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Erschienen in:
19.07.2017 | Original Article
Psoas muscle volume as a predictor of peripheral neurotoxicity induced by primary chemotherapy in ovarian cancers
Erschienen in: Cancer Chemotherapy and Pharmacology | Ausgabe 3/2017
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Purpose
Low skeletal muscle mass (sarcopenia) has been reported to have an influence on survival and toxicities of chemotherapy in several solid tumors. The impact of sarcopenia on the treatment of ovarian cancers has not been determined. The present study aimed to evaluate correlation between sarcopenia and toxicities of chemotherapy in ovarian cancers.
Methods
Medical charts of the ovarian cancer patients that received chemotherapy with paclitaxel and carboplatin at our hospital between 2010 and 2015 were retrospectively reviewed. Muscle areas of bilateral psoas major muscles at the fifth lumbar vertebra were measured using images obtained by computed tomography. The volume of muscle and clinicopathological factors were evaluated for toxicities of chemotherapy. The protocol of the present study was approved by the institutional review board of our institution.
Results
A total of 76 patients with ovarian cancers were identified, and enrolled in the present study. Median psoas index (PI, the psoas muscle major cross-sectional area divided by the height squared) was 583 mm2/m2 (range 326–999). The patients with low PI developed peripheral neuropathy more frequently compared with those with high PI (32 vs. 11%; P = 0.047). PI value was not associated with other toxicities such as neutropenia and thrombocytopenia. PI value was associated with grade 2 or higher peripheral neuropathy in univariate analysis (OR = 3.92; 95% CI 1.21–15.32; P = 0.02) and multivariate analysis (OR = 3.93; 95% CI 1.17–15.87; P = 0.03).
Conclusions
PI value was significantly associated with peripheral neuropathy induced by combination therapy with paclitaxel and carboplatin in ovarian cancer patients. Although further studies are needed to confirm the results, the volume of skeletal muscle mass could be a potential biomarker to predict toxicities in ovarian cancer patients.