A rapid quantification of invasive phenotype in head and neck squamous cell carcinoma: A novel 3D pillar array system

Improving therapeutic strategies for Head and Neck Cancer: Insights from 3D hypoxic cell culture models in treatment response evaluation

Hypoxia in the tumor core negatively affects the outcome of patients with head and neck squamous cell carcinoma (HNSCC). Nevertheless, its role in predicting treatment response requires further exploration. Typically, reduced oxygen levels in the tumor core correlate with diminished efficacy of radiotherapy, chemotherapy, and immunotherapy, which are commonly used for HNSCC patients' treatment. Understanding the mechanistic underpinnings of these varied treatment responses in HNSCC is crucial for enhancing therapeutic outcomes and extending patients' overall survival (OS) rates. Standard monolayer cell culture conditions have major limitations in mimicking tumor physiological features and the complexity of the tumor microenvironment. Three-dimensional (3D) cell cultures enable the recreation of the in vivo tumor attributes, encompassing oxygen and nutrient gradients, cellular morphology, and intracellular connections. It is vital to use the 3D model in treatment response studies to mimic the tumor microenvironment, as evidenced by the decreased sensitivity of 3D structures to anticancer therapy. Accordingly, the aim of the study was to delineate the utility of the 3D models of hypoxic head and neck tumors in drug screening and treatment response studies.

Clonal evolution of long-term expanding head and neck cancer organoid: Impact on treatment response for personalized therapeutic screening

OBJECTIVES

In biobanking based on patient-derived organoids (PDO), the genetic stability of organoid lines is critical for the clinical relevance of PDO with parental tumors. However, data on mutational heterogeneity and clonal evolution of PDO and their effects on treatment response are insufficient.

METHODS

To investigate whether head and neck cancer organoids (HNCOs) could maintain the genetic characteristics of their original tumors and elucidate the clonal evolution process during a long-term passage, we performed targeted sequencing, covering 377 cancer-related genes and adopted a sub-clonal fraction model. To explore therapeutic response variability between an early and late passage (>passage 6), we generated dose-response curves for drugs and radiation using two HNCO lines.

RESULTS

Using 3D ex vivo organoid culture protocol, we successfully established 27 HNCOs from 39 patients with an overall success rate of 70% (27/39). Their mutational profiles were highly concordant, with three of the HNCOs analyzed showing greater than 70% concordance. Only one HNCO displayed less than 50% concordance. However, many of these organoid lines displayed clonal evolution during serial passaging, although major cancer driver genes and VAF distributions were shared between early and later passages. We also found that all late passages of HNCOs tended to be more sensitive to radiation than early passages, similar to drug response results.

CONCLUSIONS

We report the establishment of HNCO lines derived from 27 patients and demonstrate their genetic concordance with corresponding parental tumors. Furthermore, we show serial changes in mutational profiles of HNCO along with long passage culture and the impact of these clonal evolutions on response to radiotherapy.

Optimization of 3D-aggregated spheroid model (3D-ASM) for selecting high efficacy drugs

Various three-dimensional (3D) cell culture methods have been developed to implement tumor models similar to in vivo. However, the conventional 3D cell culture method has limitations such as difficulty in using an extracellular matrix (ECM), low experimental reproducibility, complex 3D cell culture protocol, and difficulty in applying to high array plates such as 96- or 384-plates. Therefore, detailed protocols related to robust 3D-aggregated spheroid model (3D-ASM) production were optimized and proposed. A specially designed wet chamber was used to implement 3D-ASM using the hepatocellular carcinoma (HCC) cell lines, and the conditions were established for the icing step to aggregate the cells in one place and optimized ECM gelation step. Immunofluorescence (IF) staining is mainly used to simultaneously analyze drug efficacy and changes in drug-target biomarkers. By applying the IF staining method to the 3D-ASM model, confocal microscopy imaging and 3D deconvolution image analysis were also successfully performed. Through a comparative study of drug response with conventional 2D-high throughput screening (HTS), the 3D-HTS showed a more comprehensive range of drug efficacy analyses for HCC cell lines and enabled selective drug efficacy analysis for the FDA-approved drug sorafenib. This suggests that increased drug resistance under 3D-HTS conditions does not reduce the analytical discrimination of drug efficacy, also drug efficacy can be analyzed more selectively compared to the conventional 2D-HTS assay. Therefore, the 3D-HTS-based drug efficacy analysis method using an automated 3D-cell spotter/scanner, 384-pillar plate/wet chamber, and the proposed 3D-ASM fabrication protocol is a very suitable platform for analyzing target drug efficacy in HCC cells.

Cell Proliferation Receptor-Enhanced 3D High-Throughput Screening Model for Optimized Drug Efficacy Evaluation in Breast Cancer Cells

A higher correlation of epidermal growth factor receptor (EGFR)-targeting drugs has been reported with the use of the cell proliferation receptor-enhanced three-dimensional high-throughput screening model (CPRE 3D-HTS model) compared with two-dimensional (2D) cell-based HTS. A greater expression of differential human EGFR 2 (HER2) protein between HER2-positive and HER2-negative cell lines was observed in breast cancer (BC) cell lines cultured using the CPRE 3D-HTS model compared with 2D-cultured cells. When using 2D-cultured cells, properties such as the expression of the cell proliferation receptor are lost as the cells attach to the bottom of the well plate. In an effort to solve this problem, the CPRE 3D-HTS model expressing high cell proliferation receptors was optimized by the selection of alginate as the extracellular matrix. Results from the use of the CPRE 3D-HTS model showed higher drug resistance with increased expression of drug resistance-related proteins. Of particular interest, a higher correlation of HER2-targeted drugs was observed with the use of the CPRE 3D-HTS model. In order to validate this higher correlation of target drugs observed in the CPRE 3D-HTS model, the results of Western blot analysis and high content imaging analysis were analyzed, which confirmed that 3D-cultured BC cell lines showed a greater difference in the expression of HER2-positive and HER2-negative BC cell lines than 2D-cultured cells. Thus, the use of CPRE 3D-HTS using a 384-pillar plate resulted in increased accuracy when screening HER2-targeted drugs in BC, and it is a very useful platform for analyzing the efficacy of targeted drugs by enhancing the expression of HER2.

A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse

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Radiotherapy is a critical modality in head and neck cancer treatment.

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A novel 3D pillar/well array platform provides the individual radioresponse biomarker, RT_auc.

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Poor and good radioresponse group by RT_auc correlates with other clinical features.

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RT_auc shows potential for radioresponse biomarker, useful in clinical decision-making.

Predicting individual radiotherapy (RT) response is valuable in managing head and neck squamous cell carcinoma (HNSCC). We assessed the feasibility of our novel 3D culture platform to measure radioresponse using patient-derived cells (PDCs) from HNSCC patients.

Cells from the FaDu line and tumor samples from 39 HNSCC patients were cultivated serially in Matrigel^TM on a 3D pillar/well array culture system. The 3D tumor models were exposed to 0 to 8 Gy of radiation dose, and the radioresponse index (RT_auc, area under the dose-response curve) was measured quantitatively with Calcein AM staining of live tumor cells. Calcein AM fluorescence showed reduced density and the number of FaDu colonies as radiation increased, implying a dose-dependent effect on cell viability in the 3D pillar/well culture system. 3D tumor models using PDCs were established successfully from 39 HNSCC patient tumor samples, maintaining original genomic and pathological characteristics. These 3D tumor models were exposed to ionizing radiation on a 3D pillar/well array, with a mean period of 12 days from tumor harvest to the measurement of RT_auc. The RT_auc of all PDCs varied from 3.5 to 9.4, and the lower 40th percentile (Z-score = -0.26) was considered a good radioresponse group with a threshold RT_auc of 4.6. The good radioresponse group showed fewer adverse features than others. As of the last follow-up, recurrence-free survival was better in the good radioresponse group (p = 0.037). 3D pillar/well array platforms using PDC could rapidly quantify radioresponse index in patients with HNSCC, showing potential as a novel prognosticator.