Predictive Nomogram for Elderly Unresectable Esophageal Cancer Undergoing IMRT

Overview

This study developed the first predictive nomogram specifically for elderly patients with unresectable esophageal squamous cell carcinoma (ESCC) receiving intensity-modulated radiotherapy (IMRT). The model integrates clinical, nutritional, and inflammatory biomarkers to aid personalized treatment decisions and improve prognosis prediction.

Background

Esophageal cancer is a leading cause of cancer mortality in China, with many patients presenting at advanced stages unsuitable for surgery. Elderly patients often have multiple comorbidities and poor nutritional status, complicating treatment tolerance and outcomes. IMRT has become the preferred radiotherapy technique due to its efficacy and reduced toxicity. However, existing staging systems do not account for patient frailty or treatment intensity, highlighting the need for tailored prognostic tools in this population.

Data Highlights

A total of 300 elderly patients (≥65 years) with pathologically confirmed ESCC treated with IMRT without surgery were retrospectively analyzed. Patients were randomly divided into a training set (211 patients) and an internal validation set (89 patients). Nutritional and inflammatory biomarkers such as PNI, NLR, PLR, MLR, SIRI, SII, HALP, BMI, PAR, ANRI, and GNRI were collected before IMRT. Concurrent chemotherapy regimens included PF (cisplatin and fluorouracil) or single-agent S-1. Nutritional support methods included nasal feeding and gastrostomy.

Key Findings

• The nomogram incorporates multiple prognostic factors including clinical stage, tumor length, Karnofsky performance status, and nutritional-inflammatory indices.
• IMRT combined with chemotherapy is safe and effective in elderly unresectable ESCC patients when carefully selected.
• Malnutrition is highly prevalent (62.8%) in this population and significantly impacts treatment tolerance and outcomes.
• Personalized nutritional support during treatment is critical to improve patient prognosis.
• The nomogram provides a quantitative tool to guide individualized dose adjustment and nutritional interventions.

Clinical Implications

Clinicians should assess nutritional and inflammatory status alongside traditional staging to optimize treatment planning for elderly unresectable ESCC patients. The nomogram can facilitate personalized radiotherapy dosing and timely nutritional support, potentially reducing complications and improving survival. This approach aligns with WHO recommendations for personalized cancer care in older adults.

Conclusion

This study presents a novel, evidence-based nomogram that integrates clinical and nutritional-inflammatory factors to predict prognosis in elderly unresectable ESCC patients undergoing IMRT. It offers a valuable tool for personalized treatment strategies to enhance outcomes in this vulnerable population.

References

1. Hua et al. 2020 -- Nomogram based on inflammatory and nutritional biomarkers in breast cancer
2. AJCC/UICC 8th Edition 2017 -- Esophageal Cancer Staging