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LaFramboise, T.

Publications and source records attributed to LaFramboise, T..

3 recordsLinked to original sources

SYS-Mut: Decoding the Functional Significance of Rare Somatic Mutations in Cancer

Current tailored-therapy efforts in cancer are largely focused on a small number of highly recurrently-mutated driver genes but therapeutic targeting of these oncogenes remains challenging. On the other hand, the vast number of genes mutated infrequently across cancers have received less attention, in part, due to a lack of understanding of their biologic significance. Here we present SYS-Mut, a systems biology platform that can robustly infer the biologic consequences of somatic mutations by integrating routine multi-omic profiles in primary tumors. We established the accuracy of SYS-Mut by recapitulating the functional impact of known driver genes in PanCancer datasets. Subsequent application of SYS-Mut on low-frequency gene mutations in Head and Neck Cancers (HNSC), followed by molecular and pharmacogenetic validation, revealed the lipidogenic network as a novel therapeutic vulnerability in aggressive HNSC. SYS-Mut is thus a robust scalable framework that enables discovery of new targetable avenues in cancer.

cancer biology

Genome-wide protein-DNA interaction site mapping using a double strand DNA-specific cytosine deaminase

DNA-protein interactions (DPIs) are central to such fundamental cellular processes as transcription and chromosome maintenance and organization. The spatiotemporal dynamics of these interactions dictate their functional consequences; therefore, there is great interest in facile methods for defining the sites of DPI within cells. Here, we present a general method for mapping DPI sites in vivo using the double stranded DNA-specific cytosine deaminase toxin DddA. Our approach, which we term DddA-sequencing (3D-seq), entails generating a translational fusion of DddA to a DNA binding protein of interest, inactivating uracil DNA glycosylase, modulating DddA activity via its natural inhibitor protein, and DNA sequencing for genome-wide DPI detection. We successfully applied this method to three Pseudomonas aeruginosa transcription factors that represent divergent protein families and bind variable numbers of chromosomal locations. 3D-seq offers several advantages over existing technologies including ease of implementation and the possibility to measure DPIs at single-cell resolution.

genetics

The EphB2-MYC Axis is a Major Determinant of Barrett's Pathobiology and a Therapeutic Vulnerability in Esophageal Cancer

Esophageal adenocarcinoma (EAC), a highly aggressive cancer with limited therapeutic options, often arises in the backdrop of a molecularly-complex esophageal metaplasia disorder, Barretts Esophagus (BE). Using transcriptomics and systems biology analyses of treatment-naive malignant/pre-malignant biopsy tissues, we found Eph receptor B2 (EphB2) tyrosine kinase signaling to be frequently hyperactivated during early stages of EAC development, and across the BE-EAC continuum. Functional studies revealed EphB2 to be an upstream post-translational regulator of c-MYC activity and as a key molecular dependency in BE/EAC. Single-cell transcriptomics in a porcine esophageal 3D spheroid model showed enhanced EphB2 and MYC activity to be significantly associated with BE-like cell fate. shRNA-based knockdown of EphB2 or small molecule inhibitors of MEK, that modulate MYC protein stability, proved effective in suppressing EAC tumor growth in vivo. These findings point to EphB2-MYC axis as an early promoter of EAC and a novel therapeutic vulnerability in this increasingly-prevalent esophageal malignancy. STATEMENT OF SIGNIFICANCEWe identify EphB2 signaling as a potential master regulator and early promoter of esophageal adenocarcinoma, and the proto-oncogene MYC as a key downstream effector of EphB2 function. Targeting the EphB2-MYC axis could be a promising therapeutic strategy for these often refractory and lethal EAC tumors.

cancer biology