Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 29 min ago
Peer-reviewedCC BY-NC-NDJournal of thoracic disease

Neutrophil to lymphocyte ratio (NLR) predicts pathological response to neoadjuvant immunochemotherapy in resectable esophageal cancer: a retrospective study.

  1. 1State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Abstract

Neoadjuvant immunochemotherapy (nICT) has demonstrated promising efficacy in locally advanced esophageal cancer. The pretreatment neutrophil to lymphocyte ratio (NLR) has shown prognostic value across various solid tumors. This study aimed to evaluate the predictive value of pretreatment NLR for pathological response in patients with resectable esophageal cancer receiving nICT. A total of 295 patients with resectable esophageal cancer who underwent nICT followed by surgery were retrospectively analyzed. Pretreatment NLR was calculated from peripheral blood counts. Pathological response was assessed using the Becker tumor regression grading (TRG) system. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive performance of NLR. Multivariable logistic regression and bootstrap internal validation were performed to assess its independent predictive value. Pretreatment NLR was significantly higher in non-pathological complete response (non-pCR) patients than in pathological complete response (pCR) patients (P=0.04). A weak positive correlation was observed between NLR and TRG (r=0.130, P=0.03). The area under the ROC curve (AUROC) of NLR for predicting non-pCR was 0.586 [95% confidence intervals (CI): 0.510-0.663, P=0.04], with an optimal cutoff value of 3.59 (sensitivity 37.6%, specificity 79.3%, positive predictive value 89.0%, negative predictive value 24.1%). The combination of NLR with clinical stage improved the AUROC to 0.633 for predicting non-pCR. In the esophageal squamous cell carcinoma (ESCC) subgroup (n=271), NLR demonstrated improved predictive performance for both non-pCR (AUROC =0.609, 95% CI: 0.530-0.687) and non-major pathological response (non-MPR) (AUROC =0.570, 95% CI: 0.512-0.642). Integration with clinical T and N categories further increased the AUROC to 0.654 for non-pCR and 0.626 for non-MPR. Multivariable logistic regression confirmed that NLR was an independent predictor of non-pCR [odds ratios (OR) =1.325, 95% CI: 1.005-1.747, P=0.046], and bootstrap validation supported its robustness. Elevated pretreatment NLR is associated with poorer pathological response to nICT in patients with resectable esophageal cancer, particularly in ESCC. When combined with clinical staging, NLR may serve as an accessible adjunctive tool to identify patients with a low probability of pCR.

Related

  1. Neutrophil-epithelial niches arrest B-cell maturation in dysfunctional tertiary lymphoid structures of gastric cancer neoadjuvant immunochemotherapy.
    Chen Wei, Qiang Fu, Hejia Wei +9
    Journal for immunotherapy of cancerPeer-reviewedCC BY-NCFull textOncologyEurope PMC
  2. Relative change rate of neutrophil-to-albumin ratio (ΔNAR) during neoadjuvant chemotherapy predicts axillary pathological complete response in locally advanced breast cancer
    Yujie Zhao, Yuxiang Deng, Weicai Chen +4
    Gland SurgeryPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  3. Analysis of the Correlation Between Peripheral Blood Lymphocyte Subsets and Pathological Complete Response Rate in Rectal Cancer Patients Treated With Neoadjuvant Chemoradiotherapy
    Chen Chen, Jinru Lin, Zhiyuan Zheng +2
    Technology in Cancer Research & TreatmentPeer-reviewedCC BYFull textOncologyDOAJ
  4. Admission White Blood Cell Count and Neutrophil‐to‐Lymphocyte Ratio for Early Risk Stratification after Spontaneous Intracerebral Hemorrhage: A Retrospective Cohort Study
    Guangyan Li, Gang Wang, Yuhang Hui +3
    Brain and behaviorPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios in Patients with Pterygium: A Retrospective CaseControl Study
    Ahmet Duhan Özbay, Adem Türk, Gökhan Özgür
    Journal of Clinical MedicinePeer-reviewedCC BY 4.0Full textOncologyCrossrefEurope PMC
BibTeX
@article{zhou2026neutrophil,
  title = {{Neutrophil to lymphocyte ratio (NLR) predicts pathological response to neoadjuvant immunochemotherapy in resectable esophageal cancer: a retrospective study.}},
  author = {Yaning Zhou and Yijun Guo and Xiaoyue Cai and Zhouji Zhang and Ming Zhang},
  journal = {Journal of thoracic disease},
  year = {2026},
  month = oct,
  doi = {10.21037/jtd-2026-2105},
  url = {https://europepmc.org/article/MED/42996918},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Neutrophil to lymphocyte ratio (NLR) predicts pathological response to neoadjuvant immunochemotherapy in resectable esophageal cancer: a retrospective study.
AU  - Yaning Zhou
AU  - Yijun Guo
AU  - Xiaoyue Cai
AU  - Zhouji Zhang
AU  - Ming Zhang
PY  - 2026
DA  - 2026/10/20
JO  - Journal of thoracic disease
DO  - 10.21037/jtd-2026-2105
UR  - https://europepmc.org/article/MED/42996918
AB  - Neoadjuvant immunochemotherapy (nICT) has demonstrated promising efficacy in locally advanced esophageal cancer. The pretreatment neutrophil to lymphocyte ratio (NLR) has shown prognostic value across various solid tumors. This study aimed to evaluate the predictive value of pretreatment NLR for pathological response in patients with resectable esophageal cancer receiving nICT. A total of 295 patients with resectable esophageal cancer who underwent nICT followed by surgery were retrospectively analyzed. Pretreatment NLR was calculated from peripheral blood counts. Pathological response was assessed using the Becker tumor regression grading (TRG) system. Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive performance of NLR. Multivariable logistic regression and bootstrap internal validation were performed to assess its independent predictive value. Pretreatment NLR was significantly higher in non-pathological complete response (non-pCR) patients than in pathological complete response (pCR) patients (P=0.04). A weak positive correlation was observed between NLR and TRG (r=0.130, P=0.03). The area under the ROC curve (AUROC) of NLR for predicting non-pCR was 0.586 [95% confidence intervals (CI): 0.510-0.663, P=0.04], with an optimal cutoff value of 3.59 (sensitivity 37.6%, specificity 79.3%, positive predictive value 89.0%, negative predictive value 24.1%). The combination of NLR with clinical stage improved the AUROC to 0.633 for predicting non-pCR. In the esophageal squamous cell carcinoma (ESCC) subgroup (n=271), NLR demonstrated improved predictive performance for both non-pCR (AUROC =0.609, 95% CI: 0.530-0.687) and non-major pathological response (non-MPR) (AUROC =0.570, 95% CI: 0.512-0.642). Integration with clinical T and N categories further increased the AUROC to 0.654 for non-pCR and 0.626 for non-MPR. Multivariable logistic regression confirmed that NLR was an independent predictor of non-pCR [odds ratios (OR) =1.325, 95% CI: 1.005-1.747, P=0.046], and bootstrap validation supported its robustness. Elevated pretreatment NLR is associated with poorer pathological response to nICT in patients with resectable esophageal cancer, particularly in ESCC. When combined with clinical staging, NLR may serve as an accessible adjunctive tool to identify patients with a low probability of pCR.
SN  - 2072-1439
SN  - 2077-6624
ER  -