Identifying risk factors for post-operative bleeding in women undergoing loop electrosurgical excision procedure for cervical dysplasia.

BACKGROUND: Loop electrosurgical excision is a procedure utilised in the treatment of high-grade squamous intraepithelial lesion (HSIL) of the cervix. Post-operatively women may experience immediate and/or delayed per vaginal bleeding. AIMS: The objective of this prospective pilot study was to assess the feasibility of identifying and quantifying patients' subjective experiences of post-operative bleeding following a loop electrosurgical excision procedure (LEEP) for HSIL. In addition, an analysis of demographical, lifestyle and surgical factors was undertaken to assess for any statistically significant correlation with post-operative bleeding. MATERIALS AND METHODS: This study included 110 patients who underwent a LEEP for biopsy-proven or suspected HSIL between 2017 and 2020. Subjective data were collected from weekly post-operative surveys and correlated with procedural data. Primary outcome assessed was the subjective rate of bleeding experienced. Baseline demographics were age, body mass index (BMI), specimen size, human papilloma virus variant and histopathology. Other variables of interest collected were exercise intensity, and alcohol intake. RESULTS: No association of statistical significance was discovered between age, BMI, or day of menstrual cycle. There was a statistically significant association between exercise intensity or specimen size (greater than the median) and increased bleeding, primarily in the first 2 weeks. CONCLUSIONS: Women who undergo intense or prolonged exercise in the post-operative period may experience heavier bleeding particularly in the first 2 weeks post-LEEP. Heavy bleeding was also associated with a larger specimen size. There was no correlation between BMI, age or any other demographical factor.

Intraoperative Frozen Section of Ovarian Tumors: A 6-Year Review of Performance and Potential Pitfalls in an Australian Tertiary Referral Center.

OBJECTIVES: Intraoperative frozen section (IFS) offers a rapid test to guide the extent of surgery, which is essential for optimal treatment of ovarian cancer. This study evaluated the diagnostic performance and influence of IFS in the surgical management of ovarian tumors. METHODS: A retrospective review was conducted of IFS of adnexal lesions from 2008 to 2013, with diagnoses classified as benign, borderline, or malignant. The diagnostic performance of IFS was calculated, with a focus on primary epithelial tumors. In discordant cases, it was determined whether the results of the IFS influenced the nature of the primary surgery. RESULTS: There were 277 consecutive cases over the study period. The overall sensitivity for diagnosing malignant disease was 75.9% and the specificity was 100%. With a benign IFS result, there was a 6.25% (9/144) chance that the final diagnosis would be malignant, and a 7.6% (11/144) chance that the final diagnosis would be borderline, resulting in the potential for understaging. The predictive values for benign, borderline, and malignant IFS results were 86.1%, 66.6%, and 100%, respectively. For a borderline IFS result, there was a 33.3% chance that the final diagnosis would be malignant disease, and this was higher in older patients (53.3%). There were no instances of overdiagnosis in this series. Of 37 cases underdiagnosed, 19 received incomplete primary staging surgery guided by the IFS, and most of these were mucinous tumors. CONCLUSIONS: Intraoperative frozen section is most valuable for its high specificity in diagnosing malignancy. It should be interpreted with caution in borderline tumors, particularly in older patients and in mucinous tumors. Overdiagnosis did not occur in this series; however, in younger patients, the limitations of IFS must be considered before surgery that would result in loss of fertility.

Radiology-pathology correlation of endometrial carcinoma assessment on magnetic resonance imaging.

Endometrial carcinoma is the most common gynaecological cancer in developed countries. Most cases are low-volume/low-grade tumour at presentation; however, high-grade subtypes may present with locally advanced disease with higher propensity for spread outside of the pelvis. MRI has a role in local staging of the tumour and helping the clinicians in treatment decision making. This pictorial essay gives examples of endometrial carcinoma at different stages with histological correlation. It also explores the potential limitations and pitfalls of imaging in this context.

In vitro and in vivo effects of the PPAR-alpha agonists fenofibrate and retinoic acid in endometrial cancer.

UNLABELLED: Fenofibrate, an agonist of PPAR-alpha, in doses above 25 microM, inhibits proliferation and induces apoptosis in Ishikawa endometrial cancer cells. We show that these effects are potentiated by retinoic acid, an agonist of the retinoid-X-receptor. DNA content analysis shows that G1/S phase progression through the cell cycle is inhibited. Independent Component Analysis of gene microarray experiments demonstrated downregulation of Cyclin D1 (CCND1) and associated changes in cell cycle gene expression. Expression of PPAR-alpha mRNA was reduced by >75% using RNA-interference but this resulted in only minor changes in biological effects. A nude mouse model of endometrial carcinoma was used to investigate the effect of fenofibrate in vivo but failed to show consistent inhibition of tumour growth. CONCLUSION: The combination of fenofibrate and retinoic acid is a potent inhibitor of Ishikawa endometrial cancer cell growth in vitro.

Independent component analysis of microarray data in the study of endometrial cancer.

Gene microarray technology is highly effective in screening for differential gene expression and has hence become a popular tool in the molecular investigation of cancer. When applied to tumours, molecular characteristics may be correlated with clinical features such as response to chemotherapy. Exploitation of the huge amount of data generated by microarrays is difficult, however, and constitutes a major challenge in the advancement of this methodology. Independent component analysis (ICA), a modern statistical method, allows us to better understand data in such complex and noisy measurement environments. The technique has the potential to significantly increase the quality of the resulting data and improve the biological validity of subsequent analysis. We performed microarray experiments on 31 postmenopausal endometrial biopsies, comprising 11 benign and 20 malignant samples. We compared ICA to the established methods of principal component analysis (PCA), Cyber-T, and SAM. We show that ICA generated patterns that clearly characterized the malignant samples studied, in contrast to PCA. Moreover, ICA improved the biological validity of the genes identified as differentially expressed in endometrial carcinoma, compared to those found by Cyber-T and SAM. In particular, several genes involved in lipid metabolism that are differentially expressed in endometrial carcinoma were only found using this method. This report highlights the potential of ICA in the analysis of microarray data.

Endothelial cells preparing to die by apoptosis initiate a program of transcriptome and glycome regulation.

The protein-based changes that underlie the cell biology of apoptosis have been extensively studied. In contrast, mRNA- and polysaccharide-based changes have received relatively little attention. We have combined transcriptome and glycome analyses to show that apoptotic endothelial cell cultures undergo programmed changes to RNA transcript abundance and cell surface polysaccharide profiles. Although a few of the transcriptome changes were protective, most appeared to prepare cells for apoptosis by decreasing the reception and transduction of pro-survival signals, increasing pro-death signals, increasing abundance of apoptotic machinery, inhibiting cellular proliferation, recruiting phagocytes to regions of cell death, and promoting phagocytosis. Additional transcriptomal changes appeared to alter the synthesis and modification of cell surface glycosaminoglycans. The resultant reduced abundance of sulphated cell surface glycosaminoglycans may further promote cell death by inhibiting the presentation of extracellular matrix-tethered survival factors to their receptors on dying cells. We propose that the transcriptome and glycome regulation presented here synergize with previously described protein-based changes to guide the apoptotic program.

Transcriptome analysis of endometrial cancer identifies peroxisome proliferator-activated receptors as potential therapeutic targets.

Endometrial cancer is the most common gynecologic malignancy, frequently arising in association with obesity and diabetes mellitus. To identify gene pathways contributing to endometrial cancer development, we studied the transcriptome of 20 endometrial cancers and 11 benign endometrial tissues using cDNA microarrays. Among the transcript changes identified in endometrial cancer were up-regulation of the nuclear hormone receptors peroxisome proliferator-activated receptors (PPAR) alpha and gamma, whereas retinoid X receptor beta was down-regulated. To clarify the contribution of PPARalpha to endometrial carcinogenesis, we did experiments on cultured endometrial carcinoma cells expressing this transcript. Treatment with fenofibrate, an activating ligand for PPARalpha, significantly reduced proliferation and increased cell death, suggesting that altered expression of nuclear hormone receptors involved with fatty acid metabolism leads to deregulated cellular proliferation and apoptosis. These results support further investigation of members of the PPAR/retinoid X receptor pathway as novel therapeutic targets in endometrial cancer.

Clinical utility of image-guided peritoneal and omental biopsy.

Image-guided core biopsy of the omentum and peritoneum was described a decade ago and has since been validated in a number of large studies as a safe and effective means of providing a tissue diagnosis in patients with undiagnosed peritoneal disease. Some studies have addressed its ability for determining whether peritoneal infiltration and/or omental masses in patients with prior malignancy represent recurrent disease or a new disease process. Others have focused on the specific issue of women suspected to have advanced peritoneal carcinomatosis from ovarian or primary peritoneal cancer where the primary management of the patient is directed by the tissue diagnosis. The initial management of many of these women, especially those with advanced disease or substantial comorbidity, is with primary chemotherapy. With current clinical trials for ovarian cancer directed to specific morphological subtypes of the disease, image-guided core biopsy offers a rapid and well tolerated nonsurgical means of providing this information. In this Review, we discuss the technique and its clinical applications, and critically examine the currently available alternative options.

Generation and use of a tailored gene array to investigate vascular biology.

Vasculogenesis, angiogenesis and vascular remodelling are complex processes where the fate of several cell types is determined by different signalling networks. Many of these networks ultimately function by changing the abundance of RNA transcripts within the cells which constitute blood vessel walls. Researchers can now map these transcript abundance changes using gene array technology. In this review, we describe the design, production and use of a gene array specifically tailored to investigate vascular biology. We describe the advantages of tailored gene arrays, and give detailed protocols based on our experience to allow the reader to use such gene arrays to generate meaningful data. We list the issues to consider when choosing and verifying the genes and splice variants included in an array, and describe our use of Arabidopsis sp. RNA spikes for quality control. We present data that illustrates the absolute necessity for both technical and biological replicates to be incorporated in the design of gene array experiments using primary cells such as HUVECS. Finally, we describe methods for the normalisation and interpretation of the data that gene arrays produce. The approach to gene array technology described here is easily within reach of the budget and expertise of most academic research groups.

Bioinformatic analysis of primary endothelial cell gene array data illustrated by the analysis of transcriptome changes in endothelial cells exposed to VEGF-A and PlGF.

We recently published a review in this journal describing the design, hybridisation and basic data processing required to use gene arrays to investigate vascular biology (Evans et al. Angiogenesis 2003; 6: 93-104). Here, we build on this review by describing a set of powerful and robust methods for the analysis and interpretation of gene array data derived from primary vascular cell cultures. First, we describe the evaluation of transcriptome heterogeneity between primary cultures derived from different individuals, and estimation of the false discovery rate introduced by this heterogeneity and by experimental noise. Then, we discuss the appropriate use of Bayesian t-tests, clustering and independent component analysis to mine the data. We illustrate these principles by analysis of a previously unpublished set of gene array data in which human umbilical vein endothelial cells (HUVEC) cultured in either rich or low-serum media were exposed to vascular endothelial growth factor (VEGF)-A165 or placental growth factor (PlGF)-1(131). We have used Affymetrix U95A gene arrays to map the effects of these factors on the HUVEC transcriptome. These experiments followed a paired design and were biologically replicated three times. In addition, one experiment was repeated using serial analysis of gene expression (SAGE). In contrast to some previous studies, we found that VEGF-A and PlGF consistently regulated only small, non-overlapping and culture media-dependant sets of HUVEC transcripts, despite causing significant cell biological changes.