Evidence map›Paper›PMID 40502552›Full record

ArticleDrug design, development and therapy2025

Development of an Early-Warning Model for Predicting the Capecitabine-Induced Diarrhea.

Zhijun Liu, Shi Qiu, Yuan Xu, Xinran Wang, Jianguo Sun, Lili Cui, Liya Ye, Zhengyan Liang, Shouhong Gao, Wansheng Chen and 1 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhijun Liu *Research and Development Center of Chinese Medicine Resources and Biotechnology, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Shi Qiu *Research and Development Center of Chinese Medicine Resources and Biotechnology, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Yuan Xu *Department of Clinical Medicine of Traditional Chinese and Western Medicine, First Clinical School of Shaanxi University of Traditional Chinese Medicine, Xianyang, Shaanxi, 712000, People's Republic of China.
Xinran WangDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, People's Republic of China.
Jianguo SunCollege of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, 650500, People's Republic of China.
Lili CuiDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, People's Republic of China.
Liya YeCollege of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, 650500, People's Republic of China.
Zhengyan LiangCollege of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, 650500, People's Republic of China.
Shouhong GaoDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, People's Republic of China.
Wansheng ChenResearch and Development Center of Chinese Medicine Resources and Biotechnology, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.ORCID 0000-0002-0025-1315
Zhipeng WangDepartment of Pharmacy, Second Affiliated Hospital of Naval Medical University, Shanghai, 200003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diarrhea is primary adverse effect of capecitabine (Cap) causing treatment discontinuation. The aim of this study was to construct an early-warning model for predicting the Cap-induced diarrhea. Methods: A Cap-induced diarrhea model in mice was constructed in 36 mice, and the exposure levels of Cap and its five metabolites were quantified in plasma and colon and correlated their exposure levels to the diarrhea. The concentrations of metabolic enzymes and drug transporters were quantified in the colon of 62 colorectal cancer (CRC) patients, and an early-warning model was constructed using binary logistic regression. Results: Totally, 15 out of 36 mice were identified as diarrhea mice, and the exposure levels of Cap and metabolites did not show any differences between diarrhea and non-diarrhea mice in plasma, but in colon, the Cap and metabolites, except for dihydrofluorouracil and 5-fluoro-2'-deoxyuridine, presented significantly higher exposure levels in diarrhea mice. Furthermore, the expression levels of metabolic enzymes and drug transporters in the colon differed distinctly between diarrhea and non-diarrhea CRC patients. Finally, a binary logistic model based on cytidine deaminase (CDA) and solute carrier family 22 member 7 (SLC22A7) was constructed for early-warning of diarrhea induced by Cap: Y = 0.028 × CDA (pg/mL) - 0.518 × SLC22A7 (pg/mL) + 1.526, with the area under curve of 0.907 (specificity 100.0%, sensitivity 71.4%) for diarrhea CRC patients. Conclusion: This study constructed and validated, for the first time, an early-warning model of diarrhea caused by Cap based on metabolic enzymes and drug transporters in normal colon tissue, which may provide a new basis for accurate medication for CRC treatment in clinical practice.

Indexed as

Antimetabolites, AntineoplasticCapecitabineColorectal NeoplasmsDiarrheaAgedAnimalsDisease Models, AnimalFemaleHumansMaleMiceMiddle AgedAntimetabolites, AntineoplasticCapecitabinecapecitabinediarrheaexposure levelmetabolic enzyme and transporterpredicting model

Identifiers

PMID40502552
PMCPMC12153967

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.