Cancer Cell Lines Are Useful Model Systems for Medical Research

被引:211
|
作者
Mirabelli, Peppino [1 ]
Coppola, Luigi [1 ]
Salvatore, Marco [1 ]
机构
[1] IRCCS SDN, I-80143 Naples, Italy
关键词
cell lines; solid cancer; leukemia; medical research; biological samples; IN-VITRO MODELS; ANTICANCER DRUG SCREEN; HELA-CELLS; CROSS-CONTAMINATION; GENE-EXPRESSION; IDENTIFICATION; ESTABLISHMENT; CULTURES; DATABASE; DEPENDENCY;
D O I
10.3390/cancers11081098
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Cell lines are in vitro model systems that are widely used in different fields of medical research, especially basic cancer research and drug discovery. Their usefulness is primarily linked to their ability to provide an indefinite source of biological material for experimental purposes. Under the right conditions and with appropriate controls, authenticated cancer cell lines retain most of the genetic properties of the cancer of origin. During the last few years, comparing genomic data of most cancer cell lines has corroborated this statement and those that were observed studying the tumoral tissue equivalents included in the The Cancer Genome Atlas (TCGA) database. We are at the disposal of comprehensive open access cell line datasets describing their molecular and cellular alterations at an unprecedented level of accuracy. This aspect, in association with the possibility of setting up accurate culture conditions that mimic the in vivo microenvironment (e.g., three-dimensional (3D) coculture), has strengthened the importance of cancer cell lines for continuing to sustain medical research fields. However, it is important to consider that the appropriate use of cell lines needs to follow established guidelines for guaranteed data reproducibility and quality, and to prevent the occurrence of detrimental events (i.e., those that are linked to cross-contamination and mycoplasma contamination).
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Sphere-forming cell subpopulations with cancer stem cell properties in human hepatoma cell lines
    Cao, Lu
    Zhou, Yanming
    Zhai, Beibei
    Liao, Jian
    Xu, Wen
    Zhang, Ruixiu
    Li, Jing
    Zhang, Yu
    Chen, Lei
    Qian, Haihua
    Wu, Mengchao
    Yin, Zhengfeng
    BMC GASTROENTEROLOGY, 2011, 11
  • [32] Engineered cell lines for fish health research
    Collet, Bertrand
    Collins, Catherine
    Lester, Katherine
    DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY, 2018, 80 : 34 - 40
  • [33] Tick Cell Lines in Research on Tick Control
    Al-Rofaai, Ahmed
    Bell-Sakyi, Lesley
    FRONTIERS IN PHYSIOLOGY, 2020, 11
  • [34] Translational approaches in cancer stem cell research
    Mozet, C.
    Wichmann, G.
    Dietz, A.
    HNO, 2011, 59 (09) : 859 - 865
  • [35] Systematic Review: Characteristics and Preclinical Uses of Bladder Cancer Cell Lines
    Zuiverloon, Tahlita C. M.
    de Jong, Florus C.
    Costello, James C.
    Theodorescu, Dan
    BLADDER CANCER, 2018, 4 (02) : 169 - 183
  • [36] Genomic complexity and targeted genes in anaplastic thyroid cancer cell lines
    Woodward, Eleanor L.
    Biloglav, Andrea
    Ravi, Naveen
    Yang, Minjun
    Ekblad, Lars
    Wennerberg, Johan
    Paulsson, Kajsa
    ENDOCRINE-RELATED CANCER, 2017, 24 (05) : 209 - 220
  • [37] Relevance of breast cancer cell lines as models for breast tumours: an update
    Lacroix, M
    Leclercq, G
    BREAST CANCER RESEARCH AND TREATMENT, 2004, 83 (03) : 249 - 289
  • [38] Integrated Genomic, Epigenomic, and Expression Analyses of Ovarian Cancer Cell Lines
    Papp, Eniko
    Hallberg, Dorothy
    Konecny, Gottfried E.
    Bruhm, Daniel C.
    Adleff, Vilmos
    Noe, Michael
    Kagiampakis, Ioannis
    Palsgrove, Doreen
    Conklin, Dylan
    Kinose, Yasuto
    White, James R.
    Press, Michael F.
    Drapkin, Ronny
    Easwaran, Hariharan
    Baylin, Stephen B.
    Slamon, Dennis
    Velculescu, Victor E.
    Scharpf, Robert B.
    CELL REPORTS, 2018, 25 (09): : 2617 - 2633
  • [39] IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
    Shoaib, Muhammad
    Ansari, Adnan Ahmad
    Haq, Farhan
    Ahn, Sung Min
    GENES, 2019, 10 (02):
  • [40] Pan-cancer proteomic map of 949 human cell lines
    Goncalves, Emanuel
    Poulos, Rebecca C.
    Cai, Zhaoxiang
    Barthorpe, Syd
    Manda, Srikanth S.
    Lucas, Natasha
    Beck, Alexandra
    Bucio-Noble, Daniel
    Dausmann, Michael
    Hall, Caitlin
    Hecker, Michael
    Koh, Jennifer
    Lightfoot, Howard
    Mahboob, Sadia
    Mali, Iman
    Morris, James
    Richardson, Laura
    Seneviratne, Akila J.
    Shepherd, Rebecca
    Sykes, Erin
    Thomas, Frances
    Valentini, Sara
    Williams, Steven G.
    Wu, Yangxiu
    Xavier, Dylan
    MacKenzie, Karen L.
    Hains, Peter G.
    Tully, Brett
    Robinson, Phillip J.
    Zhong, Qing
    Garnett, Mathew J.
    Reddel, Roger R.
    CANCER CELL, 2022, 40 (08) : 835 - +