Pretreatment bioelectrical impedance analysis predicts chemotherapy efficacy and toxicity in metastatic colorectal cancer patients

  • 0Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan.

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Summary

This summary is machine-generated.

Higher extracellular water/total body water ratios in metastatic colorectal cancer patients predict poorer survival and increased toxicity. Body composition analysis using bioelectrical impedance analysis (BIA) is valuable for patient care.

Area Of Science

  • Oncology
  • Clinical Nutrition
  • Medical Imaging

Background

  • Body composition is increasingly recognized for its prognostic value in metastatic colorectal cancer (mCRC) patients undergoing chemotherapy.
  • Bioelectrical impedance analysis (BIA) offers a method to assess body composition metrics.

Purpose Of The Study

  • To investigate the association between BIA-measured body composition metrics and survival outcomes in mCRC patients.
  • To explore the impact of body composition on chemotherapy-induced toxicity and relative dose intensity.

Main Methods

  • Retrospective analysis of 164 mCRC patients undergoing first-line chemotherapy.
  • Assessment of body composition using BIA, including extracellular water/total body water ratio (ECW/TBW), skeletal muscle mass, body fat mass, protein, and mineral levels.
  • Evaluation of relationships between body composition parameters and survival, toxicity, and chemotherapy dose intensity.

Main Results

  • A higher ECW/TBW ratio was significantly associated with lower overall survival (OS) and progression-free survival (PFS).
  • ECW/TBW was identified as an independent predictor of OS (HR: 2.12; 95% CI: 1.36-3.23).
  • Significant interactions were observed between ECW/TBW quartiles and anti-VEGF/EGFR therapies' effectiveness on OS. Body composition correlated with chemotherapy dose intensity and hematologic toxicities, notably thrombocytopenia.

Conclusions

  • Comprehensive body composition assessment via BIA is valuable for predicting outcomes in mCRC patients.
  • Incorporating BIA into clinical practice can enhance patient care and treatment strategies for mCRC.