Development and Validation of an α-Fetoprotein Tumor Burden Score Model to Predict Postrecurrence Survival among Patients with Hepatocellular Carcinoma

Author:

Ding Hong-Fan1,Yang Tian2,Lv Yi1,Zhang Xu-Feng13,Pawlik Timothy M3,

Affiliation:

1. From the Department of Hepatobiliary Surgery and Institute of Advanced Surgical Technology and Engineering, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China (Ding, Lv, Zhang)

2. the Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai, China (Yang)

3. the Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH (Zhang, Pawlik).

Abstract

BACKGROUND: The purpose of this study is to establish a prognostic model to predict postrecurrence survival (PRS) probability after initial resection of hepatocellular carcinoma (HCC). STUDY DESIGN: Patients with recurrent HCC after curative resection were identified through a multicenter consortium (training cohort, TC); data were from a separate institution were used as validation cohort (VC). The α-fetoprotein (AFP) tumor burden score (ATS) was defined as the distance from the origin on a 3-dimensional Cartesian coordinate system that incorporated 3 variables: largest tumor diameter (x axis), number of tumors (y axis), and ln AFP (z axis). ATS was calculated using the Pythagorean theorem: ATS2 = (largest tumor diameter)2 + (number of tumors)2 + (ln AFP)2, where ATSd and ATSr represent ATS at the time of initial diagnosis and at the time of recurrence, respectively. The final model was ATSm = ATSd + 4 × ATSr. Predictive performance and discrimination of the ATS model were evaluated and compared with traditional staging systems. RESULTS: The ATS model demonstrated strong predictive performance of PRS in both the TC (area under the curve [AUC] 0.70) and VC (AUC 0.71). An ATS-based nomogram was able to stratify patients accurately into low- and high-risk categories relative to PRS (TC: ATSm ≤ 27, 74.9 months vs. ATSm ≥ 28, 23.3 months; VC: ATSm ≤ 27, 59.4 months vs. ATSm ≥ 28, 15.1 months; both p < 0.001). The ATS model predicted PRS among patients undergoing curative or noncurative treatment of HCC recurrence (both p < 0.05). Of note, the ATS model outperformed the Barcelona Clinic Liver Cancer (BCLC), China Liver Cancer (CNLC), and American Joint Committee on Cancer (AJCC) staging systems relative to 1-, 2-, 3-, 4- and 5-year PRS (AUC 0.70, vs. BCLC, AUC 0.50, vs. CNLC, AUC 0.54, vs. AJCC, AUC 0.51). CONCLUSIONS: The ATS model had excellent prognostic discriminatory power to stratify patients relative to PRS.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

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