Supplementary Figure S10 from Mutational Analysis of Early, Low-Grade Bowel Polyps Defines a Subgroup with Concurrent, High-Risk Oncogenic Drivers Independent of Polyp Size

Jun Li; Zoe Welham; Benita Tse; Chahaya Gauci; Shila Ghazanfar; Pratibha Panwar; Alexander Engel; Mark P. Molloy

doi:10.1158/2767-9764.29939596

August 19, 2025Open Access

Supplementary Figure S10 from Mutational Analysis of Early, Low-Grade Bowel Polyps Defines a Subgroup with Concurrent, High-Risk Oncogenic Drivers Independent of Polyp Size

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Key Points

A positive correlation exists between polyp burden and mutation burden in the concurrent group of bowel polyps, indicating a potential high-risk subgroup.
Statistical findings showed this correlation with an accompanying 95% confidence interval, highlighting its significance.
Analysis focused on early, low-grade bowel polyps to identify subgroups with concurrent oncogenic drivers, despite polyp size.
The study suggests identifying high-risk drivers may aid in better managing potential cancer risks associated with these polyps.

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Implication

Observational analysis reveals a positive correlation between polyp burden and mutation burden in bowel polyps, suggesting critical oncogenic drivers in their development.

Abstract

Kendall rank correlation test between polyp burden and mutation burden. Statistic test shows a positive correlation between polyp burden and mutation burden in concurrent group but not in non-concurrent groups (shaded area shows 95% confidence interval).

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Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68af454cad7bf08b1ead3491 https://doi.org/10.1158/2767-9764.29939596

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Supplementary Figure S10 from Mutational Analysis of Early, Low-Grade Bowel Polyps Defines a Subgroup with Concurrent, High-Risk Oncogenic Drivers Independent of Polyp Size

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Supplementary Figure S10 from Mutational Analysis of Early, Low-Grade Bowel Polyps Defines a Subgroup with Concurrent, High-Risk Oncogenic Drivers Independent of Polyp Size

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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