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Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas

Author

Listed:
  • Keke Li

    (Shanghai Jiao Tong University)

  • Ruimin Wang

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Zhengying Gu

    (Shanghai Jiao Tong University School of Medicine
    Shanghai Jiao Tong University School of Medicine)

  • Wenyun Weng

    (Shanghai Jiao Tong University School of Medicine)

  • Wanshan Liu

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Yida Huang

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Jiao Wu

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Ziyue Zhang

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Shouzhi Yang

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Jun Su

    (Shanghai Jiao Tong University)

  • Yujie Tang

    (Shanghai Jiao Tong University School of Medicine)

  • Kun Qian

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Mawei Jiang

    (Shanghai Jiao Tong University)

  • Lin Huang

    (Shanghai Jiao Tong University School of Medicine
    Shanghai Jiao Tong University School of Medicine)

  • Jingjing Wan

    (East China Normal University)

Abstract

Brainstem gliomas (BSG) is a highly malignant central nervous system childhood tumors with 5-year survival rate

Suggested Citation

  • Keke Li & Ruimin Wang & Zhengying Gu & Wenyun Weng & Wanshan Liu & Yida Huang & Jiao Wu & Ziyue Zhang & Shouzhi Yang & Jun Su & Yujie Tang & Kun Qian & Mawei Jiang & Lin Huang & Jingjing Wan, 2025. "Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61163-9
    DOI: 10.1038/s41467-025-61163-9
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    1. Alexandra M. Miller & Ronak H. Shah & Elena I. Pentsova & Maryam Pourmaleki & Samuel Briggs & Natalie Distefano & Youyun Zheng & Anna Skakodub & Smrutiben A. Mehta & Carl Campos & Wan-Ying Hsieh & S. , 2019. "Tracking tumour evolution in glioma through liquid biopsies of cerebrospinal fluid," Nature, Nature, vol. 565(7741), pages 654-658, January.
    2. Yangzi Chen & Bohong Wang & Yizi Zhao & Xinxin Shao & Mingshuo Wang & Fuhai Ma & Laishou Yang & Meng Nie & Peng Jin & Ke Yao & Haibin Song & Shenghan Lou & Hang Wang & Tianshu Yang & Yantao Tian & Pen, 2024. "Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Ning Qu & Di Chen & Ben Ma & Lijun Zhang & Qiuping Wang & Yuting Wang & Hongping Wang & Zhaoxian Ni & Wen Wang & Tian Liao & Jun Xiang & Yulong Wang & Shi Jin & Dixin Xue & Weili Wu & Yu Wang & Qingha, 2024. "Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    4. Ruimin Wang & Shouzhi Yang & Mengfei Wang & Yan Zhou & Xvelian Li & Wei Chen & Wanshan Liu & Yida Huang & Jiao Wu & Jing Cao & Lei Feng & Jingjing Wan & Jiayi Wang & Lin Huang & Kun Qian, 2024. "A sustainable approach to universal metabolic cancer diagnosis," Nature Sustainability, Nature, vol. 7(5), pages 602-615, May.
    5. Lin Huang & Lin Wang & Xiaomeng Hu & Sen Chen & Yunwen Tao & Haiyang Su & Jing Yang & Wei Xu & Vadanasundari Vedarethinam & Shu Wu & Bin Liu & Xinze Wan & Jiatao Lou & Qian Wang & Kun Qian, 2020. "Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    6. Yongliang Zhang & Yu Yao & Yaping Xu & Lifeng Li & Yan Gong & Kai Zhang & Meng Zhang & Yanfang Guan & Lianpeng Chang & Xuefeng Xia & Lin Li & Shuqin Jia & Qiang Zeng, 2021. "Pan-cancer circulating tumor DNA detection in over 10,000 Chinese patients," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    7. Michal K. Handzlik & Jivani M. Gengatharan & Katie E. Frizzi & Grace H. McGregor & Cameron Martino & Gibraan Rahman & Antonio Gonzalez & Ana M. Moreno & Courtney R. Green & Lucie S. Guernsey & Terry L, 2023. "Insulin-regulated serine and lipid metabolism drive peripheral neuropathy," Nature, Nature, vol. 614(7946), pages 118-124, February.
    8. Hamid Nikbakht & Eshini Panditharatna & Leonie G. Mikael & Rui Li & Tenzin Gayden & Matthew Osmond & Cheng-Ying Ho & Madhuri Kambhampati & Eugene I. Hwang & Damien Faury & Alan Siu & Simon Papillon-Ca, 2016. "Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma," Nature Communications, Nature, vol. 7(1), pages 1-8, September.
    9. Jean-David Morel & Lucie Sauzéat & Ludger J. E. Goeminne & Pooja Jha & Evan Williams & Riekelt H. Houtkooper & Ruedi Aebersold & Johan Auwerx & Vincent Balter, 2022. "The mouse metallomic landscape of aging and metabolism," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    10. Rotem Ben-Hamo & Adi Jacob Berger & Nancy Gavert & Mendy Miller & Guy Pines & Roni Oren & Eli Pikarsky & Cyril H. Benes & Tzahi Neuman & Yaara Zwang & Sol Efroni & Gad Getz & Ravid Straussman, 2020. "Predicting and affecting response to cancer therapy based on pathway-level biomarkers," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    11. Ling Tao & Mahmoud A. Mohammad & Giorgio Milazzo & Myrthala Moreno-Smith & Tajhal D. Patel & Barry Zorman & Andrew Badachhape & Blanca E. Hernandez & Amber B. Wolf & Zihua Zeng & Jennifer H. Foster & , 2022. "MYCN-driven fatty acid uptake is a metabolic vulnerability in neuroblastoma," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    12. Joshua E. Lewis & Melissa L. Kemp, 2021. "Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    13. Lin Huang & Jingjing Wan & Xiang Wei & Yu Liu & Jingyi Huang & Xuming Sun & Ru Zhang & Deepanjali D. Gurav & Vadanasundari Vedarethinam & Yan Li & Ruoping Chen & Kun Qian, 2017. "Plasmonic silver nanoshells for drug and metabolite detection," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
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