Editorial for Special Issue: The Chorioallantoic Membrane (CAM) Model—Traditional and State-of-the Art Applications: The 1st International CAM Conference-Reference-Cited by-同舟云学术

Editorial for Special Issue: The Chorioallantoic Membrane (CAM) Model—Traditional and State-of-the Art Applications: The 1st International CAM Conference

Published:2023-01-26 Issue:3 Volume:15 Page:772
ISSN:2072-6694
Container-title:Cancers
language:en
Short-container-title:Cancers

Author:

Schneider-Stock Regine¹²^ORCID,Flügen Georg³^ORCID

Affiliation:

1. Experimental Tumorpathology, Institute of Pathology, Universitätsklinikum Erlangen, FAU Erlangen-Nürnberg, 91054 Erlangen, Germany

2. Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), University Hospital Erlangen, Friedrich Alexander University Erlangen-Nürnberg, 94054 Erlangen, Germany

3. Department of General, Visceral, Thoracic and Pediatric Surgery (A), Medical Faculty, Heinrich-Heine-University, University Hospital Duesseldorf, 40225 Duesseldorf, Germany

Abstract

In 1959, Russell and Burch published the “Principles of Humane Experimental Technique” [...]

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Link

https://www.mdpi.com/2072-6694/15/3/772/pdf

Reference13 articles.

1. The Principles of Humane Experimental Technique;Russel;Med. J. Aust.,1959

2. Phase II and Phase III attrition rates 2011–2012;Arrowsmith;Nat. Rev. Drug Discov.,2013

3. Demcisakova, Z., Luptakova, L., Tirpakova, Z., Kvasilova, A., Medvecky, L., De Spiegelaere, W., and Petrovova, E. (2022). Evaluation of Angiogenesis in an Acellular Porous Biomaterial Based on Polyhydroxybutyrate and Chitosan Using the Chicken Ex Ovo Chorioallantoic Membrane Model. Cancers, 14.

4. Heuberger, D.M., Wolint, P., Jang, J.-H., Itani, S., Jungraithmayr, W., Waschkies, C.F., Meier-Bürgisser, G., Andreoli, S., Spanaus, K., and Schuepbach, R.A. (2022). High-Affinity Cu(I)-Chelator with Potential Anti-Tumorigenic Action—A Proof-of-Principle Experimental Study of Human H460 Tumors in the CAM Assay. Cancers, 14.

5. Faihs, L., Firouz, B., Slezak, P., Slezak, C., Weißensteiner, M., Ebner, T., Ghaffari Tabrizi-Wizsy, N., Schicho, K., and Dungel, P. (2022). A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model. Cancers, 14.

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