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Items: 1 to 20 of 459

1.

Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.

Sotiriou C, Wirapati P, Loi S, Harris A, Fox S, Smeds J, Nordgren H, Farmer P, Praz V, Haibe-Kains B, Desmedt C, Larsimont D, Cardoso F, Peterse H, Nuyten D, Buyse M, Van de Vijver MJ, Bergh J, Piccart M, Delorenzi M.

J Natl Cancer Inst. 2006 Feb 15;98(4):262-72.

PMID:
16478745
2.

Predicting features of breast cancer with gene expression patterns.

Lu X, Lu X, Wang ZC, Iglehart JD, Zhang X, Richardson AL.

Breast Cancer Res Treat. 2008 Mar;108(2):191-201. doi: 10.1007/s10549-007-9596-6. Epub 2007 May 22.

PMID:
18297396
3.

Challenges in projecting clustering results across gene expression-profiling datasets.

Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA.

J Natl Cancer Inst. 2007 Nov 21;99(22):1715-23. Epub 2007 Nov 13.

PMID:
18000217
4.

Gene expression profiling of primary cutaneous melanoma and clinical outcome.

Winnepenninckx V, Lazar V, Michiels S, Dessen P, Stas M, Alonso SR, Avril MF, Ortiz Romero PL, Robert T, Balacescu O, Eggermont AM, Lenoir G, Sarasin A, Tursz T, van den Oord JJ, Spatz A; Melanoma Group of the European Organization for Research and Treatment of Cancer..

J Natl Cancer Inst. 2006 Apr 5;98(7):472-82.

PMID:
16595783
5.

Estrogen-regulated genes predict survival in hormone receptor-positive breast cancers.

Oh DS, Troester MA, Usary J, Hu Z, He X, Fan C, Wu J, Carey LA, Perou CM.

J Clin Oncol. 2006 Apr 10;24(11):1656-64. Epub 2006 Feb 27.

PMID:
16505416
6.

Consensus genes of the literature to predict breast cancer recurrence.

Lauss M, Kriegner A, Vierlinger K, Visne I, Yildiz A, Dilaveroglu E, Noehammer C.

Breast Cancer Res Treat. 2008 Jul;110(2):235-44. Epub 2007 Sep 26.

PMID:
17899371
7.

Population-based molecular prognosis of breast cancer by transcriptional profiling.

Ma Y, Qian Y, Wei L, Abraham J, Shi X, Castranova V, Harner EJ, Flynn DC, Guo L.

Clin Cancer Res. 2007 Apr 1;13(7):2014-22.

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.

The humoral immune system has a key prognostic impact in node-negative breast cancer.

Schmidt M, Böhm D, von Törne C, Steiner E, Puhl A, Pilch H, Lehr HA, Hengstler JG, Kölbl H, Gehrmann M.

Cancer Res. 2008 Jul 1;68(13):5405-13. doi: 10.1158/0008-5472.CAN-07-5206.

10.

Understanding the molecular basis of histologic grade.

Ignatiadis M, Sotiriou C.

Pathobiology. 2008;75(2):104-11. doi: 10.1159/000123848. Epub 2008 Jun 10. Review.

PMID:
18544965
11.

Outcome prediction for estrogen receptor-positive breast cancer based on postneoadjuvant endocrine therapy tumor characteristics.

Ellis MJ, Tao Y, Luo J, A'Hern R, Evans DB, Bhatnagar AS, Chaudri Ross HA, von Kameke A, Miller WR, Smith I, Eiermann W, Dowsett M.

J Natl Cancer Inst. 2008 Oct 1;100(19):1380-8. doi: 10.1093/jnci/djn309. Epub 2008 Sep 23.

12.

Prediction of breast cancer prognosis by gene expression profile of TP53 status.

Takahashi S, Moriya T, Ishida T, Shibata H, Sasano H, Ohuchi N, Ishioka C.

Cancer Sci. 2008 Feb;99(2):324-32. doi: 10.1111/j.1349-7006.2007.00691.x.

13.

Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.

Loi S, Haibe-Kains B, Desmedt C, Lallemand F, Tutt AM, Gillet C, Ellis P, Harris A, Bergh J, Foekens JA, Klijn JG, Larsimont D, Buyse M, Bontempi G, Delorenzi M, Piccart MJ, Sotiriou C.

J Clin Oncol. 2007 Apr 1;25(10):1239-46. Erratum in: J Clin Oncol. 2007 Aug 20;25(24):3790.

PMID:
17401012
14.
15.

[Prognostic molecular classification of breast cancers based on gene expression profiling].

Feng YM, Li XQ, Sun BC, Gao XC, Gu L, Niu Y, Hao XS.

Zhonghua Zhong Liu Za Zhi. 2006 Dec;28(12):900-6. Chinese.

PMID:
17533740
16.

An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients.

Györffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q, Szallasi Z.

Breast Cancer Res Treat. 2010 Oct;123(3):725-31. doi: 10.1007/s10549-009-0674-9. Epub 2009 Dec 18.

17.

Laser microdissection and microarray analysis of breast tumors reveal ER-alpha related genes and pathways.

Yang F, Foekens JA, Yu J, Sieuwerts AM, Timmermans M, Klijn JG, Atkins D, Wang Y, Jiang Y.

Oncogene. 2006 Mar 2;25(9):1413-9.

PMID:
16261164
18.
19.

A candidate molecular signature associated with tamoxifen failure in primary breast cancer.

Vendrell JA, Robertson KE, Ravel P, Bray SE, Bajard A, Purdie CA, Nguyen C, Hadad SM, Bieche I, Chabaud S, Bachelot T, Thompson AM, Cohen PA.

Breast Cancer Res. 2008;10(5):R88. doi: 10.1186/bcr2158. Epub 2008 Oct 17.

20.

Expression profiling to predict postoperative prognosis for estrogen receptor-negative breast cancers by analysis of 25,344 genes on a cDNA microarray.

Nagahata T, Onda M, Emi M, Nagai H, Tsumagari K, Fujimoto T, Hirano A, Sato T, Nishikawa K, Akiyama F, Sakamoto G, Kasumi F, Miki Y, Tanaka T, Tsunoda T.

Cancer Sci. 2004 Mar;95(3):218-25.

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