Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

311
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...
311
Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

19
Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
19
Cancer Prevention02:59

Cancer Prevention

6.0K
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...
6.0K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

5.6K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.6K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

5.5K
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,...
5.5K
mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

3.7K
The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
3.7K

You might also read

Related Articles

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

Sort by
Same author

Vitamin D status at birth among pregnant women and their newborns in Jordan: a cross-sectional study.

Frontiers in medicine·2026
Same author

Metformin Modulates Systemic Lipid Remodeling after Traumatic Brain Injury.

Research square·2026
Same author

Primary Colorectal Signet Ring Cell Carcinoma and the Risk of Multiple Primary Gastrointestinal Malignancies: A Retrospective Cohort Based on SEER Database from 2000-2021.

Clinical and experimental gastroenterology·2026
Same author

Rural-Urban Disparity in Postacute Care and 1-Year Outcomes After Ischemic Stroke.

Stroke·2026
Same author

Collection of autologous CD34+ hematopoietic progenitor cells (HPC) in multiple myeloma: CD34 + cell collection yield in relation to molecular subtype, karyotype, and FISH results.

PloS one·2026
Same author

Association of Acute Ischemic Stroke Volume With Post-Stroke Epilepsy Development.

Journal of neuroimaging : official journal of the American Society of Neuroimaging·2026

Related Experiment Video

Updated: May 17, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

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

Published on: September 27, 2024

187

Temporal trends and risk factors associated with stroke mortality among cancer patients.

Yaman B Ahmed1, Amy Shi Nan Feng2, Mohammad Alrawashdeh3

  • 1Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan; Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Division of Neuroscience Critical Care, Departments of Neurosurgery, Anesthesiology, Critical Care Medicine, The Johns Hopkins Hospital, Baltimore, MD 21287, USA.

Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia
|April 19, 2025
PubMed
Summary
This summary is machine-generated.

Stroke death (SD) risk in cancer patients has declined, but remains elevated for younger individuals and those untreated. Older age, non-white race, and specific cancers like nervous system, respiratory, and head and neck increase SD risk.

Keywords:
CancerRisk factorsSEERStandardized mortality ratioStroke mortality

More Related Videos

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
04:38

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats

Published on: May 22, 2019

10.2K
Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model
05:32

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

Published on: August 11, 2023

1.7K

Related Experiment Videos

Last Updated: May 17, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

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

Published on: September 27, 2024

187
A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
04:38

A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats

Published on: May 22, 2019

10.2K
Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model
05:32

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

Published on: August 11, 2023

1.7K

Area of Science:

  • Oncology
  • Epidemiology
  • Public Health

Background:

  • Cancer patients face an elevated risk of stroke death (SD) compared to the general population.
  • Understanding SD rates and risk factors is crucial for improving cancer patient outcomes.

Purpose of the Study:

  • To investigate the risk and incidence rates of stroke death (SD) in a large cohort of cancer patients.
  • To identify demographic and clinical factors associated with an increased risk of SD among cancer survivors.

Main Methods:

  • Retrospective analysis of 5,922,533 patients from the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) registries (2000-2020).
  • Calculation of standardized mortality ratios (SMR) and incidence rates for SD, with annual percentage change (APC) analysis.
  • Multivariable Cox proportional hazards models were used to identify risk factors for SD.

Main Results:

  • Over 5.9 million cancer patients were included, with 56,686 (2.0%) deaths attributed to stroke.
  • Younger patients (≤39 years) and those receiving no cancer treatment exhibited the highest SMR for SD.
  • Increased SD risk was associated with older age, male sex, non-white race, and specific cancer types (nervous system, respiratory, head and neck).
  • Chemotherapy and radiotherapy were associated with a reduced risk of SD.

Conclusions:

  • Stroke death (SD) rates have decreased over time across all demographics and cancer types.
  • Significant risk factors for SD in cancer patients include older age, non-white race, and diagnoses of nervous system, respiratory, or head and neck cancers.
  • Targeted interventions and continued research are needed to mitigate SD risk in vulnerable cancer patient populations.