Meier Survival Analysis Research Articles

Histamine-related genes participate in the establishment of an immunosuppressive microenvironment and impact the immunotherapy response in hepatocellular carcinoma

Chronic inflammation is pivotal in the pathogenesis of hepatocellular carcinoma (HCC). Histamine is a biologically active substance that amplifies the inflammatory and immune response and serves as a neurotransmitter. However, knowledge of histamine’s role in HCC and its effects on immunotherapy remains lacking. We focused on histamine-related genes to investigate their potential role in HCC. The RNA-seq data and clinical information regarding HCC were obtained from The Cancer Genome Atlas (TCGA). After identifying the differentially expressed genes, we constructed a signature using the univariate Cox proportional hazard regression and least absolute shrinkage and selection operator (LASSO) analyses. The signature’s predictive performance was evaluated using a receiver operating characteristic curve (ROC) analysis. Furthermore, drug sensitivity, immunotherapy effects, and enrichment analyses were conducted. Histamine-related gene expression in HCC was confirmed using quantitative real-time polymerase chain reaction (qRT-PCR). A histamine-related gene prognostic signature (HRGPS) was developed in TCGA. Time-dependent ROC and Kaplan–Meier survival analyses demonstrated the signature’s strong predictive power. Importantly, patients in high-risk groups exhibited a higher frequency of TP53 mutations, elevated immune checkpoint-related gene expression, and increased infiltration of immunosuppressive cells—indicating a potentially favorable response to immunotherapy. In addition, drug sensitivity analysis revealed that the signature could effectively predict chemotherapy efficacy and sensitivity. qRT-PCR results validated histamine-related gene overexpression in HCC. Our findings demonstrate that inhibiting histamine-related genes and signaling pathways can impact the therapeutic effect of anti-PD-1/PD-L1. The precise predictive ability of our signature in determining the response to different therapeutic options highlights its potential clinical significance.

Appropriate definition of non-metastatic castration-resistant prostate cancer (nmCRPC) and optimal timing of androgen receptor signaling inhibitor (ARSI)

BackgroundDefined by rising PSA levels under androgen deprivation therapy (ADT) despite no visible metastases on conventional imaging, non-metastatic castration-resistant prostate cancer (nmCRPC) represents a complex clinical challenge. A significant subset of these patients rapidly develops metastatic disease, negatively impacting survival. We examined the difference in prognosis of nmCRPC patients according to the timing of therapeutic interventions with androgen receptor signaling inhibitor (ARSI).MethodsWe examined 102 nmCRPC patients treated with ARSI. We divided patients according to their PSA levels when ARSI was administered: Cohort A (PSA 0.5–2.0 ng/mL), Cohort B (PSA 2.0–4.0 ng/mL), and Cohort C (PSA > 4.0 ng/mL). Utilizing the Kaplan–Meier method for survival analysis, our analytical starting point was the moment when PSA levels exceeded 0.5 ng/mL post-ADT nadir, ensuring a fair comparison and minimizing lead-time bias.ResultsAfter excluding 5 patients whose PSA nadir after ADT > 0.5 ng/mL, patient distribution across Cohort A, Cohort B, and Cohort C was 32, 24, and 41 patients, respectively. Kaplan–Meier survival analysis highlighted a 2-year metastasis-free survival rate of 97% for Cohort A, 87% for Cohort B, and 73% for Cohort C. A marked statistical difference emerged when comparing Cohort A with Cohorts B and C, with a p-value of 0.043.ConclusionThe timely initiation of ARSI is paramount in nmCRPC management. Our findings strongly advocate for consideration of ARSI administration in nmCRPC patients before their PSA levels exceed 2.0 ng/mL. Our results indicated a PSA threshold of 1.0 ng/mL for nmCRPC definition which is more reasonable to administer ARSI without delay.

Associations between transfusion reactions and thromboembolism development in blood-transfused patients: A retrospective cohort study.

Blood transfusion (BT) may be associated with an increased risk of thromboembolism. The associations between transfusion reactions (TRs) during BTs and potential risk factors for the development of thromboembolism in patients underwent blood transfusion have not been analyzed. Therefore, this study aimed to compare risk factors associated with the development of venous thromboembolism (VTE) or pulmonary embolism (PE) between patients underwent blood transfusion with and without TRs. The retrospective study was conducted between April 1, 2017, and March 31, 2020, at a medical center in Taiwan. Blood-transfused patients were grouped into two cohorts as follows: those who experienced TRs and those who did not experience TRs. Both cohorts were subjected to follow-up until March 31, 2021. The endpoints for both groups were the occurrence of VTE or PE or the date of March 31, 2021. To investigate between-cohort risk differences, a Kaplan-Meier survival analysis and multiple Cox proportional hazard model was used. A total of 10,759 patients underwent 59,385 transfusion procedures, with 703 patients in the TR group, and 10,056 patients in the non-TR group. The risk of VTE or PE was twice as high in the TR group than in the non-TR group (adjusted hazard ratio 2.53, 95% confidence interval 1.49-4.29, p = .001). Meanwhile, age, female sex, transfusion frequency increment, and being nondiabetic was associated with an increased risk of developing thromboembolism. TRs are associated with increased long-term thromboembolism risk in patients underwent blood transfusion. It is imperative for clinicians to acknowledge this and maintain rigorous follow-up.

Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma

Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential implications for advancements in cancer treatments. Although emerging evidence highlights the critical regulatory roles of long non-coding RNAs (lncRNAs) in the pathobiology of lung adenocarcinoma (LUAD), research into lncRNAs specifically associated with disulfidptosis in LUAD, termed disulfidptosis-related lncRNAs (DRLs), remains insufficiently explored. Using The Cancer Genome Atlas (TCGA)-LUAD dataset, we implemented ten machine learning techniques, resulting in 101 distinct model configurations. To assess the predictive accuracy of our model, we employed both the concordance index (C-index) and receiver operating characteristic (ROC) curve analyses. For a deeper understanding of the underlying biological pathways, we referred to the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) for functional enrichment analysis. Moreover, we explored differences in the tumor microenvironment between high-risk and low-risk patient cohorts. Additionally, we thoroughly assessed the prognostic value of the DRLs signatures in predicting treatment outcomes. The Kaplan–Meier (KM) survival analysis demonstrated a significant difference in overall survival (OS) between the high-risk and low-risk cohorts (p < 0.001). The prognostic model showed robust performance, with an area under the ROC curve exceeding 0.75 at one year and maintaining a value above 0.72 in the two and three-year follow-ups. Further research identified variations in tumor mutational burden (TMB) and differential responses to immunotherapies and chemotherapies. Our validation, using three GEO datasets (GSE31210, GSE30219, and GSE50081), revealed that the C-index exceeded 0.67 for GSE31210 and GSE30219. Significant differences in disease-free survival (DFS) and OS were observed across all validation cohorts among different risk groups. The prognostic model offers potential as a molecular biomarker for LUAD prognosis.

High mortality associated with inappropriate initial antibiotic therapy in hematological malignancies with Klebsiella pneumoniae bloodstream infections

Bloodstream infections caused by multidrug-resistant organisms such as Klebsiella pneumoniae are a significant challenge in managing hematological malignancies. This study aims to characterize the epidemiology of Klebsiella pneumoniae bloodstream infections specifically in patients with hematological malignancies, delineate the patterns of initial antibiotic therapy, assess the prevalence of resistant strains, identify risk factors for these resistant strains, and evaluate factors influencing patient outcomes. A retrospective analysis was conducted at a single center from January 2017 to December 2020, focusing on 182 patients with hematological malignancies who developed Klebsiella pneumoniae bloodstream infections. We compared the 30-day mortality rates between patients receiving appropriate and inappropriate antibiotic treatments, including the effectiveness of both single-drug and combination therapies. Kaplan–Meier survival analysis and multivariate logistic and Cox regression were used to identify factors influencing mortality risk. The 30-day all-cause mortality rate was 30.2% for all patients. The 30-day all-cause mortality rates were 77.2% and 8.8% in patients who received inappropriate initial treatment and appropriate initial treatment (p < 0.001). Inappropriate initial treatment significantly influenced mortality and was a key predictor of 30-day mortality, along with septic shock and previous intensive care unit (ICU) stays. Patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) bloodstream infections exhibited more severe clinical symptoms compared to the CSKP group. The study demonstrates a significant association between empirical carbapenem administration and the escalating prevalence of CRKP and multidrug-resistant K. pneumoniae (MDR-KP) infections. Furthermore, the study identified inappropriate initial antibiotic therapy, septic shock, and ICU admission as independent risk factors for 30-day mortality.

Validation of a pulmonary embolism risk assessment model in gynecological inpatients

ObjectiveTo compare the predictive efficacy of the PADUA and Caprini models for pulmonary embolism (PE) in gynecological inpatients, analyze the risk factors for PE, and validate whether both models can effectively predict mortality rates.MethodsA total of 355 gynecological inpatients who underwent computed tomography pulmonary angiography (CTPA) were included in the retrospective analysis. The comparative assessment of the predictive capabilities for PE between the PADUA and Caprini was carried out using receiver operating characteristic (ROC) curves. Logistic regression analysis was used to identify risk factors associated with PE. Additionally, Kaplan–Meier survival analysis plots were generated to validate the predictive efficacy for mortality rates.ResultsAmong 355 patients, the PADUA and Caprini demonstrated the area under the curve (AUC) values of 0.757 and 0.756, respectively. There was no statistically significant difference in the AUC between the two models (P = 0.9542). Multivariate logistic analysis revealed immobility (P < 0.001), history of venous thromboembolism (VTE) (P = 0.002), thrombophilia (P < 0.001), hormonal treatment (P = 0.022), and obesity (P = 0.019) as independent risk factors for PE. Kaplan–Meier survival analysis demonstrated the reliable predictive efficacy of both the Caprini (P = 0.00051) and PADUA (P = 0.00031) for mortality. ROC for the three- and six-month follow-ups suggested that the Caprini model exhibited superior predictive efficacy for mortality.ConclusionsThe PADUA model can serve as a simple and effective tool for stratifying high-risk gynecological inpatients before undergoing CTPA. The Caprini model demonstrated superior predictive efficacy for mortality rates.

Predicting prostate adenocarcinoma patients’ survival and immune signature: a novel risk model based on telomere-related genes

Alterations in telomeres constitute some of the earliest occurrences in the tumourigenesis of prostate adenocarcinoma (PRAD) and persist throughout the progression of the tumour. While the activity of telomerase and the length of telomeres have been demonstrated to correlate with the prognosis of PRAD, the prognostic potential of telomere-related genes (TRGs) in this disease remains unexplored. Utilising mRNA expression data from the Cancer Genome Atlas (TCGA), we devised a risk model and a nomogram to predict the survival outcomes of patients with PRAD. Subsequently, our investigations extended to the relationship between the risk model and immune cell infiltration, sensitivity to chemotherapeutic drugs, and specific signalling pathways. The risk model we developed is predicated on seven key TRGs, and immunohistochemistry results revealed significant differential expression of three TRGs in tumours and paracancerous tissues. Based on the risk scores, PRAD patients were stratified into high-risk and low-risk cohorts. The Receiver operating characteristics (ROC) and Kaplan–Meier survival analyses corroborated the exceptional predictive performance of our novel risk model. Multivariate Cox regression analysis indicated that the risk score was an independent risk factor associated with Overall Survival (OS) and was significantly associated with T and N stages of PRAD patients. Notably, the high-risk group exhibited a greater response to chemotherapy and immunosuppression compared to the low-risk group, offering potential guidance for treatment strategies for high-risk patients. In conclusion, our new risk model, based on TRGs, serves as a reliable prognostic indicator for PRAD. The model holds significant value in guiding the selection of immunotherapy and chemotherapy in the clinical management of PRAD patients.

Effect of transcription factor WT1 on triple-negative breast cancer metastasis through PFKFB4-mediated glycolysis.

e13145 Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer with a high probability of metastasis as well as a lack of specific targets and targeted therapeutics. Preliminary study suggested that Wilms' tumor gene 1 (WT1) is highly expressed in breast cancer patients with poor prognosis and may promote TNBC metastasis, but the underlying mechanism remains poorly defined. Methods: WT1 expression was evaluated by immunohistochemistry (IHC) in breast cancer patients. Kaplan–Meier survival analysis was performed to assess the prognostic significance of WT1 expression. WT1 was silenced in MDA-MB-231 and BT549 cells or overexpressed in HCC1806 cells. qRT-PCR and Western blot were used to detect the WT1 expression in tissues and cells. Wound healing assays, transwell assays and 3D spheroid assays were used to examine the migration and invasion abilities in TNBC cells. The lung metastasis model of mice was used to evaluate metastasis of TNBC in vivo. Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) and transcriptome sequencing (RNA-seq) were performed to find PFKFB4, a downstream target gene for WT1. ChIP-PCR and dual-luciferase reporter assays were used to explore the transcriptional regulation of PFKFB4 by WT1. Seahorse XF glycolysis stress assay, glucose uptake assay, and lactate production assay were used to investigate the role of WT1 in regulating glycolysis metabolites. Results: WT1 was highly expressed in TNBC and correlated to poor prognosis in TNBC patients. Functional assays revealed that WT1 promoted TNBC cell metastasis in vitro and in vivo. Our mechanistic investigations demonstrated that WT1 promoted TNBC cells migration and invasion by transcriptionally activating the expression of PFKFB4.This action leaded to increased glycolytic capacity, glucose uptake, and lactate production in cancer cells, therefore promoting metastasis of TNBC. Clinically, the combined expression of WT1 and PFKFB4 provides a reliable predictive biomarker for the prognosis of TNBC patients. Conclusions: Our findings reveal a molecular mechanism of WT1 promoting TNBC metastasis, which provides new targets for the precision treatment of TNBC and new perspectives for the development of targeted metabolic anticancer drugs.

Multi-center study of use of the Exeter stem in Japan: a 10-year follow-up report

PurposeSince the introduction of the Exeter stem for clinical use in Japan in 1996, the number of stems used has continued to rise owing to its favorable results. We investigated the outcomes of patients who had previously undergone total hip arthroplasty with the Exeter stem in Japan with a 10-year + follow-up period.MethodsThis retrospective cohort study used clinical and radiographic data of 682 cases of primary total hip arthroplasty performed using the Exeter stem.ResultsThe mean postoperative follow-up period was 13.3 years. Femoral-side revision was required in 14 hips, with no cases of aseptic stem loosening-associated revision observed. Kaplan–Meier survival analysis predicted 97.3% 15-year survival when revision for any reason was used as the endpoint.ConclusionThe obtained findings suggested the excellent long-term stability of the Exeter stem for primary total hip arthroplasty in Japan.

Curative Approaches for Metaplastic Breast Cancer: A Retrospective Cohort Outcome Review

BackgroundMetaplastic breast cancer (MBC) is a rare and heterogeneous breast cancer subtype, and there are critical gaps in our understanding of its long-term outcomes. This retrospective cohort study aimed to address these gaps by scrutinizing the pathological and clinical aspects of MBC to enhance clinical decision-making and refine patient care strategies. MethodsThis registry-based retrospective cohort study included females aged ≥21 years diagnosed with MBC or matrix-producing carcinoma. The data were obtained from January 2001–August 2020 from the XXXX Registry of XXXX, which included 23,935 patients. Demographic and clinicopathological characteristics, neoadjuvant chemotherapy responses, and survival outcomes were analyzed. Statistical assessments involved univariate and multivariate Cox proportional hazards models and Kaplan–Meier survival analyses. ResultsThis study enrolled 170 patients; 87.1% had non-metastatic disease and 12.9% had metastatic disease. The age of patients at diagnosis ranged from 46 to 65 years (median, 56 years). The cohort's predominant characteristics were advanced clinical stage (77.6%), node negativity (67.6%), and grade 3 disease (74.1%). In patients receiving curative intent treatment, neoadjuvant chemotherapy yielded a pathological complete response of 19.2% and a disease progression rate of 46.2%. Multivariate analysis showed that adjuvant radiation therapy significantly improved overall survival (OS) and disease-free survival (DFS), with hazard ratios (HRs) of 0.29 (95% confidence interval [CI], 0.13 – 0.62; p < 0.005) and 0.23 (95% CI, 0.10–0.50; p < 0.005), respectively. Clinical T3 and T4 stages, and nodal involvement were associated with poor outcomes. Stable disease after neoadjuvant chemotherapy was associated with poor OS and DFS. Conclusion(s)This study sheds light on the complex landscape of MBC and emphasizes the pivotal role of adjuvant radiotherapy in enhancing patient outcomes. Despite advancements, challenges persist that warrant continued research to refine neoadjuvant chemotherapy strategies and delve into the nuanced factors that influence treatment responses.

CILP2 is a potential biomarker for the prediction and therapeutic target of peritoneal metastases in colorectal cancer

Peritoneal metastases (PM) in colorectal cancer (CRC) is associated with a dismal prognosis. Identifying and exploiting new biomarkers, signatures, and molecular targets for personalised interventions in the treatment of PM in CRC is imperative. We conducted transcriptomic profiling using RNA-seq data generated from the primary tissues of 19 CRC patients with PM. Using our dataset established in a previous study, we identified 1422 differentially expressed genes compared to non-metastatic CRC. The profiling demonstrated no differential expression in liver and lung metastatic CRC. We selected 12 genes based on stringent criteria and evaluated their expression patterns in a validation cohort of 32 PM patients and 84 without PM using real-time reverse transcription-polymerase chain reaction. We selected cartilage intermediate layer protein 2 (CILP2) because of high mRNA expression in PM patients in our validation cohort and its association with a poor prognosis in The Cancer Genome Atlas. Kaplan–Meier survival analysis in our validation cohort demonstrated that CRC patients with high CILP2 expression had significantly poor survival outcomes. Knockdown of CILP2 significantly reduced the proliferation, colony-forming ability, invasiveness, and migratory capacity and downregulated the expression of molecules related to epithelial-mesenchymal transition in HCT116 cells. In an in vivo peritoneal dissemination mouse knockdown of CILP2 also inhibited CRC growth. Therefore, CILP2 is a promising biomarker for the prediction and treatment of PM in CRC.

Clinical, histopathological characteristics and malignant transformation of proliferative verrucous leukoplakia with 36 patients: a retrospective longitudinal study

BackgroundProliferative verrucous leukoplakia (PVL), distinguished by its malignant transformation rate of 43.87% to 65.8%, stands as the oral potentially malignant disorder with the highest propensity for malignancy. PVL is marked by distinctive heterogeneity regarding the clinical or histopathological characteristics as well as prognostic factors pertinent to this condition. The purpose of this study is to compile and assess the clinicopathological features, malignant transformation, and associated risk factors in patients diagnosed with PVL.MethodsThis study is a hospital-based retrospective longitudinal study of 36 patients diagnosed with PVL from 2013 to 2023. We conducted complete clinical and histopathological evaluations of the patients.ResultsThe cohort comprised 16 males and 20 females, yielding a male-to-female ratio of 1:1.25. The follow-up period ranged from 8 to 125 months, with an average of 47.50 months. The most common clinical type of lesion was the verrucous form (58.33%), and the gingiva was the most common site (44.44%). Each patient had between 2 to 7 lesions, averaging 3.36 per patient. During the follow-up period, twelve patients (33.3%) developed oral cancer, with an average time to malignant transformation of 35.75 months. Kaplan–Meier survival analysis indicated that patients with complaints of pain, roughness, or a rough sensation, with diabetes, and the presence of cytologic atypia histologically showed a higher risk of malignant transformation (p < 0.05). In this study, the rate of malignant transformation in the treatment group (5/23) was lower than that in the untreated group (7/13), however, no statistically significant difference (p = 0.05).ConclusionThe main complaints of pain, roughness, or foreign body sensation, coupled with cytologic atypia histologically are indicative of an increased risk of malignant transformation in PVL. Further research is needed to elucidate the influence of these clinicopathological parameters on the malignant progression of PVL.

AKR1B10 expression characteristics in hepatocellular carcinoma and its correlation with clinicopathological features and immune microenvironment

Hepatocellular carcinoma (HCC) represents a major global health threat with diverse and complex pathogenesis. Aldo–keto reductase family 1 member B10 (AKR1B10), a tumor-associated enzyme, exhibits abnormal expression in various cancers. However, a comprehensive understanding of AKR1B10's role in HCC is lacking. This study aims to explore the expression characteristics of AKR1B10 in HCC and its correlation with clinicopathological features, survival prognosis, and tumor immune microenvironment, further investigating its role and potential regulatory mechanisms in HCC. This study conducted comprehensive analyses using various bioinformatics tools and databases. Initially, differentially expressed genes related to HCC were identified from the GEO database, and the expression of AKR1B10 in HCC and other cancers was compared using TIMER and GEPIA databases, with validation of its specificity in HCC tissue samples using the HPA database. Furthermore, the relationship of AKR1B10 expression with clinicopathological features (age, gender, tumor size, staging, etc.) of HCC patients was analyzed using the TCGA database's LIHC dataset. The impact of AKR1B10 expression levels on patient prognosis was evaluated using Kaplan–Meier survival analysis and the Cox proportional hazards model. Additionally, the correlation of AKR1B10 expression with tumor biology-related signaling pathways and tumor immune microenvironment was studied using databases like GSEA, Targetscan, and others, identifying microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) that regulate AKR1B10 expression to explore potential regulatory mechanisms. Elevated AKR1B10 expression was significantly associated with gender, primary tumor size, and fibrosis stage in HCC tissues. High AKR1B10 expression indicated poor prognosis and served as an independent predictor for patient outcomes. Detailed mechanism analysis revealed a positive correlation between high AKR1B10 expression, immune cell infiltration, and pro-inflammatory cytokines, suggesting a potential DANCR-miR-216a-5p-AKR1B10 axis regulating the tumor microenvironment and impacting HCC development and prognosis. The heightened expression of AKR1B10 in HCC is not only related to significant clinical-pathological traits but may also influence HCC progression and prognosis by activating key signaling pathways and altering the tumor immune microenvironment. These findings provide new insights into the role of AKR1B10 in HCC pathogenesis and highlight its potential as a biomarker and therapeutic target.

#3007 Association between sarcopenia and clinical outcomes in patients on maintenance hemodialysis

Abstract Background and Aims Sarcopenia is a generalized skeletal muscle disorder characterized by the progressive loss of skeletal muscle mass, strength, and function, resulting in worse quality of life and increased mortality. Chronic kidney disease and hemodialysis (HD) favor the development of sarcopenia; however, factors associated with sarcopenia in HD patients have not been well-studied. This study aimed to determine the prevalence and risk factors for sarcopenia in HD patients and to analyze the relationship between sarcopenia and overall morbidity and mortality. Method We conducted short-term follow-up prospective cohort study among maintenance HD patients. Hand Grip Strength was measured by a resisted hand-held dynamometer to identify muscle strength and Bioimpedance Spectroscopy to calculate appendicular skeletal muscle mass (ASM). Finally, appendicular skeletal muscle index (ASMI) was calculated as ASM (kg) divided by weight squared (m2). Patients were categorized as sarcopenic or non-sarcopenic using Revised European Working Group criteria (EWGSOP2). Low muscle mass was defined as an ASMI value of&amp;lt;7.00 kg/m2 for men and&amp;lt;5.40 kg/m2 for women; low muscle strength was defined as a hand grip strength of&amp;lt;28 kg for men and&amp;lt;18 kg for women. Results Our study enrolled 176 adult HD patients (60% male, 56.1 ± 14.8 years of age). Median follow-up was 15.9 (interquartile range [IQR] 8.6–21) months. Sarcopenia was present in 32.5 % of males and 28% of female patients and associated with older age (55.2 ± 13.4 vs. 64.0 ± 7.3, p&amp;lt;0.001), lower body mass index (25.3 ± 1.3 vs. 22.8 ± 3.1 kg/m2, p&amp;lt;0.05), longer dialysis vintage (9.2 ± 1.1 vs. 6.2 ± 1.9 years, p&amp;lt;0.001) lower Kt/V and lower serum phosphorus and albumin levels (p = 0.037, p = 0.042 and p = 0.048, respectively). In the multivariate analysis, the sarcopenic group had a significantly higher risk for all causes hospitalization than the non-sarcopenic group after adjusting for age and gender (OR 3.92, (95%CI 1.21–12.53, p = 0.031)). Sarcopenia was significantly associated with higher mortality risk (adjusted OR 1.76 (95% CI 1.32 to 2.67)), cardiovascular (adjusted OR 3.31 (95% CI 1.55 to 9.22)) and cerebrovascular events (adjusted OR 2.67 (95% CI 1.52 to 6.03)). Kaplan–Meier survival analysis showed a twelve-month survival rate of 82.1% in sarcopenic patients, which was significantly lower than the non-sarcopenic group (p = 0.034). Finally, both ASM and low muscle strength were independently related to increased mortality risk in dialysis patients (OR 1.86; 95% CI 1.31 to 2.62 and OR 2.31 95% CI 1.49 to 3.93, respectively). Conclusion Our study demonstrated that sarcopenia was highly prevalent among HD patients and was shown to be a significant predictor of poor patients outcomes. Future research should address whether the early diagnosis and treatment of sarcopenia improve outcomes.

Effect of adjuvant radiotherapy on overall survival and breast cancer-specific survival of patients with malignant phyllodes tumor of the breast in different age groups: a retrospective observational study based on SEER

PurposeMalignant phyllodes tumor of the breast (MPTB) is a rare type of breast cancer, with an incidence of less than 1%. The value of adjuvant radiotherapy (RT) for MPTB has been controversial. The aim of the study was to explore the effect of radiotherapy on the long-term survival of female patients with MPTB at different ages.MethodsFemale MPTB patients were selected from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2020. A Kaplan–Meier survival analysis was conducted to investigate the value of RT for the long-term survival of MPTB patients in different age groups. Additionally, univariate and multivariate Cox regression analyses were performed for overall survival (OS) and breast cancer-specific survival (BCSS) of MPTB patients. Furthermore, propensity score matching (PSM) was also performed to balance the differences in baseline characteristics.Results2261 MPTB patients were included in this study, including 455 patients (20.12%) with RT and 1806 patients (79.88%) without RT. These patients were divided into four cohorts based on their ages: 18–45, 46–55, 56–65, and 65–80. Before adjustment, there was a statistically significant difference in long-term survival between RT-treated and non-RT-treated patients in the younger age groups (age group of 18–45 years: OS P = 0.019, BCSS P = 0.016; age group of 46–55 years: OS P < 0.001, BCSS P < 0.001). After PSM, no difference was found in long-term survival of patients in both younger and older groups regardless of whether they received RT (age group of 18–45 years: OS P = 0.473, BCSS P = 0.750; age group of 46–55 years: OS P = 0.380, BCSS P = 0.816, age group of 56–65 years: OS P = 0.484, BCSS P = 0.290; age group of 66–80 years: OS P = 0.997, BCSS P = 0.763). In multivariate COX regression analysis, RT did not affect long-term survival in patients with MPTB.ConclusionThere is no evidence that long-term survival of MPTB patients in specific age groups can benefit from RT.

Development of a Multivariable Risk Prediction Tool to Predict Adverse Outcomes among Children with Type 1 Diabetes: A Pilot Study

Background. Children and adolescents with type 1 diabetes mellitus (T1DM) are frequently hospitalised for severe hypoglycaemia, hyperglycaemia, and diabetic ketoacidosis (DKA). While several risk factors have been recognised, clinically identifying these children at high risk of acute decompensation remains challenging. Objective. To develop a risk prediction model to accurately estimate the risk of acute healthcare utilisation due to severe hypoglycaemia, hyperglycaemia, and DKA in children and adolescents with T1DM. Materials and Methods. Using a retrospective dataset, baseline demographic and clinical data were collected from patients (&lt;18 years) seen at a regional paediatric diabetes clinic from 1 January 2018 to 1 January 2020. The outcome was the number of emergency department presentations or hospital admissions for severe hypoglycaemia, hyperglycaemia, and DKA across the study period. Variables that were significant in univariate analysis were entered into a multivariable model. Receiver operator characteristic (ROC) curves assessed the model’s discrimination and generated cut-offs for risk group stratification (low, medium, and high). Kaplan–Meier survival analysis measured time to acute healthcare utilisation across the risk groups. Results. Our multivariable risk prediction model consisted of five predictors (continuous glucose monitoring device, previous acute healthcare utilisation, missed appointments, and child welfare services involvement and socioeconomic status). The model exhibited good discrimination (area under the ROC = 0.81), accurately stratified children into low-, medium-, and high-risk groups, and demonstrated significant differences between median time to healthcare utilisation. Conclusion. Our model identified patients at an increased risk of acute healthcare utilisation due to severe hypoglycaemia, hyperglycaemia, and DKA.

Influencing Factors and Survival Analysis of Late Readmission after Percutaneous Coronary Intervention in Patients with Acute Myocardial Infarction

Objective: This study aimed to explore the influencing factors analysis of late readmission after patients with acute myocardial infarction received percutaneous coronary intervention (PCI). Methods: A total of 368 patients with acute myocardial infarction who received PCI treatment in West China Hospital, Sichuan University/West China School of Nursing, Sichuan University from January 2018, to January 2021, were selected for the study. Among them, 110 subjects were excluded, and 258 subjects were finally included, of which 124 were readmitted and 134 were not readmitted. The baseline data and clinical characteristics of the patients were collected, and the influencing factors of readmission were analyzed by logistic regression analysis. The readmitted patients were followed up for 12 months. The Kaplan–Meier method was used to analyze the survival of patients with delayed readmitted and calculate the survival rate. Results: Significant differences were found between readmitted patients and non-readmitted patients in terms of age, chronic obstructive pulmonary disease (COPD), history of early coronary heart disease, history of hypertension, history of oral anticoagulant drugs, and left ventricle ejection fraction (LVEF, p &lt; 0.05). No significant differences were observed in gender, body mass index, family history of acute myocardial infarction, history of chronic kidney disease, history of diabetes, history of smoking, history of drinking, and the number of implanted stents and diseased vessels (p &gt; 0.05). Binary logistic regression analysis showed that age, COPD, history of premature coronary heart disease, history of oral anticoagulant drugs, and LVEF were important influencing factors of delayed readmission after PCI (all p &lt; 0.05). Follow-up results showed that 125 patients survived and nine died among the delayed non-readmission patients after PCI. Among the patients with delayed readmission, 95 survived and 29 died. Kaplan–Meier survival analysis showed that the survival time of patients with delayed non-readmission was longer than that of patients with delayed readmission, and the difference was statistically significant (χ2 = 17.696, p &lt; 0.001). Conclusion: Age, COPD, history of oral anticoagulant drugs, and LVEF are important influencing factors of delayed readmission after PCI, and the survival time of patients with delayed non-readmission is longer than that of patients with delayed readmission.

Prognostic significance and immune landscape of a cell cycle progression-related risk model in bladder cancer

BackgroundA greater emphasis has been placed on the part of cell cycle progression (CCP) in cancer in recent years. Nevertheless, the precise connection between CCP-related genes and bladder cancer (BCa) has remained elusive. This study endeavors to establish and validate a reliable risk model incorporating CCP-related factors, aiming to predict both the prognosis and immune landscape of BCa.MethodsClinical information and RNA sequencing data were collected from the GEO and TCGA databases. Univariate and multivariate Cox regression analyses were conducted to construct a risk model associated with CCP. The performance of the model was assessed using ROC and Kaplan–Meier survival analyses. Functional enrichment analysis was employed to investigate potential cellular functions and signaling pathways. The immune landscape was characterized using CIBERSORT algorithms. Integration of the risk model with various clinical variables led to the development of a nomogram.ResultsTo build the risk model, three CCP-related genes (RAD54B, KPNA2, and TPM1) were carefully chosen. ROC and Kaplan–Meier survival analysis confirm that our model has good performance. About immunological infiltration, the high-risk group showed decreased levels of regulatory T cells and dendritic cells coupled with increased levels of activated CD4 + memory T cells, M2 macrophages, and neutrophils. Furthermore, the nomogram showed impressive predictive power for OS at 1, 3, and 5 years.ConclusionThis study provides new insights into the association between the CCP-related risk model and the prognosis of BCa, as well as its impact on the immune landscape.

A Population-Based Long-Term Follow-Up of Soft Tissue Angiosarcomas: Characteristics, Treatment Outcomes, and Prognostic Factors

Angiosarcoma is a rare aggressive and understudied soft tissue sarcoma with pending evidence-based treatment guidelines due to varying study cohorts and inconsistent outcome measures. Surgery with wide resection is currently considered to be the cornerstone in management. In a population-based cohort identified from Danish National Health Registers between 2000 and 2017, this study aimed to define prognostic factors in patients with newly diagnosed soft tissue angiosarcoma. Kaplan–Meier survival analysis demonstrated 5-year overall survival of 28%. Competing risk analysis demonstrated cumulative incidence of local recurrence of 30% and metastasis of 43%. Multivariable Cox models among 154 included patients demonstrated age above 60 years and metastasis to be independently associated with worse overall survival. Cutaneous tumors, surgery, and negative resection margin were independently associated with improved overall survival. Adjuvant oncological treatment did not improve overall survival, risk of metastasis, or recurrence. Negative margin was not associated with lower risk of recurrence and metastasis. We conclude that, despite demonstrated improved survival after surgery with wide resection, overall survival remains poor.

Choline metabolism reprogramming mediates an immunosuppressive microenvironment in non-small cell lung cancer (NSCLC) by promoting tumor-associated macrophage functional polarization and endothelial cell proliferation

IntroductionLung cancer is a prevalent malignancy globally, and immunotherapy has revolutionized its treatment. However, resistance to immunotherapy remains a challenge. Abnormal cholinesterase (ChE) activity and choline metabolism are associated with tumor oncogenesis, progression, and poor prognosis in multiple cancers. Yet, the precise mechanism underlying the relationship between ChE, choline metabolism and tumor immune microenvironment in lung cancer, and the response and resistance of immunotherapy still unclear.MethodsFirstly, 277 advanced non-small cell lung cancer (NSCLC) patients receiving first-line immunotherapy in Sun Yat-sen University Cancer Center were enrolled in the study. Pretreatment and the alteration of ChE after 2 courses of immunotherapy and survival outcomes were collected. Kaplan–Meier survival and cox regression analysis were performed, and nomogram was conducted to identify the prognostic and predicted values. Secondly, choline metabolism-related genes were screened using Cox regression, and a prognostic model was constructed. Functional enrichment analysis and immune microenvironment analysis were also conducted. Lastly, to gain further insights into potential mechanisms, single-cell analysis was performed.ResultsFirstly, baseline high level ChE and the elevation of ChE after immunotherapy were significantly associated with better survival outcomes for advanced NSCLC. Constructed nomogram based on the significant variables from the multivariate Cox analysis performed well in discrimination and calibration. Secondly, 4 choline metabolism-related genes (MTHFD1, PDGFB, PIK3R3, CHKB) were screened and developed a risk signature that was found to be related to a poorer prognosis. Further analysis revealed that the choline metabolism-related genes signature was associated with immunosuppressive tumor microenvironment, immune escape and metabolic reprogramming. scRNA-seq showed that MTHFD1 was specifically distributed in tumor-associated macrophages (TAMs), mediating the differentiation and immunosuppressive functions of macrophages, which may potentially impact endothelial cell proliferation and tumor angiogenesis.ConclusionOur study highlights the discovery of ChE as a prognostic marker in advanced NSCLC, suggesting its potential for identifying patients who may benefit from immunotherapy. Additionally, we developed a prognostic signature based on choline metabolism-related genes, revealing the correlation with the immunosuppressive microenvironment and uncovering the role of MTHFD1 in macrophage differentiation and endothelial cell proliferation, providing insights into the intricate workings of choline metabolism in NSCLC pathogenesis.