Programmed cell death 1（PD-1）/programmed cell death 1 ligand（PD-L1） blockade has shown promising effects in cancer immunotherapy. Removing the so-called ＂brakes＂ on T cell immune responses by blocking the PD-1/P...Programmed cell death 1（PD-1）/programmed cell death 1 ligand（PD-L1） blockade has shown promising effects in cancer immunotherapy. Removing the so-called ＂brakes＂ on T cell immune responses by blocking the PD-1/PDL1 check point should boost anti-tumor immunity and provide durable tumor regression for cancer patients.However, 30%–60% of patients show no response to PD-1/PD-L1 blockade. Thus, it is urgent to explore the underlying resistance mechanisms to improve sensitivity to anti-PD-1/PD-L1 therapy. We propose that the mechanisms promoting resistance mainly include T cell exclusion or exhaustion at the tumor site,immunosuppressive factors in the tumor microenvironment（TME）, and a range of tumor-intrinsic factors. This review highlights the power of studying the cellular and molecular mechanisms of resistance to improve the rational design of combination therapeutic strategies that can be translated to the clinic. Here, we briefly discuss the development of PD-1/PD-L1 blockade agents and focus on the current issues and future prospects for potential combinatorial therapeutic strategies that include anti-PD-1/PD-L1 therapy, based upon the available preclinical and clinical data.展开更多
Objective:Esophageal squamous cell carcinoma(ESCC)has high morbidity and mortality rates worldwide.Cancer stem cells(CSCs)may cause tumor initiation,metastasis,and recurrence and are also responsible for chemotherapy ...Objective:Esophageal squamous cell carcinoma(ESCC)has high morbidity and mortality rates worldwide.Cancer stem cells(CSCs)may cause tumor initiation,metastasis,and recurrence and are also responsible for chemotherapy and radiotherapy failures.Myeloid-derived suppressor cells(MDSCs),in contrast,are known to be involved in mediating immunosuppression.Here,we aimed to investigate the mechanisms of interaction of CSCs and MDSCs in the tumor microenvironment.Methods:ESCC tissues and cell lines were evaluated.Neural precursor cell expressed,developmentally downregulated 9(NEDD9)was knocked down and overexpressed by lentiviral transfection.Quantitative PCR,Western blot,immunohistochemistry,cell invasion,flow cytometry,cell sorting,multiplex chemokine profiling,and tumor growth analyses were performed.Results:Microarray analysis revealed 10 upregulated genes in esophageal CSCs.Only NEDD9 was upregulated in CSCs using the sphere-forming method.NEDD9 expression was correlated with tumor invasion(P=0.0218),differentiation(P=0.0153),and poor prognosis(P=0.0373).Additionally,NEDD9 was required to maintain the stem-like phenotype.Screening of chemokine expression in ESCC cells with NEDD9 overexpression and knockdown showed that NEDD9 regulated C-X-C motif chemokine ligand 8(CXCL8)expression via the ERK pathway.CXCL8 mediated the recruitment of MDSCs induced by NEDD9 in vitro and in vivo.MDSCs promoted the stemness of ESCC cells through NEDD9 via the Notch pathway.Conclusions:As a marker of ESCC,NEDD9 maintained the stemness of ESCC cells and regulated CXCL8 through the ERK pathway to recruit MDSCs into the tumor,suggesting NEDD9 as a therapeutic target and novel prognostic marker for ESCC.展开更多
Objective:L1 cell adhesion molecule(L1 CAM)exhibits oncogenic activity in tumors.However,the link between L1 CAM and the tumor microenvironment remains poorly understood in patients with esophageal squamous cell carci...Objective:L1 cell adhesion molecule(L1 CAM)exhibits oncogenic activity in tumors.However,the link between L1 CAM and the tumor microenvironment remains poorly understood in patients with esophageal squamous cell carcinoma(ESCC).In this study,we investigated how L1 CAM expression in ESCC affects the oncogenic characteristics of tumor cells and the tumor microenvironment.Methods:Human ESCC samples were collected,and the m RNA and protein levels of L1 CAM were examined by real-time PCR and immunohistochemistry.Overexpression and knockdown gene expression assays were used for mechanistic studies.The cell proliferation and cell cycle were measured with CCK-8 assays and flow cytometry.Cell migration and invasion ability were measured with Transwell assays.Multiplex bead-based assays were performed to identity the factors downstream of L1 CAM.Xenograft studies were performed in nude mice to evaluate the effects of L1 CAM on tumor growth and regulatory T cell(Treg)recruitment.Results:L1 CAM expression was significantly elevated in ESCC tissues(P<0.001)and correlated with poorer prognosis(P<0.05).Ablation of L1 CAM in ESCC cells inhibited tumor growth and migration,and increased tumor cell apoptosis(P<0.05).In the tumor microenvironment,L1 CAM expression correlated with Treg infiltration in ESCC by affecting CCL22 secretion.Mechanistically,L1 CAM facilitated CCL22 expression by activating the PI3 K/Akt/NF-κB signaling pathway.Furthermore,CCL22 promoted Treg recruitment to the tumor site;the Tregs then secreted TGF-β,which in turn promoted L1 CAM expression via Smad2/3 in a positive feedback loop.Conclusions:Our findings provide new insight into the mechanism of immune evasion mediated by L1 CAM,suggesting that targeting L1 CAM-CCL22-TGF-βcrosstalk between tumor cells and Tregs may offer a unique means to improve treatment of patients with ESCC.展开更多
Objective: Liver metastasis,which contributes substantially to high mortality,is the most common recurrent mode of colon carcinoma.Thus,it is necessary to identify genes implicated in metastatic colonization of the li...Objective: Liver metastasis,which contributes substantially to high mortality,is the most common recurrent mode of colon carcinoma.Thus,it is necessary to identify genes implicated in metastatic colonization of the liver in colon carcinoma.Methods: We compared mRNA profiling in 18 normal colon mucosa(N),20 primary tumors(T) and 19 liver metastases(M) samples from the dataset GSE49355 and GSE62321 of Gene Expression Omnibus(GEO) database.Gene ontology(GO) and pathways of the identified genes were analyzed.Co-expression network and proteinprotein interaction(PPI) network were employed to identify the interaction relationship.Survival analyses based on The Cancer Genome Atlas(TCGA) database were used to further screening.Then,the candidate genes were validated by our data.Results: We identified 22 specific genes related to liver metastasis and they were strongly associated with cell migration,adhesion,proliferation and immune response.Simultaneously,the results showed that C-X-C motif chemokine ligand 14(CXCL14) might be a favorable prediction factor for survival of patients with colon carcinoma.Importantly,our validated data further suggested that lower CXCL14 represented poorer outcome and contributed to metastasis.Gene set enrichment analysis(GSEA) showed that CXCL14 was negatively related to the regulation of stem cell proliferation and epithelial to mesenchymal transition(EMT).Conclusions: CXCL14 was identified as a crucial anti-metastasis regulator of colon carcinoma for the first time,and might provide novel therapeutic strategies for colon carcinoma patients to improve prognosis and prevent metastasis.展开更多
To estimate the fuel consumption of a civil aircraft,we propose to use the receiver operating characteristic(ROC)curve to optimize a support vector machine(SVM)model.The new method and procedure has been developed to ...To estimate the fuel consumption of a civil aircraft,we propose to use the receiver operating characteristic(ROC)curve to optimize a support vector machine(SVM)model.The new method and procedure has been developed to build,train,validate,and apply an SVM model.A conceptual support vector network is proposed to model fuel consumption,and the flight data collected from routes are used as the inputs to train an SVM model.During the training phase,an ROC curve is defined to evaluate the performance of the model.To validate the applicability of the trained model,a case study is developed to compare the data from an aircraft performance manual and from the implemented simulation model.The investigated aircraft in the case study is a Boeing 737-800 powered by CFM-56 engines.The comparison has shown that the trained SVM model from the proposed procedure is capable of representing a complex fuel consumption function accurately for all phases during the flight.The proposed methodology is generic,and can be extended to reliably model the fuel consumption of other types of aircraft,such as piston engine aircraft or turboprop engine aircraft.展开更多
基金supported by grants from the National Natural Science Foundation of China (No. 81171986)the Ministry of Public Health (No. 201501004)
文摘Programmed cell death 1（PD-1）/programmed cell death 1 ligand（PD-L1） blockade has shown promising effects in cancer immunotherapy. Removing the so-called ＂brakes＂ on T cell immune responses by blocking the PD-1/PDL1 check point should boost anti-tumor immunity and provide durable tumor regression for cancer patients.However, 30%–60% of patients show no response to PD-1/PD-L1 blockade. Thus, it is urgent to explore the underlying resistance mechanisms to improve sensitivity to anti-PD-1/PD-L1 therapy. We propose that the mechanisms promoting resistance mainly include T cell exclusion or exhaustion at the tumor site,immunosuppressive factors in the tumor microenvironment（TME）, and a range of tumor-intrinsic factors. This review highlights the power of studying the cellular and molecular mechanisms of resistance to improve the rational design of combination therapeutic strategies that can be translated to the clinic. Here, we briefly discuss the development of PD-1/PD-L1 blockade agents and focus on the current issues and future prospects for potential combinatorial therapeutic strategies that include anti-PD-1/PD-L1 therapy, based upon the available preclinical and clinical data.
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.81602599,31400752,81771781,and U1804281)the National Key Research and Development Program of China(Grant No.2016YFC1303501)。
文摘Objective:Esophageal squamous cell carcinoma(ESCC)has high morbidity and mortality rates worldwide.Cancer stem cells(CSCs)may cause tumor initiation,metastasis,and recurrence and are also responsible for chemotherapy and radiotherapy failures.Myeloid-derived suppressor cells(MDSCs),in contrast,are known to be involved in mediating immunosuppression.Here,we aimed to investigate the mechanisms of interaction of CSCs and MDSCs in the tumor microenvironment.Methods:ESCC tissues and cell lines were evaluated.Neural precursor cell expressed,developmentally downregulated 9(NEDD9)was knocked down and overexpressed by lentiviral transfection.Quantitative PCR,Western blot,immunohistochemistry,cell invasion,flow cytometry,cell sorting,multiplex chemokine profiling,and tumor growth analyses were performed.Results:Microarray analysis revealed 10 upregulated genes in esophageal CSCs.Only NEDD9 was upregulated in CSCs using the sphere-forming method.NEDD9 expression was correlated with tumor invasion(P=0.0218),differentiation(P=0.0153),and poor prognosis(P=0.0373).Additionally,NEDD9 was required to maintain the stem-like phenotype.Screening of chemokine expression in ESCC cells with NEDD9 overexpression and knockdown showed that NEDD9 regulated C-X-C motif chemokine ligand 8(CXCL8)expression via the ERK pathway.CXCL8 mediated the recruitment of MDSCs induced by NEDD9 in vitro and in vivo.MDSCs promoted the stemness of ESCC cells through NEDD9 via the Notch pathway.Conclusions:As a marker of ESCC,NEDD9 maintained the stemness of ESCC cells and regulated CXCL8 through the ERK pathway to recruit MDSCs into the tumor,suggesting NEDD9 as a therapeutic target and novel prognostic marker for ESCC.
基金supported by grants from the National Natural Science Foundation of China(Grant No.81802857)State’s Key Project of Research and Development Plan(Grant No.2016YFC1303501)+1 种基金Henan Science and Technology Research Project(Grant No.172102310143)The Key Research Project of Henan Provincial Colleges and Universities(Grant No.19A320062)。
文摘Objective:L1 cell adhesion molecule(L1 CAM)exhibits oncogenic activity in tumors.However,the link between L1 CAM and the tumor microenvironment remains poorly understood in patients with esophageal squamous cell carcinoma(ESCC).In this study,we investigated how L1 CAM expression in ESCC affects the oncogenic characteristics of tumor cells and the tumor microenvironment.Methods:Human ESCC samples were collected,and the m RNA and protein levels of L1 CAM were examined by real-time PCR and immunohistochemistry.Overexpression and knockdown gene expression assays were used for mechanistic studies.The cell proliferation and cell cycle were measured with CCK-8 assays and flow cytometry.Cell migration and invasion ability were measured with Transwell assays.Multiplex bead-based assays were performed to identity the factors downstream of L1 CAM.Xenograft studies were performed in nude mice to evaluate the effects of L1 CAM on tumor growth and regulatory T cell(Treg)recruitment.Results:L1 CAM expression was significantly elevated in ESCC tissues(P<0.001)and correlated with poorer prognosis(P<0.05).Ablation of L1 CAM in ESCC cells inhibited tumor growth and migration,and increased tumor cell apoptosis(P<0.05).In the tumor microenvironment,L1 CAM expression correlated with Treg infiltration in ESCC by affecting CCL22 secretion.Mechanistically,L1 CAM facilitated CCL22 expression by activating the PI3 K/Akt/NF-κB signaling pathway.Furthermore,CCL22 promoted Treg recruitment to the tumor site;the Tregs then secreted TGF-β,which in turn promoted L1 CAM expression via Smad2/3 in a positive feedback loop.Conclusions:Our findings provide new insight into the mechanism of immune evasion mediated by L1 CAM,suggesting that targeting L1 CAM-CCL22-TGF-βcrosstalk between tumor cells and Tregs may offer a unique means to improve treatment of patients with ESCC.
基金supported by grants from the National Natural Science Foundation of China(No.8177061284)
文摘Objective: Liver metastasis,which contributes substantially to high mortality,is the most common recurrent mode of colon carcinoma.Thus,it is necessary to identify genes implicated in metastatic colonization of the liver in colon carcinoma.Methods: We compared mRNA profiling in 18 normal colon mucosa(N),20 primary tumors(T) and 19 liver metastases(M) samples from the dataset GSE49355 and GSE62321 of Gene Expression Omnibus(GEO) database.Gene ontology(GO) and pathways of the identified genes were analyzed.Co-expression network and proteinprotein interaction(PPI) network were employed to identify the interaction relationship.Survival analyses based on The Cancer Genome Atlas(TCGA) database were used to further screening.Then,the candidate genes were validated by our data.Results: We identified 22 specific genes related to liver metastasis and they were strongly associated with cell migration,adhesion,proliferation and immune response.Simultaneously,the results showed that C-X-C motif chemokine ligand 14(CXCL14) might be a favorable prediction factor for survival of patients with colon carcinoma.Importantly,our validated data further suggested that lower CXCL14 represented poorer outcome and contributed to metastasis.Gene set enrichment analysis(GSEA) showed that CXCL14 was negatively related to the regulation of stem cell proliferation and epithelial to mesenchymal transition(EMT).Conclusions: CXCL14 was identified as a crucial anti-metastasis regulator of colon carcinoma for the first time,and might provide novel therapeutic strategies for colon carcinoma patients to improve prognosis and prevent metastasis.
基金This paper was supported by the National Natural Science Foundation of China(NSFC)[61179066].
文摘To estimate the fuel consumption of a civil aircraft,we propose to use the receiver operating characteristic(ROC)curve to optimize a support vector machine(SVM)model.The new method and procedure has been developed to build,train,validate,and apply an SVM model.A conceptual support vector network is proposed to model fuel consumption,and the flight data collected from routes are used as the inputs to train an SVM model.During the training phase,an ROC curve is defined to evaluate the performance of the model.To validate the applicability of the trained model,a case study is developed to compare the data from an aircraft performance manual and from the implemented simulation model.The investigated aircraft in the case study is a Boeing 737-800 powered by CFM-56 engines.The comparison has shown that the trained SVM model from the proposed procedure is capable of representing a complex fuel consumption function accurately for all phases during the flight.The proposed methodology is generic,and can be extended to reliably model the fuel consumption of other types of aircraft,such as piston engine aircraft or turboprop engine aircraft.
