KD Kaplanov1,2, NP Volkov1, TYu Klitochenko1, IV Matveeva1, AL Shipaeva1, MN Shirokova1, NV Davydova3, EG Gemdzhian4, DS Abramov5, DM Konovalov5, GL Snigur2, NA Red’kina1
1 Volgograd Regional Clinical Oncology Dispensary No. 1, 78 Zemlyachki str., Volgograd, Russian Federation, 400138
2 Volgograd Medical Scientific Center, 1G Rokossovskogo str., Volgograd, Russian Federation, 400081
3 Consultation and Diagnosis Polyclinic No. 2, 114A Angarskaya str., Volgograd, Russian Federation, 400081
4 National Medical Hematology Research Center, 4а Novyi Zykovskii pr-d, Moscow, Russian Federation, 125167
5 Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, 1 Samory Mashela str., Moscow, Russian Federation, 117997
For correspondence: Kamil’ Daniyalovich Kaplanov, MD, PhD, 78 Zemlyachki str., Volgograd, Russian Federation, 400138; e-mail: kamilos@mail.ru
For citation: Kaplanov KD, Volkov NP, Klitochenko TYu, et al. Analysis Results of the Regional Registry of Patients with Diffuse Large B-cell Lymphoma: Risk Factors and Chemo-Immunotherapy Issues. Clinical oncohematology. 2019;12(2):154–64.
DOI: 10.21320/2500-2139-2019-12-2-154-164
ABSTRACT
Background & Aims. At least one third of patients with diffuse large B-cell lymphoma (DLBCL) are resistant to first-line therapy. R-CHOP chemo-immunotherapy does not yield acceptable results in high-risk patients. Effectiveness of options based either on increasing the dose intensity or on including auto-HSCT into the first-line therapy was not supported by the results of controlled studies. With this background the present study focuses on options, issues and failures of first-line on the basis of long-term follow-up of DLBCL patient population in the Volgograd Region.
Materials & Methods. From 2004 to 2017 the population-based registry of the Hematology Department in the Volgograd Regional Clinical Oncology Dispensary included all 492 primary DLBCL patients: 235 (48 %) men and 257 (52 %) women aged 18 to 88 years. Mean and median age was 59 and 61 years, respectively. CHOP therapy was administered to 206 (42 %) patients, and 223 (45 %) patients received R-CHOP. Other regimens including NHL-BFM-90 and R-DA-EPOCH were used only in 63 (13 %) patients. Second- and third-line therapies were administered to 145 (30 %) and 54 (11 %) patients, respectively. Value of the International Prognostic Index (IPI) and immunomorphologic characteristics was determined by multivariate Cox regression analysis. Pharmacoeconomic aspect of first-line therapy failures was analyzed using Markov model.
Results. Improvement of DLBCL therapy effects with the use of R-CHOP chemo-immunotherapy is particularly obvious in the groups with favorable and intermediate prognosis with 5-year overall survival (OS) of 90 % and 69 %, respectively. R-CHOP results are not considered to be satisfactory in the high-risk group: 5-year OS was 38 %. Pharmacoeconomic analysis proves the advantage of chemo-immunotherapy strategy in comparison with the period before rituximab era in terms of the life years gained (LYG) and the incremental cost-effectiveness ratio (ICER). With respect to immunotherapy effects the most significant immunomorphologic parameter is bcl-2 tumor cell expression. In the group of patients with bcl-2 > 50 % 5-year OS was 61 % with median of 88 months, event-free survival (EFS) was 52 % with median of 62 months. In the group without bcl-2 expression above the threshold 5-year OS and EFS were 88 % and 75 %, respectively, medians were not achieved. With c-myc and bcl-2 coexpression EFS and OS appeared to be even worse: 5-year EFS was 29 % with median of 6 months, and 5-year OS was 31 % with median of 15 months.
Conclusion. The analysis of actual practice demonstrates the need for new options of first-line therapy for DLBCL high-risk patients and also for introducing new discriminating prognostic factors which include the IPI-independent ones.
Keywords: diffuse large B-cell lymphoma, R-CHOP, chemoimmunotherapy, survival, pharmacoeconomics, Markov model, life years gained (LYG), incremental cost-effectiveness ratio (ICER).
Received: July 16, 2018
Accepted: January 10, 2019
REFERENCES
-
Armitage JO, Weisenburger DD. New approach to classifying non-Hodgkin’s lymphomas: clinical features of the major histologic subtypes. Non-Hodgkin’s Lymphoma Classification Project. J Clin Oncol. 1998;16(8):2780–95. doi: 10.1200/JCO.1998.16.8.2780.
-
Smith A, Howell D, Patmore R, et al. Incidence of haematological malignancy by sub-type: a report from the Haematological Malignancy Research Network. Br J Cancer. 2011;105(11):1684–92. doi: 10.1038/bjc.2011.450.
-
Cunningham D, Hawkes EA, Jack A, et al. Rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisolone in patients with newly diagnosed diffuse large B-cell non-Hodgkin lymphoma: a phase 3 comparison of dose intensification with 14-day versus 21-day cycles. Lancet. 2013;381(9880):1817–26. doi: 10.1016/S0140-6736(13)60313-X.
-
Ziepert, M, Hasenclever D, Kuhnt E, et al. Standard international prognostic index remains a valid predictor of outcome for patients with aggressive CD20+ B-cell lymphoma in the rituximab era. J Clin Oncol. 2010;28(14):2373–80. doi: 10.1200/JCO.2009.26.2493.
-
Swerdlow SH, Campo E, Pileri SA, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127(20):2375–90. doi: 10.1182/blood-2016-01-643569.
-
Sehn LH, Gascoyne RD. Diffuse large B-cell lymphoma: optimizing outcome in the context of clinical and biologic heterogeneity. Blood. 2015;125(1):22–32. doi: 10.1182/blood-2014-05-577189.
-
Tilly H, Gomes da Silva M, Vitolo U, et al. Diffuse large B-cell lymphoma (DLBCL): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2015;26(Suppl 5):v116–25. doi: 10.1093/annonc/mdv304.
-
Prochazka KT, Melchardt T, Posch F, et al. NCCN-IPI score-independent prognostic potential of pretreatment uric acid levels for clinical outcome of diffuse large B-cell lymphoma patients. Br J Cancer. 2016;115(10):1264–72. doi: 10.1038/bjc.2016.325.
-
Montalban C, Diaz-Lopez A, Dlouhy I, et al. Validation of the NCCN-IPI for diffuse large B-cell lymphoma (DLBCL): the addition of beta2-microglobulin yields a more accurate GELTAMO-IPI. Br J Haematol. 2017;176(6):918–28. doi: 10.1111/bjh.14489.
-
Wight J, Chong G, Grigg A, et al. Prognostication of diffuse large B-cell lymphoma in the molecular era: moving beyond the IPI. Blood. 2018;32(5):400–15. doi: 10.1016/j.blre.2018.03.005.
-
Khor S, Beca J, Krahm M, et al. Real world costs and cost-effectiveness of Rituximab for diffuse large B-cell lymphoma patients: A population-based analysis. BMC Cancer. 2014;14(1):586. doi: 10.1186/1471-2407-14-586.
-
Van Keep M, Gairy K, Seshagiri D, et al. Cost-effectiveness analysis of bortezomib in combination with rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (VR-CAP) in patients with previously untreated mantle cell lymphoma. BMC Cancer. 2016;16(1):598. doi: 10.1186/s12885-016-2633-2.
-
Капланов К.Д., Шипаева А.Л., Васильева В.А. и др. Международный прогностический индекс при распространенных стадиях лимфомы Ходжкина в условиях современной терапии. Клиническая онкогематология. 2013;6(3):294–302.
[Kaplanov KD, Shipaeva AL, Vasil’eva VA, et al. International prognostic score in advanced Hodgkin’s lymphoma. Klinicheskaya onkogematologiya. 2013;6(3):294–302. (In Russ)]
-
Капланов К.Д., Шипаева А.Л., Васильева В.А. и др. Эффективность программ химиотерапии первой линии при различных стадиях лимфомы Ходжкина. Клиническая онкогематология. 2012;5(1):22–9.
[Kaplanov KD, Shipaeva AL, Vasil’eva VA, et al. Efficacy of first line chemotherapy programs for different stages of Hodgkin’s lymphomas. Klinicheskaya onkogematologiya. 2012;5(1):22–9. (In Russ)]
-
Капланов К.Д., Волков Н.П., Клиточенко Т.Ю. и др. Первая линия терапии лимфомы из клеток зоны мантии: анализ эффективности и клинико-экономическая оценка. Клиническая онкогематология. 2018;11(2):150–9. doi: 10.21320/2500-2139-2018-11-2-150-159.
[Kaplanov KD, Volkov NP, Klitochenko TYu, et al. First-Line Treatment of Mantle-Cell Lymphoma: Analysis of Effectiveness and Cost-Effectiveness. Clinical oncohematology. 2018;11(2):150–9. doi: 10.21320/2500-2139-2018-11-2-150-159. (In Russ)]
-
Abner EL, Charnigo RJ, Kryscio RJ, et al. Markov chains and semi-Markov models in time-to-event analysis. J Biom Biostat. 2013;S1:e001. doi: 10.4172/2155-6180.S1-e001.
-
Wyndham W, Jung sin-Ho, Brandelyn P, et al. Phase III Randomized Study of R-CHOP Versus DA-EPOCH-R and Molecular Analysis of Untreated Diffuse Large B-Cell Lymphoma: CALGB/Alliance 50303. Blood. 2016;128:469.
-
The International Non-Hodgkin’s Lymphoma Prognostic Factors Project. A predictive model for aggressive non-Hodgkin’s lymphoma. N Engl J Med. 1993;329(14):987–94. doi: 10.1056/NEJM199309303291402.
-
Wang HI, Smith A, Aas E, et al. Treatment cost and life expectancy of diffuse large B-cell lymphoma (DLBCL): a discrete event simulation model on a UK population-based observational cohort. Eur J Health Econ. 2017;18(2):255–67. doi: 10.1007/s10198-016-0775-4.
-
Gisselbrecht C, Glass B, Mounier N, et al. Salvage regimens with autologous transplantation for relapsed large B-cell lymphoma in the rituximab era. J Clin Oncol. 2010; 28(27):4184–90. doi: 10.1200/JCO.2010.28.1618.
-
Gisselbrecht C, Schmitz N, Mounier N, et al. Rituximab maintenance therapy after autologous stem-cell transplantation in patients with relapsed CD20(+) diffuse large B-cell lymphoma: final analysis of the collaborative trial in relapsed aggressive lymphoma. J Clin Oncol. 2012;30(36):4462–9. doi: 10.1200/JCO.2012.41.9416.
-
Crump M, Neelapu SS, Farooq U, et al. Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study. Blood. 2017;130(16):1800–8. doi: 10.1182/blood-2017-11-817775.
-
Sehn LH, Berry B, Chhanabhai M, et al. The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP. Blood. 2007;109(5):1857–61. doi: 10.1182/blood-2006-08-038257.
-
Gang AO, Pedersen M, d’Amore F, et al. A clinically based prognostic index for diffuse large B-cell lymphoma with a cut-off at 70 years of age significantly improves prognostic stratification: population-based analysis from the Danish Lymphoma Registry. Leuk Lymphoma. 2015;56(9):2556–62. doi: 10.3109/10428194.2015.1010078.
-
Zhou Z, Sehn LH, Rademaker AW, et al. An enhanced International Prognostic Index (NCCN-IPI) for patients with diffuse large B-cell lymphoma treated in the rituximab era. Blood 2014;123(6):837–42. doi: 10.1182/blood-2014-06-583476.
-
Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med. 2006;25(1):127–41. doi: 10.1002/sim.2331.
-
Harrell FE. Regression modeling strategies. New York: Springer-Verlag; 2001. doi: 10.1007/978-1-4757-3462-1.
-
Biccler J, Eloranta S, de Nully Brown P, et al. Simplicity at the cost of predictive accuracy in diffuse large B-cell lymphoma: a critical assessment of the R-IPI, IPI, and NCCN-IPI. Cancer Med. 2018;7(1):114–22. doi: 10.1002/cam4.1271.
-
Johnson NA, Slack GW, Savage KJ, et al. Concurrent expression of MYC and BCL2 in diffuse large B-cell lymphoma treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone. J Clin Oncol. 2012;30(28):3452–9. doi: 10.1200/JCO.2011.41.0985.
-
Schneider KMС, Banks PM, Collie AM, et al. Dual expression of MYC and BCL2 proteins predicts worse outcomes in diffuse large B-cell lymphoma. Leuk Lymphoma. 2016;57(7):1640–8. doi: 10.3109/10428194.2015.1101099.
-
Barrans SL, Evans PA, O’Connor SJ, et al. The t(14;18) is associated with germinal center-derived diffuse large B-cell lymphoma and is a strong predictor of outcome. Clin Cancer Res. 2003;9(6):2133–9.
-
Tsuyama N, Sakata S, Baba S, et al. BCL2 expression in DLBCL: reappraisal of immunohistochemistry with new criteria for therapeutic biomarker evaluation. Blood. 2017;130(4):489–500. doi: 10.1182/blood-2016-12-759621.
-
Burton C, Barrans S, Ahmed S, et al. Cross-Platform validation of gene expression profiling (GEP) based cell of origin classification in a clinical laboratory setting. Hematol Oncol. 2017;35(S2):107. doi: 10.1002/hon.2437_96.