@article{LoddeForschnerHasseletal.2021, author = {Lodde, Georg and Forschner, Andrea and Hassel, Jessica and Wulfken, Lena M. and Meier, Friedegund and Mohr, Peter and K{\"a}hler, Katharina and Schilling, Bastian and Loquai, Carmen and Berking, Carola and H{\"u}ning, Svea and Schatton, Kerstin and Gebhardt, Christoffer and Eckardt, Julia and Gutzmer, Ralf and Reinhardt, Lydia and Glutsch, Valerie and Nikfarjam, Ulrike and Erdmann, Michael and Stang, Andreas and Kowall, Bernd and Roesch, Alexander and Ugurel, Selma and Zimmer, Lisa and Schadendorf, Dirk and Livingstone, Elisabeth}, title = {Factors influencing the adjuvant therapy decision: results of a real-world multicenter data analysis of 904 melanoma patients}, series = {Cancers}, volume = {13}, journal = {Cancers}, number = {10}, issn = {2072-6694}, doi = {10.3390/cancers13102319}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-239583}, year = {2021}, abstract = {Adjuvant treatment of melanoma patients with immune-checkpoint inhibition (ICI) and targeted therapy (TT) significantly improved recurrence-free survival. This study investigates the real-world situation of 904 patients from 13 German skin cancer centers with an indication for adjuvant treatment since the approval of adjuvant ICI and TT. From adjusted log-binomial regression models, we estimated relative risks for associations between various influence factors and treatment decisions (adjuvant therapy yes/no, TT vs. ICI in BRAF mutant patients). Of these patients, 76.9\% (95\% CI 74-80) opted for a systemic adjuvant treatment. The probability of starting an adjuvant treatment was 26\% lower in patients >65 years (RR 0.74, 95\% CI 68-80). The most common reasons against adjuvant treatment given by patients were age (29.4\%, 95\% CI 24-38), and fear of adverse events (21.1\%, 95\% CI 16-28) and impaired quality of life (11.9\%, 95\% CI 7-16). Of all BRAF-mutated patients who opted for adjuvant treatment, 52.9\% (95\% CI 47-59) decided for ICI. Treatment decision for TT or ICI was barely associated with age, gender and tumor stage, but with comorbidities and affiliated center. Shortly after their approval, adjuvant treatments have been well accepted by physicians and patients. Age plays a decisive role in the decision for adjuvant treatment, while pre-existing autoimmune disease and regional differences influence the choice between TT or ICI.}, language = {en} } @article{MetzenmacherVaraljaiHegeduesetal.2020, author = {Metzenmacher, Martin and V{\´a}raljai, Ren{\´a}ta and Heged{\"u}s, Balazs and Cima, Igor and Forster, Jan and Schramm, Alexander and Scheffler, Bj{\"o}rn and Horn, Peter A. and Klein, Christoph A. and Szarvas, Tibor and Reis, Hennig and Bielefeld, Nicola and Roesch, Alexander and Aigner, Clemens and Kunzmann, Volker and Wiesweg, Marcel and Siveke, Jens T. and Schuler, Martin and Lueong, Smiths S.}, title = {Plasma Next Generation Sequencing and Droplet Digital-qPCR-Based Quantification of Circulating Cell-Free RNA for Noninvasive Early Detection of Cancer}, series = {Cancers}, volume = {12}, journal = {Cancers}, number = {2}, issn = {2072-6694}, doi = {10.3390/cancers12020353}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200553}, year = {2020}, abstract = {Early detection of cancer holds high promise for reducing cancer-related mortality. Detection of circulating tumor-specific nucleic acids holds promise, but sensitivity and specificity issues remain with current technology. We studied cell-free RNA (cfRNA) in patients with non-small cell lung cancer (NSCLC; n = 56 stage IV, n = 39 stages I-III), pancreatic cancer (PDAC, n = 20 stage III), malignant melanoma (MM, n = 12 stage III-IV), urothelial bladder cancer (UBC, n = 22 stage II and IV), and 65 healthy controls by means of next generation sequencing (NGS) and real-time droplet digital PCR (RT-ddPCR). We identified 192 overlapping upregulated transcripts in NSCLC and PDAC by NGS, more than 90\% of which were noncoding. Previously reported transcripts (e.g., HOTAIRM1) were identified. Plasma cfRNA transcript levels of POU6F2-AS2 discriminated NSCLC from healthy donors (AUC = 0.82 and 0.76 for stages IV and I-III, respectively) and significantly associated (p = 0.017) with the established tumor marker Cyfra 21-1. cfRNA yield and POU6F2-AS transcript abundance discriminated PDAC patients from healthy donors (AUC = 1.0). POU6F2-AS2 transcript was significantly higher in MM (p = 0.044). In summary, our findings support further validation of cfRNA detection by RT-ddPCR as a biomarker for early detection of solid cancers.}, language = {en} }