Association of magnitude and consistency of PD-L1 expression and other variables associated with benefit from immune checkpoint inhibition (ICI): Systematic review and meta-analysis of 14 phase 3 trials in advanced gastroesophageal cancer (GEC).

Authors

null

Harry H. Yoon

Mayo Clinic, Rochester, MN

Harry H. Yoon , Zhaohui Jin , Oudom Kour , Kohei Shitara , Michael K. Gibson , Larry Prokop , Yoon-Koo Kang , Qian Shi , Jaffer A. Ajani

Organizations

Mayo Clinic, Rochester, MN, Division of Medical Oncology, Mayo Clinic, Rochester, MN, National Cancer Center Hospital East, Kashiwa, Japan, Vanderbilt Universithy Medical Center/Vanderbilt-Ingram Cancer Center, Nashville, TN, Asan Medical Center, Seoul, South Korea, The University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

No funding received

Background: ICI with anti-PD-1 therapy was approved by the US FDA as 1st/2nd-line treatment of advanced GEC regardless of PD-L1 status. It is argued that patients (pts) with PD-L1-low GEC do not benefit from ICI. To avoid spurious exclusion of pts, we systematically reviewed phase 3 trials to assess the magnitude and consistency of PD-L1 to predict benefit from ICI. We also examined other potential predictive factors to understand their magnitude and consistency in comparison with PD-L1 status. Methods: MEDLINE, Embase, Scopus, Web of Science, and Cochrane Central Register were searched for all randomized clinical trials (RCT; 2000-2021) in advanced GEC comparing ICI, alone or with chemotherapy, vs standard of care (SOC). The primary endpoint was overall survival (OS). Study screening, data abstraction, and bias assessment were done independently by two reviewers per PRISMA guidelines. The mean HR for ICI vs SOC was calculated by random effects model. The predictive value of a factor was quantified using relative magnitude and consistency (table). Results: 14 RCTs at low risk of bias were included (N = 9,210 pts; KN62, CM649, CM648, ESCORT1st, KN590, ATT4, JAV100, KN181, KN61, ATT3, ESCORT, RATIONALE302, JAV300, ATT2). 6 trials were 1st-line, 8 were after 1st-line. Treatment comparisons were ICI + chemo vs chemo (6 trials), ICI vs chemo (9 trials), and ICI vs placebo (1 trial). ICI was always anti-PD-1/-L1 (1 trial also had anti-CTLA-4). Table shows primary results. To enable head to head comparisons, subgroup analyses of trials containing both levels of a factor or having similar design were done and generally yielded consistent results. Conclusions: PD-L1 CPS is the strongest predictive biomarker, after MSI, for OS benefit from ICI-containing therapy vs SOC. Additional research on gender is warranted.

PREDICTIVE VALUE
# trials & pts
Mean HR (95% CI) for ICI-containing vs SOC
Consistency

(# comparisons with HR <.9)a
Relative Magnitudeb
MSI
Yes
4/ 153
.35 (.22 –.55)
100% (5/5)
136% more
No
3/ 1957
.79 (.74 –.84)
67% (2/3)
ref
PD-L1 CPS
High c
7/ 2057
.69 (.62 –.76)
86% (6/7)
41% more
Low
4/ 1545
.97 (.87 – 1.09)
25% (1/4)
ref
PD-L1 TPS
> 1
9/ 1783
.69 (.58 –.81)
70% (7/10)
31% more
< 1
8/ 3709
.90 (.84 –.97)
67% (6/9)
ref
Sex
M
13/ 7116
.77 (.73 –.83)
93% (14/15)
24% more
F
13/ 2094
.96 (.84 – 1.08)
53% (8/15)
ref
Histol
SCC
7/ 4218
.74 (.68 –.79)
100% (8/8)
16% more
AC
9/ 5701
.85 (.78 –.93)
50% (5/10)
ref

a Comparison means ICI-containing vs SOC. Some trials had >2 arms, thus >1 comparison.b 1 – (ratio of mean HRs of one factor level vs another). Factors with <15% predictive value not shown (ie, tumor site, geography, liver met, # mets, prior surgery, age, ECOG PS, Lauren, chemo backbone).c Highest consistent cutpoint reported across studies (usually CPS >10).Abbrev: CPS, combined positive score; TPS, tumor proportion score

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Abstract Details

Meeting

2022 ASCO Gastrointestinal Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Cancers of the Esophagus and Stomach and Other GI Cancers

Track

Esophageal and Gastric Cancer,Other GI Cancer

Sub Track

Tumor Biology, Biomarkers, and Pathology

DOI

10.1200/JCO.2022.40.4_suppl.344

Abstract #

344

Poster Bd #

H7

Abstract Disclosures

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