Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas

Ignasi Barba; Carolina Sanz; Angels Barbera; Gustavo Tapia; José Luis Mate; David Garcia-Dorado; Josep Maria Ribera; Albert Oriol

doi:10.1016/j.exphem.2009.08.006

Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas

Ignasi Barba, Carolina Sanz, Angels Barbera, Gustavo Tapia, José Luis Mate, David Garcia-Dorado, Josep Maria Ribera, Albert Oriol^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Abstract

Objective: To investigate if proton nuclear magnetic resonance (¹H NMR) spectroscopy-based metabolic profiling was able to differentiate follicular lymphoma (FL) from diffuse large B-cell lymphoma (DLBCL) and to study which metabolites were responsible for the differences. Materials and Methods: High-resolution ¹H NMR spectra was obtained from fresh samples of lymph node biopsies obtained consecutively at one center (14 FL and 17 DLBCL). Spectra were processed using pattern-recognition methods. Results: Discriminant models were able to differentiate between the two tumor types with a 86% sensitivity and a 76% specificity; the metabolites that most contributed to the discrimination were a relative increase of alanine in the case of DLBCL and a relative increase of taurine in FL. Metabolic models had a significant but weak correlation with Ki67 expression (r² = 0.42; p = 0.002). Conclusions: We have proved that it is possible to differentiate between FL and DLBCL based on their NMR metabolic profiles. This approach may potentially be applicable as a noninvasive tool for diagnostic and treatment follow-up in the clinical setting using conventional magnetic resonance systems.

Original language	American English
Pages (from-to)	1259-1265
Number of pages	7
Journal	Experimental Hematology
Volume	37
Issue number	11
DOIs	https://doi.org/10.1016/j.exphem.2009.08.006
Publication status	Published - Nov 2009

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10.1016/j.exphem.2009.08.006

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title = "Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas",

abstract = "Objective: To investigate if proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolic profiling was able to differentiate follicular lymphoma (FL) from diffuse large B-cell lymphoma (DLBCL) and to study which metabolites were responsible for the differences. Materials and Methods: High-resolution 1H NMR spectra was obtained from fresh samples of lymph node biopsies obtained consecutively at one center (14 FL and 17 DLBCL). Spectra were processed using pattern-recognition methods. Results: Discriminant models were able to differentiate between the two tumor types with a 86% sensitivity and a 76% specificity; the metabolites that most contributed to the discrimination were a relative increase of alanine in the case of DLBCL and a relative increase of taurine in FL. Metabolic models had a significant but weak correlation with Ki67 expression (r2 = 0.42; p = 0.002). Conclusions: We have proved that it is possible to differentiate between FL and DLBCL based on their NMR metabolic profiles. This approach may potentially be applicable as a noninvasive tool for diagnostic and treatment follow-up in the clinical setting using conventional magnetic resonance systems.",

author = "Ignasi Barba and Carolina Sanz and Angels Barbera and Gustavo Tapia and Mate, {Jos{\'e} Luis} and David Garcia-Dorado and Ribera, {Josep Maria} and Albert Oriol",

note = "Funding Information: This work was supported by RECAVA, an initiative of Instituto de Salud Carlos III (Madrid, Spain) and from grants PI051490 from FIS (Fondo de Investigaciones Sanitarias) and RD06/0020/1056 from RETICS (Redes Tematicas de Investigacion Cooperativa Sanitaria). Copyright: Copyright 2011 Elsevier B.V., All rights reserved.",

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doi = "10.1016/j.exphem.2009.08.006",

language = "Ingl{\'e}s estadounidense",

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Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas. / Barba, Ignasi; Sanz, Carolina; Barbera, Angels; Tapia, Gustavo ; Mate, José Luis; Garcia-Dorado, David; Ribera, Josep Maria; Oriol, Albert.

In: Experimental Hematology, Vol. 37, No. 11, 11.2009, p. 1259-1265.

Research output: Contribution to journal › Article › Research › peer-review

TY - JOUR

T1 - Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas

AU - Barba, Ignasi

AU - Sanz, Carolina

AU - Barbera, Angels

AU - Tapia, Gustavo

AU - Mate, José Luis

AU - Garcia-Dorado, David

AU - Ribera, Josep Maria

AU - Oriol, Albert

N1 - Funding Information: This work was supported by RECAVA, an initiative of Instituto de Salud Carlos III (Madrid, Spain) and from grants PI051490 from FIS (Fondo de Investigaciones Sanitarias) and RD06/0020/1056 from RETICS (Redes Tematicas de Investigacion Cooperativa Sanitaria). Copyright: Copyright 2011 Elsevier B.V., All rights reserved.

PY - 2009/11

Y1 - 2009/11

N2 - Objective: To investigate if proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolic profiling was able to differentiate follicular lymphoma (FL) from diffuse large B-cell lymphoma (DLBCL) and to study which metabolites were responsible for the differences. Materials and Methods: High-resolution 1H NMR spectra was obtained from fresh samples of lymph node biopsies obtained consecutively at one center (14 FL and 17 DLBCL). Spectra were processed using pattern-recognition methods. Results: Discriminant models were able to differentiate between the two tumor types with a 86% sensitivity and a 76% specificity; the metabolites that most contributed to the discrimination were a relative increase of alanine in the case of DLBCL and a relative increase of taurine in FL. Metabolic models had a significant but weak correlation with Ki67 expression (r2 = 0.42; p = 0.002). Conclusions: We have proved that it is possible to differentiate between FL and DLBCL based on their NMR metabolic profiles. This approach may potentially be applicable as a noninvasive tool for diagnostic and treatment follow-up in the clinical setting using conventional magnetic resonance systems.

AB - Objective: To investigate if proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolic profiling was able to differentiate follicular lymphoma (FL) from diffuse large B-cell lymphoma (DLBCL) and to study which metabolites were responsible for the differences. Materials and Methods: High-resolution 1H NMR spectra was obtained from fresh samples of lymph node biopsies obtained consecutively at one center (14 FL and 17 DLBCL). Spectra were processed using pattern-recognition methods. Results: Discriminant models were able to differentiate between the two tumor types with a 86% sensitivity and a 76% specificity; the metabolites that most contributed to the discrimination were a relative increase of alanine in the case of DLBCL and a relative increase of taurine in FL. Metabolic models had a significant but weak correlation with Ki67 expression (r2 = 0.42; p = 0.002). Conclusions: We have proved that it is possible to differentiate between FL and DLBCL based on their NMR metabolic profiles. This approach may potentially be applicable as a noninvasive tool for diagnostic and treatment follow-up in the clinical setting using conventional magnetic resonance systems.

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DO - 10.1016/j.exphem.2009.08.006

M3 - Artículo

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AN - SCOPUS:70349981334

VL - 37

SP - 1259

EP - 1265

JO - Experimental Hematology

JF - Experimental Hematology

SN - 0301-472X

IS - 11

ER -

Metabolic fingerprinting of fresh lymphoma samples used to discriminate between follicular and diffuse large B-cell lymphomas

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