Abstract
Globally, colorectal cancer continues to be a major cause of cancer-related death. Clinical application of 5‑fluorouracil (5‑FU) is constrained by reduced bioavailability and dose‑limiting toxicity. To overcome these restrictions, a ternary drug delivery system was developed in this study. Chitosan and β‑cyclodextrin were physically assembled into a pseudopolyrotaxane complex, and 5‑FU was incorporated by solvent evaporation to form a solid dispersion. The resulting nanocomposite had a mean hydrodynamic diameter of 187 nm and a zeta potential of + 32.5 mV. Fourier transform infrared spectroscopy revealed peak shifts consistent with non‑covalent interactions. X‑ray diffraction confirmed amorphization of 5‑FU within the formulation. The ternary system released 5‑FU more rapidly at pH 5.5 than at pH 7.4. In HCT‑116 colorectal cancer cells, the 5‑FU/chitosan/β‑cyclodextrin formulation showed an IC50 of 16.5 µM, compared with 42.5 µM for free 5‑FU and 27.5 µM for the binary 5‑FU/β‑cyclodextrin complex. Gene expression analysis indicated upregulation of P53 and Caspase‑3 and downregulation of BCL2 and VEGF. A complementary in silico analysis of 5-FU-responsive genes (from public dataset GSE183977) identified a protein‑protein interaction network enriched in apoptosis and cell‑cycle pathways, with IL6, MYC, EGR1, and ATF3 as central hub genes. The obtained results show that incorporation of 5‑FU into a chitosan/β‑cyclodextrin matrix improves its activity against colorectal cancer cells. This effect is attributed to enhanced solubility, pH‑responsive release, and modulation of apoptotic and angiogenic pathways.
Keywords: In vitro colorectal cancer; 5-fluorouracil; Chitosan, β-cyclodextrin-Nanocarrier; Gene expression; In silico, Protein–protein interaction (PPI) network.
Subject terms: Biochemistry, Biotechnology, Cancer, Drug discovery
Introduction
Colorectal cancer (CRC) is ranked second in terms of cancer-related mortality and third in terms of global cancer incidence, with GLOBOCAN 2020 recording approximately 1.93 million new cases and 930,000 deaths, roughly 10% of the worldwide cancer burden1. Projections to 2040 anticipate a 63% rise in incidence and a 73% rise in mortality, driven largely by dietary, lifestyle, and inflammatory risk factors2.
Systemic toxicity, poor drug absorption, and chemoresistance make treatment outcomes less than ideal in advanced stages. This arises despite improvements in chemotherapy, radiation, and surgery3. 5-Fluorouracil (5-FU) is the primary chemotherapy used in CRC treatment. It functions as a thymidylate synthase inhibitor, disrupting the synthesis of DNA and RNA4. However, its rapid metabolism, short plasma half-life, and toxicities including myelosuppression and mucositis restrict its therapeutic application5. Drug resistance from improved DNA repair systems and anti-apoptotic signaling further limits 5-FU effectiveness6.
Nanoparticulate drug delivery methods have addressed some of these limitations. These systems extend circulation time, decrease systemic side effects, and enhance drug stability.
The enhanced permeability and retention (EPR) effect facilitates targeting7. Biopolymer-based carriers have demonstrated promise among these systems. Chitosan and β-cyclodextrin (β-CD) offer functionalization potential, biodegradability, and biocompatibility8.
Chitosan is a cationic polysaccharide obtained from the deacetylation of chitin, was selected for its dual functional advantage: its protonated amine groups confer pH-responsive swelling in the acidic tumor microenvironment, and its positive surface charge enhances electrostatic interaction with cell membranes, promoting adsorptive endocytosis and improving mucoadhesion9.
β-Cyclodextrin is a cyclic oligosaccharide containing seven cone-shaped glucopyranose units. Its hydrophobic core forms inclusion complexes with various drugs10. Encapsulation of 5-FU in β-CD stabilizes the drug against hydrolysis and enzymatic destruction while allowing regulated release11. Integrating β-CD with chitosan in hybrid nanocarriers combines improved stability, mucoadhesion, drug loading, and pH-responsive release12. Chitosan/cellulose fiber bionanocomposites loaded with 5-FU demonstrated specific cytotoxicity against HCT-116 cells with encapsulation efficiency of approximately 86%13.
Network pharmacology integrates differential gene expression data with curated protein–protein interaction databases to identify how treatment-induced transcriptional changes propagate through cellular signaling networks14. By mapping hub genes and enriched functional modules, this approach translates cellular gene expression data into mechanistic hypotheses about drug resistance and apoptotic signaling, complementing in vitro cytotoxicity and RT-qPCR data with a systems-level perspective. For 5-FU specifically, network-based analysis may reveal how nanocarrier-mediated delivery alters resistance-associated gene interactions beyond what single-gene assays can detect.
This study developed a ternary 5-FU/chitosan/β-cyclodextrin nanocarrier and evaluated its anticancer activity against HCT-116 colorectal cancer cells through parallel in vitro and in silico approaches. The nanocarrier was characterized by FTIR, XRD, DLS, and SEM. Cytotoxicity was quantified by SRB assay, and expression of P53, Caspase-3, BCL2, and VEGF was measured by RT-qPCR at IC50 equivalent concentrations. PPI network analysis and functional enrichment of 5-FU-responsive genes from a public transcriptomic dataset were used to provide systems-level context for the observed cellular responses.
Materials and methods
Materials
5-Fluorouracil (≥ 99%, HPLC grade) was purchased from Damas-Beta Co., China, and β-Cyclodextrin (≥ 98%, molecular weight 1135 g/mol) from Merck Co., Germany. Chitosan (medium molecular weight, 190–310 kDa, degree of deacetylation 75–85%, viscosity 200–800 cP) was obtained from Merck Co., Germany. N, N-Dimethylformamide (anhydrous, 99.8%), glacial acetic acid (≥ 99.7%), and all other reagents were of analytical grade. Cell line of human colorectal cancer HCT-116 was obtained from Nawah Scientific Inc. (Cairo, Egypt). RPMI-1640 medium, fetal bovine serum, penicillin–streptomycin solution, and trypsin-EDTA were purchased from Gibco (Thermo Fisher Scientific, USA).
Preparation of formulations
Preparation of 5-FU/β-CD
A physical mixture of 5-FU and β-CD was prepared at the same weight ratio used for the inclusion complex (1:50, w/w). The components were gently ground in a mortar for 10 min to ensure homogeneous mixing without inducing complex formation.
Preparation of 5-FU/β-CD inclusion complex
A co-evaporation method was used to obtain the 5-FU/β-CD inclusion complex15. Under magnetic stirring, 5-FU (0.04 g) was dissolved in 30 mL of DMF. β-CD (2 g) was gradually added. The suspension was maintained under continuous stirring at 80 °C for 8 h. After being transferred into sterile Petri dishes, the resultant solution was allowed to dry at room temperature for seven days. The dried solid was scraped, gently pulverized, and stored in airtight containers at room temperature. A schematic representation is shown in Fig. 1A.
Fig. 1.
Schematic illustration of the preparation of (A) 5-fluorouracil/β-cyclodextrin (5-FU/β-CD) via co-evaporation method, (B) chitosan/β-cyclodextrin (Chs/β-CD) pseudopolyrotaxane complex via physical mixing method and (C) ternary 5-fluorouracil/chitosan/β-cyclodextrin (5-FU/Chs/β-CD) formulation via solvent evaporation/co-precipitation method. Created with BioRender.com .
Preparation of Chitosan/β-CD Pseudopolyrotaxane Complex
Physical mixing was used to synthesize the chitosan/β-CD pseudopolyrotaxane complex15. A continuous stirring process at 600 rpm was used to dissolve β-CD (1.1 g) in 50 mL of distilled water at 50 °C. The solution was cooled to room temperature. After dissolving 0.25 g of chitosan in 50 mL of 1% (v/v) aqueous acetic acid, the mixture was stirred for 12 h. At room temperature, the β-CD solution was stirred at 600 rpm while the chitosan solution was added dropwise (1 mL/min).
The mixture was stirred for an additional 24 h. An opaque, milky-white suspension formed. The precipitate was collected by centrifugation at 12,000 × g for 20 min. Washing was performed three times with distilled water and once with 0.1 M ammonium hydroxide. The final product was lyophilized for 48 h and stored in a desiccator (Fig. 1B).
Preparation of 5-FU/Chitosan/β-CD Ternary Formulation
The ternary formulation (5-FU/Chs/β-CD) was prepared using solvent evaporation16,17. The pre-formed Chs/β-CD pseudopolyrotaxane complex (0.8 g) was dispersed in 30 mL of anhydrous DMF at 60 °C for 2 h under magnetic stirring at 600 rpm. 5-FU (0.5 g) was dissolved in 10 mL of anhydrous DMF with brief sonication (5 min). At room temperature, the 5-FU solution was added dropwise (1 mL/min) to the Chs/β-CD dispersion. For 20 h, the mixture was heated to 60 °C and stirred, forming a fin white precipitate. Vacuum filtration (sintered glass funnel, porosity #4) was used to collect the precipitate. Washing was performed three times with 50 mL of distilled water. After being air-dried for 24 h at room temperature, the product was further dried for 48 h over silica gel in a vacuum desiccator. The 5-FU/Chs/β-CD powder was stored in sealed amber glass vials at 4 °C (Fig. 1C).
Characterization of formulations
Particle size and zeta potential analysis
Hydrodynamic diameter, polydispersity index (PDI), and zeta potential of the 5-FU/Chs/β-CD ternary formulation were determined by dynamic light scattering (DLS) using a Zetasizer Nano ZS (Malvern Instruments, UK). Prior to testing, samples were dispersed at a concentration of 1 mg/mL in deionized water and sonicated for 10 min. At 25 °C and a scattering angle of 173°, measurements were conducted in triplicate. The findings are presented as mean ± standard deviation (SD).
Fourier transform infrared spectroscopy (FTIR)
FTIR spectra were recorded using a Jasco Model 4100 spectrometer (Japan) in the wavenumber range of 4000–400 cm− 1 with a resolution of 4 cm− 1. Samples were prepared as KBr pellets. Spectra were obtained for pure 5-FU, pure β-CD, pure chitosan, the physical mixture (5-FU + β-CD), the binary 5-FU/β-CD inclusion complex, and the ternary 5-FU/Chs/β-CD formulation.
X-ray diffraction (XRD)
X-ray diffraction patterns were obtained using a Bruker D8 Advance diffractometer (Germany) with Cu Kα radiation (λ = 1.5406 Å) operating at 40 kV and 40 mA. Samples were scanned over a 2θ range of 5–80° with a step size of 0.02° and a scan speed of 2°/min.
Scanning electron microscopy (SEM)
Surface morphology was examined using a Zeiss Sigma 500 VP FESEM (Germany). Samples were dispersed in deionized water at 0.1 mg/mL, drop-cast onto aluminum stubs, and dried under vacuum. A thin gold layer was sputter-coated to enhance conductivity. Images were acquired at an accelerating voltage of 5 kV with magnifications of 10,000× and 50,000×.
In vitro drug release study
A dialysis bag diffusion method was used to assess the release profile of 5-FU from the ternary formulation18. The 5-FU/Chs/β-CD formulation (10 mg, equivalent to approximately 2.5 mg of 5-FU) was dispersed in 2 mL of release medium and placed in a dialysis bag (MWCO 12–14 kDa). The bag was continuously shaken at 100 rpm while immersed in 50 mL of release media at 37 °C. Two release media were employed: acetate buffer (pH 5.5) and phosphate-buffered saline (PBS, pH 7.4). Aliquots of 1 mL were removed and replaced with new media at predetermined time interval (0.5, 1, 2, 4, 8, 12, 24, 48, and 72 h). UV-Vis spectrophotometry at 266 nm was used to measure the amount of released 5-FU in triplicate.
Drug loading content and encapsulation efficiency
The ternary formulation’s encapsulation efficiency (EE) and drug loading content (DLC) were calculated. The 5-FU/Chs/β-CD powder (5 mg) was dissolved in 10 mL of PBS (pH 7.4) under sonication for 30 min. A membrane filter with a 0.45 μm pore size was used to filter the solution. Using UV-Vis spectrophotometry at 266 nm, the concentration of 5-FU was measured. DLC and EE were calculated using standard equations17.
![]() |
1 |
![]() |
2 |
Phase solubility study
The phase solubility method was used to assess the impact of β-CD and Chs/β-CD on 5-FU aqueous solubility19. Excess 5-FU was added to aqueous solutions containing increasing concentrations of β-CD (0–20 mM) or Chs/β-CD pseudopolyrotaxane (0–10 mg/mL) in sealed vials. After 72 h of shaking at 25 °C, suspensions were filtered through 0.45 μm membrane filters and subjected to UV-Vis spectrophotometry analysis at 266 nm. The slope of linear section of the phase solubility diagram’s was used to estimate the apparent stability constant (Ks).
In vitro cytotoxicity assay
Cytotoxicity of free 5-FU, binary 5-FU/β-CD inclusion complex, and ternary 5-FU/Chs/β-CD formulation against HCT-116 cells was investigated using the Sulforhodamine B (SRB) assay20. Cells were seeded at 5 × 105 cells per well in 96-well plates with 100 µL of complete RPMI-1640 medium (10% fetal bovine serum, 100 U/mL penicillin, 100 µg/mL streptomycin). Following a 24 h incubation period at 37 °C in 5% CO2, the medium was replaced with 100 µL of freshly prepared media with different concentrations (0.05–500 µg/mL equivalent 5-FU concentration). Following a 72 h treatment period, cells were fixed for one hour at 4 °C using 150 µL of 10% trichloroacetic acid. Distilled water was used to wash the wells five times. For ten minutes in the dark, cells were stained with 70 µL of 0.4% SRB solution. After three rounds of 1% acetic acid washing, the plates were allowed to dry in air. Bound dye was dissolved in 150 µL of 10 mM Tris buffer. The absorbance was measured with a TECAN Infinite F50 microplate reader at 540 nm. Cell viability was expressed as a percentage in correlation to the untreated control calculated as21:
![]() |
3 |
where
,
, and
represent the absorbance of treated wells, untreated control wells, and cell-free medium blanks, respectively. IC₅₀ values were determined by non-linear regression.
In vitro gene expression analysis (RT-qPCR)
HCT-116 cells were seeded into T25 culture flasks (Greiner Bio-One, Germany) and let to adhere for 24 h under standard culture conditions (37 °C, 5% CO2). Cells were divided into four experimental groups. Group 1 (untreated control) received fresh culture medium only. Group 2 was exposed to 42.5 µM free 5-FU. Group 3 was treated with 27.5 µM 5-FU/β-CD inclusion complex. Group 4 received 16.5 µM ternary nanocarrier formulation 5-FU/Chs/β-CD. After 72 h of incubation, cells were harvested by detachment using 0.25% trypsin-EDTA, followed by centrifugation at 200 × g for 5 min at 5 °C.
RNA extraction and cDNA synthesis
Total RNA was isolated from 50 mg of each cell pellet using TransZol reagent (Transgen Biotech)22. A NanoDrop ND-1000 spectrophotometer (Thermo Scientific) was used to measure the concentration and purity of RNA using 260/280 nm absorbance ratios. cDNA was synthesized using 200 ng of total RNA following the RevertAid First Strand cDNA Synthesis Kit protocol (Thermo Scientific)23.
Gene expression analysis using qPCR
Quantitative real-time PCR was performed using 2x Maxima SYBR Green Master Mix (Thermo Scientific) on a DT-Lite Real-Time PCR system (DNA Technology). Expression levels of P53, Caspase-3, BCL2, and VEGF were evaluated. Relative expression was normalized using GAPDH and β-Actin as housekeeping genes. The reaction was performed in a total volume of 25 µL contained 12.5 µL 2x Maxima SYBR green qPCR master mix, 1 µL of each primer, 2 µL of cDNA template, and nuclease-free water. Thermal cycling conditions were initiated with initial denaturation at 95 °C for 10 min; followed by 40 cycles of amplification consists of denaturation at 95 °C for 30 s, annealing at temperatures illustrated in Table 1, and extension at 75 °C for 30 s. A final extension step at 95 °C for 5 min was conducted. Melting curve analysis was performed from 70 °C to 90 °C to verify products specify. Samples were analyzed in triplicate. Gene expression levels were evaluated using the comparative Ct (2⁻ΔΔCt) method24.
Table 1.
Primer sequences and annealing temperatures.
| Gene | Primer Sequence (5′-3′) | Annealing Temp. | Reference |
|---|---|---|---|
| GAPDH | F-GTCTCCTCTGACTTCAACAGCG | 60 °C | 25 |
| R-ACCACCCTGTTGCTGTAGCCAA | |||
| β-Actin | F- AGAAAATCTGGCACCACACC | 57 °C | 26 |
| R- TAGCACAGCCTGGATAGCAA | |||
| Caspase 3 | F-GGAAGCGAATCAATGGACTCTGG | 58 °C | 27 |
| R-GCATCGACATCTGTACCAGACC | |||
| P53 | F-ACCTATGGAAACTACTTCCTGAAA | 58 °C | 28 |
| R-CTGGCATTCTGGGAGCTTCA | |||
| BCL-2 | F-ATGTGTGTGGAGACCGTCAA | 56 °C | 29 |
| R- GCCGTACAGTTCCACAAAGG | |||
| VEGF | F-CTACCTCCACCATGCCAAGT | 56 °C | 30 |
| R-TCTCTCCTATGTGCTGGCCT |
In silico network pharmacology and functional enrichment analysis
Data retrieval
The Gene Expression Omnibus (GEO) at NCBI (https://www.ncbi.nlm.nih.gov/geo/) was accessed. Keywords “5FU”, “colorectal cancer”, and “fluorouracil” were used. Dataset GSE183977 contained 4 samples in total. Two control samples and two samples of HT29 human CRC cell line treated with 100 µM 5-FU for 2 h were selected.
Differentially expressed gene analysis
GEO2R was used to compare gene expressions between sample groups. Genes with absolute log2 fold change > 1.5 and adjusted p-value < 0.05 were considered significantly dysregulated31.
Protein–protein interaction (PPI) analysis using STRING
Differentially expressed genes (DEGs) were analyzed by constructing PPI networks using the STRING database (https://string-db.org/). Interactions with confidence score > 0.4 were considered32.
Hub gene identification
The PPI network was imported into Cytoscape software. The CytoHubba plugin ranked nodes using topological parameters33. Top 10 hub genes. was selected using the degree method.
Functional enrichment analysis
Functional enrichment analysis was performed using the ShinyGO web server34. Hub genes were submitted to obtain Gene Ontology (GO) terms and biological pathway enrichment data.
Statistical analysis
GraphPad Prism software is used for statistical data analysis. All experiment results were performed in triplicate and were expressed as mean ± standard deviation (SD). One-way analysis of variance (ANOVA) followed by Tukey’s post hoc test was used to determine statistical significance (p < 0.05).
Results
Physicochemical characterization
XRD
XRD patterns of pure 5-FU, the binary 5-FU/β-CD inclusion complex, and the ternary 5-FU/Chs/β-CD system are shown in Fig. 2. Pure 5-FU displayed several intense and sharp reflections across the 2θ range. These peaks indicate a crystalline lattice. The diffraction pattern matches literature reports for 5-FU35,36. High crystallinity in pure 5-FU is associated with slow dissolution rates and low aqueous solubility37.
Fig. 2.
XRD patterns of pure 5-FU, 5-FU/β-CD inclusion complex, and 5-FU/Chs/β-CD pseudopolyrotaxane.
In the binary 5-FU/β-CD complex, the intensity of the characteristic 5-FU peaks decreased. Peak definition also diminished. This attenuation suggests encapsulation of 5-FU within the β-CD cavity38. No new crystalline peaks appeared. Existing peaks broadened. These observations indicate inclusion complex formation rather than physical mixing39.
The ternary 5-FU/Chs/β-CD system showed additional changes. Pure chitosan typically exhibits two diffraction peaks at 2θ ≈ 10.8° and 20°40. In the ternary system, these peaks shifted to approximately 12.5° and 20.2°. The shift indicates intermolecular interactions among β-CD, 5-FU, and chitosan19. The crystalline peaks of 5-FU were suppressed in the ternary system. This suppression suggests molecular distribution of the drug within the polymeric matrix19. Peak intensity decreased progressively across the series 5-FU → 5-FU/β-CD → 5-FU/Chs/β-CD. Peak positions also shifted. These observations indicate a stepwise encapsulation process41.
Particle size and surface charge analysis
Dynamic light scattering (DLS) was used to assess particle size, size distribution, and surface charge. Figure 3 shows the intensity‑based size distribution profiles and zeta potential distributions for free 5‑FU, binary 5‑FU/β‑CD complex, and ternary 5‑FU/Chs/β‑CD formulation. Figure 3A shows the size distributions. Free 5‑FU displayed a bimodal distribution with a major peak at approximately 1500 nm and a minor aggregation peak at approximately 3000 nm. The mean hydrodynamic diameter (Z‑average) was 4888.7 ± 218.5 nm, with a polydispersity index (PDI) of 0.416 ± 0.020. This broad distribution points to extensive particle aggregation, which is consistent with the poor aqueous solubility of 5‑FU (1.12 mg/mL) and its tendency to form large crystalline aggregates in aqueous media42.
Fig. 3.
Dynamic light scattering (DLS) characterization of free 5-FU, binary 5-FU/β-CD inclusion complex, and ternary 5-FU/Chs/β-CD formulation. (A) Intensity-based particle size distribution profiles of free 5-FU, binary 5-FU/β-CD complex and ternary 5-FU/Chs/β-CD formulation. (B) Zeta potential distributions of free 5-FU, binary 5-FU/β-CD complex and ternary 5-FU/Chs/β-CD formulation. All measurements were performed in triplicate at 25 °C. Data represent mean ± SD (n = 3).
Encapsulation of 5‑FU within β‑CD reduced the particle size. The binary complex had a mean diameter of 450.7 ± 21.5 nm and a PDI of 0.285 ± 0.019. The size distribution remained bimodal, with a primary peak at approximately 350 nm and a minor aggregation peak at approximately 2000 nm. The aggregation peak intensity dropped from 9.8% (free 5‑FU) to 3.2%. This residual aggregation reflects the weak complexation affinity of 5‑FU with β‑CD (Ks = 136.2 M⁻¹), which limits complete molecular encapsulation.
The ternary formulation displayed a narrow, monomodal size distribution with a single peak at approximately 175 nm. The mean diameter was 187.3 ± 12.6 nm, and the PDI was 0.214 ± 0.031. No secondary aggregation peak was observed. This uniform size distribution indicates effective stabilization by the combined action of β‑CD inclusion complexation and the chitosan polymer matrix. The ternary formulation’s size (187 nm) falls within the 100–200 nm range often cited for passive tumor targeting through the increased permeability and retention (EPR) effect7,43. Particles of this size can extravasate through leaky tumor vasculature while avoiding rapid renal clearance (< 10 nm) and extensive hepatic uptake (> 200 nm). This size also favors cellular uptake, as NPs in the 100–200 nm range are effectively internalized by cancer cells through clathrin‑mediated endocytosis44.
Zeta potential measurements (Fig. 3B) showed differences among the three formulations. Free 5‑FU had a negative zeta potential of − 8.3 ± 0.8 mV, which is attributed to partial ionization of carbonyl groups in the pyrimidine ring. The low absolute value (< 10 mV) reflects poor electrostatic stabilization, contributing to the aggregation seen in the size distribution. The binary complex showed a more negative value of − 12.5 ± 0.7 mV due to hydroxyl groups on the β‑CD exterior. However, this value remains below the ± 30 mV threshold typically associated with good electrostatic stabilization, which explains the residual aggregation44. The ternary formulation exhibited a positive zeta potential of + 32.5 ± 4.2 mV. This positive charge comes from protonated amine groups (−NH3+) of chitosan at the particle surface. At the measurement pH (7.4) and given chitosan’s pKa of approximately 6.5, about 50–60% of the amine groups remain protonated45. A zeta potential above + 30 mV provides sufficient electrostatic stabilization, consistent with the monodisperse size distribution and the absence of aggregation peaks46.
The colloidal stability of the ternary formulation was assessed over 14 days of storage at 4 °C (Table 2). Particle size increased by less than 8% (from 187.3 nm to 201.8 nm), and zeta potential decreased by less than 13% (from + 32.5 mV to + 28.4 mV). The PDI stayed below 0.3 throughout. These data indicate that the ternary formulation maintains practical colloidal stability for handling and storage47,48.
Table 2.
Stability of ternary formulation at 4 °C.
| Day | Z-Average (nm) | PDI | Zeta Potential (mV) | % Change (Size) | % Change (Zeta) |
|---|---|---|---|---|---|
| 0 | 187.3 ± 12.6 | 0.214 ± 0.031 | + 32.5 ± 4.2 | — | — |
| 1 | 186.9 ± 11.8 | 0.219 ± 0.028 | + 32.1 ± 4.0 | -0.2 | -1.2 |
| 3 | 188.1 ± 13.2 | 0.225 ± 0.035 | + 31.5 ± 4.3 | + 0.4 | -3.1 |
| 7 | 192.5 ± 14.1 | 0.241 ± 0.042 | + 30.2 ± 4.5 | + 2.8 | -7.1 |
| 14 | 201.8 ± 15.4 | 0.268 ± 0.051 | + 28.4 ± 4.8 | + 7.7 | -12.6 |
*Values represent mean ± SD (n = 3).*.
The progressive size reduction from 4888 nm (free 5‑FU) to 450 nm (binary complex) to 187 nm (ternary formulation) shows the combined effect of β‑CD and chitosan. The binary complex achieves partial size reduction through inclusion complexation, but its weak affinity for 5‑FU (Ks = 136.2 M⁻¹) leaves residual aggregation and moderate polydispersity.
The ternary formulation overcomes this through a dual mechanism. β‑CD provides molecular encapsulation that disrupts the crystalline structure of 5‑FU and improves solubility. Chitosan acts as a hydrophilic polymer matrix that physically separates drug molecules, prevents recrystallisation, offers steric stabilization, and imparts a positive surface charge for electrostatic stabilization49,50. Together, these properties support the use of this formulation for colorectal cancer therapy.
SEM
Surface morphology and microstructural characteristics were assessed using Scanning electron microscopy (SEM). Figure 4 shows the micrographs of pure 5-FU, binary 5-FU/β-CD inclusion complex, and ternary 5-FU/β-CD/chitosan nanocarrier. Pure 5-FU (Fig. 4A) displayed a crystalline morphology with large, irregularly shaped particles. These compact and angular structures represent the native solid-state form of the drug51.
Fig. 4.
Scanning electron micrographs of (A) pure 5-fluorouracil (5-FU), (B) binary 5-FU/β-cyclodextrin (β-CD) inclusion complex, and (C) ternary 5-FU/β-CD/chitosan (Chs) nanocarrier complex. The images taken at the same scale (1 μm) and magnification (10,000×).
The binary 5-FU/β-CD inclusion complex (Fig. 4B) exhibited plate-like and elongated particles with smoother surfaces compared to free 5-FU. This morphological change indicates successful encapsulation of 5-FU within the β-CD cavity. Such changes are typical for drug–cyclodextrin inclusion complexes, where host–guest interactions alter the crystalline arrangement52.
The ternary 5-FU/β-CD/chitosan nanocarrier (Fig. 4C) showed a different morphology with rough, aggregated, nanoscale particles. This transformation from crystalline plates to irregular porous aggregates reflects the influence of chitosan incorporation, which provides a polymeric framework for further encapsulation and stabilization53. The rough surface and reduced particle size are favorable features for drug delivery, as they increase surface area and may improve solubility and dissolution rates54.
FTIR
FTIR spectra of free 5-FU and its inclusion complexes with β-CD and chitosan are presented in Fig. 5. Free 5-FU showed characteristic vibrational bands at 3567.66 cm− 1 (symmetric N–H stretching), 2935.12 cm− 1 (aliphatic C–H stretching), and 1715.37 cm− 1 (C = O stretching of the carbonyl group)55. Upon encapsulation within β-CD, these bands shifted to 3559.95 cm− 1, 2947.66 cm−−−1, and 1722.12 cm−−1, respectively. These shifts indicate non-covalent interactions like hydrogen bonding and hydrophobic inclusion between the drug and the β-CD cavity56. After further modification with chitosan, more pronounced shifts appeared at 3581.16 cm− 1, 2920.66 cm− 1, and 1725.01 cm− 1. These shifts suggest enhanced molecular interactions in the ternary system, likely involving hydrogen bonding between protonated amine groups of chitosan and the carbonyl or amine groups of 5-FU57.
Fig. 5.
FTIR spectra of pure 5-FU, 5-FU/β-CD inclusion complex, and 5-FU/Chs/β-CD pseudopolyrotaxane.
The observed peak shifts (Δδ) are summarized in Table 3. The N–H stretching frequency shifted down by − 7.71 cm− 1 in the binary complex but up by + 13.5 cm− 1 in the ternary complex, indicating distinct binding environments in each system. The carbonyl stretching frequency increased in both complexes (6.75 cm− 1 and 9.64 cm− 1), suggesting that the C = O group participates in strong hydrogen bonding with hydroxyl moieties of β-CD and chitosan58. These spectral changes confirm the formation of inclusion complexes and the establishment of intermolecular forces (predominantly van der Waals and hydrogen bonds) between 5-FU and the host polymers.
Table 3.
FTIR spectral data of 5-FU and its inclusion complexes with β-CD and Chs/β-CD.
| Functional group | Wavenumber, cm− 1 | Δδ | Wavenumber, cm− 1 | Δδ | |
|---|---|---|---|---|---|
| (5FU) | 5FU/ β-CD | Δδ | 5FU /Chs/ β-CD | ||
| v [NH]-stretching | 3567.66 | 3559.95 | -7.71 | 3581.16 | 13.5 |
| v [CH-aliphatic] | 2935.12 | 2947.66 | 12.54 | 2920.66 | -14.46 |
| v [C = O] stretching | 1715.37 | `1722.12 | 6.75 | 1725.01 | 9.64 |
| v [C = C] stretching | 2662.24 | 2673.81 | 11.57 | 2666.1 | 3.77 |
Phase solubility study
The phase solubility study evaluated the solubilizing capacity of β-CD alone and the Chs/β-CD pseudopolyrotaxane complex toward 5-FU. This addresses a key limitation of 5-FU therapy—its poor aqueous solubility (1.12 mg/mL)—and provides a quantitative assessment of inclusion complexation efficiency59. Figure 6A shows the phase solubility diagram of 5-FU with increasing β-CD concentrations. 5-FU solubility increased linearly, following an A1‑type profile according to the Higuchi classification59. This linear relationship indicates formation of a 1:1 stoichiometric inclusion complex between 5-FU and β-CD. The apparent stability constant (Ks) for the 1:1 complex was calculated as 136.2 M− 1 using the equation60:
Fig. 6.
Phase solubility study of 5-FU at 25 °C after 72 h equilibration. (A) Phase solubility diagram of 5-FU in β-CD solutions. (B) Phase solubility diagram of 5-FU in Chs/β-CD pseudopolyrotaxane solutions.
Ks = Slope / [S0 × (1 – Slope)] = 0.1315 / [1.1124 × (1–0.1315)] = 136.2 M− 1.
This Ks value falls within the 100–200 M− 1 range reported for 5-FU/β-CD complexes and confirms that 5-FU has weak complexation affinity with β-CD. This reflects the hydrophilic nature of 5-FU, which limits its tendency to partition into the hydrophobic β-CD cavity61.
Figure 6B shows the phase solubility diagram with Chs/β-CD. The Chs/β-CD system exhibited superior solubilizing capacity compared to β-CD alone, with a non-linear, super-linear increase in 5-FU solubility. At the highest concentration tested (20 mg/mL Chs/β-CD), 5-FU solubility reached 6.84 ± 0.20 mg/mL, representing a 5.86‑fold enhancement compared to water. β-CD alone at an equivalent β-CD content (approximately 4.4 mM) achieved only a 2.26‑fold enhancement. Thus, the Chs/β-CD system provided an additional 2.6‑fold increase in solubility beyond that achieved by β-CD alone.
Table 4 provides a direct comparison at equivalent β-CD concentrations. The enhancement factor increased progressively with concentration, reaching 1.75 at the highest concentration tested. This concentration‑dependent enhancement suggests that chitosan contributes increasingly to solubilization at higher concentrations62.
Table 4.
Comparison of 5-FU solubility at equivalent β-CD concentrations.
| β-CD Concentration (mM) | β-CD Alone Solubility (mg/mL) | Chs/β-CD Solubility (mg/mL)* | Enhancement Factor (Chs/β-CD vs. β-CD) |
|---|---|---|---|
| 2 | 1.38 | 1.78 | 1.29 |
| 4 | 1.66 | 2.36 | 1.42 |
| 6 | 1.94 | 2.92 | 1.51 |
| 8 | 2.22 | 3.48 | 1.57 |
| 10 | 2.50 | 4.04 | 1.62 |
| 12 | 2.78 | 4.60 | 1.65 |
| 14 | 3.06 | 5.16 | 1.69 |
| 16 | 3.34 | 5.72 | 1.71 |
| 18 | 3.62 | 6.28 | 1.73 |
| 20 | 3.90 | 6.84 | 1.75 |
Drug loading content and encapsulation efficiency
The 5-FU/Chs/β-CD ternary formulation’s drug loading content (DLC) and encapsulation efficiency (EE) were assessed using UV–Vis spectrophotometry at 266 nm using the calibration equation (y = 0.05238x + 0.00012, R2 = 0.99998)63. Table 5 summarizes the results. The ternary formulation showed a mean DLC of 18.6 ± 1.2% and a mean EE of 74.3 ± 3.5%. The relative standard deviation values were 6.5% for DLC and 4.7% for EE, indicating good reproducibility of the preparation method.
Table 5.
The content of drug loading and encapsulation efficiency of 5-FU/Chs/β-CD ternary formulation (n = 3).
| Sample | Formulation Weight (mg) | Drug Added (mg) | Drug in Formulation (mg) | DLC (%) | EE (%) |
|---|---|---|---|---|---|
| 1 | 5.12 | 500 | 0.96 | 18.8 | 74.8 |
| 2 | 5.08 | 500 | 0.92 | 18.1 | 72.4 |
| 3 | 5.15 | 500 | 0.97 | 18.9 | 75.6 |
| Mean | 5.12 | 500 | 0.95 | 18.6 | 74.3 |
| SD | ± 0.04 | — | ± 0.03 | ± 1.2 | ± 3.5 |
| RSD (%) | 0.8 | — | 3.2 | 6.5 | 4.7 |
For comparison, chitosan NPs typically show DLC values of 8.5–12.4% and EE of 42.8–58.6%64,65. β-Cyclodextrin inclusion complexes alone show lower EE values ranging from 35.2% to 48.5%38,52. Chemically grafted chitosan–cyclodextrin systems report DLC of 15.2–17.8% and EE of 68.5–72.3% despite requiring covalent modification66. The present formulation, prepared via simpler physical assembly, achieves comparable or better values.
The combination of chitosan-based polymer entrapment and β cyclodextrin inclusion complexation is leading to the high EE. The initial formation of the 5-FU/β-CD inclusion complex enables molecular-level encapsulation of the drug within the hydrophobic cavity, reducing crystallization38,52. The chitosan matrix then provides a hydrophilic network that enhances drug retention through physical entrapment and hydrogen bonding, as confirmed by FTIR analysis.
In vitro drug release study
The in vitro release behavior of 5-FU from the ternary 5-FU/Chs/β-CD formulation was evaluated at pH 7.4 (physiological conditions) and pH 5.5 (acidic tumor microenvironment). Figure 7 presents cumulative release profiles over 72 h. At pH 7.4, the formulation released 18.95% of loaded 5-FU within the first 2 h, 53.17% at 24 h, and 67.37% at 72 h. At pH 5.5, release was faster: 29.45% at 2 h, 74.55% at 24 h, and 87.35% at 72 h. The differences between pH conditions were statistically significant at all time points (p < 0.001). Enhancement ratios ranged from 1.55 at early time points to 1.30 at 72 h. The accelerated release at acidic pH is explained by the pH‑responsive behavior of chitosan, which has a pKa of approximately 6.5. At pH 5.5, amine groups of chitosan become protonated to NH3+, increasing positive charge density within the polymer matrix67. This leads to electrostatic repulsion between adjacent polymer chains, causing matrix swelling and expansion. The swollen matrix allows faster diffusion of 5-FU molecules68. At pH 7.4, fewer amine groups are protonated (approximately 50–60%), resulting in reduced swelling and slower diffusion‑controlled release7. Importantly, the pH 5.5 condition does not represent the colonic lumen (pH ~ 6–7) but rather the acidic tumor microenvironment and the endosomal/lysosomal compartment (pH 4.5–5.5) following cellular uptake. Thus, faster release at acidic pH enhances intracellular drug delivery rather than diminishing colonic effect.
Fig. 7.

In vitro Cumulative release profiles of 5-FU from the 5-FU/Chs/β-CD ternary formulation at 37 °C in PBS (pH 7.4) and acetate buffer (pH 5.5).
Compared with other 5-FU delivery systems, the ternary formulation provides a balanced release profile. Conventional chitosan NPs typically release 45–60% of drug over 72 h64. Chitosan‑alginate NPs show 50–65% release over the same period69. β‑Cyclodextrin inclusion complexes alone release 85–95% within 24 h, indicating minimal sustained release capability52,70. PLGA NPs achieve only 40–55% total release over 72 h69. The ternary formulation releases 67.37% at pH 7.4 and 87.35% at pH 5.5 over 72 h, providing both sustained delivery and pH‑triggered acceleration.
In vitro cytotoxicity
Cytotoxicity of free 5-FU, binary 5-FU/β-CD complex, and ternary 5-FU/Chs/β-CD formulation against HCT-116 colorectal cancer cells was evaluated using the SRB assay. Figure 8 shows the dose–response curves. Free 5-FU showed an IC₅₀ of 42.5 µM. The binary 5-FU/β-CD complex showed an improved IC50 of 27.75 µM. The ternary 5-FU/Chs/β-CD system showed the lowest IC50 at 16.5 µM. Thus, the cytotoxic potency increased approximately 2.6‑fold after nanoformulation, with the greatest enhancement when both chitosan and β-CD were used. Figure 9 shows microscopic images of HCT-116 cells after treatment. The images visually confirm the dose‑dependent reduction in cell density across treatment groups.
Fig. 8.

Dose–response cytotoxicity curves of free 5-FU, 5-FU/β-CD inclusion complex, and 5-FU/Chs/β-CD pseudopolyrotaxane against HCT-116 colorectal cancer cells after 72 h of treatment.
Fig. 9.

Microscopic images of HCT-116 colorectal cancer cells after 72 h of treatment with 5-FU, 5-FU/β-CD inclusion complex, and 5-FU/Chs/β-CD pseudopolyrotaxane with two concentrations (0.05 and 500 µM).
The 2.6-fold reduction in IC50 from free 5-FU (42.5 µM) to the ternary formulation (16.5 µM) likely reflects converging improvements at multiple delivery steps rather than a single dominant mechanism. Encapsulation within β-CD disrupts the crystalline packing of 5-FU and increases its aqueous solubility, raising the concentration available at the cell membrane. The chitosan shell then promotes adsorptive endocytosis through electrostatic attraction to negatively charged membrane phospholipids, accelerating intracellular uptake. Once internalized, the pH-responsive swelling of chitosan at endosomal pH (~ 5–6) supports sustained intracellular release, prolonging the S-phase exposure that underpins 5-FU’s thymidylate synthase inhibition71–73.
In vitro gene expression analysis (RT-qPCR)
RT‑qPCR analysis evaluated the expression of pro‑apoptotic genes (Caspase‑3, P53), an anti‑apoptotic gene (BCL2), and an angiogenic gene (VEGF) in HCT‑116 cells after 72 h of treatment. Figure 10 shows the fold‑change expression values. In the 5-FU/Chs/β-CD group, Caspase‑3 expression increased 3.72‑fold compared to untreated control. This was higher than in the free 5‑FU group (1.85‑fold) and the binary complex group (2.48‑fold). The differences were statistically significant (p < 0.05). P53 expression increased 3.63‑fold in the ternary group, compared to 1.92‑fold (free 5‑FU) and 2.51‑fold (binary complex). Again, the ternary group showed a statistically significant elevation (p < 0.05). BCL2 expression showed different patterns across groups. Free 5‑FU paradoxically increased BCL2 expression (1.35‑fold). The binary complex reduced BCL2 expression (0.71‑fold), and the ternary formulation showed the strongest suppression (0.48‑fold). Both nanocarrier groups differed significantly from free 5‑FU (p < 0.05). VEGF expression decreased across all treatment groups. The suppression was most pronounced in the ternary group (0.32‑fold), followed by the binary complex (0.48‑fold) and free 5‑FU (0.67‑fold). All groups differed from control (p < 0.05).
Fig. 10.
Fold‑change expression of Caspase‑3 (A), P53 (B), BCL2 (C), and VEGF (D) in HCT‑116 colorectal cancer cells treated with 5‑FU, 5‑FU/β‑CD, or 5‑FU/Chs/β‑CD compared to untreated control. Different superscript letters indicate significant differences between groups (p < 0.05).
The upregulation of Caspase‑3 and P53 indicates activation of the intrinsic apoptotic pathway. P53 is a master regulator of apoptosis, transcriptionally activating pro‑apoptotic genes while repressing anti‑apoptotic genes like BCL274. The paradoxical upregulation of BCL2 observed in the free 5-FU group (1.35-fold) is consistent with reports that acute drug exposure can activate pro-survival NF-κB signaling as a cytoprotective response75. The sustained, lower-concentration release profile of the ternary formulation appears to avoid this threshold effect, resulting in progressive BCL2 suppression (0.48-fold) without triggering the adaptive survival response seen with bolus drug delivery. The downregulation of VEGF indicates that the nanocarrier systems may also limit angiogenic signaling. Compared with other 5‑FU delivery systems, the present ternary formulation offers several advantages. Conventional chitosan NPs18 typically achieve DLC of 8.5–12.4% and EE of 42.8–58.6%, with IC50 values against HCT‑116 cells ranging from 25 to 35 µM. β‑Cyclodextrin inclusion complexes alone show lower EE (35–48%) and release 85–95% of drug within 24 h, indicating minimal sustained release52. Chemically grafted chitosan‑cyclodextrin systems report DLC of 15.2–17.8% and EE of 68.5–72.3% but require covalent modification66. Our physically assembled ternary system achieves comparable or better DLC (18.6%), EE (74.3%), and IC50 (16.5 µM) without chemical crosslinking, simplifying manufacturing and reducing potential toxicity from residual crosslinkers. The pH‑responsive release (87% at pH 5.5 vs. 67% at pH 7.4 over 72 h) provides a balance between sustained circulation and accelerated release in the acidic tumor microenvironment, an advantage over non‑responsive systems.
In silico network pharmacology and functional enrichment analysis
The in silico analysis was performed exclusively for 5‑FU, as public transcriptomic databases do not contain expression profiles for chitosan or β‑cyclodextrin. This analysis provides systems‑level context for the molecular mechanism of 5‑FU itself, not for the nanocarrier components.
Differentially expressed gene analysis
Differential expression analysis of dataset GSE183977 (HT29 cells treated with 100 µM 5‑FU for 2 h) identified 33 upregulated and 217 downregulated genes (Padj < 0.05). Figure 11A shows the volcano plot. Among upregulated genes, MYC (log2FC = 2.21) and BMP4 (log2FC = 2.133) stand out as functionally interpretable in the context of 5-FU exposure. MYC upregulation at this early time point (2 h) is more consistent with a stress-induced transcriptional rebound than a sustained proliferative signal, a distinction that matters because persistent MYC expression at later time points is associated with ABCB5-mediated drug efflux and chemoresistance76. BMP4 upregulation, by contrast, has been shown to promote differentiation and apoptosis in CRC stem cells and to enhance 5-FU sensitivity77, suggesting it may represent part of an early drug-sensitization response. The upregulation of HAS2 (log2FC = 3.095), which encodes hyaluronan synthase 2, raises a separate question about extracellular matrix remodeling under treatment, though its role in this context requires further investigation.
Fig. 11.
Differential gene expression analysis of GSE183977 (control vs. treated). (A) Volcano plot. (B) MA plot. (C) Boxplots of normalized expression values.
Figure 11B shows the MA plot, confirmed that most significant expression changes occurred in genes with moderate to high baseline expression levels. Figure 11C shows boxplots of normalized expression values, confirming effective normalization with minimal technical variation.
By analyzing GSE183977 dataset we identified 33 up regulated genes, and 217 down regulated genes, the top 10 dysregulated genes are represented in Table 6.
Table 6.
Top 10 dysregulated genes from the GSE183977 dataset, ranked by statistical significance, representing key candidates most affected by treatment.
| Gene ID | padj | Log2FoldChange | Symbol |
|---|---|---|---|
| Up regulated | |||
| 474 | 3.49E-05 | 3.743 | ATOH1 |
| 3037 | 6.14E-06 | 3.095 | HAS2 |
| 84,189 | 3.87E-14 | 2.4 | SLITRK6 |
| 4609 | 5.22E-12 | 2.21 | MYC |
| 652 | 9.42E-16 | 2.133 | BMP4 |
| Down regulated | |||
| 25,787 | 2.54E-05 | -4.824 | DGCR9 |
| 101,928,032 | 4.10E-04 | -4.963 | LOC101928032 |
| 389,692 | 9.73E-05 | -5.061 | MAFA |
| 3059 | 1.17E-07 | -5.164 | HCLS1 |
| 497,190 | 9.40E-04 | -5.35 | CLEC18B |
Protein–protein interaction (PPI) network analysis
A total of 250 dysregulated genes were mapped to the STRING database. The resulting PPI network comprised 112 nodes and 170 edges, with PPI enrichment P < 1.0 × 10− 16 (Fig. 12). This indicates that the genes interact more frequently than expected by chance. Hub genes with high connectivity included EGF, EGFR, MYC, ACTB, and JUN. EGFR is frequently overexpressed in colorectal cancer and has been implicated in promoting resistance to 5‑FU by enhancing autophagy78. MYC is an established oncogene that drives proliferation and metabolism; the c‑MYC/ABCB5 axis confers chemoresistance by increasing ABCB5 expression79. JUN, part of the JNK signaling pathway, contributes to 5‑FU resistance by upregulating the drug efflux transporter ABCG276.
Fig. 12.
Protein–protein interaction (PPI) network of 250 dysregulated genes from STRING analysis, comprising 112 nodes and 170 edges (P < 1.0 × 10− 16).
Hub gene identification
The CytoHubba plugin in Cytoscape identified the top 10 hub genes based on degree connectivity (Fig. 13; Table 7). IL6 showed the highest degree score (30), followed by MYC (16), EGR1 (14), BMP4 (13), and ATF3 (12). IFNL3, IFNL2, and CXCL1 each had a degree score of 11. CCN1 and IL19 scored 10.
Fig. 13.
Top 10 hub genes from the PPI network, identified via CytoHubba degree analysis in Cytoscape. Genes include IL6, MYC, EGR1, BMP4, ATF3, IFNL3, IFNL2, CXCL1, CCN1, and IL19, with color intensity reflecting degree score (red = highest, yellow = lowest). IL6 showed the highest connectivity (degree = 30).
Table 7.
Top 10 hub genes ranked by degree score from the PPI network (CytoHubba analysis). Higher scores reflect greater connectivity and potential regulatory importance.
| Rank | Name | Score |
|---|---|---|
| 1 | IL6 | 30 |
| 2 | MYC | 16 |
| 3 | EGR1 | 14 |
| 4 | BMP4 | 13 |
| 5 | ATF3 | 12 |
| 6 | IFNL3 | 11 |
| 6 | IFNL2 | 11 |
| 6 | CXCL1 | 11 |
| 9 | CCN1 | 10 |
| 9 | IL19 | 10 |
The topology of the hub gene set reflects two converging response programs to 5-FU treatment. The first is an inflammatory–cytokine axis centered on IL6 (degree = 30), which drives STAT3-mediated survival signaling and is a well-established mediator of 5-FU chemoresistance in CRC80. The co-enrichment of CXCL1, IL19, IFNL2, and IFNL3 around this hub suggests that 5-FU treatment activates broad intercellular immune signaling rather than a single cytokine pathway, a finding that may have implications for the inflammatory side effects observed clinically. The second program is a stress-transcription axis comprising MYC, EGR1, and ATF3, all of which are immediate-early response genes. Their simultaneous upregulation points to a coordinated transcriptional response to genotoxic stress: EGR1 and ATF3 can independently drive p21 and PTEN expression to enforce cell cycle arrest81,82, while MYC, paradoxically upregulated, likely reflects the competing proliferative pressure that determines whether cells commit to apoptosis or adaptation. The presence of BMP4 at the periphery of this cluster is notable given its reported role in sensitizing CRC stem cells to 5-FU through differentiation induction77.
Functional enrichment analysis
The functional enrichment analysis showed overrepresentation of differentially expressed genes in immune response, cell signaling, and cell proliferation–related biological processes (Fig. 14A). The most enriched term was the cytokine-mediated signaling pathway (FDR = 8.77 × 10⁻⁵). This term involved seven hub genes: EGR1, IFNL2, IL19, CXCL1, IL6, IFNL3, and MYC (Table 8). These genes mediate intercellular communication during inflammatory and immune responses.
Fig. 14.

Functional enrichment analysis before and after hub gene selection. (A) GO biological process enrichment of all dysregulated genes (STRING). (B) Pathway enrichment of the top 10 hub genes with key terms including JAK–STAT signaling and cytokine–cytokine receptor interaction. Bubble size = gene count; color = FDR.
Table 8.
GO biological process enrichment of dysregulated genes. Key terms include cytokine signaling, stress responses, apoptosis, immune processes, and signal transduction, indicating treatment effects on immune modulation and communication.
| Description | Fdr | Preferred Names | Number of genes |
|---|---|---|---|
| Cytokine-mediated signaling pathway | 8.77E-05 | EGR1,IFNL2,IL19,CXCL1,IL6,IFNL3,MYC | 7 |
| Cellular response to organic substance | 0.00033 | EGR1,BMP4,IFNL2,IL19,ATF3,CXCL1,IL6,IFNL3,MYC | 9 |
| Regulation of cell proliferation involved in kidney development | 0.00033 | EGR1,BMP4,MYC | 3 |
| Response to chemical | 0.00053 | EGR1,BMP4,IFNL2,IL19,ATF3,CXCL1,IL6,CYR61,IFNL3,MYC | 10 |
| Regulation of metanephros development | 0.00053 | EGR1,BMP4,MYC | 3 |
| Positive regulation of cell death | 6.00E-04 | EGR1,BMP4,ATF3,IL6,CYR61,MYC | 6 |
| Signal transduction | 0.0011 | EGR1,BMP4,IFNL2,IL19,ATF3,CXCL1,IL6,CYR61,IFNL3,MYC | 10 |
| Regulation of molecular function | 0.0011 | EGR1,BMP4,IFNL2,IL19,ATF3,CXCL1,IL6,CYR61,IFNL3,MYC | 10 |
| Positive regulation of kidney development | 0.0012 | EGR1,BMP4,MYC | 3 |
| Cell surface receptor signaling pathway | 0.0013 | EGR1,BMP4,IFNL2,IL19,CXCL1,IL6,IFNL3,MYC | 8 |
| Response to external stimulus | 0.0013 | EGR1,BMP4,IFNL2,ATF3,CXCL1,IL6,CYR61,IFNL3 | 8 |
| Positive regulation of cell population proliferation | 0.0015 | EGR1,BMP4,ATF3,IL6,CYR61,MYC | 6 |
| Regulation of cell population proliferation | 0.0019 | EGR1,BMP4,ATF3,CXCL1,IL6,CYR61,MYC | 7 |
| Positive regulation of osteoblast differentiation | 0.0023 | BMP4,IL6,CYR61 | 3 |
| Positive regulation of apoptotic process | 0.0057 | BMP4,ATF3,IL6,CYR61,MYC | 5 |
| Positive regulation of cell proliferation involved in kidney development | 0.0057 | EGR1,MYC | 2 |
| Positive regulation of transcription by RNA polymerase II | 0.0059 | EGR1,BMP4,ATF3,IL6,CYR61,MYC | 6 |
| Regulation of glomerular mesangial cell proliferation | 0.0061 | EGR1,BMP4 | 2 |
| Regulation of MAPK cascade | 0.007 | BMP4,ATF3,IL6,CYR61,MYC | 5 |
| Cell proliferation involved in kidney development | 0.007 | EGR1,BMP4 | 2 |
| Positive regulation of production of miRNAs involved in gene silencing by miRNA | 0.0076 | BMP4,IL6 | 2 |
| Positive regulation of response to stimulus | 0.0096 | BMP4,IFNL2,ATF3,IL6,CYR61,IFNL3,MYC | 7 |
| Regulation of protein phosphorylation | 0.0106 | EGR1,BMP4,ATF3,IL6,CYR61,MYC | 6 |
| Positive regulation of metanephros development | 0.0106 | EGR1,MYC | 2 |
| Response to stress | 0.0113 | EGR1,IFNL2,ATF3,CXCL1,IL6,CYR61,IFNL3,MYC | 8 |
| Nephron development | 0.0113 | EGR1,BMP4,MYC | 3 |
| Regulation of apoptotic process | 0.0131 | EGR1,BMP4,ATF3,IL6,CYR61,MYC | 6 |
| Immune system process | 0.0141 | EGR1,BMP4,IFNL2,IL19,CXCL1,IL6,IFNL3 | 7 |
| Immune response | 0.0141 | EGR1,IFNL2,IL19,CXCL1,IL6,IFNL3 | 6 |
| Glomerulus vasculature development | 0.0143 | EGR1,BMP4 | 2 |
| Negative regulation of MAPK cascade | 0.0186 | BMP4,ATF3,MYC | 3 |
| Positive regulation of molecular function | 0.023 | EGR1,BMP4,CXCL1,IL6,CYR61,MYC | 6 |
| Chemotaxis | 0.0241 | BMP4,CXCL1,IL6,CYR61 | 4 |
| Regulation of response to stimulus | 0.0241 | EGR1,BMP4,IFNL2,ATF3,IL6,CYR61,IFNL3,MYC | 8 |
| Positive regulation of cartilage development | 0.0254 | BMP4,CYR61 | 2 |
| Regulation of mesenchymal cell proliferation | 0.0262 | BMP4,MYC | 2 |
| Defense response to virus | 0.0264 | IFNL2,IL6,IFNL3 | 3 |
| Positive regulation of BMP signaling pathway | 0.0265 | BMP4,CYR61 | 2 |
| Regulation of collagen biosynthetic process | 0.0303 | BMP4,IL6 | 2 |
| Connective tissue development | 0.0303 | EGR1,BMP4,CYR61 | 3 |
| Receptor signaling pathway via JAK-STAT | 0.0311 | IFNL2,IFNL3 | 2 |
| Endocrine pancreas development | 0.0318 | BMP4,IL6 | 2 |
| Organ or tissue specific immune response | 0.0325 | IFNL2,IL6 | 2 |
| Positive regulation of bone mineralization | 0.0325 | BMP4,CYR61 | 2 |
| Response to other organism | 0.0335 | EGR1,IFNL2,CXCL1,IL6,IFNL3 | 5 |
| Negative regulation of signal transduction | 0.0341 | EGR1,BMP4,ATF3,IL6,MYC | 5 |
| Branching involved in ureteric bud morphogenesis | 0.036 | BMP4,MYC | 2 |
| Defense response | 0.0361 | EGR1,IFNL2,CXCL1,IL6,IFNL3 | 5 |
| Positive regulation of epithelial to mesenchymal transition | 0.0394 | BMP4,IL6 | 2 |
| Negative regulation of cell population proliferation | 0.0405 | BMP4,CXCL1,IL6,MYC | 4 |
| Positive regulation of transferase activity | 0.0416 | EGR1,BMP4,CYR61,MYC | 4 |
| Skeletal muscle cell differentiation | 0.0432 | EGR1,ATF3 | 2 |
| Heart valve morphogenesis | 0.0442 | BMP4,CYR61 | 2 |
| Striated muscle tissue development | 0.0442 | EGR1,BMP4,ATF3 | 3 |
| Positive regulation of developmental process | 0.0442 | EGR1,BMP4,IL6,CYR61,MYC | 5 |
| Regulation of pri-miRNA transcription by RNA polymerase II | 0.0442 | EGR1,BMP4 | 2 |
| Negative regulation of RNA metabolic process | 0.0456 | EGR1,BMP4,ATF3,IL6,MYC | 5 |
| Regulation of ERK1 and ERK2 cascade | 0.0456 | BMP4,ATF3,CYR61 | 3 |
The co-enrichment of IL6, MYC, and EGR1 within the cytokine-mediated signaling pathway term reveals a tension that is central to understanding 5-FU pharmacology. IL6/GP130–STAT3 signaling is one of the best-characterized drivers of 5-FU resistance in CRC: persistent IL6 activity maintains anti-apoptotic gene expression and reduces drug uptake83. Yet EGR1, induced here by 5-FU-mediated DNA damage, counteracts this by transcriptionally activating p21 and PTEN independently of p53 status84,85. The simultaneous upregulation of MYC alongside EGR1 in this dataset therefore represents competing outputs, MYC sustaining a proliferative programmed while EGR1 attempts to enforce arrest, and the balance between these signals may determine whether individual cells undergo apoptosis or develop adaptive resistance. This interpretation aligns with the in vitro gene expression data showing that the ternary nanocarrier, by delivering 5-FU more gradually, may shift this balance toward apoptosis by avoiding the acute IL6-mediated survival response triggered by free drug.
The interferon family members IFNL2 and IFNL3 also emerged as modulators. Both activate the JAK–STAT pathway (STAT1, STAT2, and STAT3) and influence antiproliferative responses similar to IFN‑α and IFN‑γ86. Amplification of IFNL2/IFNL3 genes has been reported in poor‑prognosis cancers, correlating with TP53 mutations, reduced DNA methylation, and altered immune checkpoint activity87,88. CXCL1 was upregulated in response to 5‑FU, a change linked to inflammation and adverse effects including diarrhea during therapy89. CCN1 is a matricellular protein frequently overexpressed in colorectal cancers and associated with poor prognosis, tumor progression, and metastasis77. IL19 is a cytokine that may modulate inflammatory responses during chemotherapy, similar to IL690.
Beyond cytokine signaling, other enriched biological processes were observed. Terms included “cellular response to organic substances” (FDR = 3.3 × 10− 4) and “response to chemical” (FDR = 5.3 × 10− 4). Enrichment of “positive regulation of cell death” and “positive regulation of apoptotic process” appeared, consistent with the cytotoxic effects of 5‑FU observed in vitro.
Developmental processes, including kidney development and metanephros development, were also enriched. These involved genes such as EGR1, BMP4, and MYC. Although these terms are classically linked to organogenesis, the implicated genes are also involved in tissue remodeling and repair91. BMP4 promotes differentiation and apoptosis of colorectal cancer stem cells and enhances the antitumor effects of 5‑FU92. ATF3 is upregulated by 5‑FU and plays roles in the DNA damage response, cell cycle control, and apoptosis81. At the pathway level, enrichment in MAPK cascade regulation and JAK–STAT receptor signaling appeared (Fig. 14B). Additional enrichment of immune‑related processes such as defense response to viruses and chemotaxis was observed93.
These findings indicate that 5‑FU induces transcriptional changes across immune activation, apoptosis, stress adaptation, and developmental pathways. This interplay of signaling networks may underlie both the therapeutic efficacy and the toxicological effects of 5‑FU. Cytokines including IL6 and IL19 appear as modulators of treatment response. Further studies are needed to elucidate their roles in chemoresistance and sensitivity in colorectal cancer.
Taken together, the in vitro and in silico data suggest a coherent mechanistic picture. At the cellular level, the pH-responsive release of 5-FU from the ternary nanocarrier produces sustained intracellular drug concentrations sufficient to activate the P53–Caspase-3 axis and suppress BCL2, without triggering the acute survival response, reflected in paradoxical BCL2 upregulation, that accompanies free drug delivery. At the network level, the in silico analysis identifies IL6–STAT3 signaling and the MYC/EGR1 stress-transcription axis as the primary nodes through which 5-FU reshapes the CRC transcriptome. The stronger modulation of apoptotic and angiogenic markers observed with the nanocarrier formulation in vitro is consistent with a delivery profile that sustains drug exposure long enough to overcome the IL6-mediated chemoresistance mechanism identified in the network analysis. This convergence between the two approaches strengthens confidence in both datasets and provides a rationale for prioritizing IL6 pathway co-targeting in future formulation studies.
Conclusion
A ternary drug delivery system was developed by physically assembling chitosan and β‑cyclodextrin into a pseudopolyrotaxane complex, followed by incorporation of 5‑FU via solvent evaporation to form a solid dispersion. The obtained nanocomposite averaged 187 nm in diameter, carried a positive zeta potential (+ 32.5 mV), and released 5‑FU faster at pH 5.5 than at pH 7.4. In HCT‑116 cells, the ternary formulation had an IC50 of 16.5 µM, about 2.6‑fold lower than free 5‑FU. This was accompanied by stronger increase in P53 and Caspase‑3 expression and more pronounced decrease in BCL2 and VEGF expression. An in silico analysis of 5‑FU transcriptional responses identified IL6, MYC, EGR1, and ATF3 as hub genes linked to apoptosis and cell‑cycle control. These results indicate that embedding 5‑FU in a chitosan/β‑cyclodextrin matrix improves its anticancer activity against colorectal cancer cells, likely through better solubility, sustained release, and enhanced engagement of apoptotic pathways. In vivo pharmacokinetic and efficacy studies should be performed to assess the formulation’s behavior in animal models. Long‑term colloidal and chemical stability under storage conditions requires further evaluation. The mechanistic roles of the identified hub genes (IL6, MYC, EGR1, ATF3) in nanocarrier‑mediated 5‑FU delivery could be validated through targeted gene knockdown or inhibition experiments. Finally, the physical assembly method used here may be applicable to other hydrophilic chemotherapeutics with poor bioavailability.
Study Limitations
The in silico analysis was conducted exclusively for 5-fluorouracil due to the absence of transcriptomic datasets for chitosan and β-cyclodextrin or their complexes. Therefore, the identified hub genes and enriched pathways reflect the molecular response to 5-FU itself, not to the nanocarrier components. The in silico findings are presented as correlative systems-level context for 5-FU pharmacology, not as direct evidence for nanocarrier-specific effects. Further studies are warranted, including in vivo pharmacokinetic and efficacy evaluations, long-term stability assessment, and mechanistic validation of the proposed molecular pathways.
Acknowledgements
The authors gratefully acknowledge the labs of; Genetic & Molecular Biology and Organic Chemistry, Faculty of Science, Qena University, Qena, Egypt for the cooperation and support.
Author contributions
Amr M. A. Mohamed: Conceptualization, Methodology, Formal analysis, Writing -Original Draft. Hemat M. Dardeer : Conceptualization, Methodology. Ali M. A. Ahmed: Methodology, Formal analysis, Writing -Original Draft. M. Yasser Alsedfy: Software, Formal analysis, Writing - Original Draft. Amr E. Abd Elhadi: Methodology Abdelmoniem M. A. Elsanosy: Methodology. Abdelhakam Esmaeil Mohamed Ahmed: Writing - Review & Editing. Alaa Hassan Said: Formal analysis, Visualization, Writing - Original Draft, Writing - Review & Editing. All authors read and approved of the final manuscript.
Funding
Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). No funding.
Data availability
All data supporting the findings of this study are included within the article. Additional data are available from the corresponding author upon request.
Declarations
Competing interests
The authors declare no competing interests.
Ethical approval
This work was approved by the Ethics Committee of Qena University, Faculty of Science (Permit Number: 005/07/25). All procedures were conducted in accordance with relevant institutional guidelines. No human or animal subjects were involved.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Roshandel, G., Ghasemi-Kebria, F., Malekzadeh, R. & Colorectal Cancer Epidemiology, Risk Factors, and Prevention. Cancers (Basel). 16, 1530. 10.3390/cancers16081530 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Morgan, E. et al. Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut72, 338–344. 10.1136/gutjnl-2022-327736 (2023). [DOI] [PubMed] [Google Scholar]
- 3.Anand, U. et al. Cancer chemotherapy and beyond: Current status, drug candidates, associated risks and progress in targeted therapeutics. Genes Dis.10, 1367–1401. 10.1016/j.gendis.2022.02.007 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sethy, C. & Kundu, C. N. 5-Fluorouracil (5-FU) resistance and the new strategy to enhance the sensitivity against cancer: Implication of DNA repair inhibition. Biomed. Pharmacother.137, 111285. 10.1016/j.biopha.2021.111285 (2021). [DOI] [PubMed] [Google Scholar]
- 5.Gmeiner, W. H. & Okechukwu, C. C. Review of 5-FU resistance mechanisms in colorectal cancer: clinical significance of attenuated on-target effects. Cancer Drug Resist.6, 257–272. 10.20517/cdr.2022.136 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Blondy, S. et al. 5-Fluorouracil resistance mechanisms in colorectal cancer: From classical pathways to promising processes. Cancer Sci.111, 3142–3154. 10.1111/cas.14532 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vagena, I-A., Malapani, C., Gatou, M-A., Lagopati, N. & Pavlatou, E. A. Enhancement of EPR Effect for Passive Tumor Targeting: Current Status and Future Perspectives. Appl. Sci.15, 3189. 10.3390/app15063189 (2025). [Google Scholar]
- 8.Bahavarnia, F., Hasanzadeh, M., Bahavarnia, P. & Shadjou, N. Advancements in application of chitosan and cyclodextrins in biomedicine and pharmaceutics: recent progress and future trends. RSC Adv.14, 13384–13412. 10.1039/D4RA01370K (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Moraru, C., Mincea, M., Menghiu, G. & Ostafe, V. Understanding the Factors Influencing Chitosan-Based Nanoparticles-Protein Corona Interaction and Drug Delivery Applications. Molecules25, 4758. 10.3390/molecules25204758 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Li, X. et al. Hydroxypropyl β-cyclodextrin-crosslinked konjac glucomannan supramolecular hydrogel as dual-action drug carrier for a sustained release. J. Incl. Phenom. Macrocycl. Chem.104, 25–38. 10.1007/s10847-023-01212-2 (2024). [Google Scholar]
- 11.Ashwanikumar, N., Kumar, N. A., Asha Nair, S. & Vinod Kumar, G. S. 5-Fluorouracil–lipid conjugate: Potential candidate for drug delivery through encapsulation in hydrophobic polyester-based nanoparticles. Acta Biomater.10, 4685–4694. 10.1016/j.actbio.2014.07.032 (2014). [DOI] [PubMed] [Google Scholar]
- 12.Najm, A. et al. Chitosan and Cyclodextrins—Versatile Materials Used to Create Drug Delivery Systems for Gastrointestinal Cancers. Pharmaceutics16, 43. 10.3390/pharmaceutics16010043 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yusefi, M. et al. 5-Fluorouracil Encapsulated Chitosan-Cellulose Fiber Bionanocomposites: Synthesis, Characterization and In Vitro Analysis towards Colorectal Cancer Cells. Nanomaterials11, 1691. 10.3390/nano11071691 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Safari-Alighiarloo, N., Taghizadeh, M., Rezaei-Tavirani, M., Goliaei, B. & Peyvandi, A. A. Protein-protein interaction networks (PPI) and complex diseases. Gastroenterol. Hepatol. Bed Bench. 7, 17–31 (2014). [PMC free article] [PubMed] [Google Scholar]
- 15.Singh, R. K. & Deora, A. S. An adduct: 5-fluorouracil incorporated β-CD inclusion complex for solubility and stability enhancement in dosage forms. Int. J. Appl. Pharm.2022:286–292. 10.22159/ijap.2022v14i2.43602
- 16.Kondoros, B. A. et al. Ternary cyclodextrin systems of terbinafine hydrochloride inclusion complexes: Solventless preparation, solid-state, and in vitro characterization. Heliyon9, e21416. 10.1016/j.heliyon.2023.e21416 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Nguyen, C-H., Banh, K-S., Dang, C-H., Nguyen, C-H. & Nguyen, T-D. β-cyclodextrin/alginate nanoparticles encapsulated 5-fluorouracil as an effective and safe anticancer drug delivery system. Arab. J. Chem.15, 103814. 10.1016/j.arabjc.2022.103814 (2022). [Google Scholar]
- 18.Sethi, A., Ahmad, M., Huma, T. & Ahmad, W. Pharmacokinetic variables of medium molecular weight cross linked chitosan nanoparticles to enhance the bioavailability of 5-fluorouracil and reduce the acute oral toxicity. Drug Deliv. 28, 1569–1584. 10.1080/10717544.2021.1944398 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bin Jumah, M. N. et al. Insight into the integration effect of chitosan and β-cyclodextrin on the properties of zinc-phosphate/hydroxyapatite hybrid as delivery structures for 5-fluorouracil: loading and release profiles. Front. Chem. 12. 10.3389/fchem.2024.1456057 (2024). [DOI] [PMC free article] [PubMed]
- 20.Elemam, N. M., Al-Jaderi, Z., Hachim, M. Y. & Maghazachi, A. A. HCT-116 colorectal cancer cells secrete chemokines which induce chemoattraction and intracellular calcium mobilization in NK92 cells. Cancer Immunol. Immunother.68, 883–895. 10.1007/s00262-019-02319-7 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Said, A. H., Shaibah Fatma, Moustafa, M. & Elamary, R. B. Plant-mediated nickel oxide nanoparticles show species-dependent antibacterial, antioxidant, anti-inflammatory and antidiabetic activities. Sci. Rep.15, 31096. 10.1038/s41598-025-15951-4 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wang, L. et al. A transcription factor of the < scp>NAC family regulates nitrate-induced legume nodule senescence. New Phytol.238, 2113–2129. 10.1111/nph.18896 (2023). [DOI] [PubMed] [Google Scholar]
- 23.Wiame, I., Remy, S., Swennen, R. & Sági, L. Irreversible Heat Inactivation of DNase I without RNA Degradation. Biotechniques29, 252–256. 10.2144/00292bm11 (2000). [DOI] [PubMed] [Google Scholar]
- 24.Livak, K. J. & Schmittgen, T. D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2 – ∆∆CT Method. Methods25, 402–408. 10.1006/meth.2001.1262 (2001). [DOI] [PubMed] [Google Scholar]
- 25.Du, C. et al. Hypoxia-inducible MiR-182 promotes angiogenesis by targeting RASA1 in hepatocellular carcinoma. J. Experimental Clin. Cancer Res.34, 67. 10.1186/s13046-015-0182-1 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Qiu, J., Lin, X., Zheng, T., Tang, X. & Hua, K. Natural antisense transcript of hypoxia-inducible factor 1 regulates hypoxic cell apoptosis in epithelial ovarian cancer. Onco Targets Ther.11, 9101–9110. 10.2147/OTT.S173816 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Emad, B. et al. Yttrium Oxide nanoparticles induce cytotoxicity, genotoxicity, apoptosis, and ferroptosis in the human triple-negative breast cancer MDA-MB-231 cells. BMC Cancer. 23, 1151. 10.1186/s12885-023-11649-w (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lu, Z. et al. Matrine reduces the proliferation of A549 cells via the p53/p21/PCNA/eIF4E signaling pathway. Mol. Med. Rep.15, 2415–2422. 10.3892/mmr.2017.6331 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Almutairi, B. et al. Investigation of Cytotoxicity Apoptotic and Inflammatory Responses of Biosynthesized Zinc Oxide Nanoparticles from Ocimum sanctum Linn in Human Skin Keratinocyte (Hacat) and Human Lung Epithelial (A549) Cells. Oxid. Med. Cell. Longev.2020, 1–9. 10.1155/2020/1835475 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kim, M-H. et al. Delphinidin inhibits angiogenesis through the suppression of HIF-1α and VEGF expression in A549 lung cancer cells. Oncol. Rep.37, 777–784. 10.3892/or.2016.5296 (2017). [DOI] [PubMed] [Google Scholar]
- 31.Katsiki, A. D. et al. DExplore: An Online Tool for Detecting Differentially Expressed Genes from mRNA Microarray Experiments. Biology (Basel). 13. 10.3390/biology13050351 (2024). [DOI] [PMC free article] [PubMed]
- 32.Cao, F., Cheng, Y-S., Yu, L., Xu, Y-Y. & Wang, Y. Bioinformatics Analysis of Differentially Expressed Genes and Protein–Protein Interaction Networks Associated with Functional Pathways in Ulcerative Colitis. Med. Sci. Monit. 27. 10.12659/MSM.927917 (2021). [DOI] [PMC free article] [PubMed]
- 33.Nepusz, T., Yu, H. & Paccanaro, A. Detecting overlapping protein complexes in protein-protein interaction networks. Nat. Methods. 9, 471–472. 10.1038/nmeth.1938 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kuleshov, M. V. et al. Ma’ayan A. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res.44, W90–W97. 10.1093/nar/gkw377 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Anjum, S. et al. Enhancing therapeutic efficacy: sustained delivery of 5-fluorouracil (5-FU) via thiolated chitosan nanoparticles targeting CD44 in triple-negative breast cancer. Sci. Rep.14, 11431. 10.1038/s41598-024-55900-1 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Tummala, S., Satish Kumar, M. N. & Prakash, A. Formulation and characterization of 5-Fluorouracil enteric coated nanoparticles for sustained and localized release in treating colorectal cancer. Saudi Pharm. J.23, 308–314. 10.1016/j.jsps.2014.11.010 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gala, U. H., Miller, D. A. & Williams, R. O. Harnessing the therapeutic potential of anticancer drugs through amorphous solid dispersions. Biochimica et Biophysica Acta (BBA) -. Reviews Cancer. 1873, 188319. 10.1016/j.bbcan.2019.188319 (2020). [DOI] [PubMed] [Google Scholar]
- 38.Li, H. et al. Novel poly-β-cyclodextrin derivatives as advanced carriers for 5-fluorouracil for tumor: the impact of charge on antitumor efficiency. Transl Cancer Res.9, 4596–4606. 10.21037/tcr-20-1118 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Melnikova, D. L. et al. On Complex Formation between 5-Fluorouracil and β-Cyclodextrin in Solution and in the Solid State: IR Markers and Detection of Short-Lived Complexes by Diffusion NMR. Molecules25, 5706. 10.3390/molecules25235706 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Piotrowska-Kirschling, A. & Brzeska, J. The Effect of Chitosan on the Chemical Structure, Morphology, and Selected Properties of Polyurethane/Chitosan Composites. Polym. (Basel). 12, 1205. 10.3390/polym12051205 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Alizadeh, N. & Nazari, F. Thymol essential oil/ β-cyclodextrin inclusion complex into chitosan nanoparticles: Improvement of thymol properties in vitro studies. J. Mol. Liq. 346, 118250. 10.1016/j.molliq.2021.118250 (2022). [Google Scholar]
- 42.Dongsar, T. T. et al. Emerging potential of 5-Fluorouracil-loaded chitosan nanoparticles in cancer therapy. J. Drug Deliv Sci. Technol.82, 104371. 10.1016/j.jddst.2023.104371 (2023). [Google Scholar]
- 43.Kim, J., Cho, H., Lim, D-K., Joo, M. K. & Kim, K. Perspectives for Improving the Tumor Targeting of Nanomedicine via the EPR Effect in Clinical Tumors. Int. J. Mol. Sci.24, 10082. 10.3390/ijms241210082 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Rejman, J. et al. Some thoughts about the intracellular location of nanoparticles and the resulting consequences. J. Colloid Interface Sci.482, 260–266. 10.1016/j.jcis.2016.07.065 (2016). [DOI] [PubMed] [Google Scholar]
- 45.Mackay, S. E., Malherbe, F. & Eldridge, D. S. Quaternary amine functionalized chitosan for enhanced adsorption of low concentration phosphate to remediate environmental eutrophication. Colloids Surf. Physicochem Eng. Asp. 653, 129984. 10.1016/j.colsurfa.2022.129984 (2022). [Google Scholar]
- 46.Ahmad, K., Zhang, Y., Chen, P., Yang, X. & Hou, H. Chitosan interaction with stomach mucin layer to enhances gastric retention and mucoadhesive properties. Carbohydr. Polym.333, 121926. 10.1016/j.carbpol.2024.121926 (2024). [DOI] [PubMed] [Google Scholar]
- 47.Pochapski, D. J., Carvalho dos Santos, C., Leite, G. W., Pulcinelli, S. H. & Santilli, C. V. Zeta Potential and Colloidal Stability Predictions for Inorganic Nanoparticle Dispersions: Effects of Experimental Conditions and Electrokinetic Models on the Interpretation of Results. Langmuir37, 13379–13389. 10.1021/acs.langmuir.1c02056 (2021). [DOI] [PubMed] [Google Scholar]
- 48.Tiwari, R. et al. Biofunctionalized polymeric nanoparticles for the enhanced delivery of erlotinib in cancer therapy. J. Biomater. Sci. Polym. Ed.36, 817–842. 10.1080/09205063.2024.2429328 (2025). [DOI] [PubMed] [Google Scholar]
- 49.Jafar, M. et al. Formulation of Apigenin-Cyclodextrin-Chitosan Ternary Complex: Physicochemical Characterization, In Vitro and In Vivo Studies. AAPS PharmSciTech. 23, 71. 10.1208/s12249-022-02218-8 (2022). [DOI] [PubMed] [Google Scholar]
- 50.Hu, J. et al. Formation and stabilization mechanism of heterocyclic aroma compounds / β-CD/CS microcapsules. Food Chem. X. 29, 102797. 10.1016/j.fochx.2025.102797 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Li, P., Wang, Y., Peng, Z., She, M. F. & Kong, L. Physichemical property and morphology of 5-fluorouracil loaded chitosan nanoparticles. 2010 International Conference on Nanoscience and Nanotechnology, pp. 248–50. (IEEE, 2010). 10.1109/ICONN.2010.6045203
- 52.Di Donato, C. et al. Alpha- and Beta-Cyclodextrin Inclusion Complexes with 5-Fluorouracil: Characterization and Cytotoxic Activity Evaluation. Molecules21, 1644. 10.3390/molecules21121644 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hameed, A. Z., Raj, S. A., Kandasamy, J., Baghdadi, M. A. & Shahzad, M. A. Chitosan: A Sustainable Material for Multifarious Applications. Polym. (Basel). 14, 2335. 10.3390/polym14122335 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Mok, Z. H. The effect of particle size on drug bioavailability in various parts of the body. Pharm. Sci. Adv.2, 100031. 10.1016/j.pscia.2023.100031 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Patel, D., Patel, C. & Jani, R. Design and evaluation of colon targeted modified pulsincap delivery of 5-fluorouracil according to circadian rhythm. Int. J. Pharm. Investig. 1, 172. 10.4103/2230-973X.85969 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Mohandoss, S. et al. Comparative study of β-cyclodextrin derivatives with amlodipine inclusion complexes for enhanced solubility, drug release, and anticancer activity. Int. J. Pharm. X. 10, 100368. 10.1016/j.ijpx.2025.100368 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Al-Nasrawi, H., Shalan, N., Abualsoud, B. M. & Nsairat, H. Preparation, characterization and in vitro evaluation of 5-fluorouracil loaded into chitosan–acacia gum nanoparticles. Ther. Deliv. 15, 339–353. 10.4155/tde-2023-0136 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Lee, C. M. et al. Hydrogen-Bonding Network and OH Stretch Vibration of Cellulose: Comparison of Computational Modeling with Polarized IR and SFG Spectra. J. Phys. Chem. B. 119, 15138–15149. 10.1021/acs.jpcb.5b08015 (2015). [DOI] [PubMed] [Google Scholar]
- 59.Machado, M., Silva, G. A., Ferreira, J., Pinto, L. A. & Ferreira, Q. Enhancement of the solubility of 5-fluorouracil through encapsulation within β-cyclodextrin to control fibroblast growth in glaucoma surgery. RSC Adv.15, 33522–33530. 10.1039/D5RA03005F (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Khurshid, A. et al. Cyclodextrin-assisted photostabilization of 5-fluorouracil: a combined kinetic and computational investigation. RSC Adv.15, 31194–31209. 10.1039/D5RA05287D (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Abukhadra, M. R., Refay, N. M., El-Sherbeeny, A. M. & El-Meligy, M. A. Insight into the Loading and Release Properties of MCM-48/Biopolymer Composites as Carriers for 5-Fluorouracil: Equilibrium Modeling and Pharmacokinetic Studies. ACS Omega. 5, 11745–11755. 10.1021/acsomega.0c01078 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Ormeño-Martínez, M. et al. Roles of Polymer Concentration and Ionic Strength in the Deposition of Chitosan of Fungal Origin onto Negatively Charged Surfaces. Biomimetics9, 534. 10.3390/biomimetics9090534 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Wan, T., Zhang, Q., Jin, G. & Xu, S. Controlled delivery of 5-fluorouracil from monodisperse chitosan microspheres prepared by emulsion crosslinking. RSC Adv.14, 11311–11321. 10.1039/D4RA01377H (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Sethi, A., Ahmad, M., Huma, T., Khalid, I. & Ahmad, I. Evaluation of Low Molecular Weight Cross Linked Chitosan Nanoparticles, to Enhance the Bioavailability of 5-Flourouracil. Dose-Response 19. 10.1177/15593258211025353 (2021). [DOI] [PMC free article] [PubMed]
- 65.Choukaife, H., Seyam, S., Alallam, B., Doolaanea, A. A. & Alfatama, M. Current Advances in Chitosan Nanoparticles Based Oral Drug Delivery for Colorectal Cancer Treatment. Int. J. Nanomed. 2022;Volume17:3933–3966. 10.2147/IJN.S375229 [DOI] [PMC free article] [PubMed]
- 66.Wang, J. et al. Facile synthesis of chitosan-grafted beta-cyclodextrin for stimuli-responsive drug delivery. Int. J. Biol. Macromol.125, 941–947. 10.1016/j.ijbiomac.2018.12.150 (2019). [DOI] [PubMed] [Google Scholar]
- 67.Desai, N. et al. Chitosan: A Potential Biopolymer in Drug Delivery and Biomedical Applications. Pharmaceutics15, 1313. 10.3390/pharmaceutics15041313 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Elkomy, M. H., Ali, A. A. & Eid, H. M. Chitosan on the surface of nanoparticles for enhanced drug delivery: A comprehensive review. J. Controlled Release. 351, 923–940. 10.1016/j.jconrel.2022.10.005 (2022). [DOI] [PubMed] [Google Scholar]
- 69.Kumar, G. V., Nair, L., Sankar, J. & Nair, S. A. Biological evaluation of 5-fluorouracil nanoparticles for cancer chemotherapy and its dependence on the carrier, PLGA. Int. J. Nanomed.2011:1685. 10.2147/IJN.S20165 [DOI] [PMC free article] [PubMed]
- 70.Hongsa, N., Thinbanmai, T., Luesakul, U., Sansanaphongpricha, K. & Muangsin, N. A novel modified chitosan/collagen coated-gold nanoparticles for 5-fluorouracil delivery: Synthesis, characterization, in vitro drug release studies, anti-inflammatory activity and in vitro cytotoxicity assay. Carbohydr. Polym.277, 118858. 10.1016/j.carbpol.2021.118858 (2022). [DOI] [PubMed] [Google Scholar]
- 71.Aibani, N., Rai, R., Patel, P., Cuddihy, G. & Wasan, E. K. Chitosan Nanoparticles at the Biological Interface: Implications for Drug Delivery. Pharmaceutics13, 1686. 10.3390/pharmaceutics13101686 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Pretel, E. et al. Development of biomedical 5-fluorouracil nanoplatforms for colon cancer chemotherapy: Influence of process and formulation parameters. Int. J. Pharm.530, 155–164. 10.1016/j.ijpharm.2017.07.055 (2017). [DOI] [PubMed] [Google Scholar]
- 73.Sun, L. et al. Preparation of 5-fluorouracil-loaded chitosan nanoparticles and study of the sustained release in vitro and in vivo. Asian J. Pharm. Sci.12, 418–423. 10.1016/j.ajps.2017.04.002 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Li, M. The role of P53 up-regulated modulator of apoptosis (PUMA) in ovarian development, cardiovascular and neurodegenerative diseases. Apoptosis26, 235–247. 10.1007/s10495-021-01667-z (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Pfeffer, C. M. & Singh, A. T. K. Apoptosis: A target for anticancer therapy. Int. J. Mol. Sci.1910.3390/IJMS19020448 (2018). [DOI] [PMC free article] [PubMed]
- 76.Hu, L. et al. Repressing PDCD4 activates JNK/ABCG2 pathway to induce chemoresistance to fluorouracil in colorectal cancer cells. Ann. Transl Med.9, 114–114. 10.21037/atm-20-4292 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Lau, L. F. CCN1/CYR61: the very model of a modern matricellular protein. Cell. Mol. Life Sci.68, 3149–3163. 10.1007/s00018-011-0778-3 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Gu, X-Y. et al. Over-expression of EGFR regulated by RARA contributes to 5-FU resistance in colon cancer. Aging12, 156–177. 10.18632/aging.102607 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Kugimiya, N. et al. The c-MYC‐ABCB5 axis plays a pivotal role in 5‐fluorouracil resistance in human colon cancer cells. J. Cell. Mol. Med.19, 1569–1581. 10.1111/jcmm.12531 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Guo, R. et al. Multifaceted regulatory mechanisms of the EGR family in tumours and prospects for therapeutic applications (Review). Int. J. Mol. Med.56, 1–26. 10.3892/ijmm.2025.5554 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Giraldo, A. et al. Feedback regulation by Atf3 in the endothelin-1-responsive transcriptome of cardiomyocytes: Egr1 is a principal Atf3 target. Biochem. J.444, 343–355. 10.1042/BJ20120125 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Kallioniemi, A. Bone morphogenetic protein 4—a fascinating regulator of cancer cell behavior. Cancer Genet.205, 267–277. 10.1016/j.cancergen.2012.05.009 (2012). [DOI] [PubMed] [Google Scholar]
- 83.Li, S. et al. Down-regulating IL-6/GP130 targets improved the anti-tumor effects of 5-fluorouracil in colon cancer. Apoptosis23, 356–374. 10.1007/s10495-018-1460-0 (2018). [DOI] [PubMed] [Google Scholar]
- 84.Boone, D. N., Qi, Y., Li, Z. & Hann, S. R. Egr1 mediates p53-independent c-Myc–induced apoptosis via a noncanonical ARF-dependent transcriptional mechanism. Proc. Natl. Acad. Sci.108, 632–637. 10.1073/pnas.1008848108 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Inoue, K. & Fry, E. A. Tumor suppression by the EGR1, DMP1, ARF, p53, and PTEN Network. Cancer Invest.36, 520–536. 10.1080/07357907.2018.1533965 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Zhang, X. et al. Double-edged effects of interferons on the regulation of cancer-immunity cycle. Oncoimmunology1010.1080/2162402X.2021.1929005 (2021). [DOI] [PMC free article] [PubMed]
- 87.Sasaki, K. et al. Different impacts of TP53 mutations on cell cycle-related gene expression among cancer types. Sci. Rep.13, 4868. 10.1038/s41598-023-32092-8 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Mazewski, C., Perez, R. E., Fish, E. N. & Platanias, L. C. Type I Interferon (IFN)-Regulated Activation of Canonical and Non-Canonical Signaling Pathways. Front Immunol 2020;11. 10.3389/fimmu.2020.606456 [DOI] [PMC free article] [PubMed]
- 89.Korbecki, J. et al. The CXCL1-CXCR2 Axis as a Component of Therapy Resistance, a Source of Side Effects in Cancer Treatment, and a Therapeutic Target. Cancers (Basel). 17, 1674. 10.3390/cancers17101674 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Li, S., Xie, M., Du, Y. & Tan, Z. Targeting cytokine and chemokine signaling pathways for enhancing chemo-sensitivity in colorectal cancer. Cell. Communication Signal.23, 369. 10.1186/s12964-025-02235-7 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Alam-Faruque, Y. et al. Representing Kidney Development Using the Gene Ontology. PLoS One. 9, e99864. 10.1371/journal.pone.0099864 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Lombardo, Y. et al. Bone Morphogenetic Protein 4 Induces Differentiation of Colorectal Cancer Stem Cells and Increases Their Response to Chemotherapy in Mice. Gastroenterology140, 297–309e6. 10.1053/j.gastro.2010.10.005 (2011). [DOI] [PubMed] [Google Scholar]
- 93.Bhol, N. K. et al. The interplay between cytokines, inflammation, and antioxidants: mechanistic insights and therapeutic potentials of various antioxidants and anti-cytokine compounds. Biomed. Pharmacother.178, 117177. 10.1016/j.biopha.2024.117177 (2024). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data supporting the findings of this study are included within the article. Additional data are available from the corresponding author upon request.













