Abstract

Simple SummaryColorectal cancer (CRC) is the third most common type of cancer globally. Despite successful treatment, it has a 40% chance of recurrence within five years after surgery. While neoadjuvant chemotherapy is offered for stage IV cancers, it comes with a risk of resistance and disease progression. CRC tumors vary biologically, recur frequently, and pose a significant risk for cancer-related mortality, making it increasingly relevant to develop methods to study personalized treatment. A tumor organoid is a miniature, multicellular, and 3D replica of a tumor in vitro that retains its characteristics. Here, we discuss the current methods of culturing organoids and the correlation of drug response in organoids with clinical responses in patients. This helps us to determine whether organoids can be used for treatment selection in a clinical setting. Based on the studies included, there was a strong correlation between treatment responses of organoids and clinical treatment responses.Surgical resection is the mainstay in intended curative treatment of colorectal cancer (CRC) and may be accompanied by adjuvant chemotherapy. However, 40% of the patients experience recurrence within five years of treatment, highlighting the importance of improved, personalized treatment options. Monolayer cell cultures and murine models, which are generally used to study the biology of CRC, are associated with certain drawbacks; hence, the use of organoids has been emerging. Organoids obtained from tumors display similar genotypic and phenotypic characteristics, making them ideal for investigating individualized treatment strategies and for integration as a core platform to be used in prediction models. Here, we review studies correlating the clinical response in patients with CRC with the therapeutic response in patient-derived organoids (PDO), as well as the limitations and potentials of this model. The studies outlined in this review reported strong associations between treatment responses in the PDO model and clinical treatment responses. However, as PDOs lack the tumor microenvironment, they do not genuinely account for certain crucial characteristics that influence therapeutic response. To this end, we reviewed studies investigating PDOs co-cultured with tumor-infiltrating lymphocytes. This model is a promising method allowing evaluation of patient-specific tumors and selection of personalized therapies. Standardized methodologies must be implemented to reach a “gold standard” for validating the use of this model in larger cohorts of patients. The introduction of this approach to a clinical scenario directing neoadjuvant treatment and in other curative and palliative treatment strategies holds incredible potential for improving personalized treatment and its outcomes.

Highlights

  • Colorectal cancer (CRC) is the third most common cancer worldwide and is the second leading cause of cancer-related deaths [1]

  • We present the current methods of culturing organoids and the research correlating clinical patient response with drug response in patient-derived organoids (PDO) and co-culture PDOs obtained from CRC

  • Two studies observed drug response of organoids established from primary CRC (pCRC) and m3 oeft1-5 astatic CRC (mCRC) tumors obtained from the same patient [36,47], which highlights that generating PDOs from all tumors in a patient would assist in exploring intra-patient heterogeneity

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Summary

Introduction

Colorectal cancer (CRC) is the third most common cancer worldwide and is the second leading cause of cancer-related deaths [1]. To examine personalized tumors and drug response in vivo—including the sensitivity and resistance to chemotherapy and chemotherapeutic combinations—carcinogen-induced or genetically engineered murine models are used most often [14,18,19,20,21,22,23]. These experiments are conducted in immunedeficient murine models or patient-derived xenografts, which are associated with major financial, ethical, laborious, and logistic challenges [24,25,26,27]. In our attempt to investigate their potential as treatment selection and treatment prediction models in the future, we evaluate the limitations and potentials of using these methods in a clinical setting

Establishment of PDOs
Quality Control to Ensure Compliance
Setting up PDO Drug Screening Assays
Establishment of Co-Culture PDOs
Reviewing Organoid-Based Drug Screening Assays
Method
Co-Culture PDOs
Limitations
Potential
Findings
Conclusions
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