Abstract
Gastric cancer of young adults is poorly differentiated and has a poor prognosis. However, there are few reports regarding the genetic alteration in gastric cancer of young adults. Bioinformatics methods were used to screen the key genes and signaling pathways of gastric cancer in young adults, and molecular biology techniques were used to verify the key proteins involved in the occurrence and development of gastric cancer in young adults. RNA expression profile microarray data of gastric cancer patients ≤ 45 years old and > 45 years old were downloaded from the TCGA database, and differentially expressed genes were screened by Limma package. GO analysis and KEGG enrichment analysis of DEG were performed in the Gene Function annotation database (DAVID). CytoHubba is used to construct protein interaction networks (PPI) and perform visual analysis to screen out core genes. We obtained 10 hub molecules, including FBXO44, FBXO6, HERC5, FBXL13, FBXO41, NT5E, BMP4, TRIM36, ACAN, ALPL by PPI network with MCODE. Ingenuity Pathway Analysis predicts TBX1, DFNB31, TGFBR3, FBXO44, SLC7A8, DNM1, KITLG, MSH5, MLLT3, DUSP5, ADAMTSL4, ACPP and TBX1 as the transcription factors directly regulated by OTX2. OTX2 had the highest positive expression rate in gastric cancer of young adults by immunohistochemistry. Interference with OTX2 expression inhibits proliferation, migration, invasion and promotes differentiation, apoptosis of NUGC-4 cells (from 35 year old female). Moreover, after interfering OTX2 expression, the downstream proteins and signaling Pathways of OTX2 in NUGC-4 were further analyzed by Transcriptome sequencing and Ingenuity Pathways Analysis. We found interference with OTX2 expression inhibits CEBPB expression and activates calcitriol by IPA analysis, thereby promoting differentiation of NUGC-4. Therefore, OTX2 plays important roles in restraining the differentiation and promoting progression of gastric cancer cells in young adults. Moreover, OTX2/CEBPB signal axis is likely to be a key molecular event in regulating the differentiation of gastric cancer cells in young adults.
Similar content being viewed by others
Introduction
Gastric cancer is one of the most common malignant tumors of the digestive system, ranking second among the causes of cancer death, and its highest incidence is generally in middle-aged and elderly people (over 50 years old)1,2,3,4. In recent years, the incidence and mortality of stomach cancer have gradually decreased, but gastric cancer in young adults (the latest definition of WHO < 45 years old) has been increasing since the 1990s. Gastric cancer of young adults has unique clinical and pathological features: ① Poorly differentiated adenocarcinoma is more common; ② Strong infiltration ability, more likely to metastasize, high malignancy; ③ The disease progresses rapidly and the prognosis is poor5,6,7,8,9,10,11,12. Considering that young adults under the age of 45 are the main spiritual and economic pillar of the family and society, the impact of young gastric cancer patients on the family and society cannot be ignored. Given that little is known about the molecular mechanism of gastric cancer in young adults, and the gene expression is time-specific, the molecular mechanism driving gastric cancer in young adults must be quite different from that in middle-aged and elderly people. Therefore, it is of great clinical and social significance to carry out basic research targeting this characteristic population and explore the specific molecular mechanism of the pathogenesis of gastric cancer in young adults.
In this study, biological information analysis was used to obtain significantly differentially expressed genes in ≤ 45 years old and > 45 years old gastric cancer samples from the TCGA data. GO function annotation and KEGG pathway enrichment analysis were performed on the differentially expressed genes to screen out the differentially expressed genes involved in the occurrence and development mechanism of gastric cancer in young adults. The core genes were selected by constructing protein interaction network, and the key genes and signaling pathways driving the pathogenesis of gastric cancer in young adults were further screened by immunohistochemistry, molecular biology experiments, transcriptional sequencing and IPA analysis.
Materials and methods
Data source, differential expression gene screening and functional enrichment analysis
RNA sequencing data and clinical information of Stomach adenocarcinoma (STAD) project were downloaded from TCGA database by using R package “biolinks”. Patients were divided into two groups, ≤ 45 years old and > 45 years old. ‘limma’’ package in the R was used to identify the differentially expressed genes (DEGs) between the two group samples, with adjusted P value < 0.05 and |log2-fold change (FC)|> 2 as the selection criteria. The volcano maps and heatmaps of DEGs were drawn using the ‘‘ggplot2′’ package and the ‘‘pheatmap’’ package in R respectively.
The “clusterProfiler”, “enrichplot” and “ggplot2″ packages in R were used to perform GO (including Biological Process, Molecular Function, and Cellular Component) and KEGG (including key related pathways). P < 0.05 and adjusted P < 0.05 were set as the thresholds for GO analysis and KEGG analyses. The protein–protein interaction network (PPI) of 10 genes was constructed and the interactions among 10 genes were analyzed by cytoscape software. Important subnetworks were screened for the overall PPI network through Cytohubba function. After sequencing the importance of the genes in the important subnetworks, the 10 most critical hub genes were finally obtained. Core subnetwork analysis using the MCODE plugin and hub gene analysis using the cytohubba plugin. The R package “GSVA” was employed to conduct GO annotation and KEGG analysis. P-value < 0.05 and q-value < 0.05 were selected as criteria for identifying significant enrichment pathways. GSVA was used to assess differences in biological pathways between subtypes. The R package “GSVA” was employed to conduct GO annotation and KEGG analysis. P-value < 0.05 and q-value < 0.05 were selected as criteria for identifying significant enrichment pathways. GSVA was used to assess differences in biological pathways between subtypes.
Patients and samples
We acquired 40 cases of gastric cancer (≤ 45 years old) between January 2019 to December 2023 from Department of Pathology of the Eighth Afliated Hospital, Sun Yat-sen University. The diagnoses were conducted by three professional pathologists.
Cell lines and cell culture
We purchased the human gastric cancer cell line NUGC-4 (from 35 year old female) from the China Center for Type Collection (CCTCC) (Wuhan, China). Cell line was cultured in DMEM (Gibco, CA, USA) medium containing 10% fetal bovine serum (FBS, Sera Gld, Amarica), 100 U/mL of penicillin, and 100 U/ mL of streptomycin. All of the cells were incubated in a humidifed incubator in 5% CO2 in compressed air at 37 °C.
Transfection with small interfering RNA (siRNA)
Homo sapiens OTX2 siRNA was obtained from Guangzhou RiboBio Biological Technology (Guangzhou, China). NUGC-4 cells were seeded at 2 × 105 cells/well in six-well plates. We transfected HeLa and SiHa cells with CD36 siRNA-1(sense strand, 5′- CAUGACCUA UACUCAGGCUTT-3′; antisense, 5′-AGCCUGAGUAUA GGUCAUG TT-3′), CD36 siRNA-2 (sense strand, 5′- GCUUGGAUUAUAAG GACCATT-3′; antisense, 5′- UGGUC CUUAUAAUCCAAGCTT-3′), CD36 siRNA-3 (sense strand, 5′-CUGCUUGGAUUAUAA AGAUTT-3′; antisense, 5′-AUCUUUAUAAUCCAAGCAGT T-3′) or control siRNA (sense strand, 5′- UU CUCCGAACGUGUCACGUTT-3′; antisense, 5′-ACGUG ACACGUUC GGAGA ATT-3′) with Lipo3000 at a final concentration of 100 nM and incubated the cells at room temperature for 15 min. The complex was then added to the culture medium for subsequent experiments.
Transcriptome sequencing and Ingenuity Pathways Analysis
After transfected with OTX2 siRNA in NUGC-4 cells, we further used transcriptome sequencing to investigate the differentially expressed genes and signaling pathways in NUGC-4 cells after OXT2 down-regulation. Transcriptome sequencing is based on Illumina sequencing platform to study all mRNA transcribed by specific tissues or cells in a certain period, which is the basis of gene function and structure research, and plays an important role in understanding the occurrence of gastric cancer in young adults. Ingenuity Pathways Analysis (IPA) could predict upstream drivers of gene expression as well as downstream response effects and identify novel markers associated with the development of gastric cancer in young adults.
Immunohistochemistry
Parafn blocks were cut into 4-μm sections and treated routinely following the reagent instructions. After microwaving in citrate bufer for 5 min, the slides were incubated with anti-OTX2(Proteintech, 13497-1-AP, 1:150 dilution), NT5E (Proteintech, 12231-1-AP, 1:100 dilution), CXCL17 (Proteintech, 18108-1-AP, 1:200 dilution) and FBXO44 (Proteintech, 10626-1-AP, 1:150 dilution) at room temperature. The sections were then incubated with a secondary antibody (Maxim Bio Company, Fuzhou, China), labeling was monitored using diaminobenzidine (Maxim-Bio Company, Fuzhou, China), and hematoxylin was used to stain the sections. We scored expression in accordance with the intensity (0, no staining; 1, weak staining; 2, moderate staining; 3, strong staining), and the percentage of cervical cancer cells that were stained (0, none stained; 1, < 10% stained; 2, 10–50% stained; 3, > 50% stained; 4, > 75% of all of the cervical cancer cells stained). If the product of multiplying staining intensity by the percentage of positively stained cervical cancer cells was ≥ 2, it was regarded as positive (+)
Wound healing assay and trans-well assay
The NUGC-4, NUGC-4/nc-siRNA (control) and NUGC-4/siRNA-OTX2 cells were seeded into 12-well plates at a density of 1 × 105 cells/well. The cells were then scraped with a 200-μL sterile pipette tip when they formed monolayers. After washing the cells three times with PBS, we used serum-free medium for culture, and photographed the cells at 0 and 48 h. We performed the invasion assay using transwell plates (Costar, USA). The NUGC-4, NUGC-4/NC-siRNA (control) and NUGC-4/siRNA-OTX2 cells (each at a density of 1 × 105 cells/well) were added to the upper chamber with 0.2 mL of serum-free RPMI-1640. Then added 0.5 mL of 10% FBS medium to the lower chamber. The cells were allowed to invade for 48 h at 37 °C. After removing the cells on the upper surface of the membrane, we stained cells on the lower aspect with trypan blue.
Colony formation assay and evaluation of cellular apoptosis by Hochest33258
We adjusted the concentrations of NUGC-4, NUGC-4/nc-siRNA (control) and NUGC-4/siRNA-OTX2 cells to appropriate densities, and then inoculated each culture dish with 200 cells at 37 °C, changing the medium every 4 days. After 2 weeks, cells were stained with trypan blue, and numbers of cell colonies were counted using a light microscope.
Samples of each group after treatment were taken, fixed at room temperature for 20 min with 1 mL 4% paraformaldehyde, then the fixing solution was discarded, and washed twice with 1 mL PBS for 3 min each time, then PBS was discarded. Add 1 mL Hoechst 33,258 dyeing solution and stain at room temperature for 5 min. Discard the dyeing solution and wash it with PBS five times. Then we observed under fluorescence microscope.
Ethical clearance
The study was approved by the Institutional Research Ethics Board of the Eighth Afliated Hospital, Sun Yat-sen University and all methods were performed by relevant guidelines and regulations.
Informed consent
Informed consent was obtained from all subjects and/or their legal guardians involved in the study.
Statistical analysis
All statistical analyses were conducted using SPSS 17.0 (SPSS, Inc., Chicago, IL, USA). We performed experiments in triplicate, and data are presented as mean ± SEM. Data from two groups were analyzed by unpaired t tests; and, if more than two groups, by oneway ANOVA. A P value of < 0.05 was considered statistically significant.
Results
Significantly mutated genes in gastric cancer of young adults
We performed differential analysis of genes with young patients (≤ 45 years old, n = 16) versus those aged (> 45 years old, n = 355) based on TCGA data sets and plotted volcano. The volcano plot (Fig. 1A) showing differentially expressed 282 genes (includes 69 upregulated genes and 213 downregulated genes) in number identified in the gene expression profiling of the young patient group compared with the older group. The top 10 up-regulated genes were PIK3C2G, CXCL17, VSIG1, OLFM4, GATA5, SLC7A8, SUSD4, SPTSSB, IGFBP2 and FCGBP. Then, a total of 69 differentially expressed genes were used to construct the protein–protein interaction (PPI) network to identify hub genes. Further analysis of the PPI network with MCODE, we obtain 10 hub molecules, including FBXO44, FBXO6, HERC5, FBXL13, FBXO41, NT5E, BMP4, TRIM36, ACAN, ALPL (Fig. 1E).
(A) The volcano plot identified in the gene expression profiling of the young patient group compared with the older group; (B) The significant biological process of these differentially expressed genes involved in regulation of cell morphogenesis and extracellular structure; (C) The top 15 functionally enriched pathways were analysis by KEGG; (D) GO Chord plot displays the relationship between a list of pathway and corresponding genes; (E) Ten hub molecules were found by MCODE analysis; (F) Using Cytoscape, we also found 10 hub molecules; (G) Ingenuity Pathway Analysis predicts TBX1, DFNB31, TGFBR3, FBXO44, SLC7A8, DNM1, KITLG, MSH5, MLLT3, DUSP5, ADAMTSL4, ACPP and TBX1 as the transcription factors directly regulated by OTX2; (H) Using sequence logo to predicted the OTX2 binding sites with DBD.
CytoHubba (a Cytoscape plugin that ranks nodes in a network based on network characteristics) was used to analyze the core nodes of the PPI network, and maximal clique centrality (MCC) algorithm was used to obtain the interaction network of top10 core genes, including TRIM36, FBXO41, FBXL13, HERC5, FBXO6, FBXO44, NT5E, ACAN, ALPL, BMP4 (Fig. 1F).
Altered pathways in gastric cancer of young adults
The functions of these differentially expressed genes were annotated and predicted by the analysis of Gene Ontology (GO) based on three parts: Biological Process (BP), Cellular Component (CC) and Molecular Function (MF). Of them, the significant BPs were mainly involved in regulation of cell morphogenesis and extracellular structure and so on (Fig. 1B). The significant CCs were mainly related to extracellular matrix, axon part and transmembrane transporter complex. The significant MFs were mainly involved in metal ion transmembrane transporter and potassium ion transmembrane transporter activity. GO Chord plot displays the relationship between a list of pathway and corresponding genes. The GO Chord plot (Fig. 1D) shows 45 DEGs related to the 8 pathways associated exhibiting enrichment in the presented order level. KEGG analysis (Fig. 1C) showed that several functional pathways were enriched, and the top 15 functionally enriched KEGG pathways were analysis. Pathways highly correlated with the aberrantly expressed proteins included phospholipase D signaling pathway, synaptic vesicle cycle, protein digestion and absorption, Neurotrophin signaling pathway and so on. In order to identify the common regulon (a transcription factor (TF) and its direct transcriptional targets, which contain common TF binding sites), we use the iRegulon cytoscape plugin. Ingenuity Pathway Analysis predicts the transcription factors and co-factors that may regulate a list of genes. This analysis revealed TBX1, DFNB31, TGFBR3, FBXO44, SLC7A8, DNM1, KITLG, MSH5, MLLT3, DUSP5, ADAMTSL4 and ACPP as the transcription factors directly regulated by OTX2 (Fig. 1G). We use sequence logo to predicted the OTX2 binding sites with DBD (Fig. 1H). The height of the stack indicates the sequence conservation at that position, while the height of symbols within the stack indicates the relative frequency of each amino acid at that position.
Immunohistochemistry determined the expressions of OTX2, NT5E, CXCL17 and FBXO44
Signet-ring cell carcinoma is more common in gastric cancer of young adults (Fig. 2A–B). Immunohistochemistry was performed to determine whether a correlation exists between the expressions of OTX2, NT5E, CXCL17, FBXO44 and gastric cancer of young adults in 40 paraffin-embedded samples. Results indicated that OTX2 expression was present in the cytoplasm and nucleus of gastric cancer cells (Fig. 2C–F). However, normal gastric mucosa epithelial cells adjacent to tumor tissues did not show OTX2 immunoreactivity (Fig. 2 M–P). Among the 40 samples in our study, immunoreactivity of OTX2 was detected in 92.5% (37/40) cases. NT5E immunoreactivity was detected in 35.0% (14/40) of the samples, of which five samples had strong NT5E labeling. NT5E expression was present in the cytoplasm of gastric cancer cells (Fig. 2G–H). In addition, CXCL17 and FBXO44 expression was observed in the cytoplasm of gastric cancer cells. However, in 40 samples, only nine and twelve cases showed CXCL17 (Fig. 2I–J) and FBXO44 (Fig. 2 K–L) immunoreactivity respectively.
(A–B) Signet-ring cell carcinoma is common in gastric cancer of young adults; (C–D, E–F) OTX2 expression was present in the cytoplasm and nucleus of gastric cancer cells of young adults; (G–H) NT5E expression was present in the cytoplasm of gastric cancer cells; (I–J) CXCL17expression was present in the cytoplasm of gastric cancer cells; (K–L) FBXO44 was present in the cytoplasm of gastric cancer cells. (M–N, O–P) OTX2 expression was negative in the normal gastric tissues of young adults.
Interference with OTX2 expression inhibits proliferation, migration, invasion and promotes differentiation, apoptosis of NUGC-4 cells
To further investigate the efects of OTX2 expressionon on biologic processes in gastric cancer cells of young adults, we used a series of molecular biology experiments after downregulated OTX2 expression in NUGC-4 cells. As shown in Fig. 3A–C, we found that the morphology of some NUGC-4 cells changed from round to spindle cells after interference with OTX2 expression, suggesting OTX2 may be correlated with promoting differentiation of NUGC-4 cells. Compared with SiRNA1 and SiRNA3, SiRNA2 had the best effect on interfering OTX2 expression (Fig. 3S). Colony formation assays and Hoechst 33258 were used to examine the proliferative and apoptotic efects of OTX2 in NUGC-4 cells. Our results revealed that interference of NUGC-4 expression attenuated colony formation in NUGC-4 cells (Fig. 3D–F, T). Knocking-down expression of OTX2 increased the rate of apoptosis of NUGC-4 cells (Fig. 3G–I). NUGC-4 cells-transfected OTX2 siRNA-2 were used to ascertain the efects of OTX2 on invasion and migration of NUGC-4 cells by trans-well and wound-healing assays. Compared with cells transfected with control siRNA (NC-siRNA), interference of OTX2 expression markedly inhibited the invasion of NUGC-4 cells (Fig. 3J–L, U). Similarly, interference of OTX2 expression by siRNA inhibited migration of NUGC-4 cells (Fig. 3M–R, V). Therefore, our evidence verifed the important role for OTX2 in the promotion of NUGC-4 cells migration and invasion in vitro.
The efects of OTX2 expressionon on biologic processes in NUGC-4 cells after downregulated OTX2 expression. (A–C) The morphology of some NUGC-4 cells changed from round to spindle cells after interference with OTX2 expression; (D–F, T) Interference of NUGC-4 expression attenuated colony formation in NUGC-4 cells. (*P < 0.05); (S) Compared with SiRNA1 and siRNA3, siRNA2 had the best effect on interfering OTX2 expression. The upper bands represent OTX2 expression levels. The bands below represent β-actin expression levels. (G–I, V) Knocking-down expression of OTX2 increased the rate of apoptosis of NUGC-4 cells (*P < 0.05); (J–L, U) Compared with cells transfected with control siRNA (NC-siRNA), interference of OTX2 expression markedly inhibited the invasion of NUGC-4 cells; (M–R) Interference of OTX2 expression by siRNA inhibited migration of NUGC-4 cells.
Interference with OTX2 expression inhibits CEBPB and activates calcitriol might promotes differentiation of gastric cancer cells of young adults by IPA analysis
To further study the effects of OTX2 on gastric cancer cells of young adults, We performed transcriptome sequencing of NUGC-4/siRNA-OTX2 cells and control cells using the Illumina sequencing platform and Ingenuity Pathways Analysis (IPA). Do (Disease Ontology) enrichment analysis showed that the signaling pathways associated with germ cell cancer and embryonal cancer were significantly correlated with the down-regulation of OTX2 expression (Fig. 4A). KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis showed that signaling pathways related to DNA replication and cell cycle were associated with down-regulation of OTX2 expression (Fig. 4B). Classical pathway analysis based on IPA showed that the signaling pathway of Cell Cycle Control of Chromosomal Replication was significantly inhibited after inhibition of OTX2 expression (z-score:-4.123) (Fig. 4C). Graphic summary based on IPA also showed that CEBPB was significantly inhibited (Fig. 4D). Upstream regulatory factor analysis suggested that CEBPB was predicted to be strongly repressed, and there were 52 consistently repressed genes after inhibition of OTX2 expression (Fig. 4E). Moreover, we confirmed that CEBPB expression was decreased in NUGC-4/siRNA-OTX2 cells by using Western blot (Fig. 4F). The above results suggest OTX2/CEBPB signal axis may be involved in the development of gastric cancer in young adults.
(A) Disease Ontology enrichment analysis showed that the signaling pathways associated with germ cell cancer and embryonal cancer were correlated with the down-regulation of OTX2 expression; (B) KEGG enrichment analysis showed that signaling pathways related to DNA replication and cell cycle were associated with down-regulation of OTX2 expression; (C) Cell cycle Control of Chromosomal Replication was significantly inhibited after inhibition of OTX2 expression; (D) IPA showed that CEBPB was significantly inhibited; (E) CEBPB was predicted to be strongly repressed, and there were 52 consistently repressed genes after inhibition of OTX2 expression; (F) CEBPB expression was decreased in NUGC-4/siRNA-OTX2 cells.
Discussion
As a special type of gastric cancer, the incidence of gastric cancer in young adults had gradually increased in recent years, which had brought great negative impact on society and family. Blair et al. reported that gastric cancer in young adults had obvious genetic heterogeneity13. Part of gastric cancer in young adults is hereditary diffuse gastric cancer, which is closely related to germline mutations. The common molecular types of gastric cancer in young adults are EBV positive type and genome stable type14. CDH1 and CTNNA1 remain as the main genes for hereditary gastric cancer15. However, they only explain a small fraction of gastric cancer cases in young adults with suspected inherited basis. It can be seen that gastric cancer in young adults is more malignant and has unique clinical and molecular pathological characteristics.
In recent years, with the rapid development of gene chip technology, bioinformatics analysis has been increasingly used to find new therapeutic targets for various cancers to achieve prognosis evaluation and accurate diagnosis and treatment of malignant tumors16,17,18,19,20,21. This study analyzed the expression profiles of gastric cancer gene chip data of ≤ 45 years old and > 45 years old gastric cancer samples from the TCGA database to obtain significant differentially expressed genes between them, including 69 up-regulated genes and 213 down-regulated genes. In addition, the enrichment of GO and KEGG pathways of the two differential genes was also analyzed to elucidate the main functions and modes of action of the differential genes.
Using PPI network, we obtained 10 hub genes: FBXO44, FBXO6, HERC5, FBXL13, FBXO41, NT5E, BMP4, TRIM36, ACAN, ALPL. Using Cytoscape, we obtained another 10 hub genes: TRIM36, FBXO41, FBXL13, HERC5, FBXO6, FBXO44, NT5E, ACAN, ALPL, BMP4. Enrichment analysis of KEGG pathway found that the above genes were involved in phospholipase D signaling pathway, synaptic vesicle cycle, protein digestion and absorption, Neurotrophin signaling pathway is highly enriched. IPA(Ingenuity Pathway Analysis) predicts transcription factors: TBX1, DFNB31, TGFBR3, FBXO44, SLC7A8, DNM1, KITLG, MSH5, MLLT3, DUSP5, ADAMTSL4, ACPP and TBX1 directly regulated by OTX2.
We selected OTX2, NT5E, CXCL13 and FBXO44 as the study objects. Through immunohistochemistry, OTX2 protein with the highest positive expression rate in young gastric cancer specimens was selected as the study objects for subsequent experiments. The results of cytological function experiments showed that OTX2 can promote the morphological differentiation of NUGC-4 cells. Moreover, OTX2 could promote the proliferation, invasion, migration and inhibit apoptosis of NUGC-4 cells. Similar to the results of this study, OTX2 is also an oncogene that promotes medulloblastoma growth22. OTX2 silencing modulates the repressive chromatin landscape, decreases levels of PRC2 complex genes and increases the expression of neurodevelopmental transcription factors22. The common feature of medulloblastoma and young gastric cancer is the relatively young age of patients, OTX2 may also play a key role in the occurrence and development of young gastric cancer. Peng et al.23,24 found that methylation of the CGI Shore in the p16 non-promoter region can hamper the transcriptional activity of OTX2, leading to a reduction in the expression of p16, which might contribute to the development of lung cancer. Zheng et al.25 also found that OTX2 expression was an independent prognostic factor for lung squamous cell carcinoma. These findings demonstrated that OTX2 plays an important role in the occurrence and development of a variety of tumors.
In order to further study the signaling pathway downstream of OTX2, this study took NUGC-4 gastric cancer cells as the research object by using Illumina sequencing platform and Ingenuity Pathways Analysis (IPA). After interfering the expression of OTX2, we explore the downstream genes and signaling pathways regulated by OTX2. Our study found that the Chromosomal Replication and Cell Cycle Control signaling pathways were significantly inhibited after inhibition of OTX2 expression. Graphic summary based on IPA also showed that CEBPB was significantly inhibited. Western blot further confirmed that silencing OTX2 expression in NUGC-4 cells could also reduce CEBPB expression. It has been reported that CEBPB can induce differentiation of acute promyelocytic leukemia cells26. GALM, ITPR2 and ORM2 may be downstream target genes of the transcription factor CEBPB26. One of the characteristics of gastric cancer in young adults is poor differentiation of cancer cells. Therefore, this study suggests that OTX2 inhibits the differentiation and promotes progression of NUGC-4 cells by regulating CEBPB and its downstream factors.
In conclusion, through bioinformatics analysis, molecular biology experiments, transcriptional sequencing and IPA analysis, this study found that OTX2 plays an important role in restraining the differentiation and promoting progression of gastric cancer cells in young adults. Moreover, OTX2/CEBPB signal axis is likely to be a key molecular event in regulating the differentiation of gastric cancer cells in young adults. This study providing an important molecular target and experimental basis for clinical prevention and treatment of gastric cancer in young adults.
Data availability
The datasets generated and analysed during the current study are not publicly available due the data contains patient information but are available from the corresponding author on reasonable request.
References
Tang, W. Z. et al. Prevalence and unfavorable outcome of frailty in older adults with gastric cancer: A systematic review and meta-analysis. Support Care Cancer 32, 115 (2024).
Jia, X. et al. Global burden of stomach cancer attributable to smoking from 1990 to 2019 and predictions to 2044. Public Health 226, 182–189 (2024).
Huang, B. et al. Epidemiology, risk areas and macro determinants of gastric cancer: A study based on geospatial analysis. Int. J. Health Geogr. 22, 32 (2023).
Yang, Q. et al. Global, regional, and national burden of gastric cancer in adolescents and young adults, 1990–2019: A systematic analysis for the global burden of disease study 2019. Am. J. Gastroenterol. 119, 454–467 (2023).
Krishnamoorthi, N. et al. Aggressive histology and extensive metastasis characteristic of very young gastric gancer (less than 30 years): A retrospective clinical audit. South Asian J. Cancer 12, 326–333 (2023).
Namikawa, T. et al. Long-Term survival of an adolescent and young adult patient with unresectable advanced gastric cancer in whom multidisciplinary treatment was effective. Gan To Kagaku Ryoho 50, 1985–1987 (2023).
Namikawa, T. et al. Gastric cancer with Fanconi anemia in adolescent and young adult patient diagnosed by comprehensive genome profiling using next-generation sequencing. Clin. J. Gastroenterol. 17, 12–17 (2024).
Chu, H. et al. Clinicopathological characteristics and prognosis of adolescents and young adults with gastric cancer after gastrectomy: A propensity score matching analysis. Front. Oncol. 13, 1204400 (2023).
Liu, L et al. Analysis of clinicopathologic characteristics and prognosis of gastric cancer in patients < 40 years. Medicine 102, e34635 (2023).
Zhang, Z. et al. The global, regional, and national burden of stomach cancer among adolescents and young adults in 204 countries and territories, 1990–2019: A population-based study. Front. Public Health 11, 1079248 (2023).
Kim, Y. H. Comparisons of pathologic findings and outcomes of gastric cancer patients younger and older than 40: A propensity score matching study in a single center of Korea. JGH Open 7, 118–127 (2023).
Afify, A. Y. Incidence trends of gastric cancer among adolescents and young adults. J. Gastroenterol. Hepatol. 38, 337 (2023).
Blair, V. R. et al. Hereditary diffuse gastric cancer: updated clinical practice guidelines. Lancet Oncol. 21, e386–e397 (2020).
Corso, G. et al. E-cadherin genetic screening and clinicopathologic characteristics of early onset gastric cancer. Eur. J. Cancer 47, 631–639 (2011).
Herrera-Pariente, C. et al. CTNND1 is involved in germline predisposition to early-onset gastric cancer by affecting cell-to-cell interactions. Gastric Cancer 27, 747–759 (2024).
Shao, L. et al. A bioinformatic analysis found low expression and clinical significance of ATF4 in breast cancer. Heliyon 10, e24669 (2024).
Hakami, M. A. Ras-related associated with diabetes genes for biomarker-based therapeutics in cancer: A comparative evolutionary genomic study. Saudi Med. J. 45, 111–120 (2024).
Wang, H. et al. Identification and preliminary analysis of hub genes associated with bladder cancer progression by comprehensive bioinformatics analysis. Sci. Rep. 14, 2782 (2024).
Wang, R. et al. BNIPL is a promising biomarker of laryngeal cancer: Novel insights from bioinformatics analysis and experimental validation. BMC Med. Genomics 17, 45 (2024).
Stem Cells International. Retracted: Bioinformatic analysis of PTTG family and prognosis and immune cell infiltration in gastric cancer. Stem Cells Int. 2024, 9896574 (2024).
Zhang, Y. et al. Prognostic significance of cyclin-dependent kinase subunit 2 (CKS2) in malignant tumours: A meta-analysis and bioinformatic analysis. BMJ Open 14, e073887 (2024).
Zagozewski, J. et al. An OTX2-PAX3 signaling axis regulates Group 3 medulloblastoma cell fate. Nat. Commun. 11, 3627 (2020).
Peng, H. et al. The transcription activity of OTX2 on p16 expression is significantly blocked by methylation of CpG shore in non-promoter of lung cancer cell lines. Transl. Cancer Res. 12, 2582–2595 (2023).
Sivagurunathan, S. et al. PIWI-like protein, HIWI2 is aberrantly expressed in retinoblastoma cells and affects cell-cycle potentially through OTX2. Cell Mol. Biol. Lett. 22, 17 (2017).
Zheng, R. et al. Identification of a prognostic long noncoding RNA signature in lung squamous cell carcinoma: A population-based study with a mean follow-up of 3.5 years. Arch. Public Health 79, 61 (2021).
Yu, L. et al. Identification of target genes of transcription factor CEBPB in acute promyelocytic leukemia cells induced by all-trans retinoic acid. Asian Pac. J. Trop. Med. 6, 473–480 (2013).
Funding
This work was supported by Henan Province level science and technology research and development plan joint fund project (No.222103810047), Luoyang public welfare industry medical and health special (No.2202004A) and Key scientific research project plan of colleges and universities in Henan Province (22A320033) and Guangdong Provincial Basic and Applied Basic Research Foundation Project (2025A1515011028) and Henan Province program for high level Foreign Expert (HNGD2025014).
Author information
Authors and Affiliations
Contributions
J.Z. and C.Z. conceptualization. J.Z. and T.L. data curation and original draft writing. Y.G. and L.X., statistical analysis. T.L., Y.G., L.X., Y.A. and Y.X. performed the experiments. J.Z., Y.X. and C.Z. manuscript review and editing. All authors contributed to the article and approved the submitted version.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Zhai, J., Lyu, T., Guo, Y. et al. OTX2 expression contributes progression of gastric cancer in young adults. Sci Rep 15, 16146 (2025). https://doi.org/10.1038/s41598-025-99632-2
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-025-99632-2