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Updated: May 20, 2025
Author Spotlight: Unlocking Insights into the Immune Cell Landscape of Tumors
Published on: August 18, 2023
A Practical Format to Organize Cancer Constellations Using Innate Immune System Biomarkers: Implications for Early
Martin Tobi1, Harvinder Talwar2, Noreen F Rossi3
1Department of Research and Development, Detroit VAMC, 4646 John R Street, Detroit, MI 48601, USA.
Abstract:
Cancer discovery is directed at the identification of a specific cancer type which allows for specific therapeutic interventions.
Background/Objectives:
Recently, similar immune checkpoint therapeutics have been applied with success across several cancer types, opening the field for other immune disruptive interventions that have practical applications.
Methods:
We have discovered an innate immune system (InImS) biomarker that allows for the characterization of allied cancer subtypes and outliers that might aid with diagnosis, treatment, and prognostication.
Results:
These InImS biomarkers are related to PD-L1 treatment outcomes and can be potentially manipulated by dietary means.
Conclusions:
The FERAD (ferritin-fecal p87) and absolute neutrophil/lymphocyte (aNLR) ratios are two such InImS biomarkers and we show herein, that they allow for the discovery of diagnosis and prognostication patterns, as demonstrated by this study.
Insights
New biomarkers, ferritin-fecal p87 (FERAD) and absolute neutrophil/lymphocyte ratio (aNLR), aid in cancer diagnosis and prognostication. These innate immune system biomarkers may also influence treatment outcomes and dietary interventions.
Area of Science:
- Oncology
- Immunology
- Biomarker Discovery
Background:
- Cancer discovery traditionally focuses on specific cancer types for targeted therapies.
- Immune checkpoint therapeutics show broad success, encouraging exploration of other immune-modulating interventions.
Purpose of the Study:
- To identify novel innate immune system (InImS) biomarkers for cancer characterization.
- To explore the diagnostic, therapeutic, and prognostic potential of these InImS biomarkers.
Main Methods:
- Discovery of InImS biomarkers for characterizing cancer subtypes and outliers.
- Analysis of ferritin-fecal p87 (FERAD) and absolute neutrophil/lymphocyte ratio (aNLR).
Main Results:
- Identified FERAD and aNLR as InImS biomarkers.
- Demonstrated that these biomarkers reveal diagnostic and prognostication patterns.
- Linked InImS biomarkers to PD-L1 treatment outcomes.
Conclusions:
- FERAD and aNLR are valuable InImS biomarkers for cancer diagnosis and prognostication.
- These biomarkers offer insights into cancer subtypes and outliers.
- Potential for dietary manipulation of InImS biomarkers warrants further investigation.
