Author Correction: A systems biology-based investigation into the therapeutic effects of Gansui Banxia Tang on reversing the imbalanced network of hepatocellular carcinoma (Scientific Reports, (2014), 4, 1, (4154), 10.1038/srep04154);A systems biology-based investigation into the therapeutic effects of Gansui Banxia Tang on reversing the imbalanced network of hepatocellular carcinoma

Scientific Reports

Volumn 4, Issue , 2014, Pages

  Zhang, Yanqiong ^a   Guo, Xiaodong ^b   Wang, Danhua ^a   Li, Ruisheng ^b   Li, Xiaojuan ^b   Xu, Ying ^a   Liu, Zhenli ^a   Song, Zhiqian ^a   Lin, Ya ^a   Li, Zhiyan ^b   Lin, Na ^a  

^a INSTITUTE OF CHINESE MATERIA MEDICA   (China)

^b BEIJING 302 HOSPITAL   (China)

Author keywords

[No Author keywords available]

Indexed keywords

HERBACEOUS AGENT;

ANIMAL; BAGG ALBINO MOUSE; BIOLOGY; CARCINOMA, HEPATOCELLULAR; CELL PROLIFERATION; DISEASE MODEL; DRUG EFFECTS; HEPG2 CELL LINE; HUMAN; LIVER NEOPLASMS; MALE; METABOLISM; MOUSE; NUDE MOUSE; PATHOLOGY; PROTEIN DATABASE; PROTEIN PROTEIN INTERACTION; XENOGRAFT;

ANIMALS; CARCINOMA, HEPATOCELLULAR; CELL PROLIFERATION; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DISEASE MODELS, ANIMAL; DRUGS, CHINESE HERBAL; HEP G2 CELLS; HUMANS; LIVER NEOPLASMS; MALE; MICE; MICE, INBRED BALB C; MICE, NUDE; PROTEIN INTERACTION MAPS; TRANSPLANTATION, HETEROLOGOUS;

EID: 84894678025     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-022-22833-6     Document Type: Erratum

References (44)

1. Parkin, D. M. et al. Global cancer statistics, 2002. CA Cancer J. Clin. 55, 74-108 (2005). (Pubitemid 40372904)
2. Sherman, M. Recurrence of hepatocellular carcinoma. N. Engl. J. Med. 359, 2045-2047 (2008).
3. Thorgeirsson, S. S. & Grisham, J. W. Molecular pathogenesis of human hepatocellular carcinoma. Nat. Genet. 31, 339-346 (2002). (Pubitemid 35154440)
4. Forner, A., Llovet, J. M. & Bruix, J. Hepatocellular carcinoma. Lancet. 379, 1245-1255 (2012).
5. Li, R. et al. Imbalanced network biomarkers for traditional Chinese medicine Syndrome in gastritis patients. Sci. Rep. 3, 1543; doi:10.1038/ srep01543 (2013).
6. Hyodo, I. et al. Nationwide survey on complementary and alternative medicine in cancer patients in Japan. J. Clin. Oncol. 23, 2645-2654 (2005). (Pubitemid 46179453)
7. Swarup, A. B. et al. The use of complementary and alternativemedicine by cancer patients undergoing radiation therapy. Am. J. Clin. Oncol. 29, 468-473 (2006). (Pubitemid 44536028)
8. Ezeome, E. R. & Anarado, A. N. Use of complementary and alternative medicine by cancer patients at the University of Nigeria Teaching Hospital, Enugu, Nigeria. BMC Complement Altern. Med. 7, 28 (2007).
9. Liao, Y. H. et al. Utilization pattern of traditional Chinese medicine for liver cancer patients in Taiwan. BMC Complement Altern. Med. 12, 146 (2012).
10. Li, X. et al. Traditional chinese medicine in cancer care: a review of controlled clinical studies published in chinese. PLoS One. 8, e60338 (2013).
11. Li, M. et al. Application of traditional Chinese medicine injection in treatment of primary liver cancer: a review. J. Tradit. Chin. Med. 32, 299-307 (2012).
12. Wang, G. Z. & Li, H. C. Application of GSBXT in treatment of fluid retention. J. Handan Med. College. 10, 182-183 (1997). In Chinese.
13. Song, W. Q. Utilization pattern of GSBXT in clinics. J. Tradit. Chin. Med. 34, 492 (1993) In Chinese.
14. Yu, F. R. et al. Isolation and characterization of methyl esters and derivatives from Euphorbia kansui (Euphorbiaceae) and their inhibitory effects on the human SGC-7901 cells. J. Pharm. Pharm. Sci. 8, 528-535 (2005).
15. Chen, L. In vitro Experimental Study of the Effect of Euphorbia kansui Extract on Human BEL-7402. Acta BOt. Boreal. Occident. Sin. 28, 1889-1892 (2008). In Chinese.
16. Xia, B. Application of GSBXT in treatment of liver cancer. Shanxi J. Tradit. Chin. Med. 5, 24 (1989) In Chinese.
17. He, X. et al. Down-regulation of Treg cells and up-regulation of TH1/TH2 cytokine ratio were induced by polysaccharide from Radix Glycyrrhizae in H22 hepatocarcinoma bearing mice. Molecules. 16, 8343-8352 (2011).
18. Wang, Z. H. Application of GSBXT in treatment of esophageal cancer. Tianjin med. onco. 5, 24 (1989) In Chinese.
19. Yu, F. et al. Cytotoxic activity of an octadecenoic acid extract from Euphorbia kansui (Euphorbiaceae) on human tumour cell strains. J. Pharm. Pharmacol. 60, 253-259 (2008). (Pubitemid 351211842)
20. Zhang, Y. et al. A systems biology-based investigation into the pharmacological mechanisms of Wu Tou Tang acting on rheumatoid arthritis by integrating network analysis. Evid. Based Complement Alternat. Med. 2013, 548498 (2013).
21. Csermely, P. et al. Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review. Pharmacol Ther. 138, 333-408 (2013).
22. Li, S. et al. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network. IET Syst. Biol. 1, 51-60 (2007). (Pubitemid 46779218)
23. Chen, C. Y.-C. TCM Database@Taiwan: TheWorld's Largest Traditional Chinese Medicine Database for Drug Screening In Silico. PLoS ONE 6, e15939 (2011).
24. Su, W. H. et al. OncoDB.HCC: an integrated oncogenomic database of hepatocellular carcinoma revealed aberrant cancer target genes and loci. Nucleic Acids Res. 35(Database issue), D727-D731 (2007).
25. He, B. et al. HCCNet: an integrated network database of hepatocellular carcinoma. Cell Res. 20, 732-734 (2010).
26. Yu, X. J. et al. dbHCCvar: a comprehensive database of human genetic variations in hepatocellular carcinoma. Hum. Mutat. 32, E2308-E2316 (2011).
27. Hsu, C. N. et al. Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online). BMC Bioinformatics. 8, 66 (2007).
28. Lee, L. et al. Liverome: a curated database of liver cancer-related gene signatures with self-contained context information. BMC Genomics 12(Suppl 3), S3 (2011).
29. Chen, J. Y. et al. HAPPI: an online database of comprehensive human annotated and predicted protein interactions. BMC Genomics. 10 Suppl 1, S16 (2009).
30. Matthews, L. et al. Reactome knowledgebase of human biological pathways and processes. Nucleic Acids Res. 37, D619-D622 (2009).
31. Brown, K. R. & Jurisica, I. Online predicted human interaction database. Bioinformatics. 21, 2076-2082 (2005). (Pubitemid 40668047)
32. Aranda, B. et al. The IntAct molecular interaction database in 2010. Nucleic Acids Res. 38, D525-D531 (2010).
33. Keshava Prasad, T. S. et al. Human Protein Reference Database - 2009 update. Nucleic Acids Res 37, D767-D772 (2009).
34. Ceol, A. et al. MINT, the molecular interaction database: 2009 update. Nucleic Acids Res. 38, D532-D539 (2010).
35. Lehne, B. & Schlitt, T. Protein-protein interaction databases: keeping up with growing interactomes. Hum. Genomics. 3, 291-297 (2009).
36. Beuming, T. et al. PDZBase: a protein-protein interaction database for PDZdomains. Bioinformatics. 21, 827-828 (2005). (Pubitemid 40439423)
37. Zhu, F. et al. Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery. Nucleic Acids Res. 40, D1128-D1136 (2012).
38. Dennis, G. Jr. et al. DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biol. 4, P3 (2003).
39. Wixon, J.&Kell, D. TheKyoto encyclopedia of genes and genomes-KEGG. Yeast. 17, 48-55 (2000).
40. Wang, Y. et al. Drug target prediction based on the herbs components: the study on the multitargets pharmacological mechanism of qishenkeli acting on the coronary heart disease. Evid. Based Complement Alternat. Med. 2012, 698531 (2012).
41. Wuchty, S. & Almaas, E. Evolutionary cores of domain co-occurrence networks. BMC Evol. Biol. 5, 24 (2005).
42. Liu, C. et al. Triptolide Prevents Bone Destruction in the Collagen-Induced Arthritis Model of Rheumatoid Arthritis by Targeting RANKL/RANK/OPG Signal Pathway. Evid. Based Complement Alternat. Med. 2013, 626038 (2013).
43. Zhang, Y. et al. MicroRNA-101 suppresses SOX9-dependent tumorigenicity and promotes favorable prognosis of human hepatocellular carcinoma. FEBS Lett. 586, 4362-4370 (2012).
44. Guo, X. et al. L1 cell adhesion molecule overexpression in hepatocellular carcinoma associates with advanced tumor progression and poor patient survival. Diagn. Pathol. 7, 96 (2012).