To study the effect of Trastuzumab in combination with IFN α-2b on HER2 and MRP1 of ACHN in vitro, ACHN cell line of RCC was cultured by employing cell culture. The tetrazolium-based colorimetric assay was used to ev...To study the effect of Trastuzumab in combination with IFN α-2b on HER2 and MRP1 of ACHN in vitro, ACHN cell line of RCC was cultured by employing cell culture. The tetrazolium-based colorimetric assay was used to evaluate the growth-inhibiting effect of Trastuzumab with IFN α-2b. SP method was utilized to determine the expression of HER2 and MRP1 of the cells. Our results showed that Trastuzumab had inhibitory effect on the growth of renal tumor cells and reversing effect on the multi-drug-resistance (MDR) in RCC in a time- and dose-dependent manner. Treated with Trastuzumab with or without IFN α-2b, the expression of HER2 and MRP1 genes of RCC was decreased significantly (P<0.05). It was concluded that Trastuzumab with IFN α-2b could inhibit the proliferation of RCC and the expression of HER2 and MRP1 of ACHN and to some extent, reverse the MDR of the tumor cells.展开更多
Pegylated interferon (PEG-IFN) has become standard therapy for hepatitis C virus (HCV) infection. We evaluated whether PEG-IFN pharmacodynamics and pharmacokinetics account for differences in treatment outcome and whe...Pegylated interferon (PEG-IFN) has become standard therapy for hepatitis C virus (HCV) infection. We evaluated whether PEG-IFN pharmacodynamics and pharmacokinetics account for differences in treatment outcome and whether these parameters might be predictors of therapeutic outcome. Twenty-four IFN-nave, HCV/human immunodeficiency virus-coinfected patients received PEG-IFN α-2b (1.5 μg/kg) once weekly plus daily ribavirin (1,000 or 1,200 mg) for up to 48 weeks. HCV RNA and PEG-IFN αconcentrations were obtained from samples collected frequently after the first 3 PEG-IFN doses. We modeled HCV kinetics incorporating pharmacokinetic and pharmacodynamic parameters. Although PEG-IFN concentrations and pharmacokinetic parameters were similar in sustained virological responders (SVRs) and nonresponders (NRs), the PEG-IFN α-2b concentration that decreases HCV production by 50%(EC50) was lower in SVRs compared with NRs (0.04 vs. 0.45 μg/L [P = .014]). Additionally, the median therapeutic quotient (i.e., the ratio between average PEG-IFN concentration and EC50 [ ˉC/EC50]), and the PEG-IFN concentration at day 7 divided by EC50 (C(7)/EC50) were significantly increased in SVRs compared with NRs after the first (10.1 vs. 1.0 [P = .012], 2.8 vs. 0.3 [P = .007], respectively) and second (14.0 vs. 1.1 [P = .016], 5.4 vs. 0.4 [P = .02], respectively) PEG-IFN doses. All 3 parameters may be used to identify NRs. In conclusion, PEG-IFN concentrations and pharmacokinetic parameters do not differ between SVRs and NRs. In contrast, pharmacodynamic measurements-namely EC50, the therapeutic quotient, and C(7)/EC50-are different in coinfected SVRs and NRs. These parameters might be useful predictors of treatment outcome during the first month of therapy.展开更多
Objective: Cancer immunotherapy has made remarkable advances in recent years, but its effectiveness in treating gastric cancer is often limited by the complexity of the tumor microenvironment and the lack of effective...Objective: Cancer immunotherapy has made remarkable advances in recent years, but its effectiveness in treating gastric cancer is often limited by the complexity of the tumor microenvironment and the lack of effective biomarkers. This study aimed to identify effective biomarkers for immunotherapy treatment by characterizing the tumor microenvironment.Methods: We retrieved the RNA-seq data from gastric cancer patients treated with the programmed death 1(PD-1) blockade pembrolizumab. Differentially expressed genes associated with clinical outcomes were identified and further analyzed using gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. Gene signature scores were calculated by single sample Gene Set Enrichment Analysis(ssGSEA). The infiltration levels of immune cells were quantified using the xCell website. Cell type enrichment analysis was performed to compare treatment response and non-response groups, and regression analysis was used to investigate the relationship between interferon gamma(IFNγ) immune response and immune cell infiltration. Biomarkers were identified using least absolute shrinkage and selection operator(LASSO) analysis.Results: Compared to normal tissues, cytokine activity and interleukin-6 production were highly activated in gastric tumors. Responders to pembrolizumab showed significantly up-regulated expression of IFNγ responserelated genes. Cell type enrichment analysis revealed that Th1 cells were significantly enriched in the tumor microenvironment of responders. Regression analysis indicated that Th1 cells induced IFNγ response more efficiently than other cell types. Using signatures of Th1 cells, stromal cells and IFNγ response, a set of eight genes were identified that effectively predicted the efficacy of immunotherapy treatment and patient prognosis.Conclusions: Th1 cells promote therapeutic efficacy of PD-1 blockade by promoting IFNγ immune response in gastric cancer. The identified biomarkers have the potential to improve the effectiveness of immunotherapy treatment for gastric cancer patients.展开更多
文摘To study the effect of Trastuzumab in combination with IFN α-2b on HER2 and MRP1 of ACHN in vitro, ACHN cell line of RCC was cultured by employing cell culture. The tetrazolium-based colorimetric assay was used to evaluate the growth-inhibiting effect of Trastuzumab with IFN α-2b. SP method was utilized to determine the expression of HER2 and MRP1 of the cells. Our results showed that Trastuzumab had inhibitory effect on the growth of renal tumor cells and reversing effect on the multi-drug-resistance (MDR) in RCC in a time- and dose-dependent manner. Treated with Trastuzumab with or without IFN α-2b, the expression of HER2 and MRP1 genes of RCC was decreased significantly (P<0.05). It was concluded that Trastuzumab with IFN α-2b could inhibit the proliferation of RCC and the expression of HER2 and MRP1 of ACHN and to some extent, reverse the MDR of the tumor cells.
文摘Pegylated interferon (PEG-IFN) has become standard therapy for hepatitis C virus (HCV) infection. We evaluated whether PEG-IFN pharmacodynamics and pharmacokinetics account for differences in treatment outcome and whether these parameters might be predictors of therapeutic outcome. Twenty-four IFN-nave, HCV/human immunodeficiency virus-coinfected patients received PEG-IFN α-2b (1.5 μg/kg) once weekly plus daily ribavirin (1,000 or 1,200 mg) for up to 48 weeks. HCV RNA and PEG-IFN αconcentrations were obtained from samples collected frequently after the first 3 PEG-IFN doses. We modeled HCV kinetics incorporating pharmacokinetic and pharmacodynamic parameters. Although PEG-IFN concentrations and pharmacokinetic parameters were similar in sustained virological responders (SVRs) and nonresponders (NRs), the PEG-IFN α-2b concentration that decreases HCV production by 50%(EC50) was lower in SVRs compared with NRs (0.04 vs. 0.45 μg/L [P = .014]). Additionally, the median therapeutic quotient (i.e., the ratio between average PEG-IFN concentration and EC50 [ ˉC/EC50]), and the PEG-IFN concentration at day 7 divided by EC50 (C(7)/EC50) were significantly increased in SVRs compared with NRs after the first (10.1 vs. 1.0 [P = .012], 2.8 vs. 0.3 [P = .007], respectively) and second (14.0 vs. 1.1 [P = .016], 5.4 vs. 0.4 [P = .02], respectively) PEG-IFN doses. All 3 parameters may be used to identify NRs. In conclusion, PEG-IFN concentrations and pharmacokinetic parameters do not differ between SVRs and NRs. In contrast, pharmacodynamic measurements-namely EC50, the therapeutic quotient, and C(7)/EC50-are different in coinfected SVRs and NRs. These parameters might be useful predictors of treatment outcome during the first month of therapy.
基金financially supported by the National Natural Science Foundation of China (No. 82030079, 82341005, 81972656 and 82173035)the National Science and Technology Major Project of China (No. 2022YFC3400 901)Sino-Russian Math Center in PKU。
文摘Objective: Cancer immunotherapy has made remarkable advances in recent years, but its effectiveness in treating gastric cancer is often limited by the complexity of the tumor microenvironment and the lack of effective biomarkers. This study aimed to identify effective biomarkers for immunotherapy treatment by characterizing the tumor microenvironment.Methods: We retrieved the RNA-seq data from gastric cancer patients treated with the programmed death 1(PD-1) blockade pembrolizumab. Differentially expressed genes associated with clinical outcomes were identified and further analyzed using gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. Gene signature scores were calculated by single sample Gene Set Enrichment Analysis(ssGSEA). The infiltration levels of immune cells were quantified using the xCell website. Cell type enrichment analysis was performed to compare treatment response and non-response groups, and regression analysis was used to investigate the relationship between interferon gamma(IFNγ) immune response and immune cell infiltration. Biomarkers were identified using least absolute shrinkage and selection operator(LASSO) analysis.Results: Compared to normal tissues, cytokine activity and interleukin-6 production were highly activated in gastric tumors. Responders to pembrolizumab showed significantly up-regulated expression of IFNγ responserelated genes. Cell type enrichment analysis revealed that Th1 cells were significantly enriched in the tumor microenvironment of responders. Regression analysis indicated that Th1 cells induced IFNγ response more efficiently than other cell types. Using signatures of Th1 cells, stromal cells and IFNγ response, a set of eight genes were identified that effectively predicted the efficacy of immunotherapy treatment and patient prognosis.Conclusions: Th1 cells promote therapeutic efficacy of PD-1 blockade by promoting IFNγ immune response in gastric cancer. The identified biomarkers have the potential to improve the effectiveness of immunotherapy treatment for gastric cancer patients.
