Objective To explore the expression levels of CD33⁺ myeloid-derived suppressor cell (MDSC)-mediated T lymphocyte function and related inflammatory factors secreted by T lymphocyte subsets in patients with cervical cancer, and to analyze their correlation with the treatment efficacy of ¹²⁵I particle implantation combined with arterial chemoembolization, as well as predictive value for treatment outcomes and interaction effects. Methods From January 1st, 2021 to January 1st, 2024, our hospital admitted 152 patients with advanced cervical cancer, who were confirmed by pathological examination. All patients received uterine artery chemoembolization combined with ¹²⁵I particle implantation. The predictive value of CD33⁺MDSC levels for clinical treatment response in cervical cancer was assessed using receiver operating characteristic (ROC) curve analysis. Multivariate logistic regression analysis was performed to evaluate both multiplicative and additive interactions between CD33⁺MDSC and T lymphocytes in predicting clinical treatment failure of cervical cancer. Kaplan Meier method was used to analyze the survival differences between cervical cancer patients with high and low CD33⁺MDSC expression levels. Results Compared with the effective group, patients in the ineffective group had decreased expression levels of CD3⁺ T lymphocyte, CD4⁺ T lymphocyte, interleukin 2 (IL-2) and interferon γ (IFN-γ), while showing increased expression levels of CD33⁺MDSC, CD8⁺ T lymphocyte, IL-4 and IL-6, along with increased tumor necrosis factor α (TNF-α) levels, larger maximum tumor diameters, and a higher incidence of lymph node metastasis. The expression levels of CD33⁺MDSCs demonstrated good predictive performance for treatment efficacy in cervical cancer patients. The high CD33⁺MDSC expression group had a significantly shorter overall survival (OS) than the low CD33⁺MDSC expression group (6.0±1.0 months vs. 12.0±1.2 months; t=33.280). The interaction analysis revealed that CD33⁺MDSCs and CD8⁺ T lymphocytes were highly expressed, while CD3⁺ and CD4⁺ T lymphocytes were lowly expressed, which was associated with an increased risk of clinical treatment failure in cervical cancer patients. Conclusion CD33⁺MDSCs can inhibit CD3⁺ and CD4⁺ T lymphocytes. It can upregulate the expression of CD8⁺ T lymphocytes, form an immunosuppressive microenvironment, and reduce the treatment response rate of ¹²⁵I particle implantation combined with arterial chemoembolization. CD33⁺MDSCs may serve as an independent biomarker for predicting the therapeutic efficacy and poor prognosis.
Humans ; Female ; Uterine Cervical Neoplasms/immunology* ; Middle Aged ; Chemoembolization, Therapeutic/methods* ; Sialic Acid Binding Ig-like Lectin 3/immunology* ; Adult ; T-Lymphocytes/immunology* ; Aged ; Treatment Outcome

Objective To investigate the risk factors of uterine artery embolization(UAE)in treating cesarean scar pregnancy(CSP),and to construct a nomogram prediction model used for providing a basis for individualized treatment.Methods The clinical data of 305 CSP patients,who were admitted to the Shanxi Bethune Hospital from January 2014 to June 2023,were retrospectively analyzed.Multivariate logistic regression was used to analyze the independent risk factors for UAE in patients with CSP,based on which a risk prediction model was constructed.R language was used to draw a nomogram.The receiver operating characteristic(ROC)curve was used to evaluate the predictive power of the model.The model was verified and calibrated,and the decision curve analysis(DCA)curve was drawn to analyze its clinical utility.Results Of the 305 CSP patients,88(28.85％)received interventional operation and 217(71.15％)did not receive interventional operation.Univariate and multivariate analysis showed that gestational sac diameter(OR=1.062,95％CI=1.034-1.091,P=0.001),abdominal pain(OR=0.179,95％CI=0.085-0.379,P=0.001),residual muscle thickness(OR=6.532,95％CI=3.271-13.043,P=0.001),were the independent risk factor for UAE in CSP patients(P＜0.05).The following risk prediction model was established:h(t,X)=h0(t)exp(-1.718X1+1.877X2+0.061X3),which was presented as a nomogram.ROC curve analysis indicated that the overall prediction efficiency of the model was better than that of a single risk factor,and the Hosmer-Lemeshow test of the model had a better fit degree.The consistency index(C-index)was 0.828,suggesting that this model had good discrimination ability.After correction by the Bootstrap method,this model had a relatively high prediction accuracy.DCA curve evaluation revealed that this model had good clinical utilization value.Conclusion The nomogram of the risk prediction model,which is constructed based on the presence or absence of abdominal pain,gestational sac diameter and residual muscle thickness,has high accuracy and differentiation with a good consistency.This model has good clinical utilization value and it can be used to predict and evaluate whether a patient with CSP is at risk of UAE.

Objective To investigate the effects of human papilloma virus 16 E6 (HPV16 E6) on endoplasmic reticulum (ER) stress-autophagic response in the cervical cancer C33A cells.Methods Polymerase chain reaction was used for detecting the integration of HPV DNA.The eukaryotic expression vector of HPV16 E6 was constructed and transfected via lipofectamine into C33A cells.Experimental cells were classified into 3 groups:pcDNA3.1--HPV16 E6 group,pcDNA 3.1-group and C33A group.Western blot was used to measure expression of protein of HPV16 E6,Beclin 1,LC3 Ⅱ,IRE1,PERK and ATF6 in transfected cells.Results here was no HPV DNA integration in C33A cells that were confirmed as the intervention cells.Eukaryotic expression vector pcDNA3.1--HPV16 E6 was constructed successfully.The eukaryotic expression vector pcDNA3.1--HPV16 E6 significantly improved the expression of protein of HPV 16 E6 in C33A cells.The protein expression of Beclin 1,LC3 Ⅱ,IRE1,PERK and ATF6 were significantly improved after transfection with vector pcDNA3.1 +-HPV16 E6 (P ＜ 0.05).Furthermore,LC3 Ⅱ protein level was reduced by treatment with ER stress inhibitor.Conclusion HPV16 E6 can improve autophagy through the ER stress pathway,and this response may play an important role in the process of HPV16 E6 inducing cervical cancer,providing one of the new strategies for gene therapy of cervical carcinoma.

Objective To investigate the inhibitory effects and the mechanism of autophagy gene beclin 1 on cervical cancer HeLa cells. Methods The eukaryotic expression vector and short hairpin RNA (shRNA) expression vector of beclin 1 were transfected via lipofectamine into HeLa cells. Experimental cells were classified into 5 groups: pcDNA3. 1 ( + )-beclin 1 group, pSUPER-beclin 1 group, pcDNA3.1 ( + )group, pSUPER group and HeLa group. Real time-PCR and western blot were used for detecting expression of mRNA and protein of beclin 1 and caspase-9 in transfected cells. Flow cytometry was employed to observe the effect of transfection on the apoptosis, and autophagy of HeLa, while proliferation was analyzed by methyl thiazolyl tetrazolium (MTT) assay. The ultrastructural analysis of autophagic vacuoles was under the electron microscope. Five groups cells were seeded subcutaneously on nude mice. The carcinogenic and growth activities of cancer cells in vivo were observed, and immunohistochemistry was used to detect the protein expression of beclin 1 in tumor tissue. Results ( 1 ) The mRNA expression of beclin 1 and caspase-9: pcDNA3. 1 ( + )-beclin 1 group were 994.72 ±468.76 and 12. 88 ±2. 71, pSUPER-beclin 1 group were 0. 18 ± 0. 63 and 0. 11 ± 0. 08, pcDNA3. 1 ( + ) group were 0. 57 ± 0. 12 and 4. 28 ± 3. 25,pSUPER group were 0. 67 ± 0. 29 and 2. 77 ± 1.27, and HeLa group were 0. 74 ± 0. 25 and 3.67 ± 3.78,respectively. The eukaryotic expression vector pcDNA3. 1 ( + ) -beclin 1 significantly improved the expression of mRNA of beclin 1 and caspase-9 in HeLa cells( P ＜0. 05 ), and the shRNA expression vector inhibited the expression of mRNA of beclin 1 and caspase-9 ( P ＜ 0.05 ). (2) The cell proliferations: pcDNA3.1 ( + ) -beclin 1 vector significantly inhibited the growth of HeLa cells, while pSUPER-beclin 1 vector significantly improved the growth of HeLa cells(P ＜0. 05). (3) The rate of apoptosis: pcDNA3.1 ( + )-beclin 1 group was (28.2 ±2.3)%, pcDNA3. 1( + ) group was(14.6 ±4.6)%,pSUPER-beclin 1 group was(5.7 ±2. 0) %, pSUPER group was( 16. 2 ± 3.1 ) %, and HeLa group was( 11.2 ± 3. 0) %. The pcDNA3. 1 ( + ) -beclin 1 vector significantly increased the apoptosis rate, while the pSUPER-beclin 1 vector significantly decreased the apoptosis rate(P ＜0. 05 ). (4)The activity of autophagy: more autophagy cells were identified in pcDNA3.1( + )-beclin 1 group; the rate of autophagy of five group were( 10. 3 ± 1.5)% in pcDNA3. 1 ( + ) -beclin 1 group, ( 3.6 ± 0. 8 ) % in pcDNA3. 1 ( + ) group, ( 1.2 ± 0. 3 ) % in pSUPER-beclin 1 group, (3.2 ± 1.2)% in pSUPER group and (2.2 ± 1. 1)% in HeLa group, there was statistical significances between test groups and control groups( P ＜ . 05 ). (5)Carcinogenic activity of HeLa cells in nude mice: the duration of tumorigenesis was the longest in pcDNA3.1 ( + )-beclin 1 group and the shortest in pSUPER-beclin 1 group among all groups. The tumor size began to grow larger from 7th day after injection in pSUPER-beclin 1 group than in control groups( P ＜ 0. 05 ). The tumor size was smaller from 21st day after injection in pcDNA3.1( + )-beclin 1 group than in control groups(P ＜0. 05). From 28th day after injection,the tumor weigh was (0. 52 ± 0. 08 )g in pSUPER-beclin 1 group, apparently more than HeLa group (0. 37 ±0. 12) g and pSUPER group (0. 34 ± 0. 24 ) g ( P ＜ 0. 05 ). While in pcDNA3. 1 ( + )-beclin 1 group the tumor weighed (0. 18 ±0. 12) g, which was lower than HeLa group and pcDNA3. 1 ( + ) group (0. 34 ± 0. 18 ) g ( P ＜ 0. 05 ) . Conclusions Autophagy gene beclin 1 overexpression can inhibit proliferation and growth of HeLa cells in vitro and in vivo. Beclin 1 not noly participate in the regulation of autophagy signaling, but also play an important role in the regulation of endogenous apoptosis signaling through caspase-9. So it might be one of the new strategies for gene therapy of cervical carcinoma.

The shRNA expression vectors were constructed and transfected via lipofectamine into HeLa cells. Real time-ploymerase chain reaction (RT-PCR) and Western blot were used for detecting the expression of mRNA and protein of Beclin1 in transfected cells. Flow cytometry was employed to observe the effect of transfection on the apoptosis and cell cycle of HeLa, and proliferation was analyzed by MTT assay. The expression of caspase-9 in transfection cells was also detected by RT-PCR and Western blot. The constructed vectors significantly inhibited the expressin of mRNA and the protein of Beclin1 in HeLa cells. The growth of transfected cells was promoted, and less apoptosis cells were identified in these cells. After transfection of the constructed vectors into HeLa cells, the expression of caspase-9 was effectively inhibited. All of these indicate that autophagy and apoptosis are two types of programmed cell death, that autophagy gene Beclin 1 plays an important role in these two types, and that defect of autophagy and apoptosis may be important in tumor genesis.
Apoptosis ; genetics ; Apoptosis Regulatory Proteins ; genetics ; metabolism ; Autophagy ; genetics ; Beclin-1 ; Caspase 9 ; metabolism ; Down-Regulation ; Genetic Vectors ; HeLa Cells ; Humans ; Membrane Proteins ; genetics ; metabolism ; RNA Interference ; RNA, Messenger ; genetics ; RNA, Small Interfering ; genetics ; Transfection