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Not All Weight Loss Is Equal: Divergent Patterns and Prognostic Roles in Head and Neck Cancer Versus High-Grade
Judith Büntzel1, Gina Westhofen1, Wilken Harms1
1Department of Hematology and Medical Oncology, University Hospital, Robert-Koch-Straße 40, 37075 Göttingen, Germany.
Cancer patients frequently experience malnutrition and weight loss, impacting outcomes. This study found distinct weight change patterns in head and neck cancer versus high-grade B-cell lymphoma patients, highlighting the need for tailored nutritional support.
Area of Science:
- Oncology
- Nutritional Science
- Cancer Survivorship
Background:
- Malnutrition and unintended weight loss are prevalent in cancer patients, correlating with poorer prognoses.
- Limited data exists on long-term weight trajectories across different cancer types.
Purpose of the Study:
- To compare long-term weight trajectories and systemic inflammation markers in head and neck cancer (HNC) and high-grade B-cell lymphoma (HGBCL) patients.
- To identify prognostic indicators for survival in HGBCL patients.
Main Methods:
- Retrospective, multicenter analysis of 145 patients (48 HNC, 97 HGBCL).
- Assessment of body weight, C-reactive protein (CrP), albumin, and modified Glasgow Prognostic Score (mGPS) at baseline and 3, 6, 9, 12 months.
- Definition of clinically relevant weight loss as >5% from baseline; survival analyses for HGBCL.
Main Results:
- Weight loss was common (32.2% at 3 months, 42.3% at 12 months).
- HNC patients experienced sustained weight loss (>5% at 1 year) more frequently than HGBCL patients.
- HGBCL patients showed higher rates of weight gain at 6 and 12 months, with baseline elevated CrP and lower albumin compared to HNC.
- Weight loss at 6 months significantly predicted reduced overall survival in HGBCL (p < 0.01).
Conclusions:
- Distinct patterns of weight change and inflammation exist between HNC and HGBCL patients in the first year post-diagnosis.
- Findings underscore the necessity for cancer-type-specific nutritional monitoring and supportive care.
- Future research should incorporate body composition analysis for improved long-term management strategies.
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