Investigator

Wei Zhang

Associate Professor and Graduate Program Director · University of Central Florida, Computer Science

WZWei Zhang
Papers(12)
X-intNMF: a cross- an…The value of surgery …<i>UBE2C</i> …Promotion of the occu…A positive feedback l…Aggresome formation p…5-Hydroxymethylated B…METTL3‐mediated NFAT5…MiRNA-mRNA integrativ…6,12-Diphenyl-3, 9-di…A phase II trial of c…Cysteine-Rich Intesti…
Collaborators(10)
Anamaria BrozovicGuanlan FanFeng LiXiaojun ChenXiao-Long CuiXiaolu ZhangXiao-Xing XiongXing ZhouXinrui LiXipeng Wang
Institutions(11)
University Of Central…Institut Ruder Boskov…Zhongnan Hospital Of …Wuhan UniversityObstetrics And Gyneco…Indiana University Sc…Hebei University of C…Renmin Hospital of Wu…Union Hospital Httpsr…山东第一医科大学(山东省医学科学院)Dalian Jiaotong Unive…

Papers

X-intNMF: a cross- and intra-omics regularized NMF framework for multi-omics integration

Abstract Motivation The rapid accumulation of multi-omics data presents a valuable opportunity to advance our understanding of complex diseases and biological systems, driving the development of integrative computational methods. However, the complexity of biological processes, spanning multiple molecular layers and involving intricate regulatory interactions, requires models that can capture both intra- and cross-omics relationships. Most existing integration methods primarily focus on sample-level similarities or intra-omics feature interactions, often neglecting the interactions across different omics layers. This limitation can result in the loss of critical biological information and suboptimal performance. To address this gap, we propose X-intNMF, a network-regularized non-negative matrix factorization (NMF) framework that simultaneously integrates intra- and cross-omics feature interactions into a shared low-dimensional representation (see Fig. 1). By modeling these multi-layered relationships, X-intNMF enhances the representation of biological interactions and improves integration quality and prediction accuracy. Results For evaluation, we applied X-intNMF to predict breast cancer phenotypes and classify clinical outcomes in lung and ovarian cancers using mRNA expression, microRNA expression, and DNA methylation data from TCGA. The results show that X-intNMF consistently outperforms state-of-the-art methods. Ablation studies confirm that incorporating both cross-omics and intra-omics interactions contributes significantly to the model’s improved performance. Additionally, survival analysis on 25 TCGA cancer datasets demonstrates that the integrated multi-omics representation offers strong prognostic value for both overall survival and disease-free status. These findings highlight X-intNMF’s ability to effectively model multi-layered molecular interactions while maintaining interpretability, robustness, and scalability within the NMF framework. Availability and implementation The source code and datasets supporting this study are publicly available at GitHub (https://github.com/compbiolabucf/X-intNMF) and archived on Zenodo (https://doi.org/10.5281/zenodo.18238385).

UBE2C -mediated Autophagy Inhibition via Ubiquitination of SIRT1 Contributes to Endometrial Cancer Progression

Abstract Recent studies have shown that autophagy plays an important role in gynecologic tumors, and ubiquitin modification of autophagy regulatory components is essential to regulate autophagic flux. In this study, we found that the ubiquitin-conjugating enzyme E2C (UBE2C) affects endometrial cancer cell apoptosis and proliferation by inhibiting autophagy. Electron microscopy observation of cell ultrastructure and experimental biochemical analysis showed that endometrial cancer cells with UBE2C expression knocked down display typical autophagic characteristics. Cells were cotreated with the autophagy pharmacologic inhibitors chloroquine and/or bafilomycin A1, and mRFP-GFP-LC3 assays were performed to monitor autophagic flux and determine whether UBE2C suppresses the autophagy program. Investigation of the corresponding mechanism by which UBE2C inhibits autophagy revealed that UBE2C induces K48-linked SIRT1 ubiquitination and promotes ubiquitination-dependent degradation of SIRT1, subsequently reducing H4K16 deacetylation levels and epigenetically inhibiting the expression of autophagy-related genes. The results of cell counting kit-8, Hoechst staining, and immunofluorescence assays further indicated that deletion of the autophagy-related gene BECN1 significantly attenuates UBE2C knockdown–induced cell apoptosis. Moreover, overexpression of UBE2C promoted tumor growth in the xenograft mice model. While, the introduction of rapamycin, an agonist of autophagy, successfully reversed tumor growth and apoptosis inhibition mediated by UBE2C overexpression in vitro and in vivo. Taken together, our results suggested that UBE2C-mediated ubiquitination and degradation of SIRT1 contribute to the malignant progression of endometrial cancer through epigenetic inhibition of autophagy. Implications: Our study highlights the tumorigenic role and regulatory mechanism of UBE2C in endometrial cancer; UBE2C inhibits endometrial cancer cell apoptosis through autophagy-related mechanisms and our findings provide new insights into the treatment of endometrial cancer.

Promotion of the occurrence of endometrioid carcinoma by S100 calcium binding protein P

Abstract Background Endometrial cancer, one of the most common malignant tumors, is a serious threat to women’s health. Endometrial hyperplasia is a precursor of endometrial cancer. S100 calcium binding protein P (S100P) has been found to play important roles in many types of cancer. The present study aimed to investigate the expression of S100P in endometrial cancer and its precursor lesions, and to explore the possible mechanisms. Methods We collected paraffin sections of normal endometrium, simple and complex non-atypical hyperplasia, atypical hyperplasia, and endometrioid carcinoma. The expression of S100P in endometrial cancer and its precancerous lesions was observed using immunohistochemistry. We also cultured primary endometrial cells and endometrial cancer cell lines (Ishikawa and RL95–2), and observed the expression of S100P in these cells. Laser confocal microscopy was used to observe the co-localization of S100P and its interacting protein Ezrin in RL95–2 cells. We employed lentiviruses to knockdown and overexpress S100P and then detected the F-actin distribution and cell invasion using phalloidin staining and Transwell assays. Results There was a gradual increase in the S100P signal as the disease progressed from normal endometrium and simple non-atypical hyperplasia, to complex non-atypical hyperplasia, atypical hyperplasia, and then to endometrial cancer. S100P was mainly distributed in the cytoplasm and co-localized with Ezrin in endometrial cancer cells. After knocking down S100P, F-actin aggregated in the nucleus or to the local cell membrane. Furthermore, knockdown of S100P in Ishikawa cells decreased their cell invasion capability. Meanwhile, S100P overexpression in endometrial stromal cells increased cell invasion. Conclusions These data suggested that S100P might be involved in the occurrence and development of endometrial cancer via interaction with Ezrin and re-organization of F-actin to promote cell invasion.

5-Hydroxymethylated Biomarkers in Cell-Free DNA Predict Occult Colorectal Cancer up to 36 Months Before Diagnosis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial

PURPOSE Using the prostate, lung, colorectal, and ovarian (PLCO) Cancer Screening Trial samples, we identified cell-free DNA (cfDNA) candidate biomarkers bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that detected occult colorectal cancer (CRC) up to 36 months before clinical diagnosis. MATERIALS AND METHODS We performed the 5hmC-seal assay and sequencing on ≤8 ng cfDNA extracted from PLCO study participant plasma samples, including n = 201 cases (diagnosed with CRC within 36 months of blood collection) and n = 401 controls (no cancer diagnosis on follow-up). We conducted association studies and machine learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio. RESULTS We successfully obtained 5hmC profiles from these decades-old samples. A weighted Cox model of 32 5hmC-modified gene bodies showed a predictive detection value for CRC as early as 36 months before overt tumor diagnosis (training set AUC, 77.1% [95% CI, 72.2 to 81.9] and validation set AUC, 72.8% [95% CI, 65.8 to 79.7]). Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and race/ethnicity, and significantly outperformed risk factors such as age and obesity (assessed as BMI). Finally, when splitting cases at median weighted prediction scores, Kaplan-Meier analyses showed significant risk stratification for CRC occurrence in both the training set (hazard ratio, [HR], 3.3 [95% CI, 2.6 to 5.8]) and validation set (HR, 3.1 [95% CI, 1.8 to 5.8]). CONCLUSION Candidate 5hmC biomarkers and a scoring algorithm have the potential to predict CRC occurrence despite the absence of clinical symptoms and effective predictors. Developing a minimally invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient outcomes.

METTL3‐mediated NFAT5 Upregulation Promotes Cervical Cancer Progression Through Enhancing the Mitochondrial Function by Transcriptional Regulation of PRDX1

ABSTRACTNuclear factor of activated T‐cells 5 (NFAT5) is recognized as an oncogene in a variety of tumors. However, the role of NFAT5 in cervical cancer (CC) cell phenotypic alterations remains to be elucidated. Here, we demonstrated that NFAT5 expression was elevated in CC samples and cells using quantitative real‐time reverse transcription PCR, Western blot analysis, and immunohistochemistry assays, and high NFAT5 expression showed a poor prognosis. After C‐33A cells were transfected with pcDNA‐NFAT5 or NFAT5‐short hairpin RNA (shRNA), cell proliferation, invasion, and apoptosis were evaluated using CCK‐8 and EdU assays, transwell assays, and flow cytometry, respectively. Biomarkers indicating mitochondrial function, including the expression of the d‐loop, ATP levels, and mitochondrial membrane potential, were detected. NFAT5 knockdown restrained cell proliferation and invasion, impaired mitochondrial function, and increased the ratio of cell apoptosis; however, NFAT5 overexpression showed the opposite results. RNA immunoprecipitation (RIP) and methylated RIP (MeRIP) assays were performed to identify interactions among NFAT5, methyltransferase‐like 3 (METTL3), and insulin‐like growth factor 2 mRNA‐binding protein 3 (IGF2BP3). Chromatin immunoprecipitation and dual‐luciferase reporter gene assays demonstrated that NFAT5 binds to the peroxiredoxin 1 (PRDX1) promoter to drive PRDX1 transcription. METTL3 enhanced NFAT5 mRNA stability through IGF2BP3‐mediated N6‐Methyladenosine (m6A) modification, and NFAT5 transcriptionally regulated PRDX1 expression. Moreover, the reintroduction of METTL3 or PRDX1 promoted cell growth and mitochondrial function damage in NFAT5‐silenced cells. In vivo experiments further demonstrated that NFAT5 promotes CC tumor growth. Taken together, NFAT5 upregulation mediated by the METTL3/IGF2BP3 complex in an m6A‐dependent manner facilitates CC cell growth by transcriptionally regulating PRDX1 expression, providing a novel target for CC therapy.

MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype

DNA methylation, histone modifications, and miRNAs affect ovarian cancer (OC) progression and therapy response. Identification of epigenetically downregulated miRNAs in drug-resistant OC cell lines with a possible role in drug resistance and/or drug-induced mesenchymal-like phenotype. MiRNA profiling was performed on parental and carboplatin-resistant OC cells, MES-OV and MES-OV CBP. RT-qPCR validation, epigenetic modulation and other CBP-resistant OC cell lines were used to select miRNAs of interest. The integration of miRNA-predicted target genes and differentially expressed genes (DEGs), pathway and functional analysis were used for forecasting their biological role. Data mining was performed to determine their possible prognostic and predictive values. MiRNA profiling revealed 48 downregulated miRNAs in OC cells whose drug sensitivity and metastatic potential were impacted by epigenetic modulators. Of the fourteen selected, nine were validated as changed, and seven of these restored their expression upon treatment with epigenetic inhibitors. Only three had similar expression patterns in other OC cell lines. MiRNA-mRNA integrative analysis resulted in 56 target DEGs. Pathway analysis revealed that these genes are involved in cell adhesion, migration, and invasion. The functional analysis confirmed the role of miR-103a-3p, miR-17-5p and miR-107 in cell invasion, while data mining showed their prognostic and predictive values. Only miR-103a-3p was epigenetically regulated at the constitutive level. High throughput miRNA and cDNA profiling coupled with pathway analysis and data mining delivered evidence for miRNAs which can be epigenetically regulated in drug-resistant, mesenchymal-like OC cells as possible markers to combat therapy-induced short overall survival and tumor metastatic potential.

6,12-Diphenyl-3, 9-diazatetraasterane-1, 5, 7, 11-tetracarboxylate Inhibits Proliferation, Migration and Promotes Apoptosis in Ovarian Cancer Cells

6,12-Diphenyl-3,9-diazatetraasterane-1, 5, 7, 11-tetracarboxylate (DDTC) has been synthesized by the photodimerization of 4-phenyl-1,4-dihydropyridine-3,5-dicarboxylate. The potential of theercvantitumor activity and mechanism were investigated in vitro using MTT assay in human lung cancer cell line A549, ovarian cancer cell lines SKOV3 and A2780, breast cancer cell line MCF-7, gastric cancer cell line BGC-823, colon cancer cell line HT29, prostate cancer cell line DU145, and liver cancer cell line SMMC7721. The results show that DDTC can inhibit the growth of ovarian cancer SKOV3 and A2780 cells. The best IC 50 value is approximately 5.29 ± 0.38 and 4.29 ± 0.39   μ M, respectively. DDTC induced the cell cycle arrest in the G2 phase by flow cytometric analysis. The migration and invasion of ovarian cancer SKOV3 and A2780 cells were inhibited by DDTC. DDTC could increase the expression protein level of E-cadherin in A2780 cells and ascend the expression protein and mRNA levels of E-cadherin in SKOV3 cells. DDTC could also decrease the protein and mRNA expression of EMT (epithelial-to-mesenchymal transition) markers of N-cadherin and Vimentin. mRNA and protein expression level of checkpoint kinase 1 (Chk1) were significantly increased and expressions of cyclin-dependent kinase (CDK1) and cell division cycle 25a (Cdc25a) were decreased in the SKOV3 and A2780 cell lines. Moreover, DDTC induced apoptosis by the cleavage and activation of caspase 3 and caspase 9.

A phase II trial of cytoreductive surgery combined with niraparib maintenance in platinum-sensitive, secondary recurrent ovarian cancer: SGOG SOC-3 study

In China, secondary cytoreductive surgery (SCR) has been widely used in ovarian cancer (OC) over the past two decades. Although Gynecologic Oncology Group-0213 trial did not show its overall survival benefit in first relapsed patients, the questions on patient selection and effect of subsequent targeting therapy are still open. The preliminary data from our pre-SOC1 phase II study showed that selected patients with second relapse who never received SCR at recurrence may still benefit from surgery. Moreover, poly(ADP-ribose) polymerase inhibitors (PARPi) maintenance now has been a standard care for platinum sensitive relapsed OC. To our knowledge, no published or ongoing trial is trying to answer the question if patient can benefit from a potentially complete resection combined with PARPi maintenance in OC patients with secondary recurrence. SOC-3 is a multi-center, open, randomized, controlled, phase II trial of SCR followed by chemotherapy and niraparib maintenance vs chemotherapy and niraparib maintenance in patients with platinum-sensitive second relapsed OC who never received SCR at recurrence. To guarantee surgical quality, if the sites had no experience of participating in any OC-related surgical trials, the number of recurrent lesions evaluated by central-reviewed positron emission tomography-computed tomography image shouldn't be more than 3. Eligible patients are randomly assigned in a 1:1 ratio to receive either SCR followed by 6 cycles of platinum-based chemotherapy and niraparib maintenance or 6 cycles of platinum-based chemotherapy and niraparib maintenance alone. Patients who undergo at least 4 cycles of chemotherapy and must be, in the opinion of the investigator, without disease progression, will be assigned niraparib maintenance. Major inclusion criteria are secondary relapsed OC with a platinum-free interval of no less than 6 months and a possibly complete resection. Major exclusion criteria are borderline tumors and non-epithelial ovarian malignancies, received debulking surgery at recurrence and impossible to complete resection. The sample size is 96 patients. Primary endpoint is 12-month non-progression rate. ClinicalTrials.gov Identifier: NCT03983226.

Cysteine-Rich Intestinal Protein 1 Served as an Epithelial Ovarian Cancer Marker via Promoting Wnt/β-Catenin-Mediated EMT and Tumour Metastasis

Objective. To explore the expression, functions, and the possible mechanisms of cysteine-rich intestinal protein 1 (CRIP1) in epithelial ovarian cancer. Methods. Using open microarray datasets from The Cancer Genome Atlas (TCGA), we identified the tumorigenic genes in ovarian cancer. Then, we detected CRIP1 expression in 26 pairs of epithelial ovarian cancer tissue samples by immunohistochemistry (IHC) and performed a correlation analysis between CRIP1 and the clinicopathological features. In addition, epithelial ovarian cancer cell lines A2780 and OVCAR3 were used to examine CRIP1 expression by western blot and qRT-PCR. Various cell function experiments related to tumorigenesis were performed including the CCK8 assay, EdU, Annexin V-FITC/PI apoptosis assay, wound healing, and Transwell assay. In addition, the expression of epithelial-mesenchymal transition (EMT) markers was detected by western blot to illustrate the relationship between CRIP1 and EMT. Furthermore, KEGG pathway enrichment analysis and western blot were conducted to reveal the signaling pathways in which CRIP1 is involved in ovarian cancer pathogenesis. Results. CRIP1 was identified as an oncogene from the TCGA database. The IHC score demonstrated that the CRIP1 protein was expressed at a higher level in tumours than in tumour-adjacent tissues and was associated with a higher pathological stage, grade, and positive lymphatic metastasis. In cell models, CRIP1 was overexpressed in serous epithelial ovarian cancer. Cell function experiments showed that the knockdown of CRIP1 did not significantly affect cell proliferation or apoptosis but could exert an inhibitory effect on cell migration and invasion, and also induce changes in EMT markers. Furthermore, KEGG pathway enrichment analysis and western blot showed that CRIP1 could induce ovarian cancer cell metastasis through activation of the Wnt/β-catenin pathway. Conclusion. This study is the first to demonstrate that CRIP1 acts as an oncogene and may promote tumour metastasis by regulating the EMT-related Wnt/β-catenin signaling pathway, suggesting that CRIP1 may be an important biomarker for ovarian cancer metastasis and progression.

The Mechanism of Xiaoyao San in the Treatment of Ovarian Cancer by Network Pharmacology and the Effect of Stigmasterol on the PI3K/Akt Pathway

Purpose. This study was aimed at exploring the regulatory mechanism of Xiaoyao San (XYS) and its main compound, Stigmasterol, in the biological network and signaling pathway of ovarian cancer (OC) through network pharmacology-based analyses and experimental validation. Methods. The active compounds and targets of XYS were studied by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The GeneCards and OMIM databases were used to screen common targets of XYS in the treatment of OC. Combined with the STRING database and Cytoscape 3.6.0, the core compounds and targets of XYS were obtained. GO and KEGG pathway enrichment analyses of core target genes were carried out by using the Metascape and DAVID databases. Molecular docking has been achieved by using the AutoDock Vina program to discuss the interaction of the core targets and compounds of XYS in the treatment of OC. The effect of Stigmasterol on proliferation and migration were assessed by CCK8 and wound healing assay. Western blot and qRT-PCR were used to analyze the protein and mRNA expressions of PI3K, Akt, and PTEN after treatment of Stigmasterol. Results. A total of 113 common targets of XYS for the treatment of OC were obtained from 975 targets related to OC and 239 targets of XYS’s effect. The main compounds of XYS include Quercetin, Naringenin, Isorhamnetin, and Stigmasterol, which mainly regulate the targets such as TP53, Akt1, and MYC and PI3K/Akt, p53, and cell cycle signal pathways. At the same time, molecular docking showed that Stigmasterol and Akt1 had good docking conformation. Stigmasterol inhibited OC cell proliferation and migration in vitro and reduced the protein and mRNA expressions of the PI3K/Akt signaling pathway. Conclusion. Stigmasterol as the one of the main compounds of XYS suppresses OC cell activities through the PI3K-Akt signaling pathway.

Cellular models of development of ovarian high‐grade serous carcinoma: A review of cell of origin and mechanisms of carcinogenesis

AbstractHigh‐grade serous carcinoma (HGSC) is the most common and malignant histological type of epithelial ovarian cancer, the origin of which remains controversial. Currently, the secretory epithelial cells of the fallopian tube are regarded as the main origin and the ovarian surface epithelial cells as a minor origin. In tubal epithelium, these cells acquire TP53 mutations and expand to a morphologically normal ‘p53 signature’ lesion, transform to serous tubal intraepithelial carcinoma and metastasize to the ovaries and peritoneum where they develop into HGSC. This shifting paradigm of the main cell of origin has revolutionarily changed the focus of HGSC research. Various cell lines have been derived from the two cellular origins by acquiring immortalization via overexpression of hTERT plus disruption of TP53 and the CDK4/RB pathway. Malignant transformation was achieved by adding canonical driver mutations (such as gain of CCNE1) revealed by The Cancer Genome Atlas or by noncanonical gain of YAP and miR181a. Alternatively, because of the extreme chromosomal instability, spontaneous transformation can be achieved by long passage of murine immortalized cells, whereas in humans, it requires ovulatory follicular fluid, containing regenerating growth factors to facilitate spontaneous transformation. These artificially and spontaneously transformed cell systems in both humans and mice have been widely used to discover carcinogens, oncogenic pathways and malignant behaviours in the development of HGSC. Here, we review the origin, aetiology and carcinogenic mechanism of HGSC and comprehensively summarize the cell models used to study this fatal cancer having multiple cells of origin and overt genomic instability.

Curcumin suppressed the proliferation and apoptosis of HPV‐positive cervical cancer cells by directly targeting the E6 protein

AbstractMost human papillomavirus (HPV) types, including HPV16 and HPV18, are closely related to the occurrence of cervical cancer, predominantly through the action of viral oncoproteins E6 and E7. Curcumin, the active ingredient of the turmeric plant, has been gaining attention over the past two decades as an antioxidant, anti‐inflammatory, and anticancer agent. In the present study, the HPV‐positive cervical cancer cells HeLa and CaSki were treated with curcumin, and the results showed that curcumin has a dose‐dependent and time‐dependent inhibitory effect on cell viability. In addition, apoptosis induction was further quantitatively confirmed through flow cytometric analysis. Furthermore, the influence of different concentrations of curcumin on the mitochondrial membrane potential was evaluated through JC‐1 staining and found to dramatically decrease the membrane potential in treated HeLa and CaSki cells, suggesting the critical role of the mitochondrial pathway in their apoptosis‐inducing effect. This study also demonstrated the wound‐healing potential of curcumin, and the results of transwell assays showed that curcumin treatment inhibited HeLa and CaSki cell invasion and migration in a dose‐dependent manner compared with the control treatment. Curcumin also downregulated the expression of Bcl‐2, N‐cadherin, and Vimentin and upregulated the expression of Bax, C‐caspase‐3, and E‐cadherin in both cell lines. Further research showed that curcumin also selectively inhibited the expression of the viral oncoproteins E6 and E7, as demonstrated by western blot analysis; moreover, the downregulation of E6 was more significant than that of E7. Our research also showed that coculture with cells infected with siE6 lentivirus (siE6 cells) can inhibit the proliferation, invasion, and metastasis of HPV‐positive cells. While the siE6 cells were also treated with curcumin, the effect of curcumin monotherapy was offset. In summary, our research shows that curcumin regulates the apoptosis, migration, and invasion of cervical cancer cells, and the mechanism may be related to its ability to downregulate E6. This study provides a foundation for future research on the prevention and treatment of cervical cancer.

Analysis of the Incidence and Risk Factors Influencing Postoperative Complications in Patients with Gynecological Malignancies: A Retrospective Study

Perioperative patient complications are a global concern for patient safety. Few studies have systematically evaluated the factors associated with complications during the perioperative period of gynecologic malignancies from a nursing or caregiving perspective. Therefore, this study aimed to investigate the incidence and risk factors of postoperative complications in patients with gynecological malignancies from a holistic care perspective. This retrospective study included 3,372 patients from the information system of a university-affiliated teaching hospital in China, with data collected from October 1, 2018, to September 30, 2023. A nomogram was constructed based on the predictive factors. Its goodness-of-fit was examined using the Hosmer-Lemeshow test, and calibration curves were used for internal evaluation. The clinical utility of the nomogram was quantified using clinical decision curve analysis. The incidence of postoperative complications in patients with gynecological malignancies was 13.0%. Nomograms constructed based on employment status, intraoperative warming, blood and fluid loss, cancer type, and cancer stage were bootstrap-corrected with a consistency index of .63. The calibration curves showed good agreement between predicted and actual probabilities. The net benefit of screening all patients based on the nomogram was greater than no screening when the risk of complications was 5.0-30.0%. Gynecological malignancies are associated with a high incidence of postoperative complications. Employment status, intraoperative warming, bleeding and rehydration fluid, cancer type, and cancer stage are independent risk factors for these complications, and their incidence can be predicted using the nomogram. The results of this study highlight the important role of nursing strategies in preventing complications. These findings have important implications for clinical nursing intervention and decision-making.

79Works
23Papers
79Collaborators
1Trials
Breast NeoplasmsLung NeoplasmsNeoplasmsCell Line, TumorPrognosisOvarian NeoplasmsTumor MicroenvironmentTumor Suppressor p53-Binding Protein 1

Positions

2023–

Associate Professor and Graduate Program Director

University of Central Florida · Computer Science

2017–

Assistant Professor

University of Central Florida · Computer Science

2015–

Research Associate

University of Minnesota · Computer Science and Engineering

2014–

Research Intern

Millennium Pharmaceuticals Inc · Transnational Medicine

Education

2015

PhD

University of Minnesota · Computer Science and Engineering

2011

MS

University of Minnesota · Computer Science and Engineering

2009

Undergraduate Exchange Program

Winona State University · Computer Science

Country

CN

Keywords
Computational BiologyMachine LearningCancer Biology
Links & IDs
0000-0003-3605-9373

Scopus: 57209248252