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. Author manuscript; available in PMC: 2022 Feb 8.
Published in final edited form as: Cancer Cell. 2020 Oct 29;39(2):154–173. doi: 10.1016/j.ccell.2020.10.001

Table 2:

Examples of blood TMB and response to immunotherapy (checkpoint inhibitors)

Cancer type
(N)
TMB and response relationship Assay type Treatment
Strategy
Comments References
Diverse cancers (69 pts) VUS > 3 vs. VUS ≤ 3
SD ≥6 months/PR/CR 45% versus 15%, respectively; P = 0.014
PFS: 3.84 vs 2.07 months (HR, 0.52; 95% CI, 0.31–0.87; P=0.019)
OS: NR vs 10.72 (HR, 0.39; 95% CI, 0.18– 0.83; P=0.042)
NGS 54-70 genes
(Guardant)
ICI Design: retrospective analysis, single institutional data
Drugs: multiple checkpoint inhibitors
Of the 69 patients, 20 (29%) presented >3 VUS and 49 (71%) ≤ 3 VUS
(Khagi et al., 2017)
NSCLC (583 pts, validation cohort) Atezolizumab vs docetaxel comparison
bTMB ≥16 : PFS: HR 0.65 (0.47-0.92); OS: 0.64 (0.44-0.92)
bTMB <16: PFS: HR 0.98 (0.80-1.20); OS: 0.65 (0.52-0.81)
NGS 1.1 Mb
(Foundation Medicine panel)
ICI Design: exploratory analysis of prospective randomized phase II (POPLAR NCT01903993) and phase III trial (OAK NCT02008227_
Drug: atezolizumab
Correlation with tTMB by Foundation Medicine assay was demonstrated (Spearman correlation 0.93).
(Gandara et al., 2018)
NSCLC (119 pts) bTMB ≥16 vs. <16
ORR: 28.6% vs 4.4% (P=0.0002)
PFS: 5.0 vs 3.5 months (HR 0.80 90% CI 0.54-1.18)
OS: 23.9 vs. 13.4 months (HR 0.66 90% CI 0.40-1.10)
NGS 1.1 Mb
(Foundation Medicine panel)
ICI Design: prospective analysis of B-F1RST single arm prospective trial (NCT02848651)_
Drug: atezolizumab
bTMB was predictive of higher RR; no statistical significant benefits were detected for PFS or OS
(Kim et al., 2018; Socinski et al., 2019)
NSCLC (809 pts) Durvalumab+Tremelimuab vs. CT
bTMB ≥20mut/Mb: PFS 4.2 vs 4.4 months (HR 0.53 95% CI 0.34-0.81); OS 21.9 vs 10 months (HR 0.49 [95% CI 0.32-0.74)
bTMB <20mut/Mb: PFS 2.0 vs 5.0 months (HR 1.55 95% CI 1.23-1.94); OS 8.5 vs 11.6 months (HR 1.16 95% CI 0.93-1.45)
Guardant OMNI
(Guardant Health)
ICI+ICI Design: exploratory analysis of prospective randomized phase III trial (MYSTIC NCT02453282)
Drugs: durvalumab + tremelimumab
bTMB was correlated with tTMB (Spearman’s correlation = 0.6)
Cut-points for dichotomization of TMB may be made to optimize positive or negative predictive value.
(Rizvi et al., 2020)
NSCLC (98 pts) bTMB ≥6 vs. <6
PFS: NR vs 2.9 months, (HR 0.39; 95% CI, 0.18-0.84; P = 0.01)
RR: 39.3% vs. 9.1% (P=0.02)
NGS 150 genes
(NCC-GP150)
ICI Design: retrospective analysis of multi-institutional series_
Drugs: multiple PD-1/PD-L1 inhibitors
The authors demonstrated a significant correlation between bTMB vs tissue TMB in a virtual comparison to TCGA (r2=0.91) and with matched tTMB calculated by WES (Spearman correlation = 0.62)
(Wang et al., 2019)
NSCLC (66 pts) bTMB ≥16 vs. <16
ORR: 28.6% vs 4.4% (P=0.0002)
PFS: 14.1 vs 4.7 months (HR 0.30 95% CI 0.16-0.60, p<0.001)
OS: not reached vs. 8.8 months (HR 0.48 90% CI 0.22-1.03; p=0.061)
Guardant OMNI
(Guardant Health)
ICI Design: observational prospective cohort of single institutional data (NCT03047616)
Drug: pembrolizumab
bTMB>16 mut/Mb is associated with improved PFS; STK11/KEAP1/PTEN and ERBB2 mutations were common in unresponsive patients
(Aggarwal et al., 2020)

Abbreviations: bTMB = blood tumor mutational burden; CR = complete response; CT=chemotherapy; HR=hazard ratio; ICI=immune checkpoint inhibitor; mb = megabase; N = number; NGS = next generation sequencing; NR=not reached; NSCLC=non-small cell lung cancer; ORR = objective response rate; PFS = progression-free survival; PR = partial response; pts = patients; RR = response rate; SD = stable disease, tTMB=tissue tumor mutational burden; VUS = variant of unknown significance; WES = whole exome sequencing