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212Average days
210.5Median days
100Fastest days
391Longest days
4542025 publications

Paper Review Records

All Paper Review Records

16 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

308 days

Durable clinical and immunologic response to an off-the-shelf EWSR1–FLI1 peptide vaccine in metastatic Ewing sarcoma

Authors
Branko Calukovic; Katrin Benzler; Henning Zelba; Christian Seitz; Simone Kayser; Magdalena Feldhahn; Borong Shao; Martin Schulze; Olga Maksimovic; Veit Scheble; Florian Battke; Lars Zender; Ulrich M. Lauer; Saskia Biskup; Christoph K. W. DeinzerShow moreShow less
Affiliations
1. Department of Internal Medicine VIII - Medical Oncology and Pneumology, University Hospital Tübingen, Tübingen, Germany; 2. Center for Soft Tissue Sarcomas, GIST and Bone Tumors (ZWS) of the University Hospital Tübingen and the Comprehensive Cancer Center (CCC) Tübingen-Stuttgart, Tübingen, Germany; 3. DFG Cluster of Excellence 2180 ‘Image-Guided and Functional Instructed Tumor Therapy’ (iFIT), University of Tübingen, Tübingen, Germany; 4. Center for Human Genetics Tübingen, Tübingen, Germany; 5. Hopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg University Hospital and German Cancer Research Center (DKFZ), Heidelberg, Germany; 6. Department of Pediatric Oncology, Hematology, and Immunology, Heidelberg University Hospital, Heidelberg, Germany; 7. Department of General Pediatrics, Hematology and Oncology, University Children’s Hospital, Tübingen, Germany; 8. CeGaT GmbH, Tübingen, Germany; 9. MVZ Oncology Tübingen, Tübingen, Germany; 10. German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Tübingen, GermanyShow moreShow less
Source PDF DOI Publisher page
117 days

Functional profiling of ovarian cancer models reveals Bcl-xL/NOTCH targeting to overcome resistance

Authors
Greta Gudoityte; Olena Berkovska; Lukas M. Orre; Elisabeth Moussaud-Lamodière; Rebecka Bergström; Johan Lindberg; Martin Haraldsson; Sacha Bou Nafeh; Méline Louhaur; Olli Kallioniemi; Josefin Fernebro; Ulrika Joneborg; Brinton Seashore-LudlowShow moreShow less
Affiliations
1. Science for Life Laboratory (SciLifeLab), Karolinska Institutet, Stockholm, Sweden; 2. Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden; 3. Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden; 4. Department of Gynecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden; 5. Department of Molecular Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; 6. Chemical Biology Consortium Sweden, Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden; 7. Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; 8. Department of Pelvic Cancer, Karolinska University Hospital, Stockholm, Sweden; 9. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, SwedenShow moreShow less
Source PDF DOI Publisher page
217 days

Patient cell drug profiling identifies p53-linked vulnerabilities in refractory lymphoid malignancies

Authors
Arvid Cederlund; Nona Struyf; Lucia Rico Pizarro; Päivi Östling; Kristina Sonnevi; Björn Engelbrekt Wahlin; Tom ErkersShow moreShow less
Affiliations
1. Dept. of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden; 2. Medical Unit Hematology at Solna, Cancer, Karolinska University Hospital, Stockholm, Sweden; 3. Department of Oncology-Pathology, Karolinska Institutet and Science for Life Laboratory, Stockholm, SwedenShow moreShow less
Source PDF DOI Publisher page
233 days

AI-based digital pathology and spatial proteomics enable precision oncology: A case report of recurrent melanoma in a young patient

Authors
Jéssica Guedes; Nicole Woldmar; Eszter Baltas; András Kriston; Ede Migh; Ferenc Kovács; Henriett Oskolás; Matilda Marko-Varga; Roger Appelqvist; Elisabet Wieslander; A. Marcell Szasz; Zoltán Veréb; Rolland Gyulai; István Balázs Németh; Johan Malm; Peter Horvath; Jeovanis Gil; György Marko-VargaShow moreShow less
Affiliations
1. Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Lund, Sweden; 2. Department of Dermatology and Allergology, Albert Szent-Györgyi Faculty of Medicine, University of Szeged, Szeged, Hungary; 3. Synthetic and Systems Biology Unit, HUN-REN Biological Research Centre (HUN-REN BRC), Szeged, Hungary; 4. Single-Cell Technologies Ltd., Szeged, Hungary; 5. Clinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, Lund, Sweden; 6. Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary; 7. University Hospital Szeged Biobank, Szeged, Hungary; 8. Department of Dermatology, Venerology and Oncodermatology, Faculty of Medicine, University of Pécs, Pécs, Hungary; 9. Institute of AI for Health, Helmholtz Zentrum München, Neuherberg, Germany; 10. Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; 11. Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea; 12. 1st Department of Surgery, Tokyo Medical University, Tokyo, JapanShow moreShow less
Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

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Average review62 days

Median65 days

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