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Multi-omics and single cell characterization of cancer immunosenescence landscape

by Liu, Xiaoni , He, Xue , Zhu, Mingxia , Yan, Changjian , Chen, Yingtong , Chen, Ruizhi , Liu, Jing , Wu, Chaoling , Yuan, Xiaoliang , Qu, Yanan , Yu, Zining , Lin, Xiaoya , Wang, Liqun , Wang, Jing , Yang, Ping , Wei, Qiuxia , Hu, Wenping , Xiao, Jinyuan , Luo, Jiahao , Zhou, Haibo , Zhang, Weilong , Jing, Hongmei , Tan, Qilong

in 692/499 / 692/699/67/327 / Analysis / Apoptosis / Bcl-2 protein / Cancer / Cellular Senescence / Extracellular signal-regulated kinase / Genomic Instability / Humanities and Social Sciences / Humans / Immune checkpoint inhibitors / Immunosenescence / Lymphocytes T / MAP kinase / Medical prognosis / Metastases / multidisciplinary / Multiomics / Neoplasms - immunology / Prediction models / Prognosis / Science / Science (multidisciplinary) / Senescence / Signal transduction / Single-Cell Analysis / Telomeres / Tumors

2024

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2024

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2024

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Journal Article

Multi-omics and single cell characterization of cancer immunosenescence landscape

Liu, Xiaoni,

He, Xue,

Zhu, Mingxia,

Yan, Changjian,

Chen, Yingtong,

Chen, Ruizhi,

Liu, Jing,

Wu, Chaoling,

Yuan, Xiaoliang,

Qu, Yanan,

Yu, Zining,

Lin, Xiaoya,

Wang, Liqun,

Wang, Jing,

Yang, Ping,

Wei, Qiuxia,

Hu, Wenping,

Xiao, Jinyuan,

Luo, Jiahao,

Zhou, Haibo,

Zhang, Weilong,

Jing, Hongmei,

Tan, Qilong

2024

Overview

Cellular senescence (CS) is closely related to tumor progression. However, the studies about CS genes across human cancers have not explored the relationship between cancer senescence signature and telomere length. Additionally, single-cell analyses have not revealed the evolutionary trends of malignant cells and immune cells at the CS level. We defined a CS-associated signature, called “senescence signature”, and found that patients with higher senescence signature had worse prognosis. Higher senescence signature was related to older age, higher genomic instability, longer telomeres, increased lymphocytic infiltration, higher pro-tumor immune infiltrates (Treg cells and MDSCs), and could predict responses to immune checkpoint inhibitor therapy. Single-cell analysis further reveals malignant cells and immune cells share a consistent evolutionary trend at the CS level. MAPK signaling pathway and apoptotic processes may play a key role in CS, and senescence signature may effectively predict sensitivity of MEK1/2 inhibitors, ERK1/2 inhibitors and BCL-2 family inhibitors. We also developed a new CS prediction model of cancer survival and established a portal website to apply this model ( https://bio-pub.shinyapps.io/cs_nomo/ ).

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Publisher

Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio

Subject

/ Cancer

/ Cellular Senescence