TY  - JOUR
A1  - Weber-Lassalle, Nana
A1  - Hauke, Jan
A1  - Ramser, Juliane
A1  - Richters, Lisa
A1  - Groß, Eva
A1  - Blümcke, Britta
A1  - Gehrig, Andrea
A1  - Kahlert, Anne-Karin
A1  - Müller, Clemens R.
A1  - Hackmann, Karl
A1  - Honisch, Ellen
A1  - Weber-Lassalle, Konstantin
A1  - Niederacher, Dieter
A1  - Borde, Julika
A1  - Thiele, Holger
A1  - Ernst, Corinna
A1  - Altmüller, Janine
A1  - Neidhardt, Guido
A1  - Nürnberg, Peter
A1  - Klaschik, Kristina
A1  - Schroeder, Christopher
A1  - Platzer, Konrad
A1  - Volk, Alexander E.
A1  - Wang-Gohrke, Shan
A1  - Just, Walter
A1  - Auber, Bernd
A1  - Kubisch, Christian
A1  - Schmidt, Gunnar
A1  - Horvath, Judit
A1  - Wappenschmidt, Barbara
A1  - Engel, Christoph
A1  - Arnold, Norbert
A1  - Dworniczak, Bernd
A1  - Rhiem, Kerstin
A1  - Meindl, Alfons
A1  - Schmutzler, Rita K.
A1  - Hahnen, Eric
T1  - BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer
JF  - Breast Cancer Research
N2  - Background
Germline mutations in the BRIP1 gene have been described as conferring a moderate risk for ovarian cancer (OC), while the role of BRIP1 in breast cancer (BC) pathogenesis remains controversial.

Methods
To assess the role of deleterious BRIP1 germline mutations in BC/OC predisposition, 6341 well-characterized index patients with BC, 706 index patients with OC, and 2189 geographically matched female controls were screened for loss-of-function (LoF) mutations and potentially damaging missense variants. All index patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germline testing and tested negative for pathogenic BRCA1/2 variants.

Results
BRIP1 LoF mutations confer a high OC risk in familial index patients (odds ratio (OR) = 20.97, 95% confidence interval (CI) = 12.02–36.57, P < 0.0001) and in the subgroup of index patients with late-onset OC (OR = 29.91, 95% CI = 14.99–59.66, P < 0.0001). No significant association of BRIP1 LoF mutations with familial BC was observed (OR = 1.81 95% CI = 1.00–3.30, P = 0.0623). In the subgroup of familial BC index patients without a family history of OC there was also no apparent association (OR = 1.42, 95% CI = 0.70–2.90, P = 0.3030). In 1027 familial BC index patients with a family history of OC, the BRIP1 mutation prevalence was significantly higher than that observed in controls (OR = 3.59, 95% CI = 1.43–9.01; P = 0.0168). Based on the negative association between BRIP1 LoF mutations and familial BC in the absence of an OC family history, we conclude that the elevated mutation prevalence in the latter cohort was driven by the occurrence of OC in these families. Compared with controls, predicted damaging rare missense variants were significantly more prevalent in OC (P = 0.0014) but not in BC (P = 0.0693) patients.

Conclusions
To avoid ambiguous results, studies aimed at assessing the impact of candidate predisposition gene mutations on BC risk might differentiate between BC index patients with an OC family history and those without. In familial cases, we suggest that BRIP1 is a high-risk gene for late-onset OC but not a BC predisposition gene, though minor effects cannot be excluded.
KW  - breast cancer
KW  - ovarian cancer
KW  - BRIP1 gene
KW  - germline mutations
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233433
VL  - 20
ER  - 
TY  - JOUR
A1  - Vigorito, Elena
A1  - Kuchenbaecker, Karoline B.
A1  - Beesley, Jonathan
A1  - Adlard, Julian
A1  - Agnarsson, Bjarni A.
A1  - Andrulis, Irene L.
A1  - Arun, Banu K.
A1  - Barjhoux, Laure
A1  - Belotti, Muriel
A1  - Benitez, Javier
A1  - Berger, Andreas
A1  - Bojesen, Anders
A1  - Bonanni, Bernardo
A1  - Brewer, Carole
A1  - Caldes, Trinidad
A1  - Caligo, Maria A.
A1  - Campbell, Ian
A1  - Chan, Salina B.
A1  - Claes, Kathleen B. M.
A1  - Cohn, David E.
A1  - Cook, Jackie
A1  - Daly, Mary B.
A1  - Damiola, Francesca
A1  - Davidson, Rosemarie
A1  - de Pauw, Antoine
A1  - Delnatte, Capucine
A1  - Diez, Orland
A1  - Domchek, Susan M.
A1  - Dumont, Martine
A1  - Durda, Katarzyna
A1  - Dworniczak, Bernd
A1  - Easton, Douglas F.
A1  - Eccles, Diana
A1  - Ardnor, Christina Edwinsdotter
A1  - Eeles, Ros
A1  - Ejlertsen, Bent
A1  - Ellis, Steve
A1  - Evans, D. Gareth
A1  - Feliubadalo, Lidia
A1  - Fostira, Florentia
A1  - Foulkes, William D.
A1  - Friedman, Eitan
A1  - Frost, Debra
A1  - Gaddam, Pragna
A1  - Ganz, Patricia A.
A1  - Garber, Judy
A1  - Garcia-Barberan, Vanesa
A1  - Gauthier-Villars, Marion
A1  - Gehrig, Andrea
A1  - Gerdes, Anne-Marie
A1  - Giraud, Sophie
A1  - Godwin, Andrew K.
A1  - Goldgar, David E.
A1  - Hake, Christopher R.
A1  - Hansen, Thomas V. O.
A1  - Healey, Sue
A1  - Hodgson, Shirley
A1  - Hogervorst, Frans B. L.
A1  - Houdayer, Claude
A1  - Hulick, Peter J.
A1  - Imyanitov, Evgeny N.
A1  - Isaacs, Claudine
A1  - Izatt, Louise
A1  - Izquierdo, Angel
A1  - Jacobs, Lauren
A1  - Jakubowska, Anna
A1  - Janavicius, Ramunas
A1  - Jaworska-Bieniek, Katarzyna
A1  - Jensen, Uffe Birk
A1  - John, Esther M.
A1  - Vijai, Joseph
A1  - Karlan, Beth Y.
A1  - Kast, Karin
A1  - Khan, Sofia
A1  - Kwong, Ava
A1  - Laitman, Yael
A1  - Lester, Jenny
A1  - Lesueur, Fabienne
A1  - Liljegren, Annelie
A1  - Lubinski, Jan
A1  - Mai, Phuong L.
A1  - Manoukian, Siranoush
A1  - Mazoyer, Sylvie
A1  - Meindl, Alfons
A1  - Mensenkamp, Arjen R.
A1  - Montagna, Marco
A1  - Nathanson, Katherine L.
A1  - Neuhausen, Susan L.
A1  - Nevanlinna, Heli
A1  - Niederacher, Dieter
A1  - Olah, Edith
A1  - Olopade, Olufunmilayo I.
A1  - Ong, Kai-ren
A1  - Osorio, Ana
A1  - Park, Sue Kyung
A1  - Paulsson-Karlsson, Ylva
A1  - Pedersen, Inge Sokilde
A1  - Peissel, Bernard
A1  - Peterlongo, Paolo
A1  - Pfeiler, Georg
A1  - Phelan, Catherine M.
A1  - Piedmonte, Marion
A1  - Poppe, Bruce
A1  - Pujana, Miquel Angel
A1  - Radice, Paolo
A1  - Rennert, Gad
A1  - Rodriguez, Gustavo C.
A1  - Rookus, Matti A.
A1  - Ross, Eric A.
A1  - Schmutzler, Rita Katharina
A1  - Simard, Jacques
A1  - Singer, Christian F.
A1  - Slavin, Thomas P.
A1  - Soucy, Penny
A1  - Southey, Melissa
A1  - Steinemann, Doris
A1  - Stoppa-Lyonnet, Dominique
A1  - Sukiennicki, Grzegorz
A1  - Sutter, Christian
A1  - Szabo, Csilla I.
A1  - Tea, Muy-Kheng
A1  - Teixeira, Manuel R.
A1  - Teo, Soo-Hwang
A1  - Terry, Mary Beth
A1  - Thomassen, Mads
A1  - Tibiletti, Maria Grazia
A1  - Tihomirova, Laima
A1  - Tognazzo, Silvia
A1  - van Rensburg, Elizabeth J.
A1  - Varesco, Liliana
A1  - Varon-Mateeva, Raymonda
A1  - Vratimos, Athanassios
A1  - Weitzel, Jeffrey N.
A1  - McGuffog, Lesley
A1  - Kirk, Judy
A1  - Toland, Amanda Ewart
A1  - Hamann, Ute
A1  - Lindor, Noralane
A1  - Ramus, Susan J.
A1  - Greene, Mark H.
A1  - Couch, Fergus J.
A1  - Offit, Kenneth
A1  - Pharoah, Paul D. P.
A1  - Chenevix-Trench, Georgia
A1  - Antoniou, Antonis C.
T1  - Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
JF  - PLoS ONE
N2  - Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10−16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10−6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population.
KW  - fine-scale mapping
KW  - ovarian cancer
KW  - genetics
KW  - BRCA1
KW  - BRCA2
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166869
VL  - 11
IS  - 7
ER  - 
TY  - JOUR
A1  - Vergote, Ignace
A1  - Macarulla, Teresa
A1  - Hirsch, Fred R.
A1  - Hagemann, Carsten
A1  - Miller, David Scott
T1  - Tumor Treating Fields (TTFields) therapy concomitant with taxanes for cancer treatment
JF  - Cancers
N2  - Non-small cell lung cancer, ovarian cancer, and pancreatic cancer all present with high morbidity and mortality. Systemic chemotherapies have historically been the cornerstone of standard of care (SOC) regimens for many cancers, but are associated with systemic toxicity. Multimodal treatment combinations can help improve patient outcomes; however, implementation is limited by additive toxicities and potential drug–drug interactions. As such, there is a high unmet need to develop additional therapies to enhance the efficacy of SOC treatments without increasing toxicity. Tumor Treating Fields (TTFields) are electric fields that exert physical forces to disrupt cellular processes critical for cancer cell viability and tumor progression. The therapy is locoregional and is delivered noninvasively to the tumor site via a portable medical device that consists of field generator and arrays that are placed on the patient’s skin. As a noninvasive treatment modality, TTFields therapy-related adverse events mainly consist of localized skin reactions, which are manageable with effective acute and prophylactic treatments. TTFields selectively target cancer cells through a multi-mechanistic approach without affecting healthy cells and tissues. Therefore, the application of TTFields therapy concomitant with other cancer treatments may lead to enhanced efficacy, with low risk of further systemic toxicity. In this review, we explore TTFields therapy concomitant with taxanes in both preclinical and clinical settings. The summarized data suggest that TTFields therapy concomitant with taxanes may be beneficial in the treatment of certain cancers.
KW  - Tumor Treating Fields (TTFields)
KW  - taxanes
KW  - non-small cell lung cancer (NSCLC)
KW  - ovarian cancer
KW  - pancreatic cancer
KW  - mechanism of action
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-305007
SN  - 2072-6694
VL  - 15
IS  - 3
ER  - 
TY  - JOUR
A1  - Osorio, Ana
A1  - Milne, Roger L.
A1  - Kuchenbaecker, Karoline
A1  - Vaclová, Tereza
A1  - Pita, Guillermo
A1  - Alonso, Rosario
A1  - Peterlongo, Paolo
A1  - Blanco, Ignacio
A1  - de la Hoya, Miguel
A1  - Duran, Mercedes
A1  - Diez, Orland
A1  - Ramón y Cajal, Teresa
A1  - Konstantopoulou, Irene
A1  - Martínez-Bouzas, Christina
A1  - Conejero, Raquel Andrés
A1  - Soucy, Penny
A1  - McGuffog, Lesley
A1  - Barrowdale, Daniel
A1  - Lee, Andrew
A1  - Arver, Brita
A1  - Rantala, Johanna
A1  - Loman, Niklas
A1  - Ehrencrona, Hans
A1  - Olopade, Olufunmilayo I.
A1  - Beattie, Mary S.
A1  - Domchek, Susan M.
A1  - Nathanson, Katherine
A1  - Rebbeck, Timothy R.
A1  - Arun, Banu K.
A1  - Karlan, Beth Y.
A1  - Walsh, Christine
A1  - Lester, Jenny
A1  - John, Esther M.
A1  - Whittemore, Alice S.
A1  - Daly, Mary B.
A1  - Southey, Melissa
A1  - Hopper, John
A1  - Terry, Mary B.
A1  - Buys, Saundra S.
A1  - Janavicius, Ramunas
A1  - Dorfling, Cecilia M.
A1  - van Rensburg, Elizabeth J.
A1  - Steele, Linda
A1  - Neuhausen, Susan L.
A1  - Ding, Yuan Chun
A1  - Hansen, Thomas V. O.
A1  - Jønson, Lars
A1  - Ejlertsen, Bent
A1  - Gerdes, Anne-Marie
A1  - Infante, Mar
A1  - Herráez, Belén
A1  - Moreno, Leticia Thais
A1  - Weitzel, Jeffrey N.
A1  - Herzog, Josef
A1  - Weeman, Kisa
A1  - Manoukian, Siranoush
A1  - Peissel, Bernard
A1  - Zaffaroni, Daniela
A1  - Scuvera, Guilietta
A1  - Bonanni, Bernardo
A1  - Mariette, Frederique
A1  - Volorio, Sara
A1  - Viel, Alessandra
A1  - Varesco, Liliana
A1  - Papi, Laura
A1  - Ottini, Laura
A1  - Tibiletti, Maria Grazia
A1  - Radice, Paolo
A1  - Yannoukakos, Drakoulis
A1  - Garber, Judy
A1  - Ellis, Steve
A1  - Frost, Debra
A1  - Platte, Radka
A1  - Fineberg, Elena
A1  - Evans, Gareth
A1  - Lalloo, Fiona
A1  - Izatt, Louise
A1  - Eeles, Ros
A1  - Adlard, Julian
A1  - Davidson, Rosemarie
A1  - Cole, Trevor
A1  - Eccles, Diana
A1  - Cook, Jackie
A1  - Hodgson, Shirley
A1  - Brewer, Carole
A1  - Tischkowitz, Marc
A1  - Douglas, Fiona
A1  - Porteous, Mary
A1  - Side, Lucy
A1  - Walker, Lisa
A1  - Morrison, Patrick
A1  - Donaldson, Alan
A1  - Kennedy, John
A1  - Foo, Claire
A1  - Godwin, Andrew K.
A1  - Schmutzler, Rita Katharina
A1  - Wappenschmidt, Barbara
A1  - Rhiem, Kerstin
A1  - Engel, Christoph
A1  - Meindl, Alftons
A1  - Ditsch, Nina
A1  - Arnold, Norbert
A1  - Plendl, Hans Jörg
A1  - Niederacher, Dieter
A1  - Sutter, Christian
A1  - Wang-Gohrke, Shan
A1  - Steinemann, Doris
A1  - Preisler-Adams, Sabine
A1  - Kast, Karin
A1  - Varon-Mateeva, Raymonda
A1  - Gehrig, Andrea
A1  - Stoppa-Lyonnet, Dominique
A1  - Sinilnikova, Olga M.
A1  - Mazoyer, Sylvie
A1  - Damiola, Francesca
A1  - Poppe, Bruce
A1  - Claes, Kathleen
A1  - Piedmonte, Marion
A1  - Tucker, Kathy
A1  - Backes, Floor
A1  - Rodríguez, Gustavo
A1  - Brewster, Wendy
A1  - Wakeley, Katie
A1  - Rutherford, Thomas
A1  - Caldés, Trinidad
A1  - Nevanlinna, Heli
A1  - Aittomäki, Kristiina
A1  - Rookus, Matti A.
A1  - van Os, Theo A. M.
A1  - van der Kolk, Lizet
A1  - de Lange, J. L.
A1  - Meijers-Heijboer, Hanne E. J.
A1  - van der Hout, A. H.
A1  - van Asperen, Christi J.
A1  - Goméz Garcia, Encarna B.
A1  - Encarna, B.
A1  - Hoogerbrugge, Nicoline
A1  - Collée, J. Margriet
A1  - van Deurzen, Carolien H. M.
A1  - van der Luijt, Rob B.
A1  - Devilee, Peter
A1  - Olah, Edith
A1  - Lázaro, Conxi
A1  - Teulé, Alex
A1  - Menéndez, Mireia
A1  - Jakubowska, Anna
A1  - Cybulski, Cezary
A1  - Gronwald, Jecek
A1  - Lubinski, Jan
A1  - Durda, Katarzyna
A1  - Jaworska-Bieniek, Katarzyna
A1  - Johannsson, Oskar Th.
A1  - Maugard, Christine
A1  - Montagna, Marco
A1  - Tognazzo, Silvia
A1  - Teixeira, Manuel R.
A1  - Healey, Sue
A1  - Olswold, Curtis
A1  - Guidugli, Lucia
A1  - Lindor, Noralane
A1  - Slager, Susan
A1  - Szabo, Csilla I.
A1  - Vijai, Joseph
A1  - Robson, Mark
A1  - Kauff, Noah
A1  - Zhang, Liying
A1  - Rau-Murthy, Rohini
A1  - Fink-Retter, Anneliese
A1  - Singer, Christine F.
A1  - Rappaport, Christine
A1  - Kaulich, Daphne Geschwantler
A1  - Pfeiler, Georg
A1  - Tea, Muy-Kheng
A1  - Berger, Andreas
A1  - Phelan, Catherine M.
A1  - Greene, Mark H.
A1  - Mai, Phuong L.
A1  - Lejbkowicz, Flavio
A1  - Andrulis, Irene
A1  - Mulligan, Anna Marie
A1  - Glendon, Gord
A1  - Toland, Amanda Ewart
A1  - Bojesen, Anders
A1  - Pedersen, Inge Sokilde
A1  - Sunde, Lone
A1  - Thomassen, Mads
A1  - Kruse, Torben A.
A1  - Jensen, Uffe Birk
A1  - Friedman, Eitan
A1  - Laitman, Yeal
A1  - Shimon, Shanie Paluch
A1  - Simard, Jaques
A1  - Easton, Douglas F.
A1  - Offit, Kenneth
A1  - Couch, Fergus J.
A1  - Chenevix-Trench, Georgia
A1  - Antoniou, Antonis C.
A1  - Benitez, Javier
T1  - DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers
JF  - PLOS Genetics
N2  - Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7x10(-3)) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95% CI: 1.03-1.21, p = 4.8x10(-3)). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied.
KW  - single-nucleotide polymorphisms
KW  - breast cancer
KW  - ovarian cancer
KW  - genetic modifiers
KW  - common variants
KW  - NEIL2
KW  - OGG1
KW  - investigators
KW  - consortium
KW  - damage
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-116820
SN  - 1553-7404
VL  - 4
IS  - e1004256
ER  - 
TY  - JOUR
A1  - Oliveira-Ferrer, Leticia
A1  - Schmalfeldt, Barbara
A1  - Dietl, Johannes
A1  - Bartmann, Catharina
A1  - Schumacher, Udo
A1  - Stürken, Christine
T1  - Ovarian cancer-cell pericellular hyaluronan deposition negatively impacts prognosis of ovarian cancer patients
JF  - Biomedicines
N2  - Background: Hyaluronan (HA), a component of the extracellular matrix, is frequently increased under pathological conditions including cancer. Not only stroma cells but also cancer cells themselves synthesize HA, and the interaction of HA with its cognate receptors promotes malignant progression and metastasis. Methods: In the present study, HA deposition in tissue sections was analyzed by hyaluronan-binding protein (HABP) ligand histochemistry in 17 borderline tumors and 102 primary and 20 recurrent ovarian cancer samples. The intensity and, particularly, localization of the HA deposition were recorded: for the localization, the pericellular deposition around the ovarian cancer cells was distinguished from the deposition within the stromal compartment. These histochemical data were correlated with clinical and pathological parameters. Additionally, within a reduced subgroup of ovarian cancer samples (n = 70), the RNA levels of several HA-associated genes were correlated with the HA localization and intensity. Results: Both stroma-localized and pericellular tumor-cell-associated HA deposition were observed. Cancer-cell pericellular HA deposition, irrespective of its staining intensity, was significantly associated with malignancy, and in the primary ovarian cancer cohort, it represents an independent unfavorable prognostic marker for overall survival. Furthermore, a significant association between high CD44, HAS2 and HAS3 mRNA levels and a cancer-cell pericellular HA-deposition pattern was noted. In contrast, stromal hyaluronan deposition had no impact on ovarian cancer prognosis. Conclusions: In conclusion, the site of HA deposition is of prognostic value, but the amount deposited is not. The significant association of only peritumoral cancer-cell HA deposition with high CD44 mRNA expression levels suggests a pivotal role of the CD44–HA signaling axis for malignant progression in ovarian cancer.
KW  - ovarian cancer
KW  - stromal hyaluronan
KW  - tumor-associated hyaluronan staining pattern
KW  - hyaluronan-related enzymes
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-297539
SN  - 2227-9059
VL  - 10
IS  - 11
ER  - 
TY  - JOUR
A1  - Montalbán del Barrio, Itsaso
A1  - Penski, Cornelia
A1  - Schlahsa, Laura
A1  - Stein, Roland G.
A1  - Diessner, Joachim
A1  - Wöckel, Achim
A1  - Dietl, Johannes
A1  - Lutz, Manfred B.
A1  - Mittelbronn, Michel
A1  - Wischhusen, Jörg
A1  - Häusler, Sebastian F. M.
T1  - Adenosine-generating ovarian cancer cells attract myeloid cells which differentiate into adenosine-generating tumor associated macrophages - a self-amplifying, CD39- and CD73-dependent mechanism for tumor immune escape
JF  - Journal for ImmunoTherapy of Cancer
N2  - Background
Ovarian cancer (OvCA) tissues show abundant expression of the ectonucleotidases CD39 and CD73 which generate immunomodulatory adenosine, thereby inhibiting cytotoxic lymphocytes. Little, however, is known about the effect of adenosine on myeloid cells. Considering that tumor associated macrophages (TAM) and myeloid-derived suppressor cells (MDSC) constitute up to 20 % of OvCA tissue, we investigated the effect of adenosine on myeloid cells and explored a possible contribution of myeloid cells to adenosine generation in vitro and ex vivo.

Methods
Monocytes were used as human blood-derived myeloid cells. After co-incubation with SK-OV-3 or OAW-42 OvCA cells, monocyte migration was determined in transwell assays. For conversion into M2-polarized “TAM-like” macrophages, monocytes were co-incubated with OAW-42 cells. Ex vivo TAMs were obtained from OvCA ascites. Macrophage phenotypes were investigated by intracellular staining for IL-10 and IL-12. CD39 and CD73 expression were assessed by FACS analysis both on in vitro-induced TAM-like macrophages and on ascites-derived ex situ-TAMs. Myeloid cells in solid tumor tissue were analyzed by immunohistochemistry. Generation of biologically active adenosine by TAM-like macrophages was measured in luciferase-based reporter assays. Functional effects of adenosine were investigated in proliferation-experiments with CD4+ T cells and specific inhibitors.

Results
When CD39 or CD73 activity on OvCA cells were blocked, the migration of monocytes towards OvCA cells was significantly decreased. In vivo, myeloid cells in solid ovarian cancer tissue were found to express CD39 whereas CD73 was mainly detected on stromal fibroblasts. Ex situ-TAMs and in vitro differentiated TAM-like cells, however, upregulated the expression of CD39 and CD73 compared to monocytes or M1 macrophages. Expression of ectonucleotidases also translated into increased levels of biologically active adenosine. Accordingly, co-incubation with these TAMs suppressed CD4+ T cell proliferation which could be rescued via blockade of CD39 or CD73.

Conclusion
Adenosine generated by OvCA cells likely contributes to the recruitment of TAMs which further amplify adenosine-dependent immunosuppression via additional ectonucleotidase activity. In solid ovarian cancer tissue, TAMs express CD39 while CD73 is found on stromal fibroblasts. Accordingly, small molecule inhibitors of CD39 or CD73 could improve immune responses in ovarian cancer.
KW  - ovarian cancer
KW  - adenosine
KW  - CD39
KW  - tumor associated macrophages
KW  - immune escape
KW  - CD73
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-146624
VL  - 4
IS  - 49
ER  - 
TY  - JOUR
A1  - Häusler, Sebastian F. M.
A1  - del Barrio, Itsaso Montalbán
A1  - Diessner, Joachim
A1  - Stein, Roland G.
A1  - Strohschein, Jenny
A1  - Hönig, Arnd
A1  - Dietl, Johannes
A1  - Wischhusen, Jörg
T1  - Anti-CD39 and anti-CD73 antibodies A1 and 7G2 improve targeted therapy in ovarian cancer by blocking adenosine-dependent immune evasion
JF  - American Journal of Translational Research
N2  - The ectonucleotidases CD39 and CD73 degrade ATP to adenosine which inhibits immune responses via the \(A_{2A}\) adenosine receptor (ADORA2A) on T and NK cells. The current study investigates the potential therapeutic use of the specific anti CD39- and anti CD73-antibodies A1 (CD39) and 7G2 (CD73) as these two ectonucleotidases are overexpressed in ovarian cancer (OvCA). As expected, NK cell cytotoxicity against the human ovarian cancer cell lines OAW-42 or SK-OV-3 was significantly increased in the presence of A1 or 7G2 antibody. While this might partly be due to antibody-dependent cell-mediated cytotoxicity, a luciferase-dependent assay for quantifying biologically active adenosine further showed that A1 and 7G2 can inhibit CD39 and CD73-dependent adenosine-generation. In turn, the reduction in adenosine levels achieved by addition of A1 and 7G2 to OAW-42 or SK-OV-3 cells was found to de-inhibit the proliferation of \(CD4^+\) T cells in coculture with OvCA cells. Likewise, blocking of CD39 and CD73 on OvCA cells via A1 and 7G2 led to an increased cytotoxicity of alloreactive primed T cells. Thus, antibodies like A1 and 7G2 could improve targeted therapy in ovarian cancer not only by specifically labeling overexpressed antigens but also by blocking adenosine-dependent immune evasion in this immunogenic malignancy.
KW  - ovarian cancer
KW  - immune escape
KW  - adenosine
KW  - CD39
KW  - CD73
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-120016
SN  - 1943-8141
VL  - 6
IS  - 2
ER  - 
TY  - JOUR
A1  - Herbert, Saskia-Laureen
A1  - Fick, Andrea
A1  - Heydarian, Motaharehsadat
A1  - Metzger, Marco
A1  - Wöckel, Achim
A1  - Rudel, Thomas
A1  - Kozjak-Pavlovic, Vera
A1  - Wulff, Christine
T1  - Establishment of the SIS scaffold-based 3D model of human peritoneum for studying the dissemination of ovarian cancer
JF  - Journal of Tissue Engineering
N2  - Ovarian cancer is the second most common gynecological malignancy in women. More than 70% of the cases are diagnosed at the advanced stage, presenting as primary peritoneal metastasis, which results in a poor 5-year survival rate of around 40%. Mechanisms of peritoneal metastasis, including adhesion, migration, and invasion, are still not completely understood and therapeutic options are extremely limited. Therefore, there is a strong requirement for a 3D model mimicking the in vivo situation. In this study, we describe the establishment of a 3D tissue model of the human peritoneum based on decellularized porcine small intestinal submucosa (SIS) scaffold. The SIS scaffold was populated with human dermal fibroblasts, with LP-9 cells on the apical side representing the peritoneal mesothelium, while HUVEC cells on the basal side of the scaffold served to mimic the endothelial cell layer. Functional analyses of the transepithelial electrical resistance (TEER) and the FITC-dextran assay indicated the high barrier integrity of our model. The histological, immunohistochemical, and ultrastructural analyses showed the main characteristics of the site of adhesion. Initial experiments using the SKOV-3 cell line as representative for ovarian carcinoma demonstrated the usefulness of our models for studying tumor cell adhesion, as well as the effect of tumor cells on endothelial cell-to-cell contacts. Taken together, our data show that the novel peritoneal 3D tissue model is a promising tool for studying the peritoneal dissemination of ovarian cancer.
KW  - ovarian cancer
KW  - 3D tissue model
KW  - co-culture
KW  - peritoneal metastasis
KW  - cancer dissemination
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-301311
SN  - 2041-7314
VL  - 13
ER  - 
TY  - THES
A1  - Heinlein, U-Ju
T1  - Adenosinrezeptoren auf Ovarialkarzinomzellen
T1  - adenosine receptors in ovarian cancer cells
N2  - Seit der Entdeckung, dass Adenosin auch als Botenstoff dient, beschäftigen sich Forschungsgruppen mit Adenosinrezeptoren und ihrer möglichen therapeutischen Modulation, insbesondere in Zusammenhang mit Krebserkrankungen. Bislang sind die Rezeptoren auf diversen Krebszellen nachgewiesen worden. So konnten beispielsweise in einer Brustkrebszelllinie A2B Adenosinrezeptoren nachgewiesen werden, deren Stimulation zu einer Hemmung der wachstumsfördernden MAP Kinase führt. Pharmaka zur weitgehend selektiven Aktivierung oder Hemmung einzelner Adenosinrezeptor-Subtypen stehen ebenfalls zur Verfügung. Beim Ovarialkarzinom mit seiner leider meist erst spät auftretenden Symptomatik besteht derzeit noch keine Möglichkeit zur frühen Diagnosestellung, sodass die Prognose ausgesprochen ungünstig ausfällt und die Erkrankung bei Frauen eine der häufigsten krebsbedingten Todesursachen darstellt. Daher war es ein Ziel dieser Arbeit herauszufinden, ob Adenosinrezeptoren auf diesen Zellen einen möglichen therapeutischen Angriffspunkt bieten. Dazu untersuchten wir die vier Ovarialkarzinomzelllinien OVCAR-3, SK-OV-3, PA-1 und OAW-42 auf eine mögliche Expression von allen vier Adenosinrezeptorsubtypen. Zunächst wurden mit radioaktiv markierten Liganden ([3H]CCPA, [3H]NECA und [3H]HEMADO) Bindungsstudien für den A1-, A2A- und A3-Subtyp durchgeführt. Die Expression des A2B-Rezeptors wurde mithilfe eines funktionellen Nachweises, der Stimulation der Adenylylcyclase mithilfe von NECA (einem unspezifischen Adenosinrezeptoragonisten) analysiert. Im Anschluss daran untersuchten wir an OAW-42 und SK-OV-3 Zellen, ob sich ihr Proliferationsverhalten durch eine Stimulation mit NECA verändern ließe und ob sich das Ansprechen auf gängige Chemotherapeutika bzw. einen Todesliganden ändern würde. Trotz des erfolgreichen Nachweises von Adenosinrezeptoren auf allen Zelllinien waren die Ergebnisse der Proliferationsstudien aber nicht eindeutig. OAW-42 und SK-OV-3 Zellen reagierten zwar auf eine NECA-Stimulation mit sinkendem BrdU-Einbau, OAW-42 Zellen zeigten aber nach Behandlung mit NECA eine leicht erhöhte Resistenz gegenüber Cisplatin. NECA-behandelte SK-OV-3 Zellen reagierten hingegen etwas sensitiver auf Doxorubicin und Fas-Ligand. Die Unterschiede waren aber insgesamt sehr gering und wurden daher von uns als nicht entscheidender Effekt gewertet. Auch Untersuchungen zur Expression der Adenosin-generierenden Enzyme CD39 und CD73 vor und nach NECA-Stimulation blieben ohne erkennbare Veränderung. Insofern ergaben unsere Untersuchungen keine Hinweise darauf, dass Adenosinrezeptoren eine mögliche therapeutische Zielstruktur darstellen könnten. Zukünftige Studien können aber die gewonnenen Daten als Grundlage und Ausgangspunkt nützen, um auch andere Tumorzellarten zu untersuchen und im Kampf gegen den Krebs nach neuen potenziellen pharmakologischen Angriffspunkten zu suchen.
N2  - Purpose of the study: Adenosine and adenosine receptors are widely distributed throughout the human body. While they are thought to be involved in many diseases, they seem to play a particularly important role in cancer. Adenosine receptors were already identified in many different cancer tissues. Moreover, extracellular adenosine accumulates in solid tumor masses as a consequence of poor blood supply leading to hypoxia, cell death and concomitant adenine nucleotide breakdown. From a pharmacological point-of-view, numerous tools for activating or inhibiting adenosine receptors have been developed which could be used as therapeutics to combat cancer.One such strategy, for instance, might be based on the identification of A2B adenosine receptors in a breast cancer cell line which mediate the inhibition of growth-promoting MAP kinase activity. Among genuinely gynecological cancers, ovarian carcinoma is associated with the highest mortality rate. Its poor prognosis is mostly due to late primary diagnosis caused by the absence of early symptoms and by the lack of suitable screening programs. As current therapies show limited efficacy against late-stage ovarian cancer, there is an unmet medical need to be addressed by scientists and physicians. In this study we investigated if the human ovarian cancer cell lines OVCAR-3, SK-OV-3, PA-1 and OAW-42 express adenosine receptors on their surfaces. We used binding assays with the help of tritiated radioligands ([3H]CCPA , [3H]NECA und [3H]HEMADO) to identify the A1, A2A, A3 subtype and used a functional assay, namely the stimulation of the adenylylcyclase to detect A2B adenosine receptors with [32P]ATP and the nonselective adenosine receptor agonist NECA. Furthermore we investigated whether stimulation of adenosine receptors with NECA had any effect on the proliferation of OAW-42 and SK-OV-3 cells or on their sensitivity towards chemotherapeutic agents like cisplatin and doxorubicin. Results: We found adenosine receptors in all of the screened ovarian cancer cells, but their effects on proliferation and survival were ambiguous. OAW-42 and SK-OV-3 cells slightly reduced the incorporation of BrdU after treatment with 10 µM NECA. However, OAW-42 cells also became more resistant to cisplatin after treatment with NECA. SK-OV-3 cells, in contrast, were sensitized to doxorubicin and Fas ligand after incubation with NECA. Flow cytometry (FACS) further showed that the cell surface expression for the adenosine-generating ectonucleotidases CD39 and CD73 remained unaltered after stimulation of the cells with NECA. Taken together, the observed effects were quite small and it is questionable whether adenosine receptors represent suitable targets in ovarian cancer. Nevertheless, adenosine receptors remain interesting targets for cancer therapy. Our studies may thus stimulate future research on different tumor entities, with the purpose of finding the best application for the available adenosine receptor-specific drugs.
KW  - Eierstockkrebs
KW  - Adenosin
KW  - Adenosinrezeptor
KW  - ovarian cancer
KW  - adenosine
KW  - adenosine receptor
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-81920
ER  - 
TY  - JOUR
A1  - Harter, Philipp
A1  - Hauke, Jan
A1  - Heitz, Florian
A1  - Reuss, Alexander
A1  - Kommoss, Stefan
A1  - Marmé, Frederik
A1  - Heimbach, André
A1  - Prieske, Katharina
A1  - Richters, Lisa
A1  - Burges, Alexander
A1  - Neidhardt, Guido
A1  - de Gregorio, Nikolaus
A1  - El-Balat, Ahmed
A1  - Hilpert, Felix
A1  - Meier, Werner
A1  - Kimmig, Rainer
A1  - Kast, Karin
A1  - Sehouli, Jalid
A1  - Baumann, Klaus
A1  - Jackisch, Christian
A1  - Park-Simon, Tjoung-Won
A1  - Hanker, Lars
A1  - Kröber, Sandra
A1  - Pfisterer, Jacobus
A1  - Gevensleben, Heidrun
A1  - Schnelzer, Andreas
A1  - Dietrich, Dimo
A1  - Neunhöffer, Tanja
A1  - Krockenberger, Mathias
A1  - Brucker, Sara Y.
A1  - Nürnberg, Peter
A1  - Thiele, Holger
A1  - Altmüller, Janine
A1  - Lamla, Josefin
A1  - Elser, Gabriele
A1  - du Bois, Andreas
A1  - Hahnen, Eric
A1  - Schmutzler, Rita
T1  - Prevalence of deleterious germline variants in risk genes including \(BRCA1/2\) in consecutive ovarian cancer patients (AGO-TR-1)
JF  - PLoS ONE
N2  - Background
Identification of families at risk for ovarian cancer offers the opportunity to consider prophylactic surgery thus reducing ovarian cancer mortality. So far, identification of potentially affected families in Germany was solely performed via family history and numbers of affected family members with breast or ovarian cancer. However, neither the prevalence of deleterious variants in \(BRCA1/2\) in ovarian cancer in Germany nor the reliability of family history as trigger for genetic counselling has ever been evaluated.

Methods
Prospective counseling and germline testing of consecutive patients with primary diagnosis or with platinum-sensitive relapse of an invasive epithelial ovarian cancer. Testing included 25 candidate and established risk genes. Among these 25 genes, 16 genes (\(ATM\), \(BRCA1\), \(BRCA2\), \(CDH1\), \(CHEK2\), \(MLH1\), \(MSH2\), \(MSH6\), \(NBN\), \(PMS2\), \(PTEN\), \(PALB2\), \(RAD51C\), \(RAD51D\), \(STK11\), \(TP53\)) were defined as established cancer risk genes. A positive family history was defined as at least one relative with breast cancer or ovarian cancer or breast cancer in personal history.

Results
In total, we analyzed 523 patients: 281 patients with primary diagnosis of ovarian cancer and 242 patients with relapsed disease. Median age at primary diagnosis was 58 years (range 16–93) and 406 patients (77.6%) had a high-grade serous ovarian cancer. In total, 27.9% of the patients showed at least one deleterious variant in all 25 investigated genes and 26.4% in the defined 16 risk genes. Deleterious variants were most prevalent in the \(BRCA1\) (15.5%), \(BRCA2\) (5.5%), \(RAD51C\) (2.5%) and \(PALB2\) (1.1%) genes. The prevalence of deleterious variants did not differ significantly between patients at primary diagnosis and relapse. The prevalence of deleterious variants in \(BRCA1/2\) (and in all 16 risk genes) in patients <60 years was 30.2% (33.2%) versus 10.6% (18.9%) in patients \(\geq\)60 years. Family history was positive in 43% of all patients. Patients with a positive family history had a prevalence of deleterious variants of 31.6% (36.0%) versus 11.4% (17.6%) and histologic subtype of high grade serous ovarian cancer versus other showed a prevalence of deleterious variants of 23.2% (29.1%) and 10.2% (14.8%), respectively. Testing only for \(BRCA1/2\) would miss in our series more than 5% of the patients with a deleterious variant in established risk genes.

Conclusions
26.4% of all patients harbor at least one deleterious variant in established risk genes. The threshold of 10% mutation rate which is accepted for reimbursement by health care providers in Germany was observed in all subgroups analyzed and neither age at primary diagnosis nor histo-type or family history sufficiently enough could identify a subgroup not eligible for genetic counselling and testing. Genetic testing should therefore be offered to every patient with invasive epithelial ovarian cancer and limiting testing to \(BRCA1/2\) seems to be
not sufficient.
KW  - medicine
KW  - Genetic causes of cancer
KW  - ovarian cancer
KW  - cancer risk factors
KW  - histology
KW  - cancer detection and diagnosis
KW  - breast cancer
KW  - genetic testing
KW  - human genetics
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173553
VL  - 12
IS  - 10
ER  -