| Summary: | Kittinun Leetanaporn,1 Jitti Hanprasertpong2 1Department of Biomedical Science and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand; 2Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, ThailandCorrespondence: Jitti Hanprasertpong, Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand, Tel +66 74 45 1201, Fax +66 74 429 617, Email hjitti@yahoo.com; hjitti@gmail.comPurpose: The oncological outcomes of locally advanced cervical cancer (LACC) patients after treatment are poor and heterogeneous. This study aimed to determine the role of the hemoglobin-albumin-lymphocyte-platelet (HALP) inflammatory index in predicting oncological outcomes in LACC patients.Patients and Methods: A total of 1588 LACC patients who received radiation therapy or concurrent chemoradiation were divided into training and test sets. Characteristics, survival, and a HALP cutoff determined by X-tile software were used to build predictive survival models on the training data. Validation of the model was performed on both sets.Results: Patients with a HALP score ≤ 22.2 tended to have lower age (p < 0.001), lower comorbidity rate (p = 0.016), lower body mass index (p < 0.001), higher stage (p < 0.001), larger tumor size (p < 0.001), and higher likelihood to receive radiation alone than concurrent chemoradiation (p < 0.001). Survival analysis demonstrated that HALP > 22.2 was independently associated with better progression-free survival (PFS; hazard ratio; HR 0.55) and overall survival (OS; HR 0.43). Validation of survival prediction by receiver-operating characteristics demonstrated a significantly improved area under the curve of survival prediction in both sets (p < 0.001) after the addition of the HALP index to the model.Conclusion: A lower HALP score was an independent predictive factor for poorer oncological outcomes. The addition of the HALP index can improve the accuracy of predicting the oncological outcomes of LACC patients.Keywords: cervical cancer, hemoglobin-albumin-lymphocyte-platelet index, survival, radiotherapy, predictive model
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