Large-scale CRISPRi screens link metabolic stress to glioblastoma chemoresistance

被引:0
|
作者
Li, Xing [1 ,2 ]
Zhang, Wansong [1 ,2 ]
Fang, Yitong [1 ,2 ]
Sun, Tianhu [1 ,2 ]
Chen, Jian [3 ]
Tian, Ruilin [1 ,2 ]
机构
[1] Southern Univ Sci & Technol, Sch Med, Shenzhen 518055, Guangdong, Peoples R China
[2] Southern Univ Sci & Technol, Key Univ Lab Metab & Hlth Guangdong, Shenzhen 518055, Guangdong, Peoples R China
[3] Chinese Acad Med Sci, Chinese Inst Brain Res, Res Unit Med Neurobiol, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Glioblastoma; Temozolomide resistance; PGK1; Metabolic stress; CRISPR screening; DNA damage repair; CANCER; TEMOZOLOMIDE; GLYCOLYSIS; KINASE; AMPK;
D O I
10.1186/s12967-025-06261-4
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundGlioblastoma (GBM) patients frequently develop resistance to temozolomide (TMZ), the standard chemotherapy. While targeting cancer metabolism shows promise, the relationship between metabolic perturbation and drug resistance remains poorly understood.MethodsWe performed high-throughput CRISPR interference screens in GBM cells to identify genes modulating TMZ sensitivity. Findings were validated using multiple GBM cell lines, patient-derived glioma stem cells, and clinical data. Molecular mechanisms were investigated through transcriptome analysis, metabolic profiling, and functional assays.ResultsWe identified phosphoglycerate kinase 1 (PGK1) as a key determinant of TMZ sensitivity. Paradoxically, while PGK1 inhibition suppressed tumor growth, it enhanced TMZ resistance by inducing metabolic stress. This activated AMPK and HIF-1 alpha pathways, leading to enhanced DNA damage repair through 53BP1. PGK1 expression levels correlated with TMZ sensitivity across multiple GBM models and patient samples.ConclusionsOur study reveals an unexpected link between metabolic stress and chemoresistance, demonstrating how metabolic adaptation can promote therapeutic resistance. These findings caution against single-agent metabolic targeting and suggest PGK1 as a potential biomarker for TMZ response in GBM.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Simultaneous analysis of large-scale RNAi screens for pathogen entry
    Pauli Rämö
    Anna Drewek
    Cécile Arrieumerlou
    Niko Beerenwinkel
    Houchaima Ben-Tekaya
    Bettina Cardel
    Alain Casanova
    Raquel Conde-Alvarez
    Pascale Cossart
    Gábor Csúcs
    Simone Eicher
    Mario Emmenlauer
    Urs Greber
    Wolf-Dietrich Hardt
    Ari Helenius
    Christoph Kasper
    Andreas Kaufmann
    Saskia Kreibich
    Andreas Kühbacher
    Peter Kunszt
    Shyan Huey Low
    Jason Mercer
    Daria Mudrak
    Simone Muntwiler
    Lucas Pelkmans
    Javier Pizarro-Cerdá
    Michael Podvinec
    Eva Pujadas
    Bernd Rinn
    Vincent Rouilly
    Fabian Schmich
    Juliane Siebourg-Polster
    Berend Snijder
    Michael Stebler
    Gabriel Studer
    Ewa Szczurek
    Matthias Truttmann
    Christian von Mering
    Andreas Vonderheit
    Artur Yakimovich
    Peter Bühlmann
    Christoph Dehio
    BMC Genomics, 15
  • [22] Design of Stable Large-Scale Metabolic Networks
    Di Maggio, Jimena
    Blanco, Anibal M.
    Alberto Bandoni, J.
    Soledad Diaz, M.
    10TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, 2009, 27 : 1755 - 1760
  • [23] An analysis and validation pipeline for large-scale RNAi-based screens
    Plank, Michael
    Hu, Guang
    Silva, A. Sofia
    Wood, Shona H.
    Hesketh, Emily E.
    Janssens, Georges
    Macedo, Andre
    de Magalhaes, Joao Pedro
    Church, George M.
    SCIENTIFIC REPORTS, 2013, 3
  • [24] MIC-Drop: A platform for large-scale in vivo CRISPR screens
    Parvez, Saba
    Herdman, Chelsea
    Beerens, Manu
    Chakraborti, Korak
    Harmer, Zachary P.
    Yeh, Jing-Ruey J.
    MacRae, Calum A.
    Yost, H. Joseph
    Peterson, Randall T.
    SCIENCE, 2021, 373 (6559) : 1146 - +
  • [25] A resource for large-scale RNA-interference-based screens in mammals
    Paddison, PJ
    Silva, JM
    Conklin, DS
    Schlabach, M
    Li, MM
    Aruleba, S
    Balija, V
    O'Shaughnessy, A
    Gnoj, L
    Scobie, K
    Chang, K
    Westbrook, T
    Cleary, M
    Sachidanandam, R
    McCombie, WR
    Elledge, SJ
    Hannon, GJ
    NATURE, 2004, 428 (6981) : 427 - 431
  • [26] A probability-based approach for the analysis of large-scale RNAi screens
    Renate König
    Chih-yuan Chiang
    Buu P Tu
    S Frank Yan
    Paul D DeJesus
    Angelica Romero
    Tobias Bergauer
    Anthony Orth
    Ute Krueger
    Yingyao Zhou
    Sumit K Chanda
    Nature Methods, 2007, 4 : 847 - 849
  • [27] Minimizing the risk of reporting false positives in large-scale RNAi screens
    Echeverri, Christophe J.
    Beachy, Philip A.
    Baum, Buzz
    Boutros, Michael
    Buchholz, Frank
    Chanda, Sumit K.
    Downward, Julian
    Ellenberg, Jan
    Fraser, Andrew G.
    Hacohen, Nir
    Hahn, William C.
    Jackson, Aimee L.
    Kiger, Amy
    Linsley, Peter S.
    Lum, Lawrence
    Ma, Yong
    Mathey-Prevot, Bernard
    Root, David E.
    Sabatini, David M.
    Taipale, Jussi
    Perrimon, Norbert
    Bernards, Rene
    NATURE METHODS, 2006, 3 (10) : 777 - 779
  • [28] A probability-based approach for the analysis of large-scale RNAi screens
    Koenig, Renate
    Chiang, Chih-Yuan
    Tu, Buu P.
    Yan, S. Frank
    DeJesus, Paul D.
    Romero, Angelica
    Bergauer, Tobias
    Orth, Anthony
    Krueger, Ute
    Zhou, Yingyao
    Chanda, Sumit K.
    NATURE METHODS, 2007, 4 (10) : 847 - 849
  • [29] Large-scale mutagenesis and phenotypic screens for the nervous system and behavior in mice
    Vitaterna, MH
    Pinto, LH
    Takahashi, JS
    TRENDS IN NEUROSCIENCES, 2006, 29 (04) : 233 - 240
  • [30] Minimizing the risk of reporting false positives in large-scale RNAi screens
    Christophe J Echeverri
    Philip A Beachy
    Buzz Baum
    Michael Boutros
    Frank Buchholz
    Sumit K Chanda
    Julian Downward
    Jan Ellenberg
    Andrew G Fraser
    Nir Hacohen
    William C Hahn
    Aimee L Jackson
    Amy Kiger
    Peter S Linsley
    Lawrence Lum
    Yong Ma
    Bernard Mathey-Prévôt
    David E Root
    David M Sabatini
    Jussi Taipale
    Norbert Perrimon
    René Bernards
    Nature Methods, 2006, 3 : 777 - 779