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...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

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,...

Kaplan-Meier Approach

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...

You might also read

Related Articles

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

Sort by

Same author

Anticancer Molecular Mechanisms of Phytosterols: An Updated Review on Clinical Trials.

Food science & nutrition·2026

Same author

Correction: Althenayyan et al. Alternatively Spliced Isoforms of <i>MUC4</i> and <i>ADAM12</i> as Biomarkers for Colorectal Cancer Metastasis. <i>J. Pers. Med.</i> 2023, <i>13</i>, 135.

Journal of personalized medicine·2026

Same author

Elucidating the Anticancer Mechanisms of Tetrahydroxycurcumin: A Comprehensive Review of Preclinical Studies.

Food science & nutrition·2025

Same author

Biological roles of THRAP3, STMN1 and GNA13 in human blood cancer cells.

3 Biotech·2024

Same author

Inhibitory Potential of the <i>Ocimum sanctum</i> Phytochemicals on Bruton's Tyrosine Kinase, a Well-Known Drug Target for Treatment of Chronic Lymphocytic Leukemia: An In Silico Investigation.

Molecules (Basel, Switzerland)·2023

Same author

Alternatively Spliced Isoforms of <i>MUC4</i> and <i>ADAM12</i> as Biomarkers for Colorectal Cancer Metastasis.

Journal of personalized medicine·2023

Search research articles

Related Experiment Video

Updated: Oct 21, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Cancer in Saudi Arabia (CSA): Web-Based Application to Study Cancer Data Among Saudis Using Waterfall Model.

Suliman A Alsagaby¹, Mafawez T Alharbi²

¹Department of Medical Laboratories Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia.

Journal of Multidisciplinary Healthcare

|September 2, 2021

Summary

This summary is machine-generated.

A new web application, Cancer in Saudi Arabia (CSA), facilitates access to cancer data. It reveals non-Hodgkin lymphoma (NHL) incidence increases with age, is more common in males, and predominantly occurs in Riyadh and Eastern regions.

Keywords:

big data cancer in Saudis epidemiology information technology waterfall model

More Related Videos

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Oct 21, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Area of Science:

Oncology
Health Informatics
Epidemiology

Background:

Healthcare big data presents challenges, necessitating specialized IT solutions.
A gap exists for tools to analyze Saudi cancer data.
The Cancer in Saudi Arabia (CSA) application addresses this need.

Purpose of the Study:

To develop a web-based application, "Cancer in Saudi Arabia (CSA)", for accessing, comparing, and visualizing Saudi cancer data.
To provide an interactive and user-friendly platform for cancer data analysis.

Main Methods:

The waterfall model was employed for the CSA application's development.
CSA was utilized to analyze non-Hodgkin lymphoma (NHL) data from Saudi Cancer Incidence Reports (SCIRs) spanning 1999-2015.

Main Results:

NHL incidence in Saudi Arabia increases with age and is more prevalent in males.
Riyadh and Eastern regions show the highest NHL prevalence, while Jazan has the least.
Most NHL cases were diagnosed at late stages, with diffuse large B-cell lymphoma (DLBCL) being the most common subtype.

Conclusions:

The CSA application offers a user-friendly solution for accessing and utilizing Saudi cancer data.
CSA enhances the usability of SCIRs for researchers and healthcare professionals.
The study provides a comprehensive 17-year epidemiological overview of NHL in Saudi Arabia.