TY  - JOUR
A1  - Metzenmacher, Martin
A1  - Váraljai, Renáta
A1  - Hegedüs, Balazs
A1  - Cima, Igor
A1  - Forster, Jan
A1  - Schramm, Alexander
A1  - Scheffler, Björn
A1  - Horn, Peter A.
A1  - Klein, Christoph A.
A1  - Szarvas, Tibor
A1  - Reis, Hennig
A1  - Bielefeld, Nicola
A1  - Roesch, Alexander
A1  - Aigner, Clemens
A1  - Kunzmann, Volker
A1  - Wiesweg, Marcel
A1  - Siveke, Jens T.
A1  - Schuler, Martin
A1  - Lueong, Smiths S.
T1  - Plasma Next Generation Sequencing and Droplet Digital-qPCR-Based Quantification of Circulating Cell-Free RNA for Noninvasive Early Detection of Cancer
JF  - Cancers
N2  - 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.
KW  - liquid biopsy
KW  - cfRNA
KW  - cancer
KW  - ddPCR
KW  - NGS
KW  - POU6F2-AS2
KW  - early detection
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-200553
SN  - 2072-6694
VL  - 12
IS  - 2
ER  - 
TY  - JOUR
A1  - Lodde, Georg
A1  - Forschner, Andrea
A1  - Hassel, Jessica
A1  - Wulfken, Lena M.
A1  - Meier, Friedegund
A1  - Mohr, Peter
A1  - Kähler, Katharina
A1  - Schilling, Bastian
A1  - Loquai, Carmen
A1  - Berking, Carola
A1  - Hüning, Svea
A1  - Schatton, Kerstin
A1  - Gebhardt, Christoffer
A1  - Eckardt, Julia
A1  - Gutzmer, Ralf
A1  - Reinhardt, Lydia
A1  - Glutsch, Valerie
A1  - Nikfarjam, Ulrike
A1  - Erdmann, Michael
A1  - Stang, Andreas
A1  - Kowall, Bernd
A1  - Roesch, Alexander
A1  - Ugurel, Selma
A1  - Zimmer, Lisa
A1  - Schadendorf, Dirk
A1  - Livingstone, Elisabeth
T1  - Factors influencing the adjuvant therapy decision: results of a real-world multicenter data analysis of 904 melanoma patients
JF  - Cancers
N2  - 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.
KW  - melanoma
KW  - adjuvant treatment
KW  - checkpoint blocker
KW  - targeted therapy
KW  - BRAF
KW  - PD-1
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-239583
SN  - 2072-6694
VL  - 13
IS  - 10
ER  -