Knockdown of miR-24 Suppressed the Tumor Growth of Cervical Carcinoma Through Regulating PTEN/PI3K/AKT Signaling Pathway.

Cervical cancer (CC) is the most prevalent malignant tumor in gynecology. Despite routine surgery, advanced CC is hard to remove completely. MicroRNA-24 (miR-24) regulates several types of tumors, but its regulatory function in CC was previously unknown. We established stable knockdown of miR-24 and phosphatase and tensin homolog (PTEN) in CC cells. We measured mRNA and protein expression with RT-PCR and western blotting. We evaluated cell proliferation, invasion, migration, and apoptosis with CCK8, Transwell, wound healing, and flow cytometry, respectively. We also examined the influence of miR-24 and PTEN on tumor growth in a metastatic tumor model in nude mice. The expression of miR-24 was significantly increased in CC tissues and cell lines (C-33A, HeLa S3, SiHa). MiR-24 inhibitor greatly suppressed PTEN/PI3K/AKT, while miR-24 mimic markedly activated this signaling pathway. Knockdown of PTEN significantly reversed the effects of miR-24 inhibitor on cell proliferation, invasion, migration, and apoptosis of CC cells. The significant inhibition effect of tumor growth and ki67 expression caused by miR-24 inhibitor was reversed by si-PTEN. MiR-24 inhibitor significantly suppressed cell proliferation, invasion, migration, epithelial-mesenchymal transition (EMT) process, and tumor growth, while promoting cell apoptosis. However, the influence of miR-24 inhibitor was markedly reversed by si-PTEN. Targeting miR-24 could provide a novel therapeutic strategy for the prevention and treatment of CC.

Down-regulation of miR-424 inhibited the metastasis of endometrial carcinoma via targeting PTEN/PI3K/AKT signaling pathway.

Background: The incidence of endometrial carcinoma (EC) has been increasing annually, and treatment of advanced cases remains challenging. MicroRNA-424 (miR-424) was reported to affect several types of tumors, but its role in EC has not been studied. Methods: We generated transient knockdown models of miR-424 and PTEN in EC cells. We measured mRNA and protein expression using RT-PCR and western blotting. We evaluated cell proliferation, invasion, migration, and apoptosis using CCK8, Transwell, wound healing, and flow cytometry assays. We also investigated the effect of miR-424 and PTEN on tumor growth using a metastatic tumor model in nude mice. Results: The expression of miR-424 was significantly elevated in EC tissues and cell lines. MiR-424 inhibitor significantly restrained PTEN/PI3K/AKT signaling, while miR-424 mimic activated this pathway. Knockdown of PTEN significantly reversed the effects of miR-424 inhibitor on cell proliferation, invasion, migration, and apoptosis in EC cells. The significant inhibition of tumor growth and ki67 expression caused by miR-424 inhibitor were markedly promoted by sh-PTEN. Conclusions: Our findings suggest that miR-424 inhibitor could inhibit cell proliferation, invasion, migration, epithelial-mesenchymal transition (EMT) process, and tumor growth, while promoting apoptosis in EC. However, the effects of miR-424 inhibitor were markedly reversed by sh-PTEN. This study provides a potential novel therapeutic strategy for the prevention and treatment of EC by targeting miR-424.

Prognostic value of apparent diffusion coefficient in neuroendocrine carcinomas of the uterine cervix.

Objectives: This research was designed to examine the associations between the apparent diffusion coefficient (ADC) values and clinicopathological parameters, and to explore the prognostic value of ADC values in predicting the International Federation of Gynecology and Obstetrics (FIGO) stage and outcome of patients suffering from neuroendocrine carcinomas of the uterine cervix (NECCs). Methods: This retrospective study included 83 patients with NECCs, who had undergone pre-treatment magnetic resonance imaging (MRI) between November 2002 and June 2019. The median follow-up period was 50.7 months. Regions of interest (ROIs) were drawn manually by two radiologists. ADC values in the lesions were calculated using the Functool software. These values were compared between different clinicopathological parameters groups. The Kaplan-Meier approach was adopted to forecast survival rates. Prognostic factors were decided by the Cox regression method. Results: In the cohort of 83 patients, nine, 42, 23, and nine patients were in stage I, II, III, and IV, respectively. ADCmean, ADCmax, and ADCmin were greatly lower in stage IIB-IVB than in stage I-IIA tumours, as well as in tumours measuring ≥ 4 cm than in those < 4 cm. ADCmean, FIGO stage, and age at dianosis were independent prognostic variables for the 5-year overall survival (OS). ADCmin, FIGO stage, age at diagnosis and para-aortic lymph node metastasis were independent prognostic variables for the 5-year progression-free survival (PFS) in multivariate analysis. For surgically treated patients (n = 45), ADCmax was an independent prognostic parameter for both 5-year OS and 5-year PFS. Conclusions: ADCmean, ADCmin, and ADCmax are independent prognostic factors for NECCs. ADC analysis could be useful in predicting the survival outcomes in patients with NECCs.

Lymphatic leakage after pelvic lymphadenectomy for cervical cancer: a retrospective case-control study.

BACKGROUND: The study aims to evaluate the clinical features and management of postoperative lymphatic leakage (PLL) in patients with cervical cancer who received pelvic lymphadenectomy. METHODS: This retrospective study screened consecutive patients with cervical cancer (stage Ia2-IIb). RESULTS: Among 3427 cases screened, 63 patients (1.8%) were diagnosed with PLL, which manifested as persistent abdominal drainage (42/63, 66.7%), chylous ascites (12/63, 19.0%) or vaginal drainage (9/63, 14.3%). Median time from surgery to onset of PLL was 6 days (range, 4-21 days). All cases resolved in a median 10 days (range, 3-56 days) after conservative treatment; although one case experienced recurrence of vaginal drainage after 26 days, this also resolved after conservative therapy. Multivariate analysis showed that two cycles of neoadjuvant chemotherapy (odds ratio [OR], 3.283; 95% confidence interval [95%CI], 1.289-8.360; P = 0.013), a decrease in hemoglobin level of ≥20 and < 30 g/L (OR, 6.175; 95%CI, 1.033-10.919; P = 0.046) or ≥ 30 g/L (OR, 8.467; 95%CI, 1.248-17.426; P = 0.029), and postoperative albumin level ≥ 30 and < 35 g/L (OR, 2.552; 95%CI, 1.112-5.857; P = 0.027) or < 30 g/L (OR, 5.517; 95%CI, 2.047-18.148; P = 0.012) were associated with PLL. CONCLUSION: Neoadjuvant chemotherapy, postoperative anemia and postoperative hypoproteinemia are risk factors for PLL.

Prognostic factors and treatment of neuroendocrine tumors of the uterine cervix based on the FIGO 2018 staging system: a single-institution study of 172 patients.

OBJECTIVE: This study aimed to explore the prognostic factors and outcomes of patients with neuroendocrine tumors (NETs) of the cervix and to determine appropriate treatment. METHODS: A single-institution retrospective analysis of 172 patients with NETs was performed based on the new International Federation of Gynecology and Obstetrics (FIGO 2018) staging system. RESULTS: Among the 172 eligible patients, 161 were diagnosed with small cell neuroendocrine carcinoma (SCNEC), six with large cell neuroendocrine carcinoma, four with typical carcinoid tumors and one with SCNEC combined with an atypical carcinoid tumor. According to the FIGO 2018 staging guidelines, 31 were stage I, 66 were stage II, 57 were stage III, and 18 were stage IV. The 5-year survival rates of patients with stage I-IV disease were 74.8%, 56.2%, 41.4% and 0%, respectively. The 5-year progression-free survival rates of patients with stage I-IV disease were 63.8%, 54.5%, 30.8% and 0%, respectively. In the multivariate analysis, advanced FIGO stage, large tumor and older age were identified as independent variables for 5-year survival in patients with stage I-IV disease. FIGO stage, tumor size and para-aortic lymph node metastasis were independent prognostic factors for 5-year progression-free survival in patients with stage I-IV disease. For the patients receiving surgery (n = 108), tumor size and pelvic lymph node metastasis were independent prognostic factors for 5-year survival, and pelvic lymph node metastasis for 5-year progression-free survival. In stage IVB, at least six cycles of chemotherapy (n = 7) was associated with significantly better 2-year OS (83.3% vs. 9.1%, p < 0.001) and 2-year PFS (57.1% vs. 0%, p = 0.01) than fewer than six cycles of chemotherapy(n = 11). CONCLUSION: Advanced FIGO stage, large tumor, older age and lymph node metastasis are independent prognostic factors for NETs of the cervix. The TP/TC and EP regimens were the most commonly used regimens, with similar efficacies and toxicities. Standardized and complete multimodality treatment may improve the survival of patients with NETs.

Development and validation of a novel mRNA signature for predicting early relapse in non-small cell lung cancer.

BACKGROUND: Recurrence after initial primary resection is still a major and ultimate cause of death for non-small cell lung cancer patients. We attempted to build an early recurrence associated gene signature to improve prognostic prediction of non-small cell lung cancer. METHODS: Propensity score matching was conducted between patients in early relapse group and long-term survival group from The Cancer Genome Atlas training series (N = 579) and patients were matched 1:1. Global transcriptome analysis was then performed between the paired groups to identify tumour-specific mRNAs. Finally, using LASSO Cox regression model, we built a multi-gene early relapse classifier incorporating 40 mRNAs. The prognostic and predictive accuracy of the signature was internally validated in The Cancer Genome Atlas patients. RESULTS: A total of 40 mRNAs were finally identified to build an early relapse classifier. With specific risk score formula, patients were classified into a high-risk group and a low-risk group. Relapse-free survival was significantly different between the two groups in both discovery (HR: 3.244, 95% CI: 2.338-4.500, P < 0.001) and internal validation series (HR 1.970, 95% CI 1.181-3.289, P = 0.009). Further analysis revealed that the prognostic value of this signature was independent of tumour stage, histotype and epidermal growth factor receptor mutation (P < 0.05). Time-dependent receiver operating characteristic analysis showed that the area under receiver operating characteristic curve of this signature was higher than TNM stage alone (0.771 vs 0.686, P < 0.05). Further, decision curve analysis curves analysis at 1 year revealed the considerable clinical utility of this signature in predicting early relapse. CONCLUSIONS: We successfully established a reliable signature for predicting early relapse in stage I-III non-small cell lung cancer.