Liquid biopsies are reshaping cancer diagnostics by enabling minimally invasive, repeatable sampling that captures dynamic disease changes over time. As clinical adoption expands, laboratories face growing pressure to deliver highly sensitive, reproducible results while navigating complex workflows, pre-analytical variability, and evolving analytical approaches.
This infographic provides an overview of liquid biopsy workflows, applications, and innovations addressing current limitations.
Download this infographic to discover:
- Key advantages of liquid biopsies
- End-to-end workflow considerations, from sample collection to bioinformatics
- Emerging technologies, including ultra-sensitive sequencing, methylation profiling, and multiomic approaches
Liquid biopsies involve the minimally invasive collection and analysis of biofluids to detect
disease-associated markers. Compared with tissue biopsies, they enable repeated sampling,
providing real-time insights into a patient’s disease.
In this infographic, we explore key technologies and emerging advances shaping the role
of liquid biopsies in cancer diagnosis and monitoring.
What are liquid biopsies?
Tissue biopsy Liquid biopsy
Invasive
Single timepoint snapshot
Limited sampling region
Challenging to repeat
May miss heterogeneity
Time-consuming
Minimally invasive
Longitudinal monitoring
Can capture systemic tumor signals
Easily repeatable
May better reflect tumor heterogeneity
Potentially faster turnaround times
The ctDNA liquid
biopsy workflow
Liquid biopsy workflows involve multiple steps
and vary depending on the analyte.
Clinical applications of liquid biopsies
Liquid biopsies could help to inform several aspects of cancer management.
Current challenges and limitations
Despite offering advantages over tissue biopsies, liquid biopsies still face limitations.
Emerging technologies and advances
Technological advances are helping to address limitations and increase the clinical utility
of liquid biopsies.
ctDNA is widely used as it:
• Is detectable across many cancer types
• Supports mutation profiling and
disease monitoring
• Is compatible with PCR and nextgeneration sequencing (NGS) workflows
Why standardization matters
Pre-analytical variables can significantly influence liquid biopsy results. Factors to consider include
sample collection, processing time, storage conditions, temperature, and freeze-thaw cycles.
Liquid biopsy workflow for ctDNA:
1. Sample collection
The sample is collected
from the patient.
2. Isolation
Plasma is isolated from whole
blood by centrifugation.
3. ctDNA extraction
Methods include silica-based
membranes, magnetic beads, or
phenol-chloroform extraction.
4. Detection
and quantification
Quantification is used to assess
sample quality and estimate ctDNA
abundance. ctDNA can be detected
using PCR or NGS methods. PCR-based
approaches detect known mutations
and include variations such as dPCR,
COLD-PCR, and BEAMing, while NGS
approaches can detect a broader
range of mutations and can use
targeted or untargeted panels.
5. Bioinformatics
analysis
Data is analyzed
and interpreted.
6. Clinical
decision‑making
Results inform cancer
management.
Diagnosis
• Profile tumors at
initial diagnosis
• Multi-cancer early
detection assays
Treatment selection
• Identification of
actionable variants
• Precision oncology
Monitoring
response
• Tracking tumor
burden
• Real-time assessment
of efficacy
Minimal residual
disease (MRD)
detection
• Detection of residual
disease
• Earlier identification
of relapse
Resistance
monitoring
• Emergence of
resistance
• Adaptive treatment
strategies
Sensitivity
• ctDNA may represent less
than 0.01% of total cfDNA
in some patients
• Particularly challenging in
early-stage disease
• Can result in false-negatives
Operational
• Long turnaround times
• Complex workflows
• Cost considerations
Standardization
• Limited harmonization
between laboratories
• Lack of reproducibility
across platforms
Specificity
• Distinguishing true tumor
signals from non-tumor
DNA
• Risk of false-positive
findings
Sample quality
• Variable pre-analytical
handling
• DNA degradation during
sample processing
Future directions
Liquid biopsies are expected to become an increasingly important component of precision oncology.
Routine
MRD-guided
treatment
decisions
Population-scale
multi-cancer
early detection
screening
AI-assisted liquid
biopsy dataset
interpretation
Integrated
multiomic
profiling from a
single blood draw
Greater adoption
of non-blood
liquid biopsy
approaches
Sponsored by
Liquid biopsy samples can
be sourced from several
biofluids, including:
• Blood
• Saliva
• Urine
• Cerebrospinal fluid
• Pleural effusion
A range of analytes can
be detected, including:
• Circulating tumor
DNA (ctDNA)
• Circulating tumor
cells
• Extracellular vesicles
• Non-coding RNAs
Several molecular
features can be
analyzed, including:
• Single nucleotide
polymorphisms
• Copy number
variations
• Insertions and
deletions
• Gene fusions and
translocations
• DNA methylation
Ultra-sensitive sequencing
Improved sequencing approaches
can detect rare tumor-derived variants
present at low frequencies.
• Duplex sequencing
• Error-corrected sequencing
• Improved sensitivity
in early-stage disease
• More reliable MRD detection
Analysis of cfDNA fragmentation
patterns provides information beyond
DNA sequence alone.
• Fragment size profiling and endpattern analysis
• Long-read sequencing approaches
• Improved cancer detection
• Better tissue-of-origin identification
Fragmentomics
DNA methylation signatures can reveal
ctDNA tissue sources and may enable
earlier cancer detection.
• Genome-wide methylation
profiling
• Bisulfite-free methylation methods
• Integration with other ctDNA
analyses
• Improved tissue-of-origin
determination
• Enhanced sensitivity for early-stage
cancers
Methylation-based assays
Combining multiple biological signals
can provide a more comprehensive
view of disease.
• Integration of genomics,
epigenomics, transcriptomics,
proteomics, and fragmentomics
• Increased diagnostic sensitivity
• Improved disease monitoring
Multiomic liquid biopsies
Researchers are increasingly
expanding liquid biopsy approaches
to use alternative biofluids for different
cancers.
• Urine
• Cerebrospinal fluid
• Saliva
• Improved access to tumor-specific
signals
• Expanded clinical applications
Beyond blood
Advanced computational methods are
helping extract clinically meaningful
signals from complex liquid biopsy
datasets.
• Pattern recognition across complex
datasets
• Noise reduction and signal
enhancement
• Predictive classification models
• Improved cancer detection
accuracy
• Personalized patient monitoring
AI and machine learning
Future developments may include:
Liquid Biopsies
in Cancer:
Technologies, Applications, and Emerging Advances
By Anna MacDonald | Designed by Janette Lee-Latour
While liquid biopsies are increasingly being used in other disease areas, their primary use is in cancer.