Szász AM - Search Results

1

Cancer heterogeneity determined by functional proteomics.

Szász AM, Győrffy B, Marko-Varga G. Szász AM, et al. Semin Cell Dev Biol. 2017 Apr;64:132-142. doi: 10.1016/j.semcdb.2016.08.026. Epub 2016 Aug 26. Semin Cell Dev Biol. 2017. PMID: 27569188 Review.

2

Identification of a claudin-4 and E-cadherin score to predict prognosis in breast cancer.

Szasz AM, Nemeth Z, Gyorffy B, Micsinai M, Krenacs T, Baranyai Z, Harsanyi L, Kiss A, Schaff Z, Tokes AM, Kulka J. Szasz AM, et al. Cancer Sci. 2011 Dec;102(12):2248-54. doi: 10.1111/j.1349-7006.2011.02085.x. Epub 2011 Oct 12. Cancer Sci. 2011. PMID: 21883696 Free article.

3

The CIN4 chromosomal instability qPCR classifier defines tumor aneuploidy and stratifies outcome in grade 2 breast cancer.

Szász AM, Li Q, Eklund AC, Sztupinszki Z, Rowan A, Tőkés AM, Székely B, Kiss A, Szendrői M, Győrffy B, Szállási Z, Swanton C, Kulka J. Szász AM, et al. PLoS One. 2013;8(2):e56707. doi: 10.1371/journal.pone.0056707. Epub 2013 Feb 26. PLoS One. 2013. PMID: 23468873 Free PMC article.

4

Identifying resistance mechanisms against five tyrosine kinase inhibitors targeting the ERBB/RAS pathway in 45 cancer cell lines.

Pénzváltó Z, Tegze B, Szász AM, Sztupinszki Z, Likó I, Szendrői A, Schäfer R, Győrffy B. Pénzváltó Z, et al. Among authors: szasz am. PLoS One. 2013;8(3):e59503. doi: 10.1371/journal.pone.0059503. Epub 2013 Mar 29. PLoS One. 2013. PMID: 23555683 Free PMC article.

5

[Simplified, low-cost gene expression profiling for the prediction of outcome in breast cancer based on routine histologic specimens].

Szász AM, Ács B, Ágoston E, Sztupinszki Z, Tőkés AM, Szittya L, Székely B, Szendrői M, Li Q, Harsányi L, Tímár J, Szállási Z, Swanton C, Győrffy B, Kulka J. Szász AM, et al. Orv Hetil. 2013 Apr 21;154(16):627-32. doi: 10.1556/OH.2013.29590. Orv Hetil. 2013. PMID: 23587542 Hungarian.

6

Predicting the chance of relapse after tamoxifen treatment in breast cancer.

Mihály Z, Szász AM, Győrffy B. Mihály Z, et al. Among authors: szasz am. Biomark Med. 2014;8(1):77-9. doi: 10.2217/bmm.13.117. Biomark Med. 2014. PMID: 24325229 No abstract available.

7

Correlations of differentially expressed gap junction connexins Cx26, Cx30, Cx32, Cx43 and Cx46 with breast cancer progression and prognosis.

Teleki I, Szasz AM, Maros ME, Gyorffy B, Kulka J, Meggyeshazi N, Kiszner G, Balla P, Samu A, Krenacs T. Teleki I, et al. Among authors: szasz am. PLoS One. 2014 Nov 10;9(11):e112541. doi: 10.1371/journal.pone.0112541. eCollection 2014. PLoS One. 2014. PMID: 25383624 Free PMC article.

8

BRCA Mutation-Related and Claudin-Low Breast Cancer: Blood Relatives or Stepsisters.

Madaras L, Balint N, Gyorffy B, Tokes AM, Barshack I, Yosepovich A, Friedman E, Paluch-Shimon S, Zippel D, Baghy K, Timar J, Kovalszky I, Kulka J, Szasz AM. Madaras L, et al. Among authors: szasz am. Pathobiology. 2016;83(1):1-12. doi: 10.1159/000439135. Epub 2015 Nov 14. Pathobiology. 2016. PMID: 26566278 Free article.

9

Comparison of Predictive Immunohistochemical Marker Expression of Primary Breast Cancer and Paired Distant Metastasis using Surgical Material: A Practice-Based Study.

Kulka J, Székely B, Lukács LV, Kiss O, Tőkés AM, Vincze E, Turányi E, Fillinger J, Hanzély Z, Arató G, Szendrői M, Győrffy B, Szász AM. Kulka J, et al. Among authors: szasz am. J Histochem Cytochem. 2016 Apr;64(4):256-67. doi: 10.1369/0022155416639013. J Histochem Cytochem. 2016. PMID: 27029768 Free PMC article.

10

Opposite prognostic roles of HIF1α and HIF2α expressions in bone metastatic clear cell renal cell cancer.

Szendrői A, Szász AM, Kardos M, Tőkés AM, Idan R, Szűcs M, Kulka J, Nyirády P, Szendrői M, Szállási Z, Győrffy B, Tímár J. Szendrői A, et al. Among authors: szasz am. Oncotarget. 2016 Jul 5;7(27):42086-42098. doi: 10.18632/oncotarget.9669. Oncotarget. 2016. PMID: 27244898 Free PMC article.

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