中文English
ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 40 Issue 3
Mar.  2024
Turn off MathJax
Article Contents

Expert consensus on the molecular diagnosis of early-stage pancreatic cancer (2023 edition)

DOI: 10.12449/JCH240306
Research funding:

Natural National Science Foundation of China (81770846);

Natural National Science Foundation of China (81642006);

U.S. Hirshberg Foundation for Pancreatic Cancer Research (AH201901083);

Kante Seeds Grant Foundation for Cancer Research (KD2021030001)

  • Received Date: 2024-01-12
  • Accepted Date: 2024-02-01
  • Published Date: 2024-03-20
  • Pancreatic cancer is a relatively common tumor of the digestive system, with difficulties in early-stage diagnosis and an extremely high degree of malignancy. Molecular diagnostic technology based on tumor biomarkers, combined with the existing gold standard in clinical practice, is of great clinical significance to achieve early accurate identification, timely treatment and intervention, and reduction in mortality. Previous studies have shown that miRNAs show high specificity in terms of types and expression levels in different pathological stages of pancreatic cancer and can thus be used in monitoring the development and progression of pancreatic cancer. Since a single miRNA has a limited diagnostic potential, the combination of different miRNAs may effectively improve the diagnostic efficiency of early-stage pancreas carcinogenesis. Based on related research advances in recent years, this consensus document aims to fill the gap in molecular diagnostic technology in the guidelines for the clinical diagnosis and treatment of pancreatic cancer and provide expert guidance and recommendations.

     

  • loading
  • [1]
    ZHENG RS, ZHANG SW, ZENG HM, et al. Cancer incidence and mortality in China, 2016[J]. J Natl Cancer Cent, 2022, 2( 1): 1- 9. DOI: 10.1016/j.jncc.2022.02.002.
    [2]
    KANDA M, MATTHAEI H, WU J, et al. Presence of somatic mutations in most early-stage pancreatic intraepithelial neoplasia[J]. Gastroenterology, 2012, 142( 4): 730- 733. e 9. DOI: 10.1053/j.gastro.2011.12.042.
    [3]
    MARIN AM, BATISTA M, de AZEVEDO ALK, et al. Screening of exosome-derived proteins and their potential as biomarkers in diagnostic and prognostic for pancreatic cancer[J]. Int J Mol Sci, 2023, 24( 16): 12604. DOI: 10.3390/ijms241612604.
    [4]
    HANAHAN D, WEINBERG RA. Hallmarks of cancer: The next generation[J]. Cell, 2011, 144( 5): 646- 674. DOI: 10.1016/j.cell.2011.02.013.
    [5]
    HUANG J, GAO G, GE Y, LIU JZ, et al. Development of a serum-based microRNA signature for early detection of pancreatic cancer: a multicenter cohort study[J]. Dig Dis Sci, 2024.[Forthcoming]
    [6]
    LI H, CHIANG CL, KWAK KJ, et al. Extracellular vesicular analysis of glypican 1 mRNA and protein for pancreatic cancer diagnosis and prognosis[J]. Adv Sci(Weinh), 2024. DOI: 10.1002/advs.202306373.[ Online ahead of Print]
    [7]
    KAMAL MA, SIDDIQUI I, BELGIOVINE C, et al. Oncogenic KRAS-induced protein signature in the tumor secretome identifies laminin-C2 and pentraxin-3 as useful biomarkers for the early diagnosis of pancreatic cancer[J]. Cancers(Basel), 2022, 14( 11): 2653. DOI: 10.3390/cancers14112653.
    [8]
    CAVE DD, BUONAIUTO S, SAINZ B Jr, et al. LAMC2 marks a tumor-initiating cell population with an aggressive signature in pancreatic cancer[J]. J Exp Clin Cancer Res, 2022, 41( 1): 315. DOI: 10.1186/s13046-022-02516-w.
    [9]
    CHEN XB, LIAO XM, ZHENG BL, et al. Differential plasma proteins identified via iTRAQ-based analysis serve as diagnostic markers of pancreatic ductal adenocarcinoma[J]. Dis Markers, 2023, 2023: 5145152. DOI: 10.1155/2023/5145152.
    [10]
    LUO XL, LIU JJ, WANG HZ, et al. Metabolomics identified new biomarkers for the precise diagnosis of pancreatic cancer and associated tissue metastasis[J]. Pharmacol Res, 2020, 156: 104805. DOI: 10.1016/j.phrs.2020.104805.
    [11]
    ZHAO R, REN S, LI CY, et al. Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study[J]. Cancer Med, 2023, 12( 4): 5158- 5171. DOI: 10.1002/cam4.5296.
    [12]
    CAO YY, ZHAO R, GUO K, et al. Potential metabolite biomarkers for early detection of stage-I pancreatic ductal adenocarcinoma[J]. Front Oncol, 2022, 11: 744667. DOI: 10.3389/fonc.2021.744667.
    [13]
    SAHNI S, PANDYA AR, HADDEN WJ, et al. A unique urinary metabolomic signature for the detection of pancreatic ductal adenocarcinoma[J]. Int J Cancer, 2021, 148( 6): 1508- 1518. DOI: 10.1002/ijc.33368.
    [14]
    SKUBISZ K, DĄBKOWSKI K, SAMBOROWSKA E, et al. Serum metabolite biomarkers for pancreatic tumors: Neuroendocrine and pancreatic ductal adenocarcinomas-a preliminary study[J]. Cancers(Basel), 2023, 15( 12): 3242. DOI: 10.3390/cancers15123242.
    [15]
    EISSA MAL, LERNER L, ABDELFATAH E, et al. Promoter methylation of ADAMTS1 and BNC1 as potential biomarkers for early detection of pancreatic cancer in blood[J]. Clin Epigenetics, 2019, 11( 1): 59. DOI: 10.1186/s13148-019-0650-0.
    [16]
    LI SY, WANG L, ZHAO Q, et al. Genome-wide analysis of cell-free DNA methylation profiling for the early diagnosis of pancreatic cancer[J]. Front Genet, 2020, 11: 596078. DOI: 10.3389/fgene.2020.596078.
    [17]
    SCHOTT S, YANG RX, STÖCKER S, et al. HYAL2 methylation in peripheral blood as a potential marker for the detection of pancreatic cancer: A case control study[J]. Oncotarget, 2017, 8( 40): 67614- 67625. DOI: 10.18632/oncotarget.18757.
    [18]
    WU YN, SEUFERT I, AL-SHAHERI FN, et al. DNA-methylation signature accurately differentiates pancreatic cancer from chronic pancreatitis in tissue and plasma[J]. Gut, 2023, 72( 12): 2344- 2353. DOI: 10.1136/gutjnl-2023-330155.
    [19]
    MAKLER A, ASGHAR W. Exosomal miRNA biomarker panel for pancreatic ductal adenocarcinoma detection in patient plasma: A pilot study[J]. Int J Mol Sci, 2023, 24( 6): 5081. DOI: 10.3390/ijms24065081.
    [20]
    XIAO D, DONG ZJ, ZHEN LQ, et al. Combined exosomal GPC1, CD82, and serum CA19-9 as multiplex targets: A specific, sensitive, and reproducible detection panel for the diagnosis of pancreatic cancer[J]. Mol Cancer Res, 2020, 18( 2): 300- 310. DOI: 10.1158/1541-7786.MCR-19-0588.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(3)

    Article Metrics

    Article views (754) PDF downloads(349) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return