SELECTED PUBLICATIONS
Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort
Pipek O, Alpár D, Rusz O, Bödör C, Udvarnoki Z, Medgyes-Horváth A, Csabai I, Szállási Z, Madaras L, Kahán Z, Cserni G, Kővári B, Kulka J, Tőkés AM
Int. J. Mol. Sci. 2023; 24(10): 8553. DOI: https://doi.org/10.3390/ijms24108553
Phylogenetic analysis of metastatic progression in breast cancer using somatic mutations and copy number aberrations
Brown D, Smeets D, Székely B, Larsimont D, Szász AM, Adnet PY, Rothé F, Rouas G, Nagy ZI, Faragó Z, Tőkés AM, Dank M, Szentmártoni G, Udvarhelyi N, Zoppoli G, Pusztai L, Piccart M, Kulka J, Lambrechts D, Sotiriou C, Desmedt C
Nat. Commun. 2017; 8: 14944. DOI: https://doi.org/10.1038/ncomms14944
Breast carcinoma subtypes show different patterns of metastatic behavior
Molnár IA, Molnár BA, Vizkeleti L, Fekete K, Tamás J, Deák P, Szundi C, Székely B, Moldvay J, Vári-Kakas S, Szász AM, Acs B, Kulka J, Tőkés AM
Virchows Arch. 2017;470(3):275–283. DOI: https://doi.org/10.1007/s00428-017-2065-7
Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy
Ács B, Zámbó V, Vizkeleti L, Szász AM, Madaras L, Szentmártoni G, Tőkés T, Molnár BA, Molnár IA, Vári-Kakas S, Kulka J, Tőkés AM
Diagn. Pathol. 2017;12:20. DOI: https://doi.org/10.1186/s13000-017-0608-5
Claudin-1, -3 and -4 proteins and mRNA expression in benign and malignant breast lesions: a research study
Tőkés AM, Kulka J, Paku S, Szik A, Páska C, Kaposi Novák P, Szilák L, Kiss A, Bögi K, Schaff Z
Breast Cancer Res. 2005;7(2):R296–R305. DOI: https://doi.org/10.1186/bcr983
RECENT PUBLICATIONS
Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences
Kovács KA, Kerepesi C, Rapcsák D, Madaras L, Nagy Á, Takács A, Dank M, Szentmártoni G, Szász AM, Kulka J, Tőkés AM
Sci. Rep. 2025;15:4868. DOI: https://doi.org/10.1038/s41598-025-89339-9
Research autopsy programmes in oncology: shared experience from 14 centres across the world
Geukens T, Maetens M, Hooper JE, Oesterreich S, Lee AV, Miller L, Atkinson JM, Rosenzweig M, Puhalla S, Thorne H, Devereux L, Bowtell D, Loi S, Bacon ER, Ihle K, Song M, Rodriguez-Rodriguez L, Welm AL, Gauchay L, Murali R, Chanda P, Karacay A, Naceur-Lombardelli C, Bridger H, Swanton C, Jamal-Hanjani M, Kollath L, True L, Morrissey C, Chambers M, Chinnaiyan AM, Wilson A, Mehra R, Reichert Z, Carey LA, Perou CM, Kelly E, Maeda D, Goto A, Kulka J, Székely B, Szász AM, Tőkés AM
J. Pathol. 2024;263(2):150–165. DOI: https://doi.org/10.1002/path.6271
Digital Whole Slide Image Analysis of Elevated Stromal Content and Extracellular Matrix Protein Expression Predicts Adverse Prognosis in Triple-Negative Breast Cancer
Karancsi Z, Gregus B, Krenács T, Cserni G, Nagy Á, Szőcs-Trinfa KF, Kulka J, Tőkés AM
Int. J. Mol. Sci. 2024;25(17):9445. DOI: https://doi.org/10.3390/ijms25179445
Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors
Kerepesi C, Abushukair HM, Ricciuti B, Nassar AH, Adib E, Alessi JV, Pecci F, Rakaee M, Fadlullah MZH, Tőkés AM, Rodig SJ, Awad MM, Tan AC, Bakacs T, Naqash AR
JCO Precis. Oncol. 2024;8:e2300439. DOI: https://doi.org/10.1200/PO.23.00439
Novel RICTOR amplification harbouring entities: FISH validation of RICTOR amplification in tumour tissue after next-generation sequencing
Sztankovics D, Krencz I, Moldvai D, Dankó T, Nagy Á, Nagy N, Bedics G, Rókusz A, Papp G, Tőkés AM, Pápay J, Sápi Z, Dezső K, Bödör C, Sebestyén A
Sci. Rep. 2023;13:19610. DOI: https://doi.org/10.1038/s41598-023-46927-x
For all my publications see my MTMT profile.