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. 2024 Feb 15;14(2):e075981. doi: 10.1136/bmjopen-2023-075981

Table 3.

Estimated number of participants (N), death proportion, median survival, and HR per SD decrease detectable with 80% power for each cancer site

Cancer N Death proportion Median survival (months) HRs detectable at estimated 80% power
PD-1 PD-L1
Breast 93 869 0.083 64.871 HR ≥ 1.21
HR ≤ 0.83
HR ≥ 1.17
HR ≤ 0.86
Colorectal 19 154 0.238 38.471 HR ≥ 1.28
HR ≤ 0.78
HR ≥ 1.22
HR ≤ 0.82
Head and neck 10 196 0.331* 54.372 HR ≥ 1.34
HR ≤ 0.75
HR ≥ 1.26
HR ≤ 0.79
Lung 8670 0.599* 3.671 HR ≥ 1.27
HR ≤ 0.79
HR ≥ 1.21
HR ≤ 0.83
Melanoma 11 201 0.103 53.473 HR ≥ 1.63
HR ≤ 0.62
HR ≥ 1.50
HR ≤ 0.67
Ovarian 3395 0.552* 30.174 HR ≥ 1.48
HR ≤ 0.68
HR ≥ 1.37
HR ≤ 0.73
Prostate 24 023 0.146 62.471 HR ≥ 1.33
HR ≤ 0.75
HR ≥ 1.26
HR ≤ 0.79

HRs per standard deviation (SD) decrease estimated to be detected at 80% power calculated with the survSNP R package75 (https://cran.r-project.org/web/packages/survSNP/index.html) using the combined estimated sample size and death proportion from each cancer survival genome-wide association study (GWAS) and the respective Genomics England cancer survival GWAS, median survival and assuming a false positive rate of 0.05. Death proportion was defined as the proportion of cancer cases who died due to all-cause or cancer-specific mortality. Transformation of protein level measurements into normalised protein expression (NPX) units on a log₂ scale have been described previously.43

*Death proportion due to all-cause mortality.