Abstract
The recently introduced Revised International Staging System (R-ISS) for multiple myeloma (MM) integrates albumin, β2 microglobulin, lactate dehydrogenase (LDH) with high-risk cytogenetic aberrations (CA), i.e., t(4;14) and t(14;16) and del17p using fluorescent in situ hybridization (FISH). We evaluated utility of nucleic acid-based tests of multiplex ligation-based probe amplification (MLPA) and quantitative real-time polymerase chain reaction (qRT-PCR) to define the CA and the R-ISS categories as per this approach were evaluated for their ability to predict outcome in terms of response, progression-free (PFS), and overall survival (OS). In this study (n = 180), 17 (9.4%), 118 (65.6%), and 45 (25%) patients were assigned to R-ISS1, R-ISS2, and R-ISS3 categories with statistically significant differences in median PFS (p = 0.02) and OS (p < 0.001).On univariate analysis, serum creatinine, LDH, 17p deletion, chromosome 1q gain, and response after first induction therapy were associated with statistically significant differences (p < 0.05) in PFS and in addition, age> 65 years and use of triplet therapy with OS. On multivariate analysis, only serum creatinine, LDH, and response after first induction therapy retained significance for predicting PFS and in addition, use of triplet therapy retained significance for the OS. The proposed nucleic acid-based algorithm using qRT-PCR and MLPA for R-ISS is resource-effective in terms of small quantities of sample required; feasibility of batch processing and reduced overall cost for the total number of regions evaluated and retained the prognostic significance of R-ISS, making it suitable for clinical practice for molecular characterization of MM.
Similar content being viewed by others
References
Palumbo A, Avet-Loiseau H, Oliva S, Lokhorst HM, Goldschmidt H, Rosinol L, Richardson P, Caltagirone S, Lahuerta JJ, Facon T, Bringhen S, Gay F, Attal M, Passera R, Spencer A, Offidani M, Kumar S, Musto P, Lonial S, Petrucci MT, Orlowski RZ, Zamagni E, Morgan G, Dimopoulos MA, Durie BG, Anderson KC, Sonneveld P, San Miguel J, Cavo M, Rajkumar SV, Moreau P (2015) Revised international staging system for multiple myeloma: a report from International Myeloma Working Group. J Clin Oncol 33:2863–2869
Morgan GJ, Walker BA, Davies FE (2012) The genetic architecture of multiple myeloma. Nat Rev Cancer 12:335–348
Kaiser MF, Walker BA, Hockley SL, Begum DB, Wardell CP, Gonzalez D, Ross FM, Davies FE, Morgan GJ (2013) A TC classification-based predictor for multiple myeloma using multiplexed real-time quantitative PCR. Leukemia 27:1754–1757
Rajkumar SV, Dimopoulos MA, Palumbo A, Blade J, Merlini G, Mateos MV, Kumar S, Hillengass J, Kastritis E, Richardson P, Landgren O, Paiva B, Dispenzieri A, Weiss B, LeLeu X, Zweegman S, Lonial S, Rosinol L, Zamagni E, Jagannath S, Sezer O, Kristinsson SY, Caers J, Usmani SZ, Lahuerta JJ, Johnsen HE, Beksac M, Cavo M, Goldschmidt H, Terpos E, Kyle RA, Anderson KC, Durie BG, Miguel JF (2014) International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol 15:e538–48
Schwab CJ, Jones LR, Morrison H, Ryan SL, Yigittop H, Schouten JP, Harrison CJ (2010) Evaluation of multiplex ligation-dependent probe amplification as a method for the detection of copy number abnormalities in B-cell precursor acute lymphoblastic leukemia. Genes Chromosom Cancer 49:1104–1113
Greipp PR, San Miguel J, Durie BG, Crowley JJ, Barlogie B, Bladé J, Boccadoro M, Child JA, Avet-Loiseau H, Kyle RA, Lahuerta JJ, Ludwig H, Morgan G, Powles R, Shimizu K, Shustik C, Sonneveld P, Tosi P, Turesson I, Westin J (2005) International staging system for multiple myeloma. J Clin Oncol 23:3412–3420
Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P, Munshi N, Lonial S, Bladé J, Mateos MV, Dimopoulos M, Kastritis E, Boccadoro M, Orlowski R, Goldschmidt H, Spencer A, Hou J, Chng WJ, Usmani SZ, Zamagni E, Shimizu K, Jagannath S, Johnsen HE, Terpos E, Reiman A, Kyle RA, Sonneveld P, Richardson PG, McCarthy P, Ludwig H, Chen W, Cavo M, Harousseau JL, Lentzsch S, Hillengass J, Palumbo A, Orfao A, Rajkumar SV, Miguel JS, Avet-Loiseau H (2016) International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol 17:e328–e346
Uno H, Cai T, Pencina MJ, D'Agostino RB, Wei LJ (2011) On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Stat Med 30:1105–1117
Uno H (2013) survC1: C-statistics for risk prediction models with censored survival data. R package version, 1.0–2. https://CRAN.R-project.org/package=survC1
Cho H, Yoon DH, Lee JB, Kim SY, Moon JH, Do YR LJH, Park Y, Lee HS, Eom HS, Shin HJ, Min CK, Kim JS, Jo JC, Kang HJ, Mun YC, Lee WS, Lee JJ, Suh C, Kim K, the Korean Multiple Myeloma Working Party (2017) Comprehensive evaluation of the revised international staging system in multiple myeloma patients treated with novel agents as a primary therapy. Am J Hematol 92:1280–1286
Bila J, Jelicic J, Dencic Fekete M, Trajkovic G, Sretenovic A, Perunicic Jovanovic M, Antic D, Mihaljevic B (2017) The revised international staging system compared to the classical international staging system better discriminates risk groups among transplant-ineligible multiple myeloma patients. Oncol Res Treat 40:616–620
Jimenez-Zepeda VH, Duggan P, Neri P, Rashid-Kolvear F, Tay J, Bahlis N (2016) Revised international staging system applied to real world multiple myeloma patients. Clin Lymphoma Myeloma Leuk 16:511–518
Kastritis E, Terpos E, Roussou M, Gavriatopoulou M, Migkou M, Eleutherakis-Papaiakovou E, Fotiou D, Ziogas D, Panagiotidis I, Kafantari E, Giannouli S, Zomas A, Konstantopoulos K, Dimopoulos MA (2017) Evaluation of the revised international staging system in an independent cohort of unselected patients with multiple myeloma. Haematologica 102:593–599
Durie BG, Hoering A, Abidi MH, Rajkumar SV, Epstein J, Kahanic SP, Thakuri M, Reu F, Reynolds CM, Sexton R, Orlowski RZ, Barlogie B, Dispenzieri A (2017) Bortezomib with lenalidomide and dexamethasone versus lenalidomide and dexamethasone alone in patients with newly diagnosed myeloma without intent for immediate autologous stem-cell transplant (SWOG S0777): a randomised, open-label, phase 3 trial. Lancet 389:519–527
Cavo M, Tacchetti P, Patriarca F, Petrucci MT, Pantani L, Galli M, Di Raimondo F, Crippa C, Zamagni E, Palumbo A, Offidani M, Corradini P, Narni F, Spadano A, Pescosta N, Deliliers GL, Ledda A, Cellini C, Caravita T, Tosi P, Baccarani M, GIMEMA Italian Myeloma Network (2010) Bortezomib with thalidomide plus dexamethasone compared with thalidomide plus dexamethasone as induction therapy before, and consolidation therapy after, double autologous stem-cell transplantation in newly diagnosed multiple myeloma: a randomised phase 3 study. Lancet 376:2075–2085
Barlogie B, Anaissie E, van Rhee F, Haessler J, Hollmig K, Pineda-Roman M, Cottler-Fox M, Mohiuddin A, Alsayed Y, Tricot G, Bolejack V, Zangari M, Epstein J, Petty N, Steward D, Jenkins B, Gurley J, Sullivan E, Crowley J, Shaughnessy JD Jr (2007) Incorporating bortezomib into upfront treatment for multiple myeloma: early results of total therapy 3. Br J Haematol 138:176–185
Van Rhee F, Szymonifka J, Anaissie E, Nair B, Waheed S, Alsayed Y, Petty N, Shaughnessy JD Jr, Hoering A, Crowley J, Barlogie B (2010) Total therapy 3 for multiple myeloma: prognostic implications of cumulative dosing and premature discontinuation of VTD maintenance components, bortezomib, thalidomide, and dexamethasone, relevant to all phases of therapy. Blood 116:1220–1227
Nair B, van Rhee F, Shaughnessy JD Jr, Anaissie E, Szymonifka J, Hoering A, Alsayed Y, Waheed S, Crowley J, Barlogie B (2010) Superior results of total therapy 3 (2003-33) in gene expression profiling-defined low-risk multiple myeloma confirmed in subsequent trial 2006-66 with VRD maintenance. Blood 115:4168–4173
Funding
The financial support was provided by Department of Biotechnology (BT/ PR7136 /MED /30/901/2012 and BT/MED/30/SP11006/2015), Ministry of Science & Technology, Government of India, and All India Institute of Medical Sciences, New Delhi (A411/RS) to RG for carrying out the research work.
Author information
Authors and Affiliations
Contributions
RG designed the study, analyzed clinical and experimental data, and wrote the manuscript; GK analyzed clinical and experimental data and reviewed the manuscript; LR and NM performed the experiments under the guidance of RG; MD, VS, and SK assisted LR and NM in experimentation part; LK and AS evaluated the clinical data and reviewed the manuscript.
Corresponding author
Ethics declarations
This study was carried out according to the Helsinki declaration. The informed consent was obtained from all the participants included in this study as per the guidelines of Ethics Committee of All India Institute of Medical Sciences.
Conflict of interest
The authors declare that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Gupta, R., Kaur, G., Kumar, L. et al. Nucleic acid based risk assessment and staging for clinical practice in multiple myeloma. Ann Hematol 97, 2447–2454 (2018). https://doi.org/10.1007/s00277-018-3457-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00277-018-3457-8