Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD Patients

被引:52
作者
Chi, Hao [1 ]
Peng, Gaoge [1 ]
Wang, Rui [2 ,3 ,4 ]
Yang, Fengyi [2 ,3 ,4 ]
Xie, Xixi [5 ]
Zhang, Jinhao [5 ]
Xu, Ke [1 ]
Gu, Tao [1 ]
Yang, Xiaoli [2 ,3 ,4 ]
Tian, Gang [6 ]
机构
[1] Southwest Med Univ, Clin Med Coll, Luzhou 646000, Peoples R China
[2] Southwest Med Univ, Dept Gen Surg Hepatobiliary Surg, Affiliated Hosp, Luzhou 646000, Peoples R China
[3] Nucl Med & Mol Imaging Key Lab Sichuan Prov, Luzhou 646000, Peoples R China
[4] Academician Expert Workstn Sichuan Prov, Luzhou 646000, Peoples R China
[5] Southwest Med Univ, Sch Stomatol, Luzhou 646000, Peoples R China
[6] Southwest Med Univ, Dept Lab Med, Affiliated Hosp, Luzhou 646000, Peoples R China
关键词
cuprotosis; PAAD; programmed cell death; tumor microenvironment; immunotherapy; prognostic signature; CD44 PROMOTES RESISTANCE; TUMOR MUTATIONAL BURDEN; PANCREATIC-CANCER; MICROENVIRONMENT; IMMUNOTHERAPY; COPPER; EXPRESSION; BIOMARKER; PHOSPHORYLATION; PROGRESSION;
D O I
10.3390/cells11213436
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
In terms of mortality and survival, pancreatic cancer is one of the worst malignancies. Known as a unique type of programmed cell death, cuprotosis contributes to tumor cell growth, angiogenesis, and metastasis. Cuprotosis programmed-cell-death-related lncRNAs (CRLs) have been linked to PAAD, although their functions in the tumor microenvironment and prognosis are not well understood. This study included data from the TCGA-PAAD cohort. Random sampling of PAAD data was conducted, splitting the data into two groups for use as a training set and test set (7:3). We searched for differentially expressed genes that were substantially linked to prognosis using univariate Cox and Lasso regression analysis. Through the use of multivariate Cox proportional risk regression, a risk-rating system for prognosis was developed. Correlations between the CRL signature and clinicopathological characteristics, tumor microenvironment, immunotherapy response, and chemotherapy sensitivity were further evaluated. Lastly, qRT-PCR was used to compare CRL expression in healthy tissues to that in tumors. Some CRLs are thought to have strong correlations with PAAD outcomes. These CRLs include AC005332.6, LINC02041, LINC00857, and AL117382.1. The CRL-based signature construction exhibited outstanding predictive performance and offers a fresh approach to evaluating pre-immune effectiveness, paving the way for future studies in precision immuno-oncology.
引用
收藏
页数:26
相关论文
共 87 条
  • [1] LAG3 (CD223) as a cancer immunotherapy target
    Andrews, Lawrence P.
    Marciscano, Ariel E.
    Drake, Charles G.
    Vignali, Dario A. A.
    [J]. IMMUNOLOGICAL REVIEWS, 2017, 276 (01) : 80 - 96
  • [2] Pancreatic cancer: yesterday, today and tomorrow
    Ansari, Daniel
    Tingstedt, Bobby
    Andersson, Bodil
    Holmquist, Fredrik
    Sturesson, Christian
    Williamsson, Caroline
    Sasor, Agata
    Borg, David
    Bauden, Monika
    Andersson, Roland
    [J]. FUTURE ONCOLOGY, 2016, 12 (16) : 1929 - 1946
  • [3] Aran D, 2020, METHODS MOL BIOL, V2120, P263, DOI 10.1007/978-1-0716-0327-7_19
  • [4] xCell: digitally portraying the tissue cellular heterogeneity landscape
    Aran, Dvir
    Hu, Zicheng
    Butte, Atul J.
    [J]. GENOME BIOLOGY, 2017, 18
  • [5] Pancreatic Cancer: Promises and Failures of Target Therapies
    Aroldi, Francesca
    Bertocchi, Paola
    Rosso, Edoardo
    Prochilo, Tiziana
    Zaniboni, Alberto
    [J]. REVIEWS ON RECENT CLINICAL TRIALS, 2016, 11 (01) : 33 - 38
  • [6] Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
    Auslander, Noam
    Zhang, Gao
    Lee, Joo Sang
    Frederick, Dennie T.
    Miao, Benchun
    Moll, Tabea
    Tian, Tian
    Wei, Zhi
    Madan, Sanna
    Sullivan, Ryan J.
    Boland, Genevieve
    Flaherty, Keith
    Herlyn, Meenhard
    Ruppin, Eytan
    [J]. NATURE MEDICINE, 2018, 24 (10) : 1545 - +
  • [7] Validation of the 6th Edition AJCC Pancreatic Cancer Staging System - Report from the National Cancer Database
    Bilimoria, Karl Y.
    Bentrem, David J.
    Ko, Clifford Y.
    Ritchey, Jamie
    Stewart, Andrew K.
    Winchester, David P.
    Talamonti, Mark S.
    [J]. CANCER, 2007, 110 (04) : 738 - 744
  • [8] Defining the human copper proteome and analysis of its expression variation in cancers
    Blockhuys, S.
    Celauro, E.
    Hildesjo, C.
    Feizi, A.
    Stal, O.
    Fierro-Gonzalez, J. C.
    Wittung-Stafshede, P.
    [J]. METALLOMICS, 2017, 9 (02) : 112 - 123
  • [9] Hyaluronan-mediated CD44 interaction with RhoGEF and Rho kinase promotes Grb2-associated binder-1 phosphorylation and phosphatidylinositol 3-kinase signaling leading to cytokine (Macrophage-Colony stimulating factor) production and breast tumor progression
    Bourguignon, LYW
    Singleton, PA
    Zhu, HB
    Diedrich, F
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2003, 278 (32) : 29420 - 29434
  • [10] Safety and Activity of Anti-PD-L1 Antibody in Patients with Advanced Cancer
    Brahmer, Julie R.
    Tykodi, Scott S.
    Chow, Laura Q. M.
    Hwu, Wen-Jen
    Topalian, Suzanne L.
    Hwu, Patrick
    Drake, Charles G.
    Camacho, Luis H.
    Kauh, John
    Odunsi, Kunle
    Pitot, Henry C.
    Hamid, Omid
    Bhatia, Shailender
    Martins, Renato
    Eaton, Keith
    Chen, Shuming
    Salay, Theresa M.
    Alaparthy, Suresh
    Grosso, Joseph F.
    Korman, Alan J.
    Parker, Susan M.
    Agrawal, Shruti
    Goldberg, Stacie M.
    Pardoll, Drew M.
    Gupta, Ashok
    Wigginton, Jon M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2012, 366 (26) : 2455 - 2465