Insulin-like growth factor (IGF) and hepatocyte growth factor (HGF) in follicular fluid cooperatively promote the oncogenesis of high-grade serous carcinoma from fallopian tube epithelial cells: Dissection of the molecular effects.

Incessant ovulation is believed to be a potential cause of epithelial ovarian cancer (EOC). Our previous investigations have shown that insulin-like growth factor (IGF2) and hepatocyte growth factor (HGF) in the ovulatory follicular fluid (FF) contributed to the malignant transformation initiated by p53 mutations. Here we examined the individual and synergistic impacts of IGF2 and HGF on enhancing the malignant properties of high-grade serous carcinoma (HGSC), the most aggressive type of EOC, and its precursor lesion, serous tubal intraepithelial carcinoma (STIC).

Study on the mechanism of Danshen-Guizhi drug pair in the treatment of ovarian cancer based on network pharmacology and experiment.

Our study aims to explore the active components and mechanisms of the Danshen-Guizhi drug pair in treating ovarian cancer by network pharmacology and experiment. The "component-target-pathway" diagram of the Danshen-Guizhi drug pair was established by network pharmacology, and the effective active components, important targets as well as potential mechanisms of the Danshen-Guizhi drug pair were analyzed. The predicted results were verified by molecular docking and experiments.

and Are Hypermethylated in Cervical Adenocarcinoma and Associated with Better Prognosis.

Background: The increased risk and poor survival outcome of cervical adenocarcinoma (CAC) demand for effective early diagnostic biomarkers that can predict the disease progression and outcome. The purpose of this study was to investigate the value of methylation status of and in the detection and prognosis of CAC.

Methods: We performed a quantitative methylation-specific polymerase chain reaction in 205 cervical paraffin-embedded specimens (175 CACs, 30 noncancer cervical tissues).

Comparison of survival outcomes of neoadjuvant therapy and direct surgery in IB2/IIA2 cervical adenocarcinoma: a retrospective study.

Purpose: This retrospective study compared the efficacy and survival of patients with cervical adenocarcinoma (IB2/IIA2; FIGO2009) treated with neoadjuvant chemotherapy before radical surgery (NACT + RS), neoadjuvant chemoradiation therapy before radical surgery (NACRT + RS), or primary radical surgery (RS).

Methods: Between January 2008 and November 2015, 91 patients diagnosed with stage IB2/IIA2 cervical adenocarcinoma were enrolled, including 29 patients who received RS, 24 patients who received NACT + RS, and 38 patients who received NACRT + RS.

Results: The characteristics of patients were balanced among the three groups, and the median follow-up time was 72 months.

Natural history of ovarian high-grade serous carcinoma from time effects of ovulation inhibition and progesterone clearance of p53-defective lesions.

High-grade serous carcinoma is the most common and devastating type of ovarian cancer; its etiology, mechanism of malignant transformation, and origin remain controversial. Recent studies have identified secretory cells at the fimbria of the fallopian tube as the cell-of-origin of high-grade serous carcinoma, acquiring TP53 mutation, evolving to tubal precursor lesions, including "p53 signature" and serous tubal intraepithelial carcinoma, and metastasizing to the ovary as clinically evident ovarian cancer. The etiological mechanisms associated with known epidemiological risk factors, i.

High methylation of in cervical adenocarcinoma affects radiosensitivity and prognosis.

Background: Our previous study demonstrated hypermethylation of the gene in cervical cancer, but its prognostic value in cervical cancer, especially in cervical adenocarcinoma (CAC), remains unclear. The present study aimed to investigate the value of gene methylation for diagnosis and prediction of radiochemotherapy sensitivity and prognosis in CAC.

Methods: We first determined methylation levels using quantitative methylation-specific PCR in a training set.