Table 9.

Correlations between research priorities and access to single biomarkers.

Pillars	Availability	Timing	Reimbursement	Order Rate
Factors Influencing Cancer Development and Risk	−0.21 *,#	−0.52	0.026	−0.06
Cancer Prevention and Early Detection	0.21	−0.10	0.11	0.18
Cancer Biology and Therapeutic Approaches	0.34	0.04	0.27	0.32
Aging and its Intersections with Cancer	0.03	−0.13	−0.22	−0.01
Cancer Complications and Survivorship	−0.04	−0.26	−0.36	−0.12
Data Generation and Utilization in Cancer Research	0.18	−0.15	0.56	0.27

* ±0.19 to 0: very low correlation (on latter side can be negligible), ±0.39 to 0.2: low correlation, ±0.59 to 0.4: medium or moderate correlation, ±0.79 to 0.6: high correlation, ±1 to 0.8: very high correlation. ^# In this table, a high-to-low correlation indicates the extent to which pillar research priorities correlate with single biomarker test parameters among countries. Meanwhile, positive or negative correlations signify the direction of the correlation.