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. 2021 Sep 28;11(10):971. doi: 10.3390/jpm11100971

Table 2.

Advantages and disadvantages of the liquid biomarkers with potential use in immunotherapy response monitoring.

Liquid Biomarker Advantages Disadvantages
ctDNA 1 -Ready access to genetic material of the primary tumour
-Dynamic information over the course of treatment
-Predictive value in quantification of absolute levels and alternate source for TMB calculation
-Limits of detection: allele fraction and variant calling pipelines may produce many false negatives and/or false positives
-Lack of standardization of thresholds
CTCs 2 -Provide reflection of tumour status and tumour heterogeneity
-Dynamic information over the course of treatment
-Predictive value in quantification of absolute cell counts, examination of cell membrane markers expressed, and omic characterisation
-Disparity in methods used for isolation and enrichment
-Identification and isolation methods require high sensitivity
-False negatives
-Limited and fragile population
-Low yield of genetic material
EVs 3 -Many different types available from different sources
-Stable, can efficiently preserve contents
-Can provide protein and lipidic markers, and genetic material
-Contained genetic material is very limited
-High heterogeneity makes it difficult to distinguish EVs of tumoral origin
Tc counts 4 -Standard, reliable methods of isolation.
-Easy identification and count through flow cytometry
-Dynamic information over the course of treatment
-Lack of standardization of thresholds
-Levels greatly vary from patient to patient
-Contradictions when considering marker PD-1
Th counts 5 -Standard, reliable methods of isolation.
-Easy identification and count through flow cytometry
-Dynamic information over the course of treatment
-Lack of standardization of thresholds
-Levels greatly vary from patient to patient
Tregs counts 6 -Standard, reliable methods of isolation.
-Easy identification and count through flow cytometry
-Lack of standardization of thresholds
-Levels greatly vary from patient to patient
-Requires multiple markers for high sensitivity of detection
TCR determination 7 -Segment of DNA of interest is short, well defined, and has been explored in detail
-Multiple protocols and kits available to amplify region of interest.
-Requires analysis of many individual cells to be significant
-Careful selection of specific population of interest is required
Transcriptomic analysis of T cells -High yield of genetic material from the high amount of T cells available in peripheral blood.
-Dynamic information over the course of treatment
-Activation of different pathways may be tracked throughout treatment.
-Lack of reproducibility—multitude of expression signatures that vary between experiments
-Disparity in methods used to identify significant expression signatures
IFN-γ expression 8 -Specific, well-defined marker
-High availability
-Standardised, targeted methods of quantification
-Expressed by many cell types. Not specific to response. Cells of interest must be selected
sPD-L1 9 -Great focus in immunotherapy
-Specific, easily targetable marker
-Direct, less invasive alternative to PD-L1 expression in primary tumour
-Lack of standardization of thresholds
-Has same accuracy limitations as conventional PD-L1 assay
LDH 10 -Cheap, easy method of enzyme quantification -Lack of standardization of thresholds
Microbiome -Many novel potential markers available to study -Still in very early stages of study
-Microbiota that determine response to immunotherapy widely vary between different types of cancer
-Lack of standardization, no fixed markers across studies

1 Circulating tumour DNA. 2 Circulating tumour cells. 3 Extracellular vesicles. 4 T-cell counts. 5 T helper-cell counts. 6 T regulatory cell counts. 7 T-cell receptor repertoire. 8 Interferon gamma expression. 9 Soluble PD-L1. 10 Lactate dehydrogenase.