1
|
Ritter J and Bielack SS: Osteosarcoma. Ann
Oncol. 21 (Suppl 7):vii320–vii325. 2010. View Article : Google Scholar : PubMed/NCBI
|
2
|
Tumijan W, Khattak MN, Nadiah WA and Naing
NN: Five-year survival of osteosarcoma patients in hospital
universiti sains malaysia (Husm): An eleven year review. Res J
Pharmacy Technol. 11:3534–3542. 2018. View Article : Google Scholar
|
3
|
Chen X, Bahrami A, Pappo A, Easton J,
Dalton J, Hedlund E, Ellison D, Shurtleff S, Wu G, Wei L, et al:
Recurrent somatic structural variations contribute to tumorigenesis
in pediatric osteosarcoma. Cell Rep. 7:104–112. 2014. View Article : Google Scholar : PubMed/NCBI
|
4
|
Martincorena I, Raine KM, Gerstung M,
Dawson KJ, Haase K, Van Loo P, Davies H, Stratton MR and Campbell
PJ: Universal patterns of selection in cancer and somatic tissues.
Cell. 171:1029–1041.e21. 2017. View Article : Google Scholar : PubMed/NCBI
|
5
|
Cheng F, Zhao J and Zhao Z: Advances in
computational approaches for prioritizing driver mutations and
significantly mutated genes in cancer genomes. Brief Bioinform.
17:642–656. 2016. View Article : Google Scholar : PubMed/NCBI
|
6
|
Forbes SA, Beare D, Gunasekaran P, Leung
K, Bindal N, Boutselakis H, Ding M, Bamford S, Cole C, Ward S, et
al: COSMIC: Exploring the world's knowledge of somatic mutations in
human cancer. Nucleic Acids Res. 43((Database Issue)): D805–D811.
2015. View Article : Google Scholar : PubMed/NCBI
|
7
|
Rogers MF, Shihab HA, Gaunt TR and
Campbell C: CScape: A tool for predicting oncogenic single-point
mutations in the cancer genome. Sci Rep. 7:115972017. View Article : Google Scholar : PubMed/NCBI
|
8
|
Shihab HA, Rogers MF, Gough J, Mort M,
Cooper DN, Day IN, Gaunt TR and Campbell C: An integrative approach
to predicting the functional effects of non-coding and coding
sequence variation. Bioinformatics. 31:1536–1543. 2015. View Article : Google Scholar : PubMed/NCBI
|
9
|
Dong C, Guo Y, Yang H, He Z, Liu X and
Wang K: iCAGES: Integrated CAncer GEnome Score for comprehensively
prioritizing driver genes in personal cancer genomes. Genome Med.
8:1352016. View Article : Google Scholar : PubMed/NCBI
|
10
|
Cho A, Shim JE, Kim E, Supek F, Lehner B
and Lee I: MUFFINN: Cancer gene discovery via network analysis of
somatic mutation data. Genome Biol. 17:1292016. View Article : Google Scholar : PubMed/NCBI
|
11
|
Shihab HA, Gough J, Cooper DN, Stenson PD,
Barker GL, Edwards KJ, Day IN and Gaunt TR: Predicting the
functional, molecular, and phenotypic consequences of amino acid
substitutions using hidden Markov models. Hum Mutat. 34:57–65.
2013. View Article : Google Scholar : PubMed/NCBI
|
12
|
Merid SK, Goranskaya D and Alexeyenko A:
Distinguishing between driver and passenger mutations in individual
cancer genomes by network enrichment analysis. BMC Bioinformatics.
15:3082014. View Article : Google Scholar : PubMed/NCBI
|
13
|
Kuijjer ML, Peterse EF, van den Akker BE,
Briaire-de Bruijn IH, Serra M, Meza-Zepeda LA, Myklebost O, Hassan
AB, Hogendoorn PC and Cleton-Jansen AM: IR/IGF1R signaling as
potential target for treatment of high-grade osteosarcoma. BMC
Cancer. 13:2452013. View Article : Google Scholar : PubMed/NCBI
|
14
|
Zhang T and Zhang D: Integrating omics
data and protein interaction networks to prioritize driver genes in
cancer. Oncotarget. 8:58050–58060. 2017.PubMed/NCBI
|
15
|
Breiman L: Random forests. Machine
Learning. 45:5–32. 2001. View Article : Google Scholar
|
16
|
Wen Z, Liu ZP, Liu Z, Zhang Y and Chen L:
An integrated approach to identify causal network modules of
complex diseases with application to colorectal cancer. J Am Med
Inform Assoc. 20:659–667. 2013. View Article : Google Scholar : PubMed/NCBI
|
17
|
Zheng S and Zhao Z: GenRev: Exploring
functional relevance of genes in molecular networks. Genomics.
99:183–188. 2012. View Article : Google Scholar : PubMed/NCBI
|
18
|
Dupont P, Callut J, Dooms G, Monette JN
and Deville Y: Relevant subgraph extraction from random walks in a
graph. Research Report UCL/FSA/INGI RR 2006-07. 2006.
|
19
|
Miao YR, Liu W, Zhang Q and Guo AY:
lncRNASNP2: An updated database of functional SNPs and mutations in
human and mouse lncRNAs. Nucleic Acids Res. 46:D276–D280. 2018.
View Article : Google Scholar : PubMed/NCBI
|
20
|
Bashashati A, Haffari G, Ding J, Ha G, Lui
K, Rosner J, Huntsman DG, Caldas C, Aparicio SA and Shah SP:
DriverNet: Uncovering the impact of somatic driver mutations on
transcriptional networks in cancer. Genome Biol. 13:R1242012.
View Article : Google Scholar : PubMed/NCBI
|
21
|
Hou JP and Ma J: DawnRank: Discovering
personalized driver genes in cancer. Genome Med. 6:562014.
View Article : Google Scholar : PubMed/NCBI
|
22
|
Liu Y, Zhang X, Han C, Wan G, Huang X,
Ivan C, Jiang D, Rodriguez-Aguayo C, Lopez-Berestein G, Rao PH, et
al: TP53 loss creates therapeutic vulnerability in colorectal
cancer. Nature. 520:697–701. 2015. View Article : Google Scholar : PubMed/NCBI
|
23
|
Li G, Zhang W, Zeng H, Chen L, Wang W, Liu
J, Zhang Z and Cai Z: An integrative multi-platform analysis for
discovering biomarkers of osteosarcoma. BMC Cancer. 9:1502009.
View Article : Google Scholar : PubMed/NCBI
|
24
|
Behjati S and Tarpey PS: What is next
generation sequencing. Arch Dis Child Educ Pract Ed. 98:236–238.
2013. View Article : Google Scholar : PubMed/NCBI
|
25
|
Ma M, Wang C, Glicksberg BS, Schadt EE, Li
SD and Chen R: Identify cancer driver genes through shared
Mendelian disease pathogenic variants and cancer somatic mutations.
Pac Symp Biocomput. 22:473–484. 2017.PubMed/NCBI
|
26
|
Do SI, Jung WW, Kim HS and Park YK: The
expression of epidermal growth factor receptor and its downstream
signaling molecules in osteosarcoma. Int J Oncol. 34:797–803.
2009.PubMed/NCBI
|
27
|
Fu HL, Shao L, Wang Q, Jia T, Li M and
Yang DP: A systematic review of p53 as a biomarker of survival in
patients with osteosarcoma. Tumour Biol. 34:3817–3821. 2013.
View Article : Google Scholar : PubMed/NCBI
|
28
|
Henson E, Chen Y and Gibson S: EGFR family
Members' regulation of autophagy is at a crossroads of cell
survival and death in cancer. Cancers (Basel). 9:E272017.
View Article : Google Scholar : PubMed/NCBI
|
29
|
Lamora A, Talbot J, Mullard M, Brounais-Le
Royer B, Redini F and Verrecchia F: TGF-β signaling in bone
remodeling and osteosarcoma progression. J Clin Med. 5:E962016.
View Article : Google Scholar : PubMed/NCBI
|
30
|
Sulzmaier FJ, Jean C and Schlaepfer DD:
FAK in cancer: Mechanistic findings and clinical applications. Nat
Rev Cancer. 14:598–610. 2014. View Article : Google Scholar : PubMed/NCBI
|
31
|
Starczynowski DT, Lockwood WW, Deléhouzée
S, Chari R, Wegrzyn J, Fuller M, Tsao MS, Lam S, Gazdar AF, Lam WL
and Karsan A: TRAF6 is an amplified oncogene bridging the RAS and
NF-κB pathways in human lung cancer. J Clin Invest. 121:4095–4105.
2011. View Article : Google Scholar : PubMed/NCBI
|
32
|
Meng Q, Zheng M, Liu H, Song C, Zhang W,
Yan J, Qin L and Liu X: TRAF6 regulates proliferation, apoptosis,
and invasion of osteosarcoma cell. Mol Cell Biochem. 371:177–186.
2012. View Article : Google Scholar : PubMed/NCBI
|
33
|
Krisenko MO and Geahlen RL: Calling in
SYK: SYK's dual role as a tumor promoter and tumor suppressor in
cancer. Biochim Biophys Acta. 1853:254–263. 2015. View Article : Google Scholar : PubMed/NCBI
|
34
|
Sun L, Li J and Yan B: Gene expression
profiling analysis of osteosarcoma cell lines. Mol Med Rep.
12:4266–4272. 2015. View Article : Google Scholar : PubMed/NCBI
|
35
|
Chen MJ, Wu DW, Wang YC, Chen CY and Lee
H: PAK1 confers chemoresistance and poor outcome in non-small cell
lung cancer via β-catenin-mediated stemness. Sci Rep. 6:349332016.
View Article : Google Scholar : PubMed/NCBI
|
36
|
Chen YL, Huang WC, Yao HL, Chen PM, Lin
PY, Feng FY and Chu PY: Down-regulation of RASA1 is associated with
poor prognosis in human hepatocellular carcinoma. Anticancer Res.
37:781–785. 2017. View Article : Google Scholar : PubMed/NCBI
|
37
|
Wolf M, El-Rifai W, Tarkkanen M, Kononen
J, Serra M, Eriksen EF, Elomaa I, Kallioniemi A, Kallioniemi OP and
Knuutila S: Novel findings in gene expression detected in human
osteosarcoma by cDNA microarray. Cancer Genet Cytogenet.
123:128–132. 2000. View Article : Google Scholar : PubMed/NCBI
|
38
|
Supek F, Miñana B, Valcárcel J, Gabaldón T
and Lehner B: Synonymous mutations frequently act as driver
mutations in human cancers. Cell. 156:1324–1335. 2014. View Article : Google Scholar : PubMed/NCBI
|