Gallbladder cancer(GBC)is one common type of bile tract cancers with poor prognosis. This review summarizes the recent development of studies about somatic mutation, molecular subtype, microenvironment heterogeneity, organoid, orthotopic model, patient-derived xenograft and clinical translation on GBC in aspects of genomic,transcriptome,single cell omics and clinical translation. We expect this review will provide new ideas on dissecting molecular mechanisms underlying the development and emerging chemoresistance of GBC following therapy and promote GBC precision medicine.
Humans ; Gallbladder Neoplasms/genetics* ; Prognosis ; Tumor Microenvironment

OBJECTIVES: Malignant melanoma is a highly malignant and heterogeneous skin cancer. Although immunotherapy has improved survival rates, the inhibitory effect of tumor microenvironment has weakened its efficacy. To improve survival and treatment strategies, we need to develop immune-related prognostic models. Based on the analysis of the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Sequence Read Archive (SRA) database, this study aims to establish an immune-related prognosis prediction model, and to evaluate the tumor immune microenvironment by risk score to guide immunotherapy. METHODS: Skin cutaneous melanoma (SKCM) transcriptome sequencing data and corresponding clinical information were obtained from the TCGA database, differentially expressed genes were analyzed, and prognostic models were developed using univariate Cox regression, the LASSO method, and stepwise regression. Differentially expressed genes in prognostic models confirmed by real-time reverse transcription PCR (real-time RT-PCR) and Western blotting. Survival analysis was performed by using the Kaplan-Meier method, and the effect of the model was evaluated by time-dependent receiver operating characteristic curve as well as multivariate Cox regression, and the prognostic model was validated by 2 GEO melanoma datasets. Furthermore, correlations between risk score and immune cell infiltration, Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) score, immune checkpoint mRNA expression levels, tumor immune cycle, or tumor immune micro-environmental pathways were analyzed. Finally, we performed association analysis for risk score and the efficacy of immunotherapy. RESULTS: We identified 4 genes that were differentially expressed in TCGA-SKCM datasets, which were mainly associated with the tumor immune microenvironment. A prognostic model was also established based on 4 genes. Among 4 genes, the mRNA and protein levels of killer cell lectin like receptor D1 (KLRD1), leukemia inhibitory factor (LIF), and cellular retinoic acid binding protein 2 (CRABP2) genes in melanoma tissues differed significantly from those in normal skin (all P<0.01). The prognostic model was a good predictor of prognosis for patients with SKCM. The patients with high-risk scores had significantly shorter overall survival than those with low-risk scores, and consistent results were achieved in the training cohort and multiple validation cohorts (P<0.001). The risk score was strongly associated with immune cell infiltration, ESTIMATE score, immune checkpoint mRNA expression levels, tumor immune cycle, and tumor immune microenvironmental pathways (P<0.001). The correlation analysis showed that patients with the high-risk scores were in an inhibitory immune microenvironment based on the prognostic model (P<0.01). CONCLUSIONS The immune-related SKCM prognostic model constructed in this study can effectively predict the prognosis of SKCM patients. Considering its close correlation to the tumor immune microenvironment, the model has some reference value for clinical immunotherapy of SKCM.
Humans ; Melanoma/genetics* ; Skin Neoplasms/genetics* ; Tumor Microenvironment ; Prognosis

Prostate cancer (PCa) is a maligmancy with high morbidity and mortality. Bone metastasis is the main cause of short survival time and difficulties in the treatment and prevention of PCa. Previous findings of our team showed 155 bone-specific genes highly expressed in bone metastatic PC3 cells, which is considered to be the key to their adaptation to the bone micro-environment, proliferation and formation of metastatic tumor, and extensively exists in cancer metastasis in multiple systems. This review summarizes the published literature on the highly expressed bone-specific genes, focusing on the roles and values of these genes in the metastasis, progression, clinical diagnosis, treatment and prognosis of PCa, offering a prospect of the direction and targets in the studies of PCa bone metastasis so as to enrich the bone metastatic theories and clinical treatment principles of this disease in the future.
Humans ; Male ; PC-3 Cells ; Prostatic Neoplasms/genetics* ; Tumor Microenvironment

Neutrophil extracellular traps(NET)is neutrophil-derived extracellular fiber web-like structure, composed of DNA scaffold studded with various active proteins. In addition to its bactericidal effect, NET is closely related to various diseases including immune disease, thrombosis and tumor. Recently, lots of researches have shown that NET is highly expressed in a variety of tumors, tumor cells and microenvironment can promote NET formation, whereas NET participates in tumor progression as well, and is closely related to tumor proliferation, metastasis and thrombosis, which provides new clinical thinking in tumor diagnosis as well as treatment indeed. This review will focus on the research progress of NET and tumor, meanwhile make a prospect for its clinical application value.
Extracellular Traps ; genetics ; Humans ; Neoplasms ; physiopathology ; Neutrophils ; pathology ; Tumor Microenvironment

Tumor-derived exosomes play an important role in the tumor micro-environment. The exosome-derived non-coding RNAs are transmitted in the tumor microenvironment in three ways, communication between tumor cells, normal cells affecting tumor cells, and tumor cells affecting normal cells. Through these three ways, exosomal non-coding RNAs are involved in the regulation of tumor progression, affecting tumor angiogenesis, tumor invasiveness, drug resistance, stemness, tumor metabolic repro-gramming and immune escape, resulting in dual roles in promoting or inhibiting tumor development. Exosomes have a membranous structure and their contents are resistant to degradation by extracellular proteases and remain highly stable in body fluids, thus exosome-derived non-coding RNAs are expected to serve as diagnostic and prognostic indicators for a variety of cancers. In addition, exosomes can be used to deliver non-coding RNAs for targeted therapy, or to knock down or modify tumor-promoting non-coding RNAs for tumor therapy. This article reviews the function and communication mechanism of exosomal non-coding RNAs in the tumor microenvironment, including their pathways of action, effects, potential values for tumor biomarkers and treatment targets. This article also points out the issues that need to be further studied in order to promote the progress of extracellular non-coding RNAs in cancer research and their application in tumor diagnosis and treatment.
Humans ; Exosomes ; Neoplasms/genetics* ; Biomarkers, Tumor ; Body Fluids ; RNA, Untranslated/genetics* ; Tumor Microenvironment

With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations ("target-dependent resistance") and in the parallel and downstream pathways ("target-independent resistance"). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Tumor Microenvironment/genetics*

OBJECTIVE: To explore the regulatory role of miR-4772 in the formation of tumor immune microenvironment in ovarian cancer. METHODS: The optimal cutoff level of PD-L1 expression was calculated based on data from 294 ovarian cancer patients in the TCGA database. The differentially expressed genes (DEGs) between high and low PD-L1 expression groups were screened, and the important DEGs were identified by correlation analysis. WGCNA analysis was performed to select the weighted genes and PD-L1-related miRNAs, from which the hub genes were obtained by intersection analysis. ssGSEA analysis was used to evaluate the effect of PD-L1 and miR-4772 expressions on the tumor immune microenvironment in ovarian cancer. KEGG analysis was used to identify the involved signal pathways, and the interactions between the hub genes were mapped by protein-protein interaction (PPI) analysis. Survival analysis was carried out to identify the survival-related hub genes, and the results were validated using the data of 399 patients with ovarian cancer from GEO database and the sequencing results of SKOV3 cells transfected with miR-4772 mimics or inhibitor. RESULTS: According the optimal cutoff level of PD-L1 expression of 1.31582 (90th quantile), the patients were divided into high- and low-PD-L1 expression groups. A total of 840 DEGs were identified, including 549 significantly up-regulated genes and 291 down-regulated genes. Among them, 20 important DEGs were found to closely correlate with miR-4772 expression, and WGCNA analysis identified 48 weighted genes significantly correlated with miR-4772. Twelve genes were identified as both key DEGs and weighted genes and were treated as the hub genes. ssGSEA analysis showed that both the patients with high PD-L1 expressions and those with high miR-4772 expressions showed more active immune infiltration and functional activity. The 12 hub genes were involved mainly in immune-related signaling pathways, and PPI analysis suggested significant interactions among the hub genes. The two hub genes CD96 and TBX21 showed close correlation with the survival of ovarian cancer patients. The sequencing results of SKOV3 cells transfected with miR-4772 mimics or inhibitor showed that the changes in miR-4772 expression level caused obvious changes in the expressions of the 12 hub genes and PD-L1. CONCLUSION MiR-4772 plays a regulatory role in the formation of tumor immune microenvironment in ovarian cancer by regulating 12 hub genes.
Humans ; Female ; B7-H1 Antigen/genetics* ; Tumor Microenvironment ; Ovarian Neoplasms/genetics* ; MicroRNAs/genetics* ; Databases, Factual

Lung cancer is one of the common malignant tumors in the world, and its incidence and mortality is increasing year by year. Interactions between tumor cells and immune cells in the tumor microenvironment(TME) affect tumor proliferation, infiltration, and metastasis. Tumor-associated macrophages(TAMs) are prominent components of TME, and they have dual regulation effects on malignant progression of lung cancer. The number, activity, and function of M2 macrophages are related to the poor prognosis of lung cancer, and M2 macrophages participate in tumor angiogenesis and immune escape. It has been proved that traditional Chinese medicines(TCMs) and their active ingredients can enhance the antitumor effects, reduce the toxicity of chemotherapy and radiotherapy, and prolong the survival rates of patients with cancer. This paper summarized the role of TAMs in the lung cancer initiation and progression, explored the molecular mechanism of TCM in regulating the recruitment, polarization phenotype, activity, and expression of related factors and proteins of TAMs, and discussed related signal pathways in the prevention and treatment of lung cancer based on the TCM theory of "reinforcing healthy qi and eliminating pathogen". This paper is expected to provide new ideas for the immunotherapy of targeted TAMs.
Humans ; Tumor-Associated Macrophages/pathology* ; Medicine, Chinese Traditional ; Lung Neoplasms/genetics* ; Macrophages ; Immunotherapy ; Tumor Microenvironment

Non-small cell lung cancer (NSCLC) with oncogenic driver mutations was previously deemed " forbidden territory" for immunotherapy. With the growing understanding of the impact of target drugs on the immune microenvironment and the continuous generation of clinical evidence, immunotherapy is expected to bring new hope for the NSCLC with oncogenic driver mutations. This consensus is updated based on the Chinese expert consensus on immunotherapy for advanced non-small lung cancer with oncogenic driver mutations (2022 edition), and developed by the consensus expert panel through symposiums, combining the latest medical evidence and clinical practice. After thorough discussion, the expert panel reached new consensuses on 3 clinical questions: in patients with ALK fusion who are progressing on tyrosine kinase inhibitor(TKI) therapy, immune checkpoint inhibitors (ICIs)-based treatment is not recommended; ICIs-based treatment is recommended for patients with HER-2 mutations; ICIs-based treatment is recommended for NSCLC patients with MET exon 14 skipping after resistance to the targeted therapy. At the same time, with the continuous accumulation of clinical evidence, the recommendation levels of the three consensus opinions were adjusted in this update: the recommendation of ICIs combined with anti-angiogenesis therapy for patients with extensive progression after EGFR-TKIs resistance was adjusted to the level of strong; the ICIs recommendations for patients with advanced KRAS mutant and BRAF mutant NSCLC were adjusted to the level of consistent and strong, respectively. This updated consensus, combined with the latest evidence and clinical experience widely recognized by the expert panel in the immunotherapy of driver gene mutation advanced NSCLC, aims to provide standardized guidance for the clinical practice in China.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Consensus ; Immunotherapy ; Lung Neoplasms/genetics* ; Mutation ; Tumor Microenvironment ; China

OBJECTIVE: Immunotherapy has brought significant clinical benefits to a subset of patients, but has thus far been disappointing in the treatment of immunologically "cold" tumors. Existing biomarkers that can precisely identify these populations are insufficient. In this context, a potential cold tumor microenvironment (TME) marker FARSB was investigated to reveal its impact on TME and patients' response to immunotherapy across pan-cancer. METHODS: The expression levels and mutational landscape of FARSB in pan-cancer were investigated. Kaplan-Meier and univariate Cox regression analyses were applied to analyze the prognostic significance of FARSB. Pathways affected by FARSB were investigated by gene set enrichment and variation analysis. The relationship between FARSB expression and immune infiltration was examined using the TIMER2 and R packages. Single-cell RNA sequencing (scRNA-seq) data of several cancer types from GSE72056, GSE131907, GSE132465, GSE125449 and PMID32561858 were analyzed to validate the impact of FARSB on the TME. The predictive effect of FARSB on immunotherapy efficacy was explored in 3 immune checkpoint inhibitors (ICIs)- treated cohorts (PMID32472114, GSE176307, and Riaz2017). RESULTS: FARSB expression was significantly higher in 25 tumor tissues than in normal tissues and was associated with poor prognosis in almost all tumor types. FARSB expression exhibited a strong association with several DNA damage repair pathways and was significantly associated with TP53 mutation in lung adenocarcinoma (P < 0.0001, OR=2.25). FARSB characterized a typical immune desert TME and correlated with impaired expression of chemokines and chemokines receptors. Large-scale scRNA-seq analysis confirmed the immunosuppressive role of FARSB and revealed that FARSB potentially shapes the cold TME by impeding intercellular interactions. In 3 ICI-treated cohorts, FARSB demonstrated predictive value for immunotherapy. CONCLUSION This study provides a pan-cancer landscape of the FARSB gene by integrated single-cell and bulk DNA sequencing analysis and elucidates its biological function to promote DNA damage repair and construct the immune desert TME, suggesting the potential value of FARSB as a novel marker for stratifying patients with poor immunotherapeutic benefits and "cold" TME.
Humans ; Tumor Microenvironment ; Prognosis ; Adenocarcinoma of Lung/genetics* ; Lung Neoplasms/genetics* ; Sequence Analysis, RNA