Evidence map›Paper›PMID 36961502›Full record

ArticleeLife2023

Multi-targeted therapy resistance via drug-induced secretome fucosylation.

Mark Borris D Aldonza, Junghwa Cha, Insung Yong, Jayoung Ku, Pavel Sinitcyn, Dabin Lee, Ryeong-Eun Cho, Roben D Delos Reyes, Dongwook Kim, Soyeon Kim and 10 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 6 countries.

Mark Borris D Aldonza *Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0002-0771-129X
Junghwa Cha *Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Insung YongDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.ORCID 0000-0002-7828-4264
Jayoung KuDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0002-4112-4582
Pavel SinitcynComputational Systems Biochemistry Research Group, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-2653-1702
Dabin LeeComparative Medicine Disease Research Center (CDRC), Seoul National University, Seoul, Republic of Korea.
Ryeong-Eun ChoDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Roben D Delos ReyesDepartment of Electrical Engineering, KAIST, Daejeon, Republic of Korea.ORCID 0000-0003-1368-6817
Dongwook KimDepartment of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Soyeon KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Minjeong KangDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Yongsuk KuDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Geonho ParkDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Hye-Jin SungDepartment of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Han Suk RyuDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sukki ChoDepartment of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Tae Min KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Pilnam Kim *Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.ORCID 0000-0002-5592-4599
Je-Yoel Cho *Department of Biochemistry, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Yoosik Kim *Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID 0000-0003-3064-4643
Korea Advanced Institute of Science and Technology · KRSeoul National University · KRMax Planck Institute of Biochemistry · DENew Generation University College · ETSeoul National University Bundang Hospital · KR

Funding

Hyundai Motor Chung Mong-Koo Foundation FHS-20–008Korea Advanced Institute of Science and Technology N11190234Ministry of Health and Welfare HI14C1324National Research Foundation of Korea NRF-2016M3A9B6026771National Research Foundation of Korea NRF-2018R1A6A3A01012494National Research Foundation of Korea NRF-2019R1C1C1006672National Research Foundation of Korea NRF-2021R1A5A1033157
6 · The paper itself

Abstract

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.

Indexed as

Protein Processing, Post-TranslationalSecretomeAnimalsAryldialkylphosphataseGlycosylationHumansMiceAryldialkylphosphatasePON1 protein, humanbiochemistrycancercancer biologychemical biologydrug resistancefucosylationhumann-linked glycosylationsecretometargeted therapy

Identifiers

PMID36961502
PMCPMC10089660
OpenAlexW4360804512

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.