35 results on '"Siveke, Jens"'
Search Results
2. METAPANC: Phase-III-Studie zur multimodalen Therapie beim hepatisch oligometastasierten Adenokarzinom des Pankreas
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Jo, Peter, Ghadimi, Michael, Crede, Marie, Friede, Tim, Pelzer, Uwe, and Siveke, Jens
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- 2024
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3. Stroke and myocardial infarction induce neutrophil extracellular trap release disrupting lymphoid organ structure and immunoglobulin secretion
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Tuz, Ali A., Ghosh, Susmita, Karsch, Laura, Ttoouli, Dimitris, Sata, Sai P., Ulusoy, Özgür, Kraus, Andreas, Hoerenbaum, Nils, Wolf, Jan-Niklas, Lohmann, Sabrina, Zwirnlein, Franziska, Kaygusuz, Viola, Lakovic, Vivian, Tummes, Hannah-Lea, Beer, Alexander, Gallert, Markus, Thiebes, Stephanie, Qefalia, Altea, Cibir, Zülal, Antler, Medina, Korste, Sebastian, Haj Yehia, Elias, Michel, Lars, Rassaf, Tienush, Kaltwasser, Britta, Abdelrahman, Hossam, Mohamud Yusuf, Ayan, Wang, Chen, Yin, Dongpei, Haeusler, Lars, Lueong, Smiths, Richter, Mathis, Engel, Daniel R., Stenzel, Martin, Soehnlein, Oliver, Frank, Benedikt, Solo-Nomenjanahary, Mialitiana, Ho-Tin-Noé, Benoît, Siveke, Jens T., Totzeck, Matthias, Hoffmann, Daniel, Grüneboom, Anika, Hagemann, Nina, Hasenberg, Anja, Desilles, Jean-Philippe, Mazighi, Mikael, Sickmann, Albert, Chen, Jianxu, Hermann, Dirk M., Gunzer, Matthias, and Singh, Vikramjeet
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- 2024
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4. Three-month life expectancy as inclusion criterion for clinical trials in advanced pancreatic cancer: is it really a valid tool for patient selection?
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Weiss, Lena, Heinemann, Volker, Fischer, Laura E., Gieseler, Frank, Hoehler, Thomas, Mayerle, Julia, Quietzsch, Detlef, Reinacher-Schick, Anke, Schenk, Michael, Seipelt, Gernot, Siveke, Jens T., Stahl, Michael, Vehling-Kaiser, Ursula, Waldschmidt, Dirk T., Dorman, Klara, Zhang, Danmei, Westphalen, C. Benedikt, von Bergwelt-Baildon, Michael, Boeck, Stefan, and Haas, Michael
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- 2024
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5. P-move: a randomized control trial of exercise in patients with advanced pancreatic or biliary tract cancer (aPBC) receiving beyond first-line chemotherapy
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De Lazzari, Nico, Götte, Miriam, Kasper, Stefan, Meier, Eileen, Schuler, Martin, Pogorzelski, Michael, Siveke, Jens T., and Tewes, Mitra
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- 2024
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6. CellViT: Vision Transformers for precise cell segmentation and classification
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Hörst, Fabian, Rempe, Moritz, Heine, Lukas, Seibold, Constantin, Keyl, Julius, Baldini, Giulia, Ugurel, Selma, Siveke, Jens, Grünwald, Barbara, Egger, Jan, and Kleesiek, Jens
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- 2024
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7. Are histomorphological patterns a predictor for survival in uveal melanoma patients with hepatic metastases undergoing hepatic artery infusion chemotherapy?
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Steinberg‐Vorhoff, Hannah L, Ting, Saskia C, Zensen, Sebastian, Ludwig, Johannes M, Li, Yan, Richly, Heike, Grüneisen, Johannes, Siveke, Jens T, Theysohn, Jens M, and Schaarschmidt, Benedikt M
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HEPATIC artery ,INFUSION therapy ,CELL aggregation ,PALLIATIVE treatment ,OVERALL survival - Abstract
Introduction: In uveal melanoma (UM) patients with hepatic metastases, hepatic artery infusion chemotherapy (HAIC) is a viable, palliative treatment option. To evaluate the impact of two histomorphological patterns (spindle cell vs. epithelioid) of liver metastases on median overall survival (mOS) in UM patients undergoing HAIC. Methods: A retrospective analysis with 60 UM patients (29 females, mean age: 61.6 ± 12.1 years) with hepatic metastases was performed. Histomorphological patterns in metastases were analysed and classified as either predominant spindle cell or epithelioid pattern. mOS between both patient groups was analysed using Kaplan–Meier curves and the log‐rank test. Results: In 73.3% (44/60) of the metastases, a predominant epithelioid pattern, in 21.7% (13/60) a predominant spindle cell pattern, and in 5% (3/60) other patterns were found. No significant differences between patients with an epithelioid (mOS: 14.2 months, 95% CI: 8.8–19.6) and a spindle cell pattern (mOS: 14.4 months, 95% CI: 4.3–24.5) were detected by the log‐rank test, χ2(2) = 0.22, P = 0.881. Conclusion: Histomorphological patterns of UM metastases do not seem to be a predictor for mOS in UM patients undergoing HAIC. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Histology-Based Radiomics for [18F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer
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Smeets, Esther M.M., primary, Trajkovic-Arsic, Marija, additional, Geijs, Daan, additional, Karakaya, Sinan, additional, van Zanten, Monica, additional, Brosens, Lodewijk A.A., additional, Feuerecker, Benedikt, additional, Gotthardt, Martin, additional, Siveke, Jens T., additional, Braren, Rickmer, additional, Ciompi, Francesco, additional, and Aarntzen, Erik H.J.G., additional
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- 2024
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9. Prognostic Implications of68Ga-FAPI-46 PET/CT–Derived Parameters on Overall Survival in Various Types of Solid Tumors
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Watanabe, Masao, primary, Fendler, Wolfgang P., additional, Grafe, Hong, additional, Hirmas, Nader, additional, Hamacher, Rainer, additional, Lanzafame, Helena, additional, Pabst, Kim M., additional, Hautzel, Hubertus, additional, Aigner, Clemens, additional, Kasper, Stefan, additional, von Tresckow, Bastian, additional, Stuschke, Martin, additional, Kümmel, Sherko, additional, Lugnier, Celine, additional, Hadaschik, Boris, additional, Grünwald, Viktor, additional, Zarrad, Fadi, additional, Siveke, Jens T., additional, Herrmann, Ken, additional, and Weber, Manuel, additional
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- 2024
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10. Cell-mediated cytotoxicity within CSF and brain parenchyma in spinal muscular atrophy unaltered by nusinersen treatment
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Lu, I-Na, primary, Cheung, Phyllis Fung-Yi, additional, Heming, Michael, additional, Thomas, Christian, additional, Giglio, Giovanni, additional, Leo, Markus, additional, Erdemir, Merve, additional, Wirth, Timo, additional, König, Simone, additional, Dambietz, Christine A., additional, Schroeter, Christina B., additional, Nelke, Christopher, additional, Siveke, Jens T., additional, Ruck, Tobias, additional, Klotz, Luisa, additional, Haider, Carmen, additional, Höftberger, Romana, additional, Kleinschnitz, Christoph, additional, Wiendl, Heinz, additional, Hagenacker, Tim, additional, and Meyer zu Horste, Gerd, additional
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- 2024
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11. 68Ga-Fibroblast Activation Protein Inhibitor PET/CT Improves Detection of Intermediate and Low-Grade Sarcomas and Identifies Candidates for Radiopharmaceutical Therapy
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Lanzafame, Helena, primary, Mavroeidi, Ilektra A., additional, Pabst, Kim M., additional, Desaulniers, Mélanie, additional, Ingenwerth, Marc, additional, Hirmas, Nader, additional, Kessler, Lukas, additional, Nader, Michael, additional, Bartel, Timo, additional, Leyser, Stephan, additional, Barbato, Francesco, additional, Schuler, Martin, additional, Bauer, Sebastian, additional, Siveke, Jens T., additional, Herrmann, Ken, additional, Hamacher, Rainer, additional, and Fendler, Wolfgang P., additional
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- 2024
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12. Fibroblast Activation Protein-Directed Imaging Outperforms 18F-FDG PET/CT in Malignant Mesothelioma: A Prospective, Single-Center, Observational Trial.
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Kessler, Lukas, Schwaning, Felix, Metzenmacher, Martin, Pabst, Kim, Siveke, Jens, Trajkovic-Arsic, Marija, Schaarschmidt, Benedikt, Wiesweg, Marcel, Aigner, Clemens, Plönes, Till, Darwiche, Kaid, Bölükbas, Servet, Stuschke, Martin, Umutlu, Lale, Nader, Michael, Theegarten, Dirk, Hamacher, Rainer, Eberhardt, Wilfried E. E., Schuler, Martin, and Herrmann, Ken
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- 2024
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13. 68Ga-Fibroblast Activation Protein Inhibitor PET/CT Improves Detection of Intermediate and Low-Grade Sarcomas and Identifies Candidates for Radiopharmaceutical Therapy.
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Lanzafame, Helena, Mavroeidi, Ilektra A., Pabst, Kim M., Desaulniers, Mélanie, Ingenwerth, Marc, Hirmas, Nader, Kessler, Lukas, Nader, Michael, Bartel, Timo, Leyser, Stephan, Barbato, Francesco, Schuler, Martin, Bauer, Sebastian, Siveke, Jens T., Herrmann, Ken, Hamacher, Rainer, and Fendler, Wolfgang P.
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- 2024
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14. Prognostic Implications of 68Ga-FAPI-46 PET/CT-Derived Parameters on Overall Survival in Various Types of Solid Tumors.
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Watanabe, Masao, Fendler, Wolfgang P., Grafe, Hong, Hirmas, Nader, Hamacher, Rainer, Lanzafame, Helena, Pabst, Kim M., Hautzel, Hubertus, Aigner, Clemens, Kasper, Stefan, von Tresckow, Bastian, Stuschke, Martin, Kümmel, Sherko, Lugnier, Celine, Hadaschik, Boris, Grünwald, Viktor, Zarrad, Fadi, Siveke, Jens T., Herrmann, Ken, and Weber, Manuel
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- 2024
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15. Histology-Based Radiomics for [18F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer.
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Smeets, Esther M. M., Trajkovic-Arsic, Marija, Geijs, Daan, Karakaya, Sinan, van Zanten, Monica, Brosens, Lodewijk A. A., Feuerecker, Benedikt, Gotthardt, Martin, Siveke, Jens T., Braren, Rickmer, Ciompi, Francesco, and Aarntzen, Erik H. J. G.
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- 2024
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16. [68Ga]Ga-FAPI versus 2-[18F]FDG PET/CT in patients with autoimmune thyroiditis: a case control study.
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Pabst, Kim M., Kessler, Lukas, Ferdinandus, Justin, Hamacher, Rainer, Bartel, Timo, Siveke, Jens T., Nader, Michael, Brandenburg, Tim, Desaulniers, Mélanie, Herrmann, Ken, and Fendler, Wolfgang P.
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AUTOIMMUNE thyroiditis ,GLUCOSE metabolism ,THYROID gland ,OXYGEN consumption ,THYROID gland function tests ,CONTROL groups - Abstract
Purpose: Radiolabelled fibroblast activation protein inhibitors (FAPIs) are becoming increasingly important for imaging various tumour diseases. However, it is essential to be aware of potential pitfalls. Here, we investigate FAP expression in the thyroid gland in autoimmune thyroiditis (AIT). Methods: AIT patients with pathological thyroid uptake on [
68 Ga]Ga-FAPI PET were compared with glucose metabolism on 2-[18 F]FDG PET in terms of SUVmax /SUVpeak /SUVmean /tissue-to-background ratio (TBR), and with a healthy control group. Results: Between September 2019 and July 2021, 6 patients presented with a visually increased thyroid uptake and TBR on [68 Ga]Ga-FAPI PET. In the retrospective clinical work-up, all patients had known or newly diagnosed AIT. Compared to a matched healthy control group, FAP expression and glucose metabolism were significantly increased ([68 Ga]Ga-FAPI (SUVpeak ): 7.0 vs. 1.7; p = 0.004/(TBRbloodpool ): 6.8 vs. 1.7; p = 0.002; 2-[18 F]FDG (SUVpeak ): 3.9 vs. 1.4; p = 0.004/(TBRbloodpool ): 4.0 vs. 1.2; p = 0.041). However, there was no significant difference in median uptake between [68 Ga]Ga-FAPI and 2-[18F]FDG PET (SUVpeak : 7.3 vs. 5.6; p = 0.104). Conclusion: Patients with AIT show higher thyroid uptake on [68 Ga]Ga-FAPI and 2-[18 F]FDG PET. Incidental thyroid uptake is another pitfall in the interpretation of [68 Ga]Ga-FAPI PET and should prompt a clinical work-up. [ABSTRACT FROM AUTHOR]- Published
- 2024
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17. Theranostics with somatostatin receptor antagonists in SCLC: Correlation of 68Ga-SSO120 PET with immunohistochemistry and survival.
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Mavroeidi, Ilektra Antonia, Romanowicz, Anna, Haake, Tristan, Wienker, Johannes, Metzenmacher, Martin, Darwiche, Kaid, Oezkan, Filiz, Bölükbas, Servet, Stuschke, Martin, Umutlu, Lale, Opitz, Marcel, Nader, Michael, Hamacher, Rainer, Siveke, Jens, Winantea, Jane, Fendler, Wolfgang P., Wiesweg, Marcel, Eberhardt, Wilfried E. E., Herrmann, Ken, and Theegarten, Dirk
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- 2024
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18. Diagnostic Accuracy of68Ga-FAPI Versus18F-FDG PET in Patients with Various Malignancies
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Hirmas, Nader, primary, Hamacher, Rainer, additional, Sraieb, Miriam, additional, Kessler, Lukas, additional, Pabst, Kim M., additional, Barbato, Francesco, additional, Lanzafame, Helena, additional, Kasper, Stefan, additional, Nader, Michael, additional, Kesch, Claudia, additional, von Tresckow, Bastian, additional, Hautzel, Hubertus, additional, Aigner, Clemens, additional, Glas, Martin, additional, Stuschke, Martin, additional, Kümmel, Sherko, additional, Harter, Philipp, additional, Lugnier, Celine, additional, Uhl, Waldemar, additional, Hadaschik, Boris, additional, Grünwald, Viktor, additional, Siveke, Jens T., additional, Herrmann, Ken, additional, and Fendler, Wolfgang P., additional
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- 2024
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19. Multimodal single-cell profiling reveals cancer crosstalk between macrophages and stromal cells in poor prognostic cholangiocarcinoma patients
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Heij, Lara, primary, Hayat, Sikander, additional, Reichel, Konrad, additional, Maryam, Sidrah, additional, O’Rourke, Colm J., additional, Tan, Xiuxiang, additional, van den Braber, Marlous, additional, Verhoeff, Jan, additional, Halder, Maurice, additional, Peisker, Fabian, additional, Wiltberger, Georg, additional, Bednarsch, Jan, additional, Heise, Daniel, additional, Deierl, Julia Campello, additional, Lang, Sven A., additional, Ulmer, Florian, additional, Luedde, Tom, additional, Dahl, Edgar, additional, Jonigk, Danny, additional, Nolting, Jochen, additional, Sivakumar, Shivan, additional, Siveke, Jens, additional, Rocha, Flavio G., additional, Baba, Hideo A., additional, Andersen, Jesper B., additional, Garcia Vallejo, Juan J., additional, Kramann, Rafael, additional, and Neumann, Ulf, additional
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- 2024
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20. Development of a LRRC15-Targeted Radio-Immunotheranostic Approach to Deplete Pro-tumorigenic Mechanisms and Immunotherapy Resistance
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Storey, Claire M, primary, Altai, Mohamed, additional, Lückerath, Katharina, additional, Zedan, Wahed, additional, Zhu, Henan, additional, Trajkovic-Arsic, Marija, additional, Park, Julie, additional, Peekhaus, Norbert, additional, Siveke, Jens, additional, Lilljebjörn, Henrik, additional, Abou, Diane, additional, Marks, Haley, additional, Ulmert, Enna, additional, Lilja, Hans, additional, Ridley, Alexander, additional, Safi, Marcella, additional, Yuen, Constance, additional, Geres, Susanne, additional, Mao, Liqun, additional, Cheng, Michael, additional, Czernin, Johannes, additional, Herrmann, Ken, additional, Bentolila, Laurent, additional, Yang, Xia, additional, Fioretos, Thoas, additional, Graeber, Thomas, additional, Sjöström, Kjell, additional, Damoiseaux, Robert, additional, Thorek, Daniel, additional, and Ulmert, David, additional
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- 2024
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21. Development of Potent Dual BET/HDAC Inhibitors via Pharmacophore Merging and Structure-Guided Optimization
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Bauer, Nicolas, primary, Balourdas, Dimitrios-Ilias, additional, Schneider, Joel R., additional, Zhang, Xin, additional, Berger, Lena M., additional, Berger, Benedict-Tilman, additional, Schwalm, Martin P., additional, Klopp, Nick A., additional, Siveke, Jens T., additional, Knapp, Stefan, additional, and Joerger, Andreas C., additional
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- 2024
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22. Pancreatic cancer acquires resistance to MAPK pathway inhibition by clonal expansion and adaptive DNA hypermethylation
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Godfrey, Laura K., primary, Forster, Jan, additional, Liffers, Sven-Thorsten, additional, Schröder, Christopher, additional, Köster, Johannes, additional, Henschel, Leonie, additional, Ludwig, Kerstin U., additional, Lähnemann, David, additional, Trajkovic-Arsic, Marija, additional, Behrens, Diana, additional, Scarpa, Aldo, additional, Lawlor, Rita T., additional, Witzke, Kathrin E., additional, Sitek, Barbara, additional, Johnsen, Steven A., additional, Rahmann, Sven, additional, Horsthemke, Bernhard, additional, Zeschnigk, Michael, additional, and Siveke, Jens T., additional
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- 2024
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23. Minimally invasive determination of PDAC subtype and therapy-induced subtype switch by means of circulating cell-free RNA
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Lueong, Smiths, primary, Metzenmacher, Martin, additional, Trajkovic-Arsic, Marija, additional, Cheung, Phyllis F. Y., additional, Reißig, Timm M., additional, von Neuhoff, Nils, additional, Grainne, O'Kane, additional, Gallinger, Steven, additional, Ramotar, Stephanie, additional, Dodd, Anna, additional, Knox, Jennifer J, additional, Muckenhuber, Alexander, additional, Kunzmann, Volker, additional, Horn, Peter A., additional, Hoheisel, Jörg D., additional, and Siveke, Jens Thomas, additional
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- 2024
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24. Fibroblast Activation Protein α–Directed Imaging and Therapy of Solitary Fibrous Tumor
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Hamacher, Rainer, primary, Pabst, Kim M., additional, Cheung, Phyllis F., additional, Heilig, Christoph E., additional, Hüllein, Jennifer, additional, Liffers, Sven-Thorsten, additional, Borchert, Sabrina, additional, Costa, Pedro Fragoso, additional, Schaarschmidt, Benedikt M., additional, Kessler, Lukas, additional, Miera, Monika A., additional, Droste, Margret, additional, Akbulut, Merve, additional, Falkenhorst, Johanna, additional, Zarrad, Fadi, additional, Kostbade, Karina, additional, Mavroeidi, Ilektra A., additional, Glimm, Hanno, additional, Umutlu, Lale, additional, Schuler, Martin, additional, Hübschmann, Daniel, additional, Bauer, Sebastian, additional, Fröhling, Stefan, additional, Herrmann, Ken, additional, Siveke, Jens T., additional, Schildhaus, Hans-Ulrich, additional, and Fendler, Wolfgang P., additional
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- 2024
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25. METAPANC
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Jo, Peter, Ghadimi, Michael, Crede, Marie, Friede, Tim, Pelzer, Uwe, and Siveke, Jens
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- 2024
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26. Author Correction: Combined inhibition of BET family proteins and histone deacetylases as a potential epigenetics-based therapy for pancreatic ductal adenocarcinoma
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Mazur, Pawel K., Herner, Alexander, Mello, Stephano S., Wirth, Matthias, Hausmann, Simone, Sánchez-Rivera, Francisco J., Lofgren, Shane M., Kuschma, Timo, Hahn, Stephan A., Vangala, Deepak, Trajkovic-Arsic, Marija, Gupta, Aayush, Heid, Irina, Noël, Peter B., Braren, Rickmer, Erkan, Mert, Kleeff, Jörg, Sipos, Bence, Sayles, Leanne C., Heikenwalder, Mathias, Heßmann, Elisabeth, Ellenrieder, Volker, Esposito, Irene, Jacks, Tyler, Bradner, James E., Khatri, Purvesh, Sweet-Cordero, E. Alejandro, Attardi, Laura D., Schmid, Roland M., Schneider, Guenter, Sage, Julien, and Siveke, Jens T.
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- 2024
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27. Minimally invasive determination of pancreatic ductal adenocarcinoma (PDAC) subtype by means of circulating cell‐free RNA.
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Metzenmacher, Martin, Zaun, Gregor, Trajkovic‐Arsic, Marija, Cheung, Phyllis, Reissig, Timm M., Schürmann, Hendrik, Neuhoff, Nils, O'Kane, Grainne, Ramotar, Stephanie, Dodd, Anna, Gallinger, Steven, Muckenhuber, Alexander, Knox, Jennifer J., Kunzmann, Volker, Horn, Peter A., Hoheisel, Jörg D., Siveke, Jens T., and Lueong, Smiths S.
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PANCREATIC duct , *DISEASE relapse , *TUMOR markers , *TRANSCRIPTOMES , *PROTEOMICS , *CIRCULATING tumor DNA - Abstract
Pancreatic ductal adenocarcinoma (PDAC) comprises two clinically relevant molecular subtypes that are currently determined using tissue biopsies, which are spatially biased and highly invasive. We used whole transcriptome sequencing of 10 plasma samples with tumor‐informed subtypes, complemented by proteomic analysis for minimally invasive identification of PDAC subtype markers. Data were validated in independent large cohorts and correlated with treatment response and patient outcome. Differential transcript abundance analyses revealed 32 subtype‐specific, protein‐coding cell‐free RNA (cfRNA) transcripts. The subtype specificity of these transcripts was validated in two independent tissue cohorts comprising 195 and 250 cases, respectively. Three disease‐relevant cfRNA‐defined subtype markers (DEGS1, KDELC1, and RPL23AP7) that consistently associated with basal‐like tumors across all cohorts were identified. In both tumor and liquid biopsies, the overexpression of these markers correlated with poor survival. Moreover, elevated levels of the identified markers were linked to a poor response to systemic therapy and early relapse in resected patients. Our data indicate clinical applicability of cfRNA markers in determining tumor subtypes and monitoring disease recurrence. [ABSTRACT FROM AUTHOR]
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- 2024
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28. Incidence and survival of patients with malignant pancreatic neuroendocrine neoplasms in Germany, 2009-2021.
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Stang A, Wellmann I, Holleczek B, Kim-Wanner SZ, Müller-Nordhorn J, Sirri E, Wittenberg I, Siveke JT, and Kajüter H
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Background: Due to the rarity of pancreatic neuroendocrine neoplasms, only few population-representative studies on incidence and survival have been conducted. The aim was to provide up-to-date nationwide incidence and relative survival estimates of neuroendocrine (NE) neoplasms overall, NE tumors (NETs), NE carcinomas (NECs), and mixed NE neoplasms (MiNEN)., Methods: We distinguished between pancreatic NETs (functioning versus non-functioning), NECs and mixed NE neoplasms and analyzed data from 2009 through 2021 from all German cancer registries covering a population of more than 80 million. We calculated crude and age-standardized incidence rates and 5-year relative survival estimates (RS)., Results: Overall 6474, 4217, and 243 patients with pancreatic NETs, NECs, and mixed NE neoplasms, respectively were registered. While the age-standardized incidence of NETs has increased (+16.4 % per year, 95 %CI 12.2;20.7), the incidence of NEC has fallen (about -6.4 % per year, 95 %CI -8.0; -4.8). The crude RS was 77.7 % (standard error [SE] 0.9) for non-functioning NETs, 90.3 % for functioning NETs (SE 3.9), and 18.5 % (SE 3.9) for MiNEN. Large and small cell NECs had a low RS (9.1 % and 6.9 %, respectively). RS for G1 NETs was 88.2 %, while it was only 36.6 % for G3 NETs. Localized NETs had a RS of 92.8 %, while distant metastatic NETs had a RS of 45.0 %., Conclusions: The incidence of pancreatic NETs has increased markedly in Germany in the period 2009-2021. Subgroups of NETs (G1 grading or localized stage) have an excellent prognosis. RS of MiNEN is more similar to NECs than NETs., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: J.T.S. receives honoraria as consultant or for continuing medical education presentations from AstraZeneca, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Immunocore, MSD Sharp Dohme, Novartis, Roche/Genentech, and Servier. His institution receives research funding from Abalos Therapeutics, AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eisbach Bio, and Roche/Genentech; he holds ownership in FAPI Holding (< 3 %); all outside the submitted work., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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29. Theranostics with somatostatin receptor antagonists in SCLC: Correlation of 68 Ga-SSO120 PET with immunohistochemistry and survival.
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Mavroeidi IA, Romanowicz A, Haake T, Wienker J, Metzenmacher M, Darwiche K, Oezkan F, Bölükbas S, Stuschke M, Umutlu L, Opitz M, Nader M, Hamacher R, Siveke J, Winantea J, Fendler WP, Wiesweg M, Eberhardt WEE, Herrmann K, Theegarten D, Schuler M, Hautzel H, and Kersting D
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- Humans, Female, Male, Aged, Middle Aged, Gallium Radioisotopes, Prognosis, Aged, 80 and over, Adult, Retrospective Studies, Survival Analysis, Radiopharmaceuticals, Somatostatin metabolism, Theranostic Nanomedicine methods, Positron-Emission Tomography methods, Receptors, Somatostatin metabolism, Small Cell Lung Carcinoma diagnostic imaging, Small Cell Lung Carcinoma drug therapy, Small Cell Lung Carcinoma metabolism, Small Cell Lung Carcinoma pathology, Small Cell Lung Carcinoma mortality, Immunohistochemistry methods, Lung Neoplasms drug therapy, Lung Neoplasms metabolism, Lung Neoplasms diagnostic imaging, Lung Neoplasms pathology, Lung Neoplasms mortality, Positron Emission Tomography Computed Tomography methods
- Abstract
Rationale: Positron Emission Tomography (PET) using the somatostatin receptor 2 (SSTR2)-antagonist satoreotide trizoxetan (
68 Ga-SSO120) is a novel, promising imaging modality for small-cell lung cancer (SCLC), which holds potential for theranostic applications. This study aims to correlate uptake in PET imaging with SSTR2 expression in immunohistochemistry (IHC) and to assess the prognostic value of68 Ga-SSO120 PET at initial staging of patients with SCLC. Methods: We analyzed patients who underwent68 Ga-SSO120 PET/CT during initial diagnostic workup of SCLC as part of institutional standard-of-care. SSTR2 expression in IHC was evaluated on a 4-level scale and correlated with normalized standardized uptake values and tumor-to-liver ratios (SUVmax and TLRpeak ) in68 Ga-SSO120 PET on a lesion level. Highest lesion SUVmax /TLRpeak per patient, SSTR2 score in IHC, M status according to TNM classification, and other parameters were analyzed for association with overall survival (OS) and time to treatment failure (TTF) by univariate, multivariate (cut-off values were identified on data for best separation), and stratified Cox regression. Results: We included 54 patients (24 men/30 women, median age 65 years, 21 M0/33 M1 according to TNM classification). In 43 patients with available surplus tumor tissue samples, hottest lesion SUVmax /TLRpeak showed a significant correlation with the level of SSTR2-expression by tumor cells in IHC (Spearman's rho 0.86/0.81, both p < 0.001; ANOVA p < 0.001). High SSTR2 expression in IHC,68 Ga-SSO120 SUVmax and TLRpeak of the hottest lesion per patient, whole-body TLRmean , MTV, TLG, M status, and serum LDH showed a significant association with inferior TTF/OS in univariate analysis. In separate multivariate Cox regression (including sex, age, M stage, and LDH) higher hottest-lesion TLRpeak showed a significant association with shorter OS (HR = 0.26, 95%CI: 0.08-0.84, p = 0.02) and SSTR2 expression in IHC with significantly shorter TTF (HR = 0.24, 95%CI: 0.08-0.71, p = 0.001) and OS (HR = 0.22, 95%CI: 0.06-0.84, p = 0.03). In total, 12 patients (22.2%) showed low (< 1), 21 (38.9%) intermediate (≥ 1 but < 2), 14 (25.9%) high (≥ 2 but < 5), and 7 (13.0%) very high (≥ 5) whole-body mean TLRmean . Conclusion: In patients with SCLC, SSTR2 expression assessed by68 Ga-SSO120 PET and by IHC were closely correlated and associated with shorter survival. More than 75% of patients showed higher whole-body68 Ga-SSO120 tumor uptake than liver uptake and almost 40% high or very high uptake, possibly paving the way towards theranostic applications., Competing Interests: Competing Interests: Filiz Oezkan received personal fees from Sanofi Aventis, Janssen, DeciBio, ERBE and Genentech/Roche Ltd.; program funding to the institution was received from Olympus, Astrazeneca, ERBE and Janssen, all outside the submitted work. Lale Umutlu is a Speaker / Advisory Board Member for Bayer Healthcare and Siemens Healthcare and received research grants from Siemens Healthcare outside the submitted work. Rainer Hamacher was supported by the Clinician Scientist Program of the University Medicine Essen Clinician Scientist Academy (UMEA; Faculty of Medicine and Deutsche Forschungsgemeinschaft [DFG]); reports travel grants from Lilly, Novartis, and PharmaMar; and reports personal fees from Lilly and PharmaMar outside the submitted work. Jens Siveke is supported by German Cancer Aid (grant 70112505, PIPAC; grant 70113834, PREDICT-PACA), the Wilhelm-Sander Foundation (grant 2019.008.1), the DFG through grant SI1549/3-1 (Clinical Research Unit KFO337) and SI1549/4-1, and the Federal Ministry of Education and Research (BMBF; SATURN3 consortium); receives honoraria as a consultant or for continuing medical education presentations from AstraZeneca, Bayer, Immunocore, Roche, and Servier; receives research funding (to the institution) from Bristol Myers Squibb, Celgene, and Roche; and holds ownership and serves on the board of directors of Pharma15—all outside the submitted work. Wolfgang Fendler reports fees from SOFIE Biosciences (research funding), Janssen (consultant, speaker), Calyx (consultant, image review), Bayer (consultant, speaker, research funding), Novartis (speaker, consultant), Telix (speaker), GE Healthcare (speaker), Eczacıbaşı Monrol (speaker), Abx (speaker), Amgen (speaker), and Urotrials, all outside the submitted work. Marcel Wiesweg reports honoraria and advisory role from Amgen, AstraZeneca, Daiichi Sankyo, GlaxoSmithKline, Janssen, Novartis, Pfizer, Roche, Takeda, and research funding from Bristol-Myers Squibb, Takeda outside the submitted work. Ken Herrmann reports personal fees from Bayer, personal fees and other from Sofie Biosciences, personal fees from SIRTEX, non-financial support from ABX, personal fees from Adacap, personal fees from Curium, personal fees from Endocyte, grants and personal fees from BTG, personal fees from IPSEN, personal fees from Siemens Healthineers, personal fees from GE Healthcare, personal fees from Amgen, personal fees from Novartis, personal fees from ymabs, personal fees from Aktis Oncology, personal fees from Theragnostics, personal fees from Pharma15, outside the submitted work. Martin Schuler reports personal fees as a consultant from Amgen, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, GlaxoSmithKline, Janssen, Merck Serono, Novartis, Roche, Sanofi, and Takeda; honoraria for continuing medical education presentations from Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Janssen, MSD, and Novartis; and research funding (to the institution) from AstraZeneca and Bristol Myers Squibb, all outside the submitted work. Hubertus Hautzel reports personal fees from Roche and Urenco, and other fees from Pari, Roche and Urenco, outside the submitted work. David Kersting reports speaker honoraria from Pfizer and Novartis outside the submitted work. A research grant from Pfizer outside the submitted work and funding by the German Research Foundation (DFG, KE2933/1-1), outside the submitted work., (© The author(s).)- Published
- 2024
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30. Fibroblast Activation Protein-Directed Imaging Outperforms 18 F-FDG PET/CT in Malignant Mesothelioma: A Prospective, Single-Center, Observational Trial.
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Kessler L, Schwaning F, Metzenmacher M, Pabst K, Siveke J, Trajkovic-Arsic M, Schaarschmidt B, Wiesweg M, Aigner C, Plönes T, Darwiche K, Bölükbas S, Stuschke M, Umutlu L, Nader M, Theegarten D, Hamacher R, Eberhardt WEE, Schuler M, Herrmann K, Fendler WP, and Hautzel H
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- Humans, Male, Female, Aged, Prospective Studies, Middle Aged, Membrane Proteins metabolism, Serine Endopeptidases metabolism, Lung Neoplasms diagnostic imaging, Lung Neoplasms metabolism, Aged, 80 and over, Positron Emission Tomography Computed Tomography methods, Fluorodeoxyglucose F18, Mesothelioma diagnostic imaging, Mesothelioma metabolism, Endopeptidases, Mesothelioma, Malignant diagnostic imaging, Mesothelioma, Malignant metabolism, Gelatinases metabolism
- Abstract
The fibroblast activation protein (FAP) is highly expressed in tumor and stromal cells of mesothelioma and thus is an interesting imaging and therapeutic target. Previous data on PET imaging with radiolabeled FAP inhibitors (FAPIs) suggest high potential for superior tumor detection. Here, we report the data of a large malignant pleural mesothelioma cohort within a
68 Ga-FAPI46 PET observational trial (NCT04571086). Methods: Of 43 eligible patients with suspected or proven malignant mesothelioma, 41 could be included in the data analysis of the68 Ga-FAPI46 PET observational trial. All patients underwent68 Ga-FAPI46 PET/CT, contrast-enhanced CT, and18 F-FDG PET/CT. The primary study endpoint was the association of68 Ga-FAPI46 PET uptake intensity and histopathologic FAP expression. Furthermore, secondary endpoints were detection rate and sensitivity, specificity, and positive and negative predictive values as compared with18 F-FDG PET/CT. Datasets were interpreted by 2 masked readers. Results: The primary endpoint was met, and the association between68 Ga-FAPI46 SUVmax or SUVpeak and histopathologic FAP expression was significant (SUVmax : r = 0.49, P = 0.037; SUVpeak : r = 0.51, P = 0.030).68 Ga-FAPI46 and18 F-FDG showed similar sensitivity by histopathologic validation on a per-patient (100.0% vs. 97.3%) and per region (98.0% vs. 95.9%) basis. Per-region analysis revealed higher68 Ga-FAPI46 than18 F-FDG specificity (81.1% vs. 36.8%) and positive predictive value (87.5% vs. 66.2%). Conclusion: We confirm an association of68 Ga-FAPI46 uptake and histopathologic FAP expression in mesothelioma patients. Additionally, we report high sensitivity and superior specificity and positive predictive value for68 Ga-FAPI46 versus18 F-FDG., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2024
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31. [ 68 Ga]Ga-FAPI versus 2-[ 18 F]FDG PET/CT in patients with autoimmune thyroiditis: a case control study.
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Pabst KM, Kessler L, Ferdinandus J, Hamacher R, Bartel T, Siveke JT, Nader M, Brandenburg T, Desaulniers M, Herrmann K, and Fendler WP
- Abstract
Purpose: Radiolabelled fibroblast activation protein inhibitors (FAPIs) are becoming increasingly important for imaging various tumour diseases. However, it is essential to be aware of potential pitfalls. Here, we investigate FAP expression in the thyroid gland in autoimmune thyroiditis (AIT)., Methods: AIT patients with pathological thyroid uptake on [
68 Ga]Ga-FAPI PET were compared with glucose metabolism on 2-[18 F]FDG PET in terms of SUVmax /SUVpeak /SUVmean /tissue-to-background ratio (TBR), and with a healthy control group., Results: Between September 2019 and July 2021, 6 patients presented with a visually increased thyroid uptake and TBR on [68 Ga]Ga-FAPI PET. In the retrospective clinical work-up, all patients had known or newly diagnosed AIT. Compared to a matched healthy control group, FAP expression and glucose metabolism were significantly increased ([68 Ga]Ga-FAPI (SUVpeak ): 7.0 vs. 1.7; p = 0.004/(TBRbloodpool ): 6.8 vs. 1.7; p = 0.002; 2-[18 F]FDG (SUVpeak ): 3.9 vs. 1.4; p = 0.004/(TBRbloodpool ): 4.0 vs. 1.2; p = 0.041). However, there was no significant difference in median uptake between [68 Ga]Ga-FAPI and 2-[18F]FDG PET (SUVpeak : 7.3 vs. 5.6; p = 0.104)., Conclusion: Patients with AIT show higher thyroid uptake on [68 Ga]Ga-FAPI and 2-[18 F]FDG PET. Incidental thyroid uptake is another pitfall in the interpretation of [68 Ga]Ga-FAPI PET and should prompt a clinical work-up., (© 2024. The Author(s).)- Published
- 2024
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32. Histology-Based Radiomics for [ 18 F]FDG PET Identifies Tissue Heterogeneity in Pancreatic Cancer.
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Smeets EMM, Trajkovic-Arsic M, Geijs D, Karakaya S, van Zanten M, Brosens LAA, Feuerecker B, Gotthardt M, Siveke JT, Braren R, Ciompi F, and Aarntzen EHJG
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- Humans, Female, Male, Middle Aged, Aged, Monocarboxylic Acid Transporters metabolism, Carcinoma, Pancreatic Ductal diagnostic imaging, Carcinoma, Pancreatic Ductal pathology, Carcinoma, Pancreatic Ductal metabolism, Image Processing, Computer-Assisted, Positron Emission Tomography Computed Tomography, Muscle Proteins metabolism, Radiopharmaceuticals, Positron-Emission Tomography, Radiomics, Pancreatic Neoplasms diagnostic imaging, Pancreatic Neoplasms pathology, Pancreatic Neoplasms metabolism, Fluorodeoxyglucose F18
- Abstract
Radiomics features can reveal hidden patterns in a tumor but usually lack an underlying biologic rationale. In this work, we aimed to investigate whether there is a correlation between radiomics features extracted from [
18 F]FDG PET images and histologic expression patterns of a glycolytic marker, monocarboxylate transporter-4 (MCT4), in pancreatic cancer. Methods: A cohort of pancreatic ductal adenocarcinoma patients ( n = 29) for whom both tumor cross sections and [18 F]FDG PET/CT scans were available was used to develop an [18 F]FDG PET radiomics signature. By using immunohistochemistry for MCT4, we computed density maps of MCT4 expression and extracted pathomics features. Cluster analysis identified 2 subgroups with distinct MCT4 expression patterns. From corresponding [18 F]FDG PET scans, radiomics features that associate with the predefined MCT4 subgroups were identified. Results: Complex heat map visualization showed that the MCT4-high/heterogeneous subgroup was correlating with a higher MCT4 expression level and local variation. This pattern linked to a specific [18 F]FDG PET signature, characterized by a higher SUVmean and SUVmax and second-order radiomics features, correlating with local variation. This MCT4-based [18 F]FDG PET signature of 7 radiomics features demonstrated prognostic value in an independent cohort of pancreatic cancer patients ( n = 71) and identified patients with worse survival. Conclusion: Our cross-modal pipeline allows the development of PET scan signatures based on immunohistochemical analysis of markers of a particular biologic feature, here demonstrated on pancreatic cancer using intratumoral MCT4 expression levels to select [18 F]FDG PET radiomics features. This study demonstrated the potential of radiomics scores to noninvasively capture intratumoral marker heterogeneity and identify a subset of pancreatic ductal adenocarcinoma patients with a poor prognosis., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2024
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33. Prognostic Implications of 68 Ga-FAPI-46 PET/CT-Derived Parameters on Overall Survival in Various Types of Solid Tumors.
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Watanabe M, Fendler WP, Grafe H, Hirmas N, Hamacher R, Lanzafame H, Pabst KM, Hautzel H, Aigner C, Kasper S, von Tresckow B, Stuschke M, Kümmel S, Lugnier C, Hadaschik B, Grünwald V, Zarrad F, Siveke JT, Herrmann K, and Weber M
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- Humans, Male, Female, Middle Aged, Aged, Prognosis, Adult, Survival Analysis, Aged, 80 and over, Fluorodeoxyglucose F18, Quinolines, Positron Emission Tomography Computed Tomography, Neoplasms diagnostic imaging, Neoplasms pathology
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Tumoral fibroblast activation protein expression is associated with proliferation and angiogenesis and can be visualized by PET/CT. We examined the prognostic value of [
68 Ga]Ga-fibroblast activation protein inhibitor (FAPI) (68 Ga-FAPI)-46 PET/CT for different tumor entities in patients enrolled in 2 prospective imaging studies (NCT05160051, n = 30; NCT04571086, n = 115). Methods: Within 4 wk, 145 patients underwent68 Ga-FAPI-46 and [18 F]FDG (18 F-FDG) PET/CT. The association between overall survival (OS) and sex, age, tumor entity, total lesion number, highest SUVmax , and the presence of each nodal, visceral, and bone metastasis was tested using univariate Cox regression analysis. Multivariate analyses were performed for prognostic factors with P values of less than 0.05. Results: In the univariate analysis, shorter OS was associated with total lesion number and the presence of nodal, visceral, and bone metastases on68 Ga-FAPI-46 PET/CT (hazard ratio [HR], 1.06, 2.18, 1.69, and 2.05; P < 0.01, < 0.01, = 0.04, and = 0.02, respectively) and18 F-FDG PET/CT (HR, 1.05, 2.31, 1.76, and 2.30; P < 0.01, < 0.01, = 0.03, and < 0.01, respectively) and with SUVmax on68 Ga-FAPI-46 PET/CT (HR, 1.03; P = 0.03). In the multivariate analysis, total lesion number on68 Ga-FAPI-46 PET/CT was an independent risk factor for shorter OS (HR, 1.05; P = 0.02). In patients with pancreatic cancer, shorter OS was associated with total lesion number on68 Ga-FAPI-46 PET/CT (HR, 1.09; P < 0.01) and bone metastases on18 F-FDG PET/CT (HR, 31.39; P < 0.01) in the univariate analysis and with total lesion number on68 Ga-FAPI-46 PET/CT (HR, 1.07; P = 0.04) in the multivariate analyses. In breast cancer, total lesion number on68 Ga-FAPI-46 PET/CT (HR, 1.07; P = 0.02), as well as bone metastases on18 F-FDG PET/CT (HR, 9.64; P = 0.04), was associated with shorter OS in the univariate analysis. The multivariate analysis did not reveal significant prognostic factors. In thoracic cancer (lung cancer and pleural mesothelioma), the univariate and multivariate analyses did not reveal significant prognostic factors. Conclusion: Disease extent on68 Ga-FAPI-46 PET/CT is a predictor of short OS and may aid in future risk stratification by playing a supplemental role alongside18 F-FDG PET/CT., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2024
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34. 68 Ga-Fibroblast Activation Protein Inhibitor PET/CT Improves Detection of Intermediate and Low-Grade Sarcomas and Identifies Candidates for Radiopharmaceutical Therapy.
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Lanzafame H, Mavroeidi IA, Pabst KM, Desaulniers M, Ingenwerth M, Hirmas N, Kessler L, Nader M, Bartel T, Leyser S, Barbato F, Schuler M, Bauer S, Siveke JT, Herrmann K, Hamacher R, and Fendler WP
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- Humans, Male, Female, Middle Aged, Adult, Aged, Young Adult, Neoplasm Grading, Gallium Radioisotopes, Endopeptidases, Aged, 80 and over, Prospective Studies, Adolescent, Gelatinases metabolism, Gelatinases antagonists & inhibitors, Serine Endopeptidases metabolism, Membrane Proteins metabolism, Quinolines, Positron Emission Tomography Computed Tomography, Sarcoma diagnostic imaging, Sarcoma metabolism, Sarcoma therapy, Radiopharmaceuticals
- Abstract
Fibroblast activation protein-α (FAP) is often highly expressed by sarcoma cells and by sarcoma-associated fibroblasts in the tumor microenvironment. This makes it a promising target for imaging and therapy. The level of FAP expression and the diagnostic value of
68 Ga-FAP inhibitor (FAPI) PET for sarcoma subtypes are unknown. We assessed the diagnostic performance and accuracy of68 Ga-FAPI PET in various bone and soft-tissue sarcomas. Potential eligibility for FAP-targeted radiopharmaceutical therapy (FAP-RPT) was evaluated. Methods: This prospective observational trial enrolled 200 patients with bone and soft-tissue sarcoma who underwent68 Ga-FAPI PET/CT and18 F-FDG PET/CT (186/200, or 93%) for staging or restaging. The number of lesions detected and the uptake (SUVmax ) of the primary tumor, lymph nodes, and visceral and bone metastases were analyzed. The Wilcoxon test was used for semiquantitative assessment. The association of68 Ga-FAPI uptake intensity, histopathologic grade, and FAP expression in sarcoma biopsy samples was analyzed using Spearman r correlation. The impact of68 Ga-FAPI PET on clinical management was investigated using questionnaires before and after PET/CT. Eligibility for FAP-RPT was defined by an SUVmax greater than 10 for all tumor regions. Results:68 Ga-FAPI uptake was heterogeneous among sarcoma subtypes. The 3 sarcoma entities with the highest uptake (mean SUVmax ± SD) were solitary fibrous tumor (24.7 ± 11.9), undifferentiated pleomorphic sarcoma (18.8 ± 13.1), and leiomyosarcoma (15.2 ± 10.2). Uptake of68 Ga-FAPI versus18 F-FDG was significantly higher in low-grade sarcomas (10.4 ± 8.5 vs. 7.0 ± 4.5, P = 0.01) and in potentially malignant intermediate or unpredictable sarcomas without a World Health Organization grade (not applicable [NA]; 22.3 ± 12.5 vs. 8.5 ± 10.0, P = 0.0004), including solitary fibrous tumor. The accuracy, as well as the detection rates, of68 Ga-FAPI was higher than that of18 F-FDG in low-grade sarcomas (accuracy, 92.2 vs. 80.0) and NA sarcomas (accuracy, 96.9 vs. 81.9).68 Ga-FAPI uptake and the histopathologic FAP expression score ( n = 89) were moderately correlated (Spearman r = 0.43, P < 0.0002). Of 138 patients, 62 (45%) with metastatic sarcoma were eligible for FAP-RPT. Conclusion: In patients with low-grade and NA sarcomas,68 Ga-FAPI PET demonstrates uptake, detection rates, and accuracy superior to those of18 F-FDG PET.68 Ga-FAPI PET criteria identified eligibility for FAP-RPT in about half of sarcoma patients., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2024
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35. Diagnostic Accuracy of 68 Ga-FAPI Versus 18 F-FDG PET in Patients with Various Malignancies.
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Hirmas N, Hamacher R, Sraieb M, Kessler L, Pabst KM, Barbato F, Lanzafame H, Kasper S, Nader M, Kesch C, von Tresckow B, Hautzel H, Aigner C, Glas M, Stuschke M, Kümmel S, Harter P, Lugnier C, Uhl W, Hadaschik B, Grünwald V, Siveke JT, Herrmann K, and Fendler WP
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- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Quinolines, Fluorodeoxyglucose F18, Neoplasms diagnostic imaging, Positron-Emission Tomography
- Abstract
To assess the diagnostic accuracy of
68 Ga-labeled fibroblast activation protein inhibitor (FAPI) and18 F-labeled FDG PET for the detection of various tumors, we performed a head-to-head comparison of both imaging modalities across a range of tumor entities as part of our ongoing68 Ga-FAPI PET observational trial. Methods: The study included 115 patients with 8 tumor entities who received imaging with68 Ga-FAPI for tumor staging or restaging between October 2018 and March 2022. Of those, 103 patients received concomitant imaging with68 Ga-FAPI and18 F-FDG PET and had adequate lesion validation for accuracy analysis. Each scan was evaluated for the detection of primary tumor, lymph nodes, and visceral and bone metastases. True or false positivity and negativity to detected lesions was assigned on the basis of histopathology from biopsies or surgical excision, as well as imaging validation. Results:68 Ga-FAPI PET revealed higher accuracy than18 F-FDG PET in the detection of colorectal cancer ( n = 14; per-patient, 85.7% vs. 78.6%; per-region, 95.6% vs. 91.1%) and prostate cancer ( n = 22; per-patient, 100% vs. 90.9%; per-region, 96.4% vs. 92.7%).68 Ga-FAPI PET and18 F-FDG PET had comparable per-patient accuracy in detecting breast cancer ( n = 16, 100% for both) and head and neck cancers ( n = 10, 90% for both modalities).68 Ga-FAPI PET had lower per-patient accuracy than18 F-FDG PET in cancers of the bladder ( n = 12, 75% vs. 100%) and kidney ( n = 10, 80% vs. 90%), as well as lymphoma ( n = 9, 88.9% vs. 100%) and myeloma ( n = 10, 80% vs. 90%). Conclusion:68 Ga-FAPI PET demonstrated higher diagnostic accuracy than18 F-FDG PET in the diagnosis of colorectal cancer and prostate cancer, as well as comparable diagnostic performance for cancers of the breast and head and neck. Accuracy and impact on management will be further assessed in an ongoing prospective interventional trial (NCT05160051)., (© 2024 by the Society of Nuclear Medicine and Molecular Imaging.)- Published
- 2024
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