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001-es BibID:	BIBFORM123748
035-os BibID:	(scopus)85196072419 (wos)001248382500001
Első szerző:	Gálffy Gabriella
Cím:	Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources / Gálffy Gabriella, Szabó Géza Tamás, Tamási Lilla, Müller Veronika, Moldvay Judit, Sárosi Veronika, Kerpel-Fronius Anna, Kardos Tamás, Csada Edit, Pápai-Székely Zsolt, Szász Zoltán, Király Zsolt, Hódi Gábor, Kovács Zsuzsanna, Balogh Éva, Kovács Krisztina Andrea, Darida Miklós, Buga Viktória, Rokszin György, Abonyi-Tóth Zsolt, Kiss Zoltán, Vokó Zoltán, Bogos Krisztina
Dátum:	2024
ISSN:	1219-4956 1532-2807
Megjegyzések:	Objective: Hungary has repeatedly been shown to have the highest cancer-related mortality and incidence in Europe. Despite lung cancer being the most abundant malignant diagnosis in Hungary, numerous concerns have been raised recently regarding the bias inherent to reported incidence estimates. Re-analysis of reimbursement claims has been suggested previously by our group as an alternative approach, offering revised figures of lung cancer incidence between 2011 and 2016. Leveraging on this methodology, we aimed at updating Hungarian lung cancer incidence estimates with an additional 5 years (2017?2021), including years affected by the COVID-19 pandemic. Additionally, we also attempted to improve the robustness of estimates by taking additional characteristics of the patient pathway into account. Methods: Lung cancer patients between 2011 and 2021 were identified based on reimbursement-associated ICD-10 codes, histology codes and time patterns. Multiple query architectures were tested for sensitivity and compared to official estimates of the Hungarian National Cancer Registry (HNCR). Epidemiological trends were estimated by Poisson-regression, corrected for age and sex. Results: A total of 89,948 lung cancer patients diagnosed in Hungary between 2011 and 2021 have been identified by our study. In 2019 alone, 7,887 patients were diagnosed according to our optimized query. ESP2013 standardized rate was estimated between 92.5/100,000 (2011) and 78.4/100,000 (2019). In 2019, standardized incidence was 106.8/100,000 for men and 59.7/100,000 for women. Up until the COVID-19 pandemic, lung cancer incidence was decreasing by 3.18% (2.1%?4.3%) yearly in men, while there was no significant decrease in women. Young age groups (40?49 and 50?59) featured the largest improvement, but women aged 60?79 are at an increasing risk for developing lung cancer. The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50?59 age group (both sexes). Conclusion: Our results show that using an optimized approach, re-analysis of reimbursement claims yields robust estimates of lung cancer incidence. According to this approach, the incidence rate of male lung cancer is declining in Hungary, in concordance with the trend observed for lung cancer mortality. Among women aged 60?79, the incidence of lung cancer has risen, requiring more attention in the near future. Copyright ? 2024 Gálffy, Szabó, Tamási, Müller, Moldvay, Sárosi, Kerpel-Fronius, Kardos, Csada, Pápai-Székely, Szász, Király, Hódi, Kovács, Balogh, Kovács, Darida, Buga, Rokszin, Abonyi-Tóth, Kiss, Vokó and Bogos.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk COVID-19 Hungary incidence lung cancer mortality
Megjelenés:	Pathology & Oncology Research. - 30 (2024), p. 1-11. -
További szerzők:	Szabó Géza Tamás Tamási Lilla Müller Veronika Moldvay Judit Sárosi Veronika Kerpel-Fronius Anna Kardos Tamás (1980-) (pulmonológus, klinikai onkológus) Csada Edit Pápai-Székely Zsolt Szász Zoltán Király Zsolt Hódi Gábor Kovács Zsuzsanna Balogh Éva Kovács Krisztina Andrea Darida Miklós Buga Viktória Rokszin György Abonyi-Tóth Zsolt Kiss Zoltán (Pécs) Vokó Zoltán (1968-) (epidemiológus) Bogos Krisztina
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001-es BibID:	BIBFORM111963
035-os BibID:	(Scopus)85165521769
Első szerző:	Lázár József
Cím:	Large-scale plasma proteome epitome profiling is an efficient tool for the discovery of cancer biomarkers / Lazar Jozsef, Antal-Szalmas Peter, Kurucz Istvan, Ferenczi Annamaria, Jozsi Mihaly, Tornyi Ilona, Muller Monika, Fekete Janos Tibor, Lamont John, FitzGerald Peter, Gall-Debreceni Anna, Kadas Janos, Vida Andras, Tardieu Nadege, Kieffer Yann, Jullien Anne, Guergova-Kuras Mariana, Hempel William, Kovacs Andras, Kardos Tamas, Bittner Nora, Csanky Eszter, Szilasi Maria, Losonczy Gyorgy, Szondy Klara, Galffy Gabriella, Csada Edit, Szalontai Klara, Somfay Attila, Malka David, Cottu Paul, Bogos Krisztina, Takacs Laszlo
Dátum:	2023
ISSN:	1535-9476
Megjegyzések:	Current proteomic technologies focus on the quantification of protein levels, while little effort is dedicated to the development of systems approaches to simultaneously monitor proteome variability and abundance. Protein variants may display different immunogenic epitopes detectable by monoclonal antibodies. Epitope variability results from alternative splicing, posttranslational modifications, processing, degradation, and complex formation and possess dynamically changing availability of interacting surface structures frequently serve as reachable epitopes, and often carry different functions. Thus, it is highly likely, that the presence of some of the accessible epitopes correlate with function under physiological and pathological conditions. To enable the exploration of the impact of protein variation on the immunogenic epitome first; here, we present a robust and analytically validated protein epitome profiling (PEP) technology for characterizing immunogenic epitopes of the plasma. To this end we prepared mAb libraries directed against the normalized human plasma proteome as a complex natural immunogen. Resulting hybridoma supernatants were selected for mAb production and the corresponding hybridomas were cloned. Monoclonal antibodies react with single epitopes, thus profiling with the libraries is expected to profile many epitopes which we define by the mimotopes, as we present here. Screening blood plasma samples from control subjects (n = 558) and cancer patients (n = 598) for merely 69 native epitopes displayed by 20 abundant plasma proteins resulted in distinct cancer-specific epitope panels that showed high accuracy (AUC 0.826?0.966) and specificity for lung, breast, and colon cancer. Deeper profiling (?290 epitopes of approximately 100 proteins) showed unexpected granularity of the epitope-level expression data and detected neutral and lung-cancer associated epitopes of individual proteins. Biomarker epitope panels selected from a pool of 21 epitopes of 12 proteins were validated in independent clinical cohorts. The results demonstrate the value of PEP as a rich and thus far unexplored source of protein biomarkers with diagnostic potential.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Molecular & Cellular Proteomics. - 22 : 7 (2023), p. 1-18. -
További szerzők:	Antal-Szalmás Péter (1968-) (laboratóriumi szakorvos) Kurucz István Ferenczi Annamária (1986-) (molekuláris biológus, mikrobiológus) Józsi Mihály Tornyi Ilona (1982-) (molekuláris biológus) Müller Mónika Fekete János Tibor Lamont, John FitzGerald, Peter Gall-Debreceni Anna Kádas János (1976-) (molekuláris biológus, biokémikus, kertészmérnök) Vida András (1979-) (molekuláris biológus, genetikus) Tardieu, Nadège Kieffer, Yann Jullien, Anne Guergova-Kuras, Mariana Hempel, William Kovács András László (1969-) (biológus, biológia-kémia tanár) Kardos Tamás (1980-) (pulmonológus, klinikai onkológus) Bittner Nóra (1963-) (orvos) Csánky Eszter (1959-) (tüdőgyógyász, klinikai immunológus, allergológus) Szilasi Mária (1953-) (tüdőgyógyász, klinikai immunológus, allergológus, belgyógyász) Losonczy György Szondy Klára Gálffy Gabriella Csada Edit Szalontai Klára Somfay Attila Malka, David Cottu, Paul Bogos Krisztina Takács László (1955-) (genombiológus, immunológus)
Pályázati támogatás:	TECH-09-A1-2009-0113; mAbCHIC Egyéb GOP-1.2.1-09-2010-0019 Egyéb
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