Tumor Detection

Tumor detection is the identification and characterization of abnormal cell growth, an essential step in diagnosing cancer and guiding treatment. It combines imaging, tissue biopsy, and molecular or immunological assays that detect changes in cell morphology, metabolism, genetic material, or tumor-associated antigens; immune-based methods may use antibodies to recognize specific proteins on malignant cells. In immunology and infection research, tumor detection helps distinguish cancer-related immune responses from inflammation caused by pathogens. Accurate detection supports early diagnosis, disease classification, treatment selection, and monitoring of tumor progression or response to therapy.

Tumor Detection - Related Videos

Research

JoVE Journal - Cancer Research

A Murine Orthotopic Bladder Tumor Model and Tumor Detection System

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Cited by 8 •

2017

This protocol describes the generation of murine orthotopic bladder tumors in female C57BL/6J mice and the monitoring of tumor growth.

Research

JoVE Journal - Cancer Research
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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

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Cited by 8 •

2016

This manuscript describes clinical protocols for two next-generation sequencing panels. One panel interrogates hematologic malignancies while the other panel targets genes commonly mutated in solid tumors. Molecular classification of driver mutations in human malignancies offers valuable prognostic and predictive information.

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

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Cited by 18 •

2012

Quantitative Real Time polymerase chain reaction (qPCR) is a rapid and sensitive method to investigate the expression levels of various microRNA (miRNA) molecules in tumor samples. Using this method expression of hundreds of different miRNA molecules can be amplified, quantified, and analyzed from the same cDNA template.

An In Vivo PET Imaging Technique to Detect Tumors in a Murine Model Using Radiolabeled Antibodies

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2025

This video demonstrates a technique involving a radioimmunoconjugate for the in vivo imaging of a tumor in a mouse model. Upon injection of the radioimmunoconjugate, the antibodies of the conjugate bind to a specific membrane antigen on the cancer cells. The radiotracer of the conjugate emits positrons that interact with neighboring electrons to produce energy, which is detected by a positron emission tomography (PET) scanner to create an image of the tumor.

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

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Cited by 64 •

2013

We describe the preparation of barcoded DNA libraries and subsequent hybridization-based exon capture for detection of key cancer-associated mutations in clinical tumor specimens by massively parallel "next generation" sequencing. Targeted exon sequencing offers the benefits of high throughput, low cost, and deep sequence coverage, thus yielding high sensitivity for detecting low frequency mutations.

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