TMA Grand Master publication list

1.    Zlobec, I., Koelzer, V.H., Dawson, H., Perren, A., and Lugli, A. (2013).
Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types.
J. Transl. Med. 11, 104.;

2.    Zlobec, I., Suter, G., Perren, A., and Lugli, A. (2014).
A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies.
J. Vis. Exp. 91.

3.    Aleskandarany, M.,  Caracappa, D.,  Nolan, C., C.,  Macmillan, D.,  R.,  Ellis, I., O., Rakha. E., A., and  Green, A., E. (2015).
DNA damage response markers are differentially expressed in BRCA-mutated breast cancers.
Breast Cancer Research and Treatment. 10.1007/s10549-015-3306-6

4.    Dale, Oliver T., Tamara Aleksic, Ketan A. Shah, Cheng Han, Hisham Mehanna, Davy C. M. Rapozo, Jon D. H. Shear. (2015).
IGF-1R Expression Is Associated with HPV Negative Status and Adverse Survival in Head and Neck Squamous Cell Cancer.
Carcinogenesis. bgv053. doi:10.1093/carcin/bgv053.

5.   Lacombe, A., Carafa, V., Schneider, S., Sticker-Jantscheff, M., Tornillo, L., and Eppenberger-Castori, S. (2015).
Re-Punching Tissue Microarrays Is Possible: Why Can This Be Useful and How to Do It.
Microarrays 4, 245–254.

6.   Vassella, E., Galván, J.A., and Zlobec, I. (2015).
Tissue Microarray Technology for Molecular Applications: Investigation of Cross-Contamination between Tissue Samples Obtained from the Same Punching Device.
Microarrays 4, 188–195.;

7.   Lindskog, C., Linné, J., Fagerberg, L., Hallström, B.M., Sundberg, C.J., Lindholm, M., Huss, M., Kampf, C., Choi, H., Liem, D.A., et al. (2015). The human cardiac and skeletal muscle proteomes defined by transcriptomics and antibody-based profiling.
BMC Genomics 16, 475.;

8.   Leenen, L. P. H., & Blokhuis, T. J. (2016). Neutrophils contribute to fracture healing by synthesizing fibronectin+ extracellular matrix rapidly after injury. Clinical Immunology, 164, 78–84. 

9.   Koole, K., Clausen, M.J.A.M., Es, R.J.J., Kempen, P.M.W., Melchers, L.J., Koole, R., Langendijk, J.A., Diest, P.J., Roodenburg, J.L.N., Schuuring, E., et al. (2016). FGFR Family Members Protein Expression as Prognostic Markers in Oral Cavity and Oropharyngeal Squamous Cell Carcinoma. Mol. Diagn. Ther. 1–12.

10. Green, W.J., Ball, G., Hulman, G., Johnson, C., Van Schalwyk, G., Ratan, H.L., Soria, D., Garibaldi, J.M., Parkinson, R., Hulman, J., et al. (2016). KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach. Br. J. Cancer.

11. Koole, K., Peeters, T., van Hengel, O.R.J., Brinkhuis, A., van Es, R.J.J., and Willems, S.M. (2016). RET protein is overexpressed in oral squamous cell carcinoma. Histopathology doi: 10.1111/his.13023.

12. Nolte, S., Zlobec, I., Lugli, A., Hohenberger, W., Croner, R., Merkel, S., Hartmann, A., Geppert, C.I., and Rau, T.T. (2017). Construction and analysis of tissue microarrays in the era of digital pathology: a pilot study targeting CDX1 and CDX2 in a colon cancer cohort of 612 patients. J. Pathol. Clin. Res. 3, 58–70.

13. Giovannetti, E., Zucali, P.A., Assaraf, Y.G., Funel, N., Gemelli, M., Stark, M., Thunnissen, E., Hou, Z., Muller, I.B., Struijs, E.A., et al. (2017). Role of proton-coupled folate transporter in pemetrexed-resistance of mesothelioma: clinical evidence and new pharmacological tools. Ann. Oncol.

14. Rau, K.-M., Su, Y.-L., Li, S.-H., Hsieh, M.-C., Wu, S.-C., Chou, F.-F., Chiu, T.-J., Chen, Y.-H., and Liu, C.-T. (2017). High expression of endoglin in primary breast cancer may predict response to neoadjuvant chemotherapy. Mol. Med. Rep. 16, 7185–7190.

15. Lin, F. (2017). Immunohistochemistry Quality Management Program Using Cultured Cell Lines for Tissue Microarray (TMA) Blocks. 

16. Laedrach, C., Salhia, B., Cihoric, N., Zlobec,I., Tapia, C. (2018). Immunophenotypic profile of tumor buds in breast cancer. Pathol. Res. Pract. [Epub ahead of print]

17. Glatzel-Plucinska, N., Piotrowska, A., Grzegrzolka, J., Olbromski, M., Rzechonek, A., Dziegiel, P., and Podhorska-Okolow, M. (2018). SATB1 Level Correlates with Ki-67 Expression and Is a Positive Prognostic Factor in Non-small Cell Lung Carcinoma. Anticancer Res. 38, 723–736.

18. Visser , N.C.M., Wurff, A.A.M. van der, Pijnenborg, J.M.A., Massuger, L.F.A.G., Bulten, J., and Nagtegaal, I.D. (2018). Tissue microarray is suitable for scientific biomarkers studies in endometrial cancer. Virchows Arch. 1–7.

19. Hadgu, E., Seifu, D., Tigneh, W., Bokretsion, Y., Bekele, A., Abebe, M., Sollie, T., Merajver, S.D., Karlsson, C., and Karlsson, M.G. (2018). Breast cancer in Ethiopia: evidence for geographic difference in the distribution of molecular subtypes in Africa. BMC Womens Health 18, 40.

20. Zadka, Ł., Kulus, M.J., Kurnol, K., Piotrowska, A., Glatzel-Plucińska, N., Jurek, T., Czuba, M., Nowak, A., Chabowski, M., Janczak, D., et al. (2018). The expression of IL10RA in colorectal cancer and its correlation with the proliferation index and the clinical stage of the disease. Cytokine 110, 116–125.

See full TMA Master publication list