ObjectiveWe investigated whether the pretreatment albumin to globulin ratio, serum albumin level, and serum globulin level can be used to predict survival among cervical cancer patients treated with radiation based therapy and assessed globulin fractions.MethodsWe retrospectively enrolled 128 patients with cervical cancer treated with radiation based therapy at our institution between 2010 and 2015. The associations of the pretreatment albumin to globulin ratio, and serum albumin and globulin levels with overall survival were assessed. Additionally, the associations of the globulin fractions with the serum globulin levels and overall survival were evaluated.ResultsMedian follow-up duration was 30 months (IQR 16–44 months). A low albumin to globulin ratio (< 1.53) was found to be an independent prognostic factor for overall survival (HR= 3.07; 95% CI, 1.03 to 13.3; P=0.044). On evaluating serum globulin and albumin separately, a high serum globulin level was significantly associated with overall survival (cut-off value 2.9 g/dL; HR=3.74; 95% CI 1.08 to 23.6; P=0.036) whereas a low serum albumin level was not associated with overall survival (cut-off value 3.6 g/dL; HR=1.77; 95% CI 0.57 to 4.54; P=0.29). Electrophoresis data of the serum proteins revealed that the γ-globulin fraction was most strongly correlated with the globulin levels (P<0.001). Furthermore, a high γ-globulin level (≥1.28 g/dL) was significantly associated with poor overall survival (log rank test, P=0.034).ConclusionsA pretreatment low albumin to globulin ratio, which might be attributable to a high serum globulin level, can be used to predict poor prognosis in cervical cancer patients treated with radiation based therapy.

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Aim Patients with recurrent cervical cancer after radiotherapy have poor prognoses because of the lack of effective treatment options. Biomarkers to predict survival outcomes for recurrent cervical cancer are warranted because patients with limited life expectancy sometimes benefit from less aggressive treatment in combination with early palliative care. Therefore, we aimed to explore a predictive biomarker for the outcomes of patients with recurrent cervical cancer. Methods We retrospectively investigated 231 patients initially treated with radiation‐based therapy between January 2004 and December 2015. The associations between clinicopathological features at the time of relapse and overall survival after relapse were assessed. As factors which reflect patients' conditions, we particularly focused on C‐reactive protein‐to‐albumin ratio (CAR) and neutrophil‐to‐lymphocyte ratio (NLR) at the time of relapse. Additionally, we investigated biomarkers predictive of short‐term survival. Results Among 231 patients, 91 patients experienced relapse and 74 patients died during the follow‐up period. Multivariate analysis revealed that treatment after relapse, CAR, and NLR was significantly associated with overall survival. Among them, treatment after relapse significantly affected survival outcomes, and patients who received definitive local treatment had a better 3‐year survival rate than those who received other treatments. Conversely, NLR was the most influential biomarker for short‐term survival, and the prognosis of patients with high NLRs was much worse than those with low NLRs. Conclusions This study thus demonstrated that, for the patients with recurrent cervical cancer who received radiation‐based therapy, definitive local treatment can provide long‐term survival and extremely high NLRs are predictive of short‐term survival.

Aim: Skeletal muscle loss is often observed in advanced cancer patients. This study investigates whether skeletal muscle loss is associated with survival outcomes of advanced epithelial ovarian cancer (EOC) patients after induction chemotherapy (IC) in a Japanese cohort. Whether serum inflammatory markers are associated with skeletal muscle changes is also addressed. Methods: We retrospectively reviewed 60 patients with stage III/IV EOC who underwent IC between 2010 and 2017. Skeletal muscle area (SMA) was measured at the third lumbar vertebrae level on a single axial computed tomography-scan image. Receiver operating curve analysis was used to determine cutoff values of pre-and post-IC SMA and SMA ratio (SMAR). Univariate and multivariate analyses of overall survival (OS) were conducted using the log-rank test and Cox proportional hazards regression model, respectively. Results: The SMA decreased significantly after IC (P = 0.019). The cutoff value between low and high SMAR was 0.96. High or low SMAR was observed in 34 (57%) and 26 (43%) patients, respectively. Univariate analysis revealed that low SMAR was associated with poor OS (P = 0.025). Multivariate analysis showed that incomplete resection during interval debulking surgery (hazard ratio, 0.30; 95% CI, 0.11-0.80; P = 0.016) and a low SMAR (hazard ratio, 3.17; 95% CI, 1.18-9.06; P = 0.022) were independent predictors of poor OS. Of the serum inflammatory markers investigated, only post-IC absolute neutrophil count correlated significantly with SMAR (P = 0.012). Conclusion: Low SMAR can be used to predict poor prognosis in advanced EOC patients who have undergone IC.