Tumor Regression Monitoring
Tumor Regression Monitoring - Related Videos
01:52
Regression Toward the Mean
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2020
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
06:26
PTM Based Tumor Microenvironment Monitoring: A Method for Tracking Changes in ECM Rigidity Using Tumor Spheroids
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2023
This protocol describes a technique for monitoring extracellular matrix rigidity changes by using particle-tracking microrheology (PTM). This is done by culturing 3D pancreatic tumor spheroids into ECM with embedded fluorescent probes for video particle-tracking and analysis.
03:07
Morphological and Physiological Monitoring of Tumor Spheroids Using Optical Coherence Tomography
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2025
Source: Huang, Y. et. al., Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography. J. Vis. Exp. (2019)This video demonstrates the use of optical coherence tomography (OCT) to monitor tumor spheroids in a multi-well plate by capturing high-resolution cross-sectional images. By analyzing light reflections from cellular structures, OCT constructs 3D models to assess morphological features like size and shape while also...
10:35
An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
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Cited by 18 •
2010
To study in vivo tumor growth and tumor microenvironment, we used a syngeneic and orthotopic mouse model of ovarian cancer in immunocompetent animals. We transduced a mouse tumor cell line (MOV1) with Katushka fluorescent protein (MOV1KAT) and here we show its orthotopic implantation in ovary and in vivo imaging.
01:11
Regression Analysis
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2023
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables. In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as: In the equation, is the dependent variable, x...
FAQs
A lesion may temporarily increase in size when immune cells enter the tumor and produce treatment-related structural changes. This pattern, called pseudoprogression, differs from enlargement caused by continued malignant growth. Interpreting the finding alongside later imaging, clinical findings, and biomarkers helps prevent an early apparent increase from being mistaken for treatment failure.
Tumor size indicates changes in overall burden, while structural features can reveal alterations that are not captured by measurements alone. Biological activity, assessed through blood or tissue biomarkers, adds information about treatment response and immune effects. Considering these dimensions together can clarify whether a tumor is responding, remaining controlled, or showing evidence of resistance.
Serial changes can separate a favorable treatment response from persistent or recurring disease, supporting recognition of therapeutic resistance. Clinical findings and biomarker results also provide context for changes that may reflect treatment-related toxicity rather than tumor behavior. This combined interpretation is particularly important for evaluating immune-based therapies, whose effects may not be reflected by size alone.
Assessment typically combines serial imaging with clinical findings and measurements from blood or tissue. Imaging follows changes in tumor size and structure, whereas clinical observations provide patient-level context. Blood and tissue biomarkers can indicate biological activity or immune-related changes. Using these sources together creates a more informative longitudinal record than relying on one measurement.
Researchers and clinicians compare findings across repeated assessments to determine whether tumor burden is decreasing, changing atypically, remaining controlled, or suggesting resistance. The interpretation can inform decisions about continuing or reconsidering therapy, while clinical findings and toxicity signals add safety context. In immunotherapy studies, this approach helps distinguish delayed response patterns from unfavorable progression.
It provides a framework for evaluating whether immune-based therapies produce meaningful and durable tumor control. Tracking imaging findings alongside blood or tissue biomarkers can support investigation of immune-cell infiltration and other response-associated signals. These measurements also help researchers identify biomarkers that may predict treatment benefit, clarify resistance, and improve interpretation of therapeutic outcomes.