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Pancreatic Neoplasms: HELP
Articles by A. Schmitt
Based on 2 articles published since 2010
(Why 2 articles?)
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Between 2010 and 2020, A. Schmitt wrote the following 2 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Hypo-methylation mediates chromosomal instability in pancreatic NET. 2017

Marinoni, I / Wiederkeher, A / Wiedmer, T / Pantasis, S / Di Domenico, A / Frank, R / Vassella, E / Schmitt, A / Perren, A. ·Institute of PathologyUniversity of Bern, Bern, Switzerland Ilaria.marinoni@pathology.unibe.ch. · Institute of PathologyUniversity of Bern, Bern, Switzerland. · GCB Graduate School BernBern, Switzerland. ·Endocr Relat Cancer · Pubmed #28115389.

ABSTRACT: DAXX and or ATRX loss occur in 40% of pancreatic neuroendocrine tumors (PanNETs). PanNETs negative for DAXX or ATRX show an increased risk of relapse. The tumor-associated pathways activated upon DAXX or ATRX loss and how this event may induce chromosomal instability (CIN) and alternative lengthening telomeres (ALT) are still unknown. Both DAXX and ATRX are involved in DNA methylation regulation. DNA methylation of heterochromatin and of non-coding sequences is extremely important for the maintenance of genomic stability. We analyzed the association of DAXX and/or ATRX loss and CIN with global DNA methylation in human PanNET samples and the effect of DAXX knock-down on methylation and cell proliferation. We assessed

2 Article TNM staging of neoplasms of the endocrine pancreas: results from a large international cohort study. 2012

Rindi, G / Falconi, M / Klersy, C / Albarello, L / Boninsegna, L / Buchler, M W / Capella, C / Caplin, M / Couvelard, A / Doglioni, C / Delle Fave, G / Fischer, L / Fusai, G / de Herder, W W / Jann, H / Komminoth, P / de Krijger, R R / La Rosa, S / Luong, T V / Pape, U / Perren, A / Ruszniewski, P / Scarpa, A / Schmitt, A / Solcia, E / Wiedenmann, B. ·Institute of Anatomic Pathology, Universit√† Cattolica del Sacro Cuore, Histopathology and Cytodiagnosis Unit, Policlinico Gemelli, Largo A. Gemelli, 8, Roma I-00168, Italy. guido.rindi@rm.unicatt.it ·J Natl Cancer Inst · Pubmed #22525418.

ABSTRACT: BACKGROUND: Both the European Neuroendocrine Tumor Society (ENETS) and the International Union for Cancer Control/American Joint Cancer Committee/World Health Organization (UICC/AJCC/WHO) have proposed TNM staging systems for pancreatic neuroendocrine neoplasms. This study aims to identify the most accurate and useful TNM system for pancreatic neuroendocrine neoplasms. METHODS: The study included 1072 patients who had undergone previous surgery for their cancer and for which at least 2 years of follow-up from 1990 to 2007 was available. Data on 28 variables were collected, and the performance of the two TNM staging systems was compared by Cox regression analysis and multivariable analyses. All statistical tests were two-sided. RESULTS: Differences in distribution of sex and age were observed for the ENETS TNM staging system. At Cox regression analysis, only the ENETS TNM staging system perfectly allocated patients into four statistically significantly different and equally populated risk groups (with stage I as the reference; stage II hazard ratio [HR] of death = 16.23, 95% confidence interval [CI] = 2.14 to 123, P = .007; stage III HR of death = 51.81, 95% CI = 7.11 to 377, P < .001; and stage IV HR of death = 160, 95% CI = 22.30 to 1143, P < .001). However, the UICC/AJCC/WHO 2010 TNM staging system compressed the disease into three differently populated classes, with most patients in stage I, and with the patients being equally distributed into stages II-III (statistically similar) and IV (with stage I as the reference; stage II HR of death = 9.57, 95% CI = 4.62 to 19.88, P < .001; stage III HR of death = 9.32, 95% CI = 3.69 to 23.53, P = .94; and stage IV HR of death = 30.84, 95% CI = 15.62 to 60.87, P < .001). Multivariable modeling indicated curative surgery, TNM staging, and grading were effective predictors of death, and grading was the second most effective independent predictor of survival in the absence of staging information. Though both TNM staging systems were independent predictors of survival, the UICC/AJCC/WHO 2010 TNM stages showed very large 95% confidence intervals for each stage, indicating an inaccurate predictive ability. CONCLUSION: Our data suggest the ENETS TNM staging system is superior to the UICC/AJCC/WHO 2010 TNM staging system and supports its use in clinical practice.