Multivariate Analysis of RNA Chemistry Marks Uncovers Epitranscriptomics-Based Biomarker Signature for Adult Diffuse Glioma Diagnostics.

One of the main challenges in cancer management relates to the discovery of reliable biomarkers, which could guide decision-making and predict treatment outcome. In particular, the rise and democratization of high-throughput molecular profiling technologies bolstered the discovery of "biomarker signatures" that could maximize the prediction performance. Such an approach was largely employed from diverse OMICs data (i.e., genomics, transcriptomics, proteomics, metabolomics) but not from epitranscriptomics, which encompasses more than 100 biochemical modifications driving the post-transcriptional fate of RNA: stability, splicing, storage, and translation. We and others have studied chemical marks in isolation and associated them with cancer evolution, adaptation, as well as the response to conventional therapy. In this study, we have designed a unique pipeline combining multiplex analysis of the epitranscriptomic landscape by high-performance liquid chromatography coupled to tandem mass spectrometry with statistical multivariate analysis and machine learning approaches in order to identify biomarker signatures that could guide precision medicine and improve disease diagnosis. We applied this approach to analyze a cohort of adult diffuse glioma patients and demonstrate the existence of an "epitranscriptomics-based signature" that permits glioma grades to be discriminated and predicted with unmet accuracy. This study demonstrates that epitranscriptomics (co)evolves along cancer progression and opens new prospects in the field of omics molecular profiling and personalized medicine.

Spinal metastases of bronchopulmonary cancer: Role of spinal surgery and value of prognostic scores (Modified Tokuhashi and Tomita).

INTRODUCTION: Bone metastasis is frequent in bronchopulmonary cancer. We report a series of 52 patients, and analyze indications and the efficacy of surgery. MATERIALS AND METHODS: We retrospectively studied the records of 52 patients operated on for spinal metastases of bronchopulmonary cancer over a 6-year period from January 2009 to December 2014 in the neurosurgery department of the North Hospital of Marseille, France. RESULTS: Mean age was 63.6years; with a sex ratio of 3:1 (M:F). Spinal pain associated with vertebral fracture and spinal cord compression was the most frequent clinical presentation (59.6%). SINS score was≥7 in 78.9% of cases. Karnofski Performance Status was average in 67.4% of cases. Predicted survival beyond 12months was zero according to the modified Tokuhashi score. The surgical indication was essentially palliative. Evolution showed regression of pain in 84.6% of cases, and stabilization and improvement in motor deficit in 80.6%. Median postoperative survival was 16months. CONCLUSION: Our results highlight the interest of surgery for pain relief, spinal stabilization and improvement in neurological function in patients with spinal metastases of bronchopulmonary cancer, and the unreliability of predictive survival scores.