@article{WaszakNorthcottBuchhalteretal.2018,
  author    = {Waszak, Sebastian M and Northcott, Paul A and Buchhalter, Ivo and Robinson, Giles W and Sutter, Christian and Groebner, Susanne and Grund, Kerstin B and Brugi{\`e}res, Laurence and Jones, David T W and Pajtler, Kristian W and Morrissy, A Sorana and Kool, Marcel and Sturm, Dominik and Chavez, Lukas and Ernst, Aurelie and Brabetz, Sebastian and Hain, Michael and Zichner, Thomas and Segura-Wang, Maia and Weischenfeldt, Joachim and Rausch, Tobias and Mardin, Balca R and Zhou, Xin and Baciu, Cristina and Lawerenz, Christian and Chan, Jennifer A and Varlet, Pascale and Guerrini-Rousseau, Lea and Fults, Daniel W and Grajkowska, Wiesława and Hauser, Peter and Jabado, Nada and Ra, Young-Shin and Zitterbart, Karel and Shringarpure, Suyash S and De La Vega, Francisco M and Bustamante, Carlos D and Ng, Ho-Keung and Perry, Arie and MacDonald, Tobey J and Driever, Pablo Hern{\´a}iz and Bendel, Anne E and Bowers, Daniel C and McCowage, Geoffrey and Chintagumpala, Murali M and Cohn, Richard and Hassall, Timothy and Fleischhack, Gudrun and Eggen, Tone and Wesenberg, Finn and Feychting, Maria and Lannering, Birgitta and Sch{\"u}z, Joachim and Johansen, Christoffer and Andersen, Tina V and R{\"o}{\"o}sli, Martin and Kuehni, Claudia E and Grotzer, Michael and Kjaerheim, Kristina and Monoranu, Camelia M and Archer, Tenley C and Duke, Elizabeth and Pomeroy, Scott L and Shelagh, Redmond and Frank, Stephan and Sumerauer, David and Scheurlen, Wolfram and Ryzhova, Marina V and Milde, Till and Kratz, Christian P and Samuel, David and Zhang, Jinghui and Solomon, David A and Marra, Marco and Eils, Roland and Bartram, Claus R and von Hoff, Katja and Rutkowksi, Stefan and Ramaswamy, Vijay and Gilbertson, Richard J and Korshunov, Andrey and Taylor, Michael D and Lichter, Peter and Malkin, David and Gajjar, Amar and Korbel, Jan O and Pfister, Stefan M},
  title     = {Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort},
  series = {The Lancet Oncology},
  volume    = {19},
  journal   = {The Lancet Oncology},
  doi       = {10.1016/S1470-2045(18)30242-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-233425},
  pages     = {785-798},
  year      = {2018},
  abstract  = {Background Medulloblastoma is associated with rare hereditary cancer predisposition syndromes; however, consensus medulloblastoma predisposition genes have not been defined and screening guidelines for genetic counselling and testing for paediatric patients are not available. We aimed to assess and define these genes to provide evidence for future screening guidelines. Methods In this international, multicentre study, we analysed patients with medulloblastoma from retrospective cohorts (International Cancer Genome Consortium [ICGC] PedBrain, Medulloblastoma Advanced Genomics International Consortium [MAGIC], and the CEFALO series) and from prospective cohorts from four clinical studies (SJMB03, SJMB12, SJYC07, and I-HIT-MED). Whole-genome sequences and exome sequences from blood and tumour samples were analysed for rare damaging germline mutations in cancer predisposition genes. DNA methylation profiling was done to determine consensus molecular subgroups: WNT (MBWNT), SHH (MBSHH), group 3 (MBGroup3), and group 4 (MBGroup4). Medulloblastoma predisposition genes were predicted on the basis of rare variant burden tests against controls without a cancer diagnosis from the Exome Aggregation Consortium (ExAC). Previously defined somatic mutational signatures were used to further classify medulloblastoma genomes into two groups, a clock-like group (signatures 1 and 5) and a homologous recombination repair deficiency-like group (signatures 3 and 8), and chromothripsis was investigated using previously established criteria. Progression-free survival and overall survival were modelled for patients with a genetic predisposition to medulloblastoma. Findings We included a total of 1022 patients with medulloblastoma from the retrospective cohorts (n=673) and the four prospective studies (n=349), from whom blood samples (n=1022) and tumour samples (n=800) were analysed for germline mutations in 110 cancer predisposition genes. In our rare variant burden analysis, we compared these against 53 105 sequenced controls from ExAC and identified APC, BRCA2, PALB2, PTCH1, SUFU, and TP53 as consensus medulloblastoma predisposition genes according to our rare variant burden analysis and estimated that germline mutations accounted for 6\% of medulloblastoma diagnoses in the retrospective cohort. The prevalence of genetic predispositions differed between molecular subgroups in the retrospective cohort and was highest for patients in the MBSHH subgroup (20\% in the retrospective cohort). These estimates were replicated in the prospective clinical cohort (germline mutations accounted for 5\% of medulloblastoma diagnoses, with the highest prevalence [14\%] in the MBSHH subgroup). Patients with germline APC mutations developed MBWNT and accounted for most (five [71\%] of seven) cases of MBWNT that had no somatic CTNNB1 exon 3 mutations. Patients with germline mutations in SUFU and PTCH1 mostly developed infant MBSHH. Germline TP53 mutations presented only in childhood patients in the MBSHH subgroup and explained more than half (eight [57\%] of 14) of all chromothripsis events in this subgroup. Germline mutations in PALB2 and BRCA2 were observed across the MBSHH, MBGroup3, and MBGroup4 molecular subgroups and were associated with mutational signatures typical of homologous recombination repair deficiency. In patients with a genetic predisposition to medulloblastoma, 5-year progression-free survival was 52\% (95\% CI 40-69) and 5-year overall survival was 65\% (95\% CI 52-81); these survival estimates differed significantly across patients with germline mutations in different medulloblastoma predisposition genes. Interpretation Genetic counselling and testing should be used as a standard-of-care procedure in patients with MBWNT and MBSHH because these patients have the highest prevalence of damaging germline mutations in known cancer predisposition genes. We propose criteria for routine genetic screening for patients with medulloblastoma based on clinical and molecular tumour characteristics.},
  language  = {en}
}
@article{BousquetAntoBachertetal.2021,
  author    = {Bousquet, Jean and Anto, Josep M. and Bachert, Claus and Haahtela, Tari and Zuberbier, Torsten and Czarlewski, Wienczyslawa and Bedbrook, Anna and Bosnic-Anticevich, Sinthia and Walter Canonica, G. and Cardona, Victoria and Costa, Elisio and Cruz, Alvaro A. and Erhola, Marina and Fokkens, Wytske J. and Fonseca, Joao A. and Illario, Maddalena and Ivancevich, Juan-Carlos and Jutel, Marek and Klimek, Ludger and Kuna, Piotr and Kvedariene, Violeta and Le, LTT and Larenas-Linnemann, D{\´e}sir{\´e}e E. and Laune, Daniel and Louren{\c{c}}o, Olga M. and Mel{\´e}n, Erik and Mullol, Joaquim and Niedoszytko, Marek and Odemyr, Mika{\"e}la and Okamoto, Yoshitaka and Papadopoulos, Nikos G. and Patella, Vincenzo and Pfaar, Oliver and Pham-Thi, Nh{\^a}n and Rolland, Christine and Samolinski, Boleslaw and Sheikh, Aziz and Sofiev, Mikhail and Suppli Ulrik, Charlotte and Todo-Bom, Ana and Tomazic, Peter-Valentin and Toppila-Salmi, Sanna and Tsiligianni, Ioanna and Valiulis, Arunas and Valovirta, Erkka and Ventura, Maria-Teresa and Walker, Samantha and Williams, Sian and Yorgancioglu, Arzu and Agache, Ioana and Akdis, Cezmi A. and Almeida, Rute and Ansotegui, Ignacio J. and Annesi-Maesano, Isabella and Arnavielhe, Sylvie and Basaga{\~n}a, Xavier and D. Bateman, Eric and B{\´e}dard, Annabelle and Bedolla-Barajas, Martin and Becker, Sven and Bennoor, Kazi S. and Benveniste, Samuel and Bergmann, Karl C. and Bewick, Michael and Bialek, Slawomir and E. Billo, Nils and Bindslev-Jensen, Carsten and Bjermer, Leif and Blain, Hubert and Bonini, Matteo and Bonniaud, Philippe and Bosse, Isabelle and Bouchard, Jacques and Boulet, Louis-Philippe and Bourret, Rodolphe and Boussery, Koen and Braido, Fluvio and Briedis, Vitalis and Briggs, Andrew and Brightling, Christopher E. and Brozek, Jan and Brusselle, Guy and Brussino, Luisa and Buhl, Roland and Buonaiuto, Roland and Calderon, Moises A. and Camargos, Paulo and Camuzat, Thierry and Caraballo, Luis and Carriazo, Ana-Maria and Carr, Warner and Cartier, Christine and Casale, Thomas and Cecchi, Lorenzo and Cepeda Sarabia, Alfonso M. and H. Chavannes, Niels and Chkhartishvili, Ekaterine and Chu, Derek K. and Cingi, Cemal and Correia de Sousa, Jaime and Costa, David J. and Courbis, Anne-Lise and Custovic, Adnan and Cvetkosvki, Biljana and D'Amato, Gennaro and da Silva, Jane and Dantas, Carina and Dokic, Dejan and Dauvilliers, Yves and De Feo, Giulia and De Vries, Govert and Devillier, Philippe and Di Capua, Stefania and Dray, Gerard and Dubakiene, Ruta and Durham, Stephen R. and Dykewicz, Mark and Ebisawa, Motohiro and Gaga, Mina and El-Gamal, Yehia and Heffler, Enrico and Emuzyte, Regina and Farrell, John and Fauquert, Jean-Luc and Fiocchi, Alessandro and Fink-Wagner, Antje and Fontaine, Jean-Fran{\c{c}}ois and Fuentes Perez, Jos{\´e} M. and Gemicioğlu, Bilun and Gamkrelidze, Amiran and Garcia-Aymerich, Judith and Gevaert, Philippe and Gomez, Ren{\´e} Maximiliano and Gonz{\´a}lez Diaz, Sandra and Gotua, Maia and Guldemond, Nick A. and Guzm{\´a}n, Maria-Antonieta and Hajjam, Jawad and Huerta Villalobos, Yunuen R. and Humbert, Marc and Iaccarino, Guido and Ierodiakonou, Despo and Iinuma, Tomohisa and Jassem, Ewa and Joos, Guy and Jung, Ki-Suck and Kaidashev, Igor and Kalayci, Omer and Kardas, Przemyslaw and Keil, Thomas and Khaitov, Musa and Khaltaev, Nikolai and Kleine-Tebbe, Jorg and Kouznetsov, Rostislav and Kowalski, Marek L. and Kritikos, Vicky and Kull, Inger and La Grutta, Stefania and Leonardini, Lisa and Ljungberg, Henrik and Lieberman, Philip and Lipworth, Brian and Lodrup Carlsen, Karin C. and Lopes-Pereira, Catarina and Loureiro, Claudia C. and Louis, Renaud and Mair, Alpana and Mahboub, Bassam and Makris, Micha{\"e}l and Malva, Joao and Manning, Patrick and Marshall, Gailen D. and Masjedi, Mohamed R. and Maspero, Jorge F. and Carreiro-Martins, Pedro and Makela, Mika and Mathieu-Dupas, Eve and Maurer, Marcus and De Manuel Keenoy, Esteban and Melo-Gomes, Elisabete and Meltzer, Eli O. and Menditto, Enrica and Mercier, Jacques and Micheli, Yann and Miculinic, Neven and Mihaltan, Florin and Milenkovic, Branislava and Mitsias, Dimitirios I. and Moda, Giuliana and Mogica-Martinez, Maria-Dolores and Mohammad, Yousser and Montefort, Steve and Monti, Ricardo and Morais-Almeida, Mario and M{\"o}sges, Ralph and M{\"u}nter, Lars and Muraro, Antonella and Murray, Ruth and Naclerio, Robert and Napoli, Luigi and Namazova-Baranova, Leyla and Neffen, Hugo and Nekam, Kristoff and Neou, Angelo and Nordlund, Bj{\"o}rn and Novellino, Ettore and Nyembue, Dieudonn{\´e} and O'Hehir, Robyn and Ohta, Ken and Okubo, Kimi and Onorato, Gabrielle L. and Orlando, Valentina and Ouedraogo, Solange and Palamarchuk, Julia and Pali-Sch{\"o}ll, Isabella and Panzner, Peter and Park, Hae-Sim and Passalacqua, Gianni and P{\´e}pin, Jean-Louis and Paulino, Ema and Pawankar, Ruby and Phillips, Jim and Picard, Robert and Pinnock, Hilary and Plavec, Davor and Popov, Todor A. and Portejoie, Fabienne and Price, David and Prokopakis, Emmanuel P. and Psarros, Fotis and Pugin, Benoit and Puggioni, Francesca and Quinones-Delgado, Pablo and Raciborski, Filip and Rajabian-S{\"o}derlund, Rojin and Regateiro, Frederico S. and Reitsma, Sietze and Rivero-Yeverino, Daniela and Roberts, Graham and Roche, Nicolas and Rodriguez-Zagal, Erendira and Rolland, Christine and Roller-Wirnsberger, Regina E. and Rosario, Nelson and Romano, Antonino and Rottem, Menachem and Ryan, Dermot and Salim{\"a}ki, Johanna and Sanchez-Borges, Mario M. and Sastre, Joaquin and Scadding, Glenis K. and Scheire, Sophie and Schmid-Grendelmeier, Peter and Sch{\"u}nemann, Holger J. and Sarquis Serpa, Faradiba and Shamji, Mohamed and Sisul, Juan-Carlos and Sofiev, Mikhail and Sol{\´e}, Dirceu and Somekh, David and Sooronbaev, Talant and Sova, Milan and Spertini, Fran{\c{c}}ois and Spranger, Otto and Stellato, Cristiana and Stelmach, Rafael and Thibaudon, Michel and To, Teresa and Toumi, Mondher and Usmani, Omar and Valero, Antonio A. and Valenta, Rudolph and Valentin-Rostan, Marylin and Pereira, Marilyn Urrutia and van der Kleij, Rianne and Van Eerd, Michiel and Vandenplas, Olivier and Vasankari, Tuula and Vaz Carneiro, Antonio and Vezzani, Giorgio and Viart, Fr{\´e}d{\´e}ric and Viegi, Giovanni and Wallace, Dana and Wagenmann, Martin and Wang, De Yun and Waserman, Susan and Wickman, Magnus and Williams, Dennis M. and Wong, Gary and Wroczynski, Piotr and Yiallouros, Panayiotis K. and Yusuf, Osman M. and Zar, Heather J. and Zeng, St{\´e}phane and Zernotti, Mario E. and Zhang, Luo and Shan Zhong, Nan and Zidarn, Mihaela},
  title     = {ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice},
  series = {Allergy},
  volume    = {76},
  journal   = {Allergy},
  number    = {1},
  doi       = {10.1111/all.14422},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228339},
  pages     = {168 -- 190},
  year      = {2021},
  abstract  = {Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.},
  language  = {en}
}
@article{JiangOronClarketal.2016,
  author    = {Jiang, Yuxiang and Oron, Tal Ronnen and Clark, Wyatt T. and Bankapur, Asma R. and D'Andrea, Daniel and Lepore, Rosalba and Funk, Christopher S. and Kahanda, Indika and Verspoor, Karin M. and Ben-Hur, Asa and Koo, Da Chen Emily and Penfold-Brown, Duncan and Shasha, Dennis and Youngs, Noah and Bonneau, Richard and Lin, Alexandra and Sahraeian, Sayed M. E. and Martelli, Pier Luigi and Profiti, Giuseppe and Casadio, Rita and Cao, Renzhi and Zhong, Zhaolong and Cheng, Jianlin and Altenhoff, Adrian and Skunca, Nives and Dessimoz, Christophe and Dogan, Tunca and Hakala, Kai and Kaewphan, Suwisa and Mehryary, Farrokh and Salakoski, Tapio and Ginter, Filip and Fang, Hai and Smithers, Ben and Oates, Matt and Gough, Julian and T{\"o}r{\"o}nen, Petri and Koskinen, Patrik and Holm, Liisa and Chen, Ching-Tai and Hsu, Wen-Lian and Bryson, Kevin and Cozzetto, Domenico and Minneci, Federico and Jones, David T. and Chapman, Samuel and BKC, Dukka and Khan, Ishita K. and Kihara, Daisuke and Ofer, Dan and Rappoport, Nadav and Stern, Amos and Cibrian-Uhalte, Elena and Denny, Paul and Foulger, Rebecca E. and Hieta, Reija and Legge, Duncan and Lovering, Ruth C. and Magrane, Michele and Melidoni, Anna N. and Mutowo-Meullenet, Prudence and Pichler, Klemens and Shypitsyna, Aleksandra and Li, Biao and Zakeri, Pooya and ElShal, Sarah and Tranchevent, L{\´e}on-Charles and Das, Sayoni and Dawson, Natalie L. and Lee, David and Lees, Jonathan G. and Sillitoe, Ian and Bhat, Prajwal and Nepusz, Tam{\´a}s and Romero, Alfonso E. and Sasidharan, Rajkumar and Yang, Haixuan and Paccanaro, Alberto and Gillis, Jesse and Sede{\~n}o-Cort{\´e}s, Adriana E. and Pavlidis, Paul and Feng, Shou and Cejuela, Juan M. and Goldberg, Tatyana and Hamp, Tobias and Richter, Lothar and Salamov, Asaf and Gabaldon, Toni and Marcet-Houben, Marina and Supek, Fran and Gong, Qingtian and Ning, Wei and Zhou, Yuanpeng and Tian, Weidong and Falda, Marco and Fontana, Paolo and Lavezzo, Enrico and Toppo, Stefano and Ferrari, Carlo and Giollo, Manuel and Piovesan, Damiano and Tosatto, Silvio C. E. and del Pozo, Angela and Fern{\´a}ndez, Jos{\´e} M. and Maietta, Paolo and Valencia, Alfonso and Tress, Michael L. and Benso, Alfredo and Di Carlo, Stefano and Politano, Gianfranco and Savino, Alessandro and Rehman, Hafeez Ur and Re, Matteo and Mesiti, Marco and Valentini, Giorgio and Bargsten, Joachim W. and van Dijk, Aalt D. J. and Gemovic, Branislava and Glisic, Sanja and Perovic, Vladmir and Veljkovic, Veljko and Almeida-e-Silva, Danillo C. and Vencio, Ricardo Z. N. and Sharan, Malvika and Vogel, J{\"o}rg and Kansakar, Lakesh and Zhang, Shanshan and Vucetic, Slobodan and Wang, Zheng and Sternberg, Michael J. E. and Wass, Mark N. and Huntley, Rachael P. and Martin, Maria J. and O'Donovan, Claire and Robinson, Peter N. and Moreau, Yves and Tramontano, Anna and Babbitt, Patricia C. and Brenner, Steven E. and Linial, Michal and Orengo, Christine A. and Rost, Burkhard and Greene, Casey S. and Mooney, Sean D. and Friedberg, Iddo and Radivojac, Predrag and Veljkovic, Nevena},
  title     = {An expanded evaluation of protein function prediction methods shows an improvement in accuracy},
  series = {Genome Biology},
  volume    = {17},
  journal   = {Genome Biology},
  number    = {184},
  doi       = {10.1186/s13059-016-1037-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166293},
  year      = {2016},
  abstract  = {Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.},
  language  = {en}
}
@article{ZhouDierksKertelsetal.2020,
  author    = {Zhou, Xiang and Dierks, Alexander and Kertels, Olivia and Kircher, Malte and Schirbel, Andreas and Samnick, Samuel and Buck, Andreas K. and Knorz, Sebastian and B{\"o}ckle, David and Scheller, Lukas and Messerschmidt, Janin and Barakat, Mohammad and Kort{\"u}m, K. Martin and Rasche, Leo and Einsele, Hermann and Lapa, Constantin},
  title     = {18F-FDG, 11C-Methionine, and 68Ga-Pentixafor PET/CT in patients with smoldering multiple myeloma: imaging pattern and clinical features},
  series = {Cancers},
  volume    = {12},
  journal   = {Cancers},
  number    = {8},
  issn      = {2072-6694},
  doi       = {10.3390/cancers12082333},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211240},
  year      = {2020},
  abstract  = {This study aimed to explore the correlation between imaging patterns and clinical features in patients with smoldering multiple myeloma (SMM) who simultaneously underwent 18F-FDG, 11C-Methionine, and 68Ga-Pentixafor positron emission tomography/computed tomography (PET/CT). We retrieved and analyzed clinical characteristics and PET imaging data of 10 patients with SMM. We found a significant correlation between bone marrow (BM) plasma cell (PC) infiltration and mean standardized uptake values (SUV\(_{mean}\)) of lumbar vertebrae L2-L4 on 11C-Methionine PET/CT scans (r = 0.676, p = 0.031) and 68Ga-Pentixafor PET/CT scans (r = 0.839, p = 0.002). However, there was no significant correlation between BM involvement and SUV\(_{mean}\) of lumbar vertebrae L2-L4 on 18F-FDG PET/CT scans (r = 0.558, p = 0.093). Similarly, mean target-to-background ratios (TBR\(_{mean}\)) of lumbar vertebrae L2-L4 also correlated with bone marrow plasma cell (BMPC) infiltration in 11C-Methionine PET/CT (r = 0.789, p = 0.007) and 68Ga-Pentixafor PET/CT (r = 0.724, p = 0.018) PET/CT. In contrast, we did not observe a significant correlation between BMPC infiltration rate and TBR\(_{mean}\) in 18F-FDG PET/CT (r = 0.355, p = 0.313). Additionally, on 11C-Methionine PET/CT scans, we found a significant correlation between BMPC infiltration and TBR\(_{max}\) of lumbar vertebrae L2-L4 (r = 0.642, p = 0.045). In conclusion, 11C-Methionine and 68Ga-Pentixafor PET/CT demonstrate higher sensitivity than 18F-FDG PET/CT in detecting BM involvement in SMM.},
  language  = {en}
}
@article{WeisschuhMayerStrometal.2016,
  author    = {Weisschuh, Nicole and Mayer, Anja K. and Strom, Tim M. and Kohl, Susanne and Gl{\"o}ckle, Nicola and Schubach, Max and Andreasson, Sten and Bernd, Antje and Birch, David G. and Hamel, Christian P. and Heckenlively, John R. and Jacobson, Samuel G. and Kamme, Christina and Kellner, Ulrich and Kunstmann, Erdmute and Maffei, Pietro and Reiff, Charlotte M. and Rohrschneider, Klaus and Rosenberg, Thomas and Rudolph, G{\"u}nther and V{\´a}mos, Rita and Vars{\´a}nyi, Bal{\´a}zs and Weleber, Richard G. and Wissinger, Bernd},
  title     = {Mutation Detection in Patients with Retinal Dystrophies Using Targeted Next Generation Sequencing},
  series = {PLoS ONE},
  volume    = {11},
  journal   = {PLoS ONE},
  number    = {1},
  doi       = {10.1371/journal.pone.0145951},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-167398},
  pages     = {e0145951},
  year      = {2016},
  abstract  = {Retinal dystrophies (RD) constitute a group of blinding diseases that are characterized by clinical variability and pronounced genetic heterogeneity. The different nonsyndromic and syndromic forms of RD can be attributed to mutations in more than 200 genes. Consequently, next generation sequencing (NGS) technologies are among the most promising approaches to identify mutations in RD. We screened a large cohort of patients comprising 89 independent cases and families with various subforms of RD applying different NGS platforms. While mutation screening in 50 cases was performed using a RD gene capture panel, 47 cases were analyzed using whole exome sequencing. One family was analyzed using whole genome sequencing. A detection rate of 61\% was achieved including mutations in 34 known and two novel RD genes. A total of 69 distinct mutations were identified, including 39 novel mutations. Notably, genetic findings in several families were not consistent with the initial clinical diagnosis. Clinical reassessment resulted in refinement of the clinical diagnosis in some of these families and confirmed the broad clinical spectrum associated with mutations in RD genes.},
  language  = {en}
}
@article{ZhouDierksKertelsetal.2020,
  author    = {Zhou, Xiang and Dierks, Alexander and Kertels, Olivia and Samnick, Samuel and Kircher, Malte and Buck, Andreas K. and Haertle, Larissa and Knorz, Sebastian and B{\"o}ckle, David and Scheller, Lukas and Messerschmidt, Janin and Barakat, Mohammad and Truger, Marietta and Haferlach, Claudia and Einsele, Hermann and Rasche, Leo and Kort{\"u}m, K. Martin and Lapa, Constantin},
  title     = {The link between cytogenetics/genomics and imaging patterns of relapse and progression in patients with relapsed/refractory multiple myeloma: a pilot study utilizing 18F-FDG PET/CT},
  series = {Cancers},
  volume    = {12},
  journal   = {Cancers},
  number    = {9},
  issn      = {2072-6694},
  doi       = {10.3390/cancers12092399},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-211157},
  year      = {2020},
  abstract  = {Utilizing 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT), we performed this pilot study to evaluate the link between cytogenetic/genomic markers and imaging patterns in relapsed/refractory (RR) multiple myeloma (MM). We retrospectively analyzed data of 24 patients with RRMM who were treated at our institution between November 2018 and February 2020. At the last relapse/progression, patients had been treated with a median of three (range 1-10) lines of therapy. Six (25\%) patients showed FDG avid extramedullary disease without adjacency to bone. We observed significantly higher maximum standardized uptake values (SUV\(_{max}\)) in patients harboring del(17p) compared with those without del(17p) (p = 0.025). Moreover, a high SUV\(_{max}\) of >15 indicated significantly shortened progression-free survival (PFS) (p = 0.01) and overall survival (OS) (p = 0.0002). One female patient exhibited biallelic TP53 alteration, i.e., deletion and mutation, in whom an extremely high SUV\(_{max}\) of 37.88 was observed. In summary, this pilot study suggested a link between del(17p)/TP53 alteration and high SUV\(_{max}\) on 18F-FDG PET/CT in RRMM patients. Further investigations are highly warranted at this point.},
  language  = {en}
}