Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea; Department of Biological Sciences, KAIST, Daejeon, Republic of Korea; Department of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; Comparative Medicine Disease Research Center (CDRC), Seoul National University, Seoul, Republic of Korea; BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
Junghwa Cha
Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea
Computational Systems Biochemistry Research Group, Max Planck Institute of Biochemistry, Martinsried, Germany
Dabin Lee
Comparative Medicine Disease Research Center (CDRC), Seoul National University, Seoul, Republic of Korea; BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
Ryeong-Eun Cho
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea
Dongwook Kim
Department of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
Soyeon Kim
Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
Minjeong Kang
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Yongsuk Ku
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Geonho Park
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Hye-Jin Sung
Department of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
Han Suk Ryu
Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
Sukki Cho
Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
Tae Min Kim
Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea; KAIST Institute for Health Science and Technology (KIHST), KAIST, Daejeon, Republic of Korea
Je-Yoel Cho
Department of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea; Comparative Medicine Disease Research Center (CDRC), Seoul National University, Seoul, Republic of Korea; BK21 PLUS Program for Creative Veterinary Science Research and Research Institute for Veterinary Science, Seoul National University, Seoul, Republic of Korea
Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea; KAIST Institute for Health Science and Technology (KIHST), KAIST, Daejeon, Republic of Korea; KAIST Institute for BioCentury (KIB), KAIST, Daejeon, Republic of Korea; BioProcess Engineering Research Center and Bioinformatics Research Center, KAIST, Daejeon, Republic of Korea
Cancer secretome is a reservoir for aberrant glycosylation. How therapies alter this post- translational cancer hallmark and the consequences thereof remain elusive. Here, we show that an elevated secretome fucosylation is a pan-cancer signature of both response and resistance to multiple targeted therapies. Large-scale pharmacogenomics revealed that fucosylation genes display widespread association with resistance to these therapies. In cancer cell cultures, xenograft mouse models, and patients, targeted kinase inhibitors distinctively induced core fucosylation of secreted proteins less than 60 kDa. Label-free proteomics of N-glycoproteomes identified fucosylation of the antioxidant PON1 as a critical component of the therapy-induced secretome (TIS). N-glycosylation of TIS and target core fucosylation of PON1 are mediated by the fucose salvage-FUT8-SLC35C1 axis with PON3 directly modulating GDP-Fuc transfer on PON1 scaffolds. Core fucosylation in the Golgi impacts PON1 stability and folding prior to secretion, promoting a more degradation-resistant PON1. Global and PON1-specific secretome de-N-glycosylation both limited the expansion of resistant clones in a tumor regression model. We defined the resistance-associated transcription factors (TFs) and genes modulated by the N-glycosylated TIS via a focused and transcriptome-wide analyses. These genes characterize the oxidative stress, inflammatory niche, and unfolded protein response as important factors for this modulation. Our findings demonstrate that core fucosylation is a common modification indirectly induced by targeted therapies that paradoxically promotes resistance.