Table 2.
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.