BACKGROUND Colorectal cancer(CRC)is a malignant tumor with high morbidity and mortality rates worldwide.With the development of medical imaging technology,imaging features are playing an increasingly important role in...BACKGROUND Colorectal cancer(CRC)is a malignant tumor with high morbidity and mortality rates worldwide.With the development of medical imaging technology,imaging features are playing an increasingly important role in the prognostic evaluation of CRC.Laparoscopic radical resection is a common surgical approach for treating CRC.However,research on the link between preoperative imaging and short-term prognosis in this context is limited.We hypothesized that specific preope-rative imaging features can predict the short-term prognosis in patients under-going laparoscopic CRC resection.AIM To investigate the imaging features of CRC and analyze their correlation with the short-term prognosis of laparoscopic radical resection.METHODS This retrospective study conducted at the Affiliated Cancer Hospital of Shandong First Medical University included 122 patients diagnosed with CRC who under-went laparoscopic radical resection between January 2021 and February 2024.All patients underwent magnetic resonance imaging(MRI)and were diagnosed with CRC through pathological examination.MRI data and prognostic indicators were collected 30 days post-surgery.Logistic regression analysis identified imaging fea-tures linked to short-term prognosis,and a receiver operating characteristic(ROC)curve was used to evaluate the predictive value.RESULTS Among 122 patients,22 had irregular,low-intensity tumors with adjacent high signals.In 55,tumors were surrounded by alternating signals in the muscle layer.In 32,tumors extended through the muscular layer and blurred boundaries with perienteric adipose tissue.Tumor signals appeared in the adjacent tissues in 13 patients with blurred gaps.Logistic regression revealed differences in longitudinal tumor length,axial tumor length,volume transfer constant,plasma volume fraction,and apparent diffusion coefficient among patients with varying prognostic results.ROC analysis indicated that the areas under the curve for these parameters were 0.648,0.927,0.821,0.809,and 0.831,respectively.Sensitivity values were 0.643,0.893,0.607,0.714,and 0.714,and specificity 0.702,0.904,0.883,0.968,and 0.894(P<0.05).CONCLUSION The imaging features of CRC correlate with the short-term prognosis following laparoscopic radical resection.These findings provide valuable insights for clinical decision-making.展开更多
BACKGROUND: Acute liver failure(ALF) is an acute severe deterioration of liver function with high mortality. Early and accurate prognostic assessment of patients with ALF is critically important. Although the model fo...BACKGROUND: Acute liver failure(ALF) is an acute severe deterioration of liver function with high mortality. Early and accurate prognostic assessment of patients with ALF is critically important. Although the model for end-stage liver disease(MELD) scores and King’s College Hospital(KCH) criteria are well-accepted as predictive tools, their accuracy is unsatisfactory.The indocyanine green(ICG) clearance test(ICGR15, ICG retention rate at the 15 minutes) is a sensitive indicator of liver function. In this study, we investigated the efficacy of the ICGR15 for the short-term prognosis in patients with ALF. We compared the predictive value of ICGR15 with the MELD scores and KCH criteria.METHODS: Sixty-nine patients who had been diagnosed with ALF were recruited retrospectively. ICGR15 had been performed by ICG pulse spectrophotometry and relevant clinical and laboratory indices were analyzed within 24 hours of diagnosis.In addition, the MELD scores and KCH criteria were calculated.RESULTS: The three-month mortality of all patients was 47.83%.Age, serum total bilirubin and creatinine concentrations,international normalized ratio for prothrombin time, ICGR15,MELD scores and KCH criteria differed significantly between surviving and deceased patients. A positive correlation was observed between ICGR15 and MELD scores(r=0.328, P=0.006).The ICGR15-MELD model, Logit(P)=0.096×ICGR15+0.174 ×MELD score–9.346, was constructed by logistic regression analysis. The area under the receiver operating characteristic curve was 0.855. When set the cut-off point to-0.4684, the sensitivity was 87.90% and specificity, 72.20%. The area under the receiver operating characteristic curve of the ICGR15-MELD model(0.855) was significantly higher than that of the ICGR15(0.793), MELD scores(0.776) and KCH criteria(0.659).Based on this cut-off value, the patients were divided into two groups. The mortality was 74.36% in the first group(ICGR15-MELD≥-0.4686) and 13.33% in the second group(ICGR15-MELD<-0.4686), with a significant difference between the two groups(χ2=25.307, P=0.000).CONCLUSION: The ICGR15-MELD model is superior to the ICGR15, MELD scores, and KCH criteria in predicting the shortterm prognosis of patients with ALF.展开更多
Heat stroke is a potentially life-threatening condition characterized by a core temperature that exceeds the external temperature and is accompanied by central nervous system(CNS)abnormalities.[1]It has two forms,clas...Heat stroke is a potentially life-threatening condition characterized by a core temperature that exceeds the external temperature and is accompanied by central nervous system(CNS)abnormalities.[1]It has two forms,classical heat stroke and exertional heat stroke(EHS).EHS is usually experienced by athletes,military personnel,and outdoor laborers in hot and humid environments.展开更多
we critically review the authors’perspective and analyze the relevance of the results obtained in the original article of clinical research by Liu et al.We consider that additional factors associated with colon cance...we critically review the authors’perspective and analyze the relevance of the results obtained in the original article of clinical research by Liu et al.We consider that additional factors associated with colon cancer progression have recently been described in extensive clinical research,and should be included in this analysis to achieve a more accurate prognosis.These factors include inflammation,gut microbiota composition,immune status and nutritional balance,as they influence the post-surgical survival profile of patients with stage II colorectal cancer.We also address the clinical implementation and limitations of these analyses.Evaluation of the patient´s entire context is essential for selection of the most appropriate therapy.展开更多
BACKGROUND Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer,the prognostic value of hematocrit for colorectal cancer(CRC)patients has...BACKGROUND Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer,the prognostic value of hematocrit for colorectal cancer(CRC)patients has not been determined.The prognostic value of red blood cell distribution width(RDW)for CRC patients was controversial.AIM To investigate the impact of RDW and hematocrit on the short-term outcomes and long-term prognosis of CRC patients who underwent radical surgery.METHODS Patients who were diagnosed with CRC and underwent radical CRC resection between January 2011 and January 2020 at a single clinical center were included.The short-term outcomes,overall survival(OS)and disease-free survival(DFS)were compared among the different groups.Cox analysis was also conducted to identify independent risk factors for OS and DFS.RESULTS There were 4258 CRC patients who underwent radical surgery included in our study.A total of 1573 patients were in the lower RDW group and 2685 patients were in the higher RDW group.There were 2166 and 2092 patients in the higher hematocrit group and lower hematocrit group,respectively.Patients in the higher RDW group had more intraoperative blood loss(P<0.01)and more overall complications(P<0.01)than did those in the lower RDW group.Similarly,patients in the lower hematocrit group had more intraoperative blood loss(P=0.012),longer hospital stay(P=0.016)and overall complications(P<0.01)than did those in the higher hematocrit group.The higher RDW group had a worse OS and DFS than did the lower RDW group for tumor node metastasis(TNM)stage I(OS,P<0.05;DFS,P=0.001)and stage II(OS,P=0.004;DFS,P=0.01)than the lower RDW group;the lower hematocrit group had worse OS and DFS for TNM stage II(OS,P<0.05;DFS,P=0.001)and stage III(OS,P=0.001;DFS,P=0.001)than did the higher hematocrit group.Preoperative hematocrit was an independent risk factor for OS[P=0.017,hazard ratio(HR)=1.256,95%confidence interval(CI):1.041-1.515]and DFS(P=0.035,HR=1.194,95%CI:1.013-1.408).CONCLUSION A higher preoperative RDW and lower hematocrit were associated with more postoperative complications.However,only hematocrit was an independent risk factor for OS and DFS in CRC patients who underwent radical surgery,while RDW was not.展开更多
As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigat...As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.展开更多
Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(H...Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.展开更多
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 diagnose...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.展开更多
According to the Japanese Ministry of Health,Labour,and Welfare,14.2%of people were aged>75 years in Japan in 2018,and this number continues to rise.With population aging,the incidence of congestive heart failure(C...According to the Japanese Ministry of Health,Labour,and Welfare,14.2%of people were aged>75 years in Japan in 2018,and this number continues to rise.With population aging,the incidence of congestive heart failure(CHF)is also increasing.[1–3]Reports have shown that the presence of cognitive impairment(CI)in patients with CHF is associated with poor prognosis,[4–6]and the degree of CI is related to CHF severity.展开更多
Introduction: Adolescent childbirth is a public health and social problem worldwide. It is associated with both maternal and perinatal morbidity and mortality. The general objective of our study is to determine the pr...Introduction: Adolescent childbirth is a public health and social problem worldwide. It is associated with both maternal and perinatal morbidity and mortality. The general objective of our study is to determine the prevalence and profile of pregnant women, and to assess the maternal and perinatal prognosis of adolescent childbirth in Kisangani. Methods: This was a prospective, multicenter, case-control observational study conducted over a seven-month period, from February 1 to August 31, 2024, in primiparous adolescent gestational carriers (cases) and primiparous gestational carriers aged 20 to 34 years (controls) who delivered in five health facilities in the city of Kisangani, Democratic Republic of Congo. Results: The prevalence of teenage childbirth was 13.8%. Adolescents were more likely than controls to be in secondary education and to be unemployed. Compared with controls, pregnant adolescents were more likely to have poor ANC attendance. There was a statistical difference between the two groups in relation to pelvic anomaly, rupture of membranes on admission, hypertensive disorders, vicious presentation, caesarean section, episiotomy, postpartum anaemia and puerperal psychosis. In fact, these morbidities were more common in adolescent girls than in controls. Compared with controls, neonatal depression, prematurity, low birth weight and perinatal death were more prevalent in the newborns of teenage mothers. Conclusion: The prevalence of teenage childbirth is high in Kisangani;there is an association between unmarried status, lack of employment, low socio-economic status, poor ANC follow-up and teenage childbirth in Kisangani. The latter is also associated with high maternal and perinatal morbidity and mortality.展开更多
Introduction: The association of sickle cell disease and pregnancy is a risky situation for the mother as well as the fetus and even the neonate. The objective of this work was to study the maternal and perinatal prog...Introduction: The association of sickle cell disease and pregnancy is a risky situation for the mother as well as the fetus and even the neonate. The objective of this work was to study the maternal and perinatal prognosis of pregnancies in women with sickle cell disease at CHUD-Borgou/Alibori from 2019 to 2023. Patients and Methods: This was a case-control study with a retrospective collection of data from January 1, 2019 to June 30, 2023. It covered sickle cell and non-sickle cell women and their neonates who having given birth at the maternity ward of CHUD-Borgou/Alibori. Results: The frequency of pregnant women with sickle cell disease was 1.36% (153/11212). The average age of the pregnant women with sickle cell disease was 26.77 years ± 5.03. Vaso-occlusive crisis (VOC) was the main complication observed in pregnant women with sickle cell disease during pregnancy (26%). Regarding the complications common to the 2 groups of pregnant women, urinary tract infections (18.1%), severe anemia (22.8%), and severe malaria (26.8%) were more reported in sickle cell patients with a statistically significant difference (p-value = 0.000). Delivery was premature in 61.9% of pregnant women with sickle cell disease compared to 18.5% in pregnant women without sickle cell disease, with a significant difference (p-value = 0.000). The main route of delivery among patients with sickle cell disease was cesarean section (94.4%), while it was vaginal delivery (50.4%) among non-sickle cell pregnant women. VOC (4.8%), severe anemia (39.7%), and acute pulmonary edema (2.4%) were the main complications reported among sickle cell pregnant women in the immediate postpartum period with a significant difference (p-value = 0.000). Three cases of maternal death (2.4%) were recorded in pregnant women with sickle cell disease. The neonatal pathologies identified in the neonates of pregnant women with and without sickle cell disease were mainly neonatal bacterial infection (20.0% vs. 17.2%), hypotrophy (17.0% vs. 5.7%), prematurity (14.8% vs. 7.3%) with a significant difference (p-value = 0.000). The perinatal mortality rate was 57.14‰ in sickle cell women compared to 30‰ with a significant difference (p-value = 0.000). Conclusion: Pregnancy in women with sickle cell disease carries a high risk of maternal and perinatal morbidity and mortality. Information, awareness raising among populations and the adaptation of prenatal care are essential.展开更多
Dear Editor,Lung cancer is a major global health concern,with 2.2 million patients diagnosed in 2020.Non-small cell lung cancer(NSCLC)accounts for 80%of these cases,primarily comprising two subtypes:lung adenocarcinom...Dear Editor,Lung cancer is a major global health concern,with 2.2 million patients diagnosed in 2020.Non-small cell lung cancer(NSCLC)accounts for 80%of these cases,primarily comprising two subtypes:lung adenocarcinoma(LUAD)and squamous cell carcinoma(LUSC)[1].Researchers use immunohisto-chemistry,next-generation sequencing,and single-cell RNA sequencing to study genetic alterations,tumor heterogeneity,and tumor microenvironments,aiming to identify potential therapeutic options for specific NSCLC subtypes[2].展开更多
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 limite...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.展开更多
Background:Kidney renal clear cell carcinoma(KIRC),a prevalent urological malignancy,represents about 3%of all adult malignancies.KIRC,accounting for~75%of renal malignancies,has poor prognosis in metastatic stages.Id...Background:Kidney renal clear cell carcinoma(KIRC),a prevalent urological malignancy,represents about 3%of all adult malignancies.KIRC,accounting for~75%of renal malignancies,has poor prognosis in metastatic stages.Identifying robust prognostic markers remains urgent.Block of proliferation 1(BOP1),a WD40-repeat protein,is implicated in cancer pathogenesis,but its role in KIRC is unclear.This study aimed to characterize BOP1 expression in KIRC and evaluate its prognostic value.Methods:BOP1 transcriptional levels were assessed through TCGA-KIRC RNA sequencing datasets.ROC curve construction was implemented via R statistical packages for diagnostic evaluation.Patient survival outcomes were visualized through Kaplan-Meier plotting with log-rank testing.Multivariate logistic regression models quantified associations between BOP1 expression and clinicopathological parameters.TIMER algorithm analyzed immune microenvironment composition.Genomic alterations and epigenetic modifications were investigated using cBioPortal and MethSurv platforms respectively.BOP1 protein levels in 786-O clear cell renal cell carcinoma(ccRCC)versus HK-2(normal renal)cell lines were validated by immunoblotting.Results:Evaluation of the TCGA database demonstrated that BOP1 mRNA abundance was higher in tumor specimens than in corresponding adjacent tissues.Patients with KIRC who had high BOP1 expression had differential overall survival(OS),disease-specific survival(DSS),and disease-free interval(DFI).BOP1 expression accurately recognised tumour tissues versus normal tissues(AUC=0.858),and the area under the ROCs for survival at 1,3,and 5 years were all greater than 0.6.The BOP1 gene variant rate was<1%.Out of the 15 DNA methylation CpG sites examined,7 exhibited prognostic significance in KIRC.BOP1 displayed a distinct relationship with immune cell infiltration in KIRC.The 786-O experimental group exhibited substantially higher BOP1 expression,as confirmed by Western blot detection.Conclusion:This study indicates that heightened BOP1 expression is linked to an adverse prognosis in KIRC,establishing it as an independent risk factor for this disease.These findings establish BOP1 as a novel and independent prognostic biomarker for KIRC,offering potential clinical utility for risk stratification and personalized therapeutic strategies.展开更多
Objective To investigate the combined effects of thymidine phosphorylase(TYMP)and sine oculis homeobox homologue 1(Six1)on the tumor microenvironment and their role in promoting metastasis in gastric cancer(GC).Method...Objective To investigate the combined effects of thymidine phosphorylase(TYMP)and sine oculis homeobox homologue 1(Six1)on the tumor microenvironment and their role in promoting metastasis in gastric cancer(GC).Methods A total of 674 GC patients who underwent surgical resection were enrolled.Correlations between TYMP/Six1 expression and the clinicopathological characteristics and overall survival of patients were analysed.The expression of TYMP,Six1 and vascular endothelial growth factor C(VEGFc)was quantified via immunohistochemistry and quantitative real-time polymerase chain reaction.Cell transfection,wound-healing assays and bioinformatics analyses were used to explore the potential underlying mechanisms involved.Results Compared with the other groups,the Six1+/TYMP+patients exhibited poor differentiation,advanced tumor stage,a higher rate of lymphatic vessel invasion and shorter survival.Additionally,the protein expression of TYMP and Six1 was positively correlated with the VEGFc level.A significant increase in VEGFc expression was observed in cells transfected with TYMP,Six1,and TYMP/Six1 vectors.The results of the wound-healing assay indicated that the synergistic effect of TYMP and Six1 enhanced the migratory ability of GC cells.Furthermore,bioinformatics analysis revealed that TYMP and Six1 were positively correlated with immunosuppressive immune cell subsets and elevated the expression of inhibitory immune checkpoints in GC.Conclusions The combination of TYMP and Six1 is a good predictive and prognostic biomarker for GC.This combination enhances the expression of VEGFc,facilitates the invasion of GC cells,and may be linked to inhibitory immune cells and the tumor immune microenvironment.展开更多
BACKGROUND Colorectal cancer(CRC)is a common malignancy that has become a global burden.The prognostic prediction of CRC patients on the basis of inflammatory biomarkers and nutritional biomarkers has shown some poten...BACKGROUND Colorectal cancer(CRC)is a common malignancy that has become a global burden.The prognostic prediction of CRC patients on the basis of inflammatory biomarkers and nutritional biomarkers has shown some potential but has not been fully explored.AIM To develop and validate a prognostic model for CRC based on inflammation and nutrition-related biomarkers and to evaluate its predictive value for patient outcomes.METHODS Patients were randomized at a 3:2 ratio into a training cohort(n=282)or a validation cohort(n=188).To identify the optimal prognostic factors for constructing the risk score(RS),LASSO Cox regression analysis was conducted.The association between the RS and overall survival(OS)was evaluated using receiver operating characteristic(ROC)curves and Kaplan-Meier(K-M)survival analysis.Independent risk factors were screened by multivariate Cox regression analysis.Nomograms were constructed and validated on the basis of these factors.RESULTS In the training cohort,univariate analysis of all the inflammatory and nutritional biomarkers demonstrated some predictive value.A LASSO-Cox analysis included four biomarkers and constructed an RS.Through ROC analysis,the area under the prognostic curve was 0.795.K-M survival curve analyses revealed that the five-year OS was significantly greater in the Low-RS group than in the High-RS group(P<0.001).Multivariate analysis demonstrated that the degree of differentiation(P=0.001),degree of nerve invasion(P=0.022),and RS(P<0.001)were independent risk factors.We constructed a nomogram to predict the OS of CRC patients and validated it in a separate cohort.The calibration curve showed high accuracy.Additionally,decision curve analysis for 1-year,3-year,and 5-year survival probabilities indicated significant clinical utility in predicting survival outcomes.CONCLUSION This study developed a nomogram based on the RS to predict the OS of CRC patients.This nomogram can guide treatment decisions and enable the formulation of personalized follow-up strategies on the basis of predicted recurrence risk,aiming to improve long-term prognosis.展开更多
Objective To develop and validate a preoperative clinical-radiomics model for predicting overall survival(OS)and disease-free survival(DFS)in patients with extrahepatic cholangiocarcinoma(eCCA)undergoing radical resec...Objective To develop and validate a preoperative clinical-radiomics model for predicting overall survival(OS)and disease-free survival(DFS)in patients with extrahepatic cholangiocarcinoma(eCCA)undergoing radical resection.Methods In this retrospective study,consecutive patients with pathologically-confirmed eCCA who underwent radical resection at our institution from 2015 to 2022 were included.The patients were divided into a training cohort and a validation cohort according to the chronological order of their CT examinations.Least absolute shrinkage and selection operator(LASSO)-Cox regression was employed to select predictive radiomic features and clinical variables.The selected features and variables were incorporated into a Cox regression model.Model performance for 1-year OS and DFS prediction was assessed using calibration curves,area under receiver operating characteristic curve(AUC),and concordance index(C-index).Results This study included 123 patients(mean age 64.0±8.4 years,85 males/38 females),with 86 in the training cohort and 37 in the validation cohort.The OS-predicting model included four clinical variables and four radiomic features.It achieved a training cohort AUC of 0.858(C-index=0.800)and a validation cohort AUC of 0.649(C-index=0.605).The DFS-predicting model included four clinical variables and four other radiomic features.It achieved a training cohort AUC of 0.830(C-index=0.760)and a validation cohort AUC of 0.717(C-index=0.616).Conclusion The preoperative clinical-radiomics models show promise as a tool for predicting 1-year OS and DFS in eCCA patients after radical surgery.展开更多
Hypertrophic cardiomyopathy(HCM)is an autosomal dominant inherited cardiomyopathy characterized by left ventricular hypertrophy.It is one of the chief causes of sudden cardiac death in younger people and athletes.Mole...Hypertrophic cardiomyopathy(HCM)is an autosomal dominant inherited cardiomyopathy characterized by left ventricular hypertrophy.It is one of the chief causes of sudden cardiac death in younger people and athletes.Molecular-genetic studies have confirmed that the vast majority of HCM is caused by mutations in genes encoding sarcomere proteins.HCM has a relatively wide phenotypic heterogeneity,varying from asymptomatic to sudden cardiac death,because of the many different mutations and pathogenic genes underlying it.Many studies have explored the clinical symptoms and prognosis of HCM,emphasizing the importance of genotype in evaluating patient prognosis and guiding the clinical management of HCM.To elaborate the main pathogenic genes and phenotypic prognosis in HCM to promote a better understanding of this genetic disease.Retrospective analysis of literature to evaluate the association between underlying gene mutations and clinical phenotypes in HCM patients.As sequencing technology advances,the pathogenic gene mutation spectrum and phenotypic characteristics of HCM are gradually becoming clearer.HCM is a widespread inherited disease with a highly variable clinical phenotype.The precise mechanisms linking known pathogenic gene mutations and the clinical course of this heterogeneous condition remain elusive.展开更多
Hepatocellular carcinoma(HCC)is a prevalent and aggressive liver cancer that poses significant challenges in diagnosis and prognosis.Recent advancements in radiomics and machine learning(ML)offer promising solutions t...Hepatocellular carcinoma(HCC)is a prevalent and aggressive liver cancer that poses significant challenges in diagnosis and prognosis.Recent advancements in radiomics and machine learning(ML)offer promising solutions to enhance the accuracy of HCC diagnosis,treatment response prediction,and survival prognosis.Radiomics,which extracts quantitative features from medical images,captures the complex tumor heterogeneity that is often undetectable with traditional imaging methods.When combined with ML algorithms,these features can be used to differentiate between various stages of HCC,predict treatment outcomes,and assess long-term survival.This review explores key radiomic features,including texture,shape,and intensity,and their integration with ML techniques like binary classification models,XGBoost,LightGBM,and deep learning architectures.We also discuss the challenges faced in model interpretation,data heterogeneity,and the integration of multi-modal data.Despite the promising potential of these technologies,the clinical adoption of radiomics and ML models in HCC management will require overcoming these obstacles through standardization and improved interpretability.展开更多
We read with great interest the study by Huang et al.Cholangiocarcinoma(CC)is the second most common type of primary liver tumor worldwide.Although surgical resection remains the primary treatment for this disease,alm...We read with great interest the study by Huang et al.Cholangiocarcinoma(CC)is the second most common type of primary liver tumor worldwide.Although surgical resection remains the primary treatment for this disease,almost 50%of patients experience relapse within 2 years after surgery,which negatively affects their prognosis.Key predictors can be used to identify several factors(e.g.,tumor size,tumor location,tumor stage,nerve invasion,the presence of intravascular emboli)and their correlations with long-term survival and the risk of postoperative morbidity.In recent years,artificial intelligence(AI)has become a new tool for prognostic assessment through the integration of multiple clinical,surgical,and imaging parameters.However,a crucial question has arisen:Are we ready to trust AI with respect to clinical decisions?The study by Huang et al demonstrated that AI can predict preoperative textbook outcomes in patients with CC and highlighted the precision of machine learning algorithms using useful prognostic factors.This letter to the editor aimed to explore the challenges and potential impact of AI and machine learning in the prognostic assessment of patients with CC.展开更多
文摘BACKGROUND Colorectal cancer(CRC)is a malignant tumor with high morbidity and mortality rates worldwide.With the development of medical imaging technology,imaging features are playing an increasingly important role in the prognostic evaluation of CRC.Laparoscopic radical resection is a common surgical approach for treating CRC.However,research on the link between preoperative imaging and short-term prognosis in this context is limited.We hypothesized that specific preope-rative imaging features can predict the short-term prognosis in patients under-going laparoscopic CRC resection.AIM To investigate the imaging features of CRC and analyze their correlation with the short-term prognosis of laparoscopic radical resection.METHODS This retrospective study conducted at the Affiliated Cancer Hospital of Shandong First Medical University included 122 patients diagnosed with CRC who under-went laparoscopic radical resection between January 2021 and February 2024.All patients underwent magnetic resonance imaging(MRI)and were diagnosed with CRC through pathological examination.MRI data and prognostic indicators were collected 30 days post-surgery.Logistic regression analysis identified imaging fea-tures linked to short-term prognosis,and a receiver operating characteristic(ROC)curve was used to evaluate the predictive value.RESULTS Among 122 patients,22 had irregular,low-intensity tumors with adjacent high signals.In 55,tumors were surrounded by alternating signals in the muscle layer.In 32,tumors extended through the muscular layer and blurred boundaries with perienteric adipose tissue.Tumor signals appeared in the adjacent tissues in 13 patients with blurred gaps.Logistic regression revealed differences in longitudinal tumor length,axial tumor length,volume transfer constant,plasma volume fraction,and apparent diffusion coefficient among patients with varying prognostic results.ROC analysis indicated that the areas under the curve for these parameters were 0.648,0.927,0.821,0.809,and 0.831,respectively.Sensitivity values were 0.643,0.893,0.607,0.714,and 0.714,and specificity 0.702,0.904,0.883,0.968,and 0.894(P<0.05).CONCLUSION The imaging features of CRC correlate with the short-term prognosis following laparoscopic radical resection.These findings provide valuable insights for clinical decision-making.
基金supported by a grant from the Foundation of the Ministry of Health,China(2008ZX1005)
文摘BACKGROUND: Acute liver failure(ALF) is an acute severe deterioration of liver function with high mortality. Early and accurate prognostic assessment of patients with ALF is critically important. Although the model for end-stage liver disease(MELD) scores and King’s College Hospital(KCH) criteria are well-accepted as predictive tools, their accuracy is unsatisfactory.The indocyanine green(ICG) clearance test(ICGR15, ICG retention rate at the 15 minutes) is a sensitive indicator of liver function. In this study, we investigated the efficacy of the ICGR15 for the short-term prognosis in patients with ALF. We compared the predictive value of ICGR15 with the MELD scores and KCH criteria.METHODS: Sixty-nine patients who had been diagnosed with ALF were recruited retrospectively. ICGR15 had been performed by ICG pulse spectrophotometry and relevant clinical and laboratory indices were analyzed within 24 hours of diagnosis.In addition, the MELD scores and KCH criteria were calculated.RESULTS: The three-month mortality of all patients was 47.83%.Age, serum total bilirubin and creatinine concentrations,international normalized ratio for prothrombin time, ICGR15,MELD scores and KCH criteria differed significantly between surviving and deceased patients. A positive correlation was observed between ICGR15 and MELD scores(r=0.328, P=0.006).The ICGR15-MELD model, Logit(P)=0.096×ICGR15+0.174 ×MELD score–9.346, was constructed by logistic regression analysis. The area under the receiver operating characteristic curve was 0.855. When set the cut-off point to-0.4684, the sensitivity was 87.90% and specificity, 72.20%. The area under the receiver operating characteristic curve of the ICGR15-MELD model(0.855) was significantly higher than that of the ICGR15(0.793), MELD scores(0.776) and KCH criteria(0.659).Based on this cut-off value, the patients were divided into two groups. The mortality was 74.36% in the first group(ICGR15-MELD≥-0.4686) and 13.33% in the second group(ICGR15-MELD<-0.4686), with a significant difference between the two groups(χ2=25.307, P=0.000).CONCLUSION: The ICGR15-MELD model is superior to the ICGR15, MELD scores, and KCH criteria in predicting the shortterm prognosis of patients with ALF.
基金supported by the Capital's Funds for Health Improvement and Research of China(2020-1-5031)the Military Medical Innovation Research Project of Chinese PLA General Hospital(CX19014).
文摘Heat stroke is a potentially life-threatening condition characterized by a core temperature that exceeds the external temperature and is accompanied by central nervous system(CNS)abnormalities.[1]It has two forms,classical heat stroke and exertional heat stroke(EHS).EHS is usually experienced by athletes,military personnel,and outdoor laborers in hot and humid environments.
基金Supported by Consejo Nacional de Investigaciones Científicas y Técnicas,No.PIP11220200103061COAgencia Nacional de promoción Científica y Tecnológica,No.PICT-2020-SERIEA-03440Universidad Nacional del Sur,No.PGI 24/B303 and No.PGI 24/ZB01.
文摘we critically review the authors’perspective and analyze the relevance of the results obtained in the original article of clinical research by Liu et al.We consider that additional factors associated with colon cancer progression have recently been described in extensive clinical research,and should be included in this analysis to achieve a more accurate prognosis.These factors include inflammation,gut microbiota composition,immune status and nutritional balance,as they influence the post-surgical survival profile of patients with stage II colorectal cancer.We also address the clinical implementation and limitations of these analyses.Evaluation of the patient´s entire context is essential for selection of the most appropriate therapy.
基金The study was approved by the ethics committee of the First Affiliated Hospital of Chongqing Medical University(2022-K205),this study was conducted in accordance with the World Medical Association Declaration of Helsinki as well。
文摘BACKGROUND Previous studies have reported that low hematocrit levels indicate poor survival in patients with ovarian cancer and cervical cancer,the prognostic value of hematocrit for colorectal cancer(CRC)patients has not been determined.The prognostic value of red blood cell distribution width(RDW)for CRC patients was controversial.AIM To investigate the impact of RDW and hematocrit on the short-term outcomes and long-term prognosis of CRC patients who underwent radical surgery.METHODS Patients who were diagnosed with CRC and underwent radical CRC resection between January 2011 and January 2020 at a single clinical center were included.The short-term outcomes,overall survival(OS)and disease-free survival(DFS)were compared among the different groups.Cox analysis was also conducted to identify independent risk factors for OS and DFS.RESULTS There were 4258 CRC patients who underwent radical surgery included in our study.A total of 1573 patients were in the lower RDW group and 2685 patients were in the higher RDW group.There were 2166 and 2092 patients in the higher hematocrit group and lower hematocrit group,respectively.Patients in the higher RDW group had more intraoperative blood loss(P<0.01)and more overall complications(P<0.01)than did those in the lower RDW group.Similarly,patients in the lower hematocrit group had more intraoperative blood loss(P=0.012),longer hospital stay(P=0.016)and overall complications(P<0.01)than did those in the higher hematocrit group.The higher RDW group had a worse OS and DFS than did the lower RDW group for tumor node metastasis(TNM)stage I(OS,P<0.05;DFS,P=0.001)and stage II(OS,P=0.004;DFS,P=0.01)than the lower RDW group;the lower hematocrit group had worse OS and DFS for TNM stage II(OS,P<0.05;DFS,P=0.001)and stage III(OS,P=0.001;DFS,P=0.001)than did the higher hematocrit group.Preoperative hematocrit was an independent risk factor for OS[P=0.017,hazard ratio(HR)=1.256,95%confidence interval(CI):1.041-1.515]and DFS(P=0.035,HR=1.194,95%CI:1.013-1.408).CONCLUSION A higher preoperative RDW and lower hematocrit were associated with more postoperative complications.However,only hematocrit was an independent risk factor for OS and DFS in CRC patients who underwent radical surgery,while RDW was not.
基金supported by the National Natural Science Foundation of China(22379021 and 22479021)。
文摘As batteries become increasingly essential for energy storage technologies,battery prognosis,and diagnosis remain central to ensure reliable operation and effective management,as well as to aid the in-depth investigation of degradation mechanisms.However,dynamic operating conditions,cell-to-cell inconsistencies,and limited availability of labeled data have posed significant challenges to accurate and robust prognosis and diagnosis.Herein,we introduce a time-series-decomposition-based ensembled lightweight learning model(TELL-Me),which employs a synergistic dual-module framework to facilitate accurate and reliable forecasting.The feature module formulates features with physical implications and sheds light on battery aging mechanisms,while the gradient module monitors capacity degradation rates and captures aging trend.TELL-Me achieves high accuracy in end-of-life prediction using minimal historical data from a single battery without requiring offline training dataset,and demonstrates impressive generality and robustness across various operating conditions and battery types.Additionally,by correlating feature contributions with degradation mechanisms across different datasets,TELL-Me is endowed with the diagnostic ability that not only enhances prediction reliability but also provides critical insights into the design and optimization of next-generation batteries.
文摘Objective INF2 is a member of the formins family.Abnormal expression and regulation of INF2 have been associated with the progression of various tumors,but the expression and role of INF2 in hepatocellular carcinoma(HCC)remain unclear.HCC is a highly lethal malignant tumor.Given the limitations of traditional treatments,this study explored the expression level,clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets.Methods In this study,we used public databases to analyze the expression of INF2 in pan-cancer and HCC,as well as the impact of INF2 expression levels on HCC prognosis.Quantitative real time polymerase chain reaction(RT-qPCR),Western blot,and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues.The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples.Subsequently,the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments.Finally,the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments.Results INF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival,liver cirrhosis and pathological differentiation of HCC patients.The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC.In vivo and in vitro HCC models,upregulated expression of INF2 triggers the proliferation and migration of the HCC cell,while knockdown of INF2 could counteract this effect.INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression,thus promoting tumor progression.Conclusion INF2 is highly expressed in HCC and is associated with poor prognosis.High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression,and targeting INF2 may be beneficial for HCC patients with high expression of INF2.
基金Supported by National Key Technology Research and Developmental Program of China,No.2022YFC2704400 and No.2022YFC2704405.
文摘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.
文摘According to the Japanese Ministry of Health,Labour,and Welfare,14.2%of people were aged>75 years in Japan in 2018,and this number continues to rise.With population aging,the incidence of congestive heart failure(CHF)is also increasing.[1–3]Reports have shown that the presence of cognitive impairment(CI)in patients with CHF is associated with poor prognosis,[4–6]and the degree of CI is related to CHF severity.
文摘Introduction: Adolescent childbirth is a public health and social problem worldwide. It is associated with both maternal and perinatal morbidity and mortality. The general objective of our study is to determine the prevalence and profile of pregnant women, and to assess the maternal and perinatal prognosis of adolescent childbirth in Kisangani. Methods: This was a prospective, multicenter, case-control observational study conducted over a seven-month period, from February 1 to August 31, 2024, in primiparous adolescent gestational carriers (cases) and primiparous gestational carriers aged 20 to 34 years (controls) who delivered in five health facilities in the city of Kisangani, Democratic Republic of Congo. Results: The prevalence of teenage childbirth was 13.8%. Adolescents were more likely than controls to be in secondary education and to be unemployed. Compared with controls, pregnant adolescents were more likely to have poor ANC attendance. There was a statistical difference between the two groups in relation to pelvic anomaly, rupture of membranes on admission, hypertensive disorders, vicious presentation, caesarean section, episiotomy, postpartum anaemia and puerperal psychosis. In fact, these morbidities were more common in adolescent girls than in controls. Compared with controls, neonatal depression, prematurity, low birth weight and perinatal death were more prevalent in the newborns of teenage mothers. Conclusion: The prevalence of teenage childbirth is high in Kisangani;there is an association between unmarried status, lack of employment, low socio-economic status, poor ANC follow-up and teenage childbirth in Kisangani. The latter is also associated with high maternal and perinatal morbidity and mortality.
文摘Introduction: The association of sickle cell disease and pregnancy is a risky situation for the mother as well as the fetus and even the neonate. The objective of this work was to study the maternal and perinatal prognosis of pregnancies in women with sickle cell disease at CHUD-Borgou/Alibori from 2019 to 2023. Patients and Methods: This was a case-control study with a retrospective collection of data from January 1, 2019 to June 30, 2023. It covered sickle cell and non-sickle cell women and their neonates who having given birth at the maternity ward of CHUD-Borgou/Alibori. Results: The frequency of pregnant women with sickle cell disease was 1.36% (153/11212). The average age of the pregnant women with sickle cell disease was 26.77 years ± 5.03. Vaso-occlusive crisis (VOC) was the main complication observed in pregnant women with sickle cell disease during pregnancy (26%). Regarding the complications common to the 2 groups of pregnant women, urinary tract infections (18.1%), severe anemia (22.8%), and severe malaria (26.8%) were more reported in sickle cell patients with a statistically significant difference (p-value = 0.000). Delivery was premature in 61.9% of pregnant women with sickle cell disease compared to 18.5% in pregnant women without sickle cell disease, with a significant difference (p-value = 0.000). The main route of delivery among patients with sickle cell disease was cesarean section (94.4%), while it was vaginal delivery (50.4%) among non-sickle cell pregnant women. VOC (4.8%), severe anemia (39.7%), and acute pulmonary edema (2.4%) were the main complications reported among sickle cell pregnant women in the immediate postpartum period with a significant difference (p-value = 0.000). Three cases of maternal death (2.4%) were recorded in pregnant women with sickle cell disease. The neonatal pathologies identified in the neonates of pregnant women with and without sickle cell disease were mainly neonatal bacterial infection (20.0% vs. 17.2%), hypotrophy (17.0% vs. 5.7%), prematurity (14.8% vs. 7.3%) with a significant difference (p-value = 0.000). The perinatal mortality rate was 57.14‰ in sickle cell women compared to 30‰ with a significant difference (p-value = 0.000). Conclusion: Pregnancy in women with sickle cell disease carries a high risk of maternal and perinatal morbidity and mortality. Information, awareness raising among populations and the adaptation of prenatal care are essential.
基金support through Manipal University Jaipur for the Enhanced Seed Grant under the Endowment Fund(Grant No.E3/2023-24/QE-04-05).
文摘Dear Editor,Lung cancer is a major global health concern,with 2.2 million patients diagnosed in 2020.Non-small cell lung cancer(NSCLC)accounts for 80%of these cases,primarily comprising two subtypes:lung adenocarcinoma(LUAD)and squamous cell carcinoma(LUSC)[1].Researchers use immunohisto-chemistry,next-generation sequencing,and single-cell RNA sequencing to study genetic alterations,tumor heterogeneity,and tumor microenvironments,aiming to identify potential therapeutic options for specific NSCLC subtypes[2].
基金supported by grants from the Dongguan Science and Technology of Social Development Program(No.20231800940192)the Talent Development Foundation of the First Dongguan Affiliated Hospital of Guangdong Medical University(No.PU2023002).
文摘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.
基金supported by Young Talents Cultivation Program of Xianning City,the Natural Science Foundation of Hubei Province,China(No.2024AFB502)Ph.D.Start-up Funding(No.BK202413)Medical Fund(No.2023YKY04)of Hubei University of Science and Technology.
文摘Background:Kidney renal clear cell carcinoma(KIRC),a prevalent urological malignancy,represents about 3%of all adult malignancies.KIRC,accounting for~75%of renal malignancies,has poor prognosis in metastatic stages.Identifying robust prognostic markers remains urgent.Block of proliferation 1(BOP1),a WD40-repeat protein,is implicated in cancer pathogenesis,but its role in KIRC is unclear.This study aimed to characterize BOP1 expression in KIRC and evaluate its prognostic value.Methods:BOP1 transcriptional levels were assessed through TCGA-KIRC RNA sequencing datasets.ROC curve construction was implemented via R statistical packages for diagnostic evaluation.Patient survival outcomes were visualized through Kaplan-Meier plotting with log-rank testing.Multivariate logistic regression models quantified associations between BOP1 expression and clinicopathological parameters.TIMER algorithm analyzed immune microenvironment composition.Genomic alterations and epigenetic modifications were investigated using cBioPortal and MethSurv platforms respectively.BOP1 protein levels in 786-O clear cell renal cell carcinoma(ccRCC)versus HK-2(normal renal)cell lines were validated by immunoblotting.Results:Evaluation of the TCGA database demonstrated that BOP1 mRNA abundance was higher in tumor specimens than in corresponding adjacent tissues.Patients with KIRC who had high BOP1 expression had differential overall survival(OS),disease-specific survival(DSS),and disease-free interval(DFI).BOP1 expression accurately recognised tumour tissues versus normal tissues(AUC=0.858),and the area under the ROCs for survival at 1,3,and 5 years were all greater than 0.6.The BOP1 gene variant rate was<1%.Out of the 15 DNA methylation CpG sites examined,7 exhibited prognostic significance in KIRC.BOP1 displayed a distinct relationship with immune cell infiltration in KIRC.The 786-O experimental group exhibited substantially higher BOP1 expression,as confirmed by Western blot detection.Conclusion:This study indicates that heightened BOP1 expression is linked to an adverse prognosis in KIRC,establishing it as an independent risk factor for this disease.These findings establish BOP1 as a novel and independent prognostic biomarker for KIRC,offering potential clinical utility for risk stratification and personalized therapeutic strategies.
基金supported by the National Natural Science Foundation of China(No.81602104).
文摘Objective To investigate the combined effects of thymidine phosphorylase(TYMP)and sine oculis homeobox homologue 1(Six1)on the tumor microenvironment and their role in promoting metastasis in gastric cancer(GC).Methods A total of 674 GC patients who underwent surgical resection were enrolled.Correlations between TYMP/Six1 expression and the clinicopathological characteristics and overall survival of patients were analysed.The expression of TYMP,Six1 and vascular endothelial growth factor C(VEGFc)was quantified via immunohistochemistry and quantitative real-time polymerase chain reaction.Cell transfection,wound-healing assays and bioinformatics analyses were used to explore the potential underlying mechanisms involved.Results Compared with the other groups,the Six1+/TYMP+patients exhibited poor differentiation,advanced tumor stage,a higher rate of lymphatic vessel invasion and shorter survival.Additionally,the protein expression of TYMP and Six1 was positively correlated with the VEGFc level.A significant increase in VEGFc expression was observed in cells transfected with TYMP,Six1,and TYMP/Six1 vectors.The results of the wound-healing assay indicated that the synergistic effect of TYMP and Six1 enhanced the migratory ability of GC cells.Furthermore,bioinformatics analysis revealed that TYMP and Six1 were positively correlated with immunosuppressive immune cell subsets and elevated the expression of inhibitory immune checkpoints in GC.Conclusions The combination of TYMP and Six1 is a good predictive and prognostic biomarker for GC.This combination enhances the expression of VEGFc,facilitates the invasion of GC cells,and may be linked to inhibitory immune cells and the tumor immune microenvironment.
基金Supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region,No.2022D01C297.
文摘BACKGROUND Colorectal cancer(CRC)is a common malignancy that has become a global burden.The prognostic prediction of CRC patients on the basis of inflammatory biomarkers and nutritional biomarkers has shown some potential but has not been fully explored.AIM To develop and validate a prognostic model for CRC based on inflammation and nutrition-related biomarkers and to evaluate its predictive value for patient outcomes.METHODS Patients were randomized at a 3:2 ratio into a training cohort(n=282)or a validation cohort(n=188).To identify the optimal prognostic factors for constructing the risk score(RS),LASSO Cox regression analysis was conducted.The association between the RS and overall survival(OS)was evaluated using receiver operating characteristic(ROC)curves and Kaplan-Meier(K-M)survival analysis.Independent risk factors were screened by multivariate Cox regression analysis.Nomograms were constructed and validated on the basis of these factors.RESULTS In the training cohort,univariate analysis of all the inflammatory and nutritional biomarkers demonstrated some predictive value.A LASSO-Cox analysis included four biomarkers and constructed an RS.Through ROC analysis,the area under the prognostic curve was 0.795.K-M survival curve analyses revealed that the five-year OS was significantly greater in the Low-RS group than in the High-RS group(P<0.001).Multivariate analysis demonstrated that the degree of differentiation(P=0.001),degree of nerve invasion(P=0.022),and RS(P<0.001)were independent risk factors.We constructed a nomogram to predict the OS of CRC patients and validated it in a separate cohort.The calibration curve showed high accuracy.Additionally,decision curve analysis for 1-year,3-year,and 5-year survival probabilities indicated significant clinical utility in predicting survival outcomes.CONCLUSION This study developed a nomogram based on the RS to predict the OS of CRC patients.This nomogram can guide treatment decisions and enable the formulation of personalized follow-up strategies on the basis of predicted recurrence risk,aiming to improve long-term prognosis.
文摘Objective To develop and validate a preoperative clinical-radiomics model for predicting overall survival(OS)and disease-free survival(DFS)in patients with extrahepatic cholangiocarcinoma(eCCA)undergoing radical resection.Methods In this retrospective study,consecutive patients with pathologically-confirmed eCCA who underwent radical resection at our institution from 2015 to 2022 were included.The patients were divided into a training cohort and a validation cohort according to the chronological order of their CT examinations.Least absolute shrinkage and selection operator(LASSO)-Cox regression was employed to select predictive radiomic features and clinical variables.The selected features and variables were incorporated into a Cox regression model.Model performance for 1-year OS and DFS prediction was assessed using calibration curves,area under receiver operating characteristic curve(AUC),and concordance index(C-index).Results This study included 123 patients(mean age 64.0±8.4 years,85 males/38 females),with 86 in the training cohort and 37 in the validation cohort.The OS-predicting model included four clinical variables and four radiomic features.It achieved a training cohort AUC of 0.858(C-index=0.800)and a validation cohort AUC of 0.649(C-index=0.605).The DFS-predicting model included four clinical variables and four other radiomic features.It achieved a training cohort AUC of 0.830(C-index=0.760)and a validation cohort AUC of 0.717(C-index=0.616).Conclusion The preoperative clinical-radiomics models show promise as a tool for predicting 1-year OS and DFS in eCCA patients after radical surgery.
基金Supported by National Natural Science Foundation of China,No.81770379 and 81470521.
文摘Hypertrophic cardiomyopathy(HCM)is an autosomal dominant inherited cardiomyopathy characterized by left ventricular hypertrophy.It is one of the chief causes of sudden cardiac death in younger people and athletes.Molecular-genetic studies have confirmed that the vast majority of HCM is caused by mutations in genes encoding sarcomere proteins.HCM has a relatively wide phenotypic heterogeneity,varying from asymptomatic to sudden cardiac death,because of the many different mutations and pathogenic genes underlying it.Many studies have explored the clinical symptoms and prognosis of HCM,emphasizing the importance of genotype in evaluating patient prognosis and guiding the clinical management of HCM.To elaborate the main pathogenic genes and phenotypic prognosis in HCM to promote a better understanding of this genetic disease.Retrospective analysis of literature to evaluate the association between underlying gene mutations and clinical phenotypes in HCM patients.As sequencing technology advances,the pathogenic gene mutation spectrum and phenotypic characteristics of HCM are gradually becoming clearer.HCM is a widespread inherited disease with a highly variable clinical phenotype.The precise mechanisms linking known pathogenic gene mutations and the clinical course of this heterogeneous condition remain elusive.
文摘Hepatocellular carcinoma(HCC)is a prevalent and aggressive liver cancer that poses significant challenges in diagnosis and prognosis.Recent advancements in radiomics and machine learning(ML)offer promising solutions to enhance the accuracy of HCC diagnosis,treatment response prediction,and survival prognosis.Radiomics,which extracts quantitative features from medical images,captures the complex tumor heterogeneity that is often undetectable with traditional imaging methods.When combined with ML algorithms,these features can be used to differentiate between various stages of HCC,predict treatment outcomes,and assess long-term survival.This review explores key radiomic features,including texture,shape,and intensity,and their integration with ML techniques like binary classification models,XGBoost,LightGBM,and deep learning architectures.We also discuss the challenges faced in model interpretation,data heterogeneity,and the integration of multi-modal data.Despite the promising potential of these technologies,the clinical adoption of radiomics and ML models in HCC management will require overcoming these obstacles through standardization and improved interpretability.
文摘We read with great interest the study by Huang et al.Cholangiocarcinoma(CC)is the second most common type of primary liver tumor worldwide.Although surgical resection remains the primary treatment for this disease,almost 50%of patients experience relapse within 2 years after surgery,which negatively affects their prognosis.Key predictors can be used to identify several factors(e.g.,tumor size,tumor location,tumor stage,nerve invasion,the presence of intravascular emboli)and their correlations with long-term survival and the risk of postoperative morbidity.In recent years,artificial intelligence(AI)has become a new tool for prognostic assessment through the integration of multiple clinical,surgical,and imaging parameters.However,a crucial question has arisen:Are we ready to trust AI with respect to clinical decisions?The study by Huang et al demonstrated that AI can predict preoperative textbook outcomes in patients with CC and highlighted the precision of machine learning algorithms using useful prognostic factors.This letter to the editor aimed to explore the challenges and potential impact of AI and machine learning in the prognostic assessment of patients with CC.
