Cox Regression Analysis Research Articles

Prevalence and outcomes of germline pathogenic variants of homologous recombination repair genes in ovarian cancer.

Germline pathogenic variants (PVs) are pivotal in gynecological oncology. We focused on the prevalence, clinicopathological features, and survival impact of homologous recombination repair (HRR) PVs in patients with epithelial ovarian cancer (EOC). This was a multicenter retrospective cohort study, and 1248 patients with EOC were registered. Eligible patients (n = 1112) underwent germline DNA analysis for 26 cancer predisposition genes, including nine HRR-related genes, such as BRCA1/2, BRIP1, PALB2, RAD51C/D, and ATM. The associations between clinicopathological factors and HRR-related PVs were examined. Kaplan-Meier and Cox regression analyses were conducted. Among 1091 analyzed patients, 153 (14.0%) carried PVs and 140 (12.8%) were HRR-related. HRR-PV-positive status significantly correlated with serous carcinoma (22.9% vs. 4.8%, P < 0.0001) and advanced disease (18.5% vs. 5.9%, P < 0.0001). The HRR-PV-positive group exhibited higher prevalence of personal breast (12.9%) and familial breast/ovarian (29.2%) cancer history. HRR status independently improved overall survival in stage III/IV disease (P = 0.04) but not progression-free survival. HRR-related germline PVs exhibit distinct clinicopathological features with survival implications. Variants were significantly associated with serous carcinoma and advanced disease, underscoring the importance of genetic testing to develop individualized EOC treatment strategies. Considering the study period (2000-2019), the limited use of bevacizumab and poly (ADP-ribose) polymerase inhibitors as maintenance therapy should be recognized.

Effect of pulmonary rehabilitation on all-cause mortality in patients with chronic respiratory disease: a retrospective cohort study in an Australian teaching hospital

Abstract Background Pulmonary rehabilitation (PR) is widely recommended for short-term benefits in chronic respiratory diseases, yet long-term outcomes remain uncertain. This retrospective cohort study addresses this gap, comparing 20-year mortality rates between PR participants and matched controls, and hypothesizing that the short-term benefits of PR contribute to improved long-term survival. Methods The 20-year mortality of stable chronic respiratory patients who participated in an outpatient PR program was compared with a matched control group based on the type of lung disease. Demographic and clinical variables, and the dates of deaths, were extracted and compared between two groups with two sample t-test and chi-square tests. Kaplan-Meier plots and Cox regression analyses were employed to evaluate survival differences. Results Between 2000 and 2002, 238 individuals enrolled in a pulmonary rehabilitation (PR) program (58% male, mean age ± SD: 69 ± 8 years, mean FEV1% predicted ± SD: 46 ± 21%). An equal number of people with comparable lung disease were selected as controls (88% COPD, 5% ILD). Controls had lower FEV1% predicted values (mean ± SD: 39 ± 17%, P &lt; 0.001), smoked more (mean ± SD: 48 ± 35 pack-years, P = 0.032), and no differences in age, BMI, sex, and Index of Relative Socio-economic Advantage and Disadvantage (IRSAD). Median (IQR) follow-up time was 68 months (34–123), with 371 (78%) deaths. Univariable (HR = 1.71, p &lt; 0.001) and multivariable (HR = 1.64, p &lt; 0.001) Cox regression found higher mortality risk in controls. Subgroup analysis for COPD replicated these findings (HR = 1.70, P &lt; 0.001). Discussion Despite some methodological limitations, our study suggests that clinically stable patients with chronic respiratory disease who undertake PR may have lower mortality than matched controls. Trial registration Retrospectively registered.

Association of aspirin use with risk of intracerebral hemorrhage in patients without history of stroke or transient ischemic attack in the UK Biobank.

The association between aspirin use and the risk of intracerebral hemorrhage (ICH) among individuals without previous stroke events is inconclusive. We investigated the association between regular aspirin use and ICH risk in middle-aged and older adults without previous stroke or transient ischemic attack (TIA). This prospective population-based study included participants older than 40 years with no history of stroke or TIA from the UK Biobank. The main exposure was regular aspirin use. Cox regression analyses and propensity score matching analyses estimated the hazard ratios (HRs) for aspirin use for incident fatal and non-fatal ICH. We conducted pre-specified subgroup analyses for selecting individuals at high risk of ICH when using aspirin. Multiple sensitivity analyses were performed to test the robustness of our results. A total of 449,325 participants were included into final analyses (median (IQR) age 58 (50-63) years, 54.6% females), of whom 58,045 reported aspirin use. During a median follow-up of 12.75 (IQR: 12.03-13.47) years, 1557 (0.3%) incident ICH cases were identified, of which 399 (25.6%) were fatal. Aspirin was not associated with increased risk of overall (hazard ratio (HR): 1.11, 95% confidence interval (CI): 0.95-1.27, P = 0.188), fatal (HR: 1.03, 95% CI: 0.78-1.36, P = 0.846) and non-fatal (HR: 1.12, 95% CI: 0.95-1.33, P = 0.186) ICH. Propensity score matching analysis showed similar results. Subgroup analysis indicated that aspirin use in individuals older than 65 years or with concurrent anticoagulant use was correlated with increased risk of ICH. In this large cohort study of middle-aged and older adults without stroke or TIA events, there was no significant association between aspirin use and ICH risk in the real-world setting. However, it is possible that aspirin use in those aged over 65 years and concurrent anticoagulant treatment may increase the risk of ICH.

Impact of a New Preoperative Stratification Based on Cardiac Structural Compromise in Patients with Severe Aortic Stenosis Undergoing Valve Replacement Surgery

Introduction and objectives: Aortic valve replacement surgery (SAVR) remains a recommended indication, though its pre-surgical stratification is an ongoing challenge. Despite the widespread use of scores like the STS and EuroSCORE II, they have a number of limitations, while often neglecting structural parameters like left ventricular hypertrophy or left atrium volume. This study aimed to evaluate whether a new adaptation of the Généreux classification in the preoperative risk stratification of severe aortic stenosis (AS) is associated with the primary outcome, and to compare it with the original classification versus the traditional scores in short- and long-term follow-up. Methods: We conducted a retrospective, single-center study involving patients with confirmed severe AS who underwent SAVR. The new stratification categorized patients into three stages. Cox regression analyses were conducted to identify factors associated with mortality, with survival analysis performed using Kaplan–Meier curves. A p-value &lt; 0.05 was considered statistically significant. Results: A total of 508 patients were included. Stage 3 patients had a lower median age (67 years). The median EuroSCORE II and STS scores were 2.75 and 2.62%, respectively (p ≤ 0.001). Over a median follow-up of 81 months, 56 deaths occurred (11%). Kaplan–Meier curve analysis revealed significant differences in all-cause mortality among the three groups (HR 4.073, log-rank p ≤ 0.001). Multivariable analysis identified the three preoperative stages (HR 3.22, [95% CI 1.44–7.20], p = 0.004) and mean transaortic gradient (HR 0.96, [95% CI 0.92–0.99], p = 0.021) as independent variables of mortality. The original Généreux scale AUC was higher (AUC: 0.760, 95% CI: 0.692–0.829) compared to the modified Généreux scale (AUC: 0.758, 95% CI: 0.687–0.829). However, no statistical differences were found between the different scales. Conclusions: Preoperative three-stage classification and low transaortic gradient are factors associated with increased all-cause mortality in patients undergoing SAVR. The proposed staging system performed better in the mortality analysis than EuroSCORE II and STS and was similar to the original classification.

Association between urinary incontinence and mortality risk among US adults: a prospective cohort study

BackgroundUrinary incontinence is frequent in the general population and affects men and women of all ages. UI carries an unsuspected load on the healthcare system. To investigate whether urinary incontinence is associated with all-cause, cardiovascular disease (CVD) and cancer mortality among US adults.MethodsThe analyzed data was collected from the 2007–2016 National Health and Nutrition Examination Survey (NHANES) data. A total of 25,182 US participants with complete information about follow-up information and urinary incontinence (UI) were included in this cohort study. Univariate Cox regression analyses, the UpSet plot, multivariate Cox regression analysis, subgroup analysis of all-cause mortality, and Kaplan-Meier survival curve were employed to support the research objectives.ResultsA total of 25,182 participants had a mean age of 49.8 ± 17.8 years, with 49.3% of them being male and 50.7% of them being female. In the unadjusted model, we found that the risk of all-cause mortality increased by 12% (95% CI 1.03–1.22, P = 0.008), the risk of CVD mortality increased by 21% (95% CI 1.07–1.36, P = 0.002), and the risk of Cancer mortality increased by 8% (95% CI 0.95–1.22, P = 0.243) among individuals with urinary incontinence. After adjusting for multiple variables, we found that the risk of all-cause mortality in patients with urinary incontinence decreased by 1% (95% CI 0.9–1.09), but this decrease was statistically insignificant (P = 0.868), and the risk of Cancer mortality decreased by 3% (95% CI 0.84–1.12, P = 0.686). The association between urinary incontinence and mortality risk were stable in stratified analyses.ConclusionsIn our study, we found that urinary incontinence itself is an independent risk factor for death. The association between urinary incontinence and mortality became less significant after adjusting for covariates, this is a common occurrence in statistical analysis. Future research, with larger sample sizes and more robust study designs, is needed to further elucidate the complex relationship between urinary incontinence and mortality risk.

Survival prediction in diffuse large B-cell lymphoma patients: multimodal PET/CT deep features radiomic model utilizing automated machine learning

PurposeWe sought to develop an effective combined model for predicting the survival of patients with diffuse large B-cell lymphoma (DLBCL) based on the multimodal PET-CT deep features radiomics signature (DFR-signature).Methods369 DLBCL patients from two medical centers were included in this study. Their PET and CT images were fused to construct the multimodal PET-CT images using a deep learning fusion network. Then the deep features were extracted from those fused PET-CT images, and the DFR-signature was constructed through an Automated machine learning (AutoML) model. Combined with clinical indexes from the Cox regression analysis, we constructed a combined model to predict the progression-free survival (PFS) and the overall survival (OS) of patients. In addition, the combined model was evaluated in the concordance index (C-index) and the time-dependent area under the ROC curve (tdAUC).ResultsA total of 1000 deep features were extracted to build a DFR-signature. Besides the DFR-signature, the combined model integrating metabolic and clinical factors performed best in terms of PFS and OS. For PFS, the C-indices are 0.784 and 0.739 in the training cohort and internal validation cohort, respectively. For OS, the C-indices are 0.831 and 0.782 in the training cohort and internal validation cohort.ConclusionsDFR-signature constructed from multimodal images improved the classification accuracy of prognosis for DLBCL patients. Moreover, the constructed DFR-signature combined with NCCN-IPI exhibited excellent potential for risk stratification of DLBCL patients.

Can systemic antibiotics reduce the need for surgical intervention in treating peri-implantitis?

A retrospective cohort design was used to assess the long-term clinical effectiveness of systemic amoxicillin and metronidazole, used adjunctively with non-surgical peri-implantitis treatment (NST) and whether it prevents the need for further surgical interventions. Of the 57 peri-implantitis patients examined, 45 patients were included in this study. The participants were divided into two subgroups in accordance to who had received NST with or without systemic antibiotics. Selection was based on prior participation in a three-month randomised control trial, ensuring comparability of data regarding peri-implantitis severity and treatment history. Data were extracted pre-treatment, 3-months post-treatment and at a long-term follow-up interval of 36 months. The primary outcome was the need for additional surgical intervention and was analysed via Kaplan-Meier analysis and Cox regression. A multitude of secondary clinical outcomes were evaluated using parametric and non-parametric tests, including peri- implant probing depth, bleeding scores and treatment success. Overall, 62.2% of the 45 NST patients did not need surgical peri-implantitis treatment: 73.9% of the subgroup with antibiotics and 50% of the subgroup without antibiotics respectively. However, the difference between the two groups was not statistically significant (log-rank test, p = 0.110). The Cox regression analysis also displayed no significance over the first three years post-treatment (p = 0.115). Additionally, the study found that deeper peri- implant pockets at baseline significantly predicted the need for future surgical treatment (p = 0.031), highlighting the importance of initial disease severity in treatment outcomes. The study concludes that the adjunctive use of systemic amoxicillin and metronidazole with NST may delay but not statistically reduce or prevent a future surgical need. Although a short-term reduction in clinical inflammatory parameters was evident, the long-term effectiveness in altering the progression of peri-implantitis remains limited.

Prognostic modeling of hepatocellular carcinoma based on T-cell proliferation regulators: a bioinformatics approach

BackgroundThe prognostic value and immune significance of T-cell proliferation regulators (TCRs) in hepatocellular carcinoma (HCC) have not been previously reported. This study aimed to develop a new prognostic model based on TCRs in patients with HCC.MethodThis study used The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and International Cancer Genome Consortium-Liver Cancer-Riken, Japan (ICGC-LIRI-JP) datasets along with TCRs. Differentially expressed TCRs (DE-TCRs) were identified by intersecting TCRs and differentially expressed genes between HCC and non-cancerous samples. Prognostic genes were determined using Cox regression analysis and were used to construct a risk model for HCC. Kaplan-Meier survival analysis was performed to assess the difference in survival between high-risk and low-risk groups. Receiver operating characteristic curve was used to assess the validity of risk model, as well as for testing in the ICGC-LIRI-JP dataset. Additionally, independent prognostic factors were identified using multivariate Cox regression analysis and proportional hazards assumption, and they were used to construct a nomogram model. TCGA-LIHC dataset was subjected to tumor microenvironment analysis, drug sensitivity analysis, gene set variation analysis, and immune correlation analysis. The prognostic genes were analyzed using consensus clustering analysis, mutation analysis, copy number variation analysis, gene set enrichment analysis, and molecular prediction analysis.ResultsAmong the 18 DE-TCRs, six genes (DCLRE1B, RAN, HOMER1, ADA, CDK1, and IL1RN) could predict the prognosis of HCC. A risk model that can accurately predict HCC prognosis was established based on these genes. An efficient nomogram model was also developed using clinical traits and risk scores. Immune-related analyses revealed that 39 immune checkpoints exhibited differential expression between the high-risk and low-risk groups. The rate of immunotherapy response was low in patients belonging to the high-risk group. Patients with HCC were further divided into cluster 1 and cluster 2 based on prognostic genes. Mutation analysis revealed that HOMER1 and CDK1 harbored missense mutations. DCLRE1B exhibited an increased copy number, whereas RAN exhibited a decreased copy number. The prognostic genes were significantly enriched in tryptophan metabolism pathways.ConclusionsThis bioinformatics analysis identified six TCR genes associated with HCC prognosis that can serve as diagnostic markers and therapeutic targets for HCC.

Application of a risk score model based on glycosylation-related genes in the prognosis and treatment of patients with low-grade glioma

IntroductionLow-grade gliomas (LGG) represent a heterogeneous and complex group of brain tumors. Despite significant progress in understanding and managing these tumors, there are still many challenges that need to be addressed. Glycosylation, a common post-translational modification of proteins, plays a significant role in tumor transformation. Numerous studies have demonstrated a close relationship between glycosylation modifications and tumor progression. However, the biological function of glycosylation-related genes in LGG remains largely unexplored. Their potential roles within the LGG microenvironment are also not well understood.MethodsWe collected RNA-seq data and scRNA-seq data from patients with LGG from TCGA and GEO databases. The glycosylation pathway activity scores of each cluster and each patient were calculated by irGSEA and GSVA algorithms, and the differential genes between the high and low glycosylation pathway activity score groups were identified. Prognostic risk profiles of glycosylation-related genes were constructed using univariate Cox and LASSO regression analyses and validated in the CGGA database.ResultsAn 8 genes risk score signature including ASPM, CHI3L1, LILRA4, MSN, OCIAD2, PTGER4, SERPING1 and TNFRSF12A was constructed based on the analysis of glycosylation-related genes. Patients with LGG were divided into high risk and low risk groups according to the median risk score. Significant differences in immunological characteristics, TIDE scores, drug sensitivity, and immunotherapy response were observed between these groups. Additionally, survival analysis of clinical medication information in the TCGA cohort indicated that high risk and low risk groups have different sensitivities to drug therapy. The risk score characteristics can thus guide clinical medication decisions for LGG patients.ConclusionOur study established glycosylation-related gene risk score signatures, providing new perspectives and approaches for prognostic prediction and treatment of LGG.

Preoperative multidisciplinary team meeting improves the incidence of positive margins in pathological T2 prostate cancer

PurposePositive surgical margins (PSM) after robot-assisted radical prostatectomy (RARP) for prostate cancer (PCa) can increase the risk of biochemical recurrence and PCa-specific mortality. We aimed to evaluate the impact of multidisciplinary team meetings (MDTM) on reducing the incidence of PSM following RARP.MethodsWe retrospectively collected the clinical data of consecutive patients undergoing RARP at Hiroshima University between February 2017 and October 2023. The MDTM, comprising a radiologist, uropathologist, and urologist, reviewed the preoperative magnetic resonance imaging (MRI) and prostate biopsy results of each patient before RARP and considered the areas requiring attention during RARP. Surgeons were categorized as experienced or non-experienced based on the number of RARP procedures performed.ResultsIn the pT2 population, the PSM rate was significantly lower in cases evaluated using the MDTM than in those not (11.1% vs. 24.0%; p = 0.0067). Cox regression analysis identified that a PSA level > 7 ng/mL (hazard ratio 2.2799) and nerve-sparing procedures (hazard ratio 2.2619) were independent predictors of increased PSM risk while conducting an MDTM (hazard ratio 0.4773) was an independent predictor of reduced PSM risk in the pT2 population. In the pathological T3 population, there was no significant difference in PSM rates between cases evaluated and not evaluated at an MDTM. In cases evaluated at an MDTM, similar PSM rates were observed regardless of surgeon experience (10.4% for non-experienced and 11.9% for experienced surgeons; p = 0.9999).ConclusionsAn MDTM can improve the PSM rate of pT2 PCa following RARP.

The Burden of Glucocorticoids: Patterns of Use, Adverse Health Conditions, and Health Care Use in Two Cohorts With Systemic Lupus Erythematosus.

Glucocorticoids (GCs) can be beneficial from both clinical and patient perspectives, but side effects are well documented. We examined patterns of GC use over 15 years (2006-2021) and occurrence of adverse health conditions (AHCs) and health care use by GC exposure in two longitudinal cohorts with systemic lupus erythematosus (SLE). Data from the Lupus Outcomes Study (LOS; 2003-2015) and FORWARD cohort (2015-2021) were used. AHCs examined were diabetes, osteoporosis, nontraumatic fractures, cataracts, and infections. Health care use measures examined were the number of rheumatology and other provider visits, hospitalizations, and specific diagnostic tests. Kaplan-Meier analyses examined time to occurrence of each AHC. Cox regression analyses estimated the risk of occurrence of AHCs, controlling for covariates by GC use and by GC dose (0, 1-5, 5-7.5, and ≥7.5 mg). GC use was relatively consistent over time. At baseline, individuals who used GCs in the LOS were more likely to report osteoporosis (adjusted odds ratio [aOR] 1.7, 95% confidence interval [CI] 1.2-2.6) and cataracts (aOR 1.6, 95% CI 1.04-2.6); individuals who used GCs in the FORWARD cohort were more likely to report diabetes (aOR 5.1, 95% CI 2.2-12.0), osteoporosis (aOR 4.5, 95% CI 2.6-8.0), and fractures (aOR 6.5, 95% CI 3.8-11.1). Individuals who used high doses of GCs in the LOS had greater incidence of osteoporosis, fracture, and cataracts. In the FORWARD cohort, a significant difference in incidence was noted only for infections. In both cohorts, individuals who used GCs had more rheumatology and other physician visits, and greater risk of hospitalization. Despite recommendations on steroid sparing, a large portion of people with SLE appear to remain on steroids. These analyses provide additional evidence of the potential health and health care burden of GC use, underscoring the need for other effective treatments for individuals with SLE.

Key platelet genes play important roles in predicting the prognosis of sepsis

Sepsis is a life-threatening organ malfunction induced by an imbalanced immunological reaction to infection in the host. Many studies have utilized traditional RNA sequencing (RNA-seq) data to identify important biological targets to predict sepsis prognosis. However, alterations in core cells and functional status cannot be effectively detected in sepsis patients. The goal of this study was to identify key cells through single-cell RNA-seq (scRNA-seq), and combine bulk RNA-seq data and multiple algorithm analysis to construct a stable prognostic model for sepsis. The scRNA-seq and bulk RNA-seq data from sepsis patients were collected from the Gene Expression Omnibus (GEO) database. The R package “Seurat” was used to process the scRNA-seq data. Cell communication was investigated using the R package “CellChat”. The pseudo-time of the cells was calculated using the R package “monocle”. The R package “limma” was used to identify differentially expressed genes (DEGs) between the sepsis group and the control group. Weighted gene correlation network analysis (WGCNA) was used to identify critical modules. Eight kinds of machine learning and 90 algorithm combinations were used to construct the prognostic model for sepsis. Quantitative real-time PCR (qRT‒PCR) was performed to determine the expression of key genes in the cecal ligation and puncture (CLP)-induced sepsis mouse model. The immunological status and related properties of DEGs were then investigated in the high- and low-risk groups delineated by the model. By combining the scRNA-seq data from nine samples, 13 clusters and 9 cell types were identified. CellChat analysis revealed that the number and strength of interactions between platelets and a variety of cells increased. We identified key platelet genes from the scRNA-seq data and combined these genes and the results of differential analysis and WGCNA of the bulk RNA-seq data. After univariate Cox regression analysis, we calculated the Cindex of the model constructed by the combination of 90 algorithms, and we finally determined the “CoxBoost + Lasso” combination. Multivariate Cox regression was used to construct the final prognostic model. The qRT-PCR results revealed significant differences in five key prognostic genes between the CLP and sham groups. The data was classified into high- and low-risk groups based on the model score. The high-risk group had a poorer survival rate and less immune infiltration. We identified the importance of platelets in sepsis patients through scRNA-seq, and established prognostic models with key genes that were identified via scRNA-seq combined with bulk RNA-seq analysis. The results of this model were closely associated with patient survival rates and immunological status and this model is useful for the prognostic management of sepsis.

Electrolyte prognosis scoring system can predict overall survival in patients with osteosarcoma

Osteosarcoma stands as the most prevalent bone tumor, characterized by a heightened tendency for local recurrence and distant metastasis, resulting in a bleak prognosis. Presently, there exists a shortage of novel markers to effectively determine the prognosis of osteosarcoma patients. Recent research indicates that hematological markers partially mirror an individual’s microenvironment, offering potential insights into predicting patient prognosis. However, prior studies predominantly focused on the prognostic significance of singular hematological indices, failing to comprehensively represent the tumor microenvironment of patients. In our investigation, we meticulously gathered data on 22 hematological and electrolyte markers, utilizing LASSO Cox regression analysis to devise an Electrolyte Prognostic Scoring System (EPSS). The EPSS encompasses various indicators, including immunity, inflammation, coagulation, and electrolyte levels. Our findings indicate that the EPSS stands as an independent prognostic factor for overall survival among osteosarcoma patients. It serves as a valuable addition to clinical characteristics, adept at discerning high-risk patients from those deemed clinically low-risk. Furthermore, EPSS-based nomograms demonstrate commendable predictive capabilities.

Physical activity combined with tea consumption could further reduce all-cause and cancer-specific mortality

The study aimed to comprehensively assess the separate and combined effects of physical activity (PA) and tea consumption on all-cause mortality and cancer-specific mortality among 21,350 participants from The National Health and Nutrition Examination Survey (NHANES) between 2009 and 2018. PA and tea consumption were evaluated through self-reported questionnaires and dietary recall interviews at baseline, with mortality data from the National Death Index. Cox regression analyses yielded hazard ratios (HR) and 95% confidence intervals (CI). Results indicated that both tea consumption and PA independently reduced all-cause mortality. In the physically active group, tea consumption further decreased mortality risk, while this effect was not significant in the inactive group. Jointly, the highest tea consumers who exercised the most exhibited the lowest mortality risk compared to non-tea drinkers who exercised the least. Tea consumption alone does not significantly impact cancer-specific mortality; it is only in physically active group that tea consumption significantly lowers the risk of cancer-specific mortality. These findings underscore the potential benefits of regular tea consumption and PA in promoting longevity and reducing premature death risks.

Clinicopathological, immunohistochemical and therapeutic approaches on survival in patients with epithelioid glioblastoma: Institutional experience in the management of 58 patients

Epithelioid glioblastoma (Ep-GBM) is a rare variant of glioblastoma characterized by a high recurrence rate and poor prognosis. Currently, there is no established standard treatment for Ep-GBM. Therefore, we identified 58 Ep-GBM cases to investigate these characteristics and identify the possible prognostic factors of survival. There were 30 male and 28 female patients with a median age of 39 years. Headaches and dizziness were the most common clinical symptom. The tumor is most frequently located in the temporal lobe (36.2%). The positivity rate for BRAF-V600E is 56.9% (33/58), for MGMT is 56.9% (33/58), and for INI-1 is 75% (30/40). Tumor recurrence was observed in 39 patients. The median progression-free survival (PFS) of all patients was 12.7 months, while the median overall survival (OS) was 29.1 months. Additionally, the median survival time after recurrence was 14.3 months. Both univariate and multivariate COX regression analyses revealed that individuals who received more than six cycles of adjuvant oral temozolomide experienced a longer median PFS compared to those who received fewer cycles. Characteristics associated with poorer PFS included tumor dissemination prior to initial surgery. Additionally, both analyses identified tumor dissemination, radiotherapy and adjuvant oral temozolomide as predictors of OS. Notably, for patients with recurrent Ep-GBM, reoperation was shown to significantly increase survival time after recurrence. In conclusion, the standard Stupp regimen is also applicable to patients with Ep-GBM, extending adjuvant oral temozolomide could further improve survival for Ep-GBM patients, reoperation may also prolong survival for recurrent Ep-GBM.

Evaluating the impact of treatment sequencing on outcomes in hepatocellular carcinoma: a comparative analysis of TACE and systemic therapies

This study aimed to evaluate how the timing of transarterial chemoembolization (TACE) relative to systemic therapy (tyrosine-kinase inhibitors [TKIs] and immune checkpoint inhibitors [ICIs]) influences oncological outcomes in patients with hepatocellular carcinoma (HCC). A retrospective analysis was conducted on HCC patients treated with TACE plus TKIs and ICIs from January 2018 to February 2023. We compared objective response rate (ORR), disease control rate (DCR), overall survival (OS), and progression-free survival (PFS) between patients receiving TACE before versus after systemic therapies. Multivariate Cox regression analyses identified potential prognostic factors. Of the 194 patients enrolled, 111 received TACE before systemic therapies, and 83 after. The median age at diagnosis was 52.8 years. There were no significant differences in ORR (40.72% vs. 30.41%, p = 0.989) or DCR (48.45% vs. 35.57%, p = 0.770) between the groups. Likewise, OS (18.73 vs. 18.20 months, p = 0.091) and PFS (11.53 vs. 10.05 months, p = 0.336) were similar regardless of treatment sequence. In the result of Cox analysis, a 20% decrease in AFP from baseline at one month was associated with improved OS (HR = 0.35, 95% CI 0.17–0.70, p = 0.003) and PFS (HR = 0.69, 95% CI 0.49–0.96, p = 0.028). Large tumor size (≥ 10 cm) was a poor prognostic factor for OS (HR = 2.12, 95% CI 1.07–4.21, p = 0.032), and the presence of portal vein tumor thrombus adversely affected PFS (HR = 2.31, 95% CI 1.47–3.62, p < 0.001). The sequencing of TACE and systemic therapies does not significantly impact the prognosis of advanced HCC. A 20% reduction in AFP within one month of treatment commencement emerges as a protective prognostic factor for HCC.Graphical

Differences between women and men in prolonged weaning

BackgroundIn recent years, the importance of sex as a factor influencing medical care has received increasing attention in the field of intensive care medicine. The objective of this study was to examine the influence of sex in prolonged weaning.MethodsA retrospective analysis of patients undergoing prolonged weaning at Thoraxklinik, University Hospital Heidelberg between 12/08 and 12/23 was conducted. Patients with neuromuscular diseases were excluded from the analyses. The risk factors for weaning failure in men and women were identified through stepwise cox-regression analyses.ResultsA total of 785 patients were included, of whom 313 (39.9%) were women. 77.9% of the women and 75.4% of the men were successfully weaned from invasive ventilation. In group comparisons and multivariable analyses, sex was not found to be a risk factor for weaning failure. Cox regression analyses were performed separately for both sexes on the outcome of weaning failure, adjusting for relevant covariates. The results indicated that age ≥ 65 years (HR 2.38, p < 0.001) and the duration of IMV before transfer to the weaning centre (HR 1.01/day, p < 0.001) were independent risk factors in men. In women, however, the duration of IMV before transfer (HR 1.01, p < 0.001), previous non-invasive ventilation (HR 2.9, p 0.005), the presence of critical illness polyneuropathy (HR 1.82; p = 0.040) and delirium (HR 2.50, p = 0.017) were identified as relevant risk factors. In contrast delirium was associated with a favourable weaning outcome in men (HR 0.38, p = 0.020) and nosocomial pneumonia as a reason for prolonged weaning in women (HR 0.43; p = 0.032).ConclusionThe analyses indicate that there are sex-based differences in the risk factors associated with weaning failure. Further studies, ideally prospective, should confirm these findings to assess whether sex is a factor that should be taken into account to improve weaning outcomes.

Prognostic significance of pretreatment PET parameters in inoperable, node-positive NSCLC patients with poor prognostic factors undergoing hypofractionated radiotherapy: a single-institution retrospective study

BackgroundNode-positive non-small cell lung cancers (NSCLCs) present a challenge for treatment decisions, particularly in patients ineligible for concurrent chemoradiotherapy (CRT) due to poor performance status and compromised lung function. We aimed to investigate the prognostic value of pretreatment positron emission tomography (PET) parameters in high-risk patients undergoing hypofractionated radiotherapy.MethodsA retrospective analysis was conducted on 42 consecutive patients with inoperable node-positive NSCLC, who underwent hypofractionated radiotherapy between 2014 and 2021 at a single institution. Clinical, treatment-related, and [18F]FDG PET-based parameters were correlated with progression-free survival (PFS) and overall survival (OS). Median dichotomisation was performed to establish risk groups. Statistical analyses included univariable and multivariable Cox regression and Kaplan-Meier survival analyses.ResultsAfter a median follow-up of 47.1 months (range: 0.5-101.7), the median PFS and OS were 11.5 months (95% CI: 7.4-22.0), and 24.3 months (95% CI: 14.1-31.8). In univariable Cox regression analysis, significant predictors of PFS included receipt of salvage systemic treatment (p=0.007), SUVmax (p=0.032), and tMTV (p=0.038). Similarly, ECOG-PS (p=0.014), Histology (p=0.046), and tMTV (p=0.028) were significant predictors of OS. Multivariable Cox regression analysis (MVA) identified SUVmax as a significant predictor for PFS [HR: 2.29 (95% CI: 1.02-5.15); p=0.044]. For OS, ECOG-PS remained a significant prognosticator [HR: 3.53 (95% CI: 1.49-8.39); p=0.004], and tMTV approached significance [HR: 2.24 (95% CI: 0.95-5.26); p=0.065]. Furthermore, the high tMTV group exhibited a median PFS of 5.3 months [95% CI: 2.8-10.4], while the low tMTV group had a PFS of 15.2 months [95% CI: 10.1-33.5] (p=0.038, log-rank test). Median OS was 33.5 months [95% CI: 18.3-56.8] for tMTV ≤ 36.6 ml vs. 14.1 months [95% CI: 8.1-27.2] for tMTV > 36.6 ml (p=0.028, log-rank test).ConclusionPretreatment PET parameters, especially tMTV, hold promise as prognostic indicators in NSCLC patients undergoing hypofractionated radiotherapy. The study highlights the potential of PET metrics as biomarkers for patient stratification.

T cell exhaustion methylation signature drives differential immune responses in glioblastoma.

Methylation-related signatures play crucial roles in tumorigenesis and progression. However, their roles in the immune response in primary glioblastoma (GBM) remains unclear. We analyzed the differential expression of specific members of T cell exhaustion-related pathways in GBM from the perspective of T cell exhaustion. We further screened for significantly negatively correlated methylation sites as candidate methylation markers for T cell exhaustion. Using consensus clustering, we divided the samples into two categories with significant differences in overall survival (OS). We then performed univariate and multivariate Cox regression analyses to construct the T Cell Exhaustion Methylation (TEXM) signature. Finally, we confirmed that this signature served as an independent prognostic factor, and further characterized it in terms of drug resistance and immunotherapy. We identified 95 significantly differentially expressed T cell exhaustion-related genes and 51 methylation markers associated with T cell exhaustion. The cancer samples were classified according to methylation site markers, thus indicating two subtypes with significant differences in OS: subtype A and subtype B. Tumor scores, stromal scores, tumor purity, and ESTIMATE scores all showed significant differences between subtypes (P < 0.05). Univariate Cox regression analysis identified five methylation sites significantly associated with OS, and multivariate Cox regression analysis was used to construct the TEXM signature model by using these five methylation sites. Significant differences in OS were found between the groups with high and low TEXM signature scores, on the basis of calculation of the TEXM signature scores of tumor samples and using the median score to divide them into high and low score groups. Survival analysis revealed that the high score group had poorer OS and DFS than the low score group in the validation set. Notably, we observed a significant difference in drug sensitivity between the high and low TEXM signature score groups, with the high score group showing higher drug resistance and poorer prognosis. The tumor immune state, as predicted with Tracking Tumor Immunophenotype (TIP), revealed significant differences in antitumor immune scores between the high and low TEXM signature score groups. Finally, we identified 43 significantly differentially regulated metabolism-associated biological processes. The epigenetic methylation-related TEXM signature plays a key role in driving differential immune responses in GBM.

Association between willingness to exercise and incident disability in older adults: a prospective longitudinal cohort study.

To investigate whether the willingness to exercise (WTE) and exercise habits affect the incidence of disability among older adults. This study included 8,354 individuals (72.5 ± 6.2years, 55.9% female). The participants were divided into three categories based on their WTE: unwillingness to exercise, willingness to exercise (but without exercise habits), and exercise habits. The incidence of disability was prospectively determined within 24months of the follow-up. Cox regression analysis was used to examine the relationship between WTE and the incidence of disability. Overall, 600 (7.2%), 4,703 (56.3%), and 3,051 (36.5%) participants were classified as unwillingness to exercise, willingness to exercise, and exercise habits, respectively. Compared with the unwillingness to exercise group, the willingness to exercise group (hazard ratio [HR] 0.71, 95%Confidence Interval [CI] 0.52-0.96) and the exercise habits group (HR 0.65, 95%CI 0.46-0.92) had a lower risk of disability incidence. These results suggest that WTE reduces the risk of disability in older adults. Therefore, the importance of increasing WTE to prevent the occurrence of disabilities is clear. Our results suggest that even though physical activity declines with age, it is important to have the desire to exercise and develop exercise habits.