https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35727 Wed 14 Jun 2023 12:38:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6849 Wed 11 Apr 2018 16:39:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45582 p = 0.002), cognitive functioning (45 vs 19%: p = 0.021), fatigue (47 vs 19%: p = 0.015) and global health status (42 vs 9%: p = 0.003). Conclusion: Although the objective response rate to anastrozole was relatively low, clinical benefit was observed in 44% of patients with ER/PR positive metastatic endometrial cancer and associated with an improvement in QOL.]]> Wed 02 Nov 2022 10:37:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37041 Thu 24 Mar 2022 11:31:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47322 Thu 02 May 2024 14:42:59 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21178 BRCA1, EN1, DLEC1, HOXA9, RASSF1A, GATA4, GATA5, HSULF1, CDH1, SFN) were examined and compared in a cohort of 80 primary HGSOC and 12 benign ovarian surface epithelium (OSE) samples using methylation-specific headloop suppression PCR. Results: The genes were variably methylated in primary HGSOC, with HOXA9 methylation observed in 95% of cases. Most genes were rarely methylated in benign OSE, with the exception of SFN which was methylated in all HGSOC and benign OSE samples examined. Methylation of DLEC1 was associated with disease recurrence, independent of tumor stage and suboptimal surgical debulking (HR 3.5 (95% CI:1.10–11.07), p = 0.033). A combination of the methylation status of HOXA9 and EN1 could discriminate HGSOC from benign OSE with a sensitivity of 98.8% and a specificity of 91.7%, which increased to 100% sensitivity with no loss of specificity when pre-operative CA125 levels were also incorporated. Conclusions: This study provides further evidence to support the feasibility of detecting altered DNA methylation patterns as a potential diagnostic and prognostic approach for HGSOC.]]> Sat 24 Mar 2018 07:58:05 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27255 Sat 24 Mar 2018 07:29:12 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46176 Mon 14 Nov 2022 08:57:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32152 Mon 07 May 2018 14:16:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32153 Mon 07 May 2018 14:14:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47888 Mon 06 Feb 2023 12:00:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35870 Fri 21 Oct 2022 11:25:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45708 Fri 04 Nov 2022 10:18:27 AEDT ]]>