IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33282-0.html
   My bibliography  Save this article

Proteomic characterization of gastric cancer response to chemotherapy and targeted therapy reveals potential therapeutic strategies

Author

Listed:
  • Yan Li

    (Fudan University)

  • Chen Xu

    (Fudan University)

  • Bing Wang

    (Henan Normal University)

  • Fujiang Xu

    (Fudan University
    The Affiliated Hospital of Southwest Medical University)

  • Fahan Ma

    (Fudan University)

  • Yuanyuan Qu

    (Fudan University Shanghai Cancer Center
    Shanghai Medical College
    Shanghai Genitourinary Cancer Institute)

  • Dongxian Jiang

    (Fudan University)

  • Kai Li

    (Fudan University)

  • Jinwen Feng

    (Fudan University)

  • Sha Tian

    (Fudan University)

  • Xiaohui Wu

    (Fudan University)

  • Yunzhi Wang

    (Fudan University)

  • Yang Liu

    (Fudan University)

  • Zhaoyu Qin

    (Fudan University)

  • Yalan Liu

    (Fudan University)

  • Jing Qin

    (Fudan University)

  • Qi Song

    (Fudan University)

  • Xiaolei Zhang

    (Fudan University)

  • Akesu Sujie

    (Fudan University)

  • Jie Huang

    (Fudan University)

  • Tianshu Liu

    (Fudan University)

  • Kuntang Shen

    (Fudan University)

  • Jian-Yuan Zhao

    (Shanghai Jiao Tong University School of Medicine
    Zhengzhou University)

  • Yingyong Hou

    (Fudan University)

  • Chen Ding

    (Fudan University)

Abstract

Chemotherapy and targeted therapy are the major treatments for gastric cancer (GC), but drug resistance limits its effectiveness. Here, we profile the proteome of 206 tumor tissues from patients with GC undergoing either chemotherapy or anti-HER2-based therapy. Proteome-based classification reveals four subtypes (G-I–G-IV) related to different clinical and molecular features. MSI-sig high GC patients benefit from docetaxel combination treatment, accompanied by anticancer immune response. Further study reveals patients with high T cell receptor signaling respond to anti-HER2-based therapy; while activation of extracellular matrix/PI3K-AKT pathway impair anti-tumor effect of trastuzumab. We observe CTSE functions as a cell intrinsic enhancer of chemosensitivity of docetaxel, whereas TKTL1 functions as an attenuator. Finally, we develop prognostic models with high accuracy to predict therapeutic response, further validated in an independent validation cohort. This study provides a rich resource for investigating the mechanisms and indicators of chemotherapy and targeted therapy in GC.

Suggested Citation

  • Yan Li & Chen Xu & Bing Wang & Fujiang Xu & Fahan Ma & Yuanyuan Qu & Dongxian Jiang & Kai Li & Jinwen Feng & Sha Tian & Xiaohui Wu & Yunzhi Wang & Yang Liu & Zhaoyu Qin & Yalan Liu & Jing Qin & Qi Son, 2022. "Proteomic characterization of gastric cancer response to chemotherapy and targeted therapy reveals potential therapeutic strategies," Nature Communications, Nature, vol. 13(1), pages 1-26, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33282-0
    DOI: 10.1038/s41467-022-33282-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33282-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-33282-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sai Ge & Xia Xia & Chen Ding & Bei Zhen & Quan Zhou & Jinwen Feng & Jiajia Yuan & Rui Chen & Yumei Li & Zhongqi Ge & Jiafu Ji & Lianhai Zhang & Jiayuan Wang & Zhongwu Li & Yumei Lai & Ying Hu & Yanyan, 2018. "A proteomic landscape of diffuse-type gastric cancer," Nature Communications, Nature, vol. 9(1), pages 1-16, December.
    2. David A. Barbie & Pablo Tamayo & Jesse S. Boehm & So Young Kim & Susan E. Moody & Ian F. Dunn & Anna C. Schinzel & Peter Sandy & Etienne Meylan & Claudia Scholl & Stefan Fröhling & Edmond M. Chan & Ma, 2009. "Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1," Nature, Nature, vol. 462(7269), pages 108-112, November.
    3. Björn Schwanhäusser & Dorothea Busse & Na Li & Gunnar Dittmar & Johannes Schuchhardt & Jana Wolf & Wei Chen & Matthias Selbach, 2011. "Global quantification of mammalian gene expression control," Nature, Nature, vol. 473(7347), pages 337-342, May.
    4. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J.Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Red, 2012. "Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 492(7428), pages 290-290, December.
    5. Yang Li & Cui-Fang Yao & Fu-Jiang Xu & Yuan-Yuan Qu & Jia-Tao Li & Yan Lin & Zhong-Lian Cao & Peng-Cheng Lin & Wei Xu & Shi-Min Zhao & Jian-Yuan Zhao, 2019. "APC/CCDH1 synchronizes ribose-5-phosphate levels and DNA synthesis to cell cycle progression," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    6. Jordi Barretina & Giordano Caponigro & Nicolas Stransky & Kavitha Venkatesan & Adam A. Margolin & Sungjoon Kim & Christopher J. Wilson & Joseph Lehár & Gregory V. Kryukov & Dmitriy Sonkin & Anupama Re, 2012. "The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity," Nature, Nature, vol. 483(7391), pages 603-607, March.
    7. Ying Jiang & Aihua Sun & Yang Zhao & Wantao Ying & Huichuan Sun & Xinrong Yang & Baocai Xing & Wei Sun & Liangliang Ren & Bo Hu & Chaoying Li & Li Zhang & Guangrong Qin & Menghuan Zhang & Ning Chen & , 2019. "Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma," Nature, Nature, vol. 567(7747), pages 257-261, March.
    8. Hue M. La & Jinyue Liao & Julien M. D. Legrand & Fernando J. Rossello & Ai-Leen Chan & Vijesh Vaghjiani & Jason E. Cain & Antonella Papa & Tin Lap Lee & Robin M. Hobbs, 2022. "Distinctive molecular features of regenerative stem cells in the damaged male germline," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    9. Sai Ge & Xia Xia & Chen Ding & Bei Zhen & Quan Zhou & Jinwen Feng & Jiajia Yuan & Rui Chen & Yumei Li & Zhongqi Ge & Jiafu Ji & Lianhai Zhang & Jiayuan Wang & Zhongwu Li & Yumei Lai & Ying Hu & Yanyan, 2018. "Author Correction: A proteomic landscape of diffuse-type gastric cancer," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hailiang Zhang & Lin Bai & Xin-Qiang Wu & Xi Tian & Jinwen Feng & Xiaohui Wu & Guo-Hai Shi & Xiaoru Pei & Jiacheng Lyu & Guojian Yang & Yang Liu & Wenhao Xu & Aihetaimujiang Anwaier & Yu Zhu & Da-Long, 2023. "Proteogenomics of clear cell renal cell carcinoma response to tyrosine kinase inhibitor," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    2. Yan Li & Bing Wang & Wentao Yang & Fahan Ma & Jianling Zou & Kai Li & Subei Tan & Jinwen Feng & Yunzhi Wang & Zhaoyu Qin & Zhiyu Chen & Chen Ding, 2024. "Longitudinal plasma proteome profiling reveals the diversity of biomarkers for diagnosis and cetuximab therapy response of colorectal cancer," Nature Communications, Nature, vol. 15(1), pages 1-23, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhenmei Yao & Ning Xu & Guoguo Shang & Haixing Wang & Hui Tao & Yunzhi Wang & Zhaoyu Qin & Subei Tan & Jinwen Feng & Jiajun Zhu & Fahan Ma & Sha Tian & Qiao Zhang & Yuanyuan Qu & Jun Hou & Jianming Gu, 2023. "Proteogenomics of different urothelial bladder cancer stages reveals distinct molecular features for papillary cancer and carcinoma in situ," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
    2. Yan Li & Bing Wang & Wentao Yang & Fahan Ma & Jianling Zou & Kai Li & Subei Tan & Jinwen Feng & Yunzhi Wang & Zhaoyu Qin & Zhiyu Chen & Chen Ding, 2024. "Longitudinal plasma proteome profiling reveals the diversity of biomarkers for diagnosis and cetuximab therapy response of colorectal cancer," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    3. Lingling Li & Dongxian Jiang & Hui Liu & Chunmei Guo & Rui Zhao & Qiao Zhang & Chen Xu & Zhaoyu Qin & Jinwen Feng & Yang Liu & Haixing Wang & Weijie Chen & Xue Zhang & Bin Li & Lin Bai & Sha Tian & Su, 2023. "Comprehensive proteogenomic characterization of early duodenal cancer reveals the carcinogenesis tracks of different subtypes," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    4. Wenhao Shi & Yushen Wang & Chen Xu & Yan Li & Sai Ge & Bin Bai & Kecheng Zhang & Yunzhi Wang & Nairen Zheng & Juan Wang & Shiqi Wang & Gang Ji & Jipeng Li & Yongzhan Nie & Wenquan Liang & Xiaosong Wu , 2023. "Multilevel proteomic analyses reveal molecular diversity between diffuse-type and intestinal-type gastric cancer," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    5. Lingling Li & Dongxian Jiang & Qiao Zhang & Hui Liu & Fujiang Xu & Chunmei Guo & Zhaoyu Qin & Haixing Wang & Jinwen Feng & Yang Liu & Weijie Chen & Xue Zhang & Lin Bai & Sha Tian & Subei Tan & Chen Xu, 2023. "Integrative proteogenomic characterization of early esophageal cancer," Nature Communications, Nature, vol. 14(1), pages 1-28, December.
    6. Julia Joung & Paul C. Kirchgatterer & Ankita Singh & Jang H. Cho & Suchita P. Nety & Rebecca C. Larson & Rhiannon K. Macrae & Rebecca Deasy & Yuen-Yi Tseng & Marcela V. Maus & Feng Zhang, 2022. "CRISPR activation screen identifies BCL-2 proteins and B3GNT2 as drivers of cancer resistance to T cell-mediated cytotoxicity," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    7. Junyi Chen & Xiaoying Wang & Anjun Ma & Qi-En Wang & Bingqiang Liu & Lang Li & Dong Xu & Qin Ma, 2022. "Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Omar Alhalabi & Jianfeng Chen & Yuxue Zhang & Yang Lu & Qi Wang & Sumankalai Ramachandran & Rebecca Slack Tidwell & Guangchun Han & Xinmiao Yan & Jieru Meng & Ruiping Wang & Anh G. Hoang & Wei-Lien Wa, 2022. "MTAP deficiency creates an exploitable target for antifolate therapy in 9p21-loss cancers," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    9. Aina Maria Mas & Enrique Goñi & Igor Ruiz de los Mozos & Aida Arcas & Luisa Statello & Jovanna González & Lorea Blázquez & Wei Ting Chelsea Lee & Dipika Gupta & Álvaro Sejas & Shoko Hoshina & Alexandr, 2023. "ORC1 binds to cis-transcribed RNAs for efficient activation of replication origins," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    10. Nicolae Sapoval & Amirali Aghazadeh & Michael G. Nute & Dinler A. Antunes & Advait Balaji & Richard Baraniuk & C. J. Barberan & Ruth Dannenfelser & Chen Dun & Mohammadamin Edrisi & R. A. Leo Elworth &, 2022. "Current progress and open challenges for applying deep learning across the biosciences," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. G. Gambardella & G. Viscido & B. Tumaini & A. Isacchi & R. Bosotti & D. di Bernardo, 2022. "A single-cell analysis of breast cancer cell lines to study tumour heterogeneity and drug response," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    12. Seungyeul Yoo & Abhilasha Sinha & Dawei Yang & Nasser K. Altorki & Radhika Tandon & Wenhui Wang & Deebly Chavez & Eunjee Lee & Ayushi S. Patel & Takashi Sato & Ranran Kong & Bisen Ding & Eric E. Schad, 2022. "Integrative network analysis of early-stage lung adenocarcinoma identifies aurora kinase inhibition as interceptor of invasion and progression," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    13. Shi, Chengchun & Xu, Tianlin & Bergsma, Wicher & Li, Lexin, 2021. "Double generative adversarial networks for conditional independence testing," LSE Research Online Documents on Economics 112550, London School of Economics and Political Science, LSE Library.
    14. Alon Stern & Mariam Fokra & Boris Sarvin & Ahmad Abed Alrahem & Won Dong Lee & Elina Aizenshtein & Nikita Sarvin & Tomer Shlomi, 2023. "Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    15. Sandor Spisak & David Chen & Pornlada Likasitwatanakul & Paul Doan & Zhixin Li & Pratyusha Bala & Laura Vizkeleti & Viktoria Tisza & Pushpamali Silva & Marios Giannakis & Brian Wolpin & Jun Qi & Nilay, 2024. "Identifying regulators of aberrant stem cell and differentiation activity in colorectal cancer using a dual endogenous reporter system," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    16. Mariela Cortés-López & Laura Schulz & Mihaela Enculescu & Claudia Paret & Bea Spiekermann & Mathieu Quesnel-Vallières & Manuel Torres-Diz & Sebastian Unic & Anke Busch & Anna Orekhova & Monika Kuban &, 2022. "High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    17. Qiwei Jiang & Xiaomei Zhang & Xiaoming Dai & Shiyao Han & Xueji Wu & Lei Wang & Wenyi Wei & Ning Zhang & Wei Xie & Jianping Guo, 2022. "S6K1-mediated phosphorylation of PDK1 impairs AKT kinase activity and oncogenic functions," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    18. Yanli Liu & Zhong Wu & Jin Zhou & Dinesh K. A. Ramadurai & Katelyn L. Mortenson & Estrella Aguilera-Jimenez & Yifei Yan & Xiaojun Yang & Alison M. Taylor & Katherine E. Varley & Jason Gertz & Peter S., 2021. "A predominant enhancer co-amplified with the SOX2 oncogene is necessary and sufficient for its expression in squamous cancer," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    19. Xiao-Song Wang & Sanghoon Lee & Han Zhang & Gong Tang & Yue Wang, 2022. "An integral genomic signature approach for tailored cancer therapy using genome-wide sequencing data," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    20. Sayantani Ghosh Dastidar & Bony Kumar & Bo Lauckner & Damien Parrello & Danielle Perley & Maria Vlasenok & Antariksh Tyagi & Nii Koney-Kwaku Koney & Ata Abbas & Sergei Nechaev, 2023. "Transcriptional responses of cancer cells to heat shock-inducing stimuli involve amplification of robust HSF1 binding," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33282-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.