Body Weight Is a Valid Predictor of the Long-Term Prognosis of Cervical Cancer

Abstract

Objective. To identify and validate effective clinical predictors for the long-term prognosis of patients with cervical cancer. Methods. Cervical cancer patients were retrieved from the TCGA database, and patients’ clinical data were collected and analyzed for the predictive value of long-term prognosis. In the other branch of the study, patients with cervical cancer and admitted to our hospital between January 1, 2016, and December 31, 2016, were retrieved and followed up for prognosis analysis. Results. In the database patient cohort of our study, 607 cases with cervical cancer were analyzed. Aneuploidy score ( p = 0.012 ), Buffa hypoxia score ( p = 0.013 ), histologic grade ( p = 0.01 ), fraction genome altered >0.4 ( p < 0.001 ), weight > 60 kg ( p < 0.001 ), height > 160 cm ( p = 0.047 ), BMI <18.5 ( p = 0.023 ), Winter hypoxia score ( p = 0.002 ), and adjuvant postoperative radiotherapy were good predictors for disease-free survival (DFS), while aneuploidy score ( p = 0.001 ), MSI sensor score > 0.5 ( p = 0.035 ), person neoplasm status ( p < 0.001 ), race ( p = 0.006 ), Ragnum hypoxia score ( p = 0.012 ), weight ( p < 0.001 ), height ( p < 0.001 ), and BMI < 18.5 ( p = 0.04 ) were good predictors for overall survival (OS). In the admitted patient cohort, age over 60 years old at the time of diagnosis was the only clinical factor influencing the long-term DFS ( p = 0.004 ). TNM stage above III ( p = 0.004 ), body weight > 70 kg ( p < 0.001 ), and complicated with other cancer ( p < 0.001 ) were clinical factor influencing the long-term OS. Conclusions. Clinical factors, especially common to both cohorts, could be used to show the long-term prognosis of cervical cancer.

Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor-, Patient-, and Treatment-Related Data (ESTHER Study)

“…However, similarly to the correlation with age, the complex relationship between BMI and prognosis should be highlighted. In fact, not only high values but also lower than normal values (BMI < 18.5) seem to be associated with a worse prognosis [ 31 , 32 ]. Furthermore, also studies based on the analysis of sarcopenia gave conflicting results in this setting, with analyses showing a significantly unfavorable impact of this parameter on OS [ 33 ], and studies failing to demonstrate this effect [ 34 , 35 ].…”