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Multidimensional single-cell analysis of BCR signaling reveals proximal activation defect as a hallmark of chronic lymphocytic leukemia B cells.
Palomba, M Lia; Piersanti, Kelly; Ziegler, Carly G K; Decker, Hugo; Cotari, Jesse W; Bantilan, Kurt; Rijo, Ivelise; Gardner, Jeff R; Heaney, Mark; Bemis, Debra; Balderas, Robert; Malek, Sami N; Seymour, Erlene; Zelenetz, Andrew D; van den Brink, Marcel R M; Altan-Bonnet, Grégoire.
  • Palomba ML; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Piersanti K; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Ziegler CG; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Decker H; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Cotari JW; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Bantilan K; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Rijo I; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Gardner JR; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Heaney M; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Bemis D; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Balderas R; BD Biosciences, San Diego, California, United States of America.
  • Malek SN; Division of Hematology/Oncology, University of Michigan Health System, Ann Harbor, Michigan, United States of America.
  • Seymour E; Division of Hematology/Oncology, University of Michigan Health System, Ann Harbor, Michigan, United States of America.
  • Zelenetz AD; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • van den Brink MR; Division of Hematology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
  • Altan-Bonnet G; Center Cancer Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America ; Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America.
PLoS One ; 9(1): e79987, 2014.
Article en En | MEDLINE | ID: mdl-24489640
ABSTRACT

PURPOSE:

Chronic Lymphocytic Leukemia (CLL) is defined by a perturbed B-cell receptor-mediated signaling machinery. We aimed to model differential signaling behavior between B cells from CLL and healthy individuals to pinpoint modes of dysregulation. EXPERIMENTAL

DESIGN:

We developed an experimental methodology combining immunophenotyping, multiplexed phosphospecific flow cytometry, and multifactorial statistical modeling. Utilizing patterns of signaling network covariance, we modeled BCR signaling in 67 CLL patients using Partial Least Squares Regression (PLSR). Results from multidimensional modeling were validated using an independent test cohort of 38 patients.

RESULTS:

We identified a dynamic and variable imbalance between proximal (pSYK, pBTK) and distal (pPLCγ2, pBLNK, ppERK) phosphoresponses. PLSR identified the relationship between upstream tyrosine kinase SYK and its target, PLCγ2, as maximally predictive and sufficient to distinguish CLL from healthy samples, pointing to this juncture in the signaling pathway as a hallmark of CLL B cells. Specific BCR pathway signaling signatures that correlate with the disease and its degree of aggressiveness were identified. Heterogeneity in the PLSR response variable within the B cell population is both a characteristic mark of healthy samples and predictive of disease aggressiveness.

CONCLUSION:

Single-cell multidimensional analysis of BCR signaling permitted focused analysis of the variability and heterogeneity of signaling behavior from patient-to-patient, and from cell-to-cell. Disruption of the pSYK/pPLCγ2 relationship is uncovered as a robust hallmark of CLL B cell signaling behavior. Together, these observations implicate novel elements of the BCR signal transduction as potential therapeutic targets.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas Tirosina Quinasas / Receptores de Antígenos de Linfocitos B / Leucemia Linfocítica Crónica de Células B / Transducción de Señal / Regulación Leucémica de la Expresión Génica / Modelos Estadísticos / Péptidos y Proteínas de Señalización Intracelular / Fosfolipasa C gamma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas Tirosina Quinasas / Receptores de Antígenos de Linfocitos B / Leucemia Linfocítica Crónica de Células B / Transducción de Señal / Regulación Leucémica de la Expresión Génica / Modelos Estadísticos / Péptidos y Proteínas de Señalización Intracelular / Fosfolipasa C gamma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2014 Tipo del documento: Article