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Lysophosphatidic Acid Receptor 6 (LPAR6) Is a Potential Biomarker Associated with Lung Adenocarcinoma

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Listed:
  • Jian He

    (State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    Equal contribution.)

  • Rui Gao

    (State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    Equal contribution.)

  • Mei Meng

    (State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China)

  • Miao Yu

    (CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China)

  • Chengrong Liu

    (Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China)

  • Jingquan Li

    (State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China)

  • Yizhi Song

    (CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China)

  • Hui Wang

    (State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China)

Abstract

LPAR6 is the most recently determined G-protein-coupled receptor of the lysophosphatidic acid receptor, and very few of studies have demonstrated the performance of LPAR6 in cancers. Moreover, the relationship of LPAR6 to the potential of prognosis and tumor infiltration immune cells in different types of cancer are still unclarified. In this study, the mRNA expression of LPAR6 and its clinical characteristics were evaluated on various databases. The association between LPAR6 and immune infiltrates of various types of cancer were investigated via TIMER. Immunohistochemistry (IHC) for LPAR6 in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissue microarray with patients’ information was detected. We constructed a systematic prognostic landscape in a variety of types of cancer base on the expression level of mRNA. We enclosed that higher LPAR6 mRNA expression level was associated with better overall survival in some types of malignancy. Moreover, LPAR6 significantly affects the prognostic potential of various cancers in The Cancer Genome Atlas Program (TCGA), especially in lung cancer. Tissue microarrays of lung cancer patient cohorts demonstrated that a higher protein level of LPAR6 was correlated to better overall survival of LUAD rather than LUSC cohorts. Further research indicated that the underlying mechanism of this phenome might be the mRNA expression level of LPAR6 was positively associated to infiltrating statuses of devious immunocytes in LUAD rather than in LUSC, that is, LPAR6 expression potentially contributes to the activation and recruiting of T cells (CD8+ T, naive T, effector T cell) and NK cells and inactivates Tregs, decreases T cell exhaustion and regulates T-helper (Th) cells in LUAD. Our discovery implies that LPAR6 is associated with prognostic potential and immune-infiltrating levels in LUAD. These discoveries imply that LPAR6 could be a promising novel biomarker for indicating the prognosis potential of LUAD patients.

Suggested Citation

  • Jian He & Rui Gao & Mei Meng & Miao Yu & Chengrong Liu & Jingquan Li & Yizhi Song & Hui Wang, 2021. "Lysophosphatidic Acid Receptor 6 (LPAR6) Is a Potential Biomarker Associated with Lung Adenocarcinoma," IJERPH, MDPI, vol. 18(21), pages 1-25, October.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11038-:d:660872
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    References listed on IDEAS

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    1. Dvir Aran & Marina Sirota & Atul J. Butte, 2015. "Systematic pan-cancer analysis of tumour purity," Nature Communications, Nature, vol. 6(1), pages 1-12, December.
    2. Reiya Taniguchi & Asuka Inoue & Misa Sayama & Akiharu Uwamizu & Keitaro Yamashita & Kunio Hirata & Masahito Yoshida & Yoshiki Tanaka & Hideaki E. Kato & Yoshiko Nakada-Nakura & Yuko Otani & Tomohiro N, 2017. "Structural insights into ligand recognition by the lysophosphatidic acid receptor LPA6," Nature, Nature, vol. 548(7667), pages 356-360, August.
    3. Charles Schmidt, 2015. "Immunology: Another shot at cancer," Nature, Nature, vol. 527(7578), pages 105-107, November.
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