リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma

河野 知樹 香川大学 DOI:10.3892/ol.2020.11696

2020.06.25

概要

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Clinical management has improved the prognosis of early HCC, but that of advanced HCC remains poor. Sorafenib, an oral multikinase inhibitor, provided a treatment option for advanced-stage HCC, and prolonged the survival and inhibited tumor progression as first-line therapy in patients with advanced HCC. In this study, we investigated if specific microRNAs could act as predictive biomarkers of sorafenib effectiveness and indicate the best time to switch to second-line therapies. Sorafenib inhibited the proliferation of the Li-7, Hep3B, HepG2 and Huh7 liver cancer cell lines (effective group), but not that of the HLE, HLF and ALEX cancer cell lines (non-effective group). A microRNA (miRNA/miR) analysis was performed comparing sorafenib-effective and non-effective cells lines as well as serum samples from patients with HCC from sorafenib-effective (complete response/partial response) and -non-effective (progressive disease) groups before sorafenib administration and detected three differentially-expressed miRNAs that were common among the in vivo and in vitro samples. The increase rate (effective/non-effective) of hsa-miR-30d in the medium was higher than that in the cancer cells. hsa-miR-30d was highly expressed in the serum and exosomes of patients with HCC in the effective group when compared to those of the non-effective group. Additionally, the hsa-miR-30d expression in the medium of cancer cell lines was highly upregulated in the effective group compared with the non-effective group. These results suggested that hsa-miR-30d might be secreted by the cancer cells to the serum through the exosomes. We identified a specific circulating miRNA that is related to refractory HCC under sorafenib therapy. Therefore, hsa-miR-30d might serve as a predictive biomarker for the efficacy of sorafenib therapy in HCC.

この論文で使われている画像

参考文献

1. Morishita A and Masaki T: miRNA in hepatocellular carcinoma.

Hepatol Res 45: 128‑141, 2015.

2. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet‑Tieulent J and

Jemal A: Global cancer statistics, 2012. CA Cancer J Clin 65:

87‑108, 2015.

3. Lacaze L and Scotté M: Surgical treatment of intra hepatic recurrence of hepatocellular carcinoma. World J Hepatol 7: 1755‑1760,

2015.

4. Imamura H, Matsuyama Y, Tanaka E, Ohkubo T, Hasegawa K,

Miyagawa S, Sugawara Y, Minagawa M, Takayama T, Kawasaki S

and Makuuchi M: Risk factors contributing to early and late

phase intrahepatic recurrence of hepatocellular carcinoma after

hepatectomy. J Hepatol 38: 200‑207, 2003.

5. Venook AP, Papandreou C, Furuse J and de Guevara LL: The

incidence and epidemiology of hepatocellular carcinoma: A global

and regional perspective. Oncologist 15 (Suppl 4): S5‑S13, 2010.

6. Kudo M: Systemic therapy for hepatocellular carcinoma: 2017

update. Oncology 93 (Suppl 1): S135‑S146, 2017.

7. Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF,

de Oliveira AC, Santoro A, Raoul JL, Forner A, et al: Sorafenib

in advanced hepatocellular carcinoma. N Engl J Med 359:

378‑390, 2008.

8. Pelosof L, Lemery S, Casak S, Jiang X, Rodriguez L, Pierre V,

Bi Y, Liu J, Zirkelbach JF, Patel A, et al: Benefit‑risk summary

of regorafenib for the treatment of patients with advanced

hepatocellular carcinoma that has progressed on Sorafenib.

Oncologist 23: 496‑500, 2018.

9. Belghiti J and Kianmanesh R: Surgical treatment of hepatocellular carcinoma. HPB (Oxford) 7: 42‑49, 2005.

10. Masaki T: MicroRNA and hepatocellular carcinoma. Hepatol

Res 39: 751‑752, 2009.

11. Krek A, Grün D, Poy MN, Wolf R, Rosenberg L, Epstein EJ,

MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M and

Rajewsky N: Combinatorial microRNA target predictions. Nat

Genet 37: 495‑500, 2005.

1733

12. Meng F, Henson R, Wehbe‑Janek H, Ghoshal K, Jacob ST

and Patel T: MicroRNA‑21 regulates expression of the PTEN

tumor suppressor gene in human hepatocellular cancer.

Gastroenterology 133: 647‑658, 2007.

13. Gramantieri L, Ferracin M, Fornari F, Veronese A, Sabbioni S,

Liu CG, Calin GA, Giovannini C, Ferrazzi E, Grazi GL, et al:

Cyclin G1 is a target of miR‑122a, a microRNA frequently

down‑regulated in human hepatocellular carcinoma. Cancer

Res 67: 6092‑6099, 2007.

14. Wong QW, Lung RW, Law PT, Lai PB, Chan KY, To KF and

Wong N: MicroRNA‑223 is commonly repressed in hepatocellular carcinoma and potentiates expression of Stathmin1.

Gastroenterology 135: 257‑269, 2008.

15. Varnholt H, Drebber U, Schulze F, Wedemeyer I, Schirmacher P,

Dienes HP and Odenthal M: MicroRNA gene expression profile

of hepatitis C virus‑associated hepatocellular carcinoma.

Hepatology 47: 1223‑1232, 2008.

16. Vaira V, Roncalli M, Carnaghi C, Faversani A, Maggioni M,

Augel lo C, R i massa L, P ressia n i T, Spagnuolo G,

Di Tommaso L, et al: MicroRNA‑425‑3p predicts response to

sorafenib therapy in patients with hepatocellular carcinoma.

Liver Int 35: 1077‑1086, 2015.

17. Gyöngyösi B, Végh É, Járay B, Székely E, Fassan M, Bodoky G,

Schaff Z and Kiss A: Pretreatment MicroRNA level and outcome

in Sorafenib‑treated hepatocellular carcinoma. J Histochem

Cytochem 62: 547‑555, 2014.

18. Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real‑time quantitative PCR and the 2(‑Delta Delta

C(T)) method. Methods 25: 402‑408, 2001.

19. El‑Serag HB: Hepatocellular carcinoma. N Engl J Med 365:

1118‑1127, 2011.

20. Kane RC, Farrell AT, Madabushi R, Booth B, Chattopadhyay S,

Sridhara R, Justice R and Pazdur R: Sorafenib for the treatment

of unresectable hepatocellular carcinoma. Oncologist 14: 95‑100,

2009.

21. Nishida N, Arizumi T, Hagiwara S, Ida H, Sakurai T and

Kudo M: MicroRNAs for the prediction of early response to

sorafenib treatment in human hepatocellular carcinoma. Liver

Cancer 6: 113‑125, 2017.

22. Yoon EL, Yeon JE, Ko E, Lee HJ, Je JH, Yoo YJ, Kang SH,

Suh SJ, Kim JH, Seo YS, et al: An explorative analysis for

the role of serum miR‑10b‑3p levels in predicting response to

sorafenib in patients with advanced hepatocellular carcinoma.

J Korean Med Sci 32: 212‑220, 2017.

23. Díez‑Planelles C, Sánchez‑Lozano P, Crespo MC, Gil‑Zamorano J,

Ribacoba R, González N, Suárez E, Martínez‑Descals A,

Martínez‑Camblor P, Álvarez V, et al: Circulating microRNAs in

Huntington's disease: Emerging mediators in metabolic impairment. Pharmacol Res 108: 102‑110, 2016.

24. Miquelestorena‑Standley E, Tallet A, Collin C, Piver E,

De Muret A, Salamé E, Bourlier P, Kervarrec T, Guyétant S and

Pagès JC: Interest of variations in microRNA‑152 and ‑122 in a

series of hepatocellular carcinomas related to hepatitis C virus

infection. Hepatol Res 48: 566‑573, 2018.

25. Coenen‑Stass AM, Betts CA, Lee YF, Mäger I, Turunen MP,

El Andaloussi S, Morgan JE, Wood MJ and Roberts TC: Selective

release of muscle‑specific, extracellular microRNAs during

myogenic differentiation. Hum Mol Genet 25: 3960‑3974, 2016.

26. Liu AM, Yao TJ, Wang W, Wong KF, Lee NP, Fan ST, Poon RT,

Gao C and Luk JM: Circulating miR‑15b and miR‑130b in serum

as potential markers for detecting hepatocellular carcinoma: A

retrospective cohort study. BMJ Open 2: e000825, 2012.

27. Nakao K, Miyaaki H and Ichikawa T: Antitumor function of microRNA‑122 against hepatocellular carcinoma.

J Gastroenterol 49: 589‑593, 2014.

This work is licensed under a Creative Commons

Attribution-NonCommercial-NoDerivatives 4.0

International (CC BY-NC-ND 4.0) License.

...

参考文献をもっと見る