Scientific Communication and oncology - "The bridge between knowledge and patients".

The communication of scientific knowledge to patients and society as a whole has never been more central than in modern times. Thanks to the recent pandemic, it has become evident how Scientific Communication (SC) has evolved over time, increasingly diverging from common language. However, it is also clear that it must be properly used by healthcare professionals to avoid comprehension issues that could be severe for the audience.

The intersection of homologous recombination (HR) and mismatch repair (MMR) pathways in DNA repair-defective tumors.

Homologous recombination (HR) and mismatch repair (MMR) defects are driver mutational imprints and actionable biomarkers in DNA repair-defective tumors. Although usually thought as mutually exclusive pathways, recent preclinical and clinical research provide preliminary evidence of a functional crosslink and crosstalk between HRR and MMR. Shared core proteins are identified as key players in both pathways, broadening the concept of DNA repair mechanism exclusivity in specific tumor types.

Polθ: emerging synthetic lethal partner in homologous recombination-deficient tumors.

The most remarkable finding in synthetic lethality (SL) is the hypersensitivity to PARP inhibitors (PARPis) of the tumors harboring defects in genes involved in homologous repair (HR) such as BRCA1/2. Despite initial responsiveness to PARPi, the penetrance of the synthetic lethal interactions between BRCA1/2 genes and PARPi is incomplete. Thus, a significant proportion of HR-defective tumors experience intrinsic or acquired resistance, representing a key challenge of clinical research.

Exploring the potential of multiomics liquid biopsy testing in the clinical setting of lung cancer.

The transformative role of artificial intelligence (AI) and multiomics could enhance the diagnostic and prognostic capabilities of liquid biopsy (LB) for lung cancer (LC). Despite advances, the transition from tissue biopsies to more sophisticated, non-invasive methods like LB has been impeded by challenges such as the heterogeneity of biomarkers and the low concentration of tumour-related analytes. The advent of multiomics - enabled by deep learning algorithms - offers a solution by allowing the simultaneous analysis of various analytes across multiple biological fluids, presenting a paradigm shift in cancer diagnostics.