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Comprehensive Analysis of Blood Test Results Predicting Prognosis in Patients Undergoing Whole-brain Radiotherapy for Brain Metastases

Permanent link
https://hdl.handle.net/10037/36523
DOI
https://doi.org/10.21873/anticanres.17070
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Date
2024-05-31
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Nieder, Carsten; Stanisavljevic, Luka; Mannsåker, Bård
Abstract
Background/Aim: Blood tests, such as those included in the validated LabBM score (laboratory parameters in patients with brain metastases) predict survival after treatment of brain metastases. The model incorporates five test results [serum lactate dehydrogenase (LDH), C-reactive protein (CRP), albumin, platelets and hemoglobin]. However, many other abnormalities, albeit less well-studied, may be present in patients with metastatic cancer. Therefore, this study aimed to examine a broader range of blood tests.

Patients and Methods: This retrospective analysis included 132 patients managed with primary whole-brain radiotherapy. Additional tests, such as liver enzymes, lymphopenia, hyponatremia, and others, were also conducted. Extracranial disease extent was also analyzed.

Results: According to forward conditional Cox regression analyses, blood tests (albumin, hemoglobin, lymphopenia, hyponatremia) in conjunction with the number of organs affected by extracranial metastases (at least two, such as liver and bones) provided the best prognostic model. Based on these parameters, at least four prognostic strata can be assigned (median survival between 4.6 and <1 months, p=0.0001).

Conclusion: This initial pilot study in a limited number of patients suggests that numerous blood test results may contribute to further refinement of existing prognostic models, and provides justification for additional large-scale studies.

Publisher
International Institute of Anticancer Research
Citation
Nieder, Stanisavljevic, Mannsåker. Comprehensive Analysis of Blood Test Results Predicting Prognosis in Patients Undergoing Whole-brain Radiotherapy for Brain Metastases. Anticancer Research. 2024;44(6):2637-2643
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