TY - JOUR AU - Kiss, Zoltán AU - Maráz, Anikó AU - Rokszin, György Aurél AU - Horváth, Zsolt AU - Nagy, Péter AU - Bajcsayné Fábián, Ibolya AU - Kovács, Valéria AU - Surján, György AU - Barcza, Zsófia AU - Kenessey, István AU - Wéber, András AU - Wittmann, István AU - Molnár, Gergő Attila AU - Gyöngyösi, Eszter AU - Buga, Viktória AU - Darida, Miklós AU - Szabó, Tamás G. AU - Karamousouli, Eugenia AU - Abonyi-Tóth, Zsolt AU - Bertókné, Tamás Renáta AU - Fürtős, Diána AU - Bogos, Krisztina AU - Moldvay, Judit AU - Gálffy, Gabriella AU - Tamási, Lilla AU - Müller, Veronika AU - Krasznai, Zoárd Tibor AU - Ostoros, Gyula AU - Pápai-Székely, Zsolt AU - Branyiczkiné, Géczy Gabriella AU - Hilbert, Lászlóné AU - Polgár, Csaba AU - Vokó, Zoltán TI - Improvements in cancer survival in Hungary: a nationwide epidemiology study between 2011–2019 based on a health insurance fund database JF - FRONTIERS IN ONCOLOGY J2 - FRONT ONCOL VL - 15 PY - 2025 PG - 13 SN - 2234-943X DO - 10.3389/fonc.2025.1446611 UR - https://m2.mtmt.hu/api/publication/36073652 ID - 36073652 N1 - * Megosztott szerzőség LA - English DB - MTMT ER - TY - JOUR AU - Kiss, Zoltán AU - Berki, Tamás AU - Maráz, Anikó AU - Horváth, Zsolt AU - Nagy, Péter AU - Bajcsayné Fábián, Ibolya AU - Kovács, Valéria AU - Rokszin, György Aurél AU - Surján, György AU - Barcza, Zsófia AU - Kenessey, István AU - Wéber, András AU - Wittmann, István AU - Molnár, Gergő Attila AU - Szabó, Tamás G AU - Buga, Viktória AU - Karamousouli, Eugenia AU - Darida, Miklós AU - Abonyi-Tóth, Zsolt AU - Bertókné Tamás, Renáta AU - Fürtős, Viktória Diána AU - Bogos, Krisztina AU - Moldvay, Judit AU - Gálffy, Gabriella AU - Tamási, Lilla AU - Müller, Veronika AU - Krasznai, Zoárd Tibor AU - Ostoros, Gyula AU - Pápai-Székely, Zsolt AU - Branyiczkiné, Géczy Gabriella AU - Hilbert, Lászlóné AU - Polgár, Csaba AU - Vokó, Zoltán TI - Overall Survival of Hungarian Cancer Patients Diagnosed Between 2011 and 2019, Based on the Health Insurance Fund Database JF - CANCERS J2 - CANCERS VL - 17 PY - 2025 IS - 10 PG - 20 SN - 2072-6694 DO - 10.3390/cancers17101670 UR - https://m2.mtmt.hu/api/publication/36125308 ID - 36125308 LA - English DB - MTMT ER - TY - JOUR AU - Megyesfalvi, Zsolt AU - Gay, Carl M AU - Popper, Helmut AU - Pirker, Robert AU - Ostoros, Gyula AU - Heeke, Simon AU - Lang, Christian AU - Hoetzenecker, Konrad AU - Schwendenwein, Anna AU - Boettiger, Kristiina AU - Bunn, Paul A AU - Rényi-Vámos, Ferenc István AU - Schelch, Karin AU - Prosch, Helmut AU - Byers, Lauren A AU - Hirsch, Fred R AU - Döme, Balázs TI - Clinical insights into small cell lung cancer. Tumor heterogeneity, diagnosis, therapy, and future directions. TS - Tumor heterogeneity, diagnosis, therapy, and future directions. JF - CA-A CANCER JOURNAL FOR CLINICIANS J2 - CA-CANCER J CLIN VL - 73 PY - 2023 IS - 6 SP - 620 EP - 652 PG - 33 SN - 0007-9235 DO - 10.3322/caac.21785 UR - https://m2.mtmt.hu/api/publication/34024285 ID - 34024285 N1 - Funding Agency and Grant Number: Hungarian National Research, Development, and Innovation Office [KH130356, 2020-1.1.6-JOVO, TKP2021-EGA-33, FK-143751]; Austrian Science Fund [T 1062-B33, FWF I4677, 2020]; New National Excellence Program of the Ministry for Innovation and Technology of Hungary [UNKP-20-3, UNKP-21-3]; Hungarian Respiratory Society; International Association for the Study of Lung Cancer/International Lung Cancer Foundation Young Investigator Grant; City of Vienna Fund for Innovative Interdisciplinary Cancer Research; International Association for the Study of Lung Cancer Early Career Education Award; American Society of Clinical Oncology Young Investigator Award; Cancer Research Prevention Institute of Texas Early Clinical Investigator Award; LUNGevity Foundation Career Development Award; [FWF I3522]; [FWF I3977] AB - Small cell lung cancer (SCLC) is characterized by rapid growth and high metastatic capacity. It has strong epidemiologic and biologic links to tobacco carcinogens. Although the majority of SCLCs exhibit neuroendocrine features, an important subset of tumors lacks these properties. Genomic profiling of SCLC reveals genetic instability, almost universal inactivation of the tumor suppressor genes TP53 and RB1, and a high mutation burden. Because of early metastasis, only a small fraction of patients are amenable to curative-intent lung resection, and these individuals require adjuvant platinum-etoposide chemotherapy. Therefore, the vast majority of patients are currently being treated with chemoradiation with or without immunotherapy. In patients with disease confined to the chest, standard therapy includes thoracic radiotherapy and concurrent platinum-etoposide chemotherapy. Patients with metastatic (extensive-stage) disease are treated with a combination of platinum-etoposide chemotherapy plus immunotherapy with an anti-programmed death-ligand 1 monoclonal antibody. Although SCLC is initially very responsive to platinum-based chemotherapy, these responses are transient because of the development of drug resistance. In recent years, the authors have witnessed an accelerating pace of biologic insights into the disease, leading to the redefinition of the SCLC classification scheme. This emerging knowledge of SCLC molecular subtypes has the potential to define unique therapeutic vulnerabilities. Synthesizing these new discoveries with the current knowledge of SCLC biology and clinical management may lead to unprecedented advances in SCLC patient care. Here, the authors present an overview of multimodal clinical approaches in SCLC, with a special focus on illuminating how recent advancements in SCLC research could accelerate clinical development. LA - English DB - MTMT ER - TY - JOUR AU - Heymach, John V. AU - Harpole, David AU - Mitsudomi, Tetsuya AU - Taube, Janis M. AU - Gálffy, Gabriella AU - Hochmair, Maximilian AU - Winder, Thomas AU - Zukov, Ruslan AU - Garbaos, Gabriel AU - Gao, Shugeng AU - Kuroda, Hiroaki AU - Ostoros, Gyula AU - Tran, Tho V. AU - You, Jian AU - Lee, Kang-Yun AU - Antonuzzo, Lorenzo AU - Papai-Szekely, Zsolt AU - Akamatsu, Hiroaki AU - Biswas, Bivas AU - Spira, Alexander AU - Crawford, Jeffrey AU - Le, Ha T. AU - Aperghis, Mike AU - Doherty, Gary J. AU - Mann, Helen AU - Fouad, Tamer M. AU - Reck, Martin TI - Perioperative Durvalumab for Resectable Non-Small-Cell Lung Cancer JF - NEW ENGLAND JOURNAL OF MEDICINE J2 - NEW ENGL J MED VL - 389 PY - 2023 IS - 18 SP - 1672 EP - 1684 PG - 13 SN - 0028-4793 DO - 10.1056/NEJMoa2304875 UR - https://m2.mtmt.hu/api/publication/34310821 ID - 34310821 AB - Background Neoadjuvant or adjuvant immunotherapy can improve outcomes in patients with resectable non-small-cell lung cancer (NSCLC). Perioperative regimens may combine benefits of both to improve long-term outcomes.Methods We randomly assigned patients with resectable NSCLC (stage II to IIIB [N2 node stage] according to the eighth edition of the AJCC Cancer Staging Manual) to receive platinum-based chemotherapy plus durvalumab or placebo administered intravenously every 3 weeks for 4 cycles before surgery, followed by adjuvant durvalumab or placebo intravenously every 4 weeks for 12 cycles. Randomization was stratified according to disease stage (II or III) and programmed death ligand 1 (PD-L1) expression (>= 1% or <1%). Primary end points were event-free survival (defined as the time to the earliest occurrence of progressive disease that precluded surgery or prevented completion of surgery, disease recurrence [assessed in a blinded fashion by independent central review], or death from any cause) and pathological complete response (evaluated centrally).Results A total of 802 patients were randomly assigned to receive durvalumab (400 patients) or placebo (402 patients). The duration of event-free survival was significantly longer with durvalumab than with placebo; the stratified hazard ratio for disease progression, recurrence, or death was 0.68 (95% confidence interval [CI], 0.53 to 0.88; P=0.004) at the first interim analysis. At the 12-month landmark analysis, event-free survival was observed in 73.4% of the patients who received durvalumab (95% CI, 67.9 to 78.1), as compared with 64.5% of the patients who received placebo (95% CI, 58.8 to 69.6). The incidence of pathological complete response was significantly greater with durvalumab than with placebo (17.2% vs. 4.3% at the final analysis; difference, 13.0 percentage points; 95% CI, 8.7 to 17.6; P<0.001 at interim analysis of data from 402 patients). Event-free survival and pathological complete response benefit were observed regardless of stage and PD-L1 expression. Adverse events of maximum grade 3 or 4 occurred in 42.4% of patients with durvalumab and in 43.2% with placebo. Data from 62 patients with documented EGFR or ALK alterations were excluded from the efficacy analyses in the modified intention-to-treat population.Conclusions In patients with resectable NSCLC, perioperative durvalumab plus neoadjuvant chemotherapy was associated with significantly greater event-free survival and pathological complete response than neoadjuvant chemotherapy alone, with a safety profile that was consistent with the individual agents. (Funded by AstraZeneca; AEGEAN ClinicalTrials.gov number, NCT03800134.) LA - English DB - MTMT ER - TY - JOUR AU - Ostoros, Gyula AU - Hettle, Robert AU - Georgoulia, Nefeli AU - Berktas, Mehmet AU - Chander, Pratibha AU - Diaz Perez, Ignacio AU - Couto, Anne-Marie AU - Eichinger, Christian AU - Field, Polly AU - Morten, Peter TI - Association between event-free survival and overall survival after neoadjuvant treatment for non-small cell lung cancer: a systematic review and meta-analysis JF - EXPERT REVIEW OF ANTICANCER THERAPY J2 - EXPERT REV ANTICANC VL - 23 PY - 2023 IS - 12 SP - 1305 EP - 1313 PG - 9 SN - 1473-7140 DO - 10.1080/14737140.2023.2272645 UR - https://m2.mtmt.hu/api/publication/36063902 ID - 36063902 LA - English DB - MTMT ER - TY - JOUR AU - Bogos, Krisztina AU - Török, Szilvia AU - Pucsok, Mariann AU - Cselkó, Zsuzsa AU - Rényi-Vámos, Ferenc István AU - Ostoros, Gyula AU - Döme, Balázs AU - Megyesfalvi, Zsolt TI - Covid-19-fertőzés klinikai jelentősége tüdőrák és egyéb malignus mellkasi daganatok esetén JF - MAGYAR ONKOLÓGIA J2 - MAGYAR ONKOLÓGIA VL - 66 PY - 2022 IS - 1 SP - 43 EP - 49 PG - 7 SN - 0025-0244 UR - https://m2.mtmt.hu/api/publication/32773913 ID - 32773913 N1 - Megosztott utolsó szerzők: Döme Balázs, Megyesfalvi Zsolt AB - The COVID-19 pandemic has posed significant challenges to healthcare systems worldwide. Patients with cancer, and particularly those with lung malignancies, represent a highrisk group for COVID-19 since they are more susceptible to infection and have a higher risk of severe outcomes. However, the restructuration of the healthcare environment, the development of guidelines for treatment and surveillance, and the improvement of vaccination coverage allowed adequate patient shielding and continuity of oncological care of cancer patients. By shedding light on the characteristics of COVID-19 patients with thoracic malignancies, recent studies also contributed to the development of personalized therapeutic strategies. Accordingly, several determinants were identified to predict disease outcomes. These include the ECOG performance status, the levels of C-reactive protein, neutrophils and procalcitonin, the disease stage, and the presence of pneumonia. COVID-19 vaccines are safe in patients with lung cancer. In order to obtain adequate immunization, the booster dose is recommended in these patients. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Tamási, Lilla AU - Horváth, Krisztián AU - Kiss, Zoltán AU - Bogos, Krisztina AU - Ostoros, Gyula AU - Müller, Veronika AU - Urbán, László AU - Bittner, Nóra AU - Sárosi, Veronika AU - Vastag, Aladár AU - Polányi, Zoltán AU - Nagy-Erdei, Zsófia AU - Daniel, Andrea AU - Nagy, Balázs AU - Rokszin, György Aurél AU - Abonyi-Tóth, Zsolt AU - Moldvay, Judit AU - Vokó, Zoltán AU - Gálffy, Gabriella TI - Age and Gender Specific Lung Cancer Incidence and Mortality in Hungary: Trends from 2011 Through 2016 JF - PATHOLOGY AND ONCOLOGY RESEARCH J2 - PATHOL ONCOL RES VL - 27 PY - 2021 PG - 9 SN - 1219-4956 DO - 10.3389/pore.2021.598862 UR - https://m2.mtmt.hu/api/publication/31995461 ID - 31995461 N1 - * Megosztott szerzőség LA - English DB - MTMT ER - TY - JOUR AU - Bogos, Krisztina AU - Gálffy, Gabriella AU - Kiss, Z. AU - Tamási, Lilla AU - Ostoros, Gyula AU - Müller, Veronika AU - Urbán, László AU - Bittner, Nóra AU - Sárosi, Veronika AU - Vastag, A. AU - Polanyi, Z. AU - Daniel, A. AU - Nagy, Balázs AU - Rokszin, G. AU - Abonyi-Tóth, Zsolt AU - Barcza, Z. AU - Moldvay, Judit AU - Vokó, Zoltán TI - Analysis of lung cancer patient pathway: A 6-year nationwide analysis from Hungary JF - JOURNAL OF THORACIC ONCOLOGY J2 - J THORAC ONCOL VL - 16 PY - 2021 IS - 4 SP - S718 EP - S718 PG - 1 SN - 1556-0864 UR - https://m2.mtmt.hu/api/publication/31997319 ID - 31997319 LA - English DB - MTMT ER - TY - JOUR AU - Bogos, Krisztina AU - Kiss, Zoltan AU - Tamási, Lilla AU - Ostoros, Gyula AU - Müller, Veronika AU - Urbán, László AU - Bittner, Nóra AU - Sárosi, Veronika AU - Vastag, Aladar AU - Polanyi, Zoltan AU - Nagy-Erdei, Zsofia AU - Daniel, Andrea AU - Vokó, Zoltán AU - Nagy, Balázs AU - Horvath, Krisztian AU - Rokszin, György Aurél AU - Abonyi-Tóth, Zsolt AU - Barcza, Zsofia AU - Gálffy, Gabriella AU - Moldvay, Judit TI - Improvement in Lung Cancer Survival: 6-Year Trends of Overall Survival at Hungarian Patients Diagnosed in 2011–2016 JF - PATHOLOGY AND ONCOLOGY RESEARCH J2 - PATHOL ONCOL RES VL - 27 PY - 2021 PG - 9 SN - 1219-4956 DO - 10.3389/pore.2021.603937 UR - https://m2.mtmt.hu/api/publication/32037582 ID - 32037582 AB - Objective: Lung cancer is one of the most common cancers worldwide and its survival is still poor. The objective of our study was to estimate long-term survival of Hungarian lung cancer patients at first time based on a nationwide review of the National Health Insurance Fund database. Methods: Our retrospective, longitudinal study included patients aged >= 20 years who were diagnosed with lung cancer (ICD-10 C34) between January 1, 2011 and December 31, 2016. Survival rates were evaluated by year of diagnosis, patient gender and age, and morphology of lung cancer. Results: 41,854 newly diagnosed lung cancer patients were recorded. Mean age at diagnosis varied between 64.7 and 65.9 years during study period. One- and 5-year overall survival rates for the total population were 42.2 and 17.9%, respectively. Survival was statistically associated with gender, age and type of lung cancer. Female patients (n = 16,362) had 23% better survival (HR: 0.77, 95% confidence interval (CI): 0.75-0.79; p < 0.001) than males (n = 25,492). The highest survival rates were found in the 20-49 age cohort (5Y = 31.3%) and if the cancer type was adenocarcinoma (5Y = 20.5%). We measured 5.3% improvement (9.2% adjusted) in lung cancer survival comparing the period 2015-2016 to 2011-2012 (HR: 0.95 95% CI: 0.92-0.97; p = 0.003), the highest at females <60 year (0.86 (adjusted HR was 0.79), interaction analysis was significant for age and histology types. Conclusion: Our study provided long-term Lung cancer survival data in Hungary for the first time. We found a 5.3% improvement in 5-year survival in 4 years. Women and young patients had better survival. Survival rates were comparable to-and at the higher end of-rates registered in other East-Central European countries (7.7%-15.7%). LA - English DB - MTMT ER - TY - JOUR AU - de, Marinis F. AU - Laktionov, K.K. AU - Poltoratskiy, A. AU - Egorova, I. AU - Hochmair, M. AU - Passaro, A. AU - Migliorino, M.R. AU - Metro, G. AU - Gottfried, M. AU - Tsoi, D. AU - Ostoros, Gyula AU - Rizzato, S. AU - Mukhametshina, G.Z. AU - Schumacher, M. AU - Novello, S. AU - Dziadziuszko, R. AU - Tang, W. AU - Clementi, L. AU - Cseh, A. AU - Kowalski, D. TI - Afatinib in EGFR TKI-naïve patients with locally advanced or metastatic EGFR mutation-positive non-small cell lung cancer: Interim analysis of a Phase 3b study JF - LUNG CANCER J2 - LUNG CANCER-J IASLC VL - 152 PY - 2021 SP - 127 EP - 134 PG - 8 SN - 0169-5002 DO - 10.1016/j.lungcan.2020.12.011 UR - https://m2.mtmt.hu/api/publication/32172360 ID - 32172360 N1 - Cited By :1 Export Date: 2 September 2021 LA - English DB - MTMT ER -