Ubiquitin-specific protease 1 facilitates tumor immune escape from natural killer cells and predicts the prognosis in small cell lung cancer

Objective:Small cell lung cancer(SCLC)is commonly recognized as the most fatal lung cancer type.Despite substantial advances in immune checkpoint blockade therapies for treating solid cancers,their benefits are limited to a minority of patients with SCLC.In the present study,novel indicators for predicting the outcomes and molecular targets for SCLC treatment were elucidated.Methods:We conducted bioinformatics analysis to identify the key genes associated with tumor-infiltrating lymphocytes in SCLC.The functional role of the key gene identified in SCLC was determined both in vitro and in vivo.Results:A significant correlation was observed between patient survival and CD56dim natural killer(NK)cell proportion.Furthermore,we noted that the hub gene ubiquitin-specific protease 1(USP1)is closely correlated with both CD56dim NK cells and overall survival in SCLC.Bioinformatics analysis revealed that USP1 is upregulated in SCLC.In addition,gene set enrichment analysis revealed that USP1 overexpression hinders NK cell-mediated immune responses.By co-cultivating NK-92 cells with SCLC cells,we demonstrated that NK cell cytotoxicity against SCLC could be improved either via USP1 knock-down or pharmacological inhibition.Furthermore,using a nude-mice xenograft tumor model,we noted that USP1 inhibition effectively suppressed tumor proliferation and increased the expression of NK cell-associated markers.Conclusions:Our study findings highlight the importance of NK cells in regulating SCLC.USP1 overexpression can inhibit NK cell-mediated immunity;therefore,USP1 may serve not only as a prognostic biomarker but also as a potential molecular target of SCLC therapy.

Genetic signatures of ERCC1 and ERCC2 expression,along with SNPs variants,unveil favorable prognosis in SCLC patients undergoing platinum-based chemotherapy

Background:Platinum chemotherapy(CT)remains the backbone of systemic therapy for patients with smallcell lung cancer(SCLC).The nucleotide excision repair(NER)pathway plays a central role in the repair of the DNA damage exerted by platinum agents.Alteration in this repair mechanism may affect patients’survival.Materials and Methods:We conducted a retrospective analysis of data from 38 patients with extensive disease(ED)-SCLC who underwent platinum-CT at the Clinical Oncology Unit,Careggi University Hospital,Florence(Italy),from 2015 to 2020.mRNA expression analysis and single nucleotide polymorphism(SNP)characterization of three NER pathway genes—namely ERCC1,ERCC2,and ERCC5—were performed on patient tumor samples.Results:Overall,elevated expression of ERCC genes was observed in SCLC patients compared to healthy controls.Patients with low ERCC1 and ERCC5 expression levels exhibited a better median progression-free survival(mPFS=7.1 vs.4.9 months,p=0.39 for ERCC1 and mPFS=6.9 vs.4.8 months,p=0.093 for ERCC5)and overall survival(mOS=8.7 vs.6.0 months,p=0.4 for ERCC1 and mOS=7.2 vs.6.2 months,p=0.13 for ERCC5).Genotyping analysis of five SNPs of ERCC genes showed a longer survival in patients harboring the wild-type genotype or the heterozygous variant of the ERCC1 rs11615 SNP(p=0.24 for PFS and p=0.14 for OS)and of the rs13181 and rs1799793 ERCC2 SNPs(p=0.43 and p=0.26 for PFS and p=0.21 and p=0.16 for OS,respectively)compared to patients with homozygous mutant genotypes.Conclusions:The comprehensive analysis of ERCC gene expression and SNP variants appears to identify patients who derive greater survival benefits from platinum-CT.

Engineered Cancer Nanovaccines:A New Frontier in Cancer Therapy

Vaccinations are essential for preventing and treating disease,especially cancer nanovaccines,which have gained considerable interest recently for their strong anti-tumor immune capabilities.Vaccines can prompt the immune system to generate antibodies and activate various immune cells,leading to a response against tumor tissues and reducing the negative effects and recurrence risks of traditional chemotherapy and surgery.To enhance the flexibility and targeting of vaccines,nanovaccines utilize nanotechnology to encapsulate or carry antigens at the nanoscale level,enabling more controlled and precise drug delivery to enhance immune responses.Cancer nanovaccines function by encapsulating tumor-specific antigens or tumor-associated antigens within nanomaterials.The small size of these nanomaterials allows for precise targeting of T cells,dendritic cells,or cancer cells,thereby eliciting a more potent anti-tumor response.In this paper,we focus on the classification of carriers for cancer nanovaccines,the roles of different target cells,and clinically tested cancer nanovaccines,discussing strategies for effectively inducing cytotoxic T lymphocytes responses and optimizing antigen presentation,while also looking ahead to the translational challenges of moving from animal experiments to clinical trials.

Comprehensive molecular characterization to predict immunotherapy response in advanced biliary tract cancer:a phase II trial of pembrolizumab

Background:Immune checkpoint inhibitors(ICIs)are effective in a subset of patients with metastatic solid tumors.However,the patients who would benefit most from ICIs in biliary tract cancer(BTC)are still controversial.Materials and methods:We molecularly characterized tissues and blood from 32 patients with metastatic BTC treated with the ICI pembrolizumab as second-line therapy.Results:All patients had microsatellite stable(MSS)type tumors.Three of the 32 patients achieved partial response(PR),with an objective response rate(ORR)of 9.4%(95%confidence interval[CI],2.0–25.2)and nine showed stable disease(SD),exhibiting a disease control rate(DCR)of 37.5%(95%CI,21.1–56.3).For the 31 patients who had access to PD-1 ligand 1(PD-L1)combined positive score(CPS)testing(cut-off value≥1%),the ORR was not different between those who had PD-L1-positive(PD-L1+;1/11,9.1%)and PDL1-(2/20,10.0%)tumors(p=1.000).The tumor mutational burden(TMB)of PD-L1+BTC was comparable to that of PD-L1-BTC(p=0.630).TMB and any exonic somatic mutations were also not predictive of pembrolizumab response.Molecular analysis of blood and tumor samples demonstrated a relatively high natural killer(NK)cell proportion in the peripheral blood before pembrolizumab treatment in patients who achieved tumor response.Moreover,the tumors of these patients presented high enrichment scores for NK cells,antitumor cytokines,and Th1 signatures,and a low enrichment score for cancer-associated fibroblasts.Conclusions:This study shows the molecular characteristics associated with the efficacy of pembrolizumab in BTC of the MSS type.

Potential of non-Western medicines in chemoradiotherapy for cervical cancer

This editorial explores the potential integration of non-Western medicine into radiotherapy for cervical cancer.While radiotherapy remains a radical treatment for cervical cancer,its associated toxicity and decline in quality of life can significantly impact patients’lives.Currently,most treatments are supportive,with no specific treatment options available in Western medicine.Non-Western medicine,often less toxic and easier to administer,has shown promising results when used alongside radiotherapy for cervical cancer.Despite these potential benefits,challenges such as limited evidence and restricted application areas persist.While non-Western medicines may offer potential improvements in chemoradiotherapy outcomes for cervical cancer,further research is necessary to substantiate these benefits.

Poorly controlled type II diabetes mellitus significantly enhances postoperative chemoresistance in patients with stage III colon cancer

BACKGROUND Type II diabetes mellitus(T2DM)has been associated with increased risk of colon cancer(CC)and worse prognosis in patients with metastases.The effects of T2DM on postoperative chemoresistance rate(CRR)and long-term disease-free survival(DFS)and overall survival(OS)in patients with stage III CC who receive curative resection remain controversial.AIM To investigate whether T2DM or glycemic control is associated with worse postoperative survival outcomes in stage III CC.METHODS This retrospective cohort study included 278 patients aged 40-75 years who underwent surgery for stage III CC from 2018 to 2021.Based on preoperative T2DM history,the patients were categorized into non-DM(n=160)and DM groups(n=118).The latter was further divided into well-controlled(n=73)and poorly controlled(n=45)groups depending on the status of glycemic control.DFS,OS,and CRR were compared between the groups and Cox regression analysis was used to identify risk factors.RESULTS Patients in the DM and non-DM groups demonstrated similar DFS,OS,and CRR(DFS:72.03%vs 78.75%,P=0.178;OS:81.36%vs 83.12%,P=0.638;CRR:14.41%vs 7.5%,P=0.063).Poorly controlled DM was associated with a significantly worse prognosis and higher CRR than well-controlled DM(DFS:62.22%vs 78.07%,P=0.021;OS:71.11%vs 87.67%,P=0.011;CRR:24.40%vs 8.22%,P=0.015).High preoperative fasting plasma glucose[DFS:Hazard ratio(HR)=2.684,P<0.001;OS:HR=2.105,P=0.019;CRR:HR=2.214,P=0.005]and glycosylated hemoglobin levels(DFS:HR=2.344,P=0.006;OS:HR=2.119,P=0.021;CRR:HR=2.449,P=0.009)indicated significantly poor prognosis and high CRR,while T2DM history did not(DFS:HR=1.178,P=0.327;OS:HR=0.933,P=0.739;CRR:HR=0.997,P=0.581).CONCLUSION Increased preoperative fasting plasma glucose and glycosylated hemoglobin levels,but not T2DM history,were identified as risk factors associated with poor postoperative outcomes and high CRR in patients with stage III CC.

Unlocking the future:Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

BACKGROUND Mitochondrial genes are involved in tumor metabolism in ovarian cancer(OC)and affect immune cell infiltration and treatment responses.AIM To predict prognosis and immunotherapy response in patients diagnosed with OC using mitochondrial genes and neural networks.METHODS Prognosis,immunotherapy efficacy,and next-generation sequencing data of patients with OC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus.Mitochondrial genes were sourced from the MitoCarta3.0 database.The discovery cohort for model construction was created from 70% of the patients,whereas the remaining 30% constituted the validation cohort.Using the expression of mitochondrial genes as the predictor variable and based on neural network algorithm,the overall survival time and immunotherapy efficacy(complete or partial response)of patients were predicted.RESULTS In total,375 patients with OC were included to construct the prognostic model,and 26 patients were included to construct the immune efficacy model.The average area under the receiver operating characteristic curve of the prognostic model was 0.7268[95% confidence interval(CI):0.7258-0.7278]in the discovery cohort and 0.6475(95%CI:0.6466-0.6484)in the validation cohort.The average area under the receiver operating characteristic curve of the immunotherapy efficacy model was 0.9444(95%CI:0.8333-1.0000)in the discovery cohort and 0.9167(95%CI:0.6667-1.0000)in the validation cohort.CONCLUSION The application of mitochondrial genes and neural networks has the potential to predict prognosis and immunotherapy response in patients with OC,providing valuable insights into personalized treatment strategies.

Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis

BACKGROUND The liver,as the main target organ for hematogenous metastasis of colorectal cancer,early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients.Herein,this study aims to investigate the application value of a combined machine learning(ML)based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis(MLM).AIM To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.METHODS We retrospectively analyzed 301 patients with rectal cancer confirmed by surgical pathology at Jingzhou Central Hospital from January 2017 to December 2023.All participants were randomly assigned to the training or validation queue in a 7:3 ratio.We first apply generalized linear regression model(GLRM)and random forest model(RFM)algorithm to construct an MLM prediction model in the training queue,and evaluate the discriminative power of the MLM prediction model using area under curve(AUC)and decision curve analysis(DCA).Then,the robustness and generalizability of the MLM prediction model were evaluated based on the internal validation set between the validation queue groups.RESULTS Among the 301 patients included in the study,16.28%were ultimately diagnosed with MLM through pathological examination.Multivariate analysis showed that carcinoembryonic antigen,and magnetic resonance imaging radiomics were independent predictors of MLM.Then,the GLRM prediction model was developed with a comprehensive nomogram to achieve satisfactory differentiation.The prediction performance of GLRM in the training and validation queue was 0.765[95%confidence interval(CI):0.710-0.820]and 0.767(95%CI:0.712-0.822),respectively.Compared with GLRM,RFM achieved superior performance with AUC of 0.919(95%CI:0.868-0.970)and 0.901(95%CI:0.850-0.952)in the training and validation queue,respectively.The DCA indicated that the predictive ability and net profit of clinical RFM were improved.CONCLUSION By combining multiparameter magnetic resonance imaging with the effectiveness and robustness of ML-based predictive models,the proposed clinical RFM can serve as an insight tool for preoperative assessment of MLM risk stratification and provide important information for individual diagnosis and treatment of rectal cancer patients.

Molecular mechanism of pancreatic ductal adenocarcinoma:The heterogeneity of cancer-associated fibroblasts and key signaling pathways

Pancreatic ductal adenocarcinoma stands out as an exceptionally fatal cancer owing to the complexities associated with its treatment and diagnosis,leading to a notably low five-year survival rate.This study offers a detailed exploration of epidemiological trends in pancreatic cancer and key molecular drivers,such as mutations in CDKN2A,KRAS,SMAD4,and TP53,along with the influence of cancer-associated fibroblasts(CAFs)on disease progression.In particular,we focused on the pivotal roles of signaling pathways such as the transforming growth factor-βand Wnt/β-catenin pathways in the development of pancreatic cancer and investigated their application in emerging therapeutic strategies.This study provides new scientific perspectives on pancreatic cancer treatment,especially in the development of precision medicine and targeted therapeutic strategies,and demonstrates the importance of signaling pathway research in the development of effective therapeutic regimens.Future studies should explore the subtypes of CAFs and their specific roles in the tumor microenvironment to devise more effective therapeutic methods.

Molecular mechanism and research progress of traditional Chinese medicine in the treatment of prostate cancer

Prostate cancer(PCa)is one of the most common malignant tumors in the male genitourinary system,ranking second in incidence worldwide.Traditional Chinese medicine(TCM),as an important component of complementary and alternative medicine,shows unique advantages in cancer treatment.Chinese herbal medicine is usually composed of multiple ingredients and involves multiple signaling pathways,which showed function of inducing apoptosis of cancer cells,arresting the cell cycle,inhibiting invasion and metastasis,reducing drug resistance,and regulating immune function.Physical therapy is also an important treatment of TCM.Currently,Physical therapy such as acupuncture or Tai Chi and Qigong are gaining increased recognition in the management of PCa,particularly in addressing issues like urinary incontinence and bone metastasis-related pain.This article reviews the TCM treatment and therapy of PCa,in order to provide new research avenues and treatment options for the treatment of PCa with TCM and improve the quality of life of patients.

Hsa-miR-214-3p inhibits breast cancer cell growth and improves the tumor immune microenvironment by downregulating B7H3

Background:Immune checkpoint inhibitors play an important role in the treatment of solid tumors,but the currently used immune checkpoint inhibitors targeting programmed cell death-1(PD-1),programmed cell death ligand-1(PD-L1),and cytotoxic T-lymphocyte antigen-4(CTLA-4)show limited clinical efficacy in many breast cancers.B7H3 has been widely reported as an immunosuppressive molecule,but its immunological function in breast cancer patients remains unclear.Methods:We analyzed the expression of B7H3 in breast cancer samples using data from the Cancer Genome Atlas Program(TCGA)and the Gene Expression Omnibus(GEO)databases.MicroRNAs were selected using the TarBase,miRTarBase,and miRBase databases.The regulatory role of the microRNA hsa-miR-214-3p on B7H3 was investigated through dual-luciferase reporter assays,which identified the specific action sites of interaction.The expression levels of B7H3 and hsa-miR-214-3p in human breast cancer tissues and adjacent normal tissues were quantified using Western blotting and quantitative PCR(qPCR).In vitro experiments were performed to observe the effects of modulating the expression of B7H3 or hsa-miR-214-3p on breast cancer cell proliferation and apoptosis.Additionally,the regulatory impact of hsa-miR-214-3p on B7H3 was examined.Enzyme-linked immunosorbent assays(ELISA)and flow cytometry were employed to assess the effects of co-cultured breast cancer cells and normal human peripheral blood mononuclear cells(PBMCs)on immune cells and associated cytokines.Results:In breast cancer tissues,the expression level of B7H3 is inversely correlated with that of hsa-miR-214-3p,as well as with the regulatory effects on breast cancercell behavior.Hsa-miR-214-3p was found to inhibit breast cancer cell growth by downregulating B7H3.Importantly,our research identified,for the first time,two binding sites for hsa-miR-214-3p on the 3’UTR of B7H3,both of which exert similar effects independently.Co-culture experiments revealed that hsamiR-214-3p obstructs the suppressive function of B7H3 on CD8^(+)T cells and natural killer cells.Conclusions:This study confirms the existence of two hsa-miR-214-3p binding sites on the 3’UTR of B7H3,reinforcing the role of hsamiR-214-3p as a regulatory factor for B7H3.In breast cancer,hsa-miR-214-3p reduces tumor cell proliferation and enhances the tumor immune microenvironment by downregulating B7H3.These findings suggest new potential targets for the clinical treatment of breast cancer.

Optimizing care for gastric cancer with overt bleeding:Is systemic therapy a valid option?

Gastric cancer(GC)and gastroesophageal junction cancer(GEJC)represent a significant burden globally,with complications such as overt bleeding(OB)further exacerbating patient outcomes.A recent study by Yao et al evaluated the effectiveness and safety of systematic treatment in GC/GEJC patients presenting with OB.Using propensity score matching,the study balanced the comparison groups to investigate overall survival and treatment-related adverse events.The study's findings emphasize that systematic therapy can be safe and effective and contribute to the ongoing debate about the management of advanced GC/GEJC with OB,highlighting the complexities of treatment decisions in these high-risk patients.

Prognostic impact of inflammatory and nutritional biomarkers in pancreatic cancer

Pancreatic cancer is usually associated with a poor prognosis.Surgery is the main curative treatment but pancreatic operations are aggressive and new tools that help clinicians to predict surgical and prognostic outcomes are necessary.Lu et al recently published a retrospective,single centre cohort study evaluating the impact of seven nutritional and inflammatory markers in pancreatic cancer surgical patients:The albumin-to-globulin ratio,prognostic nutritional index(PNI),systemic immune-inflammation index(SII),neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),nutritional risk index,and the geriatric nutritional risk index.A significant correlation was found between the PNI,SII,NLR,and PLR and a hospital discharge of less than 15 days.In a univariable analysis,PNI,SII,NLR and PLR were significantly related to recurrence-free survival and,in a multivariable analysis PNI was associated with overall survival.Various meta-analyses corroborate the results in terms of prognosis but individual studies are discordant on their usefulness.Besides,the cut-off values for these markers vary significantly between studies and there are no clinical trials comparing them to identify the most relevant ones.These are limitations when implementing nutritional and inflammatory biomarkers into clinical practice and further studies are needed in order to answer these questions.

Research advancements in nanoparticles and cell-based drug delivery systems for the targeted killing of cancer cells

Nanotechnology in cancer therapy has significantly advanced treatment precision,effectiveness,and safety,improving patient outcomes and personalized care.Engineered smart nanoparticles and cell-based therapies are designed to target tumor cells,precisely sensing the tumor microenvironment(TME)and sparing normal cells.These nanoparticles enhance drug accumulation in tumors by solubilizing insoluble compounds or preventing their degradation,and they can also overcome therapy resistance and deliver multiple drugs simultaneously.Despite these benefits,challenges remain in patient-specific responses and regulatory approvals for cell-based or nanoparticle therapies.Cell-based drug delivery systems(DDSs)that primarily utilize the immune-recognition principle between ligands and receptors have shown promise in selectively targeting and destroying cancer cells.This review aims to provide a comprehensive overview of various nanoparticle and cell-based drug delivery system types used in cancer research.It covers approved and experimental nanoparticle therapies,including liposomes,micelles,protein-based and polymeric nanoparticles,as well as cell-based DDSs like macrophages,T-lymphocytes,dendritic cells,viruses,bacterial ghosts,minicells,SimCells,and outer membrane vesicles(OMVs).The review also explains the role of TME and its impact on developing smart DDSs in combination therapies and integrating nanoparticles with cell-based systems for targeting cancer cells.By detailing DDSs at different stages of development,from laboratory research to clinical trials and approved treatments,this review provides the latest insights and a collection of valuable citations of the innovative strategies that can be improved for the precise treatment of cancer.

Improving postoperative outcomes in patients with pancreatic cancer:Inflammatory and nutritional biomarkers

This editorial assesses the prognostic value of preoperative inflammatory and nutritional biomarkers in patients undergoing surgical resection for pancreatic cancer.Lu et al evaluated the ability of seven biomarkers to predict postoperative recovery and long-term outcomes.These biomarkers were albumin-to-globulin ratio,prognostic nutritional index(PNI),systemic immune-inflammation index,neutrophil-to-lymphocyte ratio,platelet-to-lymphocyte ratio,nutritional risk index,and geriatric nutritional risk index.The PNI was found to be a strong predictor of both overall and recurrence-free survival,underscoring its clinical relevance in managing patients with pancreatic cancer.

Sine oculis homeobox homolog family function in gastrointestinal cancer:Progression and comprehensive analysis

The sine oculis homeobox homolog(SIX)family,a group of transcription factors characterized by a conserved DNA-binding homology domain,plays a critical role in orchestrating embryonic development and organogenesis across various organisms,including humans.Comprising six distinct members,from SIX1 to SIX6,each member contributes uniquely to the development and differentiation of diverse tissues and organs,underscoring the versatility of the SIX family.Dysregulation or mutations in SIX genes have been implicated in a spectrum of developmental disorders,as well as in tumor initiation and progression,highlighting their pivotal role in maintaining normal developmental trajectories and cellular functions.Efforts to target the transcriptional complex of the SIX gene family have emerged as a promising strategy to inhibit tumor development.While the development of inhibitors targeting this gene family is still in its early stages,the significant potential of such interventions holds promise for future therapeutic advances.Therefore,this review aimed to comprehensively explore the advancements in understanding the SIX family within gastrointestinal cancers,focusing on its critical role in normal organ development and its implications in gastrointestinal cancers,including gastric,pancreatic,colorectal cancer,and hepatocellular carcinomas.In conclusion,this review deepened the understanding of the functional roles of the SIX family and explored the potential of utilizing this gene family for the diagnosis,prognosis,and treatment of gastrointestinal cancers.

SBL-JP-0004:A promising dual inhibitor of JAK2 and PI3KCD against gastric cancer

Background:Gastric cancer(GC)remains a global health burden and is often characterized by heterogeneous molecular profiles and resistance to conventional therapies.The phosphoinositide 3-kinase and PI3K and Janus kinase(JAK)signal transducer and activator of transcription(JAK-STAT)pathways play pivotal roles in GC progression,making them attractive targets for therapeutic interventions.Methods:This study applied a computational and molecular dynamics simulation approach to identify and characterize SBL-JP-0004 as a potential dual inhibitor of JAK2 and PI3KCD kinases.KATOIII and SNU-5 GC cells were used for in vitro evaluation.Results:SBL-JP-0004 exhibited a robust binding affinity for JAK2 and PI3KCD kinases,as evidenced by molecular docking scores and molecular dynamics simulations.Binding interactions and Gibbs binding free energy estimates confirmed stable and favorable interactions with target proteins.SBL-JP-0004 displayed an half-maximal inhibitory concentration(IC_(50))value of 118.9 nM against JAK2 kinase and 200.9 nM against PI3KCD enzymes.SBL-JP-0004 exhibited potent inhibition of cell proliferation in KATOIII and SNU-5 cells,with half-maximal growth inhibitory concentration(GI50)values of 250.8 and 516.3 nM,respectively.A significant elevation in the early phase apoptosis(28.53%in KATOIII cells and 26.85%in SNU-5 cells)and late phase apoptosis(17.37%in KATOIII cells and 10.05%in SNU-5 cells)were observed with SBL-JP-0004 treatment compared to 2.1%and 2.83%in their respective controls.Conclusion:The results highlight SBL-JP-0004 as a promising dual inhibitor targeting JAK2 and PI3KCD kinases for treating GC and warrant further preclinical and clinical investigations to validate its utility in clinical settings.

Proton pump inhibitors and all-cause mortality risk among cancer patients

BACKGROUND Proton pump inhibitors(PPIs)are widely used,including among cancer patients,to manage gastroesophageal reflux and other gastric acid-related disorders.Recent evidence suggests associations between long-term PPI use and higher risks for various adverse health outcomes,including greater mortality.AIM To investigate the association between PPI use and all-cause mortality among cancer patients by a comprehensive analysis after adjustment for various confounders and a robust methodological approach to minimize bias.METHODS This retrospective cohort study used data from the TriNetX research network,with electronic health records from multiple healthcare organizations.The study employed a new-user,active comparator design,which compared newly treated PPI users with non-users and newly treated histamine2 receptor antagonists(H2RA)users among adult cancer patients.Newly prescribed PPIs(esomeprazole,lansoprazole,omeprazole,pantoprazole,or rabeprazole)users were compared to non-users or newly prescribed H2RAs(cimetidine,famotidine,nizatidine,or ranitidine)users.The primary outcome was all-cause mortality.Each patient in the main group was matched to a patient in the control group using 1:1 propensity score matching to reduce confounding effects.Multivariable Cox regression models were used to estimate hazard ratios(HRs)and 95% confidence interval(CI).RESULTS During the follow-up period(median 5.4±1.8 years for PPI users and 6.5±1.0 years for non-users),PPI users demonstrated a higher all-cause mortality rate than non-users after 1 year,2 years,and at the end of follow up(HRs:2.34-2.72).Compared with H2RA users,PPI users demonstrated a higher rate of all-cause mortality HR:1.51(95%CI:1.41-1.69).Similar results were observed across sensitivity analyses by excluding deaths from the first 9 months and 1-year post-exposure,confirming the robustness of these findings.In a sensitivity analysis,we analyzed all-cause mortality outcomes between former PPI users and individuals who have never used PPIs,providing insights into the long-term effects of past PPI use.In addition,at 1-year follow-up,the analysis revealed a significant difference in mortality rates between former PPI users and non-users(HR:1.84;95%CI:1.82-1.96).CONCLUSION PPI use among cancer patients was associated with a higher risk of all-cause mortality compared to non-users or H2RA users.These findings emphasize the need for cautious use of PPIs in cancer patients and suggest that alternative treatments should be considered when clinically feasible.However,further studies are needed to corroborate our findings,given the significant adverse outcomes in cancer patients.

Deep learning identification of novel autophagic protein-protein interactions and experimental validation of Beclin 2-Ubiquilin 1 axis in triple-negative breast cancer

Background:Triple-negative breast cancer(TNBC),characterized by its lack of traditional hormone receptors and HER2,presents a significant challenge in oncology due to its poor response to conventional therapies.Autophagy is an important process for maintaining cellular homeostasis,and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors.In contrast to targeting protein activity,intervention with proteinprotein interaction(PPI)can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways.Methods:Here,we employed Naive Bayes,Decision Tree,and k-Nearest Neighbors to elucidate the complex PPI network associated with autophagy in TNBC,aiming to uncover novel therapeutic targets.Meanwhile,the candidate proteins interacting with Beclin 2 were initially screened in MDA-MB-231 cells using Beclin 2 as bait protein by immunoprecipitation-mass spectrometry assay,and the interaction relationship was verified by molecular docking and CO-IP experiments after intersection.Colony formation,cellular immunofluorescence,cell scratch and 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT)tests were used to predict the clinical therapeutic effects of manipulating candidate PPI.Results:By developing three PPI classification models and analyzing over 13,000 datasets,we identified 3733 previously unknown autophagy-related PPIs.Our network analysis revealed the central role of Beclin 2 in autophagy regulation,uncovering its interactions with 39 newly identified proteins.Notably,the CO-IP studies identified the substantial interaction between Beclin 2 and Ubiquilin 1,which was anticipated by our model and discovered in immunoprecipitation-mass spectrometry assay results.Subsequently,in vitro investigations showed that overexpressing Beclin 2 increased Ubiquilin 1,promoted autophagy-dependent cell death,and inhibited proliferation and metastasis in MDA-MB-231 cells.Conclusions:This study not only enhances our understanding of autophagy regulation in TNBC but also identifies the Beclin 2-Ubiquilin 1 axis as a promising target for precision therapy.These findings open new avenues for drug discovery and offer inspiration for more effective treatments for this aggressive cancer subtype.

TMED3 promotes prostate cancer via FOXO1a and FOXO3a phosphorylation

Background:Transmembrane emp24 trafficking protein 3(TMED3)is associated with the development of several tumors;however,whether TMED3 regulates the progression of prostate cancer remains unclear.Materials and Methods:Short hairpin RNA was performed to repress TMED3 in prostate cancer cells(DU145 cells)and in a prostate cancer mice model to determine its function in prostate cancer in vitro and in vivo.Results:In the present study,we found that TMED3 was highly expressed in prostate cancer cells.In vitro,shTMED3 treatment suppressed the proliferation,invasion,and migration and promoted the apoptosis of DU145 cells.Additionally,the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed a strong correlation between TMED3 and forkhead box O transcription factor(FOXO)pathway.Furthermore,TMED3 inhibition efficiently decreased FOXO1a and FOXO3a phosphorylation.In vivo,TMED3 downregulation suppressed the apoptosis,growth,and metastasis of prostate cancer cells via FOXO1a and FOXO3a.Conclusion:The present findings show that TMED3 participates in the regulation of prostate cancer progression via FOXO1a and FOXO3a phosphorylation,thereby revealing a novel mechanism underlying prostate cancer development and suggesting that TMED3 inhibition may serve as a novel strategy for prostate cancer treatment.