|
1
|
Torre LA, Siegel RL and Jemal A: Lung
Cancer Statistics. Adv Exp Med Biol. 893:1–19. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
de Castro J, Tagliaferri P, de Lima VCC,
Ng S, Thomas M, Arunachalam A, Cao X, Kothari S, Burke T, Myeong H,
et al: Systemic therapy treatment patterns in patients with
advanced non-small cell lung cancer (NSCLC): PIvOTAL study. Eur J
Cancer Care (Engl). 26:e127342017. View Article : Google Scholar
|
|
3
|
Selvaggi G and Scagliotti GV: Histologic
subtype in NSCLC: Does it matter? Oncology (Williston Park).
23:1133–1140. 2009.PubMed/NCBI
|
|
4
|
Janssen-Heijnen ML, Schipper RM,
Klinkhamer PJ, Crommelin MA, Mooi WJ and Coebergh JW: Divergent
changes in survival for histological types of non-small-cell lung
cancer in the southeastern area of The Netherlands since 1975. Br J
Cancer. 77:2053–2057. 1998. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Huang H, Tang Y, He W, Huang Q, Zhong J
and Yang Z: Key pathways and genes controlling the development and
progression of clear cell renal cell carcinoma (ccRCC) based on
gene set enrichment analysis. Int Urol Nephrol. 46:539–553. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Barrett T, Troup DB, Wilhite SE, Ledoux P,
Rudnev D, Evangelista C, Kim IF, Soboleva A, Tomashevsky M and
Edgar R: NCBI GEO: Mining tens of millions of expression profiles -
database and tools update. Nucleic Acids Res 35 (Database).
D760–D765. 2007. View Article : Google Scholar
|
|
7
|
Subramanian A, Kuehn H, Gould J, Tamayo P
and Mesirov JP: GSEA-P: A desktop application for Gene Set
Enrichment Analysis. Bioinformatics. 23:3251–3253. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Greenbaum D, Jansen R and Gerstein M:
Analysis of mRNA expression and protein abundance data: An approach
for the comparison of the enrichment of features in the cellular
population of proteins and transcripts. Bioinformatics. 18:585–596.
2002. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Manchia M, Piras IS, Huentelman MJ, Pinna
F, Zai CC, Kennedy JL and Carpiniello B: Pattern of gene expression
in different stages of schizophrenia: Down-regulation of NPTX2 gene
revealed by a meta-analysis of microarray datasets. Eur
Neuropsychopharmacol. 27:1054–1063. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Lai Y, Zhang F, Nayak TK, Modarres R, Lee
NH and McCaffrey TA: Concordant integrative gene set enrichment
analysis of multiple large-scale two-sample expression data sets.
BMC Genomics. 15 (Suppl 1):S62014. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Knopp-Sihota JA, Newburn-Cook CV, Homik J,
Cummings GG and Voaklander D: Calcitonin for treating acute and
chronic pain of recent and remote osteoporotic vertebral
compression fractures: A systematic review and meta-analysis.
Osteoporos Int. 23:17–38. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Gentleman RC, Carey VJ, Bates DM, Bolstad
B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, et al:
Bioconductor: Open software development for computational biology
and bioinformatics. Genome Biol. 5:R802004. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Ogata H, Goto S, Sato K, Fujibuchi W, Bono
H and Kanehisa M: KEGG: Kyoto Encyclopedia of Genes and Genomes.
Nucleic Acids Res. 27:29–34. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Pinelli NR, Cha R, Brown MB and Jaber LA:
Addition of thiazolidinedione or exenatide to oral agents in type 2
diabetes: A meta-analysis. Ann Pharmacother. 42:1541–1551. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Tian H: Detection of differentially
expressed genes involved in osteoarthritis pathology. J Orthop Surg
Res. 13:492018. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Shinmura K, Kato H, Kawanishi Y, Igarashi
H, Inoue Y, Yoshimura K, Nakamura S, Fujita H, Funai K, Tanahashi
M, et al: WDR62 overexpression is associated with a poor prognosis
in patients with lung adenocarcinoma. Mol Carcinog. 56:1984–1991.
2017. View
Article : Google Scholar : PubMed/NCBI
|
|
17
|
Fahrmann JF, Grapov DD, Wanichthanarak K,
DeFelice BC, Salemi MR, Rom WN, Gandara DR, Phinney BS, Fiehn O,
Pass H, et al: Integrated Metabolomics and Proteomics Highlight
Altered Nicotinamide- and Polyamine Pathways in Lung
Adenocarcinoma. Carcinogenesis bgw205. 2017. View Article : Google Scholar
|
|
18
|
Gu MM, Gao D, Yao PA, Yu L, Yang XD, Xing
CG, Zhou J, Shang ZF and Li M: p53-inducible gene 3 promotes cell
migration and invasion by activating the FAK/Src pathway in lung
adenocarcinoma. Cancer Sci. 109:3783–3793. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Wang Z, Wei Y, Zhang R, Su L, Gogarten SM,
Liu G, Brennan P, Field JK, McKay JD, Lissowska J, et al:
Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1
Associated with Lung Adenocarcinoma. EBioMedicine. 32:93–101. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Collins FS and Mansoura MK; The Human
Genome Project, : The Human Genome Project. Revealing the shared
inheritance of all humankind. Cancer. 91 (Suppl):221–225. 2001.
View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Tang Y, He W, Wei Y, Qu Z, Zeng J and Qin
C: Screening key genes and pathways in glioma based on gene set
enrichment analysis and meta-analysis. J Mol Neurosci. 50:324–332.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Unger G: Antibody formation after cat gut
application. Zentralbl Chir. 95:290–292. 1970.(In German).
PubMed/NCBI
|
|
23
|
Deng H, Liu C, Zhang G, Wang X and Liu Y:
Lung adenocarcinoma with concurrent ALK and ROS1 rearrangement: A
case report and review of the literatures. Pathol Res Pract.
214:2103–2105. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Tane S, Sakai Y, Hokka D, Okuma H, Ogawa
H, Tanaka Y, Uchino K, Nishio W, Yoshimura M and Maniwa Y:
Significant role of Psf3 expression in non-small-cell lung cancer.
Cancer Sci. 106:1625–1634. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Jiang W, Wang H, Cui Y, Lei Y, Wang Y, Xu
D, Jiang N, Chen Y, Sun Y, Zhang Y, et al: Polymer nanofiber-based
microchips for EGFR mutation analysis of circulating tumor cells in
lung adenocarcinoma. Int J Nanomedicine. 13:1633–1642. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Xu L, Lan H, Su Y, Li J and Wan J:
Clinicopathological significance and potential drug target of RUNX3
in non-small cell lung cancer: A meta-analysis. Drug Des Devel
Ther. 9:2855–2865. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
He W, Qi B, Zhou Q, Lu C, Huang Q, Xian L
and Chen M: Key genes and pathways in thyroid cancer based on gene
set enrichment analysis. Oncol Rep. 30:1391–1397. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Ishimi Y and Irie D: G364R mutation of
MCM4 detected in human skin cancer cells affects DNA helicase
activity of MCM4/6/7 complex. J Biochem. 157:561–569. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Elgaaen BV, Haug KB, Wang J, Olstad OK,
Fortunati D, Onsrud M, Staff AC, Sauer T and Gautvik KM: POLD2 and
KSP37 (FGFBP2) correlate strongly with histology, stage and outcome
in ovarian carcinomas. PLoS One. 5:e138372010. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Ding Y, Hubert CG, Herman J, Corrin P,
Toledo CM, Skutt-Kakaria K, Vazquez J, Basom R, Zhang B, Risler JK,
et al: Cancer-Specific requirement for BUB1B/BUBR1 in human brain
tumor isolates and genetically transformed cells. Cancer Discov.
3:198–211. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Szambowska A, Tessmer I, Kursula P,
Usskilat C, Prus P, Pospiech H and Grosse F: DNA binding properties
of human Cdc45 suggest a function as molecular wedge for DNA
unwinding. Nucleic Acids Res. 42:2308–2319. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Liu C, Zhang YH, Huang T and Cai Y:
Identification of transcription factors that may reprogram lung
adenocarcinoma. Artif Intell Med. 83:52–57. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Zhang W, Gong W, Ai H, Tang J and Shen C:
Gene expression analysis of lung adenocarcinoma and matched
adjacent non-tumor lung tissue. Tumori. 100:338–345.
2014.PubMed/NCBI
|
|
34
|
Sanchez-Palencia A, Gomez-Morales M,
Gomez-Capilla JA, Pedraza V, Boyero L, Rosell R and Fárez-Vidal ME:
Gene expression profiling reveals novel biomarkers in nonsmall cell
lung cancer. Int J Cancer. 129:355–364. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Lu TP, Lai LC, Tsai MH, Chen PC, Hsu CP,
Lee JM, Hsiao CK and Chuang EY: Integrated analyses of copy number
variations and gene expression in lung adenocarcinoma. PLoS One.
6:e248292011. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Landi MT, Dracheva T, Rotunno M, Figueroa
JD, Liu H, Dasgupta A, Mann FE, Fukuoka J, Hames M, Bergen AW, et
al: Gene expression signature of cigarette smoking and its role in
lung adenocarcinoma development and survival. PLoS One.
3:e16512008. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Su LJ, Chang CW, Wu YC, Chen KC, Lin CJ,
Liang SC, Lin CH, Whang-Peng J, Hsu SL, Chen CH, et al: Selection
of DDX5 as a novel internal control for Q-RT-PCR from microarray
data using a block bootstrap re-sampling scheme. BMC Genomics.
8:1402007. View Article : Google Scholar : PubMed/NCBI
|
