TY  - JOUR
A1  - Kunz, Meik
A1  - Göttlich, Claudia
A1  - Walles, Thorsten
A1  - Nietzer, Sarah
A1  - Dandekar, Gudrun
A1  - Dandekar, Thomas
T1  - MicroRNA-21 versus microRNA-34: Lung cancer promoting and inhibitory microRNAs analysed in silico and in vitro and their clinical impact
JF  - Tumor Biology
N2  - MicroRNAs are well-known strong RNA regulators modulating whole functional units in complex signaling networks. Regarding clinical application, they have potential as biomarkers for prognosis, diagnosis, and therapy. In this review, we focus on two microRNAs centrally involved in lung cancer progression. MicroRNA-21 promotes and microRNA-34 inhibits cancer progression. We elucidate here involved pathways and imbed these antagonistic microRNAs in a network of interactions, stressing their cancer microRNA biology, followed by experimental and bioinformatics analysis of such microRNAs and their targets. This background is then illuminated from a clinical perspective on microRNA-21 and microRNA-34 as general examples for the complex microRNA biology in lung cancer and its diagnostic value. Moreover, we discuss the immense potential that microRNAs such as microRNA-21 and microRNA-34 imply by their broad regulatory effects. These should be explored for novel therapeutic strategies in the clinic.
KW  - biomarker
KW  - microRNA–target interaction
KW  - microRNAs
KW  - lung cancer
KW  - therapeutic strategy
KW  - bioinformatics
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-158399
VL  - 39
IS  - 7
ER  - 
TY  - JOUR
A1  - Peindl, Matthias
A1  - Göttlich, Claudia
A1  - Crouch, Samantha
A1  - Hoff, Niklas
A1  - Lüttgens, Tamara
A1  - Schmitt, Franziska
A1  - Pereira, Jesús Guillermo Nieves
A1  - May, Celina
A1  - Schliermann, Anna
A1  - Kronenthaler, Corinna
A1  - Cheufou, Danjouma
A1  - Reu-Hofer, Simone
A1  - Rosenwald, Andreas
A1  - Weigl, Elena
A1  - Walles, Thorsten
A1  - Schüler, Julia
A1  - Dandekar, Thomas
A1  - Nietzer, Sarah
A1  - Dandekar, Gudrun
T1  - EMT, stemness, and drug resistance in biological context: a 3D tumor tissue/in silico platform for analysis of combinatorial treatment in NSCLC with aggressive KRAS-biomarker signatures
JF  - Cancers
N2  - Epithelial-to-mesenchymal transition (EMT) is discussed to be centrally involved in invasion, stemness, and drug resistance. Experimental models to evaluate this process in its biological complexity are limited. To shed light on EMT impact and test drug response more reliably, we use a lung tumor test system based on a decellularized intestinal matrix showing more in vivo-like proliferation levels and enhanced expression of clinical markers and carcinogenesis-related genes. In our models, we found evidence for a correlation of EMT with drug resistance in primary and secondary resistant cells harboring KRAS\(^{G12C}\) or EGFR mutations, which was simulated in silico based on an optimized signaling network topology. Notably, drug resistance did not correlate with EMT status in KRAS-mutated patient-derived xenograft (PDX) cell lines, and drug efficacy was not affected by EMT induction via TGF-β. To investigate further determinants of drug response, we tested several drugs in combination with a KRAS\(^{G12C}\) inhibitor in KRAS\(^{G12C}\) mutant HCC44 models, which, besides EMT, display mutations in P53, LKB1, KEAP1, and high c-MYC expression. We identified an aurora-kinase A (AURKA) inhibitor as the most promising candidate. In our network, AURKA is a centrally linked hub to EMT, proliferation, apoptosis, LKB1, and c-MYC. This exemplifies our systemic analysis approach for clinical translation of biomarker signatures.
KW  - EMT
KW  - drug resistance
KW  - invasion
KW  - stemness
KW  - 3D lung tumor tissue models
KW  - KRAS biomarker signatures
KW  - boolean in silico models
KW  - targeted combination therapy
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-270744
SN  - 2072-6694
VL  - 14
IS  - 9
ER  -