Tumor Growth Analysis
Tumor Growth Analysis - Related Videos
11:09
Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging
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Cited by 104 •
2010
Luciferase-modified human brain tumor xenografts can be established intracranially in athymic mice, with subsequent monitoring of tumor growth and response to therapy using bioluminescence imaging. In combination with survival analysis, bioluminescence monitoring is an essential research tool for pre-clinical testing of therapies being considered for treating brain tumors.
07:55
The Influence of Liver Resection on Intrahepatic Tumor Growth
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Cited by 6 •
2016
A high incidence of tumor recurrence after resection of liver metastases remains an unsolved problem. The illustrated mouse model may be useful to investigate the reasons for such recurrences. It combines a liver resection model with intrahepatic tumor cell injection for the first time.
09:14
An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth
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Cited by 39 •
2011
A modified 3-D in vitro system is presented in which growth characteristics of several tumor cell lines in reconstituted basement membrane correlate with the dormant or proliferative behavior of the tumor cells at a metastatic secondary site in vivo.
08:11
Measuring Growth and Gene Expression Dynamics of Tumor-Targeted S. Typhimurium Bacteria
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Cited by 22 •
2013
The goal of these experiments is to generate quantitative time-course data on the growth and gene expression dynamics of attenuated S. typhimurium bacterial colonies growing inside tumors. This video covers tumor cell preparation and implantation, bacteria preparation and injection, whole-animal luminescence imaging, tumor excision, and bacterial colony counting.
02:08
Bioluminescence Imaging to Assess Tumor Growth in an Organotypic Mouse Brain Slice
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2025
Source: Ciraku, L., et. al. An Ex Vivo Brain Slice Model to Study and Target Breast Cancer Brain Metastatic Tumor Growth. J. Vis. Exp. (2021).This video demonstrates the imaging of luciferase-expressing tumor cells in an organotypic mouse brain slice. Luciferin is added to the medium, and the plate is placed inside the chamber of the in vivo imaging system. Parameters for image capture are adjusted, and the tumor's shape and size are defined. The bioluminescent signals emitted by the tumor...
FAQs
A single observation provides a snapshot, but serial observations show how tumor measurements change over time. That temporal pattern can distinguish ongoing growth from a different course and can be compared with treatment exposure to assess whether disease appears controlled. Repeated data therefore strengthen interpretation of progression and therapeutic response.
Dimensions, calculated volume, and cell number describe different measurable aspects of tumor change. Dimensions provide size measurements, volume supplies a calculated size value, and cell number addresses the quantity of cells. Using the metric that matches the research question helps investigators compare observations consistently and avoid treating every change as the same biological outcome.
Measurements of biological activity add information that physical size alone cannot provide. Histological analysis can examine cellular proliferation, while molecular markers can indicate biological changes associated with the tumor. Pairing these observations with size or cell-number measurements gives a broader assessment of tumor behavior and can help evaluate treatment response from more than one perspective.
Growth curves organize serial measurements into a time-based pattern, making changes easier to compare within an experiment or across treatment observations. They can show the course of tumor change and provide a framework for judging progression or response. This approach is especially useful when individual measurements are difficult to interpret without their surrounding timeline.
A basic workflow begins by selecting a measurable tumor feature, collecting observations at multiple time points, and recording the results using dimensions, calculated volume, cell number, or biological markers. Investigators then compare the serial values, examine growth curves or other summaries, and relate the pattern to disease progression or treatment response.
Imaging, physical examination, histological analysis, and molecular markers provide complementary ways to collect evidence. Imaging or examination can supply observations of tumor size, whereas histological and molecular approaches can address cellular proliferation or biological activity. The appropriate combination depends on whether the analysis emphasizes dimensions, cell number, activity, or treatment-related change.
In medicine, the analysis supports several decisions rather than a single endpoint. Serial evidence can help characterize tumor behavior, contribute to assessment of disease progression, and inform evaluation of treatment control. It also provides information relevant to diagnosis and prognosis, allowing clinicians or researchers to place an observed tumor pattern within a broader clinical assessment.
Standardized tumor measurements make findings more comparable across experiments, clinical studies, and patient populations. Applying consistent measures such as dimensions, calculated volume, growth curves, or marker-based observations allows investigators to examine whether patterns are reproducible. This comparability strengthens the use of tumor growth data in research and in evaluating treatment-related outcomes.