ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
A guide for the analysis of long-term population growth in cancer.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
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- Modulation of Viability, Proliferation, and Stemness by Rosmarinic Acid in Medulloblastoma Cells: Involvement of HDACs and EGFR.Neuromolecular medicine · 2023Article
- Cytotoxicity of glucoevatromonoside alone and in combination with chemotherapy drugs and their effects on NaMolecular and cellular biochemistry · 2021Article
- Combined Inhibition of HDAC and EGFR Reduces Viability and Proliferation and Enhances STAT3 mRNA Expression in Glioblastoma Cells.Journal of molecular neuroscience : MN · 2019Article
- Targeting Histone Deacetylase Activity to Arrest Cell Growth and Promote Neural Differentiation in Ewing Sarcoma.Molecular neurobiology · 2018Article
- Combination Therapy with Sulfasalazine and Valproic Acid Promotes Human Glioblastoma Cell Death Through Imbalance of the Intracellular Oxidative Response.Molecular neurobiology · 2018Article
- Low Dose of Doxorubicin Potentiates the Effect of Temozolomide in Glioblastoma Cells.Molecular neurobiology · 2018Article
- Cytotoxic effects of the cardenolide convallatoxin and its Na,K-ATPase regulation.Molecular and cellular biochemistry · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although cancer is a chronic disease, most of the in vitro experiments to assess the effectiveness of intervention are performed in hours or a few days. Moreover, none of the available methodologies to measure cell proliferation are adapted to provide information about the growth kinetic during and after treatment. Thus, the objective of this work is to provide a guide to assess long-term changes in cell population size to be used mainly in cancer research. Cumulative population doubling (CPD) graphs based on cell counting for in vitro or tumor volume for in vivo assays were used to calculate four parameters: relative end CPD (RendCPD), to quantify the end point analysis of proliferation; relative area under curve (rAUC), to describe the global chronic effect of a treatment; relative time to cross a threshold (RTCT), to indicate the delay in cell population recovery produced by a treatment; and relative proliferation rate (RPR), to describe the relative regrowth velocity of the cells that survived after treatment. These parameters describe not only the acute and chronic effects of a treatment but also the behavior of cells that are not eliminated by the treatment, providing crucial information about the growth kinetic of the surviving population. Moreover, the proposed analysis allowed the grouping of independent CPD experiments quantified at different time points and even the direct comparison of in vitro and in vivo experiments. Therefore, this new way to analyze long-term outcomes provides a global view of the effectiveness of an intervention, as an important tool for long-term studies.
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