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Boussioutas, A.

Publications and source records attributed to Boussioutas, A..

2 recordsLinked to original sources

The kinase activity of the cancer stem cell marker DCLK1 drives gastric cancer progression by reprogramming the stromal tumor landscape

Gastric cancer (GC) is the 3rd leading cause of cancer mortality worldwide, therefore providing novel diagnostic and treatment options is crucial for at risk groups. The serine/threonine kinase doublecortin-like kinase 1 (DCLK1) is a proposed driver of GC with frequent amplification and somatic missense mutations yet the molecular mechanism how DCLK1 mediates tumorigenesis is poorly understood. We report how DCLK1 expression orchestrates complementary cancer cell intrinsic and extrinsic processes leading to a comprehensive pro-invasive and pro-metastatic reprogramming of cancer cells and tumor stroma in a DCLK1 kinase-dependent manner. Mechanistically, we identify the chemokine CXCL12 as a key promoter of the pro-tumorigenic properties downstream of DCLK1. Importantly, inhibition of the DCLK1 kinase domain reverses the pro-tumorigenic and pro-metastatic phenotype. Together, this study establishes DCLK1 as a promising, targetable master regulator of GC. TeaserDCLK1 is a druggable cancer driver of GC

cancer biology↗

Molecular and cellular heterogeneity of gastric cancer explained by methylation-driven key regulators

Gastric cancer (GC) is a heterogeneous disease of diverse genetic, genomic, and epigenetic alterations. Tumor microenvironment (TME) also contributes to the heterogeneity of GC. To investigate GC heterogeneity, we developed an Integrative Sequential Causality Test (ISCT) to identify key regulators of GC by integrating DNA methylation, copy number variation, and transcriptomic data. Applying ISCT to three GC cohorts containing methylation, CNV and transcriptomic data, 11 common methylation-driven key regulators (ADHFE1, CDO1, CRYAB, FSTL1, GPT, PKP3, PTPRCAP, RAB25, RHOH, SFN, and SORD) were identified. Based on these 11 genes, gastric tumors were clustered into 3 clusters which were associated with known molecular subtypes, Lauren classification, tumor stage, and patient survival, suggesting significance of the methylation-driven key regulators in molecular and histological heterogeneity of GC. We further showed that chemotherapy benefit was different in the 3 GC clusters and varied depending on the tumor stage. Both immune/stromal proportions in TME and tumor cell genomic variations contributed to expression variations of the 11 methylation-driven key regulators and to the GC heterogeneity.

genomics↗