Patient-derived tumor models: a more suitable tool for pre-clinical studies in colorectal cancer
Open accessAbstract
Colorectal cancer (CRC), despite the advances in screening and surveillance, remains the second most common cause of cancer death worldwide. The biological inadequacy of pre-clinical models to fully recapitulate the multifactorial etiology and the complexity of tumor microenvironment and human CRC’s genetic heterogeneity has limited cancer treatment development. This has led to the development of Patient-derived models able to phenocopy as much as possible the original inter- and intra-tumor heterogeneity of CRC, reflecting the tumor microenvironment’s cellular interactions. Implantation of patient tissue into immunodeficient mice hosts and the culture of tumor organoids have allowed advances in cancer biology and metastasis. This review highlights the advantages and limits of Patient-derived models as innovative and valuable pre-clinical tools to study progression and metastasis of CRC, develop novel therapeutic strategies by creating a drug screening platform, and predict the efficacy of clinical response to therapy.
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PDO retain the morphological and characteristics of human primary tumors.
“PDO have become an effective clinical-related model for predicting the drug responses, and they retain the morphological and characteristics of human primary tumors (38–40).”
From Small-molecule PROTAC mediates targeted protein degradation to treat STAT3-dependent epithelial cancer (2022) · cites this paper as [38]
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Flagged first, then by citations
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Lost in translation: Revisiting the use of tyrosine kinase inhibitors in colorectal cancer
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The HROC-Xenobank—A High Quality Assured PDX Biobank of >100 Individual Colorectal Cancer Models
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- Authors
- Rizzo, G., Bertotti, A., Leto, S. M., & Vetrano, S.
- Affiliations
- Humanitas University (IT)
- Candiolo Cancer Institute (IT)
- Corresponding author
- Vetrano, Stefania
- Venue
- Journal of Experimental & Clinical Cancer Research
- Published
- 2021-06-01
- Volume
- 40
- Issue
- 1
- Pages
- 178-178
- ISSN
- 0392-9078 (ISSN-L)
- 1756-9966
- PMC
- PMC8168319
- OpenAlex
- W3165446525
- Cited by
- 51
- References
- 195
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 6 · 2023: 8 · 2022: 11 · 2021: 7
- FWCI
- 0.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Experimental & Clinical Cancer Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Associazione Italiana Contro le Leucemie - Linfomi e Mieloma (17795)
- Esprinet Spa Italy
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Keywords
- patient-derived tumor models, colorectal cancer, tumor microenvironment, tumor heterogeneity, tumor organoids, xenografts, metastasis, drug screening, predictive biomarkers, preclinical models
- MeSH terms
- Animals, Antineoplastic Agents, Humans, Neoplasm Metastasis, Organoids, Colorectal Neoplasms, Xenograft Model Antitumor Assays, Mice, Tumor Microenvironment
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