Functional estrogen receptor signal transduction pathway activity and antihormonal therapy response in low-grade ovarian carcinoma

Background

Advanced low-grade ovarian carcinoma (LGOC) is difficult to treat. In several studies, high estrogen receptor (ER) protein expression was observed in patients with LGOC, which suggests that antihormonal therapy (AHT) is a treatment option. However, only a subgroup of patients respond to AHT, and this response cannot be adequately predicted by currently used immunohistochemistry (IHC). A possible explanation is that IHC only takes the ligand, but not the activity, of the whole signal transduction pathway (STP) into account. Therefore, in this study, the authors assessed whether functional STP activity can be an alternative tool to predict response to AHT in LGOC.

Methods

Tumor tissue samples were obtained from patients with primary or recurrent LGOC who subsequently received AHT. Histoscores of ER and progesterone receptor (PR) were determined. In addition, STP activity of the ER STP and of six other STPs known to play a role in ovarian cancer was assessed and compared with the STP activity of healthy postmenopausal fallopian tube epithelium.

Results

Patients who had normal ER STP activity had a progression-free survival (PFS) of 16.1 months. This was significantly shorter in patients who had low and very high ER STP activity, with a median PFS of 6.0 and 2.1 months, respectively (p < .001). Unlike ER histoscores, PR histoscores were strongly correlated to the ER STP activity and thus to PFS.

Conclusions

Aberrant low and very high functional ER STP activity and low PR histoscores in patients with LGOC indicate decreased response to AHT. ER IHC is not representative of functional ER STP activity and is not related to PFS.     

Andexanet alfa after 4-factor PCC administration for intracranial hemorrhage: a case series

Journal of Thrombosis and Thrombolysis - The ongoing controversy regarding optimal reversal agent for factor Xa-inhibitors is mainly due to lack of comparative data of andexanet alfa (AA) to...     

血液透析发生结核感染的影响因素分析

目的分析维持性血液透析患者发生结核感染的影响因素及临床特点。方法回顾性调查2018年5月-2019年8月北京清华长庚医院肾内科收治的长期规律血液透析患者共150例,收集患者的年龄、性别、合并疾病、血常规、生化、透析充分性等检验结果和影像学资料,归纳分析血液透析患者发生结核感染的影响因素。结果150例血液透析患者,男性91人,女性59人,平均年龄(62.7±14.2)岁,发生结核感染者共11例(7.33%),其中肺外结核比例高(54.5%),以浆膜腔积液为主要表现(54.5%),血红蛋白(94.7±11.6)g/L、血清白蛋白(34.6±2.0)g/L、血肌酐(593.6±221.4)umol/L低于无结核感染者,差异具有统计学意义(P<0.05);血小板(228.7±103.5)×10⁹/L高于无结核感染者,差异具有统计学意义(P<0.05)。两组患者年龄、透析充分性、淋巴细胞、血糖、血脂、血钙、血磷、全段甲状旁腺激素无统计学差异。结论血红蛋白<110g/L、白蛋白<35g/L是MHD患者发生结核感染的高危因素,MHD患者发生结核感染以肺外结核为主,临床表现具有隐匿性和不典型性,临床工作应提高警惕避免漏诊。     

Effects of Wenyang Zhenshuai Granules on the Expression of Key Mitochondrial Autophagy Proteins in the Doxorubicin-Induced Model of H9c2 Cardiomyocyte Injury

Bulletin of Experimental Biology and Medicine - This study aimed to explore the effects of Wenyang Zhenshuai granules (WZG) on the morphology of cardiomyocytes, cell viability, and the expression...     

Comprehensive interrogation of gene lists from genome-scale cancer screens with oncoEnrichR

Genome-scale screening experiments in cancer produce long lists of candidate genes that require extensive interpretation for biological insight and prioritization for follow-up studies. Interrogation of gene lists frequently represents a significant and time-consuming undertaking, in which experimental biologists typically combine results from a variety of bioinformatics resources in an attempt to portray and understand cancer relevance. As a means to simplify and strengthen the support for this endeavor, we have developed oncoEnrichR, a flexible bioinformatics tool that allows cancer researchers to comprehensively interrogate a given gene list along multiple facets of cancer relevance. oncoEnrichR differs from general gene set analysis frameworks through the integration of an extensive set of prior knowledge specifically relevant for cancer, including ranked gene-tumor type associations, literature-supported proto-oncogene and tumor suppressor gene annotations, target druggability data, regulatory interactions, synthetic lethality predictions, as well as prognostic associations, gene aberrations and co-expression patterns across tumor types. The software produces a structured and user-friendly analysis report as its main output, where versions of all underlying data resources are explicitly logged, the latter being a critical component for reproducible science. We demonstrate the usefulness of oncoEnrichR through interrogation of two candidate lists from proteomic and CRISPR screens. oncoEnrichR is freely available as a web-based service hosted by the Galaxy platform ( https://oncotools.elixir.no ), and can also be accessed as a stand-alone R package ( https://github.com/sigven/oncoEnrichR ).