Back to the drawing board:Overview of the next generation of combination therapy for inflammatory bowel disease

Inflammatory bowel disease(IBD)is entering a potentially new era of combined therapeutics.Triantafillidis et al provide an insightful review of the current state of combination therapy,with a focus on the use of a combined biologic and immunomodulator,as well as emerging data on the future potential of dual-biologic therapy(DBT).While current evidence for DBT is limited,encouraging safety profiles and ongoing trials suggest a brighter future for this approach.The importance of controlled trials should be stressed in establishing new treatment paradigms.Ongoing prospective randomized trials of DBT and perhaps future combinations of biologics and small molecule therapies will hopefully guide the next generation of IBD care.

Prognostic characterization of copper death-related immune checkpoint genes and analysis of immunologic and pharmacologic therapy in bladder cancer

Objective:Copper death-induced tumor cell death and immune checkpoint blockade therapy are highly selective.Combining their advantages and understanding their characteristics in bladder cancer is very important for the development of new targeted therapy.The identification of bladder cancer by screening the characteristic genes of copper death-related immune checkpoints provide a theoretical basis for the selection of adjuvant treatment options and the application of new targets.Methods:The expression samples of normal bladder tissue and bladder cancer were obtained from TCGA and GEO databases,and 13 cop-per death genes and 79 immune checkpoint genes were extracted from previous studies.The mRNA expression of prognostic genes was verified by qPCR.The copper death-related immune checkpoint genes were screened by correlation analysis to construct a prognostic model,and the differences in the efficacy of immunotherapy and chemotherapy between the high-risk group and the low-risk group were evaluated.Results:A prognostic model consisting of BTNL9,CD160,TNFRSF14 and TNFRSF18 was constructed.Its reliable predictive ability was proved in both databases,and qPCR showed that the expression levels of the four genes were significantly different between the normal group and the cancer cell group.The effect of immunotherapy in the lowrisk group was better than that in the high-risk group.Patients in the high-risk group had better chemotherapy efficacy.Conclusion:The copper death-related immune checkpoint gene model can accurately predict the prognosis of patients.Drug and immune analysis provide a basis for clinical treatment,and the discovery of potential targets provides a new solution for clinical decision-making.

A review of the literature on the use of CRISPR/Cas9 gene therapy to treat hepatocellular carcinoma

Noncoding RNAs instruct the Cas9 nuclease to site speifillyl cleave DNA in the CRISPR/Cas9 system.Despite the high incidence of hepatocellular carcinoma(HCC),the patient's outcome is poor.As a result of the emergence of therapeutic resistance in HCC patients,dlinicians have faced difficulties in treating such tumor.In addition,CRISPR/Cas9 screens were used to identify genes that improve the dlinical response of HCC patients.It is the objective of this article to summarize the current understanding of the use of the CRISPR/Cas9 system for the treatment of cancer,with a particular emphasis on HCC as part of the current state of knowledge.Thus,in order to locate recent developments in oncology research,we examined both the Scopus database and the PubMed database.The ability to selectively interfere with gene expression in combinatorial CRISPR/Cas9 screening can lead to the discovery of new effective HCC treatment regimens by combining clinically approved drugs.Drug resistance can be overcome with the help of the CRISPR/Cas9 system.HCC signature genes and resistance to treatment have been uncovered by genome-scale CRISPR activation screening although this method is not without limitations.It has been extensively examined whether CRISPR can be used as a tool for disease research and gene therapy.CRISPR and its applications to tumor research,particularly in HCC,are examined in this study through a review of the literature.

The concept of gene therapy for glaucoma:the dream that has not come true yet

Gene therapies,despite of being a relatively new therapeutic approach,have a potential to become an important alternative to current treatment strategies in glaucoma.Since glaucoma is not considered a single gene disease,the identified goals of gene therapy would be rather to provide neuroprotection of retinal ganglion cells,especially,in intraocular-pressure-independent manner.The most commonly reported type of vector for gene delivery in glaucoma studies is adeno-associated virus serotype 2 that has a high tro pism to retinal ganglion cells,res ulting in long-term expression and low immunogenic profile.The gene thera py studies recruit inducible and genetic animal models of optic neuropathy,like DBA/2J mice model of high-tension glaucoma and the optic nerve crush-model.Reported gene therapy-based neuroprotection of retinal ganglion cells is targeting specific genes translating to growth factors(i.e.,brain derived neurotrophic factor,and its receptor TrkB),regulation of apoptosis and neurodegeneration(i.e.,Bcl-xl,Xiap,FAS system,nicotinamide mononucleotide adenylyl transferase 2,Digit3 and Sarm1),immunomodulation(i.e.,Crry,C3 complement),modulation of neuroinflammation(i.e.,e rythropoietin),reduction of excitotoxicity(i.e.,Com KIlα)and transcription regulation(i.e.,Max,Nrf2).On the other hand,some of gene therapy studies focus on lowering intra ocular pressure,by impacting genes involved in both,decreasing aqueous humor production(i.e.,aquaporin 1),and increasing outflow facility(i.e.,COX2,prostaglandin F2a receptor,RhoA/RhoA kinase signaling pathway,MMP1,Myocilin).The goal of this review is to summarize the current stateof-art and the direction of development of gene therapy strategies for glaucomatous neuropathy.

Facing ethical concerns in the age of precise gene therapy:Outlook on inherited arrhythmias

This editorial,comments on the article by Spartalis et al published in the recent issue of the World Journal of Cardiology.We here provide an outlook on potential ethical concerns related to the future application of gene therapy in the field of inherited arrhythmias.As monogenic diseases with no or few therapeutic options available through standard care,inherited arrhythmias are ideal candidates to gene therapy in their treatment.Patients with inherited arrhythmias typically have a poor quality of life,especially young people engaged in agonistic sports.While genome editing for treatment of inherited arrhythmias still has theoretical application,advances in CRISPR/Cas9 technology now allows the generation of knock-in animal models of the disease.However,clinical translation is somehow expected soon and this make consistent discussing about ethical concerns related to gene editing in inherited arrhythmias.Genomic off-target activity is a known technical issue,but its relationship with ethnical and individual genetical diversity raises concerns about an equitable accessibility.Meanwhile,the costeffectiveness may further limit an equal distribution of gene therapies.The economic burden of gene therapies on healthcare systems is is increasingly recognized as a pressing concern.A growing body of studies are reporting uncertainty in payback periods with intuitive short-term effects for insurance-based healthcare systems,but potential concerns for universal healthcare systems in the long term as well.Altogether,those aspects strongly indicate a need of regulatory entities to manage those issues.

Using multi-omics analysis to explore diagnostic tool and optimize drug therapy selection for patients with glioma based on cross-talk gene signature

Background:The heterogeneity of prognosis and treatment benefits among patients with gliomas is due to tumor microenvironment characteristics.However,biomarkers that reflect microenvironmental characteristics and predict the prognosis of gliomas are limited.Therefore,we aimed to develop a model that can effectively predict prognosis,differentiate microenvironment signatures,and optimize drug selection for patients with glioma.Materials and Methods:The CIBERSORT algorithm,bulk sequencing analysis,and single-cell RNA(scRNA)analysis were employed to identify significant cross-talk genes between M2 macrophages and cancer cells in glioma tissues.A predictive model was constructed based on cross-talk gene expression,and its effect on prognosis,recurrence prediction,and microenvironment characteristics was validated in multiple cohorts.The effect of the predictive model on drug selection was evaluated using the OncoPredict algorithm and relevant cellular biology experiments.Results:A high abundance of M2 macrophages in glioma tissues indicates poor prognosis,and cross-talk between macrophages and cancer cells plays a crucial role in shaping the tumor microenvironment.Eight genes involved in the cross-talk between macrophages and cancer cells were identified.Among them,periostin(POSTN),chitinase 3 like 1(CHI3L1),serum amyloid A1(SAA1),and matrix metallopeptidase 9(MMP9)were selected to construct a predictive model.The developed model demonstrated significant efficacy in distinguishing patient prognosis,recurrent cases,and characteristics of high inflammation,hypoxia,and immunosuppression.Furthermore,this model can serve as a valuable tool for guiding the use of trametinib.Conclusions:In summary,this study provides a comprehensive understanding of the interplay between M2 macrophages and cancer cells in glioma;utilizes a cross-talk gene signature to develop a predictive model that can predict the differentiation of patient prognosis,recurrence instances,and microenvironment characteristics;and aids in optimizing the application of trametinib in glioma patients.

Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancer via cell-cell communication

BACKGROUND Liver cancer is one of the deadliest malignant tumors worldwide.Immunotherapy has provided hope to patients with advanced liver cancer,but only a small fraction of patients benefit from this treatment due to individual differences.Identifying immune-related gene signatures in liver cancer patients not only aids physicians in cancer diagnosis but also offers personalized treatment strategies,thereby improving patient survival rates.Although several methods have been developed to predict the prognosis and immunotherapeutic efficacy in patients with liver cancer,the impact of cell-cell interactions in the tumor microenvir-onment has not been adequately considered.AIM To identify immune-related gene signals for predicting liver cancer prognosis and immunotherapy efficacy.METHODS Cell grouping and cell-cell communication analysis were performed on single-cell RNA-sequencing data to identify highly active cell groups in immune-related pathways.Highly active immune cells were identified by intersecting the highly active cell groups with B cells and T cells.The significantly differentially expressed genes between highly active immune cells and other cells were subsequently selected as features,and a least absolute shrinkage and selection operator(LASSO)regression model was constructed to screen for diagnostic-related features.Fourteen genes that were selected more than 5 times in 10 LASSO regression experiments were included in a multivariable Cox regression model.Finally,3 genes(stathmin 1,cofilin 1,and C-C chemokine ligand 5)significantly associated with survival were identified and used to construct an immune-related gene signature.RESULTS The immune-related gene signature composed of stathmin 1,cofilin 1,and C-C chemokine ligand 5 was identified through cell-cell communication.The effectiveness of the identified gene signature was validated based on experi-mental results of predictive immunotherapy response,tumor mutation burden analysis,immune cell infiltration analysis,survival analysis,and expression analysis.CONCLUSION The findings suggest that the identified gene signature may contribute to a deeper understanding of the activity patterns of immune cells in the liver tumor microenvironment,providing insights for personalized treatment strategies.

Identification of genes associated with gall bladder cell carcinogenesis:Implications in targeted therapy of gall bladder cancer

Gall bladder cancer(GBC)is becoming a very devastating form of hepatobiliary cancer in India.Every year new cases of GBC are quite high in India.Despite recent advanced multimodality treatment options,the survival of GBC patients is very low.If the disease is diagnosed at the advanced stage(with local nodal metastasis or distant metastasis)or surgical resection is inoperable,the prognosis of those patients is very poor.So,perspectives of targeted therapy are being taken.Targeted therapy includes hormone therapy,proteasome inhibitors,signal transduction and apoptosis inhibitors,angiogenesis inhibitors,and immunotherapeutic agents.One such signal transduction inhibitor is the specific short interfering RNA(siRNA)or short hairpin RNA(shRNA).For developing siRNAmediated therapy shRNA,although several preclinical studies to evaluate the efficacy of these key molecules have been performed using gall bladder cells,many more clinical trials are required.To date,many such genes have been identified.This review will discuss the recently identified genes associated with GBC and those that have implications in its treatment by siRNA or shRNA.

AGTR1 A1166C gene polymorphism is associated with the effectiveness of valsartan monotherapy in Chinese patients with essential hypertension:A retrospective analysis

Objective:To investigate whether angiotensinⅡtype 1 receptor(AGTR1 A1166C)gene polymorphism was associated with the effectiveness of valsartan monotherapy in Chinese patients with essential hypertension.Methods:This retrospective analysis included 198 patients(≥18 years of age)who received valsartan monotherapy(80 mg/day)for newly developed essential hypertension at the authors’center between January 1,2020 and December 31,2023.Genotyping for AGTR1 A1166C gene polymorphism was done by polymerase chain reaction(PCR)-melting curve analysis of genomic DNA from peripheral blood samples.A dominant genetic model for AGTR1 A1166C(AA genotype versus AC+CC genotype)was used.Multivariate regression analysis of baseline variables and AGTR1 polymorphism was conducted to identify predictors of target blood pressure attainment(<140/90 mmHg)at the 4-week follow-up.Results:The median age of the 198 patients was(53.7±13.5)years,and 58%were men.Genotyping assays showed that 164 patients had the AA genotype,and 34 patients were of the AC/CC genotype,including 30 with the AC genotype and 4 with the CC genotype.Allele distribution was consistent with Hardy Weinberg equilibrium.109 Patients(55.1%)attained the blood pressure target.Multivariate analysis showed that smoking(versus no smoking,HR 0.314,95%CI 0.159-0.619,P=0.001)and AGTR1 A1166C AA genotype(versus AC/CC,HR 2.927,95%CI 1.296-6.611,P=0.023)were significant and independent predictors of target attainment.25 Patients(73.5%)with AGTR1 A1166C AC/CC genotype attained the target versus 51.2%(51/164)of patients with AGTR1 A1166C AA genotype(P=0.017).Patients with AGTR1 A1166C AC/CC genotype had a significantly greater reduction in systolic blood pressure[(33.1±10.8)mmHg versus(29.2±11.7)mmHg in AA carriers;(P=0.029)].Conclusions:Hypertensive patients carrying one or two C alleles of the AGTR1 A1166C gene were more responsive to valsartan treatment.

Presymptomatic Diagnosis and Gene Therapy for Alzheimer’s Disease: Genomic, Therapeutic, and Ethical Aspects—A Systematic Review

Over the past three decades, genomic and epigenetic sciences have identified more than 70 genes involved in the molecular pathophysiology of Alzheimer’s disease (AD). DNA methylation, abnormal histone and chromatin regulation and the action of various miRNAs induce AD. The identification of mutated genes has paved the way for the development of diagnostic kits and the initiation of gene therapy trials. However, despite major advances in neuroscience research, there is yet no suitable treatment for AD. Therefore, the early diagnosis of this neurodegenerative disease raises several ethical questions, including the balance between the principle of non-maleficence and the principle of beneficence. The aims of this research were to present the genomic and ethical aspects of AD, and to highlight the ethical principles involved in its presymptomatic diagnosis and therapy. A systematic review of the literature in PubMed, Google Scholar and Science Direct was carried out to outline the genomic aspects and ethical principles relating not only to the presymptomatic diagnosis of AD, but also to its gene therapy. A total of 16 publications were selected. AD is a multifactorial disease that can be genetically classified into Sporadic Alzheimer’s Disease and Familial Alzheimer’s Disease based on family history. Gene therapy targeting specific disease-causing genes is a promising therapeutic strategy. Advancements in artificial intelligence applications may enable the prediction of AD onset several years in advance. While early diagnosis of AD may empower patients with full decision competence for early decision-making, it also carries implications for the patient’s family members, who are at risk of developing the disease, potentially becoming a source of confusion or anxiety. AD has a significant impact on the life of individuals at risk and their families. Given the absence of disease modifying therapy, genetic screening and early diagnosis for this condition raise ethical issues that must be carefully considered in the context of fundamental bioethical principles, including autonomy, beneficence, non-maleficence, and justice.

Nanotechnology-based gene therapy as a credible tool in the treatment of Alzheimer’s disease

Toxic aggregated amyloid-βaccumulation is a key pathogenic event in Alzheimer’s disease.Treatment approaches have focused on the suppression,deferral,or dispersion of amyloid-βfibers and plaques.Gene therapy has evolved as a potential therapeutic option for treating Alzheimer’s disease,owing to its rapid advancement over the recent decade.Small interfering ribonucleic acid has recently garnered considerable attention in gene therapy owing to its ability to down-regulate genes with high sequence specificity and an almost limitless number of therapeutic targets,including those that were once considered undruggable.However,lackluster cellular uptake and the destabilization of small interfering ribonucleic acid in its biological environment restrict its therapeutic application,necessitating the development of a vector that can safeguard the genetic material from early destruction within the bloodstream while effectively delivering therapeutic genes across the bloodbrain barrier.Nanotechnology has emerged as a possible solution,and several delivery systems utilizing nanoparticles have been shown to bypass key challenges regarding small interfering ribonucleic acid delivery.By reducing the enzymatic breakdown of genetic components,nanomaterials as gene carriers have considerably enhanced the efficiency of gene therapy.Liposomes,polymeric nanoparticles,magnetic nanoparticles,dendrimers,and micelles are examples of nanocarriers that have been designed,and each has its own set of features.Furthermore,recent advances in the specific delivery of neurotrophic compounds via gene therapy have provided promising results in relation to augmenting cognitive abilities.In this paper,we highlight the use of different nanocarriers in targeted gene delivery and small interfering ribonucleic acid-mediated gene silencing as a potential platform for treating Alzheimer’s disease.

Stimuli-Responsive Gene Delivery Nanocarriers for Cancer Therapy

Gene therapy provides a promising approach in treating cancers with high efficacy and selectivity and few adverse effects.Currently,the development of functional vectors with safety and effectiveness is the intense focus for improving the delivery of nucleic acid drugs for gene therapy.For this purpose,stimuli-responsive nanocarriers displayed strong potential in improving the overall efficiencies of gene therapy and reducing adverse effects via effective protection,prolonged blood circulation,specific tumor accumulation,and controlled release profile of nucleic acid drugs.Besides,synergistic therapy could be achieved when combined with other therapeutic regimens.This review summarizes recent advances in various stimuliresponsive nanocarriers for gene delivery.Particularly,the nanocarriers responding to endogenous stimuli including pH,reactive oxygen species,glutathione,and enzyme,etc.,and exogenous stimuli including light,thermo,ultrasound,magnetic field,etc.,are introduced.Finally,the future challenges and prospects of stimuli-responsive gene delivery nanocarriers toward potential clinical translation are well discussed.The major objective of this review is to present the biomedical potential of stimuli-responsive gene delivery nanocarriers for cancer therapy and provide guidance for developing novel nanoplatforms that are clinically applicable.

CMT1A current gene therapy approaches and promising biomarkers

Charcot-Marie-Tooth neuropathies(CMT)constitute a group of common but highly heterogeneous,non-syndromic genetic disorders affecting predominantly the peripheral nervous system.CMT type 1A(CMT1A)is the most frequent type and accounts for almost~50%of all diagnosed CMT cases.CMT1A results from the duplication of the peripheral myelin protein 22(PMP22)gene.Overexpression of PMP22 protein overloads the protein folding apparatus in Schwann cells and activates the unfolded protein response.This leads to Schwann cell apoptosis,dys-and de-myelination and secondary axonal degeneration,ultimately causing neurological disabilities.During the last decades,several different gene therapies have been developed to treat CMT1A.Almost all of them remain at the pre-clinical stage using CMT1A animal models overexpressing PMP22.The therapeutic goal is to achieve gene silencing,directly or indirectly,thereby reversing the CMT1A genetic mechanism allowing the recovery of myelination and prevention of axonal loss.As promising treatments are rapidly emerging,treatment-responsive and clinically relevant biomarkers are becoming necessary.These biomarkers and sensitive clinical evaluation tools will facilitate the design and successful completion of future clinical trials for CMT1A.

Brain and spinal cord trauma:what we know about the therapeutic potential of insulin growth factor 1 gene therapy

Although little attention has been paid to cognitive and emotional dysfunctions observed in patients after spinal co rd injury,several reports have described impairments in cognitive abilities.Our group also has contributed significantly to the study of cognitive impairments in a rat model of spinal co rd injury.These findings are very significant because they demonstrate that cognitive and mood deficits are not induced by lifestyle changes,drugs of abuse,and combined medication.They are related to changes in brain structures involved in cognition and emotion,such as the hippocampus.Chronic spinal cord injury decreases neurogenesis,enhances glial reactivity leading to hippocampal neuroinflammation,and trigge rs cognitive deficits.These brain distal abnormalities are recently called te rtiary damage.Given that there is no treatment for Tertiary Damage,insulin growth factor 1 gene therapy emerges as a good candidate.Insulin growth factor 1 gene thera py recove rs neurogenesis and induces the polarization from pro-inflammato ry towards anti-inflammatory microglial phenotypes,which represents a potential strategy to treat the neuroinflammation that supports te rtiary damage.Insulin growth factor 1 gene therapy can be extended to other central nervous system pathologies such as traumatic brain injury where the neuroinflammatory component is crucial.Insulin growth factor 1 gene therapy could emerge as a new therapeutic strategy for treating traumatic brain injury and spinal cord injury.

Ionizable drug delivery systems for efficient and selective gene therapy

Gene therapy has shown great potential to treat various diseases by repairing the abnormal gene function.However,a great challenge in bringing the nucleic acid formulations to the market is the safe and effective delivery to the specific tissues and cells.To be excited,the development of ionizable drug delivery systems(IDDSs)has promoted a great breakthrough as evidenced by the approval of the BNT162b2 vaccine for prevention of coronavirus disease 2019(COVID-19)in 2021.Compared with conventional cationic gene vectors,IDDSs can decrease the toxicity of carriers to cell membranes,and increase cellular uptake and endosomal escape of nucleic acids by their unique pH-responsive structures.Despite the progress,there remain necessary requirements for designing more efficient IDDSs for precise gene therapy.Herein,we systematically classify the IDDSs and summarize the characteristics and advantages of IDDSs in order to explore the underlying design mechanisms.The delivery mechanisms and therapeutic applications of IDDSs are comprehensively reviewed for the delivery of plasmid DNA(pDNA)and four kinds of RNA.In particular,organ selecting considerations and high-throughput screening are highlighted to explore efficiently multifunctional ionizable nanomaterials with superior gene delivery capacity.We anticipate providing references for researchers to rationally design more efficient and accurate targeted gene delivery systems in the future,and indicate ideas for developing next generation gene vectors.

Revolutionizing gastric cancer treatment:The potential of immunotherapy

Gastric cancer,a prevalent malignancy worldwide,ranks sixth in terms of frequency and third in fatality,causing over a million new cases and 769000 annual deaths.Predominant in Eastern Europe and Eastern Asia,risk factors include family medical history,dietary habits,tobacco use,Helicobacter pylori,and Epstein-Barr virus infections.Unfortunately,gastric cancer is often diagnosed at an advanced stage,leading to a grim prognosis,with a 5-year overall survival rate below 5%.Surgical intervention,particularly with D2 Lymphadenectomy,is the mainstay for early-stage cases but offers limited success.For advanced cases,the National Comprehensive Cancer Network recommends chemotherapy,radiation,and targeted therapy.Emerging immunotherapy presents promise,especially for unresectable or metastatic cases,with strategies like immune checkpoint inhibitors,tumor vaccines,adoptive immunotherapy,and nonspecific immunomodulators.In this Editorial,with regards to the article“Advances and key focus areas in gastric cancer immunotherapy:A comprehensive scientometric and clinical trial review”,we address the advances in the field of immunotherapy in gastric cancer and its future prospects.

Bioorthogonal Engineered Virus‑Like Nanoparticles for Efficient Gene Therapy

Gene therapy offers potentially transformative strategies for major human diseases.However,one of the key challenges in gene therapy is developing an effective strategy that could deliver genes into the specific tissue.Here,we report a novel virus-like nanoparticle,the bioorthgonal engineered viruslike recombinant biosome(reBiosome),for efficient gene therapies of cancer and inflammatory diseases.The mutant virus-like biosome(mBiosome)is first prepared by site-specific codon mutation for displaying 4-azido-L-phenylalanine on vesicular stomatitis virus glycoprotein of eBiosome at a rational site,and the reBiosome is then prepared by clicking weak acid-responsive hydrophilic polymer onto the mBiosome via bioorthogonal chemistry.The results show that the reBiosome exhibits reduced virus-like immunogenicity,prolonged blood circulation time and enhanced gene delivery efficiency to weakly acidic foci(like tumor and arthritic tissue).Furthermore,reBiosome demonstrates robust therapeutic efficacy in breast cancer and arthritis by delivering gene editing and silencing systems,respectively.In conclusion,this study develops a universal,safe and efficient platform for gene therapies for cancer and inflammatory diseases.

Construction of Multi-Specific Antibody by Genetic Engineering and Its Progress in Tumor Therapy

Targeted treatment of cancer with monoclonal antibodies increases the benefit for patients. In order to improve the anti-tumor activity of monoclonal antibodies, multi-specific antibodies have entered the research field. The emergence of various techniques to produce multi-specific recombinant antibody molecules has led to the selection of target combinations in various forms. To date, only a few multi-specific constructs have entered phase III clinical trials, in contrast to classical monoclonal antibodies. Some of the format options are outlined from a technical point of view. We focus on the achievements and prospects of the underlying technologies for generating biand multispecific antibodies.

Stomach perforation-induced general occlusion/occlusion-like syndrome and stable gastric pentadecapeptide BPC 157 therapy effect

BACKGROUND Using rat stomach perforation as a prototypic direct lesion applied in cytoprotection research,we focused on the first demonstration of the severe occlusion/occlusion-like syndrome induced by stomach perforation.The revealed stomachinduced occlusion/occlusion-like syndrome corresponds to the previously described occlusion/occlusion-like syndromes in rats suffering multicausal pathology and shared severe vascular and multiorgan failure.This general point was particularly reviewed.As in all the described occlusion/occlusion-like syndromes with permanent occlusion of major vessels,peripheral and central,and other similar noxious procedures that severely affect endothelium function,the stable gastric pentadecapeptide BPC 157 was resolving therapy.AIM To reveal the stomach perforation-induced general occlusion/occlusion-like syndrome and BPC 157 therapy effect.METHODS The procedure included deeply anesthetized rats,complete calvariectomy,laparotomy at 15 min thereafter,and stomach perforation to rapidly induce vascular and multiorgan failure occlusion/occlusion-like syndrome.At 5 min post-perforation time,rats received therapy[BPC 157(10μg or 10 ng/kg)or saline(5 mL/kg,1 mL/rat)(controls)]into the perforated defect in the stomach).Sacrifice was at 15 min or 60 min post-perforation time.Assessment(gross and microscopy;volume)included:Brain swelling,peripheral vessels(azygos vein,superior mesenteric vein,portal vein,inferior caval vein)and heart,other organs lesions(i.e.,stomach,defect closing or widening);superior sagittal sinus,and peripherally the portal vein,inferior caval vein,and abdominal aorta blood pressures and clots;electrocardiograms;and bleeding time from the perforation(s).RESULTS BPC 157 beneficial effects accord with those noted before in the healing of the perforated defect(raised vessel presentation;less bleeding,defect contraction)and occlusion/occlusion-like syndromes counteraction.BPC 157 therapy(into the perforated defect),induced immediate shrinking and contraction of the whole stomach(unlike considerable enlargement by saline application).Accordingly,BPC 157 therapy induced direct blood delivery via the azygos vein,and attenuated/eliminated the intracranial(superior sagittal sinus),portal and caval hypertension,and aortal hypotension.Thrombosis,peripherally(inferior caval vein,portal vein,abdominal aorta)and centrally(superior sagittal sinus)BPC 157 therapy markedly reduced/annihilated.Severe lesions in the brain(swelling,hemorrhage),heart(congestion and arrhythmias),lung(hemorrhage and congestion),and marked congestion in the liver,kidney,and gastrointestinal tract were markedly reduced.CONCLUSION We revealed stomach perforation as a severe occlusion/occlusion-like syndrome,peripherally and centrally,and rapid counteraction by BPC 157 therapy.Thereby,further BPC 157 therapy may be warranted.

Integrated analysis of gene expression profiles reveals prognostic biomarkers for immunotherapy in cancer

Tumor immunotherapy has emerged as a promising method in cancer treatment,but patient responses vary,necessitating personalized strategies and prognostic biomarkers.This study aimed to identify prognostic factors and construct a predictive model for patient survival outcomes and immunotherapy response.We curated six immunotherapy datasets representing diverse cancer types and treatment regimens.After data preprocessing,patients were stratified based on immunotherapy response.Differential gene expression analysis identified 22 genes consistently dysregulated across multiple datasets.Functional analysis provided critical insights,highlighting the enrichment of these dysregulated genes in immune response pathways and tumor microenvironment-related processes.To create a robust prognostic model,we meticulously employed a multistep approach.Initially,the identified 22 genes underwent rigorous univariate Cox regression analysis to evaluate their individual associations with patient survival outcomes.Genes showing statistical significance(p-values<0.05)at this stage advanced to the subsequent multivariate Cox regression analysis,which aimed to address potential confounding factors and collinearity among genes.From this analysis,we ultimately identified four key genes—ST6GALNAC2,SNORA65,MFAP2,and CDKN2B—that were significantly associated with patient survival outcomes.Incorporating these four key genes along with their corresponding coefficients,we constructed a predictive model.This model’s efficacy was validated through extensive Cox regression analyses,demonstrating its robustness in predicting patient survival outcomes.Furthermore,our model exhibited promising predictive capability for immunotherapy response,providing a potential tool for anticipating treatment efficacy.These findings provide insights into immunotherapy response mechanisms and suggest potential prognostic biomarkers for personalized treatment.Our study contributes to advancing cancer immunotherapy and personalized medicine.