Investigator

Zheng Li

研究生 · 西南医科大学附属中医医院, 西南医科大学

Research Interests

ZLZheng Li
Papers(3)
Development of the Cu…ZNF711 down-regulatio…Prognostic model for …
Collaborators(2)
Caixian YuYunwei Han
Institutions(3)
Southwest Medical Uni…First Affiliated Hosp…Affiliated Hospital O…

Papers

Development of the Curcumin Analog CA7 Liposome and Its Evaluation for Efficacy Against Cervical Cancer in vitro and in vivo

The objective of this study was to develop liposomes (LP) containing a curcumin (CU) analog CA7 to enhance its pharmacokinetic profile and anti-cervical cancer (CC) effects. Single-factor and Box-Behnken experiments were conducted to optimize the formulation of CA7-loaded liposomes (CA7-LP). The in vitro release, stability, biocompatibility, and pharmacokinetic of CA7-LP were evaluated. The biological effects of CA7-LP on Hela cells were assessed using MTT assays, colony formation assays, wound healing assays, and flow cytometry. Additionally, the anti-CC efficacy of CA7-LP was tested in mouse models of transplanted tumors. The optimal formulation of CA7-LP exhibited a particle size of 92.43 ± 1.52 nm, a polydispersity index of 0.27 ± 0.01, an encapsulation efficiency of 97.79 ± 1.49%, a drug loading of 3.23 ± 0.20%, and a zeta potential of -6.69 ± 0.77 mV. Transmission electron microscopy confirmed that a spherical morphology was exhibited by CA7-LP. The cumulative in vitro release of CA7-LP was found to be 2.84 times greater than that of CA7, and stability at room temperature was maintained for at least 90 d. Furthermore, a significantly higher uptake of CA7-LP by Hela cells was observed compared to curcumin and CA7, leading to enhanced inhibition of cell proliferation, migration and cell cycle, as well as increased apoptosis ( The newly developed CA7-LP is considered a promising candidate for the treatment of CC, demonstrating high potential for clinical application.

ZNF711 down-regulation promotes CISPLATIN resistance in epithelial ovarian cancer via interacting with JHDM2A and suppressing SLC31A1 expression

Resistance to platinum-based chemotherapy is a major cause of therapeutic failure during the treatment of epithelial ovarian cancer (EOC) patients. Our study aims to elucidate the molecular mechanisms by which ZNF711 down regulation promotes CISPLATIN resistance in EOC. ZNF711 expression in 150 EOC specimens was examined using immunohistochemistry. ZNF711 expression and the survival of EOC patients were assessed with a Kaplan-Meier analysis. The effects of ZNF711 expression on CDDP resistance were studied by IC50, Annexin V, and colony formation in vitro, and in an in vivo intra-peritoneal tumor model. The molecular mechanism was determined using a luciferase reporter assay, ChIP assay, CAPTURE approach, and co-IP assay. ZNF711 down-regulation exerts a great impact on CDDP resistance for EOC patients by suppressing SLC31A1 and inhibiting CDDP influx. ZNF711 down-regulation promoted, while ZNF711 overexpression drastically inhibited CDDP resistance, both in vivo and in vitro. Mechanistically, the histone demethylase JHDM2A was recruited to the SLC31A1 promoter by ZNF711 and decreased the H3K9me2 level, resulting in the activation of SLC31A1 transcription and enhancement of CDDP uptake. Importantly, co-treatment with the histone methylation inhibitor, BIX-01294, increased the therapeutic efficacy of CDDP treatment in ZNF711-suppressed EOC cells. These findings both verified the clinical importance of ZNF711 in CDDP resistance and provide novel therapeutic regimens for EOC treatment. This work was supported by the Natural Science Foundation of China; Guangzhou Science and Technology Plan Projects; Natural Science Foundation of Guangdong Province; The Fundamental Research Funds for the Central Universities; and China Postdoctoral Science Foundation.

Prognostic model for survival in patients with neuroendocrine carcinomas of the cervix: SEER database analysis and a single-center retrospective study

Objective Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze the clinicopathological factors associated with NECC patients and to develop a validated survival prediction model. Methods A total of 535 patients diagnosed with NECC between 2004 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER) database, while 122 patients diagnosed with NECC at Yunnan Cancer Hospital (YCH) from 2006 to 2019 were also recruited. Patients from the SEER database were divided into a training cohort (n = 376) and a validation cohort (n = 159) in a 7:3 ratio for the construction and internal validation of the nomogram. External validation was performed in a cohort at YCH. The Kaplan-Meier method was used for survival analysis, the Log-rank method test was used for univariate analysis of prognostic influences, and the Cox regression model was used for multivariate analysis. Results The 3-year and 5-year overall survival (OS) rates for patients with NECC in SEER were 43.6% and 39.7%, respectively. In the training cohort, multivariate analysis showed independent prognostic factors for NECC patients including race, tumor size, distant metastasis, stage, and chemotherapy (p<0.05). For extended application in other cohorts, a nomogram including four factors without race was subsequently created. The consistency index (C-index) of the nomogram predicting survival was 0.736, which was well-validated in the validation cohorts (0.746 for the internal validation cohort and 0.765 for the external validation cohort). In both the training and validation cohorts, the 3-year survival rates predicted by the nomogram were comparable to the actual ones. We then succeeded in dividing patients with NECC into high- and low-risk groups concerning OS using the nomogram we developed. Besides, univariate analysis showed that chemotherapy ≥4 cycles may improve the OS of patients at YCH with NECC. Conclusion We successfully constructed a nomogram that precisely predicts the OS for patients with NECC based on the SEER database and a large single-center retrospective cohort. The visualized and practical model can distinguish high-risk patients for recurrence and death who may benefit from clinical trials of boost therapy effectively. We also found that patients who received more than 4 cycles of chemotherapy acquired survival benefits than those who received less than 4 cycles.

26Works
3Papers
2Collaborators
Uterine Cervical NeoplasmsApoptosisXenograft Model Antitumor Assays

Positions

2023–

研究生

西南医科大学附属中医医院 · 西南医科大学

Education

2011

Ph.D.

Sun Yat-Sen University · cancer center

2006

M.D

Sun Yat-Sen University · medical school

Links & IDs
0009-0009-0493-7232

Researcher Id: B-3191-2017