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Items: 1 to 20 of 81

1.

Loss of annexin A1 expression in human breast cancer detected by multiple high-throughput analyses.

Shen D, Chang HR, Chen Z, He J, Lonsberry V, Elshimali Y, Chia D, Seligson D, Goodglick L, Nelson SF, Gornbein JA.

Biochem Biophys Res Commun. 2005 Jan 7;326(1):218-27.

PMID:
15567174
2.

In silico identification of breast cancer genes by combined multiple high throughput analyses.

Shen D, He J, Chang HR.

Int J Mol Med. 2005 Feb;15(2):205-12.

PMID:
15647832
3.

Novel breast cancer biomarkers identified by integrative proteomic and gene expression mapping.

Ou K, Yu K, Kesuma D, Hooi M, Huang N, Chen W, Lee SY, Goh XP, Tan LK, Liu J, Soon SY, Bin Abdul Rashid S, Putti TC, Jikuya H, Ichikawa T, Nishimura O, Salto-Tellez M, Tan P.

J Proteome Res. 2008 Apr;7(4):1518-28. doi: 10.1021/pr700820g. Epub 2008 Mar 5.

PMID:
18318472
4.

Decreased expression of annexin A1 is correlated with breast cancer development and progression as determined by a tissue microarray analysis.

Shen D, Nooraie F, Elshimali Y, Lonsberry V, He J, Bose S, Chia D, Seligson D, Chang HR, Goodglick L.

Hum Pathol. 2006 Dec;37(12):1583-91. Epub 2006 Aug 10.

PMID:
16949910
5.

[Identification of gastric cancer-related genes by multiple high throughput analysis and data mining].

Meng LX, Li Q, Xue YJ, Guo RD, Zhang YQ, Song XY.

Zhonghua Wei Chang Wai Ke Za Zhi. 2007 Mar;10(2):169-72. Chinese.

PMID:
17380461
6.

MMP13 is potentially a new tumor marker for breast cancer diagnosis.

Chang HJ, Yang MJ, Yang YH, Hou MF, Hsueh EJ, Lin SR.

Oncol Rep. 2009 Nov;22(5):1119-27.

PMID:
19787229
7.

Identification of cell-of-origin breast tumor subtypes in inflammatory breast cancer by gene expression profiling.

Van Laere SJ, Van den Eynden GG, Van der Auwera I, Vandenberghe M, van Dam P, Van Marck EA, van Golen KL, Vermeulen PB, Dirix LY.

Breast Cancer Res Treat. 2006 Feb;95(3):243-55. Epub 2005 Oct 27.

8.

Increased expression of urokinase-type plasminogen activator mRNA determines adverse prognosis in ErbB2-positive primary breast cancer.

Urban P, Vuaroqueaux V, Labuhn M, Delorenzi M, Wirapati P, Wight E, Senn HJ, Benz C, Eppenberger U, Eppenberger-Castori S.

J Clin Oncol. 2006 Sep 10;24(26):4245-53.

PMID:
16963728
9.
10.

Profile of differentially expressed genes after transfer of chromosome 17 into the breast cancer cell line CAL51.

Klebig C, Seitz S, Korsching E, Kristiansen G, Gustavus D, Scherneck S, Petersen I.

Genes Chromosomes Cancer. 2005 Nov;44(3):233-46.

PMID:
16049915
11.

Cross platform microarray analysis for robust identification of differentially expressed genes.

Bosotti R, Locatelli G, Healy S, Scacheri E, Sartori L, Mercurio C, Calogero R, Isacchi A.

BMC Bioinformatics. 2007 Mar 8;8 Suppl 1:S5.

12.

Overexpression of caveolin-1 and -2 in cell lines and in human samples of inflammatory breast cancer.

Van den Eynden GG, Van Laere SJ, Van der Auwera I, Merajver SD, Van Marck EA, van Dam P, Vermeulen PB, Dirix LY, van Golen KL.

Breast Cancer Res Treat. 2006 Feb;95(3):219-28. Epub 2005 Oct 22.

13.

A resampling-based meta-analysis for detection of differential gene expression in breast cancer.

Gur-Dedeoglu B, Konu O, Kir S, Ozturk AR, Bozkurt B, Ergul G, Yulug IG.

BMC Cancer. 2008 Dec 30;8:396. doi: 10.1186/1471-2407-8-396.

14.

A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data.

Yosef N, Yakhini Z, Tsalenko A, Kristensen V, Børresen-Dale AL, Ruppin E, Sharan R.

Bioinformatics. 2007 Jan 15;23(2):e91-8.

PMID:
17237111
15.

Combined cDNA array comparative genomic hybridization and serial analysis of gene expression analysis of breast tumor progression.

Yao J, Weremowicz S, Feng B, Gentleman RC, Marks JR, Gelman R, Brennan C, Polyak K.

Cancer Res. 2006 Apr 15;66(8):4065-78.

16.

Housekeeping genes in cancer: normalization of array data.

Khimani AH, Mhashilkar AM, Mikulskis A, O'Malley M, Liao J, Golenko EE, Mayer P, Chada S, Killian JB, Lott ST.

Biotechniques. 2005 May;38(5):739-45.

17.

Gene expression profiling of human HBV- and/or HCV-associated hepatocellular carcinoma cells using expressed sequence tags.

Yoon SY, Kim JM, Oh JH, Jeon YJ, Lee DS, Kim JH, Choi JY, Ahn BM, Kim S, Yoo HS, Kim YS, Kim NS.

Int J Oncol. 2006 Aug;29(2):315-27.

PMID:
16820872
18.

Large scale data mining approach for gene-specific standardization of microarray gene expression data.

Yoon S, Yang Y, Choi J, Seong J.

Bioinformatics. 2006 Dec 1;22(23):2898-904. Epub 2006 Oct 10.

PMID:
17032674
19.

Using a xenograft model of human breast cancer metastasis to find genes associated with clinically aggressive disease.

Kluger HM, Chelouche Lev D, Kluger Y, McCarthy MM, Kiriakova G, Camp RL, Rimm DL, Price JE.

Cancer Res. 2005 Jul 1;65(13):5578-87.

20.

Use of high-throughput protein array for profiling of differentially expressed proteins in normal and malignant breast tissue.

Hudelist G, Pacher-Zavisin M, Singer CF, Holper T, Kubista E, Schreiber M, Manavi M, Bilban M, Czerwenka K.

Breast Cancer Res Treat. 2004 Aug;86(3):281-91.

PMID:
15567944

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