ArticleCancers2020
A Biobank of Colorectal Cancer Patient-Derived Xenografts.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Advancing cancer research: Cutting-edge insights from colorectal cancer patient-derived xenograft mouse models.Genes & diseases · 2026Review
- Assessment of candidate high-grade serous ovarian carcinoma predisposition genes through integrated germline and tumour sequencing.NPJ genomic medicine · 2025Article
- Orthotopic and metastatic tumour models in preclinical cancer research.Pharmacology & therapeutics · 2024Review
- The E3 ubiquitin ligase NEDD4 regulates chemoresistance to 5-fluorouracil in colorectal cancer cells by altering JNK signalling.Cell death & disease · 2023Article
- Article
- Modeling the Tumor Microenvironment and Cancer Immunotherapy in Next-Generation Humanized Mice.Cancers · 2023Review
- Patient-derived xenograft model in colorectal cancer basic and translational research.Animal models and experimental medicine · 2023Review
- The Barretos Cancer Hospital Animal Facility: Implementation and Results of a Dedicated Platform for Preclinical Oncology Models.Veterinary sciences · 2022Article
- Precision oncology using ex vivo technology: a step towards individualised cancer care?Expert reviews in molecular medicine · 2022Review
- An overview of kinase downregulators and recent advances in discovery approaches.Signal transduction and targeted therapy · 2021Review
- The HROC-Xenobank-A High Quality Assured PDX Biobank of >100 Individual Colorectal Cancer Models.Cancers · 2021Article
- Establishment of a Patient-Derived Xenograft Model of Colorectal Cancer in CIEA NOG Mice and Exploring Smartfish Liquid Diet as a Source of Omega-3 Fatty Acids.Biomedicines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Colorectal cancer (CRC) is a challenging disease, with a high mortality rate and limited effective treatment options, particularly for late-stage disease. Patient-derived xenografts (PDXs) have emerged as an informative, renewable experimental resource to model CRC architecture and biology. Here, we describe the generation of a biobank of CRC PDXs from stage I to stage IV patients. We demonstrate that PDXs within our biobank recapitulate the histopathological and mutation features of the original patient tumor. In addition, we demonstrate the utility of this resource in pre-clinical chemotherapy and targeted treatment studies, highlighting the translational potential of PDX models in the identification of new therapies that will improve the overall survival of CRC patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.