Evidence map›Paper›PMID 40496508›Full record

ArticleToxicology reports2025

Molecular signatures of xenograft colorectal cancer in mice treated with topotecan: A mass spectrometry-based study.

Yousra A Hagyousif, Ruba A Zenati, Nelson C Soares, Hamza M Al-Hroub, Farman Matloob Khan, Rizwan Qaisar, Rifat Hamoudi, Raafat El-Awady, Ahmad Y Abuhelwa, Wafaa Ramadan and 5 more

Abstract read
In one paragraph

Article in Toxicology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

15 authors.

Yousra A HagyousifResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Ruba A ZenatiResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Nelson C SoaresCenter for Applied and Translational Genomics (CATG), Mohammed Bin Rashid University Medicine and Health Sciences (MBRU), Dubai Health, Dubai, United Arab Emirates.
Hamza M Al-HroubResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Farman Matloob KhanDepartment of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, The University of Sharjah, Sharjah 27272, United Arab Emirates.
Rizwan QaisarDepartment of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates.
Rifat HamoudiResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Raafat El-AwadyResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Ahmad Y AbuhelwaResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Wafaa RamadanResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Waseem El-HuneidiResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Eman Abu-GharbiehResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Karem H AlzoubiResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Yasser BustanjiResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Mohammad H SemreenResearch Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide, yet it continues to have a low survival rate, largely due to the lack of effective treatments. Metabolomics offers new insight into disease diagnosis and biomarkers discovery. The aim of the study is to identify serum biomarkers in a CRC xenograft mouse model treated with topotecan using advanced metabolomics techniques to enhance our understanding and management of the disease. Methods: The therapeutic potentials of the anticancer drug topotecan on metabolomic alterations in CRC were explored using the UHPLC-ESI-QTOF-MS platform. A comprehensive metabolomic analysis was conducted to compare four different animal groups: HCT-116 CRC xenograft mice treated with topotecan (treated group), vehicle-control HCT-116 xenograft mice (untreated CRC xenograft mice), positive controls (healthy mice injected with topotecan), and negative controls (healthy mice). Results: The study identified 53 altered metabolites across all four groups ( Conclusion: The findings provide a detailed characterization of metabolic alterations associated with topotecan treatment in CRC. These insights contribute to a better understanding of the drug's mechanism of action, which may help predict CRC patients' response to topotecan and guide the development of personalized therapeutic strategies.

Indexed as

Colorectal cancerLC-MS/MS-QTOFMetabolomicsTopotecan

Identifiers

PMID40496508
PMCPMC12149579

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.