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

被引:13
|
作者
Ding, Hong-Fan [1 ,2 ]
Yang, Tian [3 ]
Lv, Yi [1 ,2 ]
Zhang, Xu-Feng [1 ,2 ,4 ,5 ]
Pawlik, Timothy M. [4 ,5 ,6 ,7 ]
机构
[1] Xi An Jiao Tong Univ, Affiliated Hosp 1, Dept Hepatobiliary Surg, Xian, Peoples R China
[2] Xi An Jiao Tong Univ, Affiliated Hosp 1, Inst Adv Surg Technol & Engn, Xian, Peoples R China
[3] Navy Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Hepatobiliary Surg, Shanghai, Peoples R China
[4] Ohio State Univ, Wexner Med Ctr, Dept Surg, Columbus, OH USA
[5] Ohio State Univ, James Comprehens Canc Ctr, Columbus, OH USA
[6] Ohio State Univ, Wexner Med Ctr, Dept Surg, Hlth Serv Management & Policy, 395 W 12th Ave,Suite 670, Columbus, OH 43210 USA
[7] Ohio State Univ, Wexner Med Ctr, Dept Oncol, Hlth Serv Management & Policy, 395 W 12th Ave,Suite 670, Columbus, OH 43210 USA
关键词
TRANSARTERIAL CHEMOEMBOLIZATION; LIVER-TRANSPLANTATION; CURATIVE RESECTION; RECURRENCE; CANCER; HEPATECTOMY; MANAGEMENT; PATTERNS; NOMOGRAM; IMPROVES;
D O I
10.1097/XCS.0000000000000638
中图分类号
R61 [外科手术学];
学科分类号
摘要
BACKGROUND: The purpose of this study is to establish a prognostic model to predict post-recurrence 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 alpha-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: ATS(2) = (largest tumor diameter)(2) + (number of tumors)(2) + (ln AFP)(2), where ATS(d) and ATS(r) represent ATS at the time of initial diagnosis and at the time of recurrence, respectively. The final model was ATS(m) = ATS(d) + 4 x ATS(r). 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: ATS(m) <= 27, 74.9 months vs. ATS(m) >= 28, 23.3 months; VC: ATS(m) <= 27, 59.4 months vs. ATS(m) >= 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. ((c) 2023 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.)
引用
收藏
页码:982 / 992
页数:11
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