Antiangiogenesis: current clinical data and future perspectives.

Onkologie

Klinik für Tumorbiologie, Freiburg, Germany.

Published: December 2002

Neovascularization is a prerequisite for progressive growth of solid tumors and their metastases. This process is tightly regulated by a large number of proangiogenic and antiangiogenic factors such as VEGF, bFGF and matrix-metalloproteinases. The inhibition of angiogenesis is an innovative therapeutic approach and could represent a powerful adjunct to traditional therapy of malignant tumors. Preclinical trials have been very successful but in clinical studies meaningful response rates could only be shown in some cases. This might indicate the existence of different angiogenic phenotypes in humans. It seems that at present only a part of the interactions between the angiogenic cytokines are known. In addition, new receptor/ligand systems which regulate the neovascularization are being described. This article presents an overview of the most important angiogenically active substances, preclinical and clinical data, surrogate markers as well as future perspectives.

Download full-text PDF

Source
http://dx.doi.org/10.1159/000068622DOI Listing

Publication Analysis

Top Keywords

clinical data
8
future perspectives
8
antiangiogenesis current
4
current clinical
4
data future
4
perspectives neovascularization
4
neovascularization prerequisite
4
prerequisite progressive
4
progressive growth
4
growth solid
4

Similar Publications

Orthopaedic Sports Injuries in an Aging Population: Current Trends and Future Projections.

Sports Health

January 2025

Department of Orthopaedic Surgery, Hackensack Meridian Health, Hackensack, New Jersey.

Background: The elderly US population is growing quickly and staying active longer. However, there is limited information on sports-related injuries in older adults.

Hypotheses: (1) National estimate and incidence of sports-related orthopaedic injuries in the US elderly population have increased over the last 10 years, (2) types and causes of sports-related injuries in the elderly have changed, and (3) elderly sports-related injuries will increase more than the number of treating physicians by 2040.

View Article and Find Full Text PDF

Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.

Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.

View Article and Find Full Text PDF

Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint.

JMIR Med Inform

January 2025

INSERM U1064, CR2TI - Center for Research in Transplantation and Translational Immunology, Nantes University, 30 Bd Jean Monnet, Nantes, 44093, France, 33 2 40 08 74 10.

Precision medicine involves a paradigm shift toward personalized data-driven clinical decisions. The concept of a medical "digital twin" has recently become popular to designate digital representations of patients as a support for a wide range of data science applications. However, the concept is ambiguous when it comes to practical implementations.

View Article and Find Full Text PDF

Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.

JMIR Med Inform

January 2025

Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.

Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.

Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!