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 ((1)H 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.
  
  
  METHODS
  High-resolution (1)H 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 (r(2)=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.
authors.affiliation: Laboratory of Experimental Cardiology, Heart Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
authors.forename: Ignasi
authors.initials: I
authors.lastname: Barba
authors.forename: Carolina
authors.initials: C
authors.lastname: Sanz
authors.forename: Angels
authors.initials: A
authors.lastname: Barbera
authors.forename: Gustavo
authors.initials: G
authors.lastname: Tapia
authors.forename: José-Luis
authors.initials: JL
authors.lastname: Mate
authors.forename: David
authors.initials: D
authors.lastname: Garcia-Dorado
authors.forename: Josep-Maria
authors.initials: JM
authors.lastname: Ribera
authors.forename: Albert
authors.initials: A
authors.lastname: Oriol
mesh_terms: D000368:Aged; D000409:Alanine / Q000032:analysis*; D015703:Antigens, CD / Q000032:analysis; D000951:Antigens, Neoplasm / Q000032:analysis; D003401:Creatine / Q000032:analysis; D005260:Female; D018698:Glutamic Acid / Q000032:analysis; D006801:Humans; D016130:Immunophenotyping; D019394:Ki-67 Antigen / Q000032:analysis; D008198:Lymph Nodes / Q000737:chemistry*; D008224:Lymphoma, Follicular / Q000737:chemistry / Q000175:diagnosis* / Q000378:metabolism; D016403:Lymphoma, Large B-Cell, Diffuse / Q000737:chemistry / Q000175:diagnosis* / Q000378:metabolism; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D013654:Taurine / Q000032:analysis*
chemical_list: D015703:Antigens, CD; D000951:Antigens, Neoplasm; D019394:Ki-67 Antigen; D013654:Taurine; D018698:Glutamic Acid; D003401:Creatine; D000409:Alanine