Related Experiment Video
Updated: Sep 17, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Racial/ethnic and socioeconomic disparities in cancer mortality hotspots: A multi-state geospatial analysis
Azza Sarfraz1, Mujtaba Khalil1, Zayed Rashid1
1Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
Introduction:
We sought to identify county-level cancer mortality hotspots for breast, colorectal, lung, and prostate cancers, as well as evaluate contributions of structural factors underlying racial/ethnic disparities, and social vulnerability index (SVI).
Methods:
This ecological analysis included states selected to represent high (i.e., Massachusetts), medium (i.e., Ohio), and low (i.e., Mississippi) GDP categories. A cancer hotspot was defined as a county with elevated cancer mortality rates.
Results:
Cancer hotspots in Mississippi consisted of higher SVI (breast: 95.9 vs. 82.8), lower median household income ($34,808 vs. $43,766), and predominantly Black populations (63.7 % vs. 35.1 %) (all p < 0.05). Ohio hotspots had higher rates of food insecurity (17 % vs. 13 %), smoking (lung: 29 vs. 23 %), and obesity (colorectal: 41 % vs. 38 %) (all p < 0.05). In Mississippi, disparities rooted in structural racism were more prominent, whereas socioeconomic disadvantage was more prominent in Ohio.
Conclusion:
Cancer mortality hotspots are disproportionately concentrated in low-GDP states, driven by social vulnerability and economic disparities.
More Related Videos
07:13Comparison 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
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
Related Concept Videos
Cancer Survival Analysis
Statistical Methods for Analyzing Epidemiological Data
Comparing the Survival Analysis of Two or More Groups
Bias in Epidemiological Studies
Cancer Prevention
Some...
Cancers Originate from Somatic Mutations in a Single Cell