Modelling Land Use Change in Brazil: 2000–2050

The input and output land cover dataset across all modelled time periods (2000-2050) and scenarios resulting from the work of the REDD-PAC project in Brazil. Please consult the data section of the REDD-PAC website (http://redd-pac.org/new_page.php?contents=data1.csv) to access a data visualization tool and to obtain the dataset in WFS format. This dataset can be accessed and displayed using GIS software such as QGIS. Please consult the metadata file for further instruction

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer (TNBC). To incorporate sTILs into clinical trials and diagnostics, reliable assessment is essential. In this review, we propose a new concept, namely the implementation of a risk-management framework that enables the use of sTILs as a stratification factor in clinical trials. We present the design of a biomarker risk-mitigation workflow that can be applied to any biomarker incorporation in clinical trials. We demonstrate the implementation of this concept using sTILs as an integral biomarker in a single-center phase II immunotherapy trial for metastatic TNBC (TONIC trial, NCT02499367), using this workflow to mitigate risks of suboptimal inclusion of sTILs in this specific trial. In this review, we demonstrate that a web-based scoring platform can mitigate potential risk factors when including sTILs in clinical trials, and we argue that this framework can be applied for any future biomarker-driven clinical trial setting