BAG3+ CAF-T cell neighborhood predicts resistance to neoadjuvant chemoimmunotherapy in NSCLC - Scorecard - MDSpire

BAG3+ CAF-T cell neighborhood predicts resistance to neoadjuvant chemoimmunotherapy in NSCLC

  • By

  • Jing Sun

  • Zhengqi Cao

  • Yueping Jin

  • Anni Wang

  • Li Lu

  • Lixuan Chen

  • Wenhui Shi

  • Peiyi Xu

  • Yuxin Ouyang

  • Junjie Tang

  • Zhouwenli Meng

  • Ziming Li

  • July 7, 2026

  • 0 min

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Clinical Scorecard: BAG3+ CAF-T Cell Microenvironment as a Predictor of Neoadjuvant Chemoimmunotherapy Resistance in Non-Small Cell Lung Cancer

At a Glance

CategoryDetail
ConditionNon-Small Cell Lung Cancer (NSCLC)
Key MechanismsBAG3+ CAF-T Cell Neighborhood associated with treatment resistance
Target PopulationPatients undergoing neoadjuvant chemoimmunotherapy (NCIT)
Care SettingOncology clinical practice

Key Highlights

  • Over 40% of NSCLC patients fail to achieve major pathological response (MPR) after NCIT.
  • BAG3+ CAF-T Cell Neighborhood is significantly more abundant in non-responders (nMPR) compared to responders (MPR).
  • The predictive value of BAG3+ CAF-T Cell Neighborhood outperformed other indicators in identifying non-response to NCIT.
  • AUC values for BAG3+IFITM2+ CAFs and BAG3+CD8+ T cells indicate strong predictive potential.
  • OS and DFS are significantly decreased in patients with high BAG3+ CAF-T Cell Neighborhood.

Guideline-Based Recommendations

Diagnosis

  • Utilize single-cell RNA sequencing to identify biomarkers associated with treatment response.

Management

  • Consider BAG3+ CAF-T Cell Neighborhood as a potential biomarker for predicting non-response to NCIT.

Monitoring & Follow-up

  • Assess the abundance of BAG3+ CAF-T Cell Neighborhood in pre-treatment tissue samples.

Risks

  • Patients with high levels of BAG3+ CAF-T Cell Neighborhood may have poorer survival outcomes.

Patient & Prescribing Data

Patients with resectable NSCLC undergoing NCIT.

Current biomarkers like PD-L1 and TMB have limited sensitivity and specificity in predicting NCIT response.

Clinical Best Practices

  • Integrate BAG3+ CAF-T Cell Neighborhood assessment in pre-treatment evaluations.
  • Utilize multiplex immunofluorescence for validation of predictive biomarkers.

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