Allosteric activation of the metabolic enzyme GPD1 inhibits bladder cancer growth via the lysoPC-PAFR-TRPV2 axis

CPNE7 promotes colorectal tumorigenesis by interacting with NONO to initiate ZFP42 transcription

Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related death globally. Also, there is still a lack of effective therapeutic strategies for CRC patients owing to a poor understanding of its pathogenesis. Here, we analysed differentially expressed genes in CRC and identified CPNE7 as a novel driver of colorectal tumorigenesis. CPNE7 is highly expressed in CRC and negatively correlated with patients' prognosis. Upregulation of CPNE7 promotes proliferation and metastasis of cancer cells in vitro and in vivo, and vice versa. Mechanistically, CPNE7 interacts with NONO to initiate ZFP42 transcription, thus promoting CRC progression. Moreover, ZFP42 knockdown inhibits tumor cell proliferation and migration while promoting apoptosis. Notably, delivery of CPNE7 shRNA or the small molecule gramicidin, which blocks the interaction between CPNE7 and NONO, hinders tumor growth in vivo. In conclusion, our findings demonstrate that the CPNE7-NONO-ZFP42 axis promotes colorectal tumorigenesis and may be a new potential therapeutic target.

Evaluation of glucocorticoid-related genes reveals GPD1 as a therapeutic target and regulator of sphingosine 1-phosphate metabolism in CRPC

Prostate cancer (PCa) is an androgen-dependent disease, with castration-resistant prostate cancer (CRPC) being an advanced stage that no longer responds to androgen deprivation therapy (ADT). Mounting evidence suggests that glucocorticoid receptors (GR) confer resistance to ADT in CRPC patients by bypassing androgen receptor (AR) blockade. GR, as a novel therapeutic target in CRPC, has attracted substantial attention worldwide. This study utilized bioinformatic analysis of publicly available CRPC single-cell data to develop a consensus glucocorticoid-related signature (Glu-sig) that can serve as an independent predictor for relapse-free survival. Our results revealed that the signature demonstrated consistent and robust performance across seven publicly accessible datasets and an internal cohort. Furthermore, our findings demonstrated that glycerol-3-phosphate dehydrogenase 1 (GPD1) in Glu-sig can significantly promote CRPC progression by mediating the cell cycle pathway. Additionally, GPD1 was shown to be regulated by GR, with the GR antagonist mifepristone enhancing the anti-tumorigenic effects of GPD1 in CRPC cells. Mechanistically, targeting GPD1 induced the production of sphingosine 1-phosphate (S1P) and enhanced histone acetylation, thereby inducing the transcription of p21 that involved in cell cycle regulation. In conclusion, Glu-sig could serve as a robust and promising tool to improve the clinical outcomes of PCa patients, and modulating the GR/GPD1 axis that promotes tumor growth may be a promising approach for delaying CRPC progression.

Intraovarian injection of 3D-MSC-EVs-ECM gel significantly improved rat ovarian function after chemotherapy

BACKGROUND

Restoring the function of the ovary is important for chemotherapy-induced ovarian failure (COF) patients. Stem cell and extracellular vesicles (EVs) therapy show promise but need further improvement.

METHODS

Human umbilical cord mesenchymal stem cells (hUC-MSCs) were primarily cultured and further three-dimensional (3D) cultured using an ultra-low attachment surface method. The expression levels of nutritional cytokines and immunomodulatory and stemness-related genes of 3D-cultured hUC-MSCs were analyzed. EVs were isolated by ultracentrifugation and characterized. Ovaries were decellularized with sodium dodecyl sulfate to obtain extracellular matrix (ECM). Lyophilized EVs from three-dimensional (2D) or 3D hUC-MSCs were mixed with ECM to prepare the 2D/3D-MSC-EVs-ECM gels. The therapeutic effect of the MSC-EVs-ECM gel on cyclophosphamide (CTX) -treated rats was analyzed through various tests. RNA sequencing was used to analyze the expression changes of genes before and after treatment.

RESULTS

After culturing in ultra-low attachment dishes, hUC-MSCs aggregated into spheroids and significantly upregulated the expression levels of immunomodulatory and stemness-related genes. The total EVs yield was also upregulated (5.6-fold) after 3D culture. The cell viability of CTX-treated ovarian granulosa cells (OGCs) was significantly rescued by coculture with the 3D-MSC-EVs-ECM gel. Hormones indicative of ovarian function, AMH, E2, and FSH, were recovered in both the CTX + 2D-MSC-EVs-ECM gel group and the CTX + 3D-MSC-EVs-ECM gel group, while the apoptosis-related protein Bax was significantly downregulated. The 3D-MSC-EVs-ECM gel was more effective than the 2D-MSC-EVs-ECM gel. Significantly differentially expressed genes, such as Hbb-b1, Gpd1, and Sirpa, were detected by RNA sequencing. Hbb-b1 was increased in the ovaries of CTX-treated rats, and this increase was attenuated by injecting the 2D/3D-MSC-EVs-ECM gel. Gpd1 was increased after CTX treatment, and this increase was reversed by the 3D-MSC-EVs-ECM gel. Sirpa was decreased in the ovaries of CTX-treated rats, and this decrease was attenuated by injecting the 3D-MSC-EVs-ECM gel.

CONCLUSIONS

Our study demonstrated that the 3D-MSC-EVs-ECM gel is an efficient strategy for the recovery of ovarian function in CTX-induced ovarian failure.

Prediction of response to promising first-line chemotherapy in ovarian cancer patients with residual peritoneal tumors: practical biomarkers and robust multiplex models

BACKGROUND

Platinum/taxane (TC) chemotherapy with debulking surgery stays the mainstay of the treatment in ovarian cancer patients with peritoneal metastasis, and recently its novel modality, intraperitoneal carboplatin with dose-dense paclitaxel (ddTCip), was shown to have greater therapeutic impact. Nevertheless, the response varies among patients and consequent recurrence, or relapse often occurs. Discovery of therapeutic response predictor to ddTCip and/or TC therapy is eagerly awaited to improve the treatment outcome.

METHODS

Using datasets in 76 participants in our ddTCip study and published databases on patients received TC therapy, we first validated a total of 75 previously suggested markers, sought out more active biomarkers through the association analyses of genome-wide transcriptome and genotyping data with progression-free survival (PFS) and adverse events, and then developed multiplex statistical prediction models for PFS and toxicity by mainly using multiple regression analysis and the classification and regression tree (CART) algorithm.

RESULTS

The association analyses revealed that SPINK1 could be a possible biomarker of ddTCip efficacy, while ABCB1 rs1045642 and ERCC1 rs11615 would be a predictor of hematologic toxicity and peripheral neuropathy, respectively. Multiple regression analyses and CART algorithm finally provided a potent efficacy prediction model using 5 gene expression data and robust multiplex toxicity prediction models-CART models using a total of 4 genotype combinations and multiple regression models using 15 polymorphisms on 12 genes.

CONCLUSION

Biomarkers and multiplex models composed here could work well in the response prediction of ddTCip and/or TC therapy, which might contribute to realize optimal selection of the key therapy.

Characterization and validation of fatty acid metabolism-related genes predicting prognosis, immune infiltration, and drug sensitivity in endometrial cancer

Endometrial cancer is considered to be the second most common tumor of the female reproductive system, and patients diagnosed with advanced endometrial cancer have a poor prognosis. The influence of fatty acid metabolism in the prognosis of patients with endometrial cancer remains unclear. We constructed a prognostic risk model using transcriptome sequencing data of endometrial cancer and clinical information of patients from The Cancer Genome Atlas (TCGA) database via least absolute shrinkage and selection operator regression analysis. The tumor immune microenvironment was analyzed using the CIBERSORT algorithm, followed by functional analysis and immunotherapy efficacy prediction by gene set variation analysis. The role of model genes in regulating endometrial cancer in vitro was verified by CCK-8, colony formation, wound healing, and transabdominal invasion assays, and verified in vivo by subcutaneous tumor transplantation in nude mice. A prognostic model containing 14 genes was constructed and validated in 3 cohorts and clinical samples. The results showed differences in the infiltration of immune cells between the high-risk and low-risk groups, and that the high-risk group may respond better to immunotherapy. Experiments in vitro confirmed that knockdown of epoxide hydrolase 2 (EPHX2) and acyl-CoA oxidase like (ACOXL) had an inhibitory effect on EC cells, as did overexpression of hematopoietic prostaglandin D synthase (HPGDS). The same results were obtained in experiments in vivo. Prognostic models related to fatty acid metabolism can be used for the risk assessment of endometrial cancer patients. Experiments in vitro and in vivo confirmed that the key genes HPGDS, EPHX2, and ACOXL in the prognostic model may affect the development of endometrial cancer.

Comprehensive Analysis of a Six-Gene Signature Predicting Survival and Immune Infiltration of Liposarcoma Patients and Deciphering Its Therapeutic Significance

BACKGROUND

As a common soft tissue sarcoma, liposarcoma (LPS) is a heterogeneous malignant tumor derived from adipose tissue. Due to the high risk of metastasis and recurrence, the prognosis of LPS remains unfavorable. To improve clinical treatment, a robust risk prediction model is essential to evaluate the prognosis of LPS patients.

METHODS

By comprehensive analysis of data derived from GEO datasets, differentially expressed genes (DEGs) were obtained. Univariate and Lasso Cox regressions were subsequently employed to reveal distant recurrence-free survival (DRFS)-associated DEGs and develop a prognostic gene signature, which was assessed by Kaplan-Meier survival and ROC curve. GSEA and immune infiltration analyses were conducted to illuminate molecular mechanisms and immune correlations of this model in LPS progression. Furthermore, a correlation analysis was involved to decipher the therapeutic significance of this model for LPS.

RESULTS

A six-gene signature was developed to predict DRFS of LPS patients and showed higher precision performance in more aggressive LPS subtypes. Then, a nomogram was further established for clinical application based on this risk model. Via GSEA, the high-risk group was significantly enriched in cell cycle-related pathways. In the LPS microenvironment, neutrophils, memory B cells and resting mast cells exhibited significant differences in cell abundance between high-risk and low-risk patients. Moreover, this model was significantly correlated with therapeutic targets.

CONCLUSION

A prognostic six-gene signature was developed and significantly associated with cell cycle pathways and therapeutic target genes, which could provide new insights into risk assessment of LPS progression and therapeutic strategies for LPS patients to improve their prognosis.

Identification of potential modulators for human GPD1 by docking-based virtual screening, molecular dynamics simulations, binding free energy calculations, and DeLA-drug analysis

Cytosolic Glycerol-3-phosphate dehydrogenase 1 (GPD1, EC 1.1.1.8) plays a pivotal role in regulating the Embden-Meyerhof glucose glycolysis pathway (E-M pathway), as well as in conditions such as Huntington's disease, cancer, and its potential role as a specific marker for Dormant Glioma Stem Cells. In this study, we conducted virtual screening using the ZINC database ( http://zinc.docking.org/ ) and the GPD1 structure to identify potential GPD1 modulators. The investigation involved screening active candidate ligands using ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) parameters, combined with molecular docking, pose analysis, and interaction analysis based on Lipinski and Veber criteria. Subsequently, the top 10 ligands were subjected to 200 ns all-atom molecular dynamics (M.D.) simulations, and binding free energies were calculated. The findings revealed that specific residues, namely TRP14, PRO94, LYS120, ASN151, THR264, ASP260, and GLN298, played a crucial role in ensuring system stability. Furthermore, through a comprehensive analysis involving molecular docking, molecular M.D., and DeLA-Drug, we identified 10 promising small molecules. These molecules represent potential lead compounds for developing effective therapeutics targeting GPD1-associated diseases, thereby contributing to a deeper understanding of GPD1-associated mechanisms. This study's significance lies in identifying key residues associated with GPD1 and discovering valuable small molecules, providing a foundation for further research and development.

Metabolic heterogeneity in tumor microenvironment - A novel landmark for immunotherapy

The surrounding non-cancer cells and tumor cells that make up the tumor microenvironment (TME) have various metabolic rhythms. TME metabolic heterogeneity is influenced by the intricate network of metabolic control within and between cells. DNA, protein, transport, and microbial levels are important regulators of TME metabolic homeostasis. The effectiveness of immunotherapy is also closely correlated with alterations in TME metabolism. The response of a tumor patient to immunotherapy is influenced by a variety of variables, including intracellular metabolic reprogramming, metabolic interaction between cells, ecological changes within and between tumors, and general dietary preferences. Although immunotherapy and targeted therapy have made great strides, their use in the accurate identification and treatment of tumors still has several limitations. The function of TME metabolic heterogeneity in tumor immunotherapy is summarized in this article. It focuses on how metabolic heterogeneity develops and is regulated as a tumor progresses, the precise molecular mechanisms and potential clinical significance of imbalances in intracellular metabolic homeostasis and intercellular metabolic coupling and interaction, as well as the benefits and drawbacks of targeted metabolism used in conjunction with immunotherapy. This offers insightful knowledge and important implications for individualized tumor patient diagnosis and treatment plans in the future.

Glycerol 3-phosphate dehydrogenases (1 and 2) in cancer and other diseases

The glycerol 3-phosphate shuttle (GPS) is composed of two different enzymes: cytosolic NAD+-linked glycerol 3-phosphate dehydrogenase 1 (GPD1) and mitochondrial FAD-linked glycerol 3-phosphate dehydrogenase 2 (GPD2). These two enzymes work together to act as an NADH shuttle for mitochondrial bioenergetics and function as an important bridge between glucose and lipid metabolism. Since these genes were discovered in the 1960s, their abnormal expression has been described in various metabolic diseases and tumors. Nevertheless, it took a long time until scientists could investigate the causal relationship of these enzymes in those pathophysiological conditions. To date, numerous studies have explored the involvement and mechanisms of GPD1 and GPD2 in cancer and other diseases, encompassing reports of controversial and non-conventional mechanisms. In this review, we summarize and update current knowledge regarding the functions and effects of GPS to provide an overview of how the enzymes influence disease conditions. The potential and challenges of developing therapeutic strategies targeting these enzymes are also discussed.

Discovering single cannabidiol or synergistic antitumor effects of cannabidiol and cytokine-induced killer cells on non-small cell lung cancer cells

Introduction

A multitude of findings from cell cultures and animal studies are available to support the anti-cancer properties of cannabidiol (CBD). Since CBD acts on multiple molecular targets, its clinical adaptation, especially in combination with cancer immunotherapy regimen remains a serious concern.

Methods

Considering this, we extensively studied the effect of CBD on the cytokine-induced killer (CIK) cell immunotherapy approach using multiple non-small cell lung cancer (NSCLC) cells harboring diverse genotypes.

Results

Our analysis showed that, a) The Transient Receptor Potential Cation Channel Subfamily V Member 2 (TRPV2) channel was intracellularly expressed both in NSCLC cells and CIK cells. b) A synergistic effect of CIK combined with CBD, resulted in a significant increase in tumor lysis and Interferon gamma (IFN-g) production. c) CBD had a preference to elevate the CD25+CD69+ population and the CD62L_CD45RA+terminal effector memory (EMRA) population in NKT-CIK cells, suggesting early-stage activation and effector memory differentiation in CD3+CD56+ CIK cells. Of interest, we observed that CBD enhanced the calcium influx, which was mediated by the TRPV2 channel and elevated phosphor-Extracellular signal-Regulated Kinase (p-ERK) expression directly in CIK cells, whereas ERK selective inhibitor FR180204 inhibited the increasing cytotoxic CIK ability induced by CBD. Further examinations revealed that CBD induced DNA double-strand breaks via upregulation of histone H2AX phosphorylation in NSCLC cells and the migration and invasion ability of NSCLC cells suppressed by CBD were rescued using the TRPV2 antagonist (Tranilast) in the absence of CIK cells. We further investigated the epigenetic effects of this synergy and found that adding CBD to CIK cells decreased the Long Interspersed Nuclear Element-1 (LINE-1) mRNA expression and the global DNA methylation level in NSCLC cells carrying KRAS mutation. We further investigated the epigenetic effects of this synergy and found that adding CBD to CIK cells decreased the Long Interspersed Nuclear Element-1 (LINE-1) mRNA expression and the global DNA methylation level in NSCLC cells carrying KRAS mutation.

Conclusions

Taken together, CBD holds a great potential for treating NSCLC with CIK cell immunotherapy. In addition, we utilized NSCLC with different driver mutations to investigate the efficacy of CBD. Our findings might provide evidence for CBD-personized treatment with NSCLC patients.

Epigenetic repression of Cend1 by lysine-specific demethylase 1 is essential for murine heart development

Epigenetic regulation of heart development remains incompletely understood. Here we show that LSD1, a histone demethylase, plays a crucial role in regulating cardiomyocyte proliferation during heart development. Cardiomyocyte-specific deletion of Lsd1 in mice inhibited cardiomyocyte proliferation, causing severe growth defect of embryonic and neonatal heart. In vivo RNA-seq and in vitro functional studies identified Cend1 as a target suppressed by LSD1. Lsd1 loss resulted in elevated Cend1 transcription associated with increased active histone mark H3K4me2 at Cend1 promoter. Cend1 knockdown relieved the cell-cycle arrest and proliferation defect caused by LSD1 inhibition in primary rat cardiomyocytes. Moreover, genetic deletion of Cend1 rescued cardiomyocyte proliferation defect and embryonic lethality in Lsd1 null embryos. Consistently, LSD1 promoted the cell cycle of cardiomyocytes derived from human-induced pluripotent stem cells by repressing CEND1. Together, these findings reveal an epigenetic regulatory mechanism involving the LSD1-CEND1 axis that controls cardiomyocyte proliferation essential for murine heart development.

Downregulated GPD1 and MAGL protein levels as potential biomarkers for the metastasis of triple‑negative breast tumors to axillary lymph nodes

Glycerol-3-phosphate dehydrogenase (GPD1) and monoacylglycerol lipase (MAGL) levels are known to be significantly downregulated in both the tissue and serum samples of patients with triple-negative breast cancer (TNBC), compared with other BC subtypes and healthy controls. As such, the association between GPD1 and MAGL levels and lymph node metastasis was evaluated in the present study. Utilizing western blotting, lymph node protein extracts from metastasized BC subtypes were analyzed and a significant downregulation of GPD1 and MAGL protein expression levels in the lymph node metastases was demonstrated in the TNBC subtype, compared with healthy controls. This finding further highlighted the potential use of these two proteins in early BC onset and metastasis detection.

Identification of the role of MCM6 in bladder cancer prognosis, immunotherapy response, and in vitro experimental investigation using multi-omics analysis

BACKGROUND

The tumor-promoting effects of MCM6 in numerous tumors have been widely revealed, yet its specific role in bladder cancer (BLCA) is still elusive. The objective of this research was to explore the underlying impact of MCM6 on BLCA.

METHODS

Integrating transcriptomic and proteomic data, MCM6 was identified to be strongly correlated with BLCA through weighted gene co-expression network analysis(WGCNA) and venn analyses. Then, the clinical value of MCM6 was validated with public database data. The different molecular/immune characteristics and the benefit of immunotherapy were also found in MCM6-defined subgroups. Additionally, single-cell RNA sequencing (scRNA-seq) data was choose for quantify MCM6 expression in the distinct BLCA cell types. The biological role of MCM6 were evaluated via in vitro functional experiments.

RESULTS

It was testified that the MCM6 could distinguish patients outcome in TCGA and GEO cohorts. Moreover, compared with the MCM6 low-expression group, the MCM6 high-expression group was related to more tumor-promoting related pathways, aggressive phenotypes, and benefit from immunotherapy. Analysis of scRNA-seq data resulted in MCM6 was mainly expressed in BLCA epithelial cells and the proportion of MCM6-expressing tumor epithelial cells is higher than the normal epithelial cells. Moreover, vitro experiments demonstrated that MCM6 knockdown repressed proliferation, cell cycle, migration, and invasion of BLCA cells.

CONCLUSION

This research indicated MCM6 is a promising marker for both prognosis and immunotherapy benefit and could promote the cells proliferation, invasion and migration in BLCA.

GPD1 inhibits the carcinogenesis of breast cancer through increasing PI3K/AKT-mediated lipid metabolism signaling pathway

Glycerol 3-phosphate dehydrogenase 1 (GPD1) acts as a tumor suppressor in various types of cancer. However, the mechanisms of GPD1 anti-tumor remain unclear in breast cancer. This study aims to explore the function and clinical relevance of GPD1 in breast cancer. We confirmed that GPD1 inhibited the ability of proliferation, migration, and invasion in GPD1 overexpression breast cancer cells by CCK-8, wound healing, and Transwell assays, respectively. We found that GPD1 overexpression activated the lipid synthesis pathway and PI3K/AKT signaling pathway. The inhibitory effect of GPD1 on breast cancer cells was also weakened after treatment with LY294002, a PI3K/AKT pathway inhibitor. These results indicated that GPD1 suppressed the carcinogenesis of breast cancer through increasing PI3K/AKT-mediated lipid signaling pathways. Meanwhile, we detected that the relationship between GPD1 level and survival rate presents a positive correlation in breast cancer patients from the Cancer Genome Atlas (TCGA) database. Therefore, GPD1 can be a prognostic biomarker and target in developing therapeutic strategies for breast cancer patients.

Intracranial hemorrhage management in the multi-omics era

Intracranial hemorrhage (ICH) is a devastating disorder. Neuroprotective strategies that prevent tissue injury and improve functional outcomes have been identified in multiple animal models of ICH. However, these potential interventions in clinical trials produced generally disappointing results. With progress in omics, studies of omics data, including genomics, transcriptomics, epigenetics, proteomics, metabolomics, and the gut microbiome, may help promote precision medicine. In this review, we focused on introducing the applications of all omics in ICH and shed light on all of the considerable advantages to systematically analyze the necessity and importance of multiple omics technology in ICH.

Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases

Mainstream transcriptome profiling of susceptibility versus resistance to age-related diseases (ARDs) is focused on differentially expressed genes (DEGs) specific to gender, age, and pathogeneses. This approach fits in well with predictive, preventive, personalized, participatory medicine and helps understand how, why, when, and what ARDs one can develop depending on their genetic background. Within this mainstream paradigm, we wanted to find out whether the known ARD-linked DEGs available in PubMed can reveal a molecular marker that will serve the purpose in anyone's any tissue at any time. We sequenced the periaqueductal gray (PAG) transcriptome of tame versus aggressive rats, identified rat-behavior-related DEGs, and compared them with their known homologous animal ARD-linked DEGs. This analysis yielded statistically significant correlations between behavior-related and ARD-susceptibility-related fold changes (log₂ values) in the expression of these DEG homologs. We found principal components, PC1 and PC2, corresponding to the half-sum and the half-difference of these log₂ values, respectively. With the DEGs linked to ARD susceptibility and ARD resistance in humans used as controls, we verified these principal components. This yielded only one statistically significant common molecular marker for ARDs: an excess of Fcγ receptor IIb suppressing immune cell hyperactivation.

Effective Synthesis and Biological Evaluation of Functionalized 2,3-Dihydrofuro[3,2-c]coumarins via an Imidazole-Catalyzed Green Multicomponent Approach

For the first time, an eco-friendly and efficient one-pot green multicomponent approach has been described to synthesize functionalized trans-2,3-dihydrofuro[3,2-c]coumarins (DHFCs). In this synthesis, imidazole and water were used as the catalyst and solvent, respectively, under mild conditions. Applications of the developed catalytic process in a water medium revealed the outstanding activity, productivity, and broad functional group tolerance, affording a series of newly designed DHFC and derivatives in excellent yields (72-98%). Moreover, the human serum albumin (HSA) binding ability of the synthesized DHFC derivatives has been uncovered through the detailed in silico and in vitro-based structure-activity analysis. The ability to bind HSA, the most abundant serum protein, in the low micromolar ranges unequivocally reflects the suitable absorption, distribution, metabolism, and elimination profile of the synthesized compounds, which may further be envisaged for their therapeutic usage endeavors.

Effects of Nursing Care for the Treatment of Patients with Bladder Cancer: A Systematic Review and Meta-analysis

Purpose. In this study, a systematic review and meta-analysis were used to examine the effectiveness of nursing care in the treatment of bladder cancer patients. The platforms of PubMed, Embase, Cochrane Library, and Web of Science were used to conduct a thorough literature search. Methods. The searching approach was used to find the fundamental characteristics of 5 studies. Sample size ranged from 52 to 131,852, and total sample size was 151,166. The study was looked up in PubMed, Embase, and Web of Science, with the most recent search being done in July 2022. Utilizing a standardized form, two independent reviewers gathered pertinent information from research that qualified as literature (17). Review Manager 5.3 used the data to examine the literature. Statistics were deemed significant at $p<0.05$ . Results. We discovered that more bladder cancer patients with T1+T2 tumor stages were receiving nursing care than those with T1+T2 tumor stages were receiving control care (mean difference =1.27, 95% CI: 1.20-1.35, $p<0.00001$ ). The proportion of bladder cancer patients with T3+T4 tumor stage in the nursing care group was lower than the proportion of patients with T3+T4 tumor stage in the control group (mean difference = 1.07; 95% CI: 1.01-1.14; $p<0.00001$ ). The difference between the number of bladder cancer patients receiving radiotherapy in the nursing care group and the control group was not statistically significant (mean difference = 1.07, 95% confidence interval [CI]: 0.99-1.16, $p=0.11$ ). There were fewer patients with bladder cancer receiving chemotherapy in the nursing care group than that in the control group (mean difference = -0.02, 95% CI: -0.0-0.02, $p<0.00001$ ). The incidence rate of patients with bladder cancer with major complications in nursing care group was lower than that of patients with bladder cancer with major complications in control group (mean difference = 0.41 95% CI: 0.18-0.93, $p=0.03$ ). When compared to patients with bladder cancer who had serious complications in the control group, the hospital death rate for nursing care patients had a greater incidence of bladder cancer patients (mean difference = 4.64 95% CI: 4.46-4.82, $p<0.00001$ ). Conclusion. This study demonstrated that the effects of nursing care reduced the incidence rate of chemotherapy and the frequency of severe problems in bladder cancer patients.