BACKGROUND & AIMS: Cholangiocarcinoma, the second most common liver cancer, can be classified as intrahepatic cholangiocarcinoma (ICC) or extrahepatic cholangiocarcinoma. We performed an integrative genomic analysis of ICC samples from a large series of patients. METHODS: We performed a gene expression profile, high-density single-nucleotide polymorphism array, and mutation analyses using formalin-fixed ICC samples from 149 patients. Associations with clinicopathologic traits and patient outcomes were examined for 119 cases. Class discovery was based on a non-negative matrix factorization algorithm and significant copy number variations were identified by Genomic Identification of Significant Targets in Cancer (GISTIC) analysis. Gene set enrichment analysis was used to identify signaling pathways activated in specific molecular classes of tumors, and to analyze their genomic overlap with hepatocellular carcinoma (HCC). RESULTS: We identified 2 main biological classes of ICC. The inflammation class (38% of ICCs) is characterized by activation of inflammatory signaling pathways, overexpression of cytokines, and STAT3 activation. The proliferation class (62%) is characterized by activation of oncogenic signaling pathways (including RAS, mitogen-activated protein kinase, and MET), DNA amplifications at 11q13.2, deletions at 14q22.1, mutations in KRAS and BRAF, and gene expression signatures previously associated with poor outcomes for patients with HCC. Copy number variation-based clustering was able to refine these molecular groups further. We identified high-level amplifications in 5 regions, including 1p13 (9%) and 11q13.2 (4%), and several focal deletions, such as 9p21.3 (18%) and 14q22.1 (12% in coding regions for the SAV1 tumor suppressor). In a complementary approach, we identified a gene expression signature that was associated with reduced survival times of patients with ICC; this signature was enriched in the proliferation class (P < .001). CONCLUSIONS: We used an integrative genomic analysis to identify 2 classes of ICC. The proliferation class has specific copy number alterations, activation of oncogenic pathways, and is associated with worse outcome. Different classes of ICC, based on molecular features, therefore might require different treatment approaches.
BACKGROUND & AIMS:Cholangiocarcinoma, the second most common liver cancer, can be classified as intrahepatic cholangiocarcinoma (ICC) or extrahepatic cholangiocarcinoma. We performed an integrative genomic analysis of ICC samples from a large series of patients. METHODS: We performed a gene expression profile, high-density single-nucleotide polymorphism array, and mutation analyses using formalin-fixed ICC samples from 149 patients. Associations with clinicopathologic traits and patient outcomes were examined for 119 cases. Class discovery was based on a non-negative matrix factorization algorithm and significant copy number variations were identified by Genomic Identification of Significant Targets in Cancer (GISTIC) analysis. Gene set enrichment analysis was used to identify signaling pathways activated in specific molecular classes of tumors, and to analyze their genomic overlap with hepatocellular carcinoma (HCC). RESULTS: We identified 2 main biological classes of ICC. The inflammation class (38% of ICCs) is characterized by activation of inflammatory signaling pathways, overexpression of cytokines, and STAT3 activation. The proliferation class (62%) is characterized by activation of oncogenic signaling pathways (including RAS, mitogen-activated protein kinase, and MET), DNA amplifications at 11q13.2, deletions at 14q22.1, mutations in KRAS and BRAF, and gene expression signatures previously associated with poor outcomes for patients with HCC. Copy number variation-based clustering was able to refine these molecular groups further. We identified high-level amplifications in 5 regions, including 1p13 (9%) and 11q13.2 (4%), and several focal deletions, such as 9p21.3 (18%) and 14q22.1 (12% in coding regions for the SAV1 tumor suppressor). In a complementary approach, we identified a gene expression signature that was associated with reduced survival times of patients with ICC; this signature was enriched in the proliferation class (P < .001). CONCLUSIONS: We used an integrative genomic analysis to identify 2 classes of ICC. The proliferation class has specific copy number alterations, activation of oncogenic pathways, and is associated with worse outcome. Different classes of ICC, based on molecular features, therefore might require different treatment approaches.
Authors: Juan Valle; Harpreet Wasan; Daniel H Palmer; David Cunningham; Alan Anthoney; Anthony Maraveyas; Srinivasan Madhusudan; Tim Iveson; Sharon Hughes; Stephen P Pereira; Michael Roughton; John Bridgewater Journal: N Engl J Med Date: 2010-04-08 Impact factor: 91.245
Authors: Srdan Verstovsek; Hagop Kantarjian; Ruben A Mesa; Animesh D Pardanani; Jorge Cortes-Franco; Deborah A Thomas; Zeev Estrov; Jordan S Fridman; Edward C Bradley; Susan Erickson-Viitanen; Kris Vaddi; Richard Levy; Ayalew Tefferi Journal: N Engl J Med Date: 2010-09-16 Impact factor: 91.245
Authors: H Momoi; T Itoh; Y Nozaki; Y Arima; H Okabe; S Satoh; Y Toda; E Sakai; K Nakagawara; P Flemming; M Yamamoto; Y Shimahara; Y Yamaoka; M Fukumoto Journal: J Hepatol Date: 2001-08 Impact factor: 25.083
Authors: J-F Rossi; S Négrier; N D James; I Kocak; R Hawkins; H Davis; U Prabhakar; X Qin; P Mulders; B Berns Journal: Br J Cancer Date: 2010-08-31 Impact factor: 7.640
Authors: Shahid A Khan; Simon D Taylor-Robinson; Mireille B Toledano; Angus Beck; Paul Elliott; Howard C Thomas Journal: J Hepatol Date: 2002-12 Impact factor: 25.083
Authors: Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal Journal: Nature Date: 2002-06-09 Impact factor: 49.962
Authors: George Miller; Nicholas D Socci; Deepti Dhall; Michael D'Angelica; Ronald P DeMatteo; Peter J Allen; Bhuvanesh Singh; Yuman Fong; Leslie H Blumgart; David S Klimstra; William R Jarnagin Journal: J Exp Clin Cancer Res Date: 2009-05-12
Authors: Jeffrey S Ross; Kai Wang; Laurie Gay; Rami Al-Rohil; Janne V Rand; David M Jones; Hwa J Lee; Christine E Sheehan; Geoff A Otto; Gary Palmer; Roman Yelensky; Doron Lipson; Deborah Morosini; Matthew Hawryluk; Daniel V T Catenacci; Vincent A Miller; Chaitanya Churi; Siraj Ali; Philip J Stephens Journal: Oncologist Date: 2014-02-21