Pharmacogenomics and Personalized Medicine (Apr 2023)

Construction and Validation of a Novel Nomogram for Predicting the Recurrence of Diffuse Large B Cell Lymphoma Treated with R-CHOP

  • Gong Y,
  • Yan H,
  • Yang Y,
  • Zhai B,
  • Huang Z,
  • Zhang Z

Journal volume & issue
Vol. Volume 16
pp. 291 – 301

Abstract

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Yuxi Gong,1 Haitao Yan,2 Yefan Yang,1 Boya Zhai,1 Zhendong Huang,1 Zhihong Zhang1 1Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 2Department of Interventional Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of ChinaCorrespondence: Zhihong Zhang, Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, People’s Republic of China, Tel/Fax +86-25-68303709, Email [email protected]: To explore recurrence-risk factors of diffuse large B cell lymphoma (DLBCL) and construct a risk nomogram for predicting recurrence.Patients and Methods: A retrospective analysis was performed on 228 DLBCL patients who achieved complete remission after R-CHOP treatment between January 2015 and December 2019. Univariate and multivariate analyses were applied to identify recurrence-related risk factors from the pretreatment evaluation factors covering patients’ demographic characteristics, clinical manifestations, serological indicators, pathological and immunohistochemical results. A nomogram was developed based on the above results and validated by the concordance index (C-index), the receiver operating characteristic (ROC) curve, and the calibration curve.Results: The training and validation cohorts consisted of 160 and 68 patients (randomized by 7:3). Of the whole cohort, 50 of 228 (21.9%) cases recurred during follow-up. Three recurrence-risk factors including BCL2 expression (P = 0.027), CD10 expression (P = 0.021), LDH level (P = 0.004) were identified from multivariate analysis and entered the final nomogram. The C-index of the nomogram was 0.815 in training cohort and 0.797 in the validation cohort, higher than that of IPI system (0.699) and NCCN-IPI system (0.709). And the 1-year, 2-year, 3-year, and 4-year areas under ROC (AUC) were 0.812, 0.850, 0.837, and 0.801, respectively. The calibration curves also showed a good discrimination capability and accuracy.Conclusion: The novel nomogram incorporating the three independent risk factors (BCL2 expression, CD10 expression and LDH level) provided a valuable tool for predicting DLBCL recurrence.Keywords: diffuse large B cell lymphoma, DLBCL, recurrence, nomogram, risk factors

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