Objective To summarize research status and mechanism about effects of carcinoma-associated fibroblasts (CAFs) on breast cancer stem cells. Method Relevant literatures about the relationship between the CAFs and breast cancer stem cells were collected and reviewed. Results CAFs were the majority type of the breast cancer stromal cells. The cancer stromal cell was also the important part of the tumor microenvironment, which could promote the proliferation, adhesion, invasion, and metastasis of the breast cancer. A subpopulation of cancer stem cells with the potentials of self-renewal and multi-directional differentiation in the breast cancer tissues might cause the tumor development. There was a phenotypic heterogeneity in the beast cancer stem cells, it was related to the tumor recurrence and therapy resistance. The CAFs could promote the formation of breast cancer stem cells through the epithelial mesenchymal transition and promote the transformation of tumor stem cell phenotype. More research needed to be done to prove these processes. Conclusion CAFs play an important role in formation of breast cancer stem cells and transformation of tumor stem cell phenotype, which might provide a new idea about treating breast cancer.
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 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.
Non-small cell lung cancer (NSCLC) is one of the most common types of cancer in the world and is an important cause for cancer death. Although the application of immunotherapy in recent years has greatly improved the prognosis of NSCLC, there are still huge challenges in the treatment of NSCLC. The immune microenvironment plays an important role in the process of NSCLC development, infiltration and metastasis, and they can interact and influence each other, forming a vicious circle. Notably, single-cell RNA sequencing enables high-resolution analysis of individual cells and is of great value in revealing cell types, cell evolution trajectories, molecular mechanisms of cell differentiation, and intercellular regulation within the immune microenvironment. Single-cell RNA sequencing is expected to uncover more promising immunotherapies. This article reviews the important researches and latest achievements of single-cell RNA sequencing in the immune microenvironment of NSCLC, and aims to explore the significance of applying single-cell RNA sequencing to analyze the immune microenvironment of NSCLC.
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 summarize the molecular mechanisms and clinical treatment of gastric cancer with liver metastasis (GCLM), in order to provide new ideas for future treatment. MethodThe literatures about mechanism and treatment strategy of GCLM in recent years were searched and reviewed. ResultsMost patients with gastric cancer were in advanced stage or had developed distant metastases when they were first diagnosed, among which liver was the common site of metastasis. The complex molecular mechanisms of GCLM had not been fully clarified. Molecular mechanisms at different levels, including non-coding RNA, circulating tumor cells, exosomes, tumor microenvironment and signaling pathways, were relatively independent and interacted with each other, providing potential biomarkers and therapeutic targets for GCLM. At present, the best treatment method for patients with GCLM was mainly divided into local and systemic treatment. The local treatment included surgical treatment, radiofrequency ablation and proton beam therapy, while the systemic treatment included systemic chemotherapy, targeted therapy and immunotherapy, among which the targeted therapy and immunotherapy were the focus of recent research. ConclusionsThe mechanism of GCLM is the result of the interaction between tumor cells and the microenvironment at the site of metastasis. Understanding them is of great significance to guide clinical treatment and prognosis. At present, there is no unified treatment standard for GCLM. To achieve the ideal treatment effect, we should not only rely on single therapy, but also adopt multi-disciplinary and individual therapy according to the specific disease status of patients and the nature of tumors.
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 summarizes the mechanisms of carcinogenesis of colorectal cells, the occurrence and development of cancer cells, and their interactions with the tumor niche of colorectal cancer (CRC) from the perspective of the tumor niche, exploring new ideas for the prevention, diagnosis, and treatment of CRC. MethodThe relevant literature at home and abroad in recent years on the researches of mechanism of the occurrence and development of CRC and its relation with the tumor niche of CRC was searched and reviewed. ResultsThe theory of tumor ecology indicates that the human normal body can be regarded as a relatively closed and perfect ecosystem. Each normal tissue and organ within the body represent a niche in this ecosystem, which interact, affect, and symbiotically coexist with each other, forming a dynamic ecological balance. Tumor cells, being a “new species” distinct from normal tissue cells, “invade” the ecological system of the normal body under specific conditions and interact with the surrounding microenvironment, which is defined as the tumor niche. Analysis of current literature retrieved from the perspective of the tumor niche suggested that, although genetic factors are involved in the carcinogenesis of colorectal cells, the majority of such carcinogenesis stems from the continuous stimulation of the colorectal niche. Current research primarily focuses on the conclusion that the carcinogenesis of colorectal cells is associated with factors such as chronic inflammatory response, intestinal microorganisms, oxidative stress, and pyroptosis. After carcinogenesis and the eventual formation of CRC, the growth of cancer cells and tissues first requires breaching the defense of the immune system in the colorectal niche. Immune cells in the immune system play a crucial role in the tumor niche during the occurrence and development of CRC. ConclusionsThe proposal of the tumor niche concept enables researchers, when studying the mechanisms of tumor occurrence and development, to no longer merely focus on the tumor and its microenvironment. Instead, the tumor as a part of the body’s ecosystem was studied. Components of the tumor niche, such as chronic inflammatory responses, intestinal microorganisms, oxidative stress, pyroptosis, and immune system, have a significant impact on the mechanisms of carcinogenesis of most colorectal cells, as well as the occurrence and development of cancer cells. These factors influence the progression of CRC in various aspects.
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 investigate the effects of hypoxic three-dimensional culture microenvironment on the proliferation of bone marrow mesenchymal stem cells and its mechanism. MethodsP5 generation mouse bone marrow mesenchymal stem cells and P (3HB-co-4HB) were co-cultured under normoxic three-dimensional (20%) and hypoxic three-dimensional microenvironment (4%) respectively. After 24 hours, the proliferation of the two groups was determined by CCK-8 method. The expression of HIF-1α gene was detected by real-time quantitative PCR after 12 hours. Western blotting was used to detect the expression of HIF-1α protein after 24 hours. ResultsAfter 24 hours, the CCK-8 method showed that the OD value of the hypoxia group was significantly higher than that of the normoxia group (0.455±0.027 vs. 0.352±0.090, n=12, P<0.05). After 12 hours of hypoxic culture, the expression level of HIF-1α mRNA in the hypoxia group was significantly higher than that in the normoxia group (P<0.05). Compared with the normoxia group (0.47± 0.05), the relative expression level of HIF-1α protein in the hypoxia group (0.63±0.06) significantly increased in the Western blotting after 24 hours (n=3, P<0.05). ConclusionThe hypoxic three-dimensional microenvironment can promote the proliferation of bone marrow mesenchymal stem cells, which may be related to the activation of HIF-1α signaling pathway.