„Najistotniejsza kwestia, jaka może być”. Odpowiedź na artykuł E.A.J. Honigmanna

This text is a reply to E.A.J. Honigmann and presents another point of view on Shakespeare’s Catholicism. H. Hammerschmidt-Hummel defends her thesis and tries to convince that her book is based on reliable studies and historical sources. She proves that a secret Catholic code in his plays is the most important key to understanding his whole output. Her arguments are based on two evidences: the known or presumed “Catholic sympathies” of the dramatist’s family, friends and patrons and the “Catholic attitudes” embedded in the plays.This text is a reply to E.A.J. Honigmann and presents another point of view on Shakespeare’s Catholicism. H. Hammerschmidt-Hummel defends her thesis and tries to convince that her book is based on reliable studies and historical sources. She proves that a secret Catholic code in his plays is the most important key to understanding his whole output. Her arguments are based on two evidences: the known or presumed “Catholic sympathies” of the dramatist’s family, friends and patrons and the “Catholic attitudes” embedded in the plays

”The most important subject that can possibly be”. A response to E.A.J. Honigmann’s article

This text is a reply to E.A.J. Honigmann and presents another point of view on Shakespeare’s Catholicism. H. Hammerschmidt-Hummel defends her thesis and tries to convince that her book is based on reliable studies and historical sources. She proves that a secret Catholic code in his plays is the most important key to understanding his whole output. Her arguments are based on two evidences: the known or presumed “Catholic sympathies” of the dramatist’s family, friends and patrons and the “Catholic attitudes” embedded in the plays

DNA methylation-based classification of sinonasal tumors

The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply a machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, one class composed of highly aggressive SMARCB1-deficient carcinomas and another class with tumors that represent potentially previously misclassified adenoid cystic carcinomas. Our findings can aid in improving the diagnostic classification of sinonasal tumors and could help to change the current perception of SNUCs

DNA methylation-based classification of sinonasal tumors

The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of various differential diagnoses as well as poorly defined, disputed entities such as sinonasal undifferentiated carcinomas (SNUCs). In this study, we apply a machine learning algorithm based on DNA methylation patterns to classify sinonasal tumors with clinical-grade reliability. We further show that sinonasal tumors with SNUC morphology are not as undifferentiated as their current terminology suggests but rather reassigned to four distinct molecular classes defined by epigenetic, mutational and proteomic profiles. This includes two classes with neuroendocrine differentiation, characterized by IDH2 or SMARCA4/ARID1A mutations with an overall favorable clinical course, one class composed of highly aggressive SMARCB1-deficient carcinomas and another class with tumors that represent potentially previously misclassified adenoid cystic carcinomas. Our findings can aid in improving the diagnostic classification of sinonasal tumors and could help to change the current perception of SNUCs