Genetic Determinants of Outcome in Intrahepatic Cholangiocarcinoma

被引:119
作者
Boerner, Thomas [1 ]
Drill, Esther [2 ]
Pak, Linda M. [1 ]
Nguyen, Bastien [2 ,3 ]
Sigel, Carlie S. [4 ]
Doussot, Alexandre [1 ]
Shin, Paul [1 ]
Goldman, Debra A. [2 ]
Gonen, Mithat [2 ]
Allen, Peter J. [5 ]
Balachandran, Vinod P. [1 ]
Cercek, Andrea [6 ]
Harding, James [6 ]
Solit, David B. [3 ,6 ]
Schultz, Nikolaus [2 ,3 ]
Kundra, Ritika [2 ,3 ]
Walch, Henry [2 ,3 ]
D'Angelica, Michael, I [1 ]
DeMatteo, Ronald P. [7 ]
Drebin, Jeffrey [1 ]
Kemeny, Nancy E. [6 ]
Kingham, T. Peter [1 ]
Simpson, Amber L. [8 ]
Hechtman, Jaclyn F. [4 ]
Vakiani, Efsevia [4 ]
Lowery, Maeve A. [9 ]
Ijzermans, J. N. M. [10 ]
Buettner, S. [10 ]
Koerkamp, B. Groot [10 ]
Doukas, M. [11 ]
Chandwani, Rohit [12 ]
Jarnagin, William R. [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Dept Surg, 1275 York Ave,C-891, New York, NY 10065 USA
[2] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, New York, NY 10065 USA
[3] Mem Sloan Kettering Canc Ctr, Human Oncol & Pathogenesis Program, New York, NY 10065 USA
[4] Mem Sloan Kettering Canc Ctr, Dept Pathol, New York, NY 10065 USA
[5] Duke Univ, Dept Surg, Durham, NC USA
[6] Mem Sloan Kettering Canc Ctr, Dept Med, New York, NY 10065 USA
[7] Univ Penn, Dept Surg, Philadelphia, PA 19014 USA
[8] Queens Univ, Dept Biomed & Mol Sci, Kingston, ON, Canada
[9] Trinity Coll Dublin, Dept Med, Dublin, Ireland
[10] Erasmus MC, Dept Surg, Canc Inst, Rotterdam, Netherlands
[11] Erasmus MC, Dept Pathol, Canc Inst, Rotterdam, Netherlands
[12] Weill Cornell Med, Dept Surg, New York, NY USA
关键词
ISOCITRATE DEHYDROGENASE 1; PRIMARY LIVER-CANCER; PHASE-II; MUTATIONS; PROGNOSIS; GROWTH; CHEMOTHERAPY; MULTICENTER; FEATURES; TARGETS;
D O I
10.1002/hep.31829
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background and Aim Genetic alterations in intrahepatic cholangiocarcinoma (iCCA) are increasingly well characterized, but their impact on outcome and prognosis remains unknown. Approach and Results This bi-institutional study of patients with confirmed iCCA (n = 412) used targeted next-generation sequencing of primary tumors to define associations among genetic alterations, clinicopathological variables, and outcome. The most common oncogenic alterations were isocitrate dehydrogenase 1 (IDH1; 20%), AT-rich interactive domain-containing protein 1A (20%), tumor protein P53 (TP53; 17%), cyclin-dependent kinase inhibitor 2A (CDKN2A; 15%), breast cancer 1-associated protein 1 (15%), FGFR2 (15%), polybromo 1 (12%), and KRAS (10%). IDH1/2 mutations (mut) were mutually exclusive with FGFR2 fusions, but neither was associated with outcome. For all patients, TP53 (P < 0.0001), KRAS (P = 0.0001), and CDKN2A (P < 0.0001) alterations predicted worse overall survival (OS). These high-risk alterations were enriched in advanced disease but adversely impacted survival across all stages, even when controlling for known correlates of outcome (multifocal disease, lymph node involvement, bile duct type, periductal infiltration). In resected patients (n = 209), TP53mut (HR, 1.82; 95% CI, 1.08-3.06; P = 0.03) and CDKN2A deletions (del; HR, 3.40; 95% CI, 1.95-5.94; P < 0.001) independently predicted shorter OS, as did high-risk clinical variables (multifocal liver disease [P P < 0.001]), whereas KRASmut (HR, 1.69; 95% CI, 0.97-2.93; P = 0.06) trended toward statistical significance. The presence of both or neither high-risk clinical or genetic factors represented outcome extremes (median OS, 18.3 vs. 74.2 months; P < 0.001), with high-risk genetic alterations alone (median OS, 38.6 months; 95% CI, 28.8-73.5) or high-risk clinical variables alone (median OS, 37.0 months; 95% CI, 27.6-not available) associated with intermediate outcome. TP53mut, KRASmut, and CDKN2Adel similarly predicted worse outcome in patients with unresectable iCCA. CDKN2Adel tumors with high-risk clinical features were notable for limited survival and no benefit of resection over chemotherapy. Conclusions TP53, KRAS, and CDKN2A alterations were independent prognostic factors in iCCA when controlling for clinical and pathologic variables, disease stage, and treatment. Because genetic profiling can be integrated into pretreatment therapeutic decision-making, combining clinical variables with targeted tumor sequencing may identify patient subgroups with poor outcome irrespective of treatment strategy.
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收藏
页码:1429 / 1444
页数:16
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