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 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...

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...

Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Criteria for Causality: Bradford Hill Criteria - II

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:

Psychoneuroimmunology: Diabetes and Cancer

Psychoneuroimmunology: Diabetes and Cancer

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...

Cancers Originate from Somatic Mutations in a Single Cell

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...

You might also read

Related Articles

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

Sort by

Same author

Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.

Nature genetics·2017

Same author

Relationship between genetic variation at PPP1R3B and levels of liver glycogen and triglyceride.

Hepatology (Baltimore, Md.)·2017

Same author

Body mass index and breast cancer survival: a Mendelian randomization analysis.

International journal of epidemiology·2017

Same author

Liver fat content, non-alcoholic fatty liver disease, and ischaemic heart disease: Mendelian randomization and meta-analysis of 279 013 individuals.

European heart journal·2017

Same author

U-shaped relationship of HDL and risk of infectious disease: two prospective population-based cohort studies.

European heart journal·2017

Same author

Plasma urate, lung function and chronic obstructive pulmonary disease: a Mendelian randomisation study in 114 979 individuals from the general population.

Thorax·2017

Search research articles

Related Experiment Video

Updated: May 27, 2026

Detecting Anastasis In Vivo by CaspaseTracker Biosensor

Detecting Anastasis In Vivo by CaspaseTracker Biosensor

Published on: February 1, 2018

Associations between first and second primary cancers: a population-based study.

Sune F Nielsen¹, Børge G Nordestgaard, Stig E Bojesen

¹Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, and the Faculty of Health Sciences, University of Copenhagen, Herlev, Denmark.

CMAJ : Canadian Medical Association Journal = Journal De L'Association Medicale Canadienne

|November 30, 2011

Summary

This summary is machine-generated.

Cancer survivors face a higher risk of developing a second primary cancer. This risk is primarily driven by developing the same cancer type again, with a 2.2-fold increased likelihood, rather than a different type.

More Related Videos

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

Related Experiment Videos

Last Updated: May 27, 2026

Detecting Anastasis In Vivo by CaspaseTracker Biosensor

Detecting Anastasis In Vivo by CaspaseTracker Biosensor

Published on: February 1, 2018

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

Area of Science:

Oncology
Epidemiology
Cancer Research

Background:

Patients surviving initial cancer diagnoses exhibit an elevated risk for subsequent primary cancers.
This study investigates whether the increased risk for a second primary cancer stems from recurrence of the same cancer type or the development of a different cancer type.

Purpose of the Study:

To test the hypothesis that the excess risk of a second primary cancer is predominantly due to the same cancer type recurring.
To quantify the risk of developing a second primary cancer of the same versus a different type compared to the general population.

Main Methods:

A nationwide cohort study utilizing Danish population data from 1980-2007 (n = 7,493,705).
Nested case-control studies were performed for each cancer type, matching incident cancer patients with up to five controls.
Cox regression models and meta-analysis techniques were employed to estimate individual and aggregated risk.

Main Results:

The overall hazard ratio for any second primary cancer was 1.25.
A significantly higher hazard ratio was observed for second primary cancers of the same type (2.16) compared to different types (1.13).
These findings remained consistent across various time intervals (1, 2, 5, 10 years) post-first cancer diagnosis.

Conclusions:

The heightened risk of a second primary cancer is primarily attributed to an increased likelihood of developing the same cancer type (2.2-fold risk).
The risk of developing a second primary cancer of a different type is comparatively lower (1.1-fold risk).
Substantial heterogeneity in these risks was noted across different cancer types.