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Series GSE166711 Query DataSets for GSE166711
Status Public on Sep 26, 2021
Title FlowCT for the analysis of large immunophenotypic datasets and biomarker discovery in cancer immunology
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Large-scale immune monitoring is becoming routinely used in clinical trials to identify determinants of treatment responsiveness, particularly to immunotherapies. Flow cytometry remains one of the most versatile and high throughput approaches for single-cell analysis; however, manual interpretation of multidimensional data poses a challenge to capture full cellular diversity and provide reproducible results. We present FlowCT, a semi-automated workspace empowered to analyze large datasets that includes pre-processing, normalization, multiple dimensionality reduction techniques, automated clustering and predictive modeling tools. As a proof of concept, we used FlowCT to compare the T cell compartment in bone marrow (BM) vs peripheral blood (PB) of patients with smoldering multiple myeloma (MM); identify minimally-invasive immune biomarkers of progression from smoldering to active MM; define prognostic T cell subsets in the BM of patients with active MM after treatment intensification; and assess the longitudinal effect of maintenance therapy in BM T cells. A total of 354 samples were analyzed and immune signatures predictive of malignant transformation in 150 smoldering MM patients (hazard ratio [HR]: 1.7; P <.001), and of progression-free (HR: 4.09; P <.0001) and overall survival (HR: 3.12; P =.047) in 100 active MM patients, were identified. New data also emerged about stem cell memory T cells, the concordance between immune profiles in BM vs PB and the immunomodulatory effect of maintenance therapy. FlowCT is a new open-source computational approach that can be readily implemented by research laboratories to perform quality-control, analyze high-dimensional data, unveil cellular diversity and objectively identify biomarkers in large immune monitoring studies.
 
Overall design Ten T cell populations FACS sorted from 3 healthy donors
 
Contributor(s) Botta C, Maia C, Garcés J, Termini R, Pérez C, Manrique I, Burgos L, Zabaleta A, Alignani D, Sarvide S, Merino J, Puig N, Cedena M, Rossi M, Tassone P, Gentile M, Correale P, Borrello I, Terpos E, Jelinek T, Paiva A, Roccaro A, Goldschmidt H, Avet-Loiseau H, Rosiñol L, Mateos M, Martinez-Lopez J, Lahuerta J, Bladé J, San-Miguel JF, Paiva B
Citation(s) 34587246
Submission date Feb 12, 2021
Last update date Dec 27, 2021
Contact name Juan Jose Garces
E-mail(s) jgarces@unav.es
Organization name Clínica Universidad de Navarra - Centro de Investigación Médica Aplicada
Street address Av. Pío XII, 55
City Pamplona
State/province Navarra
ZIP/Postal code 31008
Country Spain
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (30)
GSM5079493 T cells CCR6 from healthy donor HD1
GSM5079494 T cells central memory from healthy donor HD1
GSM5079495 T cells CXCR3 CCR4 from healthy donor HD1
Relations
BioProject PRJNA701666
SRA SRP306235

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE166711_counts.cnt.txt.gz 1.0 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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