|
1.
|
Shibuya K, Mathers CD, Boschi-Pinto C,
Lopez AD and Murray CJ: Global and regional estimates of cancer
mortality and incidence by site. II. Results for the global burden
of disease 2000. BMC Cancer. 2:372002. View Article : Google Scholar
|
|
2.
|
Geisler SA and Olshan AF: GSTM1, GSTT1 and
the risk of squamous cell carcinoma of the head and neck: a
mini-HuGE review. Am J Epidemiol. 154:95–105. 2001. View Article : Google Scholar : PubMed/NCBI
|
|
3.
|
Rautava J, Luukkaa M, Heikinheimo K, Alin
J, Grenman R and Happonen RP: Squamous cell carcinomas arising from
different types of oral epithelia differ in their tumor and patient
characteristics and survival. Oral Oncol. 43:911–919. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
4.
|
Bettendorf O, Piffko J and Bankfalvi A:
Prognostic and predictive factors in oral squamous cell cancer:
important tools for planning individual therapy? Oral Oncol.
40:110–119. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
5.
|
Culliney B, Birhan A, Young AV, Choi W,
Shulimovich M and Blum RH: Management of locally advanced or
unresectable head and neck cancer. Oncology. 22:1152–1161.
2008.PubMed/NCBI
|
|
6.
|
Lothaire P, de Azambuja E, Dequanter D, et
al: Molecular markers of head and neck squamous cell carcinoma:
promising signs in need of prospective evaluation. Head Neck.
28:256–269. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
7.
|
Shirai K and O’Brien PE: Molecular targets
in squamous cell carcinoma of the head and neck. Curr Treat Options
Oncol. 8:239–251. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
8.
|
Ginzinger DG: Gene quantification using
real-time quantitative PCR: an emerging technology hits the
mainstream. Exp Hematol. 30:503–512. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
9.
|
Huggett J, Dheda K, Bustin S and Zumla A:
Real-time RT-PCR normalisation; strategies and considerations.
Genes Immun. 6:279–284. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
10.
|
Vandesompele J, Kubista M and Pfaffl M:
Reference gene validation software for improved normalization.
Real-Time PCR: Current Technology and Applications. 1st edition.
Logan J, Edwards K and Saunders N: Caister. Academic Press; London:
pp. 47–64. 2009
|
|
11.
|
Ruan W and Lai M: Actin, a reliable marker
of internal control? Clin Chim Acta. 385:1–5. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
12.
|
Masuda N, Ohnishi T, Kawamoto S, Monden M
and Okubo K: Analysis of chemical modification of RNA from
formalin-fixed samples and optimization of molecular biology
applications for such samples. Nucleic Acids Res. 27:4436–4443.
1999. View Article : Google Scholar : PubMed/NCBI
|
|
13.
|
Von Ahlfen S, Missel A, Bendrat K and
Schlumpberger M: Determinants of RNA quality from FFPE samples.
PLoS ONE. 2:e12612007.PubMed/NCBI
|
|
14.
|
Clark-Langone KM, Wu JY, Sangli C, et al:
Biomarker discovery for colon cancer using a 761 gene RT-PCR assay.
BMC Genomics. 8:2792007. View Article : Google Scholar : PubMed/NCBI
|
|
15.
|
Penland SK, Keku TO, Torrice C, et al: RNA
expression analysis of formalin-fixed paraffin-embedded tumors. Lab
Invest. 87:383–391. 2007.PubMed/NCBI
|
|
16.
|
Rozen S and Skaletsky H: Primer3 on the
WWW for general users and for biologist programmers. Methods Mol
Biol. 132:365–386. 2000.PubMed/NCBI
|
|
17.
|
Larionov A, Krause A and Miller W: A
standard curve based method for relative real time PCR data
processing. BMC Bioinformatics. 6:622005. View Article : Google Scholar : PubMed/NCBI
|
|
18.
|
Andersen CL, Jensen JL and Orntoft TF:
Normalization of real-time quantitative reverse transcription-PCR
data: a model-based variance estimation approach to identify genes
suited for normalization, applied to bladder and colon cancer data
sets. Cancer Res. 64:5245–5250. 2004. View Article : Google Scholar
|
|
19.
|
Vandesompele J, De Preter K, Pattyn F, et
al: Accurate normalization of real-time quantitative RT-PCR data by
geometric averaging of multiple internal control genes. Genome
Biol. 3:RESEARCH0034,. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
20.
|
De Jonge HJ, Fehrmann RS, de Bont ES, et
al: Evidence based selection of housekeeping genes. PLoS ONE.
2:e8982007.PubMed/NCBI
|
|
21.
|
Drury S, Anderson H and Dowsett M:
Selection of reference genes for normalization of qRT-PCR data
derived from FFPE breast tumors. Diagn Mol Pathol. 18:103–107.
2009. View Article : Google Scholar : PubMed/NCBI
|
|
22.
|
Perez-Novo CA, Claeys C, Speleman F, van
Cauwenberge P, Bachert C and Vandesompele J: Impact of RNA quality
on reference gene expression stability. Biotechniques.
39:5254562005. View Article : Google Scholar : PubMed/NCBI
|
|
23.
|
Hibbs K, Skubitz KM, Pambuccian SE, et al:
Differential gene expression in ovarian carcinoma: identification
of potential biomarkers. Am J Pathol. 165:397–414. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
24.
|
Yao R, Lopez-Beltran A, Maclennan GT,
Montironi R, Eble JN and Cheng L: Expression of S100 protein family
members in the pathogenesis of bladder tumors. Anticancer Res.
27:3051–3058. 2007.PubMed/NCBI
|
|
25.
|
Campos MS, Rodini CO, Pinto-Junior DS and
Nunes FD: GAPD and tubulin are suitable internal controls for qPCR
analysis of oral squamous cell carcinoma cell lines. Oral Oncol.
45:121–126. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
26.
|
Rentoft M, Laurell G, Coates P, Sjöström B
and Nylander K: Gene expression profiling of archival tongue
squamous cell carcinomas provides sub-classification based on DNA
repair genes. Int J Oncol. 35:1321–1330. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
27.
|
Cicinnati VR, Shen Q, Sotiropoulos GC,
Radtke A, Gerken G and Beckebaum S: Validation of putative
reference genes for gene expression studies in human hepatocellular
carcinoma using real-time quantitative RT-PCR. BMC Cancer.
8:3502008. View Article : Google Scholar : PubMed/NCBI
|
|
28.
|
Lallemant B, Evrard A, Combescure C, et
al: Reference gene selection for head and neck squamous cell
carcinoma gene expression studies. BMC Mol Biol. 10:782009.
View Article : Google Scholar : PubMed/NCBI
|
|
29.
|
Lyng MB, Laenkholm AV, Pallisgaard N and
Ditzel HJ: Identification of genes for normalization of real-time
RT-PCR data in breast carcinomas. BMC Cancer. 8:202008. View Article : Google Scholar : PubMed/NCBI
|
