Impact of Cell Density on the Accuracy of Anticancer Drug Efficacy Evaluation

XUE Zhichao; ZHAO Jiawei; LI Yongshu; ZENG Jiaming; GONG Xiaoyun

doi:10.12338/j.issn.2096-9015.2022.0272

Volume 67 Issue 4

Apr. 2023

Turn off MathJax

Article Contents

Article Navigation > Metrology Science and Technology > 2023 > 67(4): 57-62, 56

XUE Zhichao, ZHAO Jiawei, LI Yongshu, ZENG Jiaming, GONG Xiaoyun. Impact of Cell Density on the Accuracy of Anticancer Drug Efficacy Evaluation[J]. Metrology Science and Technology, 2023, 67(4): 57-62, 56. doi: 10.12338/j.issn.2096-9015.2022.0272

Citation:

XUE Zhichao, ZHAO Jiawei, LI Yongshu, ZENG Jiaming, GONG Xiaoyun. Impact of Cell Density on the Accuracy of Anticancer Drug Efficacy Evaluation[J]. Metrology Science and Technology, 2023, 67(4): 57-62, 56. doi: 10.12338/j.issn.2096-9015.2022.0272

Citation:

PDF( 1922 KB)

Impact of Cell Density on the Accuracy of Anticancer Drug Efficacy Evaluation

doi: 10.12338/j.issn.2096-9015.2022.0272

1.
National Institute of Metrology, Beijing 100029, China
2.
China Jiliang University, Hangzhou 322002, China
3.
Shenzhen Institute for Technology Innovation, National Institute of Metrology, Shenzhen 518055, China

Received Date: 2022-11-16
Accepted Date: 2022-12-08
Rev Recd Date: 2023-04-07

Available Online: 2023-04-18

Publish Date: 2023-04-18

Abstract

Abstract

The seeding density of cells, which directly influences the resultant adherent cell density, is a crucial factor affecting the accuracy of subsequent biological experiments. In this study, Hela cell line was used as a model, with two commonly used seeding densities in in vitro experiments: 3000 cells/well and 4000 cells/well. Differences in post-seeding coverage area, growth rates, and the outcomes of drug experiments with traditional chemotherapy and novel targeted therapeutics were compared between these two seeding densities. Significant statistical differences were observed in coverage area between the two groups (P < 0.05). Furthermore, the growth rate at 4000 cells/well was found to be higher than at 3000 cells/well. During the use of the conventional chemotherapy drug, Cisplatin, there was no significant difference in drug inhibition rates between the two cell densities at days 1, 3, and 5. However, when the cell cycle inhibitor Palbociclib was used, significant differences in drug inhibition rates were observed on days 1, 3, and 5. Therefore, the initial seeding density of cells can significantly impact the evaluation of some specific drugs.
- metrology,
- cell measurement,
- cell density,
- growth rate,
- drug inhibition rate,
- anticancer drugs

FullText(HTML)

References(30)

References

[1]	Wilding J. L, Bodmer. Cancer cell lines for drug discovery and development[J]. Cancer research:The official organ of the American Association for Cancer Research, Inc, 2014, 74(9): 2377-2384.
[2]	刘佳敏, 贾晓青, 狄斌. 三维细胞模型在肿瘤研究中的应用[J]. 中国药科大学学报, 2020, 51(2): 152-160.
[3]	余利星, 翟睿, 龚晓云, 等. 基于磁性纳米材料分离的肿瘤标志物HSP90α质谱分析方法[J]. 计量技术, 2020(5): 14-18,78.
[4]	Faruqui N, Kummrow A, Fu B, et al. Cellular Metrology: Scoping for a Value Proposition in Extra- and Intracellular Measurements[J]. Frontiers in Bioengineering and Biotechnology, 2019, 7: 456.
[5]	Wong C H, Siah K W, Lo A W. Estimation of clinical trial success rates and related parameters[J]. Biostatistics, 2019, 20(2): 273-286. doi: 10.1093/biostatistics/kxx069
[6]	吴雪, 薄梦, 孙晓璟, 等. 液相色谱-质谱法检测甲磺酸沙非胺中基因毒性杂质[J]. 计量科学与技术, 2022, 66(11): 27-30. doi: 10.12338/j.issn.2096-9015.2021.0632
[7]	谭思源, 李曼莉, 傅博强, 等. 单细胞质谱分析方法研究进展[J]. 计量科学与技术, 2021, 65(5): 20-29,13. doi: 10.12338/j.issn.2096-9015.2020.9021
[8]	汤逸飞, 屠雨晨, 黄芳, 等. 基于QuEChERS-气相色谱三重四级杆串联质谱内标法测定结球甘蓝中30种农药残留的不确定度评定[J]. 计量科学与技术, 2022, 66(2): 25-32,8.
[9]	李晶晶, 罗明志, 杨莹, 等. 三种细胞计数法的对比试验研究[J]. 江西科技师范大学学报, 2016(6): 79-81. doi: 10.3969/j.issn.1007-3558.2016.06.012
[10]	Iloki A. Cell growth curves for different cell lines and their relationship with biological activities[J]. International Journal of Biotechnology & Molecular Biology Research, 2013, 4(4): 60-70.
[11]	Mirabelli, Coppola, Salvatore. Cancer Cell Lines Are Useful Model Systems for Medical Research[J]. Cancers, 2019, 11(8): 1098. doi: 10.3390/cancers11081098
[12]	Bitar, M. , R. A. Brown, V. Salih, et al. , Effect of Cell Density on Osteoblastic Differentiation and Matrix Degradation of Biomimetic Dense Collagen Scaffolds. Biomacromolecules, 2008. 9(1): 129-135.
[13]	Abe M, Havre P A, Urasaki Y, et al. Mechanisms of confluence-dependent expression of CD26 in colon cancer cell lines[J]. BMC Cancer, 2011, 11: 51. doi: 10.1186/1471-2407-11-51
[14]	Amoozadeh Y, Anwer S, Dan Q, et al. Cell confluence regulates claudin-2 expression: possible role for ZO-1 and Rac[J]. American Journal of Physiology Cell Physiology, 2018, 314(3): C366-C378. doi: 10.1152/ajpcell.00234.2017
[15]	Poumay Y, Pittelkow M R. Cell density and culture factors regulate keratinocyte commitment to differentiation and expression of suprabasal K1/K10 keratins.[J]. Journal of Investigative Dermatology, 1995, 104(2): 271-276. doi: 10.1111/1523-1747.ep12612810
[16]	Nusinow D P, Szpyt J, Ghandi M, et al. Quantitative Proteomics of the Cancer Cell Line Encyclopedia[J]. Cell, 2020, 180(2): 387-402. doi: 10.1016/j.cell.2019.12.023
[17]	Garnett M. J, E. J. Edelman, S. J. Heidorn, et al, Systematic identification of genomic markers of drug sensitivity in cancer cells[J]. Nature, 2012, 483(7391): 570-575. doi: 10.1038/nature11005
[18]	Araujo R P, Liotta L A, Petricoin E F. Proteins, drug targets and the mechanisms they control: the simple truth about complex networks.[J]. Nature Reviews Drug Discovery, 2007, 6(11): 871-880. doi: 10.1038/nrd2381
[19]	Kobayashi H, Ohnuma T T. Relationship between tumor cell density and drug concentration and the cytotoxic effects of doxorubicin or vincristine: mechanism of inoculum effects[J]. Cancer Chemotherapy& Pharmacology, 1992, 31(1): 6-10.
[20]	Greene J M, Levy D, Herrada S P, et al. Mathematical modeling reveals that changes to local cell density dynamically modulate baseline variations in cell growth and drug response[J]. Cancer Research, 2016, 76(10): 2882-2890. doi: 10.1158/0008-5472.CAN-15-3232
[21]	Bena C E, MD Giudice, Grob A, et al. Initial cell density encodes proliferative potential in cancer cell populations[J]. Scientific Reports, 2021, 11(1): 6101. doi: 10.1038/s41598-021-85406-z
[22]	Berre M L, Gerlach J Q, Dziembaa I, et al. Calculating Half Maximal Inhibitory Concentration[J]. Methods Mol Biol, 2022, 2460: 89-111.
[23]	Lorusso D, Petrelli F, Coinu A, et al. A systematic review comparing cisplatin and carboplatin plus paclitaxel-based chemotherapy for recurrent or metastatic cervical cancer[J]. Gynecologic Oncology, 2014, 133(1): 117-123. doi: 10.1016/j.ygyno.2014.01.042
[24]	Florea A M, Büsselberg, Dietrich. Cisplatin as an Anti-Tumor Drug: Cellular Mechanisms of Activity, Drug Resistance and Induced Side Effects[J]. Cancers, 2011, 3(1): 1351-1371. doi: 10.3390/cancers3011351
[25]	韦棋, 苏福海. GC-MS和LC-MS/MS法测定毛发中的6种苯丙胺类药物[J]. 计量科学与技术, 2022, 66(4): 48-54.
[26]	胡和平. 血细胞分析仪的工作原理及血细胞分类计数[J]. 计量与测试技术, 2012, 39(5): 4,6. doi: 10.3969/j.issn.1004-6941.2012.05.002
[27]	陈桂芳, 欧阳艳艳, 杨佳怡, 等. 核酸标准物质测量方法研究进展[J]. 计量科学与技术, 2021, 65(6): 25-33. doi: 10.12338/j.issn.2096-9015.2020.9022
[28]	易可可, 谢洁, 江游, 等. 液相色谱-串联质谱技术在临床检验中的应用研究进展[J]. 质谱学报, 2022, 43(6): 804-816. doi: 10.7538/zpxb.2021.0146
[29]	易可可, 谢洁, 龚晓云, 等. 液相色谱-串联质谱应用研究进展[J]. 计量科学与技术, 2021(2): 7-15,6.
[30]	薛志超, 曾嘉明, 李永淑, 等. 接种数量对细胞生长和药物作用的影响及细胞计数方法对比[J]. 计量学报, 2023(3): 1-9.