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Research Article

Identification of biomarkers for early diagnosis of multiple myeloma by weighted gene co-expression network analysis and their clinical relevance

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References

  • Kumar SK, Rajkumar V, Kyle RA, et al. Multiple myeloma. Nat Rev Dis Primers. 2017;3:17046.
  • Palumbo A, Anderson K. Multiple myeloma. N Engl J Med. 2011;364(11):1046–1060.
  • Sonneveld P, Avet-Loiseau H, Lonial S, et al. Treatment of multiple myeloma with high-risk cytogenetics: a consensus of the International myeloma working group. Blood. 2016;127(24):2955–2962.
  • Rajkumar SV, Dimopoulos MA, Palumbo A, et al. International myeloma working group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15(12):e538–e548.
  • Niu J, Huang Y, Liu X, et al. Single-cell RNA-seq reveals different subsets of non-specific cytotoxic cells in teleost. Genomics. 2020;112(6):5170–5179.
  • Hu Z, Yang D, Tang Y, et al. Five-long non-coding RNA risk score system for the effective prediction of gastric cancer patient survival. Oncol Lett. 2019;17(5):4474–4486.
  • Liu Z, Li M, Fang X, et al. Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNA. J Cell Biochem 2019;120(4):5137–5150.
  • Li S, Liu X, Liu T, et al. Identification of biomarkers correlated with the TNM staging and overall survival of patients with bladder cancer. Front Physiol. 2017;8:947.
  • Langfelder P, Horvath S. Wgcna: an R package for weighted correlation network analysis. BMC Bioinf. 2008;9:559.
  • Feng J, Bian Q, He X, et al. A LncRNA-miRNA-mRNA ceRNA regulatory network based tuberculosis prediction model. Microb Pathog 2021;158:105069.
  • Zhou X, Wang Y, Chen J, et al. Constructing a 10-core genes panel for diagnosis of pediatric sepsis. J Clin Lab Anal. 2021;35(3):e23680.
  • Zhao C. Identifying the hub gene and immune infiltration of osteoarthritis by bioinformatical methods. Clin Rheumatol 2021;40(3):1027–1037.
  • Song Z-Y, Chao F, Zhuo Z, et al. Identification of hub genes in prostate cancer using robust rank aggregation and weighted gene co-expression network analysis. Aging (Albany NY). 2019;11(13):4736–4756.
  • Hu X, Bao M, Huang J, et al. Identification and validation of novel biomarkers for diagnosis and prognosis of hepatocellular carcinoma. Front Oncol. 2020;10:541479.
  • Gao M, Kong W, Huang Z, et al. Identification of Key genes related to lung squamous cell carcinoma using bioinformatics analysis. Int J Mol Sci. 2020;21(8.
  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69(1):7–34.
  • Mouhieddine TH, Weeks LD, Ghobrial IM. Monoclonal gammopathy of undetermined significance. Blood. 2019;133(23):2484–2494.
  • Kazandjian D. Multiple myeloma epidemiology and survival: A unique malignancy. Semin Oncol 2016;43(6):676–681.
  • Clavijo A, Ryan N, Xu H, et al. Measurement of monoclonal immunoglobulin protein concentration in serum protein electrophoresis: comparison of automated vs manual/human readings. Lab Med. 2020;51(3):252–258.
  • Singh G. Concentrations of serum free light chains in kappa and lambda lesions in light-chain myelomas. Lab Med. 2019;50(2):189–193.
  • Singh G. Serum free light chain assay and κ/λ ratio: Performance in patients With monoclonal gammopathy-high false negative rate for κ/λ ratio. J Clin Med Res. 2017;9(1):46–57.
  • Tan JMJ, Garner ME, Regeimbal JM, et al. Listeria exploits IFITM3 to suppress antibacterial activity in phagocytes. Nat Commun. 2021;12(1):4999.
  • Balmaceda N, Aziz M, Chandrasekar VT, et al. Infection risks in multiple myeloma: a systematic review and meta-analysis of randomized trials from 2015 to 2019. BMC Cancer. 2021;21(1):730.
  • Blimark C, Holmberg E, Mellqvist U-H, et al. Multiple myeloma and infections: a population-based study on 9253 multiple myeloma patients. Haematologica. 2015;100(1):107–113.
  • Méndez-Ferrer S, Bonnet D, Steensma DP, et al. Bone marrow niches in haematological malignancies. Nat Rev Cancer. 2020;20(5):285–298.
  • Manier S, Sacco A, Leleu X, et al. Bone marrow microenvironment in multiple myeloma progression. J Biomed Biotechnol. 2012;2012:157496.
  • Köhler M, Greil C, Hudecek M, et al. Current developments in immunotherapy in the treatment of multiple myeloma. Cancer. 2018;124(10):2075–2085.
  • Cavo M, Terpos E, Bargay J, et al. The multiple myeloma treatment landscape: international guideline recommendations and clinical practice in Europe. Expert Rev Hematol. 2018;11(3):219–237.
  • Wong CM, Tsang FH, Ng IO. Non-coding RNAs in hepatocellular carcinoma: molecular functions and pathological implications. Nat Rev Gastroenterol Hepatol. 2018;15(3):137–151.
  • Su H, Xu T, Ganapathy S, et al. Elevated snoRNA biogenesis is essential in breast cancer. Oncogene. 2014;33(11):1348–1358.
  • Xu G, Yang F, Ding C-L, et al. Small nucleolar RNA 113-1 suppresses tumorigenesis in hepatocellular carcinoma. Mol Cancer. 2014;13:216.
  • Okugawa Y, Toiyama Y, Toden S, et al. Clinical significance of SNORA42 as an oncogene and a prognostic biomarker in colorectal cancer. Gut. 2017;66(1):107–117.