Clinical Proteomics, Cancer Biology & Mass Spectrometry @MBPatUofT and @pmcancercentre 🇨🇦

Toronto, Ontario
Joined March 2019
Thomas Kislinger retweeted
#ProstateCancer urinary proteome differs by ancestry. 329 men: 194 Black, 135 White â–¸ 110 proteins differ (adj. age, PSA, grade) â–¸ Immune pathways most dysregulated â–¸ Black patients' urine resembled higher-grade disease vs White men oxford.ly/4hVL82T @KislingerThomas
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Thomas Kislinger retweeted
Govindarajan and Mejia-Guerrero et al. used enrichment of N-glycosylated surface proteins and mass spectrometry to profile 85 patient-derived xenografts and generated Glyco PDXplorer, an in vivo pan-cancer atlas of tumor cell-surface N-glycoproteins. 290 cancer-enriched surface targets with limited normal tissue expression were identified. FAT2 emerged as a novel HNSC-enriched surface protein, essential for HNSC adhesion, growth, and survival via integrin-PI3K signaling. In the BT530 patient-derived model of brain metastasis with squamous cell histology, intracranial administration of FAT2 CAR-T cells reduced tumor burden and extended survival. bit.ly/4tiw4RE  @meinusha  @KislingerThomas
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We develop a PDX-based N-glycoproteomics strategy to discover cancer-enriched cell surface targets and identify FAT2 as a novel, largely unexplored squamous cell marker that is essential for cellular growth and survival.
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Raising a novel antibody, we demonstrate that FAT2 expression is associated with patient outcome. Reformatting to a CAR-T demonstrated anti-tumor activity in pre-clinical models.
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Thomas Kislinger retweeted
Checkout our preprint on integrated proteogenomic analysis of localized prostate cancer @schafer_sci @CPDR_Labs : biorxiv.org/cgi/content/shor…
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Behind the Paper: From mutation to peptide: resolving proteome complexity with moPepGen communities.springernature.c…
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This cohort was stratified by ancestry – thought to be a risk-factor for aggressive disease. We found surprisingly large differences and dysregulation of immune pathways.
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Interestingly, the urinary proteome of Black patients harboured more features of aggressive cancers than those of grade- and PSA-matched White patients. These observations highlight the importance of controlling for ancestry-associated differences in biomarker development.
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