TY  - JOUR
A1  - Huang, Bei
A1  - Belharazem, Djeda
A1  - Li, Li
A1  - Kneitz, Susanne
A1  - Schnabel, Philipp A.
A1  - Rieker, Ralf J.
A1  - Körner, Daniel
A1  - Nix, Wilfried
A1  - Schalke, Berthold
A1  - Müller-Hermelink, Hans Konrad
A1  - Ott, German
A1  - Rosenwald, Andreas
A1  - Ströbel, Philipp
A1  - Marx, Alexander
T1  - Anti-apoptotic signature in thymic squamous cell carcinomas – functional relevance of anti-apoptotic BIRC3 expression in the thymic carcinoma cell line 1889c
JF  - Frontiers in Oncology
N2  - The molecular pathogenesis of thymomas and thymic arcinomas (TCs) is poorly understood and results of adjuvant therapy are unsatisfactory in case of metastatic disease and tumor recurrence. For these clinical settings, novel therapeutic strategies are urgently needed. Recently, limited sequencing efforts revealed that a broad spectrum of genes that play key roles in various common cancers are rarely affected in thymomas and TCs, suggesting that other oncogenic principles might be important.This made us re-analyze historic expression data obtained in a spectrumof thymomas and thymic squamous cell carcinomas (TSCCs) with a custom-made cDNA microarray. By cluster analysis, different anti-apoptotic signatures were detected in type B3 thymoma and TSCC, including overexpression of BIRC3 in TSCCs. This was confirmed by qRT-PCR in the original and an independent validation set of tumors. In contrast to several other cancer cell lines, the BIRC3-positive TSCC cell line, 1889c showed spontaneous apoptosis after BIRC3 knock-down. Targeting apoptosis genes is worth testing as therapeutic principle in TSCC.
KW  - gene expression
KW  - MTCH2
KW  - targeted
KW  - myasthenia gravis
KW  - apoptosis
KW  - thymus
KW  - thymoma
KW  - thymic carcinoma
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-132214
VL  - 3
IS  - 316
ER  - 
TY  - JOUR
A1  - Trafimow, David
A1  - Amrhein, Valentin
A1  - Areshenkoff, Corson N.
A1  - Barrera-Causil, Carlos J.
A1  - Beh, Eric J.
A1  - Bilgiç, Yusuf K.
A1  - Bono, Roser
A1  - Bradley, Michael T.
A1  - Briggs, William M.
A1  - Cepeda-Freyre, Héctor A.
A1  - Chaigneau, Sergio E.
A1  - Ciocca, Daniel R.
A1  - Correa, Juan C.
A1  - Cousineau, Denis
A1  - de Boer, Michiel R.
A1  - Dhar, Subhra S.
A1  - Dolgov, Igor
A1  - Gómez-Benito, Juana
A1  - Grendar, Marian
A1  - Grice, James W.
A1  - Guerrero-Gimenez, Martin E.
A1  - Gutiérrez, Andrés
A1  - Huedo-Medina, Tania B.
A1  - Jaffe, Klaus
A1  - Janyan, Armina
A1  - Karimnezhad, Ali
A1  - Korner-Nievergelt, Fränzi
A1  - Kosugi, Koji
A1  - Lachmair, Martin
A1  - Ledesma, Rubén D.
A1  - Limongi, Roberto
A1  - Liuzza, Marco T.
A1  - Lombardo, Rosaria
A1  - Marks, Michael J.
A1  - Meinlschmidt, Gunther
A1  - Nalborczyk, Ladislas
A1  - Nguyen, Hung T.
A1  - Ospina, Raydonal
A1  - Perezgonzalez, Jose D.
A1  - Pfister, Roland
A1  - Rahona, Juan J.
A1  - Rodríguez-Medina, David A.
A1  - Romão, Xavier
A1  - Ruiz-Fernández, Susana
A1  - Suarez, Isabel
A1  - Tegethoff, Marion
A1  - Tejo, Mauricio
A1  - van de Schoot, Rens
A1  - Vankov, Ivan I.
A1  - Velasco-Forero, Santiago
A1  - Wang, Tonghui
A1  - Yamada, Yuki
A1  - Zoppino, Felipe C. M.
A1  - Marmolejo-Ramos, Fernando
T1  - Manipulating the Alpha Level Cannot Cure Significance Testing
JF  - Frontiers in Psychology
N2  - We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p-value threshold of 0.05, 0.01, 0.005, or anything else, is not acceptable.
KW  - statistical significance
KW  - null hypothesis testing
KW  - p-value
KW  - significance testing
KW  - decision making
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-189973
SN  - 1664-1078
VL  - 9
IS  - 699
ER  -