Background Immune checkpoint inhibitors (ICIs) have witnessed the achievements of convincing clinical benefits that feature the significantly prolonged overall survival (OS) of patients suffering from advanced non-small cell lung cancer (NSCLC), according to reports recently. Sensitivity to immunotherapy is related to several biomarkers, such as PD-L1 expression, TMB level, MSI-H and MMR. However, a further investigation into the novel biomarkers of the prognosis on ICIs treatment is required. In addition, there is an urgent demand for the establishment of a systematic hazard model to assess the efficacy of ICIs therapy for advanced NSCLC patients. Methods In this study, the gene mutation and clinical data of NSCLC patients was obtained from the TCGA database, followed by the analysis of the detailed clinical information and mutational data relating to two advanced NSCLC cohorts receiving the ICIs treatment from the cBioPortal of Cancer Genomics. The Kaplan–Meier plot method was used to perform survival analyses, while selected variables were adopted to develop a systematic nomogram. The prognostic significance of ERBB4 in pan-cancer was analyzed by another cohort from the cBioPortal of Cancer Genomics. Results The mutation frequencies of TP53 and ERBB4 were 54% and 8% in NSCLC, respectively. The mutual exclusive analysis in cBioPortal has indicated that ERBB4 does show co-occurencing mutations with TP53. Patients with ERBB4 mutations were confirmed to have better prognosis for ICIs treatment, compared to those seeing ERBB4 wild type (PFS: exact p = 0.017; OS: exact p < 0.01) and only TP53 mutations (OS: p = 0.021). The mutation status of ERBB4 and TP53 was tightly linked to DCB of ICIs treatment, PD-L1 expression, TMB value, and TIICs. Finally, a novel nomogram was built to evaluate the efficacy of ICIs therapy. Conclusion ERBB4 mutations could serve as a predictive biomarker for the prognosis of ICIs treatment. The systematic nomogram was proven to have the great potential for evaluating the efficacy of ICIs therapy for advanced NSCLC patients.
Background There is an unmet need to identify novel predictive biomarkers that enable more accurate identification of individuals who can benefit from immune checkpoint inhibitor (ICI) therapy. The US FDA recently approved tumor mutational burden (TMB) score of ≥ 10 mut/Mb as a threshold for pembrolizumab treatment of solid tumors. Our study aimed to test the hypothesis that specific gene mutation signature may predict the efficacy of ICI therapy more precisely than high TMB (≥ 10). Methods We selected 20 candidate genes that may predict for the efficacy of ICI therapy by the analysis of data from a published cohort of 350 advanced non-small cell lung cancer (NSCLC) patients. Then, we compared the influences of various gene mutation signatures on the efficacy of ICI treatment. They were also compared with PD-L1 and TMB. The Kaplan-Meier method was utilized to evaluate the prognosis univariates, while selected univariates were adopted to develop a systematic nomogram. Results A high mutation signature, where three or more of the 20 selected genes were mutated, was associated with the significant benefits of ICI therapy. Specifically, patients with high mutation signature were confirmed to have better prognosis for ICI treatment, compared with those with wild type (the median PFS: 7.17 vs. 2.90 months, p = 0.0004, HR = 0.47 (95% [CI]:0.32–0.68); the median OS: unreached vs. 9 months, p = 1.8E-8, HR = 0.17 (95% [CI]:0.11–0.25)). Moreover, those patients with the high mutation signature achieved significant ICI treatment benefits, while there was no difference of OS and PFS between patients without the signature but TMB-H (≥ 10) and those without the signature and low TMB(< 10). Finally, we constructed a novel nomogram to evaluate the efficacy of ICI therapy. Conclusion A high mutational signature with 3 or more of the 20-gene panel could provide more accurate predictions for the outcomes of ICI therapy than TMB ≥ 10 in NSCLC patients.
In previous study we reported that pretreatment with plasmolysis enhanced somatic embryo formation in hypocotyls of Eleutherococcus senticosus. In the present study, the expression level of callose synthase gene in embryos of E. senticosus in response to 2,4-D, sucrose and mannitol treatments was analyzed by RT-PCR. The results show that plasmolysis pretreatment using sucrose and mannitol significantly promoted the expression of callose synthase gene. Also, the thicker cell walls of explant plasmolyzed compared with controls were observed during the somatic embryogenesis. We suggest that the callose may make the cells in epidermis separate from neighboring cells and then develop into embryogenic potential cells.
Introduction: Recently, immune checkpoint inhibitors (ICIs) has been reported to achieved convincing clinical benefits and significantly prolonged the overall survival (OS) of advanced non-small cell lung cancer (NSCLC) patients. Sensitivity to immunotherapy was related to several biomarkers, such as PD-L1 expression, TMB level, MSI-H and MMR. However, novel biomarkers for the prognosis to ICIs treatment need to be further investigated, and it is an urgent demand to establish a systematic hazard model to assess the efficacy of ICIs therapy for advanced NSCLC patients.Methods: In this study, gene mutation and clinical data of NSCLC patients was obtained from the TCGA database. Then, we analyzed the detailed clinical information and mutational data of two advanced NSCLC cohorts received ICIs treatment from the cBioPortal for Cancer Genomics. The Kaplan-Meier plot method was used to perform survival analyses, selected variables were used to develop a systematic nomogram. The prognostic significance of ERBB4 in pan-cancer was analyzed by another cohort from cBioPortal for Cancer Genomics.Results: Mutation frequencies of TP53 and ERBB4 was 54% and 8% in NSCLC, respectively. Mutual exclusive analysis in cBioPortal indicated that ERBB4 does show co-occurencing mutations with TP53. Patients harbored ERBB4 mutations were confirmed to have a better prognosis for ICIs treatment, compared to ERBB4 wild type (PFS: p=0.0360; OS: p=0.0378) and only TP53 mutations (OS: p=0.021). The mutation status of ERBB4 and TP53 are tightly linked to DCB for ICIs treatment, PD-L1 expression, TMB value and TIICs. Finally, a novel nomogram was built to evaluate the efficacy of ICIs therapy.Conclusion: ERBB4 mutations could serve as a predicting biomarker for prognosis of ICIs treatment. The systematic nomogram was proven to have a great potential to evaluate the efficacy of ICIs therapy for advanced NSCLC patients.
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