Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer

Elsa Martín-De Arribas, Kelly Conde-Pérez, Pablo Aja-Macaya, Juan A Vallejo, Germán Bou, Ana López-Cheda, María Amalia Jácome-Pumar, Susana Ladra, Margarita Poza · 2026

Read Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer by Elsa Martín-De Arribas, Kelly Conde-Pérez, Pablo Aja-Macaya, Juan A Vallejo, Germán Bou, Ana López-Cheda, María Amalia Jácome-Pumar, Susana Ladra, Margarita Poza (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13317941.txt.

Description

Elsa Martín-De Arribas and colleagues test, in a 2026 methods study, how much the choice of statistical method bends microbiome findings on chemotherapy harm in colorectal cancer. Gut microbes may predict who suffers worst, but each analysis tool tells a different story.

They built one combined toxicity score from symptoms and treatment changes, then ran six popular differential abundance methods under varied data cleaning and correction rules. Overlap in flagged microbes was slim, though effect-size rankings agreed moderately. One method, ANCOM-BC, behaved most steadily across settings. A core set of microbes still recurred, split between low and severe toxicity groups, and an outside dataset echoed the method patterns. Biomarker claims, they warn, must name their method.

Catalog record

CREATORElsa Martín-De Arribas, Kelly Conde-Pérez, Pablo Aja-Macaya, Juan A Vallejo, Germán Bou, Ana López-Cheda, María Amalia Jácome-Pumar, Susana Ladra, Margarita Poza
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE59198
LICENSEhttps://creativecommons.org/licenses/by/4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/article/MED/PMC13317941

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