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31.
32.
Cynthia S. E. Hendrikse MD Phyllis van der Ploeg MD PhD Nienke M. A. van de Kruis MD Jody H. C. Wilting MD Floor Oosterkamp BSc Pauline M. M. Theelen MSc Christianne A. R. Lok MD PhD Joanne A. de Hullu MD PhD Huberdina P. M. Smedts MD PhD M. Caroline Vos MD PhD Brenda M. Pijlman MD Loes F. S. Kooreman MD Johan Bulten MD PhD Marjolein H. F. M. Lentjes-Beer MD PhD Steven L. Bosch MD PhD Anja van de Stolpe MD PhD Sandrina Lambrechts MD PhD Ruud L. M. Bekkers MD PhD Jurgen M. J. Piek MD PhD 《Cancer》2023,129(9):1361-1371
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. 相似文献33.
Byrne Emma Abel Stephen Yu Alexander Shepard Matthew Karlovits Stephen M. Wegner Rodney E. 《Journal of neuro-oncology》2022,157(1):197-205
Journal of Neuro-Oncology - Adjuvant radiation is often used in patients with low grade gliomas with high-risk characteristics with a recommended dose of 45–54 Gy. We used the... 相似文献
34.
Biomedical Engineering - The possible use of the vortex effect in medical transfusion–infusion solution heaters was studied. A design for a device is presented, along with the trial results.... 相似文献
35.
A. M. Crawford 《Anaesthesia》2023,78(11):1323-1326
36.
Boothe Emily Olenderek Marta Noyola M. Cristina Rushing Julia Allred Erinn Kaplan Sebastian 《Zeitschrift fur Gesundheitswissenschaften》2022,30(6):1373-1380
Journal of Public Health - Group prenatal care provides an alternative model of prenatal care that allows for collaboration with peers, education, discussion, and self-management training in... 相似文献
37.
38.
Sigve Nakken Sveinung Gundersen Fabian L. M. Bernal Dimitris Polychronopoulos Eivind Hovig Jørgen Wesche 《International journal of cancer. Journal international du cancer》2023,153(10):1819-1828
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 ). 相似文献
39.
40.
Marie V. Plaisime PhD MPH Marie Jipguep-Akhtar PhD Joseph J. Locascio PhD Harolyn M. E. Belcher MD MHS Rachel R. Hardeman PhD MPH Katherine Picho-Kiroga PhD Sylvia P. Perry PhD Sean M. Phelan PhD MPH Michelle van Ryn PhD LMFT MPH John F. Dovidio PhD 《Health services research》2023,58(Z2):229-237