Objective To introduce the inflammatory microenvironment and epithelial-mesenchymal transition process of hepatocellular carcinoma, and review the relationship between them. Methods Domestic and international literatures were collected to summary the relationship between epithelial-mesenchymal transition and the inflammatory microenvironment of hepatocellular carcinoma. Result Many inflammatory factors and viral gene encoding proteins in the inflammatory microenvironment play an important role in the process of epithelial-mesenchymal transition in hepatocellular carcinoma. Conclusions The inflammatory microenvironment of hepatocellular carcinoma is an indispensable role in the process of epithelial-mesenchymal transition. The inhibition and treatment of inflammatory microenvironment may play a more active role in the control of tumor invasion and metastasis.
ObjectiveTo summarize the research progress of hepatocellular carcinoma (HCC) based on tumor microenvironment immunophenotyping.MethodThe related literatures of basic and clinical studies on HCC immunophenotyping in the recent years were reviewed.ResultsHCC could be divided into different immunophenotypes based on tumor microenvironment, and it showed different immune molecular characteristics, immune cell infiltration characteristics, and anti-tumor ability. At the same time, the HCC immunophenotype was significantly associated with patients’ survival and had been proved to be able to better evaluate the prognosis of HCC patients. According to the relevant molecular characteristics in the HCC immune microenvironment, it could provide guidance for the drug regimen of immunotherapy.ConclusionHCC immunophenotyping is still in the early stage of research, and its clinical application value has been preliminarily shown for the evaluation of patients’ prognosis and immunotherapy decision-making, which is a new idea of individualized treatment of HCC in the future.
ObjectiveTo summarize the relationship between integrins, tumor metabolism, and tumor cells with pancreatic stellate cells in the tumor microenvironment, in order to provide targets and ideas for the treatment of pancreatic ductal adenocarcinoma.MethodTo review the literatures on pancreatic stellate cells, integrins, and amino acid metabolism as therapeutic targets for pancreatic ductal adenocarcinoma in the domestic and overseas.ResultsThe drug research for pancreatic ductal adenocarcinoma was currently under vigorous development, but remain in the animal and clinical test stage. As a new therapeutic protein, ProAgio could inhibit the expression of integrin αvβ3, activation and secretion of pancreatic stellate cells, and alanine metabolism in the microenvironment of pancreatic ductal adenocarcinoma, so as to achieve the dual effects of anti-fibrosis and anti-tumor.ConclusionsThe roles of activated pancreatic stellate cells, ProAgio, integrin αvβ3, and alanine metabolism in pancreatic ductal adenocarcinoma have been partially elucidated, but the specific mechanism still needs further investigation and may become a completely new therapeutic target someday.
ObjectiveTo construct a prognostic model of esophageal squamous cell carcinoma (ESCC) based on immune checkpoint-related genes and explore the potential relationship between these genes and the tumor microenvironment (TME). Methods The transcriptome sequencing data and clinical information of immune checkpoint genes of samples from GSE53625 in GEO database were collected. The difference of gene expression between ESCC and normal paracancerous tissues was evaluated, and the drug sensitivity of differentially expressed genes in ESCC was analyzed. We then constructed a risk model based on survival-related genes and explored the prognostic characteristics, enriched pathway, immune checkpoints, immune score, immune cell infiltration, and potentially sensitive drugs of different risk groups. ResultsA total of 358 samples from 179 patients were enrolled, including 179 ESCC samples and 179 corresponding paracancerous tissues. There were 33 males and 146 females, including 80 patients≤60 years and 99 patients>60 years. 39 immune checkpoint genes were differentially expressed in ESCC, including 14 low expression genes and 25 high expression genes. Drug sensitivity analysis of 8 highly expressed genes (TNFRSF8, CTLA4, TNFRSF4, CD276, TNFSF4, IDO1, CD80, TNFRSF18) showed that many compounds were sensitive to these immunotherapy targets. A risk model based on three prognostic genes (NRP1, ICOSLG, HHLA2) was constructed by the least absolute shrinkage and selection operator analysis. It was found that the overall survival time of the high-risk group was significantly lower than that of the low-risk group (P<0.001). Similar results were obtained in different ESCC subtypes. The risk score based on the immune checkpoint gene was identified as an independent prognostic factor for ESCC. Different risk groups had unique enriched pathways, immune cell infiltration, TME, and sensitive drugs. Conclusion A prognostic model based on immune checkpoint gene is established, which can accurately stratify ESCC and provide potential sensitive drugs for ESCC with different risks, thus providing a possibility for personalized treatment of ESCC.
ObjectiveTo understand the single-cell RNA sequencing (scRNA-seq) and its research progress in the tumor microenvironment (TME) of breast cancer, in order to provide new ideas and directions for the research and treatment of breast cancer. MethodThe development of scRNA-seq technology and its related research literature in breast cancer TME at home and abroad in recent years was reviewed. ResultsThe scRNA-seq was a quantum technology in high-throughput sequencing of mRNA at the cellular level, and had become a powerful tool for studying cellular heterogeneity when tissue samples were fewer. While capturing rare cell types, it was expected to accurately describe the complex structure of the TME of breast cancer. ConclusionsAfter decades of development, scRNA-seq has been widely used in tumor research. Breast cancer is a malignant tumor with high heterogeneity. The application of scRNA-seq in breast cancer research can better understand its tumor heterogeneity and TME, and then promote development of personalized diagnosis and treatment.
ObjectiveTo summarize the latest research progress and related mechanisms of cancer-associated fibroblasts (CAFs) in invasion, metastasis and drug resistance of breast cancer, so as to seek the best treatment strategy for patients with breast cancer metastasis and drug resistance. MethodThe literatures about CAFs research in breast cancer in recent years were searched and summarized. ResultsCAFs was the main stromal cell in tumor microenvironment (TME). By changing TME, the biological characteristics of CAFs could be changed and the growth and invasion of breast cancer cells could be induced. CAFs in breast cancer promotes the invasion and metastasis of breast cancer cells by interacting with inflammatory factors and promoting the formation of pre-transplantation ecosystems, and CAFs also mediates chemotherapy resistance to breast cancer, target resistance, endocrine resistance, and radiation resistance through the secretion of various cellular factors. ConclusionsAt present, some progress has been made in the research of CAFs in breast cancer, but there is still a certain gap to clinical application CAFs has a variety of functional phenotypes, so it is necessary to identify and characterize specific CAFs subtypes when studying new anti-CAFs therapeutic strategies. It has been proved that CAFs has great potential as a specific target for breast cancer treatment, but CAFs still lacks specific biomarkers. Therefore, an in-depth understanding of the biological characteristics and heterogeneity of CAFs can provide a reliable theoretical basis for developing drugs targeting CAFs.
ObjectiveTo investigate the effect of Wnt5a derived from tumor-associated fibroblasts （CAFs） on the migration and invasion of gastric cancer cells. MethodsThe differentially expressed genes Wnt5a between CAFs and normal gastric fibroblasts (NGFs) in gastric cancer tissues and their corresponding normal gastric tissues using the GEO database GSE194261 dataset were screened. Immunohistochemical method was used to detect the expression of Wnt5a protein in tissue samples of clinical gastric cancer patients, and the relationship between Wnt5a protein expression and clinicopathological features of gastric cancer was analyzed. CAFs and NGFs were extracted from fresh surgical specimens of gastric cancer patients, and the expression of Wnt5a in CAFs was detected by real-time fluorescence quantitative-polymerase chain reaction and Western blot experiment. Transwell invasion and migration experiment was used to observe the effects of CAFs, inhibition of Wnt5a expression in CAFs and different concentrations of recombinant Wnt5a protein on the migration and invasion ability of gastric cancer MGC-803 and MKN-28 cell lines in vitro. ResultsThrough the screening of GEO database GSE194261 data set, it was found that Wnt5a was more expressed in CAFs than NGFs (P<0.05). Immunohistochemical results showed that the expression of Wnt5a protein in gastric cancer tissues was significantly stronger than that in normal gastric tissues (P<0.05), and the expression of Wnt5a protein was related to T stage of tumor (χ2=5.035, P<0.05), but not related to gender, age, degree of tumor differentiation, lymph node metastasis, vascular invasion and nerve invasion (P>0.05). Inhibiting Wnt5a derived from CAFs could inhibit the invasion and migration of gastric cancer cells. By stimulating gastric cancer cells with different concentrations of human recombinant Wnt5a protein, it was found that when the concentration of human recombinant Wnt5a protein was greater than 100 ng/mL, the invasion and migration abilities of MGC-803 and MKN-28 gastric cancer cells were significantly increased (P<0.05). ConclusionWnt5a is highly expressed in CAFs derived from the interstitial tissue of gastric cancer, which is related to the invasion depth of gastric cancer and can promote the invasion and migration of gastric cancer cells.
Objective To investigate the relationship between the expression of mast cell expressed membrane protein 1 (MCEMP1) in gastric cancer and its relationship with prognosis and tumor immune infiltration. Methods Transcriptome expression profile data and clinical data information of gastric cancer and normal samples were downloaded from TCGA database, and differentially expressed genes in gastric cancer tumor microenvironment were extracted using R 4.0.5 software. Protein-protein interaction network of differentially expressed genes was constructed by using STRING online website, protein-protein interaction network and univariate Cox proportional hazards regression analysis were used for cross-tabulation analysis to obtain key genes. Kruskal-Wallis rank sum test was used to investigate the correlation between key genes and clinicopathological features. The possible signaling pathways involved in key genes were predicted by gene set enrichment analysis. We further analyzed the relationship between expression of key gene and the level of immune infiltration and immune molecules in gastric cancer by TISIDB online database and CIBERSORT algorithm. Results A total of 760 differentially expressed genes in gastric cancer were found and a key gene of MCEMP1 was derived from cross-tabulation analysis based on the results of protein-protein interaction network and univariate Cox proportional hazards regression analysis. Expression of MCEMP1 was significantly upregulated in gastric cancer tissues (P<0.001), and survival analysis showed that the overall survival rate of the group with high expression level of MCEMP1 was lower than that of low expression [HR=1.176, 95%CI (1.066, 1.297）, P=0.046]. Expression of MCEMP1 also correlated with age, T-stage, and clinical stage of gastric cancer (P<0.05) , and expression of MCEMP1 was significantly associated with a variety kinds of immune cells and expression of immune molecules (P<0.05). Conclusion MCEMP1 is a potential prognostic marker for gastric cancer and is associated with immune infiltration in gastric cancer.
ObjectiveTo analyze the correlation between the molecular biological information of SMARCA4-deficient non-small cell lung cancer (SMARCA4-dNSCLC) and its clinical prognosis, and to explore the spatial features and molecular mechanisms of interactions between cells in the tumor microenvironment (TME) of SMARCA4-dNSCLC. MethodsUsing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), this study conducted functional enrichment analysis on differentially expressed genes (DEGs) in SMARCA4-dNSCLC and depicted its genomic variation landscape. Through weighted gene co-expression network analysis (WGCNA) and a combination of 10 different machine learning algorithms, patients in the training group were divided into a low-risk group and a high-risk group based on a median risk score (RiskScore). A corresponding prognostic prediction model was established, and on this basis, a nomogram was constructed to predict the 1, 3, and 5-year survival rates of patients. K-M survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model. External datasets from GEO further validated the prognostic value of the prediction model. In addition, we also evaluated the immunological characteristics of the TME of the prognostic model. Finally, using single-cell RNA sequencing (scRNA-seq) and spatial transcriptome (ST), we explored the spatial features of interactions between cells in the TME of SMARCA4-dNSCLC, intercellular communication, and molecular mechanisms. ResultsA total of 56 patients were included in the training group, including 38 males and 18 females, with a median age of 62 (56-70) years. There were 28 patients in both the low-risk and high-risk groups. A total of 474 patients were included in the training group, including 265 males and 209 females, with a median age of 65 (58-70) years. A risk score model composed of 8 prognostic feature genes (ELANE, FSIP2, GFI1B, GPR37, KRT81, RHOV, RP1, SPIC) was established. Compared with patients in the low-risk group, those in the high-risk group showed a more unfavorable prognostic outcome. Immunological feature analysis revealed differences in the infiltration of various immune cells between the low-risk and high-risk groups. ScRNA-seq and ST analyses found that interactions between cells were mainly through macrophage migration inhibitory factor (MIF) signaling pathways (MIF-CD74+CXCR4 and MIF-CD74+CD44) via ligand-receptor pairs, while also describing the niche interactions of the MIF signaling pathway in tissue regions. ConclusionThe 8-gene prognostic model constructed in this study has certain predictive accuracy in predicting the survival of SMARCA4-dNSCLC. Combining the ScRNA-seq and ST analyses, cell-to-cell crosstalk and spatial niche interaction may occur between cells in the TME via the MIF signaling pathway (MIF-CD74+CXCR4 and MIF-CD74+CD44).
ObjectiveTo explore the changes of cytokines in the tumor microenvironment of colorectal cancer and the relationship between the expression of CD16a mRNA and cytokines in the microenvironment.MethodsRT-PCR and flow cytometry microsphere array (CBA) were used to detect the expressions of CD16a mRNA, as well as cytokines of Th1 ［interleukin (IL)-2, IL-12, and interferone-γ (IFN-γ)］, Th2 (IL-4, IL-6, and IL-10), tumor necrosis factor-α (TNF-α), and vascular endothelial growth factor (VEGF) in the tumor and the adjacent tissues of 42 patients with colorectal cancer, respectively, and the correlation between the expression of CD16a mRNA and cytokines in the microenvironment was analyzed.ResultsThe expressions of IL-6, TNF-α, and VEGF in colorectal cancer tissues were significantly higher than those in the adjacent tissues (P<0.05). There was no significant difference in the expression of IL-2,IL-4, IL-10, IL-12, and IFN-γ between the two kinds of tissues (P>0.05). Clinicopathological factor analysis showed that, the levels of IL-6 and VEGF in the colorectal cancer patients with preoperative normal CEA were significantly higher than those with elevated CEA (P<0.05). Correlation analysis showed that the expression of IL-6 was negatively correlated with expression of CD16a mRNA (P<0.05).ConclusionsThe expressions of IL-6, TNF-α, and VEGF in tumor tissues were significantly higher than adjacent tissues, and the effect of angiogenic and immunosuppression were enhanced. The expression of CD16a mRNA in the microenvironment of colorectal cancer tumor is negatively correlated with the expression of IL-6.