Identification of upregulated genes in oral squamous cell carcinomas

Head and Neck

Volumn 35, Issue 10, 2013, Pages 1475-1481

  Lessa, Roberta C ^a,b   Campos, Antonio Hugo J F M ^a   De Freitas, Carlos Elias ^c   Da Silva, Felipe Rodrigues ^d   Kowalski, Luiz Paulo ^a   Carvalho, André Lopes ^a,e   Vettore, André Luiz ^b,f  

^a A C CAMARGO CANCER CENTER   (Brazil)

^b LUDWIG INSTITUTE FOR CANCER RESEARCH   (Brazil)

^c ESCOLA BAHIANA DE MEDICINA E SAÚDE PÚBLICA   (Brazil)

^d EMBRAPA INFORMÁTICA AGROPECUÁRIA   (Brazil)

^e Barretos Cancer Hospital   (Brazil)

^f FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

head and neck squamous cell carcinoma; quantitative RT PCR; upregulation

Indexed keywords

COMPLEMENTARY DNA; RNA;

AGED; AHSA1 GENE; ALDOA GENE; ARTICLE; CANCER GENETICS; CARCINOGENESIS; CLINICAL ARTICLE; DATA MINING; DNA SYNTHESIS; DOWN REGULATION; FEMALE; GENE EXPRESSION; HUMAN; MALE; MOUTH SQUAMOUS CELL CARCINOMA; POLQ GENE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; RNA EXTRACTION; UPREGULATION;

HEAD AND NECK SQUAMOUS CELL CARCINOMA; QUANTITATIVE RT-PCR; UPREGULATION;

ADULT; AGED; BIOPSY, NEEDLE; BRAZIL; CARCINOMA, SQUAMOUS CELL; COHORT STUDIES; DATABASES, FACTUAL; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HEAD AND NECK NEOPLASMS; HUMANS; IMMUNOHISTOCHEMISTRY; MALE; MIDDLE AGED; MOUTH NEOPLASMS; NEOPLASM INVASIVENESS; NEOPLASM STAGING; PREDICTIVE VALUE OF TESTS; PROGNOSIS; REFERENCE VALUES; RETROSPECTIVE STUDIES; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RNA, NEOPLASM; UP-REGULATION;

EID: 84884844883     PISSN: 10433074     EISSN: 10970347     Source Type: Journal    
DOI: 10.1002/hed.23169     Document Type: Article

References (33)

1. Carvalho AL, Nishimoto IN, Califano JA, Kowalski LP,. Trends in incidence and prognosis for head and neck cancer in the United States: a site-specific analysis of the SEER database. Int J Cancer 2005; 114: 806-816.
2. Modjtahedi H,. Molecular therapy of head and neck cancer. Cancer Metastasis Rev 2005; 24: 129-146.
3. Brentani H, Caballero OL, Camargo AA, et al. The generation and utilization of a cancer-oriented representation of the human trascriptome by using expressed sequence tags. Proc Natl Acad Sci U S A 2003; 100: 13418-13423.
4. Camargo AA, Samaia HPB, Dias Neto E, et al. The contribution of 700,000 ORF sequence tags to the definitions of the human trascriptome. Proc Natl Acad Sci U S A 2001; 98: 12103-12108.
5. National Center for Biotechnology Information. May be accessed at http://www.ncbi.nlm.nih.gov/
6. Pruitt KD, Tatusova T, Maglott DR,. NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic Acids Res 2005; 33 (Database issue): D501-D504.
7. 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 2002; 3: RESEARCH0034.
8. Andersen CL, Jensen JL, 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 2004; 64: 5245-5250.
9. Livak KJ, Schmittgen TD,. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 2001; 25: 402-408.
10. Huang Q, Yu GP, McCormick SA, et al. Genetic differences detected by comparative genomic hybridization in head and neck squamous cell carcinomas from different tumor sites: construction of oncogenetic trees for tumor progression. Genes Chromosomes Cancer 2002; 34: 224-233.
11. Kane SV, Gupta M, Kakade AC, D'Cruz A,. Depth of invasion is the most significant histological predictor of subclinical cervical lymph node metastasis in early squamous carcinomas of the oral cavity. Eur J Surg Oncol 2006; 32: 795-803.
12. Lee SS, Tsai CH, Yang SF, et al. Hypoxia inducible factor-1α expression in areca quid chewing-associated oral squamous cell carcinomas. Oral Dis 2010; 16: 696-701.
13. Monteiro LS, Diniz-Freitas M, Garcia-Caballero T, Warnakulasuriya S, Forteza J, Fraga M,. Combined cytoplasmic and membranous EGFR and p53 overexpression is a poor prognostic marker in early stage oral squamous cell carcinoma. J Oral Pathol Med 2012;41:559 - 567.
14. Campo-Trapero J, Cano-Sánchez J, Palacios-Sánchez B, et al. Update on molecular pathology in oral cancer and precancer. Anticancer Res 2008; 28: 1197-1205.
15. Tanaka T, Ishigamori R,. Understanding carcinogenesis for fighting oral cancer. J Oncol 2011;2011:Art. 603740.
16. Rodini CO, Xavier FC, Paiva KB, et al. Homeobox gene expression profile indicates HOXA5 as a candidate prognostic marker in oral squamous cell carcinoma. Int J Oncol 2012; 40: 1180-1188.
17. Lu J, Lal A, Merriman B, Nelson S, Riggins G,. A comparison of gene expression profiles produced by SAGE, long SAGE, and oligonucleotide chips. Genomics 2004; 84: 631-636.
18. Reis PP, Waldron L, Perez-Ordonez B, et al. A gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence. BMC Cancer 2011; 11: 437 (abstract).
19. Haverty PM, Hsiao LL, Gullans SR, Hansen U, Weng Z,. Limited agreement among three global gene expression methods highlights the requirement for non-global validation. Bioinformatics 2004; 20: 3431-3441.
20. Leerkes MR, Caballero OL, Mackay A, et al. In silico comparison of the transcriptome derived from purified normal breast cells and breast tumor cell lines reveals candidate upregulated genes in breast tumor cells. Genomics 2002; 79: 257-265.
21. Reis EM, Ojopi EPB, Alberto FL, et al. Large scale transcriptome analysis reveals new genetic marker candidates of head, neck, and thyroid cancer. Cancer Res 2005; 65: 1693-1699.
22. Mello BP, Abrantes EF, Torres CH, et al. No-match ORESTES explored as tumor markers. Nucleic Acids Res 2009; 37: 2607-2617.
23. Rho JH, Roehrl MH, Wang JY,. Glycoproteomic analysis of human lung adenocarcinomas using glycoarrays and tandem mass spectrometry: differential expression and glycosylation patterns of vimentin and fetuin A isoforms. Protein J 2009; 28: 148-160.
24. Hamaguchi T, Iizuka N, Tsunedomi R, et al. Glycolysis module activated by hypoxia-inducible factor 1alpha is related to the aggressive phenotype of hepatocellular carcinoma. Int J Oncol 2008; 33: 725-731.
25. Castaldo G, Calcagno G, Sibillo R, et al. Quantitative analysis of aldolase A mRNA in liver discriminates between hepatocellular carcinoma and cirrhosis. Clin Chem 2000; 46: 901-906.
26. Zou L, Wu Y, Pei L, et al. Identification of leukemia-associated antigens in chronic myeloid leukemia by proteomic analysis. Leuk Res 2005; 29: 1387-1391.
27. Mishima K, Inoue K, Hayashi Y,. Overexpression of extracellular-signal regulated kinases on oral squamous cell carcinoma. Oral Oncol 2002; 38: 468-474.
28. Lee SK, Jang HJ, Lee HJ, et al. p38 and ERK MAP kinase mediates iron chelator-induced apoptosis and -suppressed differentiation of immortalized and malignant human oral keratinocytes. Life Sci 2006; 79: 1419-1427.
29. Zhang QX, Feng R, Zhang W, et al. Role of stress-activated MAP kinase p38 in cisplatin- and DTT-induced apoptosis of the esophageal carcinoma cell line Eca109. World J Gastroenterol 2005; 11: 4451-4456.
30. Kawamura K, Bahar R, Seimiya M, et al. DNA polymerase theta is preferentially expressed in lymphoid tissues and upregulated in human cancers. Int J Cancer 2004; 109: 9-16.
31. Higgins GS, Harris AL, Prevo R, et al. Overexpression of POLQ confers a poor prognosis in early breast cancer patients. Oncotarget 2010; 1: 175-184.
32. Albertella MR, Green CM, Lehmann AR, O'Connor MJ,. A role for polymerase eta in the cellular tolerance to cisplatin-induced damage. Cancer Res 2005; 65: 9799-9806.
33. Chen YW, Cleaver JE, Hanaoka F, Chang CF, Chou KM,. A novel role of DNA polymerase eta in modulating cellular sensitivity to chemotherapeutic agents. Mol Cancer Res 2006; 4: 257-265.