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Featured researches published by Balázs Ács.


npj Breast Cancer | 2016

AXL-associated tumor inflammation as a poor prognostic signature in chemotherapy-treated triple-negative breast cancer patients

Giulia Bottai; Carlotta Raschioni; Borbála Székely; Luca Di Tommaso; Attila M. Szász; Agnese Losurdo; Balázs Győrffy; Balázs Ács; Rosalba Torrisi; Niki Karachaliou; Tímea Tőkés; Michele Caruso; Janina Kulka; Massimo Roncalli; Armando Santoro; Alberto Mantovani; R. Rosell; Jorge S. Reis-Filho; Libero Santarpia

A subgroup of triple-negative breast cancer (TNBC) shows epithelial-to-mesenchymal transition (EMT) features, which are sustained by the interaction between cancer cells and tumor-associated macrophages (TAMs). In this study, the clinical relevance of 30 EMT-related kinases and the potential cross-talk with TAMs were investigated in a cohort of 203 TNBC patients treated with adjuvant chemotherapy. The prognostic value of the evaluated markers was validated in two independent cohorts of TNBC patients treated with adjuvant chemotherapy (N=95; N=137). In vitro, we investigated the potential synergism between cancer cells and TAMs. We found that the EMT-related kinase AXL showed the highest correlation with the frequency of CD163-positive macrophages (rS=0.503; P<0.0001). Relapsing TNBC patients presented high expression of AXL (P<0.0001) and CD163 (P<0.018), but only AXL retained independent prognostic significance in multivariate analysis (relapse-free survival, P=0.002; overall survival P=0.001). In vitro analysis demonstrated that AXL-expressing TNBC cells were able to polarize human macrophages towards an M2-like phenotype, and modulate a specific pattern of pro-tumor cytokines and chemokines. Selective AXL inhibition impaired the activity of M2-like macrophages, reducing cancer cell invasiveness, and restoring the sensitivity of breast cancer cells to chemotherapeutic drugs. These data suggest that the EMT-related kinase AXL overexpressed in cancer cells has prognostic significance, and contributes to the functional skewing of macrophage functions in TNBC. AXL inhibition may represent a novel strategy to target cancer cells, as well as tumor-promoting TAMs in TNBC.


Diagnostic Pathology | 2017

Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy

Balázs Ács; Veronika Zámbó; Laura Vízkeleti; A. Marcell Szász; Lilla Madaras; Gyöngyvér Szentmártoni; Tímea Tőkés; Béla Ákos Molnár; István Artúr Molnár; Stefan Vári-Kakas; Janina Kulka; Anna-Mária Tőkés

BackgroundStudies have partly demonstrated the clinical validity of Ki-67 as a predictive marker in the neoadjuvant setting, but the question of the best cut-off points as well as the importance of this marker as a prognostic factor in partial responder/non-responder groups remains uncertain.MethodsOne hundred twenty patients diagnosed with invasive breast cancer and treated with neoadjuvant chemotherapy (NAC) between 2002 and 2013 were retrospectively recruited to this study. The optimal cut-off value for Ki-67 labeling index (LI) to discriminate response to treatment was assessed by receiver operating characteristic (ROC) curve analysis. Kaplan-Meier curve estimation, log-rank test and cox regression analysis were carried out to reveal the association between Ki-67 categories and survival (DMFS = Distant metastases-free survival, OS = Overall survival).ResultsTwenty three out of 120 patients (19.2%) achieved pathologic complete remission (pCR), whereas partial remission (pPR) and no response (pNR) to neoadjuvant chemotherapy (NAC) was detected in 60.8% and 20.0%, respectively. The distribution of subtypes showed a significant difference in pathological response groups (p < 0.001). Most of the TNBC cases were represented in pCR group.The most relevant cut-off value for the Ki-67 distinguishing pCR from pNR cases was 20% (p = 0.002). No significant threshold for Ki-67 was found regarding DMFS (p = 0.208). Considering OS, the optimal cut-off point occurred at 15% Ki-67 (p = 0.006). The pPR group represented a significant Ki-67 threshold at 30% regarding OS (p = 0.001). Ki-67 and pPR subgroups were not significantly associated (p = 0.653). For prognosis prediction, Ki-67 at 30% cut-off value (p = 0.040) furthermore subtype (p = 0.037) as well as pathological response (p = 0.044) were suitable to separate patients into good and unfavorable prognosis cohorts regarding OS. However, in multivariate analyses, only Ki-67 at 30% threshold (p = 0.029), and subtype (p = 0.008) were independently linked to OS.ConclusionsNAC is more efficient in tumors with at least 20% Ki-67 LI. Both Ki-67 LI and subtype showed a significant association with pathological response. Ki-67 LI represented independent prognostic potential to OS in our neoadjuvant patient cohort, while pathological response did not. Additionally, our data also suggest that if a tumor is non-responder to NAC, increased Ki-67 is a poor prognostic marker.


Cancer Chemotherapy and Pharmacology | 2018

LAPTM4B gene copy number gain is associated with inferior response to anthracycline-based chemotherapy in hormone receptor negative breast carcinomas

Orsolya Rusz; Orsolya Papp; Laura Vízkeleti; Béla Ákos Molnár; Kristóf Csaba Bende; Gábor Lotz; Balázs Ács; Zsuzsanna Kahán; Tamás Székely; Ágnes Báthori; Csilla Szundi; Janina Kulka; Zoltan Szallasi; Anna Mária Tőkés

PurposeTo determine the associations between lysosomal-associated transmembrane protein 4b (LAPTM4B) gene copy number and response to different chemotherapy regimens in hormone receptor negative (HR-) primary breast carcinomas.Patients and methodsTwo cohorts were analyzed: (1) 69 core biopsies from HR-breast carcinomas treated with neoadjuvant chemotherapy (anthracycline based in 72.5% of patients and non-anthracycline based in 27.5% of patients). (2) Tissue microarray (TMA) of 74 HR-breast carcinomas treated with adjuvant therapy (77.0% of the patients received anthracycline, 17.6% of the patients non-anthracycline-based therapy, and in 5.4% of the cases, no treatment data are available). Interphase FISH technique was applied on pretreatment core biopsies (cohort I) and on TMAs (cohort II) using custom-made dual-labelled FISH probes (LAPTM4B/CEN8q FISH probe Abnova Corp.).ResultsIn the neoadjuvant cohort in the anthracycline-treated group, we observed a significant difference (p = 0.029) of average LAPTM4B copy number between the non-responder and pathological complete responder groups (4.1 ± 1.1 vs. 2.6 ± 0.1). In the adjuvant setting, the anthracycline-treated group of metastatic breast carcinomas was characterized by higher LAPTM4B copy number comparing to the non-metastatic ones (p = 0.046). In contrast, in the non-anthracycline-treated group of patients, we did not find any LAPTM4B gene copy number differences between responder vs. non-responder groups or between metastatic vs. non-metastatic groups.ConclusionOur results confirm the possible role of the LAPTM4B gene in anthracycline resistance in HR− breast cancer. Analyzing LAPTM4B copy number pattern may support future treatment decision.


Diagnostic Pathology | 2016

In depth evaluation of the prognostic and predictive utility of PTEN immunohistochemistry in colorectal carcinomas: performance of three antibodies with emphasis on intracellular and intratumoral heterogeneity

Emese Irma Ágoston; Tamás Micsik; Balázs Ács; Krisztina Fekete; Oszkár Hahn; Zsolt Baranyai; Kristóf Dede; György Bodoky; Attila Bursics; Janina Kulka; Tibor Krenács; Balázs Győrffy; László Harsányi; A. Marcell Szász

BackgroundPhosphatase and tensin homolog deleted in chromosome 10 (PTEN) loss of function is frequently detected in advanced colorectal cancer. Its detection is thought to have prognostic significance and it is being considered to predict responsiveness to anti-EGFR therapy. Unfortunately, while immunohistochemical assessment of PTEN expression is widespread, it lacks standardization and the results are hardly comparable across the available publications.MethodsRetrospectively collected, formalin-fixed and paraffin-embedded colorectal tumor tissue samples from 55 patients were combined into tissue microarray (TMA) blocks. We used three different PTEN antibodies to determine the frequency, intensity and intracellular pattern of PTEN immunohistochemical labeling: Neomarkers, Dako and CellSignaling. We evaluated the aforementioned parameters in selected regions of colorectal cancers and in their lymph node metastases by using three scoring methods that take into consideration both staining frequency and intensity (H1-H3-score). We also evaluated intracellular localization.ResultsThe Dako and CellSignaling antibodies stained predominantly cytoplasms, while the Neomarkers antibody specifically stained cell nuclei. PTEN H-scores were significantly lower in all tumor areas as compared to the normal colonic mucosa based on staining with the DAKO and CellSignaling antibodies. Intratumoral regional differences or differences between matching tumors and metastases were not detected with any of the antibodies. Neither Dako, neither CellSignaling, nor the Neomarkers antibodies revealed a significant correlation between PTEN expression and pT, Dukes/MAC and clinical stage. KRAS status, histological grade correlated with PTEN H-scores based on staining with the Neomarkers antibody. PTEN H-scores did not correlate with MMR status. PTEN H-scores did not show any correlation with relapse-free survival based on staining with either antibody.ConclusionsWhile PTEN expression decreased in colorectal cancer according to two antibodies, neither of the three applied PTEN antibodies could justify significant correlation with clinicopathological data, nor had prognostic value. Thus, we might conclude that immunohistochemical PTEN investigation remains a challenge requiring more standardized evaluation on larger number of cases to clarify its utility as a prognostic and predictive tool in CRC. The standardization of immunohistochemical method is key in the evaluation process, which is further discussed.


Current Cancer Drug Targets | 2015

Current State of ERG as Biomarker in Prostatic Adenocarcinoma.

Balázs Ács; Tibor Szarvas; Szekely N; Péter Nyirády; Attila Marcell Szász

In this review we briefly discuss the possible biomarkers of prostate cancer among them we focus and analyze the relevance of TMPRSS2-ERG fusion gene in line with ERG expression in the diagnosis of prostate cancer. Starting at diagnosis and genetic alterations in prostate carcinomas, we examine the incidence and detection of the most common genetic aberration in this tumor and its protein product as well. We also examined the correlation of clinicopathological factors and prognosis with ERG and the TMPRSS2-ERG fusion oncogene and ERG expression as predictive markers.


Hungarian Journal of Surgery | 2014

Is radicality granted? Transanal endoscopic microsurgery for the treatment of rectal neoplasia – clinicopathological viewpoint

Balázs Ács; A. Marcell Szász; Janina Kulka; László Harsányi; Attila Zaránd

The transanal endoscopic microsurgery (TEM) provides lower relapse and complication rate for the the surgical treatment of the neoplasms of the middle and lower third of the rectum in selected cases. Hence, it can be an alternative method of the conventional approaches, if it does not compromise oncological radicality. The TEM procedure has been started at the 1st Department of Surgery, Semmelweis University in the fall of 2013. In this short study we have evaluated the clinicopathological characteristics of patients undergoing TEM between September 2013 and September 2014. Fourty-four patients were included in our retrospective analysis. 12 patients had low grade adenoma, 14 patients had high grade adenoma, 17 patients had invasive adenocarcinoma, while one was operated for a neuroendocrine tumor. There was no difference in the size of neoplasms between the low and high grade adenomas or adenocarcinomas (p = 0.210), tumors below the size of 30 mm or over 30 mm displayed no significant difference either (p = 0.424). The surgical margins were free of tumor in 41 cases (95.3%). In 13 out of 44 cases the preoperative histology proposed a lower grade neoplasm than the final report (p < 0.001). These results demonstrate that the surgical treatment of large adenomas with TEM technique, which involves excision of the whole bowel wall, is more appropriate than the fractionated removal or polypectomy supplemented by mucosectomy. The pT2 stage tumours might be subjected to the TEM method in selected cases (e.g. following neoadjuvant treatment or palliative care), but this has to be confirmed with prospecively evaluated large series clinical studies which are currently ongoing.


Orvosi Hetilap | 2013

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

Attila Marcell Szász; Balázs Ács; Emese Irma Ágoston; Zsófia Sztupinszki; Anna-Mária Tőkés; Liliána Szittya; Borbála Székely; Miklós Szendrői; Qiyuan Li; László Harsányi; József Tímár; Zoltan Szallasi; Charles Swanton; Balázs Győrffy; Janina Kulka

BACKGROUND Grade 2 breast carcinomas do not form a uniform prognostic group. AIM To extend the number of patients and the investigated genes of a previously identified prognostic signature described by the authors that reflect chromosomal instability in order to refine characterization of grade 2 breast cancers and identify driver genes. METHODS Using publicly available databases, the authors selected 9 target and 3 housekeeping genes that are capable to divide grade 2 breast carcinomas into prognostic groups. Gene expression was investigated by polymerase chain reaction in 249 formalin-fixed, paraffin-embedded breast tumors. The results were correlated with relapse-free survival. RESULTS Histologically grade 2 carcinomas were split into good and a poor prognosis groups. Centroid-based ranking showed that 3 genes, FOXM1, TOP2A and CLDN4 were able to separate the good and poor prognostic groups of grade 2 breast carcinomas. CONCLUSION Using appropriately selected control genes, a limited set of genes is able to split prognostic groups of breast carcinomas independently from their grade.


Orvosi Hetilap | 2013

Prediction of the prognosis of breast cancer in routine histologic specimens using a simplified, low-cost gene expression signature

A. Marcell Szász; Balázs Ács; Emese Irma Ágoston; Zsófia Sztupinszki; Anna-Mária Tőkés; Liliána Szittya; Borbála Székely; Miklós Szendrői; Qiyuan Li; László Harsányi; József Tímár; Zoltan Szallasi; Charles Swanton; Balázs Győrffy; Janina Kulka

BACKGROUND Grade 2 breast carcinomas do not form a uniform prognostic group. AIM To extend the number of patients and the investigated genes of a previously identified prognostic signature described by the authors that reflect chromosomal instability in order to refine characterization of grade 2 breast cancers and identify driver genes. METHODS Using publicly available databases, the authors selected 9 target and 3 housekeeping genes that are capable to divide grade 2 breast carcinomas into prognostic groups. Gene expression was investigated by polymerase chain reaction in 249 formalin-fixed, paraffin-embedded breast tumors. The results were correlated with relapse-free survival. RESULTS Histologically grade 2 carcinomas were split into good and a poor prognosis groups. Centroid-based ranking showed that 3 genes, FOXM1, TOP2A and CLDN4 were able to separate the good and poor prognostic groups of grade 2 breast carcinomas. CONCLUSION Using appropriately selected control genes, a limited set of genes is able to split prognostic groups of breast carcinomas independently from their grade.


Virchows Archiv | 2017

Breast carcinoma subtypes show different patterns of metastatic behavior

István Artúr Molnár; Béla Ákos Molnár; Laura Vízkeleti; Krisztina Fekete; Judit Tamás; Péter Deák; Csilla Szundi; Borbála Székely; Judit Moldvay; Stefan Vári-Kakas; Marcell A. Szász; Balázs Ács; Janina Kulka; Anna Mária Tőkés


The Breast | 2017

PD-1, PD-L1 and CTLA-4 in pregnancy-related – and in early-onset breast cancer: A comparative study

Balázs Ács; Lilla Madaras; Anna Mária Tőkés; Attila Kovács; Erzsébet Kovács; Magdolna Ozsvári-Vidákovich; Ádám Karászi; Ede Birtalan; Magdolna Dank; Attila Marcell Szász; Janina Kulka

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Balázs Győrffy

Hungarian Academy of Sciences

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