Significance of the neutrophil-to-lymphocyte ratio in predicting the response to neoadjuvant chemotherapy in extremity osteosarcoma: a multicentre retrospective study

BMC Cancer. 2022 Jan 4;22(1):33. doi: 10.1186/s12885-021-09130-7.

Abstract

Background: At present, no predictive factor has been validated for the early efficacy of neoadjuvant chemotherapy (NACT) in osteosarcoma. The purpose of this study was to investigate the significance of the neutrophil-to-lymphocyte ratio (NLR) in predicting the response to NACT in extremity osteosarcoma.

Methods: Pathological complete response (pCR) was used to assess the efficacy of NACT. Receiver operating characteristic (ROC) curves and the Youden index (sensitivity + specificity-1) were used to determine the optimal cut-off values of the NLR. Univariate and multivariate analyses using logistic regression models were conducted to confirm the independent factors affecting the efficacy of NACT.

Results: The optimal NLR cut-off value was 2.36 (sensitivity, 80.0%; specificity, 71.3%). Univariate analysis revealed that patients with a smaller tumour volume, lower stage, lower NLR and lower PLR were more likely to achieve pCR. Multivariate analyses confirmed that the NLR before treatment was an independent risk factor for pCR. Compared to patients with a high NLR, those with a low NLR showed a more than 2-fold higher likelihood of achieving pCR (OR 2.82, 95% CI 1.36-5.17, p = 0.02).

Conclusion: The NLR is a novel and effective predictive factor for the response to NACT in extremity osteosarcoma patients. Patients with a higher NLR showed a lower percentage of pCR after NACT.

Keywords: Neoadjuvant chemotherapy; Neutrophil-to-lymphocyte; Osteosarcoma.

Publication types

  • Multicenter Study

MeSH terms

  • Adolescent
  • Biomarkers, Tumor / blood
  • Bone Neoplasms / blood*
  • Bone Neoplasms / drug therapy
  • Bone Neoplasms / mortality
  • Chemotherapy, Adjuvant / mortality*
  • Extremities
  • Female
  • Humans
  • Leukocyte Count / statistics & numerical data*
  • Logistic Models
  • Lymphocytes
  • Male
  • Neoadjuvant Therapy / mortality*
  • Neutrophils
  • Osteosarcoma / blood*
  • Osteosarcoma / drug therapy
  • Osteosarcoma / mortality
  • Predictive Value of Tests
  • ROC Curve
  • Retrospective Studies
  • Treatment Outcome

Substances

  • Biomarkers, Tumor