Publications by authors named "F Eduati"

Local structures formed by cells in the tumor microenvironment (TME) play an important role in tumor development and treatment response. This study introduces SPoTLIghT, a computational framework providing a quantitative description of the tumor architecture from hematoxylin and eosin (H&E) slides. We trained a weakly supervised machine learning model on melanoma patients linking tile-level imaging features extracted from H&E slides to sample-level cell type quantifications derived from RNA-sequencing data.

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The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here, we use a systems biology approach to derive a signature of the main sources of heterogeneity in the tumor microenvironment (TME) from lung cancer transcriptomics. We demonstrate that this signature, which we called , is conserved in different cancers and associated with antitumor immunity.

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Inhibiting androgen receptor (AR) signaling through androgen deprivation therapy (ADT) reduces prostate cancer (PCa) growth in virtually all patients, but response may be temporary, in which case resistance develops, ultimately leading to lethal castration-resistant prostate cancer (CRPC). The tumor microenvironment (TME) plays an important role in the development and progression of PCa. In addition to tumor cells, TME-resident macrophages and fibroblasts express AR and are therefore also affected by ADT.

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Article Synopsis
  • The study addresses the need for predictive biomarkers for the effectiveness of immune checkpoint inhibitors (ICIs) in treating non-small cell lung cancer (NSCLC) using data from two clinical trials.
  • A competition, the Anti-PD-1 Response Prediction DREAM Challenge, involved 59 teams submitting 417 predictive models based on various biological variables to forecast patient outcomes with ICIs.
  • The results indicate that the best models outperformed existing reference variables like tumor mutational burden (TMB) and PD-L1 expression, potentially paving the way for future research in other cancers with similar approaches.
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Objectives: Timely diagnosis of lung cancer (LC) is crucial to achieve optimal patient care and outcome. Moreover, the number of procedures required to obtain a definitive diagnosis can have a large influence on the life expectancy of a patient. Here, adherence with existing Dutch guidelines for timeliness and type and number of invasive and imaging procedures was assessed.

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