Plasma Steroid Profiling Combined With Machine Learning for the Differential Diagnosis in Mild Autonomous Cortisol Secretion From Nonfunctioning Adenoma in Patients With Adrenal Incidentalomas.

OBJECTIVE: To assess the diagnostic value of combining plasma steroid profiling with machine learning (ML) in differentiating between mild autonomous cortisol secretion (MACS) and nonfunctioning adenoma (NFA) in patients with adrenal incidentalomas. METHODS: The plasma steroid profiles data in the laboratory information system were screened from January 2021 to December 2023. EXtreme Gradient Boosting was applied to establish diagnostic models using plasma 24-steroid panels and/or clinical characteristics of the subjects. The SHapley Additive exPlanation (SHAP) method was used for explaining the model. RESULTS: Seventy-six patients with MACS and 86 patients with NFA were included in the development and internal validation cohort while the external validation cohort consisted of 27 MACS and 21 NFA cases. Among 5 ML models evaluated, eXtreme Gradient Boosting demonstrated superior performance with an area under the curve of 0.77 using 24 steroid hormones. The SHAP method identified 5 steroids that exhibited optimal performance in distinguishing MACS from NFA, namely dehydroepiandrosterone, 11-deoxycortisol, 11ß-hydroxytestosterone, testosterone, and dehydroepiandrosteronesulfate. Upon incorporating clinical features into the model, the area under the curve increased to 0.88, with a sensitivity of 0.77 and specificity of 0.82. Furthermore, the results obtained through SHAP revealed that lower levels of testosterone, dehydroepiandrosterone, low-density lipoprotein cholesterol, body mass index, and adrenocorticotropic hormone along with higher level of 11-deoxycortisol significantly contributed to the identification of MACS in the model. CONCLUSIONS: We have elucidated the utilization of ML-based steroid profiling to discriminate between MACS and NFA in patients with adrenal incidentalomas. This approach holds promise for distinguishing these 2 entities through a single blood collection.

Steroid profiling in adrenal disease.

The measurement of steroid hormones in blood and urine, which reflects steroid biosynthesis and metabolism, has been recognized as a valuable tool for identifying and distinguishing steroidogenic disorders. The application of mass spectrometry enables the reliable and simultaneous analysis of large panels of steroids, ushering in a new era for diagnosing adrenal diseases. However, the interpretation of complex hormone results necessitates the expertise and experience of skilled clinicians. In this scenario, machine learning techniques are gaining worldwide attention within healthcare fields. The clinical values of combining mass spectrometry-based steroid profiles analysis with machine learning models, also known as steroid metabolomics, have been investigated for identifying and discriminating adrenal disorders such as adrenocortical carcinomas, adrenocortical adenomas, and congenital adrenal hyperplasia. This promising approach is expected to lead to enhanced clinical decision-making in the field of adrenal diseases. This review will focus on the clinical performances of steroid profiling, which is measured using mass spectrometry and analyzed by machine learning techniques, in the realm of decision-making for adrenal diseases.

Case report and mini-review: Sarcina ventriculi in the stomach of an 80-year-old female.

Sarcina ventriculi, also known as Zymosarcina ventriculi and, incorrectly, as Clostridium ventriculi, is rarely encountered in clinical settings. A patient with a complicated gastrointestinal (GI) history, who was acutely presenting with small-bowel obstruction, was found to be colonized by S. ventriculi. The distinctive morphology of this species, with large Gram-variable cocci (up to 3 µm) arranged in two-by-two cuboid clusters reaching up to 20 µm, was key in identifying this bacterium in a stomach biopsy specimen. Sarcina ventriculi appears to be ubiquitously found in nature, and related bacterial species can cause GI-related disease in various animals. Clinical manifestations in humans are broad and often related to other underlying comorbidities. Isolation of S. ventriculi in the laboratory requires anaerobic culture on select media but its absence from standard MALDI-TOF databases complicates identification. Susceptibility data do not exist, so empiric treatment is the only option for this rare pathogen.

Saliva sampling strategies affecting the salivary glucose measurement.

Characterized by sustained elevated blood glucose levels, diabetes mellitus has become one of the largest global public health concerns by imposing a heavy global burden on socio-economic development. To date, regular blood glucose level check by performing a finger-prick test has been a routine strategy to monitor diabetes. However, the intrusive nature of finger blood prick tests makes it challenging for individuals to maintain consistent testing routines. Recently, salivary glucose measurement (SGM) has increasingly become a non-invasive alternative to traditional blood glucose testing for diabetes. Despite that, further research is needed to standardize the collection methods and address the issues of variability to ensure accurate and reliable SGM. To resolve possible remaining issues in SGM, we here thoroughly explored saliva sampling strategies that could impact the measurement results. Additionally, the effects of supplements taken, mouth washing, gum chewing, and smoking were collectively analyzed, followed by a continuous SGM over a long period, forming the stepping stone for the practical transitional development of SGM in non-invasive diabetes monitoring.

Ovarian Granulosa Cell Tumor Initially Presenting as a Giant Liver Mass Radiologically Mimicking Primary Cystic Cholangiocarcinoma.

BACKGROUND: Ovarian granulosa cell tumor (GCT) is a rare type of malignant sex-cord stromal tumor, with adult and juvenile types. The ovarian GCT initially presented as a giant liver mass clinically mimicking primary cholangiocarcinoma is exceedingly rare. CASE REPORT: We report such a case of a 66-year-old woman who presented with right upper quadrant pain. Abdominal magnetic resonance imaging (MRI) and a subsequently fused positron emission tomography/computed tomography (PET/CT) showed a solid and cystic mass with hypermetabolic activity concerning intrahepatic primary cystic cholangiocarcinoma. A fine-needle core biopsy of the liver mass showed coffee-bean-shaped tumor cells. The tumor cells were positive for Forkhead Box L2 (FOXL2), inhibin, Wilms tumor protein 1 (WT-1), steroidogenic factor 1 (SF1), vimentin, estrogen receptor (ER), and smooth muscle actin (SMA). The histologic features and immunoprofile supported a metastatic sex-cord stromal tumor favoring granulosa cell tumor, adult type. Strata next-generation sequencing test was performed on the liver biopsy and FOXL2 c.402C>G (p.C134W) mutation was present, consistent with granulosa cell tumor. CONCLUSION: To the best of our knowledge, this is the first documented case of ovarian granulosa cell tumor with FOXL2 mutation initially presenting as a giant liver mass clinically mimicking primary cystic cholangiocarcinoma.

lncRNA ZNF674-AS1 inhibits the migration, invasion and epithelial-mesenchymal transition of thyroid cancer cells by modulating the miR-181a/SOCS4 axis.

Thyroid cancer (TC) is a very common endocrine cancer worldwide. Further understanding and revealing the molecular mechanism underlying thyroid cancer are indispensable for the development of effective diagnosis and treatments. Long non-coding RNAs (lncRNAs), a series of non-coding RNAs with a length of >200 nts, have been regarded as crucial regulators of many cancers playing a tumor suppressive or oncogenic role, depending on circumstances. lncRNA ZNF674-AS1 was reported to be abnormally expressed in TC, but the exact mechanism remains unclear. This study aims to probe the mechanism and roles of ZNF674-AS1 in TC. The expression patterns of RNAs and proteins were determined via qRT-PCR and western blotting, respectively. Cell proliferation, migration and invasion were detected using MTT and Transwell assays. ZNF674-AS1 and SOCS4 expression were remarkably reduced while miR-181a was upregulated in TC tissues and cells. Enforced expression of ZNF674-AS1 inhibited proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) in vitro and reduced tumour growth in vivo. Mechanistic assays verified that ZNF674-AS1 directly interacted with miR-181a to increase SOCS4 expression. In addition, miR-181a overexpression aggravated proliferation, metastasis and EMT by inhibiting SOCS4. Interestingly, inhibition of miR-181a diminished the promoting effects of ZNF674-AS1 silencing on the malignant behaviours of TC cells. These data illustrated that ZNF674-AS1 alleviated TC progression by modulating the miR-181a/SOCS4 axis (graphical abstract), further suggesting that ZNF674-AS1 might be used as a therapheutic target in TC treatment.

An accessible, efficient, and accurate natural language processing method for extracting diagnostic data from pathology reports.

Context: Analysis of diagnostic information in pathology reports for the purposes of clinical or translational research and quality assessment/control often requires manual data extraction, which can be laborious, time-consuming, and subject to mistakes. Objective: We sought to develop, employ, and evaluate a simple, dictionary- and rule-based natural language processing (NLP) algorithm for generating searchable information on various types of parameters from diverse surgical pathology reports. Design: Data were exported from the pathology laboratory information system (LIS) into extensible markup language (XML) documents, which were parsed by NLP-based Python code into desired data points and delivered to Excel spreadsheets. Accuracy and efficiency were compared to a manual data extraction method with concordance measured by Cohen's κ coefficient and corresponding P values. Results: The automated method was highly concordant (90%-100%, P<.001) with excellent inter-observer reliability (Cohen's κ: 0.86-1.0) compared to the manual method in 3 clinicopathological research scenarios, including squamous dysplasia presence and grade in anal biopsies, epithelial dysplasia grade and location in colonoscopic surveillance biopsies, and adenocarcinoma grade and amount in prostate core biopsies. Significantly, the automated method was 24-39 times faster and inherently contained links for each diagnosis to additional variables such as patient age, location, etc., which would require additional manual processing time. Conclusions: A simple, flexible, and scaleable NLP-based platform can be used to correctly, safely, and quickly extract and deliver linked data from pathology reports into searchable spreadsheets for clinical and research purposes.

Role of Yes-associated Protein-1 in Gastrointestinal Cancers and Hepatocellular Carcinoma.

Yes-associated protein-1 (YAP1) is a potent transcriptional co-activator and functions as an important downstream effector of the Hippo signaling pathway, which is key to regulating cell proliferation, apoptosis, and organ growth. YAP1 has been implicated as an oncogene for various human cancers including gastrointestinal cancers and hepatocellular carcinoma (HCC). YAP1 promotes tumorigenesis and cancer progression by multiple mechanisms, such as by promoting malignant phenotypes, expanding cancer stem cells, and inducing epithelial-mesenchymal transition. YAP1 overexpression or its activated forms are associated with advanced pathological grades and poor prognosis of cancer, and therefore targeting YAP1 may open a fertile avenue for cancer therapy. In this review, we summarize the recent evidence regarding the role of YAP1 in the carcinogenesis of gastrointestinal cancers and HCC.

Risk factors for cholesterol polyp formation in the gallbladder are closely related to lipid metabolism.

BACKGROUND: The purpose of this study was to assess the risk factors for cholesterol polyp formation in the gallbladder. METHODS: This was a multicenter retrospective study based on pathology. From January 2016 to December 2019, patients who underwent cholecystectomy and non-polyp participants confirmed by continuous ultrasound follow-ups were reviewed. Patients in the cholesterol polyp group were recruited from three high-volume centers with a diagnosis of pathologically confirmed cholesterol polyps larger than 10 mm. Population characteristics and medical data were collected within 24 h of admission before surgery. The non-polyp group included participants from the hospital physical examination center database. They had at least two ultrasound examinations with an interval longer than 180 days. Data from the final follow-up of the non-polyp group were analyzed. The risk factors for cholesterol polyp formation were analyzed by comparing the two groups. RESULTS: A total of 4714 participants were recruited, including 376 cholesterol polyp patients and 4338 non-polyp participants. In univariate analysis, clinical risk factors for cholesterol polyps were age, male sex, higher body mass index (BMI), higher low-density lipoprotein (LDL), lower high-density lipoprotein (HDL), and higher aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels. In multivariate logistic analysis, independent risk factors were age > 50 years (odds ratio [OR] = 3.02, 95% confidence interval [CI] 2.33-3.91, P < 0.001], LDL > 2.89 mmol/L (OR = 1.38, 95% CI 1.08-1.78, P = 0.011), lower HDL (OR = 1.78 95% CI 1.32-2.44, P < 0.001), AST > 40 IU/L (OR = 3.55, 95% CI 2.07-6.07, P < 0.001), and BMI > 25 kg/m 2 (OR = 1.32, 95% CI 1.01-1.72, P = 0.037). CONCLUSIONS: Age, LDL, HDL, AST, and BMI are strong risk factors for cholesterol polyp formation. Older overweight patients with polyps, accompanied by abnormal lipid levels, are at high risk for cholesterol polyps.

Construction of a competitive endogenous RNA network and analysis of potential regulatory axis targets in glioblastoma.

BACKGROUND: Glioblastoma is the most common primary malignant brain tumor. Because of the limited understanding of its pathogenesis, the prognosis of glioblastoma remains poor. This study was conducted to explore potential competing endogenous RNA (ceRNA) network chains and biomarkers in glioblastoma by performing integrated bioinformatics analysis. METHODS: Transcriptome expression data from The Cancer Genome Atlas database and Gene Expression Omnibus were analyzed to identify differentially expressed genes between glioblastoma and normal tissues. Biological pathways potentially associated with the differentially expressed genes were explored by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and a protein-protein interaction network was established using the STRING database and Cytoscape. Survival analysis using Gene Expression Profiling Interactive Analysis was based on the Kaplan-Meier curve method. A ceRNA network chain was established using the intersection method to align data from four databases (miRTarBase, miRcode, TargetScan, and lncBace2.0), and expression differences and correlations were verified by quantitative reverse-transcription polymerase chain reaction analysis and by determining the Pearson correlation coefficient. Additionally, an MTS assay and the wound-healing and transwell assays were performed to evaluate the effects of complement C1s (C1S) on the viability and migration and invasion abilities of glioblastoma cells, respectively. RESULTS: We detected 2842 differentially expressed (DE) mRNAs, 2577 DE long non-coding RNAs (lncRNAs), and 309 DE microRNAs (miRNAs) that were dysregulated in glioblastoma. The final ceRNA network consisted of six specific lncRNAs, four miRNAs, and four mRNAs. Among them, four DE mRNAs and one DE lncRNA were correlated with overall survival (p < 0.05). C1S was significantly correlated with overall survival (p= 0.015). In functional assays, knockdown of C1S inhibited the proliferation and invasion of glioblastoma cell lines. CONCLUSIONS: We established four ceRNA networks that may influence the occurrence and development of glioblastoma. Among them, the MIR155HG/has-miR-129-5p/C1S axis is a potential marker and therapeutic target for glioblastoma. Knockdown of C1S inhibited the proliferation, migration, and invasion of glioblastoma cells. These findings clarify the role of the ceRNA regulatory network in glioblastoma and provide a foundation for further research.

Knockdown lncRNA DLEU1 Inhibits Gliomas Progression and Promotes Temozolomide Chemosensitivity by Regulating Autophagy.

Gliomas are the most fatal malignant cerebral tumors. Temozolomide (TMZ), as the primary chemotherapy drug, has been widely used in clinics. However, resistance of TMZ still remains to poor defined. LncRNAs have been reported to play crucial roles in progression of various cancers and resistance of multiple drugs. However, the biological function and underlying mechanisms of most lncRNAs in glioma still remains unclear. Based on the TCGA database, a total of 94 differentially expressed lncRNAs, including 16 up-regulated genes and 78 downregulated genes were identified between gliomas and normal brain tissues. Subsequently, lncRNA DLEU1, HOTAIR, and LOC00132111 were tested to be significantly related to overall survival (OS) between high- and low-expression groups. Additionally, we verified that lncRNA DLEU1 was high expressed in 108 gliomas, compared with 19 normal brain tissues. And high expression of lncRNA DLEU1 predicted a poor prognosis (HR = 1.703, 95%CI: 1.133-2.917, p-value = 0.0159). Moreover, functional assays revealed that knockdown of lncRNA DLEU1 could suppress the proliferation by inducing cell cycle arrest at G1 phase and reducing the S phase by down-regulating the CyclinD1 and p-AKT, as the well as migration and invasion by inhibiting the epithelial-mesenchymal transition (EMT) markers, such as ZEB1, N-cadherin, ß-catenin and snail in glioma cells. Furthermore, silencing lncRNA DLEU1 suppressed TMZ-activated autophagy via regulating the expression of P62 and LC3, and promoted sensitivity of glioma cells to TMZ by triggering apoptosis. Conclusively, our study indicated that lncRNA DLEU1 might perform as a prognostic potential target and underlying therapeutic target for sensitivity of glioma to TMZ.

M6A RNA Methylation Regulator HNRNPC Contributes to Tumorigenesis and Predicts Prognosis in Glioblastoma Multiforme.

Glioblastoma multiforme (GBM) is the most malignant glioma with a high death rate. N6-methyladenosine (m6A) RNA methylation plays an increasingly important role in tumors. The current study aimed to determine the function of the regulators of m6A RNA methylation in GBM. We evaluated the difference, interaction, and correlation of these regulators with TCGA database. HNRNPC, WTAP, YTHDF2 and, YTHDF1 were significantly upregulated in GBM. To explore the expression characteristics of regulators in GBM, we defined two subgroups through consensus cluster. HNRNPC, WTAP, and YTHDF2 were significantly upregulated in the cluster2 which had a good overall survival (OS). To investigate the prognostic value of regulators, we used lasso cox regression algorithm to screen an independent prognostic risk characteristic based on the expression of HNRNPC, ZC3H13, and YTHDF2. The prognostic feature between the low and high-risk groups was significantly different (P < 0.05), which could predict significance of prognosis (area under the curve (AUC) = 0.819). Moreover, we used western blot, RT-PCR, and immunohistochemical staining to verify the expression of HNRNPC was associated with malignancy and development of gliomas. Similarly, the high expression of HNRNPC had a good prognosis. In conclusion, HNRNPC is a vital participant in the malignant progression of GBM and might be valuable for prognosis.

The value of bronchial and cavity contraction rates in differentiating benign and malignant pulmonary cavities.

BACKGROUND: The present study aimed to assess the value of bronchial and cavity contraction percentages in differentiating benign and malignant pulmonary cavities. METHODS: Forty-two patients with pulmonary cavities were scanned by dual-phase computed tomography (CT). Then, the cavity and bronchial contraction percentages were respectively measured, the differences between the benign and malignant cavities were compared, and the best diagnostic critical point for differentiating benign and malignant cavities was obtained through the receiver operator characteristic (ROC) curve of the diagnostic test. RESULTS: The contraction percentage of the bronchial end with benign cavities was significantly higher than that of the bronchial end with malignant cavities (P < 0.001). The contraction percentage was significantly higher in the benign group than in the malignant group (P < 0.001). The ROC analysis revealed that the sensitivity and specificity of the bronchial contraction percentage was 90.50 and 86.40%, respectively, while the sensitivity and specificity of the cavity contraction percentage was 90.50 and 90.90%, respectively. CONCLUSION: The dual-phase CT scanning of the bronchial and cavity contraction percentage can distinguish between benign and malignant cavities.

Targeting and Specific Activation of Antigen-Presenting Cells by Endogenous Antigen-Loaded Nanoparticles Elicits Tumor-Specific Immunity.

Immunotherapy has shown tremendous promise for improving cancer treatment. Unfortunately, antigen-presenting cells (APCs) in cancer patients cannot effectively recognize and process tumor antigens to activate host immune responses. In this study, an approach is developed to improve cancer immunotherapy that utilizes endogenous antigen-carrying nanoparticles (EAC-NPs), which encompasses a set of antigens isolated from solid tumors and adjuvants. The EAC-NPs specifically target APCs and subsequently result in enhanced T cell responses and improved antitumor efficacy. Mechanistic studies reveal that the EAC-NPs enhance and prolong the presence of immune compounds in APCs, which ensure persistent antigen loading and stimulation, induce a rapid proliferation of CD4+ and CD8+ T cells, and significantly increase the ratios of intratumoral CD4+ T/Treg and CD8+ T/Treg. The work using nanotechnology provides a promising strategy in improving antitumor immunity by enhancing the immunogenicity and presentation of tumor self-antigens for cancer immunotherapy.

Yes-associated protein-1 may serve as a diagnostic marker and therapeutic target for residual/recurrent hepatocellular carcinoma post-transarterial chemoembolization☆.

BACKGROUND AND AIM: The transcriptional co-activator Yes-associated protein-1 (YAP1) has been implicated as an oncogene and is overexpressed in different kinds of human cancers, especially hepatocellular carcinoma (HCC). However, the role of YAP1 has not been reported in residual/recurrent HCC after transarterial chemoembolization (TACE). Our aim is to determine whether YAP1 is overexpressed in the residual/recurrent HCC after TACE. METHODS: A total of 105 tumor tissues from 71 patients including 30 cases of primary HCC without prior treatment, 35 cases of residual/recurrent HCC post TACE, and 6 cases of hepatoblastoma were included in the immunohistochemical study. YAP1 immunoreactivity was blindly scored as 0, 1+, 2+ or 3+ in density and percentages of positive cells. RESULTS: About 33.3% (10/30) of primary HCC without prior treatment showed 2+ of YAP1 immunoreactivity. While 82.8% (29/35) of residual/recurrent HCCs after TACE treatment displayed 2-3+ of YAP1 immunoreactivity, which was significantly higher compared to primary HCC without prior treatment (P = 0.0002). YAP1 immunoreactivity was moderately to strongly positive (2-3+) in 100% of the hepatoblastoma, particularly in the embryonal components (3+ in 100% cases). CONCLUSIONS: YAP1 is significantly upregulated in the residual/recurrent HCCs post TACE treatment, suggesting that YAP1 may serve as a sensitive diagnostic marker and a treatment target for residual/recurrent HCC post TACE.

p21CIP1 Promotes Mammary Cancer-Initiating Cells via Activation of Wnt/TCF1/CyclinD1 Signaling.

Cancer stem cells (CSC) generate and sustain tumors due to tumor-initiating potential, resulting in recurrence or metastasis. We showed that knockout of the cell-cycle inhibitor, p21CIP1, in the PyMT mammary tumor model inhibits metastasis; however the mechanism remained unknown. Here, we show a pivotal role for p21 in potentiating a cancer stem-like phenotype. p21 knockout in PyMT mammary tumor cells caused dramatic suppression of CSC properties involving tumorsphere formation, ALDH1 activity, and tumor-initiating potential, which were in turn rescued by p21 overexpression into PyMT/p21 knockout cells. Interestingly, p21 knockout dramatically suppresses Wnt/ß-catenin signaling activity, leading to striking inhibition of LEF1 and TCF1 expression. TCF1 knockdown in PyMT cells suppressed tumorsphere formation due to Cyclin D1 attenuation. These data demonstrate that p21 promotes a CSC-like phenotype via activation of Wnt/TCF1/Cyclin D1 signaling. IMPLICATIONS: p21 is a strong promoter of mammary CSCs.

HDAC6 inhibitor WT161 induces apoptosis in retinoblastoma cells and synergistically interacts with cisplatin.

BACKGROUND: WT161 is a recently discovered histone deacetylase 6 (HDAC6) inhibitor which shows anti-tumor effects on multiple myelomas and breast cancer. However, the role of WT161 in retinoblastoma remains unclear. The aim of this study is to explore the role of WT161 in retinoblastoma and its underlying mechanisms. METHODS: The anti-proliferation of WT161 on retinoblastoma cells was examined using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and soft agar colony formation assay. Cell apoptosis was analyzed using flow cytometer. WT161 and DDP synergistic effect was evaluated by isobologram analysis using CompuSyn software. RESULTS: WT161 suppressed the cell growth and induced apoptosis of retinoblastoma cells in a dose- and time-dependent manner. Mechanistically, WT161 increases the transcription of Bad through activating Bad promoter. Chromatin immunoprecipitation (ChIP) assay showed WT161 treatment increased acetylated histone H3 (AcH3) and acetylated histone H4 (AcH4) on the Bad promoter in retinoblastoma cells. In addition, WT161 shows synergistically inhibitory effects on retinoblastoma cell combined with cisplatin. CONCLUSIONS: These results indicate that WT161, as a selective HDAC6 inhibitor, is a promising agent against retinoblastoma.

Mesoporous silica nanoparticles (MSNs)-based organic/inorganic hybrid nanocarriers loading 5-Fluorouracil for the treatment of colon cancer with improved anticancer efficacy.

Novel methods to improve the anticancer performance of 5-fluorouracil (5-FU) is quite necessary for clinical medicines. In the present work, we fabricated a novel type of mesoporous silica nanoparticles (MSNs)-based inorganic/organic hybrid nanoparticles covalently attached with poly(oligo(ethylene glycol) monomethyl ether methacrylate) (POEGMA) for improved stabilization and targeting peptide (RGD) for targeted delivery with the aim of improving the anticancer performance of 5-FU. Atom transfer radical polymerization (ATRP) initiator functionalized MSN (MSN-Br) was synthesized at first, which was followed by surface-initiated ATRP of water soluble OEGMA and carboxyl-containing monomer (2-succinyloxyethyl methacrylate, SEMA). Functionalization of RGD onto the hydrophilic P(OEGMA-co-SEMA) chains afforded the final hybrid nanoparticle, MSN-P(OEGMA-co-RGD). 5-FU can be effectively loaded into the meso-pores of MSN-P(OEGMA-co-RGD) (5-FU@MSN-RGD) with drug content ∼7.5wt%. And the dynamic diameter (Dh) and zeta potential (ζ) of 5-FU@MSN-RGD were determined to be 199.3±5.4nm and -8.7±0.5mV, respectively. It was demonstrated that MSN-P(OEGMA-co-RGD) exhibited improved internalization into colon cancer cells and enhanced accumulation in tumor tissues. In addition, compared with free 5-FU, 5-FU@MSN-RGD showed enhanced anticancer efficacy both in vitro and in vivo, implying promising clinical applications.