Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are currently the first-line standard of care for patients with non-small cell lung cancer (NSCLC) that harbor EGFR mutations. Nevertheless, resistance to EGFR-TKIs is inevitable. In recent years, although immune checkpoint inhibitors (ICIs) have significantly shifted the treatment paradigm in advanced NSCLC without driver mutation, clinical benefits of these agents are limited in patients with EGFR-mutated NSCLC. Compared with wild-type tumors, tumors with EGFR mutations show more heterogeneity in the expression level of programmed cell death ligand 1 (PD-L1), tumor mutational burden (TMB), and other tumor microenvironment (TME) characteristics. Whether ICIs are suitable for NSCLC patients with EGFR mutations is still worth exploring. In this review, we summarized the clinical data with regard to the efficacy of ICIs in patients with EGFR-mutated NSCLC and deciphered the unique TME in EGFR-mutated NSCLC.
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Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; ErbB Receptors/metabolism* ; Immunotherapy ; Mutation ; B7-H1 Antigen/genetics* ; Protein Kinase Inhibitors/pharmacology* ; Tumor Microenvironment

So far, the monoclonal hypothesis of tumor occurrence and development cannot be justified. The genetic diversity selection hypothesis for the occurrence and development of lung cancer links Mendelian genetics with Darwin's theory of evolution, suggesting that the genetic diversity of tumor cell populations with polyclonal origins-monoclonal selection-subclonal expansion is the result of selection pressure. Normal cells acquire mutations in oncogenic driver genes and have a selective advantage over other cells, becoming tumor initiating cells; In the interaction with the tumor microenvironment (TME), the vast majority of initiating cells are recognized and killed by the human immune system. If immune escape occurs, the incidence of malignant tumors will greatly increase, and subclonal expansion, intratumour heterogeneity, etc. will occur. This article proposed the hypothesis of genetic diversity selection and analyzed its clinical significance.
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Humans ; Lung Neoplasms/genetics* ; Clinical Relevance ; Evolution, Molecular ; Mutation ; Tumor Microenvironment

Malignant tumors are diseases that seriously threaten human health and social development. Traditional tumor therapies such as surgery, radiotherapy, chemotherapy and targeted therapy cannot fully meet the needs of clinical treatment, and emerging immunotherapy has become a research hotspot in the field of tumor treatment. Immune checkpoint inhibitors (ICIs) have been approved as a tumor immunotherapy method for the treatment of various tumors, such as lung cancer, liver cancer, stomach cancer and colorectal cancer, etc. However, during the clinical use of ICIs, only a small number of patients experienced durable responses, which also led to drug resistance and adverse reactions. Therefore, the identification and development of predictive biomarkers is crucial to improve the therapeutic efficacy of ICIs. The predictive biomarkers of tumor ICIs mainly include tumor biomarkers, tumor microenvironment biomarkers, circulation-related biomarkers, host environmental biomarkers and combinatorial biomarkers. They are of great significance for screening, individualized treatment and prognosis evaluation of tumor patients. This article reviews the advances of predictive markers for tumor ICIs therapy.
Humans ; Immune Checkpoint Inhibitors/therapeutic use* ; Lung Neoplasms ; Biomarkers ; Immunotherapy/methods* ; Biomarkers, Tumor/genetics* ; Prognosis ; Tumor Microenvironment

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

Objective To investigate the effect of insulin-like growth factor 2 mRNA binding protein 2 (IGF2BP2) on the proliferation, migration and tumor immune microenvironment of colorectal cancer cells and its possible molecular mechanism. Methods The Cancer Genome Atlas (TCGA) database was used to analyze the expression levels of IGF2BP2 and MYC in colorectal cancer and adjacent tissues. The expression of IGF2BP2 in HCT-116 and SW480 human colorectal cancer cells was silenced by RNA interference (RNAi), and the silencing effect was detected by quantitative real-time PCR. After knocking down IGF2BP2, colony formation assay, CCK-8 assay and 5-ethynyl-2'-deoxyuridine (EdU) assay were employed to detect cell colony formation and proliferation ability. Transwell^TM assay was used to detect cell migration ability. Quantitative real-time PCR was used to detect the mRNA expression of IGF2BP2, MYC, tumor necrosis factor-α (TNF-α), transforming growth factor-β (TGF-β) and interleukin-10 (IL-10). The protein expression of IGF2BP2 and MYC was detected by western blot. The binding ability of IGF2BP2 and MYC in HCT-116 cells was detected by quantitative real-time PCR after RNA immunoprecipitation. Results The results of TCGA database showed that the expression of IGF2BP2 and MYC in colorectal cancer tissues was significantly higher than that in adjacent tissues, and the survival time of colorectal cancer patients with high expression of IGF2BP2 was shorter. After silencing IGF2BP2, the viability, proliferation and migration of HCT-116 and SW480 cells were decreased. The mRNA expression of MYC, TGF-β and IL-10 in IGF2BP2 knockdown group was significantly decreased, while the expression of TNF-α mRNA was increased. The expression of MYC protein and the stability of MYC mRNA were significantly decreased. RIP-qPCR results showed that IGF2BP2 could bind to MYC mRNA. Conclusion Knockdown of IGF2BP2 inhibits colorectal cancer cell proliferation, migration and promotes tumor immunity by down-regulating MYC expression.
Humans ; Cell Line, Tumor ; Cell Movement/genetics* ; Cell Proliferation/genetics* ; Colorectal Neoplasms/metabolism* ; Gene Expression Regulation, Neoplastic ; Interleukin-10/metabolism* ; RNA, Messenger ; RNA-Binding Proteins/metabolism* ; Transforming Growth Factor beta/genetics* ; Tumor Microenvironment/immunology* ; Tumor Necrosis Factor-alpha/metabolism* ; Proto-Oncogene Proteins c-myc/metabolism*

OBJECTIVE: To explore the expression level of exosome derived miR-181b-5p in different disease stages of children with acute lymphoblastic leukemia and its relationship with clinical characteristics. METHODS: Bone marrow plasma samples of 86 children with ALL were collected. Exosomes were extracted by exosome extraction kit, and RNA in exosomes was extracted by TRIzol method. The levels of miR-181b-5p in the blood plasma exosomes of the patients in the newly diagnosed group, relapse group, remission group and control group were detected by qRT- PCR. The difference of miR-181b-5p expression level in each group was compared and analyzed, and the relationship between miR-181b-5p expression level and clinical characteristics was analyzed. RESULTS: The expression level of exosomal miR-181b-5p in the newly diagnosed group and the relapsed group was significantly lower than that in the remission group and the control group (P< 0.05). The expression level of exosomal miR-181b-5p in T-ALL children was higher than that in B-ALL children (P<0.05). The expression level of plasma exosomal miR-181b-5p in male children was higher than that in female children (P<0.01). CONCLUSION Exosome derived miR-181b-5p changes dynamically in the course of ALL children, and can be used as a marker miRNA to monitor disease status. Exosomes can transmit information in the tumor microenvironment and serve as a potential carrier for biomolecular targeted therapy.
Humans ; Male ; Female ; Child ; Exosomes/metabolism* ; Clinical Relevance ; MicroRNAs/genetics* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/metabolism* ; Tumor Microenvironment

With the development of precision medicine for lung cancer, targeted therapy has greatly improved the survival and prognosis of patients with advanced non-small cell lung cancer (NSCLC), but the occurrence of acquired drug resistance ultimately leads to patients with no targeted drugs available and no standard treatment options for this group of patients afterwards. The emergence of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of advanced NSCLC. However, due to the unique features of NSCLC with epidermal growth factor receptor (EGFR) mutation, such as immunosuppressive tumor microenvironment (TME), single ICIs treatment has limited clinical benefits in NSCLC patients with EGFR mutation, and the combination of ICIs with chemotherapy and/or targeted therapies is the trend. This review further discusses potential subpopulations with EGFR mutations that may benefit from ICIs treatment, and analyzes how decisions can be made in the era of combined immunotherapy to maximize the efficacy of ICIs treatment in EGFR mutation targeted therapy for NSCLC patients with drug resistance, with the aim of achieving individualized treatment.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Immune Checkpoint Inhibitors ; Lung Neoplasms/genetics* ; Mutation ; ErbB Receptors/genetics* ; Tumor Microenvironment

OBJECTIVES: Glioma is the most common malignant tumor in the central nervous system, and the hypoxic microenvironment is prevalent in solid tumors. This study aims to investigate the up-regulation of genes under the condition of hypoxia and their roles in glioma growth, as well as their impact on glioma prognosis. METHODS: The hypoxia-related dataset with glioma was screened in the Gene Expression Omnibus database (GEO), and the differentially expressed genes were analyzed between hypoxia and normoxia through bioinformatics, and chromosome 10 open reading frame 10 (C10orf10) was verified and screened in hypoxia-treated cells through real-time PCR and Western blotting. The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets were downloaded to analyze the mRNA expression of C10orf10 in different grades of glioma and its impact on prognosis. The glioma specimens and follow-up data of 68 gliomas who underwent surgical treatment in Xiangya Hospital of Central South University from March 2017 to January 2021 were collected, and real-time PCR was used to detect the mRNA expression of C10orf10 in different grades of glioma, and the Kaplan-Meier method was used to analyze the relationship between the expression C10orf10 and prognosis. The glioma cells, which could interfere the expression of C10orf10, were constructed, and the effect of C10orf10 on the proliferation of glioma cells was evaluated by cell counting kit-8 (CCK-8) and colony formation assays. RESULTS: Compared with the condition of normoxia, the expression levels of C10orf10 mRNA and protein were significantly up-regulated in glioma cells under hypoxia (P<0.001), and the mRNA expression level of C10orf10 in glioma tissues was up-regulated with the increase of WHO grade in glioma (P<0.001). Based on Kaplan-Meier survival analysis, the higher the mRNA expression level of C10orf10 was, the shorter the survival time of the patient was (P<0.05). And the expression of C10orf10 mRNA was higher in recurrent gliomas than that in primary gliomas in the CGGA database (P<0.001). Knockdown of C10orf10 could significantly inhibit the growth of glioma cells both under hypoxia and normoxia (both P<0.001). CONCLUSIONS The expression level of C10orf10 can promote the proliferation and prognosis of glioma, which is expected to become a prognostic marker and therapeutic target for glioma.
Humans ; Central Nervous System ; Glioma/genetics* ; Hypoxia ; Neoplasm Recurrence, Local ; 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

OBJECTIVE: To investigate the effect of adipocytes in the bone marrow microenvironment of patients with multiple myeloma (MM) on the pathogenesis of MM. METHODS: Bone marrow adipocytes (BMA) in bone marrow smears of health donors (HD) and newly diagnosed MM (ND-MM) patients were evaluated with oil red O staining. The mesenchymal stem cells (MSC) from HD and ND-MM patients were isolated, and in vitro co-culture assay was used to explore the effects of MM cells on the adipogenic differentiation of MSC and the role of BMA in the survival and drug resistance of MM cells. The expression of adipogenic/osteogenic differentiation-related genes PPAR-γ, DLK1, DGAT1, FABP4, FASN and ALP both in MSC and MSC-derived adipocytes was determined with real-time quantitative PCR. The Western blot was employed to detect the expression levels of IL-6, IL-10, SDF-1α, TNF-α and IGF-1 in the supernatant with or without PPAR-γ inhibitor. RESULTS: The results of oil red O staining of bone marrow smears showed that BMA increased significantly in patients of ND-MM compared with the normal control group, and the BMA content was related to the disease status. The content of BMA decreased in the patients with effective chemotherapy. MM cells up-regulated the expression of MSC adipogenic differentiation-related genes PPAR-γ, DLK1, DGAT1, FABP4 and FASN, but the expression of osteogenic differentiation-related gene ALP was significantly down-regulated. This means that the direct consequence of the interaction between MM cells and MSC in the bone marrow microenvironment is to promote the differentiation of MSC into adipocytes at the expense of osteoblasts, and the cytokines detected in supernatant changed. PPAR-γ inhibitor G3335 could partially reverse the release of cytokines by BMA. Those results confirmed that BMA regulated the release of cytokines via PPAR-γ signal, and PPAR-γ inhibitor G3335 could distort PPAR-γ mediated BMA maturation and cytokines release. The increased BMA and related cytokines effectively promoted the proliferation, migration and drug resistance of MM cells. CONCLUSION The BMA and its associated cytokines are the promoting factors in the survival, proliferation and migration of MM cells. BMA can protect MM cells from drug-induced apoptosis and plays an important role in MM treatment failure and disease progression.
Humans ; Osteogenesis/genetics* ; Bone Marrow/metabolism* ; Multiple Myeloma/metabolism* ; Drug Resistance, Neoplasm ; Peroxisome Proliferator-Activated Receptors/pharmacology* ; Cell Differentiation ; Adipogenesis ; Cytokines/metabolism* ; Adipocytes/metabolism* ; Bone Marrow Cells/metabolism* ; Cells, Cultured ; PPAR gamma/pharmacology* ; Tumor Microenvironment