Predictive value of Ki-67 expression in predicting pathological response to neoadjuvant chemotherapy combined with immunotherapy in lung squamous cell carcinoma - Scorecard - MDSpire

Predictive value of Ki-67 expression in predicting pathological response to neoadjuvant chemotherapy combined with immunotherapy in lung squamous cell carcinoma

  • By

  • Yongliang Niu

  • Junguo Li

  • Bowen Ding

  • Haitang Yang

  • Hui Zhao

  • Diming Wang

  • July 7, 2026

  • 0 min

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Clinical Scorecard: Evaluating the Role of Ki-67 Expression as a Predictor of Pathological Response to Neoadjuvant Chemoimmunotherapy in Lung Squamous Cell Carcinoma

At a Glance

CategoryDetail
ConditionLung Squamous Cell Carcinoma
Key MechanismsKi-67 expression as a biomarker for predicting pathological response
Target PopulationPatients with stage IIIA–IIIB lung squamous cell carcinoma
Care SettingNeoadjuvant therapy followed by surgical resection

Key Highlights

  • MPR/pCR achieved in 56.2% of patients (77/137)
  • Optimal Ki-67 cutoff identified at 55% with AUC = 0.785
  • High Ki-67 (≥55%) linked to significantly higher MPR/pCR rates (69.6% vs. 27.9%)
  • Ki-67 and smoking status are independent predictors of MPR/pCR
  • PD-L1 expression showed no significant association with MPR/pCR

Guideline-Based Recommendations

Diagnosis

  • Assess Ki-67 expression via immunohistochemistry in patients undergoing neoadjuvant therapy

Management

  • Consider Ki-67 levels when evaluating potential response to neoadjuvant chemoimmunotherapy

Monitoring & Follow-up

  • Monitor Ki-67 expression as part of treatment response evaluation

Risks

  • Potential for misclassification of patients based on Ki-67 levels alone

Patient & Prescribing Data

Patients with histologically confirmed stage IIIA–IIIB lung SCC

Neoadjuvant PD-1 inhibitors plus platinum-based chemotherapy followed by surgery

Clinical Best Practices

  • Utilize Ki-67 as a predictive biomarker in clinical decision-making for neoadjuvant therapy
  • Ensure comprehensive assessment of patient history, including smoking status

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