1. |
Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet, 2018, 391(10127): 1301-1314.
|
2. |
Lacaze L, Scotté M. Surgical treatment of intra hepatic recurrence of hepatocellular carcinoma. World J Hepatol, 2015, 7(13): 1755-1760.
|
3. |
Ikeda M, Morizane C, Ueno M, et al. Chemotherapy for hepatocellular carcinoma: current status and future perspectives. Jpn J Clin Oncol, 2018, 48(2): 103-114.
|
4. |
Peitzsch C, Tyutyunnykova A, Pantel K, et al. Cancer stem cells: the root of tumor recurrence and metastases. Semin Cancer Biol, 2017, 44: 10-24.
|
5. |
Malta TM, Sokolov A, Gentles AJ, et al. Machine learning identifies stemness features associated with oncogenic dedifferentiation. Cell, 2018, 173(2): 338-354.
|
6. |
Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 2008, 9: 559.
|
7. |
Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc, 2009, 4(1): 44-57.
|
8. |
Szklarczyk D, Gable AL, Lyon D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res, 2019, 47(D1): D607-D613.
|
9. |
Nagy Á, Lánczky A, Menyhárt O, et al. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets. Sci Rep, 2018, 8(1): 9227.
|
10. |
Lian Q, Wang S, Zhang G, et al. HCCDB: a database of hepatocellular carcinoma expression atlas. Genomics Proteomics Bioinformatics, 2018, 16(4): 269-275.
|
11. |
Chang JC. Cancer stem cells: role in tumor growth, recurrence, metastasis, and treatment resistance. Medicine (Baltimore), 2016, 95(1 Suppl 1): S20-S25.
|
12. |
Olmeda F, Ben Amar M. Clonal pattern dynamics in tumor: the concept of cancer stem cells. Sci Rep, 2019, 9(1): 15607.
|
13. |
Reinemann DN, Sturgill EG, Das DK, et al. Collective force regulation in anti-parallel microtubule gliding by dimeric Kif15 Kinesin motors. Curr Biol, 2017, 27(18): 2810-2820.
|
14. |
Wu WD, Yu KW, Zhong N, et al. Roles and mechanisms of Kinesin-6 KIF20A in spindle organization during cell division. Eur J Cell Biol, 2019, 98(2-4): 74-80.
|
15. |
Sheng Y, Wang W, Hong B, et al. Upregulation of KIF20A correlates with poor prognosis in gastric cancer. Cancer Manag Res, 2018, 10: 6205-6216.
|
16. |
Shen T, Yang L, Zhang Z, et al. KIF20A affects the prognosis of bladder cancer by promoting the proliferation and metastasis of bladder cancer cells. Dis Markers, 2019, 2019: 4863182.
|
17. |
Shi C, Huang D, Lu N, et al. Aberrantly activated Gli2-KIF20A axis is crucial for growth of hepatocellular carcinoma and predicts poor prognosis. Oncotarget, 2016, 7(18): 26206-26219.
|
18. |
Li Q, Qiu J, Yang H, et al. Kinesin family member 15 promotes cancer stem cell phenotype and malignancy via reactive oxygen species imbalance in hepatocellular carcinoma. Cancer Lett, 2019, [Epub ahead of print].
|
19. |
Lian YF, Li SS, Huang YL, et al. Up-regulated and interrelated expressions of GINS subunits predict poor prognosis in hepatocellular carcinoma. Biosci Rep, 2018, 38(6): BSR20181178.
|
20. |
Nagahama Y, Ueno M, Miyamoto S, et al. PSF1, a DNA replication factor expressed widely in stem and progenitor cells, drives tumo-rigenic and metastatic properties. Cancer Res, 2010, 70(3): 1215-1224.
|
21. |
Guan C, Li J, Sun D, et al. The structure and polymerase-recognition mechanism of the crucial adaptor protein AND-1 in the human replisome. J Biol Chem, 2017, 292(23): 9627-9636.
|
22. |
Simon NE, Schwacha A. The Mcm2-7 replicative helicase: a pro-mising chemotherapeutic target. Biomed Res Int, 2014, 2014: 549719.
|
23. |
Zhang HP, Li SY, Wang JP, et al. Clinical significance and biological roles of cyclins in gastric cancer. Onco Targets Ther, 2018, 11: 6673-6685.
|
24. |
Zhang X, Zheng Q, Wang C, et al. CCDC106 promotes non-small cell lung cancer cell proliferation. Oncotarget, 2017, 8(16): 26662-26670 .
|
25. |
Yuan LJ, Li JD, Zhang L, et al. SPAG5 upregulation predicts poor prognosis in cervical cancer patients and alters sensitivity to taxol treatment via the mTOR signaling pathway. Cell Death Dis, 2014, 5: e1247.
|
26. |
Lee SH, Oh SY, Do SI, et al. SOX2 regulates self-renewal and tumorigenicity of stem-like cells of head and neck squamous cell carcinoma. Br J Cancer, 2014, 111(11): 2122-2130.
|
27. |
Shen S, Kong J, Qiu Y, et al. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis. J Cell Biochem, 2019, 120(6): 10069-10081.
|
28. |
Cui F, Tang H, Tan J, et al. Spindle pole body component 25 regulates stemness of prostate cancer cells. Aging (Albany NY), 2018, 10(11): 3273-3282.
|
29. |
Choi M, Min YH, Pyo J, et al. TC Mps1 12, a novel Mps1 inhibitor, suppresses the growth of hepatocellular carcinoma cells via the accumulation of chromosomal instability. Br J Pharmacol, 2017, 174(12): 1810-1825.
|
30. |
Huang D, Gao Q, Guo L, et al. Isolation and identification of cancer stem-like cells in esophageal carcinoma cell lines. Stem Cells Dev, 2009, 18(3): 465-473.
|
31. |
Zhou W, Yang Y, Gu Z, et al. ALDH1 activity identifies tumor-initiating cells and links to chromosomal instability signatures in multiple myeloma. Leukemia, 2014, 28(5): 1155-1158.
|
32. |
Hu K, Law JH, Fotovati A, et al. Small interfering RNA library screen identified polo-like kinase-1 (PLK1) as a potential therapeutic target for breast cancer that uniquely eliminates tumor-initiating cells. Breast Cancer Res, 2012, 14(1): R22.
|
33. |
Park JH, Chung S, Matsuo Y, et al. Development of small molecular compounds targeting cancer stem cells. Medchemcomm, 2016, 8(1): 73-80.
|
34. |
Wang Y, Gao B, Tan PY, et al. Genome-wide CRISPR knockout screens identify NCAPG as an essential oncogene for hepato-cellular carcinoma tumor growth. FASEB J, 2019, 33(8): 8759-8770.
|
35. |
Gong C, Ai J, Fan Y, et al. NCAPG promotes the proliferation of hepatocellular carcinoma through PI3K/AKT signaling. Onco Targets Ther, 2019, 12: 8537-8552.
|
36. |
Pan S, Zhan Y, Chen X, et al. Identification of biomarkers for controlling cancer stem cell characteristics in bladder cancer by network analysis of transcriptome data stemness indices. Front Oncol, 2019, 9: 613.
|