Related Experiment Video
Updated: Jan 23, 2026
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
660
Inflammation as a Cancer Co-Initiator: New Mechanistic Model Predicts Low/Negligible Risk at Noninflammatory
19832 Darcy Forest Drive, Silver Spring, MD, USA.
Summary
The multistage somatic mutation (MSM) theory for cancer risk is challenged by a new inflammation-MSM (ISM) theory. ISM suggests inflammation, not just mutations, drives cancer, potentially altering risk assessments for environmental carcinogens.
Area of Science:
- Oncology
- Carcinogenesis
- Inflammation Biology
Background:
- The linear-no-threshold (LNT) model, based on the 60-year-old multistage somatic mutation (MSM) theory, is used to assess low-dose environmental carcinogen risks.
- Recent evidence suggests cancer initiation is more complex, involving inflammation-activated stem cells and adaptive hyperplasia (AH).
Purpose of the Study:
- To introduce and explore the inflammation-MSM (ISM) theory as an alternative to the traditional MSM/MVK cancer models.
- To investigate the role of inflammation in carcinogenesis and its implications for LNT extrapolation.
Main Methods:
- Review and theoretical comparison of the MSM/MVK and ISM cancer theories.
- Analysis of existing experimental data, including aflatoxin B1 exposure in rats, in the context of the ISM theory.
Main Results:
- The ISM theory proposes that inflammation co-initiates cancer and amplifies activated stem cells, suggesting MSM/MVK models are incomplete.
- ISM theory aligns with data showing high carcinoma incidence with aflatoxin B1, which is reduced by anti-inflammatory agents, unlike DNA adducts.
- ISM predicts non-LNT dose-response relationships for most carcinogens due to the role of inflammation.
Conclusions:
- The ISM theory offers a new framework for understanding carcinogenesis, emphasizing the critical role of inflammation.
- This theory challenges the universal applicability of LNT extrapolation for carcinogen risk assessment.
- Further experimental validation of the ISM theory is warranted.
Related Concept Videos
01:25Mutagenicity and Carcinogenicity
1.9K
Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...
1.9K
01:38Inflammation
61.8K
Overview
61.8K
01:21Mechanistic Models: Overview of Compartment Models
371
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
371
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
256
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
256
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
302
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
302
02:33Initiation of Translation
38.4K
Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
38.4K