Literature DB >> 32539315

Evaluation of Prognostic Significance of the International Staging System According to Glomerular Filtration Rate in Newly Diagnosed Multiple Myeloma Patients Eligible for Autologous Stem Cell Transplantation

Rafiye Çiftçiler1, Hakan Göker1, Haluk Demiroğlu1, İbrahim Celalettin Haznedaroğlu1, Nilgün Sayınalp1, Salih Aksu1, Osman Özcebe1, Yahya Büyükaşık1.   

Abstract

Objective: The prognosis of multiple myeloma (MM) patients is highly heterogeneous. The aim of this study is to determine the impact of patients’ renal functions on the prognostic performance of the International Staging System (ISS). In addition, we aimed to evaluate the results of survival of patients with ISS stages and normal renal functions and those with ISS stages and abnormal renal functions with this study. Materials and
Methods: Two hundred and four patients with newly diagnosed MM who received an autologous stem cell transplantation after induction chemotherapy in our tertiary care center between the years of 2001 and 2018 were evaluated.
Results: There were 153 (75%) MM patients who had a glomerular filtration rate (GFR) of ≥60 mL/min and 51 (25%) MM patients who had GFR of <60 mL/min at the time of diagnosis in this study. There was a strong correlation between ISS stage and GFR. The ISS stages were higher in patients who had GFR of <60 mL/min than patients who had GFR of ≥60 mL/min (p<0.001). Patients with GFR of <60 mL/min were significantly more prevalent in the ISS III group than ISS I and II (p<0.001).
Conclusion: This study showed that the ISS provides significant prognostic information in MM patients with GFR of ≥60 mL/min at diagnosis. However, in patients with impaired renal function at the time of diagnosis, B2-microglobulin may not be a good prognostic indicator since it may be affected by renal dysfunction as well as tumor burden.

Entities:  

Keywords:  Multiple myeloma; B2-microglobulin; International Staging System

Mesh:

Substances:

Year:  2020        PMID: 32539315      PMCID: PMC7927455          DOI: 10.4274/tjh.galenos.2020.2020.0115

Source DB:  PubMed          Journal:  Turk J Haematol        ISSN: 1300-7777            Impact factor:   1.831


  21 in total

1.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

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Journal:  Am J Kidney Dis       Date:  2002-02       Impact factor: 8.860

2.  Response-adjusted ISS (RaISS) is a simple and reliable prognostic scoring system for predicting progression-free survival in transplanted patients with multiple myeloma.

Authors:  Alessandro Corso; Monica Galli; Silvia Mangiacavalli; Fausto Rossini; Andrea Nozza; Cristiana Pascutto; Vittorio Montefusco; Luca Baldini; Anna Maria Cafro; Claudia Crippa; Mario Cazzola; Paolo Corradini
Journal:  Am J Hematol       Date:  2011-12-21       Impact factor: 10.047

3.  Toxicity and response criteria of the Eastern Cooperative Oncology Group.

Authors:  M M Oken; R H Creech; D C Tormey; J Horton; T E Davis; E T McFadden; P P Carbone
Journal:  Am J Clin Oncol       Date:  1982-12       Impact factor: 2.339

4.  The International Scoring System (ISS) for multiple myeloma remains a robust prognostic tool independently of patients' renal function.

Authors:  M A Dimopoulos; E Kastritis; E Michalis; C Tsatalas; M Michael; A Pouli; Z Kartasis; S Delimpasi; D Gika; A Zomas; M Roussou; K Konstantopoulos; A Parcharidou; K Zervas; E Terpos
Journal:  Ann Oncol       Date:  2011-06-07       Impact factor: 32.976

5.  Management of newly diagnosed symptomatic multiple myeloma: updated Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) consensus guidelines 2013.

Authors:  Joseph R Mikhael; David Dingli; Vivek Roy; Craig B Reeder; Francis K Buadi; Suzanne R Hayman; Angela Dispenzieri; Rafael Fonseca; Taimur Sher; Robert A Kyle; Yi Lin; Stephen J Russell; Shaji Kumar; P Leif Bergsagel; Steven R Zeldenrust; Nelson Leung; Matthew T Drake; Prashant Kapoor; Stephen M Ansell; Thomas E Witzig; John A Lust; Robert J Dalton; Morie A Gertz; A Keith Stewart; Keith Stewart; S Vincent Rajkumar; Asher Chanan-Khan; Martha Q Lacy
Journal:  Mayo Clin Proc       Date:  2013-04       Impact factor: 7.616

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Combining fluorescent in situ hybridization data with ISS staging improves risk assessment in myeloma: an International Myeloma Working Group collaborative project.

Authors:  H Avet-Loiseau; B G M Durie; M Cavo; M Attal; N Gutierrez; J Haessler; H Goldschmidt; R Hajek; J H Lee; O Sezer; B Barlogie; J Crowley; R Fonseca; N Testoni; F Ross; S V Rajkumar; P Sonneveld; J Lahuerta; P Moreau; G Morgan
Journal:  Leukemia       Date:  2012-10-03       Impact factor: 11.528

8.  Improved survival of patients with multiple myeloma after the introduction of novel agents and the applicability of the International Staging System (ISS): an analysis of the Greek Myeloma Study Group (GMSG).

Authors:  E Kastritis; K Zervas; A Symeonidis; E Terpos; S Delimbassi; N Anagnostopoulos; E Michali; A Zomas; E Katodritou; D Gika; A Pouli; D Christoulas; M Roussou; Z Kartasis; T Economopoulos; M A Dimopoulos
Journal:  Leukemia       Date:  2009-02-19       Impact factor: 11.528

9.  A novel prognostic model in myeloma based on co-segregating adverse FISH lesions and the ISS: analysis of patients treated in the MRC Myeloma IX trial.

Authors:  K D Boyd; F M Ross; L Chiecchio; G P Dagrada; Z J Konn; W J Tapper; B A Walker; C P Wardell; W M Gregory; A J Szubert; S E Bell; J A Child; G H Jackson; F E Davies; G J Morgan
Journal:  Leukemia       Date:  2011-08-12       Impact factor: 11.528

10.  Prediction of outcome in newly diagnosed myeloma: a meta-analysis of the molecular profiles of 1905 trial patients.

Authors:  V Shah; A L Sherborne; B A Walker; D C Johnson; E M Boyle; S Ellis; D B Begum; P Z Proszek; J R Jones; C Pawlyn; S Savola; M W Jenner; M T Drayson; R G Owen; R S Houlston; D A Cairns; W M Gregory; G Cook; F E Davies; G H Jackson; G J Morgan; M F Kaiser
Journal:  Leukemia       Date:  2017-06-06       Impact factor: 11.528

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  1 in total

1.  Super-Enhancer Associated Five-Gene Risk Score Model Predicts Overall Survival in Multiple Myeloma Patients.

Authors:  Tingting Qi; Jian Qu; Chao Tu; Qiong Lu; Guohua Li; Jiaojiao Wang; Qiang Qu
Journal:  Front Cell Dev Biol       Date:  2020-12-03
  1 in total

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