Investigation of immune escape-associated mutations of hepatitis B virus in patients harboring hepatitis B virus drug-resistance mutations

It is unclear whether immune escape-associated mutations in the major hydrophilic region of hepatitis B virus surface antigen(HBsAg)are associated with nucleoside/nucleotide analog resistance.AIM To evaluate the association between immune escape-associated mutations and nucleoside/nucleotide analog resistance mutations.METHODS In total,19440 patients with chronic hepatitis B virus infection,who underwent resistance testing at the Fifth Medical Center of Chinese PLA General Hospital between July 2007 and December 2017,were enrolled.As determined by sequence analysis,6982 patients harbored a virus with resistance mutations and 12458 harbored a virus lacking resistance mutations.Phenotypic analyses were performed to evaluate HBsAg production,replication capacity,and drug-induced viral inhibition of patient-derived drug-resistant mutants with or without the coexistence of sA159V.RESULTS The rate of immune escape-associated mutation was significantly higher in 9 of the 39 analyzed mutation sites in patients with resistance mutations than in patients without resistance mutations.In particular,these mutations were sQ101H/K/R,sS114A/L/T,sT118A/K/M/R/S/V,sP120A/L/Q/S/T,sT/I126A/N/P/S,sM133I/L/T,sC137W/Y,sG145A/R,and sA159G/V.Among these,sA159V was detected in 1.95%(136/6982)of patients with resistance mutations and 1.08%(134/12,458)of patients lacking resistance mutations(P<0.05).The coexistence of sA159V with lamivudine(LAM)and entecavir(ETV)-resistance mutations in the same viral genome was identified during follow-up in some patients with drug resistance.HBsAg production was significantly lower and the replication capacity was significantly higher,without a significant difference in LAM/ETV susceptibility,in sA159V-containing LAM/ETV-resistant mutants than in their sA159V-lacking counterparts.CONCLUSION In summary,we observed a close link between the increase in certain immune escape-associated mutations and the development of resistance mutations.sA159V might increase the fitness of LAM/ETV-resistant mutants under environmental pressure in some cases.

A New Method for Fastening the Convergence of Immune Algorithms Using an Adaptive Mutation Approach

This paper presents a new adaptive mutation approach for fastening the convergence of immune algorithms (IAs). This method is adopted to realize the twin goals of maintaining diversity in the population and sustaining the convergence capacity of the IA. In this method, the mutation rate (pm) is adaptively varied depending on the fitness values of the solutions. Solutions of high fitness are protected, while solutions with sub-average fitness are totally disrupted. A solution to the problem of deciding the optimal value of pm is obtained. Experiments are carried out to compare the proposed approach to traditional one on a set of optimization problems. These are namely: 1) an exponential multi-variable function;2) a rapidly varying multimodal function and 3) design of a second order 2-D narrow band recursive LPF. Simulation results show that the proposed method efficiently improves IA’s performance and prevents it from getting stuck at a local optimum.

Gene mutation analysis and immune checkpoint therapy in head and neck squamous cell carcinoma

Immune checkpoint inhibitors(ICI),represented by blocked programmed cell death-1(PD-1),is a group of novel medicines for anti-tumor immunotherapy.It has been approved by the U.S.Food and Drug Administration(FDA)in recent years for relapsed or metastatic head and neck squamous cell carcinoma(HNSCC),and brings promising treatment prospects.However,the instability caused by tumor gene mutations significantly compromises the therapeutic effect of ICI.Therefore,the identification and analysis of HNSCC gene mutations can further guide and optimize the application of ICIs in HNSCC.In this study,we preliminarily described the clinical research progress of ICI therapy and the potential immune escape mechanism in HNSCC.An overview of complete HNSCC gene mutation results was generated from the bioinformatics study of TCGA database to further explain and analyze the relevant molecular mechanisms,which may aid in designing future personalized therapeutic strategies for HNSCC patients.

Immune clonal selection optimization method with combining mutation strategies

In artificial immune optimization algorithm, the mutation of immune cells has been considered as the key operator that determines the algorithm performance. Traditional immune optimization algorithms have used a single mutation operator, typically a Gaussian. Using a variety of mutation operators that can be combined during evolution to generate different probability density function could hold the potential for producing better solutions with less computational effort. In view of this, a linear combination mutation operator of Gaussian and Cauchy mutation is presented in this paper, and a novel clonal selection optimization method based on clonal selection principle is proposed also. The simulation results show the combining mutation strategy can obtain the same performance as the best of pure strategies or even better in some cases.

Therapeutic guidance of tumor mutation burden on immune checkpoint inhibitors in advanced non-small cell lung cancer:a systematic review and comprehensive meta-analysis

Background:Tumor mutation burden(TMB)remains a promising but ambiguous predictive biomarker for the efficacy of immune checkpoint inhibitors(ICIs).We investigated the predictive value of TMB in patients with advanced non-small cell lung cancer(NSCLC)treated by ICI-containing therapies under strictly matched clinical settings.Methods:PubMed,Embase,Cochrane Central,ClinicalTrials.gov,and bioRxiv databases were searched till October 16,2021.All randomized controlled trials(RCTs)that compared patients with high TMB(TMB-H)and low TMB(TMB-L)and provided hazard ratio(HR)and corresponding 95%confidence interval(CI)in advanced NSCLC patients receiving ICIs were included,and mirror-based meta-analysis was performed(Part1).Bayesian network meta-analysis was conducted to investigate the efficacy of distinct first-line regimens in TMB-H and TMB-L groups(Part2).Public cohorts were used for validation and further exploration(Part3).Results:Twelve RCTs(n=5527)and 5 public cohorts(n=573)were included.In Part1,TMB-H patients generally exhibited a more significant progression-free survival(PFS)benefit from ICI-containing therapies compared to TMB-L patients(HR=0.58,95%CI:0.49-0.67,P<0.0001).In Part2,anti-PD-1 plus chemotherapy ranked best for PFS in both TMB-H and TMB-L groups.Anti-PD-L1 plus anti-CTLA-4 therapies indicated better PFS and overall survival(OS)benefit than single ICI and chemotherapy in the TMB-H group,but ranked worst in the TMB-L group.Finally,TMB was validated to be an independent predictive biomarker from programmed cell death-ligand 1(PD-L1)expression in Part3,which could further distinguish beneficiaries of ICI-containing therapies with PD-L1<50%.Conclusion:TMB-H could be a predictive biomarker independent of PD-L1 expression to identify beneficiaries of ICI-containing therapy in advanced NSCLC patients.

Early-onset refractory diarrhea due to immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome associated with a novel mutation in the FOXP3 gene: A case report

BACKGROUND Immune dysregulation,polyendocrinopthy,enteropathy,X-linked(IPEX)syndrome is a rare X-linked recessive disease caused by mutations in the forkhead box protein 3(FOXP3)gene,which is a master transcriptional regulator for the development and function of CD4+CD25+regulatory T(Treg)cells.The dysfunction of these cells leads to multiple system autoimmune diseases.We present a case of IPEX due to a mutation not reported in the literature before.CASE SUMMARY We report a male patient with IPEX syndrome who presented with refractory diarrhea and malabsorption leading to failure to thrive,as well as with hypothyroidism and nephrotic syndrome.Laboratory investigation showed increased total IgE and Treg cells,decreased free triiodothyronine(FT3)and free thyroxine(FT4),and proteinuria.Multiple dietary and supportive treatments were introduced but did not improve the diarrhea during his hospital stay.Ultimately,whole exome sequencing revealed that the patient was hemizygous for the exon 5,c.542G>A(p.Ser181Asn)mutation of the FOXP3 gene,which has not been previously reported.The patient remains on prednisone and euthyrox while awaiting hematopoietic stem cell transplantation at the time of the compilation of this case report.CONCLUSION We report a novel FOXP3 gene mutation involved in IPEX.A high level of suspicion should be maintained in an early-onset refractory diarrhea patient.

Covid-19 Mutations and the Effect of Different Vaccines on Immune Memory

We traced the coronavirus classification and evolution,analyzed the Covid-19 composition and its distinguishing characteristics when compared to SARS-CoV and MERS-CoV.Despite their close kinship,SARS-CoV and Covid-19 display significant structural differences,including 380 amino acid substitutions,and variable homology between certain open reading frames that are bound to diversify the pathogenesis and virulence of the two viral compounds.A single amino acid substitution such as replacing Aspartate(D)with Glycine(G)composes the D614G mutation that is around 20%more infectious than its predecessor 614D.The B117 variant,that exhibits a 70%transmissibility rate,harbours 23 mutants,each reflecting one amino acid exchange.We examined several globally spreading mutations,501.V2,B1351,P1,and others,with respect to the specific amino acid conversions involved.Unlike previous versions of coronavirus,where random mutations eventually precipitate extinction,the multiplicity of over 300,000 mutations appears to have rendered Covid-19 more contagious,facilitating its ability to evade detection,thus challenging the effectiveness of a large variety of emerging vaccines.Vaccination enhances immune memory and intelligence to combat or obstruct viral entry by generating antibodies that will prohibit the cellular binding and fusion with the Spike protein,restricting the virus from releasing its contents into the cell.Developing antibodies during the innate response,appears to be the most compelling solution in light of the hypothesis that Covid-19 inhibits the production of Interferon type I,compromising adaptive efficiency to recognize the virus,possibly provoking a cytokine storm that injures vital organs.With respect to that perspective,the potential safety and effectiveness of different vaccines are evaluated and compared,including the Spike protein mRNA version,the Adenovirus DNA,Spike protein subunits,the deactivated virus genres,or,finally,the live attenuated coronavirus that appears to demonstrate the greatest effectiveness,yet,encompass a relatively higher risk.

Mutation in the Agrobacterium his I gene enhances transient expression in pepper

Agrobacterium-mediated plant transformation is widely used in plant genetic engineering.However,its efficiency is limited by plant immunity against Agrobacterium.Chili pepper(Capsicum annuum L.)is an important vegetable that is recalcitrant to Agrobacterium-mediated transformation.In this work,Agrobacterium was found to induce a strong immune response in pepper,which might be the reason for T-DNA being difficult to express in pepper.An Agrobacterium mutant screen was conducted and a point mutation in the hisI gene was identified due to a weak immune response and enhanced transient expression mediated by this Agrobacterium mutant in pepper leaves.Further genetic analysis revealed that histidine biosynthesis deficiency caused by mutations in many genes of this pathway led to reduced pepper cell death,presumably due to reduced bacterial growth.However,mutation analysis of threonine and tryptophan biosynthesis genes showed that the biosynthesis of different amino acids may play different roles in Agrobacterium growth and stimulating the pepper immune response.The possible application of Agrobacterium amino acid biosynthesis mutations in plant biology was discussed.

Immune status and combined immunotherapy progression in Kirsten rat sarcoma viral oncogene homolog(KRAS)-mutant tumors

Kirsten rat sarcoma viral oncogene homolog(KRAS)is the most frequently mutated oncogene,occurring in various tumor types.Despite extensive efforts over the past 40 years to develop inhibitors targeting KRAS mutations,resistance to these inhibitors has eventually emerged.A more precise understanding of KRAS mutations and the mechanism of resistance development is essential for creating novel inhibitors that target specifically KRAS mutations and can delay or overcome resistance.Immunotherapy has developed rapidly in recent years,and in-depth dissection of the tumor immune microenvironment has led researchers to shift their focus to patients with KRAS mutations,finding that immune factors play an essential role in KRAS-mutant(KRAS-Mut)tumor therapy and targeted drug resistance.Breakthroughs and transitions from targeted therapy to immunotherapy have provided new hope for treating refractory patients.Here,we reviewed KRAS mutation-targeted treatment strategies and resistance issues,focusing on our in-depth exploration of the specific immune status of patients with KRAS mutations and the impact of body immunity following KRAS inhibition.We aimed to guide innovative approaches combining RAS inhibition with immunotherapy,review advances in preclinical and clinical stages,and discuss challenges and future directions.

Accurate Diagnosis of SARS-CoV-2 JN.1 by Sanger Sequencing of Receptor-Binding Domain Is Needed for Clinical Evaluation of Its Immune Evasion

Background: Omicron JN.1 has become the dominant SARS-CoV-2 variant in recent months. JN.1 has the highest number of amino acid mutations in its receptor binding domain (RBD) and has acquired a hallmark L455S mutation. The immune evasion capability of JN.1 is a subject of scientific investigation. The US CDC used SGTF of TaqPath COVID-19 Combo Kit RT-qPCR as proxy indicator of JN.1 infections for evaluation of the effectiveness of updated monovalent XBB.1.5 COVID-19 vaccines against JN.1 and recommended that all persons aged ≥ 6 months should receive an updated COVID-19 vaccine dose. Objective: Recommend Sanger sequencing instead of proxy indicator to diagnose JN.1 infections to generate the data based on which guidelines are made to direct vaccination policies. Methods: The RNA in nasopharyngeal swab specimens from patients with clinical respiratory infection was subjected to nested RT-PCR, targeting a 398-base segment of the N-gene and a 445-base segment of the RBD of SARS-CoV-2 for amplification. The nested PCR amplicons were sequenced. The DNA sequences were analyzed for amino acid mutations. Results: The N-gene sequence showed R203K, G204R and Q229K, the 3 mutations associated with Omicron BA.2.86 (+JN.1). The RBD sequence showed 24 of the 26 known amino acid mutations, including the hallmark L455S mutation for JN.1 and the V483del for BA.2.86 lineage. Conclusions: Sanger sequencing of a 445-base segment of the SARS-CoV-2 RBD is useful for accurate determination of emerging variants. The CDC may consider using Sanger sequencing of the RBD to diagnose JN.1 infections for statistical analysis in making vaccination policies.

Evaluation of 30 DNA damage response and 6 mismatch repair gene mutations as biomarkers for immunotherapy outcomes across multiple solid tumor types

Objective:DNA damage response(DDR)genes have low mutation rates,which may restrict their clinical applications in predicting the outcomes of immune checkpoint inhibitor(ICI)treatment.Thus,a systemic analysis of multiple DDR genes is needed to identify potential biomarkers of ICI efficacy.Methods:A total of 39,631 patients with mutation data were selected from the cBioPortal database.A total of 155 patients with mutation data were obtained from the Fudan University Shanghai Cancer Center(FUSCC).A total of 1,660 patients from the MSK-IMPACT cohort who underwent ICI treatment were selected for survival analysis.A total of 249 patients who underwent ICI treatment from the Dana-Farber Cancer Institute(DFCI)cohort were obtained from a published dataset.The Cancer Genome Atlas(TCGA)level 3 RNA-Seq version 2 RSEM data for gastric cancer were downloaded from cBioPortal.Results:Six MMR and 30 DDR genes were included in this study.Six MMR and 20 DDR gene mutations were found to predict the therapeutic efficacy of ICI,and most of them predicted the therapeutic efficacy of ICI,in a manner dependent on TMB,except for 4 combined DDR gene mutations,which were associated with the therapeutic efficacy of ICI independently of the TMB.Single MMR/DDR genes showed low mutation rates;however,the mutation rate of all the MMR/DDR genes associated with the therapeutic efficacy of ICI was relatively high,reaching 10%–30%in several cancer types.Conclusions:Coanalysis of multiple MMR/DDR mutations aids in selecting patients who are potential candidates for immunotherapy.

Molecular heterogeneity of anti-PD-1/PD-L1 immunotherapy efficacy is correlated with tumor immune microenvironment in East Asian patients with non-small cell lung cancer

Objective:The aim of this study was to investigate how the tumor immune microenvironment differs regarding tumor genomics,as well as its impact on prognoses and responses to immunotherapy in East Asian patients with non-small cell lung cancer(NSCLC).Methods:We performed an integrated analysis using publicly available data to identify associations between anti-programmed death 1(PD-1)/programmed death-ligand 1(PD-L1)immunotherapy efficacy and classic driver oncogene mutations in East Asian NSCLC patients.Four pooled and clinical cohort analyses were used to correlate driver oncogene mutation status and tumor microenvironment based on PD-L1 and CD8+tumor-infiltrating lymphocytes(TILs).Immune infiltrating patterns were also established for genomic NSCLC subgroups using the CIBERSORT algorithm.Results:Based on East Asian NSCLC patients,TIDE analyses revealed that for anti-PD-1/PD-L1 immunotherapy,epidermal growth factor receptor(EGFR)-mutant and anaplastic lymphoma kinase(ALK)-rearranged tumors yielded inferior responses;however,although Kirsten rat sarcoma viral oncogene homolog(KRAS)-mutant tumors responded better,the difference was not statistically significant(EGFR:P=0.037;ALK:P<0.001;KRAS:P=0.701).Pooled and clinical cohort analyses demonstrated tumor immune microenvironment heterogeneities correlated with oncogenic patterns.The results showed remarkably higher PD-L1-and TIL-positive KRAS-mutant tumors,suggesting KRAS mutations may drive an inflammatory phenotype with adaptive immune resistance.However,the EGFR-mutant or ALK-rearranged groups showed a remarkably higher proportion of PD-L1-/TIL-tumors,suggesting an uninflamed phenotype with immunological ignorance.Notably,similar to triple wild-type NSCLC tumors,EGFR L858R-mutant tumors positively correlated with an inflammatory phenotype,suggesting responsiveness to anti-PD-1/PD-L1 immunotherapy(P<0.05).Furthermore,the CIBERSORT algorithm results revealed that EGFR-mutant and ALK-rearranged tumors were characterized by an enriched resting memory CD4+T cell population(P<0.001),as well as a lack of CD8+T cells(P<0.01),and activated memory CD4+T cells(P=0.001).Conclusions:Our study highlighted the complex relationships between immune heterogeneity and immunotherapeutic responses in East Asian NSCLC patients regarding oncogenic dependence.

Clone Selection Algorithm with Niching Strategy for Computer Immune System

A clone selection algorithm for computer immune system is presented. Clone selection principles in biological immune system are applied to the domain of computer virus detection. Based on the negative selection algorithm proposed by Stephanie Forrest, combining mutation operator in genetic algorithms and niching strategy in biology is adopted, the number of detectors is decreased effectively and the ability on self-nonself discrimination is improved. Simulation experiment shows that the algorithm is simple, practical and is adapted to the discrimination for long files.

Mining The Cancer Genome Atlas database for tumor mutation burden and its clinical implications in gastric cancer

BACKGROUND Tumor mutational burden(TMB)is an important independent biomarker for the response to immunotherapy in multiple cancers.However,the clinical implications of TMB in gastric cancer(GC)have not been fully elucidated.AIM To explore the landscape of mutation profiles and determine the correlation between TMB and microRNA(miRNA)expression in GC.METHODS Genomic,transcriptomic,and clinical data from The Cancer Genome Atlas were used to obtain mutational profiles and investigate the statistical correlation between mutational burden and the overall survival of GC patients.The difference in immune infiltration between high-and low-TMB subgroups was evaluated by Wilcoxon rank-sum test.Furthermore,miRNAs differentially expressed between the high-and low-TMB subgroups were identified and the least absolute shrinkage and selection operator method was employed to construct a miRNA-based signature for TMB prediction.The biological functions of the predictive miRNAs were identified with DIANA-miRPath v3.0.RESULTS C>T single nucleotide mutations exhibited the highest mutation incidence,and the top three mutated genes were TTN,TP53,and MUC16 in GC.High TMB values(top 20%)were markedly correlated with better survival outcome,and multivariable regression analysis indicated that TMB remained prognostic independent of TNM stage,histological grade,age,and gender.Different TMB levels exhibited different immune infiltration patterns.Significant differences between the high-and low-TMB subgroups were observed in the infiltration of CD8+T cells,M1 macrophages,regulatory T cells,and CD4+T cells.In addition,we developed a miRNA-based signature using 23 differentially expressed miRNAs to predict TMB values of GC patients.The predictive performance of the signature was confirmed in the testing and the whole set.Receiver operating characteristic curve analysis demonstrated the optimal performance of the signature.Finally,enrichment analysis demonstrated that the set of miRNAs was significantly enriched in many key cancer and immune-related pathways.

Adaptive immune-genetic algorithm for global optimization to multivariable function

An adaptive immune-genetic algorithm （AIGA） is proposed to avoid premature convergence and guarantee the diversity of the population. Rapid immune response （secondary response）, adaptive mutation and density operators in the AIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and decrease locating the local maxima due to the premature convergence. The simulation results obtained from the global optimization to four multivariable and multi-extreme functions show that AIGA converges rapidly, guarantees the diversity, stability and good searching ability.

Adaptive immune response during hepatitis C virus infection

Hepatitis C virus(HCV)infection affects about 170 million people worldwide and it is a major cause of liver cirrhosis and hepatocellular carcinoma.HCV is a hepatotropic non-cytopathic virus able to persist in a great percentage of infected hosts due to its ability to escape from the immune control.Liver damage and disease progression during HCV infection are driven by both viral and host factors.Specifically,adaptive immune response carries out an essential task in controllingnon-cytopathic viruses because of its ability to recognize infected cells and to destroy them by cytopathic mechanisms and to eliminate the virus by non-cytolytic machinery.HCV is able to impair this response by several means such as developing escape mutations in neutralizing antibodies and in T cell receptor viral epitope recognition sites and inducing HCV-specific cytotoxic T cell anergy and deletion.To impair HCV-specific T cell reactivity,HCV affects effector T cell regulation by modulating T helper and Treg response and by impairing the balance between positive and negative co-stimulatory molecules and between pro-and antiapoptotic proteins.In this review,the role of adaptive immune response in controlling HCV infection and the HCV mechanisms to evade this response are reviewed.

THE HUMORAL AND CELLULAR IMMUNE RESPONSES INDUCED BY HPV18L1-E6/E7 DNA VACCINES IN MICE

Objective To construct eukaryotic expression vector of HPV18 L1-E6, E7 chimeric gene and examine the humoral and cellular immune responses induced by this DNA vaccines in mice. Methods The C-terminal of major capsid protein L1 gene and mutant zinc finger domains of early E6/7 oncogenes in HPV18 were integrated and inserted into eukaryotic expression vector pVAX1 to generate vaccines pVAX1-L1E6Mxx, E7Mxx. CHO cells were transiently transfected with the individual construct. Target protein expressions in the lysate of the transfected cells were measured by ELISA and immunocytochemistry. After BALB/c mice were vaccinated with various recombinant plasmids(pVAX1-L1-E6M3 or pVAX1-L1-E7M3) and immunie adjuvants (pLXHDmB7-2 or LTB) through different administration routes (intramuscular or intranasal) , the great cellular immune responses were produced as revealed by delayed-type hypersensitivity (DTH) and lymphocyte proliferation, and the expression of IL-4 and IFN-γ cells in CD4 + and CD8 + subpopulations. Results The highly efficient expression of pVAX1-L1E6Mxx, E7Mxx vector in host eukaryotic cells were demonstrated both by ELISA and immunocytochemistry. The level of specific serum IgG against HPV in experiment groups mice was much higher than that of control group, and intranuscular immunization group had the highest antibody level. Intramuscular immunization groups were superior to intranasal immunization groups in DTH response, splenocyte proliferation and CD8+ IFN-γ + cells number, but CD4 + IL4 + cell number was higher in intranasal immunization groups. The immunization groups using pLXHDmB7-2 as adjuvant were superior to other groups in immunoresponse. Conclusion These DNA vaccines produce remarkable cellular and humoral immune responses in the mouse and may provide as prophylatic and therapeutic candidates for HPV induced cancer treatment.

ISS:Efficient Search Scheme Based on Immune Method in Modern Unstructured Peer-to-Peer Networks

Flooding is the most famous technique for locating contents in unstructured P2P networks. Recently traditional flooding has been replaced by more efficient dynamic query （DQ） and different variants of such algorithms. Dynamic query is a new flooding technique which could estimate a proper time-to-live （TTL） value for a query flooding by estimating the popularity of the searched files, and retrieve sufficient results under controlled flooding range for reducing network traffic. However, all DQ-like search algorithms are ＂blind＂ so that a large amount of redundant messages are caused. In this paper, we proposed a new search scheme, called Immune Search Scheme （ISS）, to cope with this problem. In ISS, an immune systems inspired concept of similarity-governed clone proliferation and mutation for query message movement is applied. Some assistant strategies, that is, shortcuts creation and peer traveling are incorporated into ISS to develop ＂immune memory＂ for improving search performance, which can make ISS not be blind but heuristic.

A cooperative Co-evolutional immune algorithm

A co-evolutional immune algorithm for the optimization of a function with real parameters is de-scribed.It uses a cooperative co-evolution of two populations,one is a population of antibodies and theother is a population of successful mutation vectors.These two population evolve together to improve thediversity of the antibodies.The algorithm described is then tested on a suite of optimization problems.The results show that on most of test functions,this algorithm can converge to the global optimum atquicker rate in a given range,the performance of optimization is improved effetely.

ABCC8 is correlated with immune cell infiltration and overall survival in lower grade glioma

ATP binding cassette subfamily C member 8(ABCC8)encodes a protein regulating the ATP-sensitive potassium channel.Whether the level of ABCC8 mRNA in lower grade glioma(LGG)correlates with immune cell infiltration and patient outcomes has not been evaluated until now.Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets.The association between ABCC8 and tumor immune cell infiltration,diverse gene mutation characteristics,tumor mutation burden(TMB),and survival in LGG was also investigated in several independent datasets.Pathway enrichment analysis was conducted to search for ABCC8-associated signaling pathways.Through an online database,we found that ABCC8 expression in LGG was lower than in normal tissues.Then,the association of ABCC8 expression and immune cell infiltration in LGG was discussed.As we expected,the ABCC8 mRNA levels were negatively associated with non-T immune cell infiltration levels in all datasets.Consistently,TCGA_LGG RNA-seq data revealed that ABCC8 downregulated several non-T immune cell-associated signaling pathways in gene set enrichment analysis.Different ABCC8 expression groups showed diverse gene mutation characteristics and TMB.The high expression of ABCC8 was linked to improved survival of LGG patients.A pathway enrichment analysis of ABCC8-associated genes indicated that the GABAergic synapse signaling pathway might be involved in regulating immunity in LGG.Our findings show that ABCC8 reflects LGG tumor immunity and is an ideal prognostic biomarker for LGG.