LAG3 is the most promising immune checkpoint next to PD-1 and CTLA-4. High LAG3 and FGL1 expression boosts tumor growth by inhibiting the immune microenvironment. This review comprises four sections presenting the structure/expression, interaction, biological effects, and clinical application of LAG3/FGL1. D1 and D2 of LAG3 and FD of FGL1 are the LAG3-FGL1 interaction domains. LAG3 accumulates on the surface of lymphocytes in various tumors, but is also found in the cytoplasm in non-small cell lung cancer (NSCLC) cells. FGL1 is found in the cytoplasm in NSCLC cells and on the surface of breast cancer cells. The LAG3-FGL1 interaction mechanism remains unclear, and the intracellular signals require elucidation. LAG3/FGL1 activity is associated with immune cell infiltration, proliferation, and secretion. Cytokine production is enhanced when LAG3/FGL1 are co-expressed with PD-1. IMP321 and relatlimab are promising monoclonal antibodies targeting LAG3 in melanoma. The clinical use of anti-FGL1 antibodies has not been reported. Finally, high FGL1 and LAG3 expression induces EGFR-TKI and gefitinib resistance, and anti-PD-1 therapy resistance, respectively. We present a comprehensive overview of the role of LAG3/FGL1 in cancer, suggesting novel anti-tumor therapy strategies.

This study highlights aspects of the latest clinical research conducted on the relationship between immune checkpoints and tumor metastasis. The overview of each immune checkpoint is divided into the following three sections: 1) structure and expression; 2) immune mechanism related to tumor metastasis; and 3) clinical research related to tumor metastasis. This review expands on the immunological mechanisms of 17 immune checkpoints, including TIM-3, CD47, and OX-40L, that mediate tumor metastasis; evidence shows that most of these immune checkpoints are expressed on the surface of T cells, which mainly exert immunomodulatory effects. Additionally, we have summarized the roles of these immune checkpoints in the diagnosis and treatment of metastatic tumors, as these checkpoints are considered common predictors of metastasis in various cancers such as prostate cancer, non-Hodgkin lymphoma, and melanoma. Moreover, certain immune checkpoints can be used in synergy with PD-1 and CTLA-4, along with the implementation of combination therapies such as LIGHT-VTR and anti-PD-1 antibodies. Presently, most monoclonal antibodies generated against immune checkpoints are under investigation as part of ongoing preclinical or clinical trials conducted to evaluate their efficacy and safety to establish a better combination treatment strategy; however, no significant progress has been made regarding monoclonal antibody targeting of CD28, VISTA, or VTCN1. The application of immune checkpoint inhibitors in early stage tumors to prevent tumor metastasis warrants further evidence; the immune-related adverse events should be considered before combination therapy. This review aims to elucidate the mechanisms of immune checkpoint and the clinical progress on their use in metastatic tumors reported over the last 5 years, which may provide insights into the development of novel therapeutic strategies that will assist with the utilization of various immune checkpoint inhibitors.

Background: The mechanisms involved in the malignant progression of lung adenocarcinoma (LUAD) are still inconclusive. Fibrinogen-like protein 1 (FGL1) and LAG3 are a pair of immune checkpoints that create an inhibitory immune microenvironment in tumors. However, other roles of FGL1 in LUAD have not been extensively studied. Our study aims to explore the role of FGL1 in the malignant progression of LUAD and to provide new therapeutic targets and strategies for LUAD treatment.Methods: Differential gene expression of FGL1 was analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA), Oncomine, UALCAN, and Gene Expression Omnibus (GEO) databases.A pan-cancer analysis was conducted using the Oncomine, TIMER, and UALCAN databases. A total of 140 tumor tissues and paired normal tissues were collected, IHC and immunofluorescence staining were used to explore the expression of FGL1. GeneMANIA database and STRING database were used to analyze gene-gene interaction and protein-protein interaction, respectively. A mutation analysis was conducted using the cBioPortal database, and an immune infiltration analysis was conducted using the TIMER database. A survival analysis was carried out using the GEPIA and PrognoScan database. The knockdown of FGL1 was confirmed by western blot (WB) and immunofluorescence staining. Cell proliferation was tested by cell cycle analysis and real-time cell analysis. RNA sequencing (RNA-seq) was used to explore the differential genes of FGL1 knockdown in LUAD cells.Results: Multiple databases showed that FGL1 was highly expressed in LUAD. The results of IHC indicated that FGL1 was highly expressed in the cytoplasm of LUAD cells. FGL1 was negatively associated with immune infiltration in LUAD. The main mutation of FGL1 is deep deletion, the altered group and high expression group indicated poor prognosis. The downregulation of FGL1 lead to a significantly decreased percentage of PC9 cells in S phase, but had little effect on the proliferation of Jurkat T cells. RNA-seq and GSEA analysis indicated that the differential genes were mainly enriched in MYC-target genes, which suggested that the downregulation of FGL1 inhibited cell proliferation by regulating MYC-target genes.Conclusions: FGL1 exerts in LUAD proliferation in addition to immune regulation. The downregulation of FGL1 inhibits the proliferation of LUAD cells by regulating MYC-target genes. Thus, FGL1 may be a Oncomine analysisThe Oncomine database (www.oncomine.org) is a tumor microarray database that can analyze 18,000 cancer gene expression profiles, pathways, and networks from various published articles (17). We used the Oncomine database to conduct an FGL1 pan-cancer analysis and an expression analysis of pathological subtypes. novel therapeutic target in LUAD.

RationalLung cancer is the most common tumor worldwide, with the highest mortality rate and second highest incidence. Immunotherapy is one of the most important treatments for lung adenocarcinoma (LUAD); however, it has relatively low response rate and high incidence of adverse events. Herein, we explored the therapeutic potential of fibrinogen-like protein 1 (FGL1) for LUAD.MethodsData from GEPIA and ACLBI databases were assessed to explore gene–gene correlations and tumor immune infiltration patterns. A total of 200 patients with LUAD were recruited. FGL1 levels in the serum and cellular supernatant were determined by enzyme-linked immunosorbent assay. In vitro and in vivo experiments were performed to assess the effect FGL1 on the proliferation of LUAD cells. Cocultures were performed to explore the effect of FGL1 knockdown in lung cancer cells on T cells, concerning cytokine secretion and viability. PROMO and hTFtarget databases were used for transcription factor prediction. Quantitative polymerase chain reaction (qPCR), chromatin immunoprecipitation, and dual luciferase reporter assays were performed to validate the identified transcription factor of FGL1. Immunoprecipitation, mass spectrometry and gene ontology analysis were performed to explore the downstream partners of FGL1.ResultsFGL1 expression in LUAD was positively associated with PDL1, but not for PD1 expression. Moreover, FGL1 was positively associated with the CD3D expression and negatively associated with FOXP3, S100A9, and TPSB2 within the tumor site. FGL1 promotes the secretion of interleukin-2 by T cells in vitro, simultaneously inducing their apoptosis. Indeed, YY1 is the upstream molecule of FGL1 was found to be transcriptionally regulated by YY1 and to directly by to MYH9 to promote the proliferation of LUAD cells in vitro and in vivo.ConclusionsFGL1 is involved in the immunological and proliferative regulation of LUAD cells by controlling the secretion of important immune-related cytokines via the YY1–FGL1–MYH9 axis. Hence, targeting FGL1 in LUAD may pave the way for the development of new immunotherapies for tackling this malignancy.

Background: Primary tracheobronchial neoplasm is rare yet poses a serious threat to life. Due to its low incidence, the immune microenvironment of such tumors remained unclear. This study aimed to clarify the expression of programmed death-ligand 1 (PD-L1) and infiltration of immune cells in primary tracheobronchial neoplasm, which might be useful for guiding treatment and evaluating clinical outcome. Methods:We assessed retrospectively the expression of PD-L1 and infiltration in cells expressing CD8, CD16, CD68, CD163 and FOXP3 in 21 patients with primary tracheobronchial neoplasm who underwent surgery in Tangdu Hospital from January 2016 to July 2021. The expression of PD-L1 was assessed based on the tumor proportion score system. The density of immune cells was analyzed by automatic image analysis software.Results: In this study, all of 16 participants with adenoid cystic carcinoma (ACC) had no expression of PD-L1, whereas 4/5 (80%) of those with squamous cell carcinomas (SCC) were positive for PD-L1 expression.Compared with ACC, the density of FOXP3 + cells in both the intratumoral region and peritumoral region was higher in SCC (P<0.01). The density of FOXP3 + cells was significantly higher than that of CD8 + , CD16 + , and CD163 + cells in SCC in the intratumoral region (P<0.01). In contrast, the density of FOXP3 + cells was significantly lower than that of CD8 + , CD16 + , and CD68 + cells in ACC in both the intratumoral region and peritumoral regions. The density of CD68 + cells was significantly higher than that of CD8 + cells (P<0.05) and CD163 + cells (P<0.01) in ACC in the intratumoral region. Furthermore, the tumors of patients with metastasis more commonly of immune-excluded status, in which the CD8 + cells accumulated in peritumoral region.Conclusions: This study demonstrated that the expression of PD-L1 in primary tracheobronchial neoplasm was mainly concentrated in patients with SCC. In the immune microenvironment of SCC, FOXP3 + cells were the dominant immune cells, while in the immune microenvironment of ACC, CD68 + 2 Zheng et al. The immune microenvironment of tracheobronchial neoplasm