IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-35797-6.html
   My bibliography  Save this article

Multilevel proteomic analyses reveal molecular diversity between diffuse-type and intestinal-type gastric cancer

Author

Listed:
  • Wenhao Shi

    (Tsinghua University
    Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics)

  • Yushen Wang

    (Tsinghua University
    Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics)

  • Chen Xu

    (Zhongshan Hospital, Fudan University)

  • Yan Li

    (School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University)

  • Sai Ge

    (Peking University Cancer Hospital and Institute)

  • Bin Bai

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Kecheng Zhang

    (Chinese PLA General Hospital First Medical Center)

  • Yunzhi Wang

    (School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University)

  • Nairen Zheng

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics)

  • Juan Wang

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Shiqi Wang

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Gang Ji

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Jipeng Li

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Yongzhan Nie

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Wenquan Liang

    (Chinese PLA General Hospital First Medical Center)

  • Xiaosong Wu

    (Chinese PLA General Hospital First Medical Center)

  • Jianxin Cui

    (Chinese PLA General Hospital First Medical Center)

  • Yi Wang

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics)

  • Lin Chen

    (Chinese PLA General Hospital First Medical Center)

  • Qingchuan Zhao

    (Xijing Hospital of Digestive Diseases, Fourth Military Medical University)

  • Lin Shen

    (Peking University Cancer Hospital and Institute)

  • Fuchu He

    (Tsinghua University
    Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics
    Chinese Academy of Medical Sciences)

  • Jun Qin

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics
    School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University)

  • Chen Ding

    (Beijing Proteome Research Center, National Center for Protein Sciences (The PHOENIX center, Beijing), Beijing Institute of Lifeomics
    School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University)

Abstract

Diffuse-type gastric cancer (DGC) and intestinal-type gastric cancer (IGC) are the major histological types of gastric cancer (GC). The molecular mechanism underlying DGC and IGC differences are poorly understood. In this research, we carry out multilevel proteomic analyses, including proteome, phospho-proteome, and transcription factor (TF) activity profiles, of 196 cases covering DGC and IGC in Chinese patients. Integrative proteogenomic analysis reveals ARIDIA mutation associated with opposite prognostic effects between DGC and IGC, via diverse influences on their corresponding proteomes. Systematical comparison and consensus clustering analysis identify three subtypes of DGC and IGC, respectively, based on distinct patterns of the cell cycle, extracellular matrix organization, and immune response-related proteins expression. TF activity-based subtypes demonstrate that the disease progressions of DGC and IGC were regulated by SWI/SNF and NFKB complexes. Furthermore, inferred immune cell infiltration and immune clustering show Th1/Th2 ratio is an indicator for immunotherapeutic effectiveness, which is validated in an independent GC anti-PD1 therapeutic patient group. Our multilevel proteomic analyses enable a more comprehensive understanding of GC and can further advance the precision medicine.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35797-6
    DOI: 10.1038/s41467-023-35797-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-35797-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-35797-6?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. Quan Zhou & Mingwei Liu & Xia Xia & Tongqing Gong & Jinwen Feng & Wanlin Liu & Yang Liu & Bei Zhen & Yi Wang & Chen Ding & Jun Qin, 2017. "A mouse tissue transcription factor atlas," Nature Communications, Nature, vol. 8(1), pages 1-15, April.
    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. 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.
    5. 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.
    6. Stephen P. Jackson & Jiri Bartek, 2009. "The DNA-damage response in human biology and disease," Nature, Nature, vol. 461(7267), pages 1071-1078, October.
    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. 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. 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.
    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. 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.
    5. 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.
    6. Shengli Li & Li Yuan & Zhi-Yuan Xu & Jing-Li Xu & Gui-Ping Chen & Xiaoqing Guan & Guang-Zhao Pan & Can Hu & Jinyun Dong & Yi-An Du & Li-Tao Yang & Mao-Wei Ni & Rui-Bin Jiang & Xiu Zhu & Hang Lv & Han-, 2023. "Integrative proteomic characterization of adenocarcinoma of esophagogastric junction," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    7. Jingbo Qie & Yang Liu & Yunzhi Wang & Fan Zhang & Zhaoyu Qin & Sha Tian & Mingwei Liu & Kai Li & Wenhao Shi & Lei Song & Mingjun Sun & Yexin Tong & Ping Hu & Tao Gong & Xiaqiong Wang & Yi Huang & Bolo, 2022. "Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues," Nature Communications, Nature, vol. 13(1), pages 1-23, December.
    8. Ilaria Rosso & Corey Jones-Weinert & Francesca Rossiello & Matteo Cabrini & Silvia Brambillasca & Leonel Munoz-Sagredo & Zeno Lavagnino & Emanuele Martini & Enzo Tedone & Massimiliano Garre’ & Julio A, 2023. "Alternative lengthening of telomeres (ALT) cells viability is dependent on C-rich telomeric RNAs," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    9. Yuping Chen & Jo-Hsi Huang & Connie Phong & James E. Ferrell, 2024. "Viscosity-dependent control of protein synthesis and degradation," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    10. Gábor Csárdi & Alexander Franks & David S Choi & Edoardo M Airoldi & D Allan Drummond, 2015. "Accounting for Experimental Noise Reveals That mRNA Levels, Amplified by Post-Transcriptional Processes, Largely Determine Steady-State Protein Levels in Yeast," PLOS Genetics, Public Library of Science, vol. 11(5), pages 1-32, May.
    11. Zichen Ma & Shannon W. Davis & Yen‐Yi Ho, 2023. "Flexible copula model for integrating correlated multi‐omics data from single‐cell experiments," Biometrics, The International Biometric Society, vol. 79(2), pages 1559-1572, June.
    12. Daipayan Banerjee & Kurt Langberg & Salar Abbas & Eric Odermatt & Praveen Yerramothu & Martin Volaric & Matthew A. Reidenbach & Kathy J. Krentz & C. Dustin Rubinstein & David L. Brautigan & Tarek Abba, 2021. "A non-canonical, interferon-independent signaling activity of cGAMP triggers DNA damage response signaling," Nature Communications, Nature, vol. 12(1), pages 1-24, December.
    13. Kaslik, Eva & Rădulescu, Ileana Rodica, 2022. "Stability and bifurcations in fractional-order gene regulatory networks," Applied Mathematics and Computation, Elsevier, vol. 421(C).
    14. Suran Kim & Sungjin Min & Yi Sun Choi & Sung-Hyun Jo & Jae Hun Jung & Kyusun Han & Jin Kim & Soohwan An & Yong Woo Ji & Yun-Gon Kim & Seung-Woo Cho, 2022. "Tissue extracellular matrix hydrogels as alternatives to Matrigel for culturing gastrointestinal organoids," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    15. Thomas C. J. Tan & Van Kelly & Xiaoyan Zou & David Wright & Tony Ly & Rose Zamoyska, 2022. "Translation factor eIF5a is essential for IFNγ production and cell cycle regulation in primary CD8+ T lymphocytes," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    16. Katharina Clemm von Hohenberg & Sandra Müller & Sibylle Schleich & Matthias Meister & Jonathan Bohlen & Thomas G. Hofmann & Aurelio A. Teleman, 2022. "Cyclin B/CDK1 and Cyclin A/CDK2 phosphorylate DENR to promote mitotic protein translation and faithful cell division," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    17. Jérémy Sandoz & Max Cigrang & Amélie Zachayus & Philippe Catez & Lise-Marie Donnio & Clèmence Elly & Jadwiga Nieminuszczy & Pietro Berico & Cathy Braun & Sergey Alekseev & Jean-Marc Egly & Wojciech Ni, 2023. "Active mRNA degradation by EXD2 nuclease elicits recovery of transcription after genotoxic stress," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Jonathan J. Swietlik & Stefanie Bärthel & Chiara Falcomatà & Diana Fink & Ankit Sinha & Jingyuan Cheng & Stefan Ebner & Peter Landgraf & Daniela C. Dieterich & Henrik Daub & Dieter Saur & Felix Meissn, 2023. "Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    19. Ryosuke Ishimura & Afnan H. El-Gowily & Daisuke Noshiro & Satoko Komatsu-Hirota & Yasuko Ono & Mayumi Shindo & Tomohisa Hatta & Manabu Abe & Takefumi Uemura & Hyeon-Cheol Lee-Okada & Tarek M. Mohamed , 2022. "The UFM1 system regulates ER-phagy through the ufmylation of CYB5R3," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    20. Ross J. Hill & Nazareno Bona & Job Smink & Hannah K. Webb & Alastair Crisp & Juan I. Garaycoechea & Gerry P. Crossan, 2024. "p53 regulates diverse tissue-specific outcomes to endogenous DNA damage in mice," Nature Communications, Nature, vol. 15(1), pages 1-16, 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:14:y:2023:i:1:d:10.1038_s41467-023-35797-6. 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.