Ovarian fibroma is the most common benign pure stromal tumor. It has no specific clinical manifestation, most of which are pelvic or adnexal masses. 10-15% of cases with hydrothorax or ascites, after tumor resection, hydrothorax and ascites disappear, known as Meigs Syndrome. The elevated level of CA125 in a few patients was easily misdiagnosed as ovarian malignant tumor. A case of bilateral Ovarian fibroma associated with Meigs Syndrome is reported and the literature is reviewed in order to improve the understanding of the changes and avoid misdiagnosis.

Background Renal carcinoma is a common malignant tumor of the urinary system. Advanced renal carcinoma has a low 5-year survival rate and a poor prognosis. More and more studies have confirmed that chromatin regulators (CRs) can regulate the occurrence and development of cancer. This article investigates the functional and prognostic value of CRs in renal carcinoma patients. Methods mRNA expression and clinical information were obtained from The Cancer Genome Atlas database. Univariate Cox regression analysis and LASSO regression analysis were used to select prognostic chromatin-regulated genes and use them to construct a risk model for predicting the prognosis of renal cancer. Differences in prognosis between high-risk and low-risk groups were compared using Kaplan–Meier analysis. In addition, we analyzed the relationship between chromatin regulators and tumor immune infiltration, and explored differences in drug sensitivity between risk groups. Results We constructed a model consisting of 11 CRs to predict the prognosis of renal cancer patients. We not only successfully validated its feasibility, but also found that the 11 CR-based model was an independent prognostic factor. Functional analysis showed that CRs were mainly enriched in cancer development-related signalling pathways. We also found through the TIMER database that CR-based models were also associated with immune cell infiltration and immune checkpoints. At the same time, the genomics of drug sensitivity in cancer database was used to analyze the commonly used drugs of renal clear cell carcinoma patients. It was found that patients in the low-risk group were sensitive to medicines such as axitinib, pazopanib, sorafenib, and gemcitabine. In contrast, those in the high-risk group may be sensitive to sunitinib. Conclusion The chromatin regulator-related prognostic model we constructed can be used to assess the prognostic risk of patients with clear cell renal cell carcinoma. The results of this study can bring new ideas for targeted therapy of clear cell renal carcinoma, helping doctors to take corresponding measures in advance for patients with different risks.

Senile male, physically ft at usual, he died suddenly without any clinical symptoms. By autopsy dissection, it was found that large amount of bleeding was presented in pericardial cavity, the abdominal cavity and thoracic cavity had a small amount of hemorrhage, partial pancrea tissue had coagulation necrosis accompanied with infltration of neutrophile granulocyte and degeneration and necrosis of liver cell accompanied with acute or chronic inflammation cell infltration. Laboratory examination of the patient when he was alive suggested that liver function and coagulation function had obstacles, there was not any timely clinical process, and he died suddenly. Autopsy examination results suggested that acute pancreatitis caused a large quantity of bleeding in pericardial cavity, which led to cardiac tamponade and it cause acute circulation failure, which initiated cardiac arrest and then death. Coronary heart disease may exert certain facilitation effect in the death process. Patients with pancreatitis, especially the senile and pancreatitis patients with coronary artery disease, should be evaluated and prevented ahead of schedule, for those patients who had coma suddenly, it should be thought that it had possibility of combining with hemorrhage in the interior of pericardial cavity, the patient's doctor should try his or her best to reduce death rate.

Ovarian fibroma is the most common benign pure stromal tumor. It has no specific clinical manifestation, most of which are pelvic or adnexal masses. 10%-15% of cases with hydrothorax or ascites, after tumor resection, hydrothorax and ascites disappear, known as Meigs Syndrome. The elevated level of CA125 in a few patients was easily misdiagnosed as ovarian malignant tumor. A case of bilateral Ovarian fibroma associated with Meigs Syndrome is reported and the literature is reviewed in order to improve the understanding of the changes and avoid misdiagnosis.

Background: Renal carcinoma is a common malignant tumor of the urinary system. Advanced renal carcinoma has a low 5-year survival rate and a poor prognosis. More and more studies have confirmed that chromatin regulators(CRs) can regulate the occurrence and development of cancer. This article aims to investigate the functional and prognostic value of CRs in renal carcinoma patients. Methods: mRNA expression and clinical information were obtained from the TCGA(The Cancer Genome Atlas)database. Univariate Cox regression analysis and LASSO regression analysis were used to select prognostic chromatin-regulated genes and use them to construct a risk model for predicting the prognosis of renal cancer. Differences in prognosis between high-risk and low-risk groups were compared using Kaplan-Meier analysis. In addition, we analyzed the relationship between chromatin regulators and tumor immune infiltration, and explored differences in drug sensitivity between different risk groups. Results: We constructed a model consisting of 11 CRs to predict the prognosis of renal cancer patients, and not only successfully validated its feasibility, but we also found that the 11 CR-based model was an independent prognostic factor. Functional analysis showed that CRs were mainly enriched in cancer development-related signaling pathways. We also found through the TIMER database that CR-based models were also associated with immune cell infiltration and immune checkpoints.At the same time, the GDSC(The Genomics of Drug Sensitivity in Cancer database)database was used to analyze the commonly used drugs of KIRC(Renal clear cell carcinoma) patients. It was found that patients in the low-risk group were sensitive to drugs such as axitinib, pazopanib, sorafenib, and gemcitabine, while those in the high-risk group may be sensitive to sunitinib. Conclusion: The chromatin regulator-related prognostic model we constructed can be used to assess the prognostic risk of patients with clear cell renal cell carcinoma. The results of this study can bring new ideas for targeted therapy of clear cell renal carcinoma, helping doctors to take corresponding measures in advance for patients with different risks.