Evidence map›Paper›PMID 41024760›Full record

ReviewWorld journal of gastroenterology2025

From bench to bedside: Advancements in patient-derived xenografts for predicting therapy outcomes in colorectal cancer.

Andrei Nicolae Ceobanu, Alexandru Florin Braniște, Ştefan Morărașu, Gabriel Mihail Dimofte

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Andrei Nicolae CeobanuDepartment of Oncology, University of Medicine and Pharmacy "Grigore T Popa", Regional Institute of Oncology, Iasi 700115, Romania.
Alexandru Florin BranișteDepartment of Endocrinology, University of Medicine and Pharmacy "Grigore T Popa", Emergency Clinical County Hospital "Saint Spiridon", Iasi 700115, Romania. alexandru-florin.braniste@d.umfiasi.ro.
Ştefan MorărașuDepartment of Surgery, University of Medicine and Pharmacy "Grigore T Popa", Regional Institute of Oncology, Iasi 700115, Romania.
Gabriel Mihail DimofteDepartment of Surgery, University of Medicine and Pharmacy "Grigore T Popa", Regional Institute of Oncology, Iasi 700115, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is the third most diagnosed malignancy and the second-leading cause of cancer-related deaths worldwide. Management includes a combination of surgery, radiotherapy, and systemic therapy that is tailored to the stage of the disease. However, each tumor has a unique genetic profile that influences the treatment response and the overall prognosis. Biomarkers guide treatment decisions, but many chemotherapeutics lack reliable predictors. To bridge this gap patient-derived xenograft models were developed and are valuable preclinical tools. These systems utilize patient-derived tumor tissue grafted into an animal host that provides a platform for personalized drug profiling. This article surveyed recent advances in mouse and zebrafish colorectal cancer patient-derived xenografts, emphasizing their clinical utility for functional precision oncology. We explored the impact of these models on translational research, discussed current limitations, and outlined key priorities for future development.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsPrecision MedicineTranslational Research, BiomedicalXenograft Model Antitumor AssaysAnimalsBiomarkers, TumorHumansMicePrognosisTreatment OutcomeZebrafishAntineoplastic AgentsBiomarkers, TumorColorectal cancerMousePatient-derived xenograftsTranslational medicineZebrafish

Identifiers

PMID41024760
PMCPMC12476665

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.