For several decades now, researchers have been trying to answer the demand of clinical oncologists to create an ideal preclinical model of head and neck squamous cell carcinoma (HNSCC) that is accessible, reproducible, and relevant. Over the past years, the development of cellular technologies has naturally allowed us to move from primitive short-lived primary 2D cell cultures to complex patient-derived 3D models that reproduce the cellular composition, architecture, mutational, or viral load of native tumor tissue. Depending on the tasks and capabilities, a scientific laboratory can choose from several types of models: primary cell cultures, immortalized cell lines, spheroids or heterospheroids, tissue engineering models, bioprinted models, organoids, tumor explants, and histocultures. HNSCC in vitro models make it possible to screen agents with potential antitumor activity, study the contribution of the tumor microenvironment to its progression and metastasis, determine the prognostic significance of individual biomarkers (including using genetic engineering methods), study the effect of viral infection on the pathogenesis of the disease, and adjust treatment tactics for a specific patient or groups of patients. Promising experimental results have created a scientific basis for the registration of several clinical studies using HNSCC in vitro models.
Head and neck squamous cell carcinoma (HNSCC), one of the ten most common cancers, mostly arises from mucosal epithelium in the oral cavity, pharynx and larynx in close proximity to a number of vital structures, which complicates the radical surgical intervention. This tumor is characterized by late diagnosis, rapid progression and resistance to antitumor treatment strategies [1], [2]. HNSCCs are variably sensitive to radiation and drug treatment, while the locally advanced or metastastatic cases require a combination of surgery, radiation therapy, and chemotherapy [2]. But even with the use of several types of antitumor treatment, the recurrence rate of HNSCC reaches 50% [3]. The scarcity of biomarkers of HNSCC resp[1]onse to anticancer therapy reflects the lack of relevant prognostic models for HNSCC [4], [5], [6]. Robust preclinical models are required to address the mechanisms of treatment resistance and progression of HNSCC in order to update the therapeutic strategies [7], [8].
In the middle decades of the 20th century scientists used cutting-edge cell technologies in order to provide convenient and usable system for laboratory investigation of the biological properties of tumor cells. For the first time, primary cell cultures from clinical material of patients with HNSCC were successfully isolated almost half a century ago [9]. Many tumor cultures have been immortalized: to date, several hundred such HNSCC lines have been obtained [7], [10], [11], [12].
Surprisingly, the list of 73 (60 main and 13 additional) human tumor cell lines used in The NCI-60 Human Tumor Cell Lines Screen, designed to identify and characterize novel compounds with growth inhibition or killing of tumor cells, does not include a single HNSCC line [13]. To study this tumor type, a global biological resource, the American Type Culture Collection (ATCC), offers a panel of 6 cell lines: A-253, SCC-9, SCC-15, SCC-25, and FaDu [14], [15]. These six lines carry mutations in one (TP53) or several (CDKN2A, SMAD4, PIK3CA, KDMC5) genes.
In the work of Li et al. the genomic data of 39 HNSCC cell lines was compared with the genomic findings in 106 HNSCC tumors. TP53 was the most commonly mutated gene both in HNSCC tumors and cell lines. Amplification of eight genes (PIK3CA, EGFR, CCND2, KDM5A, ERBB2, PMS1, FGFR1, and WHSCIL1) and deletion of five genes (CDKN2A, SMAD4, NOTCH2, NRAS, and TRIM33) were found in both HNSCC cell lines and tumors; all of these genes had higher alteration frequencies in HNSCC cell lines compared with primary tumors. These findings suggest that mutations and gene copy-number alterations that exist in HNSCC cell lines may result from selection and/or propagation in cell culture that does not reflect critical biological properties of this cancer. Moreover, seventeen genes were only mutated in HNSCC cell lines, but not in human tumors, suggesting that these mutations may arise through immortalization in tissue culture [16].
It is obvious that 2D HNSCC cell lines have significant phenotypic, physiological, genetic and epigenetic differences with the tumor tissue from which they were obtained, due to clonal selection induced by selective survival pressures intrinsic to the culture conditions [16], [17].
The advantages of cell lines as the most simplified in vitro tumor model are undoubted: ease of use, precise control of exogenous factors, economic accessibility, wide range of applications. At the same time, the main problem is their inconsistency with the 3D architecture of tumor tissue, which provides a gradient of gases, nutrients and biologically active substances that can be reproduced in in vivo models [18]. To overcome this discrepancy, immortalized cells can be transplanted subcutaneously or organotopically into immunodeficient animals, obtaining cell-line derived xenografts, which are voluminous neoplasms, often capable of metastasis [7].
The possibility of obtaining such xenografts has been shown for many HNSCC cell lines (for example, A-253 [19], [20], FaDu [20], [21], CAL27 [22], Detroit 562 [23], etc.) and is actively used to evaluate the effectiveness of antitumor agents, search for methods for imaging tumor cells in vivo, or study the mechanisms of carcinogenesis. However, this path of transition to a 3D model of HNSCC cannot be called optimal, since immunodeficient animals require enormous financial and labor costs, obtaining a tumor volume sufficient for research work (150-300 mm3) takes several weeks, and some of the planned studies may turn out to be completely unavailable, for example, due to high radiosensitivity of some strains of mice (NOD-SCID), which precludes experiments using radiation therapy [24]. Moreover, not all HNSCC cell lines are tumorigenic: among the 10 lines first described in 1981, only 3 have been confirmed to grow as transplantable xenografts [9].
An attempt to find a balance between the availability and reproducibility of simple models based on 2D adherent tumor lines and the relevance of labor-intensive 3D in vivo animal-based models ultimately led researchers to the creation of 3D in vitro cell models, the variety of forms of which allows studying different aspects of tumor tissue biology [8], [25]. Important to note, the development of 3D cell models, their improvement and implementation in preclinical practice contributed to the rationalization of the use of animals in research, complying with the principles of “The Three R’s” (Reduction, Replacement, and Refinement) in animal research [26], [27].
Spheroids
Multicellular spheroids collected from tumor cells are considered the most simple and reproducible in vitro tumor model capable of reflecting the response of tumor tissue to therapy [25], [28]. Changing cultivation conditions during the transition from 2D to 3D leads to the formation of volumetric multicellular conglomerates in which cells interact with each other and the external environment without the participation of a culture substrate, as a result of which pathophysiological gradients characteristic of tumor tissue are formed in the spheroids [29], [30], [31], [32].
Large spheroids with a diameter of 500 μm or more reproduce the oxygen gradient characteristic of tumor tissue, forming a focus of hypoxia in its center, which affects the processes of tumorigenesis, activating protumor transcription [33], [34] and triggering mechanisms for the development of chemo- and radio-resistance, which leads to increased tumor growth and worsening patient outcomes [35], [36]. Under conditions of insufficient tissue perfusion, protons and lactic acid accumulate in the extracellular space, leading to the formation of an acidic extracellular microenvironment and creating a pH gradient. This phenomenon is similar to the Warburg effect associated with lactate accumulation in solid tumors [37].
The formation of spheroids occurs spontaneously under conditions where cell-cell interactions predominate over interactions between cells and the culture substrate. In fact, all the main methods for forming spheroids are aimed at creating the following conditions: the hanging drop method, culturing cells in dishes or vials with an ultra-low adhesion surface, culturing using rotational systems or magnetic fields. In each of these methods, the main task is to minimize the contact of cells and the culture substrate, however, the methods for solving this problem differ:
1) completely remove the substrate, culturing cells in a drop supported by surface tension (hanging drop method) [38], [39], [40];
2) modify the substrate, eliminating the possibility of cells to attach to it (culturing in dishes or plates with an ultra-low adhesion surface) [41], [42];
3) ensure continuous mixing of the cell suspension, preventing cells from settling and coming into contact with the substrate (agitation-based method, magnetic levitation) [32].
The first two methods are most commonly used to create spheroids from immortalized cell lines or primary cell cultures isolated from tumor tissue of patients with HNSCC [40], [42].
It's obvious that primary cultures are inherently heterogeneous and are obviously more relevant models for use in personalized medicine. However, the process of obtaining spheroids from HNSCC primary cultures does not always lead to the desired result:
1) part of the material may be initially contaminated with bacteria or fungi;
2) during the cultivation process, epithelial cells can be replaced by more rapidly proliferating stromal cells;
3) the rate of cell proliferation and the efficiency of spheroid formation decreases with an increase in the number of passages performed,
4) some methods for obtaining spheroids from such cultures are ineffective [43], [44].
To reproduce the heterogeneous composition of tumor tissue, it was proposed to use heterospheroids (or heterotypic spheroids, co-culture spheroids) [45], consisting of a well-characterized immortalized HNSCC line and an additional cellular component usually associated with tumor cells in vivo (immune cells or fibroblasts) [46], [47], [48], [49].
Thus, reproducible and accessible protocols for obtaining spheroids from immortalized lines or primary cultures of HNSCC allow the creation of in vitro models, in which diffusion restrictions are reproduced not only for oxygen and nutrients, but also for the transport of biologically active substances, imitating the physiological barriers existing in vivo. In many respects, spheroids are closer to tumor tissue than 2D cell cultures, which allows them to be used as a relevant preclinical model for testing the efficacy and toxicity of many anticancer drugs [29], [38], [39].
Tissue-engineered models
2D cultures and spheroids have a significant drawback as an in vitro model, namely the lack of interaction between tumor cells and the extracellular matrix (ECM), which plays an important role in the occurrence and progression mechanisms of HNSCC [50]. In order to increase the relevance of in vitro tumor models, tissue engineering methods were used, namely cell culture on 3D scaffolds. The first attempts to culture HNSCC cells in collagen gel were made at the end of the 20th century [51], [52], and the first model of HNSCC using a synthetic scaffold was created in 2007, based on oral squamous cell carcinoma (OSCC-3) cells cultured within highly porous poly(lactide-co-glycolide) scaffold [53]. Currently, type I collagen in the form of a gel [54] or a porous matrix [55] is most often used as a scaffold material for modeling HNSCC. Such scaffolds are seeded with both immortalized tumor cells and primary cultures obtained from tumor tissue of patients with HNSCC [54], [55], [56].
A more complex technology for creating a 3D model of tumor tissue using TRACER (the Tissue Roll for Analysis of Cellular Environment and Response) is also described. It is a novel model in which cells (HNSCC cell lines CAL33 or FaDu co-cultured with cancer-associated fibroblasts) embedded in a collagen hydrogel infiltrate into a porous cellulose scaffold that is then rolled around an aluminum core to generate a multi-layered 3D tissue [57], [58].
Such models are very convenient for studying the interaction of tumor cells and individual proteins of the extracellular matrix or stromal cells [58], and the variability of the scaffolds used makes it possible to control the conditions of this interaction, for example, providing normoxia [57] or hypoxia [55].
Another option for this type of in vitro model is the culturing of tumor cells on decellularized ECM, when cellular components are removed, and the biological composition is mostly preserved. It was found that ECM from oral cavity tumor tissues influenced the proliferation, apoptosis, and migration of tumor cells, as well as polarized macrophages towards an anti-inflammatory phenotype; which once again confirmed the hypothesis of a significant influence of the ECM on the progression of HNSCC [50].
Thus, tissue-engineered in vitro tumor models provide a native-like tissue context for studies of HNSCC biology, but their applications are still at an early stage.
Bioprinted models
In recent years, the method of 3D printing of tissues (including tumor tissues) has been actively developing. This method makes it possible to create complex, volumetrically defined structures, which are also anatomically accurate and relevant [59]. The method consists of constructing 3D structures by precise spatial superimposing layers of bioink (biocompatible hydrogel) that contain cells or cell conglomerates, cytokines and extracellular matrix components [60], [61], [62].
Currently, there are not many works describing the successful modeling of HNSCC using the bioprinting method. In a study by Kort-Mascort et al. emphasis was placed on the development of a new printable biogel containing alginate and gelatin as rheological modifiers, which impart mechanical integrity to the biologically active decellularized ECM (dECM), derived from porcine tongue after its decellularization and solubilization. The topographical characterization of the bioink showed a fibrous network with nanometer-sized pores. Immortalized cell lines UM-SCC-12 (larynx carcinoma) or UM-SCC-38 (oropharynx carcinoma) were selected as the cellular component. The model in the shape of discs with 5 mm diameter and 500 µm height was printed using extrusion printing. The model was highly reproducible and allows proliferation and reorganization of HNSCC cells while maintaining cell viability above 90% for periods of nearly 3 weeks; cells produced spheroids of at least 3000 μm2 of cross-sectional area by day 15 of culture and were positive for cytokeratin. The resulting 3D model was used to assess the response of tumor cells to cisplatin and 5-fluorouracil [63]. The authors continued their work in this direction and recently published data on an improved 3D model of HNSCC, in which the cellular component was represented by two types of cells - UM-SCC-38 and A8-HVFFs (immortalized human vocal fold fibroblasts) in a ratio of 1:2. In the process of culturing the model, spheroid development and growth over time with cancer cells in the core and fibroblasts in the periphery were observed [64].
It can be concluded that the 3D bioprinted model of HNSCC is essentially an improved tissue-engineered model, where a hydrogel is used as a scaffold, and the use of a printing method instead of the usual layering of the gel on a substrate allows for more accurate control of the compliance of the tissue architecture with the specified parameters. So far, bioprinted HNSCC models have been obtained only for immortalized lines, which is due to the need to use a large number of cells to obtain the desired result (in [64] cells were encapsulated in gel at a final concentration of 10 million cells per ml). Obviously, an important task for researchers is to obtain such 3D models with HNSCC patient-derived cells to closely match more biological features and potentially use this technique for personalized medicine.
Organoids
The technology of obtaining organoids, which represent an improved in vitro model that combines the advantages of spheroids (the ability of cells to 3D self-organization) and tissue engineering models (the presence of ECM) helped researchers to advance even further on the path to studying the interaction of tumor cells and the ECM [65]. Based on grammar, -oid is a suffix meaning “resembling”, organoid thus means “resembling an organ”, so, organoids have to exhibit at least some organ functionalities of the modeled tissue [66]. Over the years of improving protocols for the production and use of organoids as an in vitro model of tumor tissue (in this case, the term “tumoroid” is also used), their main mandatory properties have been determined:
1) organoids contain tumor cells at different levels of differentiation, including cancer stem cells;
2) organoids consist of several cell types that self-organize in space, reproducing the architectonics of the original tumor tissue;
3) self-organization of the organoid occurs in the presence of the ECM;
4) the interaction of cells and the ECM allows reproducing the functional properties of the simulated tumor tissue [66], [67], [68].
Thus, organoids have high genetic and phenotypic similarity to native tissue, maintaining the original intratumoral heterogeneity [69], [70].
Most often, organoids for modeling HNSCC are obtained from resected tumor tissue of the patient. At the first stage, the biopsy sample is cleared of tissues of the peritumoral area (connective, muscle, fat), then washed very thoroughly, since the area of material collection (oral cavity, pharynx, nasal septum) is highly likely to be contaminated with bacteria or fungi. Next, the tissue is subjected to mechanical and enzymatic disaggregation using collagenases, dispase, hyaluronidase, trypsin, EDTA (separately or as part of a cocktail of enzymes), after which sieved single cells or cell clusters are plated in a 3D extracellular matrix (ECM) hydrogel such as basement membrane extract (BME), where they form complex conglomerates [71]. This matrix is obtained from the basement membrane of sarcoma of Engelbreth-Holm-Swarm (EHS) mice, it is rich in such ECM proteins as laminin (a major component), collagen IV, heparan sulfate proteoglycans, entactin/nidogen, and a number of growth factors. It is easy to use and commercially available in standard, protein-enriched or growth-factor reduced versions [72]. On the other hand, the EHS matrix is extremely complex: proteomic analysis shows that it contains more than 1,800 unique proteins, the ratio of which varies from lot to lot, which can affect the reproducibility of the properties of organoids grown in it. In addition, the matrix obtained from mouse tumor tissue has an obvious drawback - it does not meet animal-derived free standards, which will undoubtedly become mandatory for biomedical products in the near future, so researchers are actively looking for a replacement among synthetic or natural hydrogels [73], [74].
In protocols for obtaining organoids from head and neck tumor tissue, the steps for isolating individual cells or clusters do not differ fundamentally between different research groups, but the composition of the culture medium varies significantly [71], [75], [76], [77], [78], [79]. The number of studies that resulted in the successful production of HNSCC organoids is small due to difficult logistics (the time from resection of tumor tissue to delivery to the laboratory must be minimized), often insufficient volume of biomaterial, as well as high requirements for the qualitative and quantitative composition of the culture medium, which demands the mandatory presence of growth factors, cytokines and inhibitors of signaling pathways leading to the triggering of apoptosis or epithelial-mesenchymal transition. At the same time, the efficiency of obtaining organoids from tumor tissue of the head and neck does not exceed 60-70%, even in laboratories that have been actively working with this material for many years [71], [79].
It is believed that the main factor influencing the efficiency of obtaining this 3D model of HNSCC is the quality of the initial biomaterial: necrotic tumor tissue has poor organoid-forming efficacy. It has also been shown that organoids can be established from cryopreserved tissues, although the efficacy of derivation is probably lower than that obtained when starting with fresh material [71].
According to Wang et al. the efficiency of obtaining HNSCC organoids is also affected by:
1) mass of biomaterial (for tumor samples weighing less than 50 mg, the efficiency of obtaining organoids from it is reduced to 3%),
2) time of transportation of tumor tissue to the laboratory (time exceeding 24 hours leads to a decrease in efficiency from 60-70% to 22%),
3) composition of the culture medium (for example, concentration of Wnt3a, R-spondin-1, EGF, Y27632, Noggin, and FGF2),
4) ECM used (Matrigel is preferable to collagen I),
5) primary/recurrent tumor status (for nasopharyngeal carcinoma, the efficiency of obtaining organoids is 82% for recurrent tumor and only 47% for primary tumor) [79].
In the same study, Wang et al. showed that the effectiveness of obtaining organoids from nasopharyngeal carcinoma tissue does not depend on the gender and age of the patient, as well as on the Clinical stage or Lesion location (primary focus or metastasis) of the tumor [79].
So, obtaining organoids requires significant material and time costs, as well as highly qualified personnel and close coordination of clinicians and cell biologists. The result is a tumor model that can be maintained in vitro for a long time, while maintaining genetic stability [80], [81] and fairly fully reproducing the morphological characteristics of the original tissue. For example, organoids from nasopharyngeal carcinoma do not express CK7, unlike organoids from normal mucosa obtained from the same patient, which corresponds to differential expression of this marker in the original tissues [79]. It has been shown that organoids, when cultured, retain the expression of many other markers of head and neck tumors, including those used to identify cancer stem cells: CK13, CK18, ALDH1A1, BMI-1, CD44, CD133 [75], [76], [77], [79], [81]. Interestingly, lactate, which is promoted by Wnt activity, is required to maintain the population of CD133+ cells in HNSCC organoids. Moreover, silencing monocarboxylate transporter 1 (MCT1), the prominent pathway for lactate uptake in human tumor, with siRNA significantly impaired organoid forming capacity of oral squamous cell carcinoma cells, which allows MCT1 to be considered as a potential therapeutic target for the treatment of HNSCC [77].
Tumor explants and histocultures
Another type of 3D cell model is patient-derived tumor explant (PDE) cultures, in which a tissue fragment is kept alive under ex vivo culture conditions. Explants require minimal manipulation to obtain an in vitro tumor model: the tissue, after mechanical grinding (usually to fragments of 1-3 mm3 in size), is placed in a culture medium. This approach allows preserving the heterogeneous composition of the original tumors, including the extracellular matrix and tumor-associated cells [82]. Explants are often used to obtain adherent 2D primary cell cultures, but in the case of the PDE model this is not a task, so researchers cultivate explants under special conditions that exclude the migration of plastic-adherent cells from the tissue fragment. To do this, HNSCC explants are placed on an additional supporting matrix, for example, a collagen sponge [11] or a dermal equivalent consisting of human fibroblasts cultured on a viscose fiber fabric [83].
Despite the ease of production and the possibility of preserving the architecture of tumor tissue, the scope of application of PDE as an in vitro model is significantly limited by its fragility: most often, PDE is used for rapid testing of the effectiveness and/or toxicity of drugs within 5-7 days after obtaining [82]. It has been shown that the viability of HNSCC explants decreases from 90% to 30% within a week after the start of culturing [84]. The survival rate of HNSCC explants can be increased several times by modifying the culture protocol, for example, adding hydrocortisone, aprotinin, ascorbic acid, EGF, folic acid to the medium [83], [84] or placing the explant in more physiological conditions that imitate contact with normal tissue, for example onto the surface of the dermal equivalent [83] or into cell sheet composing of epithelium and subepithelial stroma [85]. Under such conditions, explants can be maintained in culture for 21 [83] or even more than 30 days [85], while cancer cell heterogeneity and microenvironment, including vital immune cells, as well as tissue foci of hypoxia are maintained.
Another option for this type of 3D model is histoculture. When preparing it, tumor tissue, as when obtaining explants, is crushed mechanically, not with surgical instruments, but with the help of a vibratome, which makes it possible to obtain thick sections of unfixed tissue. In these sections, as in explants, tumor cells are retained in their original microenvironment, including the extracellular matrix and immune and stromal cells [86]. The main problem with culturing histocultures is rapid deterioration of tissue condition and loss of cell viability (from 2 [87] to 6 days [88]). However, this time is sufficient to assess the response of tumor tissue to the action of, for example, cisplatin, docetaxel and cetuximab, while apoptotic fragmentation, activation of caspase 3, and cell loss were observed in treated tumor slices, that demonstrated a heterogeneous individual response [87], [88].
Thus, explants and histocultures of HNSCC are easy to obtain and effective for quickly assessing the response of tumor tissue to drug therapy, which suggests their promise for use in personalized medicine.
Microfluidic Devices (Tumor-on-Chip)
At the very beginning, we will make an important note: the culturing of tumor cells in Microfluidic Devices is not a separate type of model, rather, it is a special technology for culturing the models described above, providing continuous perfusion and removal of waste from cells and mimicking the function of the circulatory system. Microfluidic devices exploit the physical and chemical properties of liquids and gases at a microscale: in such systems, liquids circulate through channels with dimensions of tens to hundreds of micrometres. Thanks to their small size, microfluidics allow the analysis and use of less volume of samples, chemicals and reagents reducing the global fees of applications. In addition, this technology makes it possible to very accurately control the impact on the object under study, and also in the future makes it possible to automate routine research work. To assess the tumor response to exposure, it is possible to analyze both the system effluent (sampling can be carried out at any selected interval, for example, every 2 hours) and the object itself after extraction [89], [90].
When modeling HNSCC, Microfluidic Devices are most often used for culturing tumor tissue fragments (5–10 mg biopsies or 350 µm tumor slices), with in vitro culture duration from 2 to 9 days [90], [91], [92], [93], [94], [95].
Thus, tumor-on-chip technology is a valuable tool for personalized assessment of the effectiveness of various antitumor agents (alone or in combination), allowing dynamic monitoring of the response of tissue samples from patients with HNSCC to irradiation or chemotherapy. The development of microfluidic platforms can improve patient outcomes through the selection of an optimal personalized treatment strategy.
For several decades, preclinical studies of HNSCC have been carried out on in vitro models, which make it possible to evaluate the effectiveness of antitumor therapy, study resistance mechanisms, and improve early diagnostic and screening tests [7], [8], [18], [96]. To study the HNSCC biology, several types of in vitro models, differing in many parameters, are currently actively used (Table 1).
Table 1. In vitro models of HNSCC: main features
|
2D | 3D | |||||||||||||||||||||||||||||
|
Immortalized | cell lines | Primary | cell cultures | Spheroids and | heterospheroids | Tissue-engineered | models | Bioprinted models | Organoids | Explants and | histocultures | |||||||||||||||||||
Source |
cell biobanks | patient-derived tissue |
patient-derived tissue, primary cell cultures, immortalized cell lines |
patient-derived tissue | |||||||||||||||||||||||||||
Heterogeneity of tumor cellular composition |
not preserved | partially preserved | depends on the source | preserved | |||||||||||||||||||||||||||
ЕСМ |
no | natural and synthetic polymers, decellularized tissue | bioink based on hydrogels | basement membrane matrix, collagen | native | ||||||||||||||||||||||||||
Tissue architecture, pathophysiological gradients |
absent | partially | reconstituted | reconstituted | preserved | ||||||||||||||||||||||||||
In vitro culture duration |
not limited | limited | |||||||||||||||||||||||||||||
Difficulty of obtaining |
low | medium | high | medium | |||||||||||||||||||||||||||
Major advantages |
availability, stability of properties, many years of experience in use, ability to obtain a 3D model | availability, ability to obtain a 3D model | the most available 3D model | convenience of studying the ECM -cells interaction, possibility of getting a model with given linear dimensions | obtaining artificial tumor tissue with specified spatial characteristics | capability to support tumor cells at different levels of differentiation, mimicking the tumor microenvironment | minimally manipulated tumor tissue | ||||||||||||||||||||||||
Specific disadvantages |
chromosomal instability, impossibility of use for personalized medicine | the initial ratio of tumor and tumor-associated cells and their properties may change during cultivation | prone to fusion to form conglomerates, difficulty in controlling size | a lot of cells are required for modelling | a lot of cells are required for modelling, sophisticated equipment is required | production efficiency about 60-70% | long-term in vitro cultivation requires supporting matrices or microfluidic devices |
The choice of a specific model depends on the tasks and capabilities of the scientific laboratory. Obviously, 3D models of HNSCC are more valuable from a researcher’s point of view than cell lines or cultures, since they more accurately reproduce the cellular composition and architecture of tumor tissue [62], [96], [97]. These properties allow the use of 3D models to study disease pathogenesis and progression, for which cell-cell interactions and various pathophysiological gradients are important. Despite varying success rates in generating 3D models, there is consensus regarding their promising potential for testing anticancer agents and enhancing the predictive value of preclinical studies [43], [40], [81], [75], [96], [97].
More than 200 papillomavirus types infect humans. According to the World Health Organization International Agency for Research on Cancer (WHO IARC), HPV types 16 and 18 are classified as carcinogenic to humans (Group 1), HPV types 31 and 33 are probably carcinogenic (Group 2A), and HPV types 35, 39, 45, 51, 52, 56, 58, and 59 are possibly carcinogenic (Group 2B) [98]. Some researchers suggest considering HPV+ and HPV- HNSCC as separate groups of neoplasms. Compared to HPV-negative HPV+ HNSCC more commonly affects the oropharynx (predominantly), hypopharynx, and larynx than the oral cavity. Moreover, HPV+ HNSCCs have different pathological patterns, immune signature and mutation burden: greater infiltration of B-cells into the tumor microenvironment, fewer genetic mutations, and intact apoptotic response, which may explain the improved prognosis and superior response to radio- and immunotherapy and significantly longer median survival than HPV-negative HNSCC (130 months vs 20 months) [1].
So, it is not surprising that when modeling HNSCC in vitro, scientists always emphasize the HPV status of the cell line or tumor cells within the 3D model. HPV accounts for 72% of all head and neck squamous cell carcinoma cases in developed nations [1], however, in fact, researchers rarely work with HPV+ HNSCC in vitro models. Just compare: the number of currently available HPV+ immortalized HNSCC cell lines is significantly limited, with 8 lines precisely known (UMSCC-47, UMSCC-104, UPCI:SCC090, UPCI:SCC152, UPCI:SCC154, 93-VU-147T, HMS001, and LU-HNSCC-26) [11],[75],[99], while the number of HPV-negative lines is in the hundreds.
The development of primary cell lines from a naturally infected HPV+ cancer is rarely successful [12] due to the low mutational load; for example, the TP53 gene is almost always wild-type both in tumor tissue and in primary cell cultures or immortalized cell lines derived from it [75], [99]. The preservation of genes involved in cell cycle control and apoptosis induction leads to low proliferation rates of HPV+ tumor cells when transferred to a 2D monolayer; the cultures are highly radiation and drug-sensitive and readily enter senescence. It is important to note that immortalized HPV+ cell lines retain the radiation sensitivity both in 2D form and when cultured in the form of spheroids or cell line-derived xenografts [100], [101]. Interestingly, some HPV+ immortalized lines are unable to form stable 3D spheroids (for example, UMSCC-47) or only form slowly growing spheroids (for example, UPCI:SCC090) [101].
Similar difficulties are observed with patient-derived 3D models. For a long period of time, the attempts to obtain organoids from HPV-associated HNSCC were unsuccessful. This was primarily for clinical reasons: the patients with HPV+ HNSCC less commonly receive surgery. One of the first organoids from HNSCC specimens were obtained by Tanaka et al., with the efficiencies similar for HPV+ (3/9) and for HPV- (10/34) patients [75]. HPV+ organoids can also be obtained by infection of oral mucosa organoids. Driehuis et al. used HPV16 particles, which led to accumulation of viral DNA in organoids and after 12 days the presence of virions was confirmed in a conditioned medium [81]. Another available HPV+ in vitro model involves patient-derived explants: culturing on a supporting matrix (dermal equivalent) allows maintaining the viability of a tumor tissue fragment for up to 14-21 days depending on the sample [83].
The development and implementation of a personalized approach in clinical oncology requires constant improvement of preclinical models aimed at maximizing the approximation of cell models to the structure of the native tumor and increasing the efficiency of obtaining such models. For in vitro models of HNSCC, several areas of research can be distinguished.
Models of vascularization
In the tumor in vivo microenvironment, there is an active interaction between tumor and endothelial cells, which is important for the recruitment of angiogenic cells, tumor cell survival and migration [102], [103]. In most cases, the method of co-cultivation of 2D cultures is used to analyze the interaction of tumor and endothelial cells [104]. It has been shown that exosomes produced by PCI-13 (HPV-) and UMSCC47 (HPV+) cell lines, as well as exosomes from plasma of HNSCC patients stimulated proliferation, migration, and tube formation by human umbilical vein endothelial cells (HUVECs) in vitro and promoted formation of defined vascular structures in vivo [105]. To improve inter- and intratumoral vasculature, tumor cells actively produce proangiogenic factors. When 2D HNSCC cell lines are transferred to 3D culture conditions, their proangiogenic potential increases: transplantation of a suspension of primary cancer-associated fibroblasts and 3D spheroids from FaDu cells led to the growth of a well-vascularized tumor in a mouse model of xenografts, while when transplanting cell suspensions from 2D cultures gradual necrosis of the graft due to insufficient blood supply to the tissue was observed [106]. To our surprise, we found a description of only one vascularized 3D model of HNSCC. Bessho et al. created a tissue-engineered model of oral cancer: human oral squamous cell carcinoma (HSC-4) cells, human umbilical vein endothelial cells (HUVECs), and normal human dermal fibroblasts were successfully cocultured within gelatin-based matrix, resulting in structures that mimicked 3D-cancer tissues. This model was used to assess sensitivity to X-ray irradiation [107].
Angiogenesis in solid tumor tissue is a promising target for HNSCC targeted therapy. Researchers are actively searching for signaling molecules and pathways of interaction between epithelial and tumor cells, and tumor associated lymphocytes (including B cells and T cells) [108] or macrophages [25] can act as mediators in this interaction. To create a relevant model that is as close as possible to native tissue, it is necessary to reproduce in vitro one of the key processes of tumor progression and metastasis - angiogenesis [109], [110]. The furthest along this path has been bioprinting technology, which can directly bioprint the vascular wall structures or create hollow channels inside a volumetric matrix that will be populated by endothelial cells later [103]. Microfluidic technologies also make it possible to study various aspects of the interaction between tumor and endothelial cells in vitro: metastasis (intra- and extravasation), chemotaxis, production of angiogenic factors, etc. [111], [112]. New prospects, in our opinion, are also opening up for patient-derived explant cultures: culturing an explant of tumor tissue on an artificial vascular bed (co-culturing vascular endothelial cells and smooth muscle cells in a matrix comprising ECM components and growth factors) can increase the duration of its existence ex vivo [82].
New types of matrices for tumor cell culturing
Currently, there is an active process of abandoning xenogeneic reagents when modeling human tissues in vitro in favor of autogenous or allogeneic materials: it is assumed that such a replacement will make it possible to recreate a more favorable microenvironment for cells, simulating their original environment in vivo [113]. Thus, when modeling HNSCC in vitro, it was proposed to use allogeneic gels based on human tumor tissues -human uterine leiomyoma-derived Myogel or human pre-metastatic neck lymph node-derived Lymphogel, instead of Matrigel (solubilized basement membrane preparation extracted from the Engelbreth-Holm-Swarm mouse sarcoma) [114], [115]. Such matrices differ in their protein composition, including the content of unique adhesion-related proteins [115]. An experiment involving 12 HNSCC cell lines revealed an increase in the resistance of tumor cells to the action of EGFR and MEK inhibitors compared to cells cultured on plastic or in Matrigel. The authors of the work suggest that human tumor matrix improves the predictability of in vitro anticancer drug testing [114].
Currently, the attention of researchers is aimed at the development of personalized medicine, where an important tool is 3D models obtained from tumor tissue of patients. The main goal is to obtain a model that can predict the patient's response to therapy in order to optimize the treatment strategy [116]. In the case of HNSCC, we can already talk about certain successes in this direction.
Valuable information for clinicians can be obtained by using Patient-derived explants (including those cultured using Microfluidic devices) to test antitumor therapy [117]. Such studies already make it possible to identify inter- and intra-patient variability in response to irradiation and chemotherapy [99].
Tanaka et al. managed to obtain HNSCC organoids that were as close as possible to the primary tumor: they had a similar morphology, retained the expression of markers of mesenchymal (vimentin) and tumor (CD44 and ALDH1A1) cells, although CD68+ cells were found only in the tumor, but not in the organoids. When testing sensitivity to platinum and docetaxel therapy in the resulting organoids, consistency was found between the response in vitro and in vivo [75].
Driehuis et al., analyzing the expression of markers TP63, TP40, Ki67, CK13, CK5, convincingly showed that organoids obtained from the mucous membrane of the oral cavity or tongue recapitulate the functional and morphological characteristics of the tumor [81], [118]. The same study found that the response of organoids to radiation correlated with the response of patients: 3 organoid lines were among the most resistant when exposed to radiotherapy in vitro, and 3 corresponding patients relapsed after undergoing radiotherapy; moreover, patient, whose organoid line showed the highest sensitivity to irradiation, had a lasting response to palliative radiotherapy [81].
Millen et al. describes the Organoid biobank, which stores a collection of biomaterial from patients with HNSCC of various anatomical locations and histological cancer subtypes. During routine surgical resection or biopsy procedures in 2019-2022, samples were collected from 228 patients, but organoids were successfully obtained from only 97 patients (42.5% efficiency). To store organoids, the biobank uses cryopreservation technology; the proportion of successfully thawed organoids was 70.9%. The resulting organoids retained histopathological and molecular features of primary tumor tissue: tumor cells in their composition expressed CK13 and p63, a genetic study revealed mutations in the tumor-associated genes TP53 (in 63% of organoids), NOTCH1, PIK3CA, FAT1, and APOB, gains of oncogenes including PIK3CA, FGF3, and FGF4 and loss of tumor suppressor CDKN2A. The collection included unique samples, for example, 4 salivary gland tumor organoid models that retained the ability to produce mucin and amylase, as well as organoids from tissues of a patient with Fanconi anemia, which had increased sensitivity to double-stranded DNA breaks induced by mitomycin-C. Despite the similarity of organoids and tumor tissue at the cellular and molecular levels, while combined treatment (radiation therapy + cisplatin) no clear correlation between organoid and patient response was observed. At the same time, the organoid response to radiotherapy (measured as organoid viability at 2 Gy) correlated with clinical relapse status in the adjuvant setting but not in the primary setting. In addition, the researchers successfully used CRISPR-Cas9 base-editing technology to introduce the E545K mutation (one of the most common PIK3CA mutations), which opens up new opportunities for scientists to use patient-derived 3D models to search for and validate potential biomarkers of HNSCC response to therapy [119].
Promising results of experimental work allowed scientists to move on to promoting clinical trials using in vitro models of HNSCC. In November 2023, only 3 clinical trials were registered, which is entirely attributable to the difficulty of obtaining patient-derived models of head and neck cancer.
The ORGAVADS (ORGAnoids + VADS (French “voies aérodigestives supérieures”) tumors) study is a multicenter observational trial (NCT04261192) conducted to investigate the feasibility of generating and testing patient-derived tumor organoids derived from HNSCC for the evaluation of sensitivity to treatments (chemotherapy, radiotherapy, PARP inhibitors and immunotherapy). The planned number of study participants is determined taking into account that the expected efficiency of obtaining organoids from patient material will be about 60%. The sponsor (Centre Francois Baclesse) assumes that this screening could make it possible to refine the choice of treatments adapted to each patient and thus limit the undesirable effects [78], [120].
Investigators hypothesize that high-throughput screening on patient-derived tumor organoids can be used as an adjunct tool to aid treatment selection in patients with cancer. The objective of NCT04279509 study is to determine if a drug screen assay (panel of 10 primary and 5 additional anticancer drugs) using personal organoid models can accurately select a chemotherapeutic agent that results in objective response in patients with refractory solid tumors (including HNSCC) [121].
The SOTO (Sensitivity of Organoids to Treatment Outcome) prospective observational study (NCT05400239) aims to determine the sensitivity of organoids obtained from patients with HNSCC to radiotherapy, platinum (cisplatin and/or carboplatin) chemotherapy or cetuximab or their combination, with subsequent determination of the correlation of the treatment sensitivities of organoids with the treatment outcome of patients [122].
If successful, the clinical trials described above will mark a new stage in the development of personalized medicine in head and neck cancer.
For several decades now, researchers have been trying to answer the request of clinical oncologists to create an ideal preclinical model of HNSCC that is accessible, reproducible and relevant. Over the past years, the development of cellular technologies has naturally allowed us to move from short-lived primary 2D cell cultures to complex patient-derived 3D models that reproduce the cellular composition, architecture, mutation or viral load of native tumor tissue. The variety of models developed in vitro allows scientific teams to solve a wide variety of problems: screening agents with potential antitumor activity, studying the contribution of the tumor microenvironment to its progression and metastasis, determining the prognostic significance of individual biomarkers (including using genetic engineering methods), studying the influence of viral infection on the pathogenesis of the disease, as well as adjusting the treatment tactics for a specific patient or groups of patients. Promising experimental results have created a scientific basis for the registration of several clinical studies using in vitro models of HNSCC. It can be assumed that in the coming years, the field of in vitro modeling of tumor tissues will actively develop: biobanks of such models will become widespread, new biomarkers of HNSCC with high predictive value will be identified, the proportion of successful clinical trials and the effectiveness of treatment will increase due to more accurate results of preclinical studies.
Funding: The work was supported by the Ministry of Education and Science of the Russian Federation within the framework of Agreement No. 075-15-2021-1356 (October 7, 2021; internal No. of the Agreement - 15.SIN.21.0011; identifier RF0951.61321X0012).
The study was supported by State Assignment No. 122030200537-5.