The Kyoto Prognostic Index for patients with diffuse large B-cell lymphoma in the rituximab era

The International Prognostic Index (IPI; age, the disease stage according to the Ann Arbor system, serum lactate dehydrogenase (LDH), Eastern Cooperative Oncology Group (ECOG) performance status (PS) and the presence of extranodal involvement (ENI)) has been the traditionally utilized prognostic tool for diffuse large B-cell lymphoma (DLBCL) treated with cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) or CHOP-like chemotherapy. Although the incorporation of rituximab (Rit) into CHOP has markedly improved the treatment outcome of DLBCL, this resulted in the reduction of the prognostic impact of the IPI. Even with the alternative revised IPI (R-IPI), it also failed to accurately identify the small proportion of patients at risk for a short survival period. Indeed, in the R-IPI-defined poor-risk group, ~ 40% of the patients survived for a relatively short period within 2 years, whereas more than half were cured by R-CHOP, indicating that the sensitivity of R-IPI-defined poor-risk group for identifying the potential short survivors was o50%. More recently, the National Comprehensive Cancer Network (NCCN)-IPI has been proposed for DLBCL that emphasizes the prognostic values of age, high-serum LDH and the specific sites of ENI. However, the NCCN-IPI was again not sufficient for discriminating patients at risk for very short survival, and this was also the case with other indexes, such as the modified Glasgow Prognostic Score (mGPS) consisting of serum C-reactive protein (CRP) and albumin (ALB) levels for DLBCL. In addition, although informative, the prognostic prediction of DLBCL on the basis of biological features using either an immunohistochemical method or gene expression profiling remains difficult to be generally adapted in daily clinical practice. We here tried to generate a new prognostic index that is easy to use in daily clinical practice and more accurately predicts the outcome of DLBCL, especially that of the small proportion of ultrahigh-risk patients in the Rit era. We retrospectively analyzed the clinical records of 465 patients with histologic diagnosis of DLBCL who were treated at three independent institutes from January 2006 to April 2014. In general, patients were treated with three courses of R-CHOP or R-CHOP-like therapy followed by involved-field radiation for localized disease and six to eight courses of R-CHOP or R-CHOP-like therapy for advanced disease. Minute adjustment of a therapeutic regimen was allowed at the doctor’s discretion. Patients were excluded from the analysis if they were HIV positive, were complicated with other hematological diseases, transformed DLBCL, primary central nervous system (CNS) lymphoma or had a major coincident illness that precluded an attempt at curative treatments. This study was conducted in accordance with the ethical principles of the Declaration of Helsinki, and was approved by the institutional review boards. The methods for the statistical analyses were described in Supplementary Information. We randomly selected 323 patients (70% of all patients) as a training cohort to identify prognostic factors for building up a new prognostic model, and selected the remaining 142 patients (30%) as a validation cohort. There were no significant differences in patients’ characteristics between the training and the validation cohorts (Supplementary Table S1). The median overall survival (OS) and progression-free survival (PFS) of all patients were not reached during the median follow-up of 32.2 months, and the estimated 3year OS and PFS were 78.5 and 67.4%, respectively (Figures 1a and b). Among 14 extranodal sites: liver/gastrointestinal tract (n=77), bone marrow (BM; n=37), lung/pleura (n=34), bone (n=25), head and neck (n=17), genitourinary tract (n=16), testis (n=14), breast (n=14), spleen (n=13), CNS not as the primary site (n=10), adrenal gland (n=10), skin (n=9), thyroid (n=7) and peripheral blood (n=4), ENI in the BM (P=0.002), bone (P=0.028), skin (Po0.001) or lung/pleura (P=0.002) at diagnosis was statistically significantly associated with poorer OS by the univariate analysis (Supplementary Figure S1). Accordingly, we evaluated age 60 years and older, serum LDH ratio (41–3 or ⩾3), Ann Arbor stage III–IV, ECOG-PS (⩾2), ENI (BM, bone, skin and/or lung/pleura), elevated serum CRP level (41.0 mg/dl) and hypoalbuminemia (o3.5 mg/dl) as candidates for prognostic variable. Although all factors were significantly related to OS based on the univariate analysis, the prognostic factors that remained significant were LDH, PS, ALB and ENI based on the multivariate analysis in the training sample (Table 1). The weights of the variables were decided based on the estimated regression coefficients, and we derived the final prognostic index consisting of four factors, that is, LDH (41–3, score 1; ⩾ 3, score 2), ECOG-PS (⩾2, score 1), ALB (o3.5 mg/dl, score 1) and ENI (BM, bone, skin and/or lung/pleura; score 1). When classified into four statistically significantly distinct risk groups in our new prognostic index, designated as the Kyoto Prognostic Index (KPI): low-risk group (L: score 0), low-intermediate risk (LI: score 1–2), high-intermediate risk (HI: score 3) and high risk (H: score 4–5), the 3-year OS rates were 96.4% for L, 84.7% for LI, 63.8% for HI and 33.3% for H (Figure 1c). The KPI was also predictive for PFS (3-year PFS: 84.4% in L, 70.2% in LI, 53.4% in HI and 24.1% in H; Figure 1d). Also in the validation cohort, the KPI was highly predictive for OS of DLBCL, demonstrating the statistically significant differences of 3year OS rates among the four risk groups (Figure 1e). In addition, the KPI was also useful for the prediction of PFS in the validation cohort (Figure 1f). Finally, we compared the predictive power of the KPI with that of the R-IPI and the NCCN-IPI in our cohort by examining the c-index and the relative Brier score reduction (RBSR) in the validation cohort. Although the c-indices of OS and PFS as determined by the R-IPI were 0.642 and 0.668, and those as determined by the NCCN-IPI were 0.736 and 0.749, the OS and PFS by the KPI were well correlated with c-indices of 0.740 and 0.703, respectively, indicating the model with the favorable capability for distinguishing the survival periods. The RBSR of OS and PFS by the KPI were 30.5 and 18.3%, compared with that determined by the R-IPI were 13.5 and 12.2%, and those as determined by the NCCN-IPI were 25.1 and 17.2%. These suggest that the KPI has a relatively greater ability for accurate survival prediction compared with the R-IPI and the NCCN-IPI. Indeed, the absolute differences in OS between the lowand high-risk groups were 85.7% by the KPI model compared with 42.2% by the R-IPI model and 62.0% by the NCCN-IPI model in the validation cohort (Figure 1e and Supplementary Figure S2). The greater capability of the KPI to identify the extremely poor prognostic group was also supported by the greater difference in the RBSR between the KPI and the NCCN-IPI rather than the Citation: Blood Cancer Journal (2016) 6, e383; doi:10.1038/bcj.2015.111