| Literature DB >> 34249240 |
Michael A Gillespie1,2, Colin W Steele, Tamsin R M Lannagan1, Owen J Sansom1,2, Campbell S D Roxburgh2,3.
Abstract
Pre-operative chemoradiotherapy reduces local recurrence rates in locally advanced rectal cancer. 10-20% of patients undergo complete response to chemoradiotherapy, however, many patients show no response. The mechanisms underlying this are poorly understood; identifying molecular and immunological factors underpinning heterogeneous responses to chemoradiotherapy, will promote development of treatment strategies to improve responses and overcome resistance mechanisms. This review describes the advances made in pre-clinical modelling of colorectal cancer, including genetically engineered mouse models, transplantation models, patient derived organoids and radiotherapy platforms to study responses to chemoradiotherapy. Relevant literature was identified through the PubMed and MEDLINE databases, using the following keywords: rectal cancer; mouse models; organoids; neo-adjuvant treatment; radiotherapy; chemotherapy. By delineating the advantages and disadvantages of available models, we discuss how modelling techniques can be utilized to address current research priorities in locally advanced rectal cancer. We provide unique insight into the potential application of pre-clinical models in the development of novel neo-adjuvant treatment strategies, which will hopefully guide future clinical trials. ©Copyright: the Author(s).Entities:
Keywords: Rectal cancer; chemotherapy; mouse models; neo-adjuvant treatment; organoids; radiotherapy
Year: 2021 PMID: 34249240 PMCID: PMC8237517 DOI: 10.4081/oncol.2021.511
Source DB: PubMed Journal: Oncol Rev ISSN: 1970-5557
Key features of tumor model systems.
| Model system | Advantages | Disadvantages |
|---|---|---|
| Genetically engineered mouse models | ||
| Transgenic oncogene expression | Enables mechanistic studies of genetic mutations of interest | - Typically demonstrate small intestinal polyps/adenomas |
| - Limited ability to demonstrate progression beyond adenoma | ||
| - Long latency to tumor development | ||
| - Do not model genomic heterogeneity seen in clinical practice | ||
| Recombinase systems | - Enables induction of multiple genetic mutations | - Limited ability to demonstrate metastasis |
| (Cre-Lox) | - Time and tissue-specific | - Long latency to tumor development |
| - Tumors develop at the relevant site and tissue layer | - Expensive | |
| - Low throughput | ||
| CRISPR/Cas-9 genome editing | - Enables manipulation of the entire genome | - Limited ability to demonstrate metastasis |
| - Time and tissue-specific | - Long latency to tumor development | |
| - Tumors develop at the relevant site and tissue layer | - Low throughput | |
| - Capacity to reverse genetic mutations | ||
| - Can be utilized ex vivo (e.g. organoid cultures) | ||
| - Lower cost than conventional GEMMs | ||
| Transplant models | ||
| Surgical transplant | - Time efficient models | - Failure of cell lines to recapitulate colorectal cancer histology |
| - Able to recapitulate invasiveness and metastasis | - Tumors not anatomically representative | |
| - Commonly use immunocompromised mice | ||
| Colonoscopy guided injection of organoids | - Tumors develop at correct anatomical location | - Tumors do not arise in mucosal layer |
| - Can be utilized in immunocompetent mice | - Low penetrance of metastatic disease | |
| - Easily reproducible | ||
| - Time efficient model enabling high throughput | ||
| - Organoids can be genetically manipulated | ||
| Non-animal models | ||
| Patient derived organoids | - Avoids animal studies | - Lack of host stroma and immune system |
| - Tissue easily obtained through biopsy before treatment | - Labor intensive to employ in routine clinical practice | |
| - Time effective | ||
| - Potential utility as a predictive tool | ||