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Quality of Life Identifies High-Risk Groups in Advanced Rectal Cancer Patients
Anna-Lena Zollner1, Daniel Blasko1, Tim Fitz1
1Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Quality of life (QoL) assessments in advanced rectal cancer patients predict survival. Early identification of poor QoL scores can guide timely interventions and improve patient outcomes.
Area of Science:
- Oncology
- Clinical Research
- Quality of Life Studies
Background:
- Quality of life (QoL) is crucial for assessing treatment efficacy and identifying patients needing supportive care.
- Advanced rectal cancer poses challenges in evaluating long-term prognosis and treatment response.
Purpose of the Study:
- To determine if specific QoL scores in advanced rectal cancer patients can identify those with an unfavorable long-term prognosis.
- To explore the prognostic value of QoL assessments during and after neoadjuvant radiochemotherapy.
Main Methods:
- Prospective assessment of 570 advanced rectal cancer patients using QLQ-C30 and QLQ-CR38 questionnaires.
- Analysis of 27 functional and symptom-related QoL scores during and up to five years post-neoadjuvant radiochemotherapy.
- Correlation of QoL scores with overall survival at multiple time points.
Main Results:
- Consistently poor QoL scores were associated with shorter overall survival.
- Physical functioning, role functioning, global health, fatigue, dyspnoea, and chemotherapy side effects significantly impacted survival.
- Older patients (>64) and those with poor QoL in early treatment phases had reduced survival probabilities.
Conclusions:
- Early and repeated QoL assessments, especially in the initial treatment weeks, provide critical prognostic information in advanced rectal cancer.
- Identifying patients with poor prognosis via QoL monitoring enables timely interventions to potentially improve survival.
- Integrating QoL monitoring into routine care can enhance personalized treatment and risk stratification.
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