Tumor Growth Study
Tumor Growth Study - Related Videos
09:14
An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth
0 Views •
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.
12:09
A Novel High-resolution In vivo Imaging Technique to Study the Dynamic Response of Intracranial Structures to Tumor Growth and Therapeutics
0 Views •
Cited by 14 •
2013
We describe a novel in vivo imaging technique that couples fluorescent chimeric mice with intracranial windows and high-resolution 2-photon microscopy. This imaging platform aids studies of dynamic changes in brain tissue and microvasculature, at a single-cell level, following pathological insults and is adaptable to assess intracranial drug delivery and distribution.
07:55
The Influence of Liver Resection on Intrahepatic Tumor Growth
0 Views •
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.
09:53
Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies
0 Views •
Cited by 18 •
2016
We describe a method for stable labeling of patient-derived xenografts (PDXs) with lentiviral particles expressing green-fluorescent protein and luciferase reporters. This method allows for tracking the growth of PDXs at the primary site, as well as detecting spontaneous and experimental metastases using in vivo imaging systems.
10:04
Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
0 Views •
Cited by 16 •
2015
Human multiple myeloma (MM) cells require the supportive microenvironment of mesenchymal cells and extracellular matrix components for survival and proliferation. We established an in vivo chicken embryo model with engrafted human myeloma and mesenchymal cells to study effects of cancer drugs on tumor growth, invasion and angiogenesis.
FAQs
Observed tumor enlargement reflects the combined effects of cancer cell proliferation and cell death, rather than proliferation alone. Invasion and interactions with surrounding tissue can also alter how the tumor develops over time. Considering these processes helps researchers interpret size changes in relation to disease progression and distinguish different biological patterns.
Mass and volume are two ways to track changes in tumor size, and each can provide a distinct measurement of progression. Comparing these measurements over time helps researchers relate physical growth to underlying biological activity. This creates a basis for evaluating whether tumors follow similar or different patterns under biological or therapeutic conditions.
Researchers compare tumor changes under therapeutic conditions with changes observed during disease progression or other experimental conditions. If growth patterns do not respond as expected, the results may indicate reduced treatment effectiveness or factors associated with resistance. These comparisons help identify resistance-related patterns and support the development of more effective therapeutic strategies.
A study typically records tumor mass or volume at multiple points during development or treatment. Researchers then relate those measurements to changes over time and to the biological or therapeutic conditions being examined. Organizing the data in this way supports comparisons among disease states, treatment responses, and patterns of progression.
Tumor growth measurements provide a way to compare how tumors change under therapeutic conditions. Researchers can examine whether the observed progression differs from the pattern expected without effective control, while also considering processes such as cell proliferation and death. The resulting comparisons help assess treatment effectiveness and guide therapeutic strategy development.
Data from tumor growth studies can be incorporated into cancer models that represent disease progression and responses to treatment. The same measurements may help identify biomarkers associated with growth patterns, therapeutic effects, or resistance. These applications connect observed tumor changes with broader research goals, including improved treatment design and more informative disease characterization.