometry, in primary samples corresponding to the diagnosis and follow-up of children and adolescents with acute lymphoblastic leukemia. Our initial experience demonstrates the feasibility of incorporating spectral flow cytometry into the routine workflow of a reference laboratory.

CellsVol. 13(22)
Hospital Infantil Universitario Niño Jesús (ES)
Good health and well-being
Openalex Percentile: Top 29%
Single-cell and spatial transcriptomics
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.