| 1. |
- Campbell, Christine, et al.
(author)
-
Markers of steroid receptor, kinase signalling pathways and Ki-67 expression in relation to tamoxifen sensitivity and resistance
- 2020
-
In: Translational Breast Cancer Research. - : AME Publishing Company. - 2218-6778. ; 1
-
Journal article (peer-reviewed)abstract
- Background: It remains clinically important to identify ER positive breast cancers likely to respond to tamoxifen (TAM) and so we aimed to select a group of biomarkers able to predict response. We also assessed whether data from different sample types [tumor microarrays (TMAs) and core biopsies] or tumor sites could be combined for biomarker studies.Methods: A total of 123 endocrine treatment naïve patients with known ER and HER2 status treated with TAM had paraffin-embedded tumor tissue available either as TMAs (n=102) or core biopsies (n=21). TMA cores were collected from three different tumor sites, two central and one peripheral. Ten biomarkers were evaluated by immunohistochemistry, for % positivity and/or H-Score, comprising: ER, HER2, Ki-67, phosphorylated forms of ER (Ser118), IGF1R, PRAS40, Akt & MAPK (ERK1/2), and PTEN & androgen receptor expression (AR). Each tumor was analysed for Akt1 E17K somatic mutation using BEAMing technology. Patient outcome was assessed by clinical benefit (CB) rate & survival analyses [time to progression (TTP) and time to death (TTD)].Results: There was no significant difference in % positivity or H-Score between central & peripheral tumor sites for all biomarkers examined. After False Discovery Rate (FDR) correction differences (P<0.05) were observed between the two central samples only for HER2 & pER118 and pPRAS40. However, differences in biomarker expression were common between core biopsies and TMAs. Only 2/123 (1.6%) tumors had Akt1 E17K mutations. Univariate and multivariate analyses identified that lower levels of PTEN and higher levels of Ki-67 (% positivity) were predictive of poor outcome (TTP & TTD) following TAM. Higher ER. lower Ki-67 and AR/ER ratio <2 predicted increased CB rate.Conclusions: There were few differences in marker expression between TMAs from different intra-tumoral sites. More marked differences between TMAs and core biopsies suggest caution if combining such datasets. Loss of PTEN, a key regulator of the PI3K/Akt pathway, was the only RTK/kinase signaling biomarker related to poorer clinical outcome. PTEN along with ER & lower Ki-67 proved the most predictive markers for better outcome (TTP & TTD and/or CBR) following TAM treatment.Keywords: ER+ breast cancer; Akt pathway; tamoxifen
|
|
| 2. |
- Ito, Akihiko, et al.
(author)
-
Soil carbon sequestration simulated in CMIP6-LUMIP models : Implications for climatic mitigation
- 2020
-
In: Environmental Research Letters. - : IOP Publishing. - 1748-9318 .- 1748-9326. ; 15:12
-
Journal article (peer-reviewed)abstract
- Land-use change affects both the quality and quantity of soil organic carbon (SOC) and leads to changes in ecosystem functions such as productivity and environmental regulation. Future changes in SOC are, however, highly uncertain owing to its heterogeneity and complexity. In this study, we analyzed the outputs of simulations of SOC stock by Earth system models (ESMs), most of which are participants in the Land-Use Model Intercomparison Project. Using a common protocol and the same forcing data, the ESMs simulated SOC distribution patterns and their changes during historical (1850-2014) and future (2015-2100) periods. Total SOC stock increased in many simulations over the historical period (30 ± 67 Pg C) and under future climate and land-use conditions (48 ± 32 Pg C for ssp126 and 49 ± 58 Pg C for ssp370). Land-use experiments indicated that changes in SOC attributable to land-use scenarios were modest at the global scale, in comparison with climatic and rising CO2 impacts, but they were notable in several regions. Future net soil carbon sequestration rates estimated by the ESMs were roughly 0.4‰ yr-1 (0.6 Pg C yr-1). Although there were considerable inter-model differences, the rates are still remarkable in terms of their potential for mitigation of global warming. The disparate results among ESMs imply that key parameters that control processes such as SOC residence time need to be better constrained and that more comprehensive representation of land management impacts on soils remain critical for understanding the long-term potential of soils to sequester carbon.
|
|
