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.
Unhealthy diet, habits and drug abuse cause a variety of liver diseases, including steatohepatitis, liver fibrosis, liver cirrhosis and liver cancer, which seriously affect human health. The fabrication of highly simulated cell models in vitro is important in the treatment of liver diseases and drug development. This article summarized the common strategies for the construction of liver pathology models in vitro. It introduced four typical cell models in vitro related to liver disease and provided a reference for the study of liver disease models.
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.
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.
N,N-Dimethylglycine (DMG) is a glycine derivative, and its sodium salt (DMG-Na) has been demonstrated to possess various biological activities, including immunomodulation, free radical scavenging, and antioxidation, collectively contributing to the stability of tissue and cellular functions. However, its direct effects and underlying mechanisms in wound healing remain unclear. In this study, a full-thickness excisional wound model was established on the dorsal skin of mice, and wounds were treated locally with DMG-Na. Wound healing progression was assessed by calculating wound closure rates. Histopathological analysis was conducted using hematoxylin-eosin (HE) staining, and keratinocyte proliferation, migration, and differentiation were evaluated using CCK-8 assays, scratch wound assays, and quantitative reverse transcription PCR (qRT-PCR). Inflammation-related cytokine expression in keratinocytes was analyzed via ELISA and qRT-PCR. Results revealed that DMG-Na treatment significantly accelerated wound healing in mice and improved overall wound closure quality. The wound healing rates on days 3, 6, and 9 were 49.18%, 68.87%, and 90.55%, respectively, with statistically significant differences compared to the control group (P<0.05). DMG-Na treatment downregulated the mRNA levels of keratinocyte differentiation markers while enhancing cell proliferation and migration (P<0.05). Furthermore, DMG-Na decreased the secretion of LPS-induced keratinocyte inflammatory cytokines, including IL-1β, IL-6, IL-8, TNF-α, and CXCL10 (P<0.05). These findings indicate that DMG-Na regulates inflammatory responses and promotes keratinocyte proliferation and migration, thereby facilitating the healing of skin wounds.
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 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.
Objective To summarize the research progress on the regulation of hepatic sinusoidal microenvironment to promote liver regeneration based on liver sinusoidal endothelial cells (LSECs), aiming to further clarify the mechanism of liver regeneration and provide new ideas and methods for clinical promotion of liver regeneration and prevention of liver failure. Method The basic and clinical research studies on LSECs and liver regeneration at home and abroad in recent years were searched and reviewed. Results Differentiated LSECs played an important role in liver regeneration, regulated the homeostasis of hepatic sinusoid microenvironment by paracrine and autocrine, and participated in the whole process of promoting liver regeneration, such as hepatocyte proliferation and neovascularization after acute and chronic liver injury. Conclusion In the process of liver regeneration after all kinds of acute and chronic liver injury, LSECs promote liver regeneration by regulating hepatic sinusoid microenvironment, which will provide new strategies and methods for clinical promotion of liver regeneration and prevention of liver failure after hepatectomy.
Lung cancer has a high morbidity and mortality, and invasion is one of the major factors that cause recurrence and death in lung cancer patients. Tumor-associated macrophages (TAMs) are cells that have the potential to secrete cytokines, growth hormones, inflammatory substrates, and protein hydrolases, which are associated with the growth, invasion and metastasis of tumors. In this article, we will explore the various chemicals that are manufactured to promote the invasion of lung cancer, as well as the numerous clinical therapeutic features that TAMs possess in the treatment of lung cancer. In addition, we look at the possibility that TAMs might be beneficial in the treatment of lung cancer. We have an innovative investigation of the huge variety of complex substances generated by TAMs, with the goal of determining whether or not the molecules under investigation have the potential to serve as new therapeutic targets. Throughout the whole of the presentation, a significant focus is placed on doing in-depth research to ascertain whether TAMs have the capability to reinforce as viable carriers for unique and creative medications. This not only provides novel concepts for the creation of new targeted therapies but also leads to the development of brand-new, cutting-edge methods for the manufacture of individualized medicines and drug carriers.
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.