bioRxiv Science⌕ Search

Biology subjects

Chaturantabut, S.

Publications and source records attributed to Chaturantabut, S..

3 recordsLinked to original sources

Hormone-induced thrombosis is mediated through non-canonical fibrin(ogen) aggregation and a novel estrogen target in zebrafish

Venous thrombosis is a well-known complication of estrogen exposure, with nearly every woman at risk across her lifetime through contraception, pregnancy, or hormone therapy. Although estrogens alter expression of coagulation factors, the mechanisms that mediate estrogen-induced thrombosis are poorly understood, partially due to the absence of an animal model. Identification of these mediators is central to understanding of hormone-induced pathophysiology, could ascertain patients at higher risk for thrombosis, and pinpoint future therapeutic targets. The zebrafish is characterized by external development, high fecundity, optical transparency, and hemostasis is highly conserved with humans. Through a transgenic line that generates GFP-tagged fibrinogen, we show rapid onset of thrombosis after exposure to various estrogens, but not progestins or testosterone. Thrombi are localized to the venous system with evidence for clot contraction. Thrombosis is only partially impeded by anticoagulants, occurs in the absence of factor VII, factor X, and prothrombin, but is dependent on tissue factor and fibrin(ogen). Finally, targeting of all known estrogen receptors does not eliminate thrombosis. The inability to completely inhibit thrombosis through genetic/pharmacologic anticoagulation or estrogen receptor disruption suggests mechanisms different from canonical coagulation/thrombosis. These studies suggest that estrogen-induced thrombosis is a unique entity distinct from other forms of venous thrombosis.

pathology↗

Identification of potent biparatopic antibodies targeting FGFR2 fusion driven cholangiocarcinoma.

Translocations involving FGFR2 gene fusions are common in cholangiocarcinoma and predict response to FGFR kinase inhibitors. However, the rate and durability of response are limited due to the emergence of resistance, typically involving acquired FGFR2 kinase domain mutations, and to sub-optimal dosing, relating to drug adverse effects. Here, we report the development of biparatopic antibodies targeting the FGFR2 extracellular domain (ECD), as candidate therapeutics. Biparatopic antibodies can overcome drawbacks of standard bivalent monoparatopic antibodies, which often show poor inhibitory or even agonist activity against oncogenic receptors. We show that oncogenic transformation by FGFR2 fusions requires an intact ECD. Moreover, by systematically generating biparatopic antibodies that target distinct epitope pairs along the FGFR2 ECD, we identified antibodies that effectively block signaling and malignant growth driven by FGFR2-fusions. Importantly, these antibodies demonstrate efficacy in vivo, synergy with FGFR inhibitors, and activity against FGFR2 fusions harboring kinase domain mutations. Thus, biparatopic antibodies may serve as new treatment options for patients with FGFR2-altered cholangiocarcinoma. SummaryWe identify biparatopic FGFR2 antibodies that are effective against FGFR2 fusion driven cholangiocarcinoma.

cancer biology↗

Generation of a biliary tract cancer cell line atlas reveals molecular subtypes and therapeutic targets

Biliary tract cancers (BTCs) are a group of deadly malignancies encompassing intrahepatic and extrahepatic cholangiocarcinoma, gallbladder carcinoma, and ampullary carcinoma. Here, we present the integrative analysis of 63 BTC cell lines via multi-omics clustering and genome- scale CRISPR screens, providing a platform to illuminate BTC biology and inform therapeutic development. We identify dependencies broadly enriched in BTC compared to other cancers as well as dependencies selective to the anatomic subtypes. Notably, cholangiocarcinoma cell lines are stratified into distinct lineage subtypes based on biliary or dual biliary/hepatocyte marker signatures, associated with dependency on specific lineage survival factors. Transcriptional analysis of patient specimens demonstrates the prognostic significance of these lineage subtypes. Additionally, we delineate strategies to enhance targeted therapies or to overcome resistance in cell lines with key driver gene mutations. Furthermore, clustering based on dependencies and proteomics data elucidates unexpected functional relationships, including a BTC subgroup with partial squamous differentiation. Thus, this cell line atlas reveals potential therapeutic targets in molecularly defined BTCs, unveils biologically distinct disease subtypes, and offers a vital resource for BTC research.

cancer biology↗