Dolled-Filhart M - Search Results

1

Quantitative in situ analysis of beta-catenin expression in breast cancer shows decreased expression is associated with poor outcome.

Dolled-Filhart M, McCabe A, Giltnane J, Cregger M, Camp RL, Rimm DL. Dolled-Filhart M, et al. Cancer Res. 2006 May 15;66(10):5487-94. doi: 10.1158/0008-5472.CAN-06-0100. Cancer Res. 2006. PMID: 16707478

2

Gene expression array analysis to determine tissue of origin of carcinoma of unknown primary: cutting edge or already obsolete?

Dolled-Filhart MP, Rimm DL. Dolled-Filhart MP, et al. Cancer Cytopathol. 2013 Mar;121(3):129-35. doi: 10.1002/cncy.21228. Epub 2012 Aug 23. Cancer Cytopathol. 2013. PMID: 22927160 Free article. No abstract available.

3

Tissue microarray analysis of signal transducers and activators of transcription 3 (Stat3) and phospho-Stat3 (Tyr705) in node-negative breast cancer shows nuclear localization is associated with a better prognosis.

Dolled-Filhart M, Camp RL, Kowalski DP, Smith BL, Rimm DL. Dolled-Filhart M, et al. Clin Cancer Res. 2003 Feb;9(2):594-600. Clin Cancer Res. 2003. PMID: 12576423

4

Tissue microarray analysis of hepatocyte growth factor/Met pathway components reveals a role for Met, matriptase, and hepatocyte growth factor activator inhibitor 1 in the progression of node-negative breast cancer.

Kang JY, Dolled-Filhart M, Ocal IT, Singh B, Lin CY, Dickson RB, Rimm DL, Camp RL. Kang JY, et al. Cancer Res. 2003 Mar 1;63(5):1101-5. Cancer Res. 2003. PMID: 12615728

5

Quantitative analysis of breast cancer tissue microarrays shows that both high and normal levels of HER2 expression are associated with poor outcome.

Camp RL, Dolled-Filhart M, King BL, Rimm DL. Camp RL, et al. Cancer Res. 2003 Apr 1;63(7):1445-8. Cancer Res. 2003. PMID: 12670887

6

Tissue microarray-based studies of patients with lymph node negative breast carcinoma show that met expression is associated with worse outcome but is not correlated with epidermal growth factor family receptors.

Tolgay Ocal I, Dolled-Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tolgay Ocal I, et al. Cancer. 2003 Apr 15;97(8):1841-8. doi: 10.1002/cncr.11335. Cancer. 2003. PMID: 12673709 Free article.

7

Macrophage colony-stimulating factor-1 receptor expression is associated with poor outcome in breast cancer by large cohort tissue microarray analysis.

Kluger HM, Dolled-Filhart M, Rodov S, Kacinski BM, Camp RL, Rimm DL. Kluger HM, et al. Clin Cancer Res. 2004 Jan 1;10(1 Pt 1):173-7. doi: 10.1158/1078-0432.ccr-0699-3. Clin Cancer Res. 2004. PMID: 14734466

8

beta-Catenin and p53 analyses of a breast carcinoma tissue microarray.

Chung GG, Zerkowski MP, Ocal IT, Dolled-Filhart M, Kang JY, Psyrri A, Camp RL, Rimm DL. Chung GG, et al. Cancer. 2004 May 15;100(10):2084-92. doi: 10.1002/cncr.20232. Cancer. 2004. PMID: 15139049 Free article.

9

X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization.

Camp RL, Dolled-Filhart M, Rimm DL. Camp RL, et al. Clin Cancer Res. 2004 Nov 1;10(21):7252-9. doi: 10.1158/1078-0432.CCR-04-0713. Clin Cancer Res. 2004. PMID: 15534099

10

Automated quantitative analysis of tissue microarrays reveals an association between high Bcl-2 expression and improved outcome in melanoma.

Divito KA, Berger AJ, Camp RL, Dolled-Filhart M, Rimm DL, Kluger HM. Divito KA, et al. Cancer Res. 2004 Dec 1;64(23):8773-7. doi: 10.1158/0008-5472.CAN-04-1387. Cancer Res. 2004. PMID: 15574790

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