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Felix Popp

Explore the profile of Felix Popp including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 28
Citations 478
Followers 0
Related Specialties
Oncology
General Surgery
Microbiology
Top 10 Co-Authors
Christiane J Bruns
Christiane Bruns
Alexander Quaas
Hakan Alakus
Yue Zhao
Florian Gebauer
Thomas Schmidt
Seung-Hun Chon
Dirk Schuler
Jiahui Li
Published In
BMC Cancer
Br J Surg
Ann Surg Oncol
Appl Environ Microbiol
Cancers (Basel)
Affiliations
Soon will be listed here.
Recent Articles
1.
Tertiary Lymphoid Structures in Pancreatic Cancer are Structurally Homologous, Share Gene Expression Patterns and B-cell Clones with Secondary Lymphoid Organs, but Show Increased T-cell Activation
Lehmann J, Thelen M, Kreer C, Schran S, Garcia-Marquez M, Cisic I, et al.
Cancer Immunol Res . 2024 Dec; 13(3):323-336. PMID: 39661055
Tertiary lymphoid structures (TLS) in cancer are considered ectopic hotspots for immune activation that are similar to lymphoid follicles in secondary lymphoid organs (SLO). This study elucidates shared and TLS/SLO-specific...
2.
Deep Learning Histology for Prediction of Lymph Node Metastases and Tumor Regression after Neoadjuvant FLOT Therapy of Gastroesophageal Adenocarcinoma
Jung J, Pisula J, Beyerlein X, Lukomski L, Knipper K, Abu Hejleh A, et al.
Cancers (Basel) . 2024 Jul; 16(13). PMID: 39001507
Background: The aim of this study was to establish a deep learning prediction model for neoadjuvant FLOT chemotherapy response. The neural network utilized clinical data and visual information from whole-slide...
3.
First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation
Lukomski L, Pisula J, Wagner T, Sabov A, Grosse Hokamp N, Bozek K, et al.
J Nephrol . 2024 Jun; 37(6):1631-1642. PMID: 38837004
Background: Living kidney donors are screened pre-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deterioration over...
4.
Prediction of postoperative complications after oesophagectomy using machine-learning methods
Jung J, Pisula J, Bozek K, Popp F, Fuchs H, Schroder W, et al.
Br J Surg . 2023 Jun; 110(10):1361-1366. PMID: 37343072
Background: Oesophagectomy is an operation with a high risk of postoperative complications. The aim of this single-centre retrospective study was to apply machine-learning methods to predict complications (Clavien-Dindo grade IIIa...
5.
Long-Term Postsurgical Outcomes of Neoadjuvant Chemoradiation (CROSS) Versus Chemotherapy (FLOT) for Multimodal Treatment of Adenocarcinoma of the Esophagus and the Esophagogastric Junction
Gebauer F, Plum P, Damanakis A, Chon S, Popp F, Zander T, et al.
Ann Surg Oncol . 2023 May; 30(12):7422-7433. PMID: 37210683
Background: The question of the ideal neoadjuvant therapy for locally advanced esophagogastric adenocarcinoma has not been answered to date. Multimodal treatment has become a standard treatment for these adenocarcinomas. Currently,...
6.
Transjugular intrahepatic portosystemic shunt, local thrombaspiration, and lysis for management of fulminant portomesenteric thrombosis and atraumatic splenic rupture due to vector-vaccine-induced thrombotic thrombocytopenia: a case report
Stoll S, Werner P, Wetsch W, Dusse F, Bunck A, Kochanek M, et al.
J Med Case Rep . 2022 Jul; 16(1):271. PMID: 35821156
Introduction: Recombinant adenoviral vector vaccines against severe acute respiratory syndrome coronavirus 2 have been observed to be associated with vaccine-induced immune thrombotic thrombocytopenia. Though vaccine-induced immune thrombotic thrombocytopenia is a...
7.
Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer
Jung J, Crnovrsanin N, Wirsik N, Nienhuser H, Peters L, Popp F, et al.
J Cancer Res Clin Oncol . 2022 May; 149(5):1691-1702. PMID: 35616729
Purpose: Surgical oncologists are frequently confronted with the question of expected long-term prognosis. The aim of this study was to apply machine learning algorithms to optimize survival prediction after oncological...
8.
Influence of patient sex on outcomes after pancreatic surgery: multicentre study
Damanakis A, Toader J, Wahler I, Plum P, Quaas A, Ernst A, et al.
Br J Surg . 2022 May; 109(8):746-753. PMID: 35574811
Background: Recent findings support the hypothesis of sex-related differences in inflammatory and immunological responses to trauma. The aim of this study was to address sex-specific aspects in patients who underwent...
9.
Study protocol of an open-label, single arm phase II trial investigating the efficacy, safety and quality of life of neoadjuvant chemotherapy with liposomal irinotecan combined with Oxaliplatin and 5-fluorouracil/Folinic acid followed by curative...
Gebauer F, Damanakis A, Popp F, Quaas A, Kutting F, Lutz K, et al.
BMC Cancer . 2021 Nov; 21(1):1239. PMID: 34794396
Background: According to current guidelines, treatment of patients with hepatic oligometastasis in pancreatic cancer is not reflected and systemic chemotherapy is recommended in those patients. Retrospective data suggest beneficial outcomes...
10.
Occurrence of High Microsatellite-Instability/Mismatch Repair Deficiency in Nearly 2,000 Human Adenocarcinomas of the Gastrointestinal Tract, Pancreas, and Bile Ducts: A Study From a Large German Comprehensive Cancer Center
Quaas A, Rehkaemper J, Rueschoff J, Pamuk A, Zander T, Hillmer A, et al.
Front Oncol . 2021 Aug; 11:569475. PMID: 34367937
Introduction: Knowledge of the high microsatellite-instability (MSI-H)/mismatch repair deficiency (MMRd) status is of increasing interest for personalized neoadjuvant or adjuvant therapy planning. Only a few studies are available on MSI-H...