Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

Cancer Prevention

Cancer Prevention

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Longitudinal Cerebral Structural, Microstructural, and Functional Alterations After Brain Tumor Surgery for Early Detection of Recurrent Tumors.

Biomedicines·2025

Same author

Development of an algorithm for identifying paraneoplastic ischemic stroke in association with lung, pancreatic, and colorectal cancer.

Therapeutic advances in neurological disorders·2024

Same author

Morphological alterations of the hypothalamus in idiopathic intracranial hypertension.

Therapeutic advances in chronic disease·2022

Same author

Editorial: Amyotrophic lateral sclerosis.

Current opinion in neurology·2022

Same author

Association of Serum GFAP with Functional and Neurocognitive Outcome in Sporadic Small Vessel Disease.

Biomedicines·2022

Same author

CSF levels of SNAP-25 are increased early in Creutzfeldt-Jakob and Alzheimer's disease.

Journal of neurology, neurosurgery, and psychiatry·2022

Search research articles

Related Experiment Video

Updated: Mar 7, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Identifying ischemic stroke associated with cancer: a multiple model derived from a case-control analysis.

Rebecca Kassubek¹, Lars Bullinger², Jan Kassubek³

¹Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany. rebecca.kassubek@rku.de.

Journal of Neurology

|March 2, 2017

Summary

Cancer-associated ischemic stroke indicates a worse prognosis. A new algorithm combining imaging and lab markers like C-reactive protein can help identify patients with previously unknown cancer.

Keywords:

C-reactive protein Cancer Granulocytes Ischemic stroke Lactate dehydrogenase Magnetic resonance imaging

More Related Videos

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Published on: January 5, 2024

Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model

Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model

Published on: August 11, 2023

Related Experiment Videos

Last Updated: Mar 7, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Published on: January 5, 2024

Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model

Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model

Published on: August 11, 2023

Area of Science:

Neurology
Oncology

Background:

Ischemic stroke in cancer patients often has a worse prognosis.
Cancer-associated stroke may be the first sign of an unknown malignancy.
Diagnostic tools for cancer-associated stroke are lacking.

Purpose of the Study:

To develop and validate a diagnostic algorithm for cancer-associated ischemic stroke.
To identify clinical and laboratory features distinguishing cancer-associated stroke.

Main Methods:

Retrospective analysis of 68 ischemic stroke patients with active solid malignancy.
Comparison with 68 age- and sex-matched controls without cancer.
Analysis of neurological assessment, risk factors, neuroimaging, and laboratory findings.

Main Results:

Cancer-associated strokes presented with more severe deficits, higher rates of deterioration and death.
Ischemic lesions frequently involved multiple territories with co-existing acute/subacute infarctions.
Elevated C-reactive protein, granulocytosis, and lactate dehydrogenase were observed in cancer patients.

Conclusions:

A diagnostic algorithm combining lesion territory, inflammation, and cell turnover markers shows promise.
This model achieved 75% sensitivity and 95% specificity in detecting cancer-associated stroke.
The findings suggest a potential method to identify stroke patients with previously undiagnosed malignancy.