Liquid biopsy is an emerging non-invasive method for detecting cancer by analyzing a blood sample. By detecting traces of cancer biomarkers in the blood, liquid biopsy may provide insights into tumor genetics, evolution, and response to therapies. Some key aspects of liquid biopsy are discussed below.
How Liquid Biopsy Works
Liquid Biopsy works by detecting various types of biomarkers that tumors shed into the bloodstream. This includes circulating tumor cells (CTCs), cell-free DNA (cfDNA), extracellular vesicles, and other molecules. CTCs are actual cancer cells that detach from primary or metastatic tumor sites and enter the bloodstream. cfDNA consists of fragmented DNA from dying tumor cells. Both CTCs and cfDNA contain genetic signatures that can help identify cancer mutations. Advanced technologies like next-generation sequencing are used to analyze these blood biomarkers for cancer-related changes at the DNA, RNA, and protein levels.
Potential Clinical Applications
Some potential clinical applications of liquid biopsy include:
- Cancer Screening: Screening for cancer using a simple blood draw could greatly increase participation in screening programs. Liquid biopsy shows promise for screening cancers like lung, breast, colorectal, and pancreatic cancer.
- Diagnosis: Detecting tumor-specific biomarkers in blood may help diagnose cancer at an earlier stage than traditional methods. This could lead to better outcomes.
- Monitoring Disease Progression: Serial liquid biopsies over time may help monitor how a cancer is responding or becoming resistant to therapies without invasive tissue biopsies. This allows for timely treatment adjustments.
- Detection of Cancer Recurrence: Liquid biopsy can potentially detect returning or spreading of cancer earlier by identifying rising biomarker levels before clinical symptoms appear.
- Guiding Treatment Decisions: Analyzing biomarkers can provide insight into the genomic profile and mutations present in a tumor. This molecular information may help guide treatment selection and predict which therapies will work best.
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