Predictive value of prognostic nutritional index in patients with oral squamous cell carcinoma. (19th March 2020)

• Record Type: Journal Article
• Authors: Wu, Xiang; Jiang, Yue; Ge, Han; Diao, Pengfei; Wang, Dongmiao; Wang, Yanling; Cheng, Jie
• Is Part Of: Oral diseases. Volume 26:Number 5(2020)
• Page Start: 903
• Page End: 911
• Publication Date: 2020-03-19
• Subjects: cancer biomarker -- oral squamous cell carcinoma -- prognostic nutritional index; Mouth -- Diseases -- Research -- Periodicals; 617.522
• DOI: 10.1111/odi.13318
• Languages: English
• ISSNs: 1354-523X

Abstract

Abstract: Objectives: To determine the prognostic significance of preoperative prognostic nutritional index (PNI) in patients with primary oral squamous cell carcinoma (OSCC) after ablative surgery. Materials and Methods: A total of 333 patients from two tertiary referral centers were enrolled as training and validation cohorts. The PNI was calculated as 10× serum albumin (g/dL) + 0.005 × total lymphocyte number (per mm 3 ), and its optimal cutoff value for patient stratification was identified by X‐tile software. Cox's proportional regression analyses and receiver operating characteristic (ROC) curves were employed to identify prognostic factors and their predictive performance. Results: The optimal cutoff value of PNI was 47.4. Patients with low PNI had significantly shorter overall (OS) and disease‐free survival than those with high PNI. Moreover, multivariate regression analyses indicated that PNI was an independent prognostic factor for OS in the training (hazard ratio [HR], 2.267; 95% confidence interval [CI]:1.335–3.849; p = .002) and validation (HR, 2.247; 95% CI: 1.352–3.735; p = .002) cohorts. ROC analyses revealed similar or superior predictive performance of PNI as compared to other prognostic parameters. Conclusions: Our findings reveal that decreased preoperative PNI significantly associates with worse prognosis for patients with OSCC, which serves as a novel prognostic biomarker for OSCC.