High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype.
High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype.
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DOI:
10.1016/j.tranon.2018.10.010
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发表时间:
2019-03
影响因子:
5
通讯作者:
Haybaeck J
中科院分区:
文献类型:
--
作者:
Golob-Schwarzl N;Bettermann K;Mehta AK;Kessler SM;Unterluggauer J;Krassnig S;Kojima K;Chen X;Hoshida Y;Bardeesy NM;Müller H;Svendova V;Schimek MG;Diwoky C;Lipfert A;Mahajan V;Stumptner C;Thüringer A;Fröhlich LF;Stojakovic T;Nilsson KPR;Kolbe T;Rülicke T;Magin TM;Strnad P;Kiemer AK;Moriggl R;Haybaeck J
BACKGROUND & AIMS: Steatohepatitis (SH) and SH-associated hepatocellular carcinoma (HCC) are of considerable clinical significance. SH is morphologically characterized by steatosis, liver cell ballooning, cytoplasmic aggregates termed Mallory-Denk bodies (MDBs), inflammation, and fibrosis at late stage. Disturbance of the keratin cytoskeleton and aggregation of keratins (KRTs) are essential for MDB formation. METHODS: We analyzed livers of aged Krt18−/− mice that spontaneously developed in the majority of cases SH-associated HCC independent of sex. Interestingly, the hepatic lipid profile in Krt18−/− mice, which accumulate KRT8, closely resembles human SH lipid profiles and shows that the excess of KRT8 over KRT18 determines the likelihood to develop SH-associated HCC linked with enhanced lipogenesis. RESULTS: Our analysis of the genetic profile of Krt18−/− mice with 26 human hepatoma cell lines and with data sets of >300 patients with HCC, where Krt18−/− gene signatures matched human HCC. Interestingly, a high KRT8/18 ratio is associated with an aggressive HCC phenotype. CONCLUSIONS: We can prove that intermediate filaments and their binding partners are tightly linked to hepatic lipid metabolism and to hepatocarcinogenesis. We suggest KRT8/18 ratio as a novel HCC biomarker for HCC.
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影响因子:
4.2
作者:
Hoshida Y;Toffanin S;Lachenmayer A;Villanueva A;Minguez B;Llovet JM
通讯作者:
Llovet JM
影响因子:
25.7
作者:
Beyoglu, Diren;Idle, Jeffrey R.
通讯作者:
Idle, Jeffrey R.
影响因子:
--
作者:
Bettermann K;Mehta AK;Hofer EM;Wohlrab C;Golob-Schwarzl N;Svendova V;Schimek MG;Stumptner C;Thüringer A;Speicher MR;Lackner C;Zatloukal K;Denk H;Haybaeck J
通讯作者:
Haybaeck J
影响因子:
11.2
作者:
Hoshida Y;Nijman SM;Kobayashi M;Chan JA;Brunet JP;Chiang DY;Villanueva A;Newell P;Ikeda K;Hashimoto M;Watanabe G;Gabriel S;Friedman SL;Kumada H;Llovet JM;Golub TR
通讯作者:
Golub TR
影响因子:
4.5
作者:
Lachenmayer, Anja;Alsinet, Clara;Chang, Charissa Y.;Llovet, Josep M.
通讯作者:
Llovet, Josep M.