title: [Prognostic factors in low-grade lymphoma].
abstract: OBJECTIVE
  Prognostic factors in low grade non-Hodgkin's lymphoma (LGL) are not well established. The aim of this study is to investigate prognostic factors on LGL treated in our institution during the last decade.
  
  
  METHODS
  The study was carried out on 70 cases of newly diagnosed LGL, most treated with CVP or clorambucil and prednisone. The median follow-up was 37 months (1-132). Variables reported as prognostic factors in previous series were subjected to bivariate and multivariate analysis.
  
  
  RESULTS
  Relevant clinical features were: Ann Arbor III-IV stage 74%, ECOG > or = 2-17%, bone marrow involvement 60% and large tumor burden according to MD Anderson criteria 21%. Complete response (CR) was achieved in 50% and partial response in 29%. In bivariate analysis factors related with poor CR were B symptoms, large tumor burden, high LDH and more than one extranodal site involvement. Logistic regression showed that large tumor burden (p = 0.02; OR = 0.07) and B symptoms (p = 0.07; OR = 0.14) were the best prognostic factors of poor CR. Five year global survival (GS) was 55%, with a median of 76 months. In univariate analysis factors related with GS were ECOG > or = 2, B symptoms, bulky, large tumor burden, retroperitoneo involvement and absence of CR. In multivariate analysis the only factor related with poor GS was large tumor burden (p < 0.00001; RR = 5.93). When therapeutic response was included in the model, absence of CR (p = 0.008; RR = 3.40) and large tumour burden (p = 0.005; RR = 3.86) were the factors selected.
  
  
  CONCLUSIONS
  In LGL tumor burden was the most important prognostic variable. Tumor response showed less importance than in high grade lymphomas.
authors.affiliation: Servicio de Hematología y Hemoterapia, Hospital Universitario Marqués de Valdecilla, Santander.
authors.forename: M A
authors.initials: MA
authors.lastname: Gandarillas
authors.forename: E
authors.initials: E
authors.lastname: Conde
authors.forename: F
authors.initials: F
authors.lastname: Mazorra
authors.forename: M A
authors.initials: MA
authors.lastname: Cuadrado
authors.forename: J
authors.initials: J
authors.lastname: Baro
authors.forename: J
authors.initials: J
authors.lastname: Garijo
authors.forename: M
authors.initials: M
authors.lastname: Recio
authors.forename: C
authors.initials: C
authors.lastname: Richard
authors.forename: A
authors.initials: A
authors.lastname: Iriondo
authors.forename: A
authors.initials: A
authors.lastname: Zubizarreta
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D014408:Biomarkers, Tumor / Q000097:blood; D001853:Bone Marrow / Q000473:pathology; D002699:Chlorambucil / Q000008:administration & dosage; D003131:Combined Modality Therapy; D003520:Cyclophosphamide / Q000008:administration & dosage; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007770:L-Lactate Dehydrogenase / Q000097:blood; D008228:Lymphoma, Non-Hodgkin / Q000188:drug therapy / Q000401:mortality* / Q000473:pathology / Q000532:radiotherapy; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009363:Neoplasm Proteins / Q000097:blood; D009367:Neoplasm Staging; D011241:Prednisone / Q000008:administration & dosage; D011379:Prognosis; D012074:Remission Induction; D012189:Retrospective Studies; D013030:Spain / Q000453:epidemiology; D016896:Treatment Outcome; D014750:Vincristine / Q000008:administration & dosage
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins; D002699:Chlorambucil; D014750:Vincristine; D003520:Cyclophosphamide; D007770:L-Lactate Dehydrogenase; D011241:Prednisone