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Morphological and molecular characteristics of spheroid formation in HT-29 and Caco-2 colorectal cancer cell lines

Abstract

Background

Relapse and metastasis in colorectal cancer (CRC) are often attributed to cancer stem-like cells (CSCs), as small sub-population of tumor cells with ability of drug resistance. Accordingly, development of appropriate models to investigate CSCs biology and establishment of effective therapeutic strategies is warranted. Hence, we aimed to assess the capability of two widely used and important colorectal cancer cell lines, HT-29 and Caco-2, in generating spheroids and their detailed morphological and molecular characteristics.

Methods

CRC spheroids were developed using hanging drop and forced floating in serum-free and non-attachment conditions and their morphological features were evaluated by scanning electron microscopy (SEM). Then, the potential of CSCs enrichment in spheroids was compared to their adherent counterparts by analysis of serial sphere formation capacity, real-time PCR of key stemness genes (KLF4, OCT4, SOX2, NANOG, C-MYC) and the expression of potential CRC-CSCs surface markers (CD166, CD44, and CD133) by flow cytometry. Finally, the expression level of some EMT-related (Vimentin, SNAIL1, TWIST1, N-cadherin, E-cadherin, ZEB1) and multi-drug resistant (ABCB1, ABCC1, ABCG2) genes was evaluated.

Results

Although with different morphological features, both cell lines were formed CSCs-enriched spheroids, indicated by ability to serial sphere formation, significant up-regulation of stemness genes, SOX2, C-MYC, NANOG and OCT4 in HT-29 and SOX2, C-MYC and KLF4 in Caco-2 spheroids (p-value < 0.05) and increased expression of CRC-CSC markers compared to parental cells (p-value < 0.05). Additionally, HT-29 spheroids exhibited a significant higher expression of both ABCB1 and ABCG2 (p-value = 0.02). The significant up-regulation of promoting EMT genes, ZEB1, TWIST1, E-cadherin and SNAIL1 in HT-29 spheroids (p-value = 0.03), SNAIL1 and Vimentin in Caco-2 spheroids (p-value < 0.05) and N-cadherin down-regulation in both spheroids were observed.

Conclusion

Enrichment of CSC-related features in HT-29 and Caco-2 (for the first time without applying special scaffold/biochemical) spheroids, suggests spheroid culture as robust, reproducible, simple and cost-effective model to imitate the complexity of in vivo tumors including self-renewal, drug resistance and invasion for in vitro research of CRC-CSCs.

Background

Colorectal cancer (CRC) is the third most common cancer and the cause of cancer related-death in both men and women worldwide [1]. Although the effective therapeutic interventions including surgery, chemo- and radiotherapy have improved the survival of patients with CRC, recurrence and metastasis are the main causes of CRC-related death [2]. There is accumulating evidence that most solid tumors including CRC originate from tumor initiating or cancer stem cells (CSCs) [3,4,5]. CSCs are referred to as a sub-population of tumor cells with stem cell-like properties including self-renewal and multi-lineage differentiation capacity which are resistant to conventional therapies [6,7,8,9]. In fact, the emerging evidence has shown that the deregulation of signaling pathways involved in self-renewal of normal stem cells leads to uncontrolled development of tumor cells along with functional and proliferative tumor heterogeneity [10].

Most of the challenges in cancer treatment such as treatment failure, tumor aggressiveness, relapse, metastasis and poor prognosis are related to CSCs characteristic, most of which are attributed to epithelial to mesenchymal transition (EMT) potential, stemness signaling pathways regulating pluripotency, as well as the high expression of ATP-binding cassette (ABC) transporter genes in this subpopulation [11,12,13,14,15,16,17,18]. Hence, the complete regression of tumors requires identifying biological features of CSCs in in vitro and in vivo CSC models that may help to explore new approaches to target this subpopulation. There are several strategies of CSCs targeting including self-renewal prevention, altering drug permeability and stimulation of their differentiation [19,20,21]. Moreover, signal transduction pathways and microenvironmental signals in CSCs are considered the main therapeutic aspects linked to stem-cell biology that can be targeted [13, 22, 23].

Since it is difficult to fully identify the site of CSCs accumulation and monitor their distinct biological features, the discovery and development of novel techniques for the isolation and evaluation of CSCs properties can play a significant role in the clinical diagnosis and treatment of cancers. Different approaches have been applied to isolate, characterize, purify, and enrichment of CSCs from various cancers [7, 24]. Immunogenic characteristics of CSCs, particularly as related to their specific cell surface markers such as CD133, ALDH1 and CD44, are the well-known methods which apply for CSCs isolation and characterization in the early diagnosis and targeted therapy of cancer [25], while methods such as sphere formation, clonogenic growth and drug resistance assays lead to functional isolation of CSCs [25].Thus, the development of feasible and applicable models for CSCs enrichment and assessment of its characteristics are warranted. Cell-based assays including in vitro cell culture, multicellular spheroids and organoid culture are valuable tools in obtaining information regarding cellular and molecular mechanisms involved in CSCs biology, and exploring new therapeutic strategies for targeting this sub-population [24, 26].

It is well accepted that micro tumor structures formed as spheroids present the main characteristics of in vivo tumors such as cellular heterogeneity, hypoxia and pH rate, exposure to nutrients and metabolites, cell–cell cohesion and interaction, physical and chemical stresses, and gene expression profiles [27]. Therefore, spheroids with their particular architecture and biology can serve as reliable cancer models in different areas of cancer research, including tumor microenvironment modeling and matrix remodeling as well as migration and invasion, drug discovery and screening, immune interactions and angiogenesis, etc. [26, 28, 29]. There are different systems of spheroid formation, including suspension culture, non-adherent surface, hanging drop and microfluidic methods. Spheroids culture as serum free and non-adherent condition is the most frequent and powerful technique to obtain CSC-like properties and expand CSCs. Moreover, the presence of mathematically testable approaches based on destruction of spheroids structure decreases underestimated results in clinical application and guarantees reproducibility [30, 31]. CRC cell lines have derived from different CRC subtypes and show different phonotypic and molecular properties in in vivo and in vitro studies [32, 33]. For example, despite similar epithelioid phenotypes of HT-29 and Caco-2 cells, HT-29 cells are invasive and metastatic in vivo, but not in vitro, whereas Caco-2 cells are noninvasive [34]. Moreover, the different cell lines can generate spheroids with differences in morphological feature, as well as the capacity of CSCs enrichment and CSC characteristics-related gene expression profiles. To overcome these limitations it is necessary to determine the ideal, most suitable cell line for CSC studies both through evaluation and comparison of their-derived spheroids in terms of stem cell-like characteristics.

Considering the aforementioned, this study aims to gain insight into the biological features of two different types of colonospheres, both derived from two colorectal cancer cell lines including HT-29 and Caco-2 and assess whether these spheres are suitable models for CSC enrichment. Then, we evaluated the CSC-related characteristics of generated spheroids in terms of gene expression profile and morphological features as compared to their parental cells in two-dimensional (2D) culture. Hence, we compared the expression level of genes, as related to the CSCs properties, including genes implicated in stemness, EMT and drug resistance in HT-29 and Caco-2 human colorectal carcinoma (CRC) cell lines grown in spheroids versus 2D cell culture conditions. We applied cost-effective, simple, and time-consuming methods for spheroid formation without using special scaffold or biochemical materials.

Materials and methods

Cell lines and culture conditions

HT-29 and Caco-2 human colon adenocarcinoma cell lines were obtained from the Iranian Biological Resource Center (IBRC, Tehran, Iran) and were tested for spheroid formation. Cells were cultured in Dulbecco's modified Eagle's medium (DMEM)/High glucose medium (Gibco, Germany) supplemented with 10% fetal bovine serum (FBS, Gibco, Germany), 100 U/ml penicillin, 100 µg/ml streptomycin antibiotics (Biowest, France), 1% non-essential amino acid (Gibco, Germany) and 2 mM l-glutamine (Gibco, Germany). Cultures were maintained under standard cell culture conditions in 37 °C, 5% CO2 and 95% humidified incubator and passaged in 70–90% confluence.

Preparation of poly-HEMA coated cell culture dishes

To prepare the 1.2% poly-HEMA (Poly-2-hydroxyethyl methacrylate) solution, 1.2 g poly-HEMA (Sigma, USA) was dissolved in 100 mL 96% ethanol by rotating overnight to dissolve the polymers completely. The solution was centrifuged for 30 min at 400×g to remove unsolved particles and then filtered by 0.22 µm filters. The tissue culture dishes were coated with poly-HEMA solution (1.2 mL per each well of six well plate or 2.5 mL per T25 tissue culture flask) under the biosafety laminar flow hood at room temperature for an overnight to evaporate ethanol completely. Finally, the plates were washed with phosphate buffer saline (PBS) and stored at 37 °C incubator for future use.

Spheroids culture

HT-29 and Caco-2 spheroids were generated by two types of spheroid culture systems; the hanging droplet technique or as free-floating spheroids cultured on poly-HEMA coated dishes. For hanging droplet spheroids, the cells were detached with 0.05% trypsin/EDTA (Gibco, Germany) and after trypsin inactivation, the resulting single cells were washed twice with PBS and pre-warmed serum free media. Dissociated single cells re-suspended as five or ten thousand cells per 25μL of serum free medium (DMEM/F12, Gibco, Germany), which was supplemented with 20 ng/mL epidermal growth factor (EGF, PeproTech, USA), 10 ng/mL of basic fibroblast growth factor (bFGF, PeproTech, USA), 2% B27 supplement (Gibco, Germany), 1% non-essential amino acid, 2 mM l-glutamine and 1% penicillin–streptomycin. About 60 × 25μL cellular drops were dispensed on the inverted lids of the 9 cm petri dishes and the lids carefully set on the dishes, which had been pre-filled with five mL of PBS to assure high humidity and then incubated for 96 h. In the next step, the droplets were washed with 2 mL of media by gentle shaking, and formed spheroids were transferred onto poly-HEMA coated dishes for an additional 6 days. For free-floating spheroids, single-cell suspensions were seeded into poly-HEMA coated dishes at different cell densities (1–5 × 105 cells/mL) in the serum free medium as described above and were cultivated for up to 10 days. The culture media was supplemented with additional 2% B27, bFGF and EGF every other day.

Secondary sphere formation assay

To examine the ability of colonospheres to form the next spheroid generations, spheroids were harvested and dissociated enzymatically with trypsin/EDTA and mechanically by gently pipetting. The resulting single cells, after counting, were re-plated in serum free spheroid medium at the same densities and culture conditions as mentioned above for three sequential passages (P1-P4).

Scanning electron microscopy

Spheroids were collected by centrifugation for 1 min at 100 g and supernatant were carefully aspirated. Then, the collected spheroids were washed with PBS and fixed with 2.5% (v/v) glutaraldehyde in PBS for 30 min at room temperature. After fixation, spheroids were washed once with PBS and dehydrated using ethanol series (50, 65, 75, 85, and 100%). The samples were sputter-coated with gold–palladium and examined in scanning electron microscope (SEM, Seron Technology, AIS-2100, Korea).

Quantitative real-time PCR analysis

The following genes were selected and examined by real-time PCR: stemness genes; KLF4, OCT4, SOX2, NANOG and C-MYC, EMT genes; Vimentin, SNAIL1,TWIST1, N-cadherin, E-cadherin and ZEB1, ABC transporter genes; ABCB1, ABCC1 and ABCG2. Spheroids were harvested a day before structural disintegration (day 10 for HT-29 and day 4 for Caco-2 spheroids). The total RNAs were then extracted from parental and spheroid cells using RNeasy Mini Kit (Qiagen, Germany) according to the manufacturer’s instructions. After measurement of RNA quantity and quality by Nanodrop (ThermoFisher Scientific, USA), cDNA were synthesized with 1 μg of total RNA using cDNA synthesis kit (GeneAll, Korea). Real-time polymerase chain reaction (RT-qPCR) was performed using the SYBR Premix Ex Taq II real-time PCR kit (TaKaRa, Japan) on the Rotor-Gene Q LightCycler (Qiagene, Germany) with the following conditions: 40 two-step amplification cycles of 95 °C for 5 s and 60 °C for 30 s. The relative expression values of target genes were quantified relative to glyceraldehyde-3-phosphate dehydrogenase (GAPDH), as the internal reference gene, by using the 2−ΔCT method. Real-time PCR primers are listed in Table 1.

Table1 Primers used for quantitative RT-PCR

Flow cytometry

Flow cytometry was used to quantify the percentage of CSC markers expression in HT-29 and Caco-2 spheroid cells compared to parental cells. The parental and spheroid cells from each cell line were dissociated with trypsin/EDTA and were washed with PBS twice. The dissociated cells were counted using Trypan blue exclusion assay, and if cell viability was more than 95%, they were evaluated for CSC markers expression. The following antibodies were used: anti-CD44 (1:30), anti-CD133 (1:300), anti-CD166 (1:90) (all from abcam, USA). All antibodies were incubated with 3 × 105 cells for 30 min at 4 °C. Goat anti-rabbit IgG-FITC (1:100) (Santa Cruz biotechnology, USA) was used as secondary antibody. The percentage of CSC marker positive cells were evaluated using an Atuune NxT flow cytometer (Thermo Fisher Scientific, USA) and data were analyzed using FlowJo VX software.

Statistical analysis

Data were reported as the mean ± standard deviation for each group from three or four independent experiments. The diameter of the spheroids was measured using Image J software (n = 25) (IJ 1.46r version, NIH, USA). Student’s t-test was used to compare the differences between the control (parental) and spheroid groups using GraphPad Prism version 8.0 for Windows (GraphPad Software, La Jolla, CA, USA, www.graphpad.com). A p-value < 0.05 was accepted as a statistically significant difference between groups.

Results

HT-29 and Caco-2-derived spheroids exhibit different spheroidization time and morphological characteristics

First, we tested whether HT-29 and Caco-2 cell lines (Fig. 1a, d) are able to generate three-dimensional (3D) spheroids. Spheroid formation in non-adherent condition on poly-HEMA coated dishes at different cell densities was applied for generation of spheroids from HT-29 and Caco-2 adherent cells. Both cell lines could form spheroids, while HT-29 spheroids were unstable and the first signs of disintegration of their structure were observed 3 days after culture (data not shown). Hence, we used the hanging drop method as a well-established technique to spheroid formation from HT-29 cells. As observed from Fig. 1, both cell lines formed 3D spheroids in serum free media using the hanging drop method for HT-29 and free floating culture in non-adherent condition for Caco-2. Phase contrast microscope images from spheroids revealed different growth patterns; HT-29 cells formed spheroids with round-type, smooth surface and compact morphology after 96 h incubation as hanging drops and became more compact and dense during 10 days of culture (Fig. 1b, c). By contrast, Caco-2 cells spontaneously started to form spheroids with round-shape structure, and after cultivation for 3 days; they generated hollow spheroids with bubble-like structures (Fig. 1e, f). Furthermore, the size of Caco-2 spheroids was significantly smaller than HT-29 spheroids after 4 days of incubation (p-value < 0.01). The average diameter of Caco-2 spheroids was 66.9 ± 14.88 µm compared to 82.52 ± 22.56 µm in HT-29 spheroids (Fig. 2).

Fig. 1
figure1

Morphology of HT-29 and Caco-2 parental adherent monolayer cells and their derived spheroids. Representative phase contrast images from cell lines and their derived spheroids. a Parental HT-29 cells grew as an adherent monolayer, b, c HT-29 derived spheroids cultured at nonadherent and serum free condition showed well-round shape and compact morphology. d Caco-2 parental cells as monolayer and, e, f Caco-2 derived spheroids displayed small and round shape morphology

Fig. 2
figure2

Size comparison of HT-29 and Caco-2 derived spheroids. Caco-2 spheroids showed significantly smaller size in compared to HT-29 spheroids. The average diameter of Caco-2 spheroids was 66.9 ± 14.88 µm compared to 82.52 ± 22.56 µm in HT-29 spheroids. Data are presented as mean ± SD as ** = P < 0.01, (n = 25)

However, Caco-2 cells exhibited shorter spheroidization time; 2 days following plating compared to 4 days in HT-29, whereas HT-29 spheroids were more stable and maintained their compact spheroid architecture even up to 12 days of cultivation. In contrast, Caco-2 spheroids remained stable for 5 days. HT-29 spheroids showed greater increase in diameters over time than Caco-2 spheroids. Whereas, the spheroids derived from Caco-2 cells were slowly growing in size and displayed more stable diameter and less variability in size.

In order to assess spheroid morphological parameters in more detail and increase the spatial resolution, micrographs of spheroids were acquired by SEM. Both HT-29 and Caco-2 colonospheres showed continuous and smooth surfaces without any plasma membrane projections or microvilli so that it was hard to distinguish individual cells (Fig. 3a, b). Interestingly, the hollow structures were observed in many of Caco-2 spheroids that were its obvious difference compared to HT-29 spheroids with conglomerated appearance (Fig. 3a–c).

Fig. 3
figure3

Scanning electron microscope (SEM) imaging of HT-29 and Caco-2 derived spheroids. SEM imaging was performed to assess spheroid morphological parameters in more details. Representative SEM images of spheroids shows roundness structure and smooth surfaces of both a Caco-2 and b HT-29 derived spheroids so that it is not possible to distinguish of individual cells. The hollow structures (arrows) in Caco-2 spheroids is its obvious difference compared to HT-29 spheroids with conglomerated appearance. c Representative phase contrast images of hollow core in Caco-2 derived spheroids. Arrows indicate hollow core of Caco-2 spheroids

Enrichment of cancer stem cell-like sub-populations in generated spheroids

To investigate CSC enrichment in formed spheroids as compared to their adherent counterparts, we applied three separate techniques: (1) secondary sphere formation capacity whereby self-renewal properties of CSCs are exploited for maintaining stem-like features of cancer cells; (2) assessment of key stemness genes expression including SOX2, C-MYC, OCT4, KLF4 and NANOG, as master regulators of pluripotency and self-renewal capacity in CSCs; and (3) quantifying the expression of potential CSCs surface markers by flow cytometry.

A secondary sphere formation ability of generated spheroids was investigated by serial passaging. Seeding of single cells from early passage of spheroids showed that spheroids derived from both HT-29 and Caco-2 cells still had the capacity to generate spheroids, even after four sub-cultures (Fig. 4a–h). Thus, these data suggest that spheroids maintain their self-renewal capacity over several passages. Furthermore, RT-qPCR analysis confirmed a definitive upregulation in most examined stem cell-related genes in both HT-29 and Caco-2 spheroids as compared to the 2D monolayers (Fig. 5a, b). HT-29 spheroids displayed the significant upregulation of SOX2, C-MYC, NANOG and OCT4 (p-value < 0.03) stemness genes compared to HT-29 parental cells with highest expression level of NANOG (p-value < 0.03) (Fig. 5a). Whereas, Caco-2 spheroids showed significant high expression of SOX2, C-MYC and KLF4 compared to Caco-2 parental cells with highest expression of SOX2 (p-value < 0.029) (Fig. 5b).

Fig. 4
figure4

Serial spheroid formation capacity of colonospheres. To evaluate the self-renewal properties of generated spheroids, secondary spheroid formation was performed by serial passaging. Cells derived from a–f HT-29 and e–h Caco-2 spheroids generated spheroids for four consequence passage (P1–P4). There were no obvious differences in size and morphology of spheroids in different passages and their derived cells maintain their self-renewal capacity over several passages

Fig. 5
figure5

Increased expression of stemness regulator genes in HT-29 and Caco-2-derived spheroids compared to adherent counterparts. a Quantitative real-time PCR analysis of HT-29 spheroids revealed the high expression of key stemness genes OCT4, SOX2, NANOG and C-MYC compared to HT-29 parental cells with highest expression level of NANOG (p-value < 0.03). b Caco-2 spheroids showed an increased expression of SOX2, C-MYC and KLF4 compared to Caco-2 parental cells with highest expression of SOX2 (p-value < 0.029). Relative gene expression was evaluated following 10 and 4 days of culture for HT-29 and Caco-2 spheroids, respectively. Data are presented as mean ± SD from four independent experiments as * = P < 0.05, ns = not significant

To further corroborate these findings, the expression of putative CSC surface markers CD166, CD44 and CD133 were investigated. Similar to our observations from stemness genes expression analysis, flow cytometry analysis also revealed that the expression of CD166, CD44, CD133 CSC markers were elevated in both spheroid models compared to differentiated 2D cultures which was statistically significant (CD166, CD44, CD133 (p-value < 0.03) in HT-29 spheroids and CD166 (p-value < 0.0008), CD44 (p-value < 0.0004) and CD133 (p-value < 0.03) in Caco-2 spheroids) (Fig. 6a, b) (Table 2).

Fig. 6
figure6

Flow cytometry analysis of CRC-CSC markers expression in HT-29 and Caco-2 spheroids compared to their parental cells. Representative flow cytometry plots confirmed both HT-29 and Caco-2 spheroids show higher expression of CD166, CD44 and CD133 CRC-CSC markers as compared to their parental cells. Upregulation of CSC markers in spheroids as compared to their differentiated counterparts was predominant in Caco-2 spheroids than HT-29 spheroids. Dot plots show the expression of each marker in one representative experiment

Table 2 The expression percentage of CD44, CD166, and CD133 common CRC-CSCs markers in spheroids compared to their parental cells

CSC-like enriched spheroids exhibited high expression of multi-drug resistant (MDR) genes

Resistance against chemotherapeutics is another key feature of CSCs that is mediated by a family of ABC proteins. Accordingly, we assessed the expression pattern of a panel of major multi-drug resistant (MDR) genes; ABCB1, ABCC1 and ABCG2 in generated spheroids compared to parental cells. Specifically, HT-29-derived spheroids exhibited a significant higher expression of both ABCB1 and ABCG2 compared to HT-29 parental cells (p-value = 0.02). The expression of ABCC1 was also increased in HT-29 derived spheroids than their parental cells, although this increase was not significant (p-value = 0.14) (Fig. 7a). In spite of the ABC expression pattern of HT-29 spheroids, Caco-2 spheroids did not show any significant differences in expression patterns of ABCB1, ABCC1 and ABCG2 compared to Caco-2 parental cells (p-value > 0.99) (Fig. 7b).

Fig. 7
figure7

The expression profile of drug resistance genes in HT-29 and Caco-2 derived spheroids compared to their adherent counterparts. The comparative real-time PCR analysis of ABC transporter genes; ABCB1, ABCC1 and ABCG2 in generated spheroids and their parental cells showed a the higher expression of ABCB1 and ABCG2 in HT-29 derived spheroids than HT-29 parental cells, the expression of ABCC1 was also increased, although this increase was not significant (p-value = 0.14), b whereas there was not observed significant differences between Caco-2 spheroids and their parental cells. Data are presented as mean ± SD from four independent experiments as * = P < 0.05, ns = not significant

CRC spheroids were driven toward the EMT compared to 2D adherent cells

To characterize the EMT properties in generated spheroids, we next compared the expression profile of EMT inducer genes including TWIST1, SNAIL1, ZEB1, Vimentin, E-cadherin and N-cadherin in both spheroids and parental cells. The expression of EMT-promoting genes; ZEB1, TWIST1 and SNAIL1 were significantly up-regulated in HT-29 spheroids compared to 2D monolayer cultures (p-value = 0.03). Unexpectedly, the expression of E-cadherin was up-regulated in HT-29 spheroids (Fig. 8a). A significant up-regulation of SNAIL1 and Vimentin were also observed in Caco-2 spheroids than their parental cells (p-value < 0.05). Although ZEB1 showed a higher expression in Caco-2 spheres than 2D counterparts, this upregulation was not statistically significant (p-value > 0.05) (Fig. 8b). On the contrary, the expression of N-cadherin was down-regulated in both HT-29 and Caco-2 spheroids compared to parental cells (Fig. 8).

Fig. 8
figure8

The expression profile of EMT regulator genes in HT-29 and Caco-2 derived spheroids compared to adherent counterparts. Graphs showing relative expression of genes involved in EMT; Vimentin, SNAIL1,TWIST1, N-cadherin, E-cadherin and ZEB1 in generated spheroids. a The expression of ZEB1, TWIST1, SNAIL1 and E-cadherin was significantly higher in HT-29 spheroids than parental cells. b Caco-2 spheroids showed higher expression of SNAIL1, Vimentin and E-cadherin compared to parental cells. Data are presented as *P < 0.05, ns = not significant

Discussion

To overcome the treatment failure due to the cancer recurrence and metastasis related to CSCs biological features and their interference with intrinsic drug resistance mechanisms, design of appropriate preclinical models is one of the most pressing issues to test targeted therapies [35, 36]. Identification of the ideal tools to clarify CSC biology is still proceeding, and great efforts have been paid to improve the isolation and treatment modalities in CSCs research [37]. Spheres culture in which CSCs are trapped and enriched, has been recommended as an extremely effectual CSC isolation method for cancer cell lines and solid tumors [37,38,39]. Such an anchorage independent sphere forming system under non-adherent, nutritional deficiency and serum free conditions prevents the differentiation of stem-like cells and leads to eliminate non-CSCs cells through apoptosis [40,41,42]. The superiority of this method is based entirely on the intrinsic properties of CSCs and leads to enriching the CSC subpopulations regardless of the expression patterns of cell surface markers [43, 44]. Moreover, spheroid cultures offer an ideal platform for routine toxicity and drug efficacy testing to determine safe exposure doses in designed cellular models [45,46,47,48]. In addition, previous studies have shown that different cancer cell lines form spheres with distinctive morphological and functional features based on sphere-formation method [49,50,51]. Hence, the status of morphological characteristics, CSC properties and genes expression profile of EMT and drug resistance is important in selecting appropriate model.

In this regard, in the current study, the forced floating using low attachment plates and hanging drop methods, as more applicable and feasible methods were used to generate CSC-enriched spheroids from Caco-2 and HT-29 cell lines, respectively. We chose these two cell lines because of their widespread use in research and drug discovery. The Caco-2 cell line is widely used in pre-clinical investigations, drug permeability and solubility studies and nanoparticle translocation. The cell line is accepted by the U.S. Food and Drug Administration (FDA) to support new drug applications. In addition both Caco-2 and HT-29 cells are widely applied in the studies of intestinal transport and prediction of bioavailability [52,53,54].

To generate spheroids, serum-free condition was applied to prevent the differentiation of stem-like cells and elimination of non-CSCs population using suspension culturing in low attachment plates [55,56,57,58]. Although both cell lines showed capacity to form spheroids, the HT-29 cells generated loose and disintegrating spheres in poly-HEMA plates, whereas, they formed compact spheroids when they were cultured as hanging drops. The comparison of morphological and molecular characteristics of Caco-2 and HT-29 derived spheroids has been summarized in Table 3.

Table 3 The comparison of morphological and molecular characteristics of Caco-2 and HT-29-derived spheroids

Generation of dense and practical spheroids strongly depend on cellular interactions through the gap junctions between single cells [59, 60]. Hence, hanging drop method was selected to generate HT-29 spheroids with compact structure due to its advantages in improvement of cells accumulation and adhesion potential with least damage to the spheres through gravitational force. Our observation was in line with the previous study in rat pancreatic beta cells which hanging drop method enhanced connexin protein accumulation and generation of tight spheres [60]. Moreover, murine and human brain tumor cell lines showed more consistent structures in brain tumor spheroids with applying of hanging drop method compared to spinner culture [61]. Therefore, it seems that different cell lines can be compatible with different spheroid formation methods, as in our study as well; hanging drop and low attachment poly-HEMA coated plates were suitable, rapid and time efficient for spheroid formation from HT-29 and Caco-2 cells, respectively. Some limitations of hanging drop including possible shattering of spheroids due to mechanical shock in transferring of spheroids to the conventional culture plates and high spheroid-diameter variation compared to low attachment culture can lead to changes in initiating characteristics in HT-29 spheroids. Whereas, forced floating method using low attachment culture with more reproducibility than hanging drop could be the most suitable method for high-throughput screening. Therefore, appropriate cells and spheroid formation methods must be accurately chosen based on aim of study and tumor type.

Although both spheroids derived from HT-29 and Caco-2 cells exhibited similar roundness and smooth surfaces, the light and electron microscopic examination revealed some differences. The Caco-2 spheroids presented hollow core structure as a distinct morphological feature which has been reported before by others [62, 63]. Samy et al. [64], also found that after 5 days culturing in Matrigel, the Caco-2 cells self-organized into intestinal epithelial-like cells as spheroids with a confluent monolayer surrounding a hollow lumen. This hollow structure in Caco-2 cells is account to the functional polarization through E-cadherin-dependent cell–cell adhesion [63, 65]. Since the hollow core is the common feature of the Caco-2 spheres formed by different methods [62, 63], it can infer that this feature is cell line dependent and may not be related to the sphere formation methods.

The Caco-2 spheroids features including the expression of drug transporters similar to human intestinal and also their ability to recreate the spatial organization similar to intestinal epithelial cells have been made them as an improved platform in drug screening [64, 66, 67]. However, Caco-2 spheroids with round shape and hollow lumenized morphology have widely employed as a reproducible in vitro model for studying intestinal features and functions as well as intestinal drug metabolism and uptake [64, 68], they are not compatible with anti-cancer drug researches which are based on evaluation of the spheroid size reduction and drug penetration into inner layers. The roundness and smooth surface of spheroids which hide individual cells, is ascribed to high extracellular microenvironment (ECM) secretion and strong cell–cell adhesion, and could help analysis of drugs efficacy more accurately [49, 69]. Accordingly, HT-29 spheroids with compact round shape may be more suitable platforms for anti-cancer drug testing in CRC than Caco-2 spheres. In general, in order to create more practical and functional CRC spheroid models, it is essential to characterize the gene expression alterations, invasion, and drug transporters in spheroids to standardize them based on research requirements [61, 64, 70,71,72]. Hence, CRC spheroid models were further assessed to determine their potential in enrichment of CSCs-related characteristics, including the cell surface marker patterns, serial sphere formation capability, and gene expression profiles of multipotency, EMT and drug resistance transporters compared to the parental cells. Our findings showed that the expression levels of stemness genes could be affected by CRC spheroid culture, and both spheroids displayed similar high expression levels of pluripotent stem cell genes (KLF4, OCT4 and C-MYC) when compared to their parental counterparts, while drastic higher expression level of SOX-2 and NANOG was found in Caco-2 and HT-29 spheres, respectively. It has been also documented that the overexpression of NANOG as an oncogene along with OCT4 is a prominent characteristic of CSCs and is associated with EMT transition of CSCs and drives tumor progression and poor prognosis in patients with breast and colorectal cancer [73,74,75,76,77,78]. Furthermore, many studies have proved that SOX-2 overexpression is correlated with self-renewal capacity, a poorly differentiated-aggressive phenotype and clinicopathological characteristics of CRC patients [79,80,81]. Therefore, high expression levels of stemness genes, specially, SOX2 and NANOG that were observed in our CRC spheroids could be served as an indicator of self-renewal potential.

We extended our study by assessing the expression of CSC surface markers in CRC spheroids compared to the parental cells. Our findings independently corroborated the expression profiles of stem cell-related genes which evidenced by enriching the CD166, CD44, CD133 positive populations of CSCs in CRC spheroids. This was in line with other reports in various cancers, where non-adherent spheroid cultures possessed more characteristics of CSCs [44, 82,83,84,85]. CD44 as a transmembrane adhesion receptor for hyaluronic acid, binds to the ECM and plays an important role in matrix adhesion in response to a cellular microenvironment and is implicated in enhancing cellular aggregation [86, 87]. CD166 and CD133 are also cell adhesion molecules which along with CD44 increase the clonal formation capacity in CRC and are related to CSC properties [85, 88]. The cell adhesion proteins are participate in directing cell polarity and asymmetric stem cell division in development [89]. Although, there are limited studies on Caco-2 spheroids, we conclude that the higher expression of CD44, CD133 and CD166 as robust CSC markers in cells derived from Caco-2 spheroid might be related to specific cellular junctions in these spheroids, which provide signals via molecular crosstalk between these cells for maintenance of CSC phenotype in Caco-2 spheroids. In addition, due to the absence of CSCs in necrotic core of spheroids [90], we assume that many of cells in HT-29 spheroids that were negative for expression of CSC markers may belong to this layer, whereas, in case of Caco-2 spheroids, there were hollow core instead of necrotic layer. Hence, this feature might account for predominant expression of CD44, CD166 and CD133 CSC markers observed in Caco-2 spheroid-derived cells as compared to cells derived from HT-29 spheroid.

Moreover, serial sphere formation which has been applied as an appropriate platform for long-term expansion of cells with self-renewal capacity and imitates the tumor heterogeneity [24], was maintained in CRC spheroids cells during the long-term cultures. Thus, these results further advocated the efficiency of the serum free and non-adherent condition in enrichment of CSCs. The complexity of cross-talks between stem cell–related genes and EMT are still unclear and need to be more clarified. To determine the association of the EMT genes expression level with the enriched CSC nature in spheroids, we compared the expression of TWIST1, SNAIL1, ZEB1, Vimentin, E-cadherin and N-cadherin in spheroids than parental cells. Our results showed that in spite of up-regulation of TWIST1, SNAIL1, ZEB1 and Vimentin, unexpectedly E-cadherin was up-regulated and N-cadherin was down-regulated in spheroids which are in contrast to the results of EMT process from other similar studies [91,92,93,94]. Several reports suggested the strong correlation of E-cadherin down-regulation and N-cadherin up-regulation as the main hallmark of EMT [76, 91,92,93,94,95]. It can be postulated that the expression level of EMT genes, might be varied widely due to the absence of definite correlation between the gene transcripts levels and their corresponding proteins and do not necessarily reflect their protein levels in CSCs [96,97,98,99,100]. In addition, Jolly, Jia et al. displayed that the partial EMT is associated with stemness [101]. Hence, deciphering the coupling of EMT and stemness needs to be further investigated.

The increased expression of ATP-binding cassette (ABC) transporter genes such as ABCB1, ABCC1, and ABCG2, as other CSC-related characteristic is involved in regulation of self-renewal and multidrug resistance in ovarian and colon cancer cell lines [102,103,104,105,106,107]. In agreement with Collura et al. [108], our results also demonstrated significant increase in the expression of ABC B1 and G2 genes in HT-29 spheres compared to monolayers and Caco-2 spheres which further verified the CSCs enrichment.

Although the results of our study present robust and reproducible spheroid models for CSC research, these findings should be considered in the light of some limitations, including evaluation of the spheroids of only two CRC cell lines and also performing additional functional analysis on metastatic capacity, ECM remodeling, chemoresistancy and dormancy. This information would provide new insight into the efficiency of the CRC spheroid model in CSC research.

Conclusions

In summary, we present here the first study demonstrating CSC-enrichment in Caco-2 cells without using special scaffold or biochemical materials. Despite the hollow core structure and no increased expression of ABC transporter genes in Caco-2 spheroids, our findings indicated that spheroids culture from both HT-29 and Caco-2 cell lines is capable to enhance the expression of genes involved in CSCs regulation. It enables us to recreate the complexity of in vivo tumors including presence of CSCs subpopulation, resistance to chemotherapeutics and invasion potential and should be considered as more realistic CRC in vitro models for further investigation in CSC research.

Availability of data and materials

The analyzed data during the current study are available from the corresponding author on reasonable request.

Abbreviations

2D:

Two-dimensional

3D:

Three-dimensional

ABC:

ATP-binding cassette

ABCB1:

ATP Binding Cassette Subfamily B Member 1

ABCC1:

ATP Binding Cassette Subfamily C Member 1

ABCG2:

ATP Binding Cassette Subfamily G Member 2

ALDH1:

Aldehyde dehydrogenase 1

bFGF:

Basic Fibroblast Growth Factor

C-MYC:

C-MYC proto-oncogene

CRC:

Colorectal Cancer

CSCs:

Cancer Stem Cells

DMEM:

Dulbecco's modified Eagle's medium

E-cadherin:

Epithelial Cadherin

EGF:

Epidermal Growth Factor

EMT:

Epithelial-to-Mesenchymal Transition

FBS:

Fetal bovine serum

FDA:

Food and Drug Administration

GAPDH:

Glyceraldehyde-3-phosphate dehydrogenase

KLF4:

Kruppel-Like Factor 4

MDR:

Major Multi-drug Resistant

NANOG:

Nanog homeobox

N-cadherin:

Neural Cadherin

OCT4:

Octamer-binding transcription factor 4

PBS:

Phosphate buffer saline

poly-HEMA:

Poly-2-hydroxyethyl methacrylate

RT-qPCR:

Real-Time Polymerase Chain Reaction

SEM:

Scanning Electron Microscopy

SNAIL1:

Snail family zinc finger 1

SOX2:

SRY-Box Transcription Factor 2

TWIST1:

Twist family bHLH transcription factor 1

ZEB1:

Zinc finger E-box homeodomain 1

References

  1. 1.

    Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70(1):7–30.

    PubMed  Article  PubMed Central  Google Scholar 

  2. 2.

    Neo JH, et al. Changes in the renin angiotensin system during the development of colorectal cancer liver metastases. BMC Cancer. 2010;10(1):134.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  3. 3.

    Dhawan P, et al. Cancer stem cells and colorectal cancer: an overview. Curr Top Med Chem. 2011;11(13):1592–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  4. 4.

    Potten CS, Loeffler M. Stem cells: attributes, cycles, spirals, pitfalls and uncertainties. Lessons for and from the crypt. Development. 1990;110(4):1001–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Munro MJ, et al. Cancer stem cells in colorectal cancer: a review. J Clin Pathol. 2018;71(2):110–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  6. 6.

    Tai M-H, et al. Oct4 expression in adult human stem cells: evidence in support of the stem cell theory of carcinogenesis. Carcinogenesis. 2005;26(2):495–502.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  7. 7.

    Franco SS, et al. In vitro models of cancer stem cells and clinical applications. BMC Cancer. 2016;16(2):738.

    Article  CAS  Google Scholar 

  8. 8.

    Cho RW, Clarke MF. Recent advances in cancer stem cells. Curr Opin Genet Dev. 2008;18(1):48–53.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–74.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Clarke MF, Becker MW. Stem cells: the real culprits in cancer? Sci Am. 2006;295(1):52–9.

    PubMed  Article  PubMed Central  Google Scholar 

  11. 11.

    Alison MR, et al. Cancer stem cells: in the line of fire. Cancer Treat Rev. 2012;38(6):589–98.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  12. 12.

    Sell S. Cancer stem cells and differentiation therapy. Tumor Biol. 2006;27(2):59–70.

    Article  Google Scholar 

  13. 13.

    Dana H, Mahmoodi G, Marmari V. An overview of cancer stem cell. J Stem Cell Res Ther. 2017;1(4):169–74.

    Google Scholar 

  14. 14.

    Yoo YD, et al. Molecular characteristics of cancer stem-like cells derived from human breast cancer cells. Anticancer Res. 2013;33(3):763–77.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Lin EH, et al. Elevated circulating endothelial progenitor marker CD133 messenger RNA levels predict colon cancer recurrence. Cancer Interdiscipl Int J Am Cancer Soc. 2007;110(3):534–42.

    CAS  Google Scholar 

  16. 16.

    Liu G, et al. Analysis of gene expression and chemoresistance of CD133+ cancer stem cells in glioblastoma. Mol Cancer. 2006;5(1):67.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  17. 17.

    Hermann PC, et al. Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell Stem Cell. 2007;1(3):313–23.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  18. 18.

    Mimeault M, Batra SK. New advances on critical implications of tumor-and metastasis-initiating cells in cancer progression, treatment resistance and disease recurrence. Histol Histopathol. 2010;25(8):1057.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Zhou B-BS, et al. Tumour-initiating cells: challenges and opportunities for anticancer drug discovery. Nat Rev Drug Discov. 2009;8(10):806–23.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  20. 20.

    Kawasaki BT, et al. Targeting cancer stem cells with phytochemicals. Mol Intervent. 2008;8(4):174.

    CAS  Article  Google Scholar 

  21. 21.

    Fong D, Chan MM. Targeting cancer stem cells with phytochemicals: inhibition of the rat C6 glioma side population by curcumin. In: Stem cells and cancer stem cells, vol. 1. Springer; 2012. p. 61–8.

    Chapter  Google Scholar 

  22. 22.

    Borovski T, et al. Cancer stem cell niche: the place to be. Can Res. 2011;71(3):634–9.

    CAS  Article  Google Scholar 

  23. 23.

    de Sousa EMF, et al. Targeting Wnt signaling in colon cancer stem cells. Clin Cancer Res. 2011;17(4):647–53.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  24. 24.

    Fang Y, Eglen RM. Three-dimensional cell cultures in drug discovery and development. Slas Discov Adv Life Sci R&D. 2017;22(5):456–72.

    CAS  Google Scholar 

  25. 25.

    Yoon SK. The biology of cancer stem cells and its clinical implication in hepatocellular carcinoma. Gut Liver. 2012;6(1):29.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Antoni D, et al. Three-dimensional cell culture: a breakthrough in vivo. Int J Mol Sci. 2015;16(3):5517–27.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Lin RZ, Chang HY. Recent advances in three-dimensional multicellular spheroid culture for biomedical research. Biotechnol J Healthcare Nutr Technol. 2008;3(9–10):1172–84.

    CAS  Google Scholar 

  28. 28.

    Kimlin LC, Casagrande G, Virador VM. In vitro three-dimensional (3D) models in cancer research: an update. Mol Carcinog. 2013;52(3):167–82.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  29. 29.

    Amaral RL, et al. Comparative analysis of 3D bladder tumor spheroids obtained by forced floating and hanging drop methods for drug screening. Front Physiol. 2017;8:605.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Bielecka ZF, et al. Three-dimensional cell culture model utilization in cancer stem cell research. Biol Rev. 2017;92(3):1505–20.

    PubMed  Article  Google Scholar 

  31. 31.

    Ishiguro T, et al. Tumor-derived spheroids: relevance to cancer stem cells and clinical applications. Cancer Sci. 2017;108(3):283–9.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  32. 32.

    Ronen J, Hayat S, Akalin A. Evaluation of colorectal cancer subtypes and cell lines using deep learning. Life Sci Alliance. 2019;2(6):e201900517.

    PubMed  PubMed Central  Article  Google Scholar 

  33. 33.

    Berg KC, et al. Multi-omics of 34 colorectal cancer cell lines-a resource for biomedical studies. Mol Cancer. 2017;16(1):1–16.

    CAS  Article  Google Scholar 

  34. 34.

    De Both N, et al. A comparative evaluation of various invasion assays testing colon carcinoma cell lines. Br J Cancer. 1999;81(6):934–41.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Woodward WA, et al. On mammary stem cells. J Cell Sci. 2005;118(16):3585–94.

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Rosen JM, Jordan CTJS. The increasing complexity of the cancer stem cell paradigm. Science. 2009;324(5935):1670–3.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  37. 37.

    Zhang J, et al. Enrichment and characterization of cancer stem-like cells in ultra-low concentration of serum and non-adhesive culture system. Am J Transl Res. 2018;10(5):1552.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Hueng D-Y, et al. Isolation and characterization of tumor stem-like cells from human meningiomas. J Neuro-Oncol. 2011;104(1):45–53.

    CAS  Article  Google Scholar 

  39. 39.

    Zhong Y, et al. Spheres derived from the human SK-RC-42 renal cell carcinoma cell line are enriched in cancer stem cells. Cancer Lett. 2010;299(2):150–60.

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Pastrana E, Silva-Vargas V, Doetsch F. Eyes wide open: a critical review of sphere-formation as an assay for stem cells. Cell Stem Cell. 2011;8(5):486–98.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Ottaviano L, et al. Wide open: a critical review of sphere-formation as an assay for stem cells. Cell stem cell 8: 486-498. Cancer Stem Cells Hum Osteosarcoma. 2016;32:1408–19.

    Google Scholar 

  42. 42.

    Ma X-L, et al. Sphere-forming culture enriches liver cancer stem cells and reveals Stearoyl-CoA desaturase 1 as a potential therapeutic target. BMC Cancer. 2019;19(1):760.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  43. 43.

    Liu Z, et al. Hepatitis B virus PreS1 facilitates hepatocellular carcinoma development by promoting appearance and self-renewal of liver cancer stem cells. Cancer Lett. 2017;400:149–60.

    CAS  PubMed  Article  Google Scholar 

  44. 44.

    Chen Y, et al. CD133+ EpCAM+ phenotype possesses more characteristics of tumor initiating cells in hepatocellular carcinoma Huh7 Cells. Int J Biol Sci. 2012;8(7):992.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. 45.

    Godoy P, et al. Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME. Arch Toxicol. 2013;87(8):1315–530.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Berry DP, et al. Human wound contraction: collagen organization, fibroblasts, and myofibroblasts. Plastic Reconstruct Surg. 1998;102(1):124–31 (discussion 132).

    CAS  Article  Google Scholar 

  47. 47.

    Grinnell F. Fibroblast biology in three-dimensional collagen matrices. Trends Cell Biol. 2003;13(5):264–9.

    CAS  PubMed  Article  Google Scholar 

  48. 48.

    Boudreau N, Werb Z, Bissell MJ. Suppression of apoptosis by basement membrane requires three-dimensional tissue organization and withdrawal from the cell cycle. Proc Natl Acad Sci. 1996;93(8):3509–13.

    CAS  PubMed  Article  Google Scholar 

  49. 49.

    Kenny PA, et al. The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression. Mol Oncol. 2007;1(1):84–96.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. 50.

    Bissell M, Kenny P, Radisky DC. Microenvironmental regulators of tissue structure and function also regulate tumor induction and progression: the role of extracellular matrix and its degrading enzymes. In: Cold Spring Harbor symposia on quantitative biology. Cold Spring Harbor Laboratory Press; 2005.

    Google Scholar 

  51. 51.

    Kenny P. Three-dimensional extracellular matrix culture models of EGFR signalling and drug response. Biochem Soc Trans. 2007;35:665–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  52. 52.

    Larregieu CA, Benet LZ. Drug discovery and regulatory considerations for improving in silico and in vitro predictions that use Caco-2 as a surrogate for human intestinal permeability measurements. AAPS J. 2013;15(2):483–97.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. 53.

    Jochems PG, et al. Evaluating human intestinal cell lines for studying dietary protein absorption. Nutrients. 2018;10(3):322.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  54. 54.

    Awortwe C, Fasinu P, Rosenkranz B. Application of Caco-2 cell line in herb-drug interaction studies: current approaches and challenges. J Pharma Pharma Sci. 2014;17(1):1.

    Article  Google Scholar 

  55. 55.

    Lee J, et al. Tumor stem cells derived from glioblastomas cultured in bFGF and EGF more closely mirror the phenotype and genotype of primary tumors than do serum-cultured cell lines. Cancer Cell. 2006;9(5):391–403.

    CAS  PubMed  Article  Google Scholar 

  56. 56.

    Dontu G, et al. In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells. Genes Dev. 2003;17(10):1253–70.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  57. 57.

    Dotse E, Bian Y. Isolation of colorectal cancer stem-like cells. Cytotechnology. 2016;68(4):609–19.

    CAS  PubMed  Article  Google Scholar 

  58. 58.

    Ibiyeye KM, Zuki ABZ. Cockle shell-derived aragonite CaCO3 nanoparticles for co-delivery of doxorubicin and thymoquinone eliminates cancer stem cells. Int J Mol Sci. 2020;21(5):1900.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  59. 59.

    Bavamian S, et al. Islet-cell-to-cell communication as basis for normal insulin secretion. Diabetes Obesity Metab. 2007;9:118–32.

    CAS  Article  Google Scholar 

  60. 60.

    Kim H, et al. Optimal formation of genetically modified and functional pancreatic islet spheroids by using hanging-drop strategy. In: Transplantation Proceedings. Elsevier; 2013.

    Google Scholar 

  61. 61.

    Del Duca D, Werbowetski T, Del Maestro RF. Spheroid preparation from hanging drops: characterization of a model of brain tumor invasion. J Neuro-Oncol. 2004;67(3):295–303.

    Article  Google Scholar 

  62. 62.

    Kataoka K, Rikitake Y, Ayabe Y. Expression pattern of Dkk-3, a secreted Wnt pathway inhibitor, in mouse intestinal tissue and three-dimensional cultured Caco-2 spheroids. J Stem Cells Regener Med. 2015;11(2):48.

    Article  Google Scholar 

  63. 63.

    Elamin E, et al. Effects of ethanol and acetaldehyde on tight junction integrity: in vitro study in a three dimensional intestinal epithelial cell culture model. PLoS ONE. 2012;7(4):e35008.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. 64.

    Samy KE, et al. Human intestinal spheroids cultured using Sacrificial Micromolding as a model system for studying drug transport. Sci Rep. 2019;9(1):1–12.

    CAS  Article  Google Scholar 

  65. 65.

    Schreider C, et al. Integrin-mediated functional polarization of Caco-2 cells through E-cadherin—actin complexes. J Cell Sci. 2002;115(3):543–52.

    CAS  PubMed  PubMed Central  Google Scholar 

  66. 66.

    Maubon N, et al. Analysis of drug transporter expression in human intestinal Caco-2 cells by real-time PCR. Fundam Clin Pharmacol. 2007;21(6):659–63.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  67. 67.

    Englund G, et al. Regional levels of drug transporters along the human intestinal tract: co-expression of ABC and SLC transporters and comparison with Caco-2 cells. Eur J Pharma Sci. 2006;29(3–4):269–77.

    CAS  Article  Google Scholar 

  68. 68.

    Cerchiari A, et al. Formation of spatially and geometrically controlled three-dimensional tissues in soft gels by sacrificial micromolding. Tissue Eng Part C Methods. 2015;21(6):541–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  69. 69.

    Lin R-Z, et al. Dynamic analysis of hepatoma spheroid formation: roles of E-cadherin and β1-integrin. Cell Tissue Res. 2006;324(3):411–22.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  70. 70.

    Sei Y, et al. Engineering living systems on chips: from cells to human on chips. Microfluidics Nanofluidics. 2014;16(5):907–20.

    CAS  Article  Google Scholar 

  71. 71.

    Kim HJ, Ingber DE. Gut-on-a-Chip microenvironment induces human intestinal cells to undergo villus differentiation. Integr Biol. 2013;5(9):1130–40.

    CAS  Article  Google Scholar 

  72. 72.

    Short SP, Costacurta PW, Williams CS. Using 3D organoid cultures to model intestinal physiology and colorectal cancer. Curr Colorectal Cancer Rep. 2017;13(3):183–91.

    PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Wang D, et al. Oct-4 and Nanog promote the epithelial-mesenchymal transition of breast cancer stem cells and are associated with poor prognosis in breast cancer patients. Oncotarget. 2014;5(21):10803.

    PubMed  PubMed Central  Article  Google Scholar 

  74. 74.

    Meng H-M, et al. Over-expression of Nanog predicts tumor progression and poor prognosis in colorectal cancer. Cancer Biol Ther. 2010;9(4):295–302.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  75. 75.

    Wen J, et al. Oct4 and Nanog expression is associated with early stages of pancreatic carcinogenesis. Pancreas. 2010;39(5):622–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  76. 76.

    Chiou S-H, et al. Coexpression of Oct4 and Nanog enhances malignancy in lung adenocarcinoma by inducing cancer stem cell–like properties and epithelial–mesenchymal transdifferentiation. Cancer Res. 2010;70(24):10433–44.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  77. 77.

    Gong S, et al. Regulation of NANOG in cancer cells. Mol Carcinogenesis. 2015;54(9):679–87.

    CAS  Article  Google Scholar 

  78. 78.

    Ibrahim EE, et al. Embryonic NANOG activity defines colorectal cancer stem cells and modulates through AP1-and TCF-dependent mechanisms. Stem Cells. 2012;30(10):2076–87.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  79. 79.

    Talebi A, Kianersi K, Beiraghdar M. Comparison of gene expression of SOX2 and OCT4 in normal tissue, polyps, and colon adenocarcinoma using immunohistochemical staining. Adv Biomed Res. 2015;4:234.

    PubMed  PubMed Central  Google Scholar 

  80. 80.

    Ben-Porath I, et al. An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors. Nat Genet. 2008;40(5):499.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  81. 81.

    Chen Y, et al. The molecular mechanism governing the oncogenic potential of SOX2 in breast cancer. J Biol Chem. 2008;283(26):17969–78.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  82. 82.

    Ma S, et al. Identification and characterization of tumorigenic liver cancer stem/progenitor cells. Gastroenterology. 2007;132(7):2542–56.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  83. 83.

    Singh SK, et al. Identification of a cancer stem cell in human brain tumors. Cancer Res. 2003;63(18):5821–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  84. 84.

    Eramo A, et al. Identification and expansion of the tumorigenic lung cancer stem cell population. Cell Death Diff. 2008;15(3):504–14.

    CAS  Article  Google Scholar 

  85. 85.

    Du L, et al. CD44 is of functional importance for colorectal cancer stem cells. Clin Cancer Res. 2008;14(21):6751–60.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  86. 86.

    Wang L, et al. The role of CD44 and cancer stem cells. In: cancer stem cells. Springer; 2018. p. 31–42.

    Chapter  Google Scholar 

  87. 87.

    Thapa R, Wilson GD. The importance of CD44 as a stem cell biomarker and therapeutic target in cancer. Stem Cells Int. 2016. https://doi.org/10.1155/2016/2087204.

    Article  PubMed  PubMed Central  Google Scholar 

  88. 88.

    Zhou Y, et al. Cancer stem cells in progression of colorectal cancer. Oncotarget. 2018;9(70):33403.

    PubMed  Article  PubMed Central  Google Scholar 

  89. 89.

    Picco V, Hudson C, Yasuo H. Ephrin-Eph signalling drives the asymmetric division of notochord/neural precursors in Ciona embryos. Development. 2007;134(8):1491–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  90. 90.

    Pinto B, et al. Three-dimensional spheroids as in vitro preclinical models for cancer research. Pharmaceutics. 2020;12(12):1186.

    PubMed Central  Article  Google Scholar 

  91. 91.

    Myong N-H. Loss of E-cadherin and acquisition of vimentin in epithelial-mesenchymal transition are noble indicators of uterine cervix cancer progression. Korean J Pathol. 2012;46(4):341.

    PubMed  PubMed Central  Article  Google Scholar 

  92. 92.

    Calvet CY, André FM, Mir LM. The culture of cancer cell lines as tumorspheres does not systematically result in cancer stem cell enrichment. PLoS ONE. 2014;9(2):e89644.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  93. 93.

    Zhou J, et al. Expression of E-cadherin and vimentin in oral squamous cell carcinoma. Int J Clin Exp Pathol. 2015;8(3):3150.

    PubMed  PubMed Central  Google Scholar 

  94. 94.

    Vigenswari R. Expression of E-cadherin and vimentin in oral squamous cell carcinoma and its correlation with grading and nodal metastasis. Coimbatore: Coimbatore Medical College; 2019.

    Google Scholar 

  95. 95.

    Fontana F, et al. Epithelial-to-mesenchymal transition markers and CD44 isoforms are differently expressed in 2D and 3D cell cultures of prostate cancer cells. Cells. 2019;8(2):143.

    CAS  PubMed Central  Article  Google Scholar 

  96. 96.

    Carlson MW, Iyer VR, Marcotte EM. Quantitative gene expression assessment identifies appropriate cell line models for individual cervical cancer pathways. BMC Genomics. 2007;8(1):117.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  97. 97.

    Gry M, et al. Correlations between RNA and protein expression profiles in 23 human cell lines. BMC Genomics. 2009;10(1):1–14.

    Article  CAS  Google Scholar 

  98. 98.

    Asplund A, et al. Expression profiling of microdissected cell populations selected from basal cells in normal epidermis and basal cell carcinoma. Br J Dermatol. 2008;158(3):527–38.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  99. 99.

    Dhanasekaran SM, et al. Delineation of prognostic biomarkers in prostate cancer. Nature. 2001;412(6849):822–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  100. 100.

    Mousses S, et al. Clinical validation of candidate genes associated with prostate cancer progression in the CWR22 model system using tissue microarrays. Can Res. 2002;62(5):1256–60.

    CAS  Google Scholar 

  101. 101.

    Jolly MK, et al. Coupling the modules of EMT and stemness: a tunable ‘stemness window’model. Oncotarget. 2015;6(28):25161.

    PubMed  PubMed Central  Article  Google Scholar 

  102. 102.

    Raaijmakers M. ATP-binding-cassette transporters in hematopoietic stem cells and their utility as therapeutical targets in acute and chronic myeloid leukemia. Leukemia. 2007;21(10):2094–102.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  103. 103.

    Dean M, Hamon Y, Chimini G. The human ATP-binding cassette (ABC) transporter superfamily. J Lipid Res. 2001;42(7):1007–17.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  104. 104.

    Wilkens S. Structure and mechanism of ABC transporters. F1000prime Rep. 2015;7:14.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  105. 105.

    Januchowski R, et al. Microarray-based detection and expression analysis of ABC and SLC transporters in drug-resistant ovarian cancer cell lines. Biomed Pharmacother. 2013;67(3):240–5.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  106. 106.

    Januchowski R, et al. Microarray-based detection and expression analysis of new genes associated with drug resistance in ovarian cancer cell lines. Oncotarget. 2017;8(30):49944.

    PubMed  PubMed Central  Article  Google Scholar 

  107. 107.

    García-González X, et al. Variants in CDA and ABCB1 are predictors of capecitabine-related adverse reactions in colorectal cancer. Oncotarget. 2015;6(8):6422.

    PubMed  PubMed Central  Article  Google Scholar 

  108. 108.

    Collura A, et al. Extensive characterization of sphere models established from colorectal cancer cell lines. Cell Mol Life Sci. 2013;70(4):729–42.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

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Acknowledgements

This study was conducted as part of a PhD thesis and was supported by a grant from the Oncopathology Research Center (OPRC), Iran University of Medical Sciences (IUMS) (Grant Number #29059).

Funding

The funding source is a college institute (IUMS) and has sponsored the project financially and approved (Grant Number #29059).

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Authors

Contributions

ZM and RG designed and supervised the project, and approved all parts of the manuscript. FA designed and supervised the project. EG and MN planned and performed the experiments, analyzed and interpreted the data, and wrote the manuscript. FKB critically revised and edited the manuscript in native English. ESM performed the flow cytometry. MB analyzed the flow cytometry data. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Roya Ghods or Zahra Madjd.

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Ethics approval and consent to participate

All procedures performed in this study were in line with the ethical standards of the institution at which this study was conducted.

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All listed authors discussed results and commented on the submitted manuscript.

Competing interests

The authors declare no conflict of interests.

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First Corresponding Author: Zahra Madjd. Second Corresponding Author: Roya Ghods.

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Gheytanchi, E., Naseri, M., Karimi-Busheri, F. et al. Morphological and molecular characteristics of spheroid formation in HT-29 and Caco-2 colorectal cancer cell lines. Cancer Cell Int 21, 204 (2021). https://doi.org/10.1186/s12935-021-01898-9

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Keywords

  • Colorectal cancer (CRC)
  • Cancer stem cells (CSCs)
  • Sphere formation
  • Epithelial-to-mesenchymal transition (EMT)
  • Drug resistance