Impact of cancer susceptibility gene (CSG) mutations in advanced NSCLC (aNSCLC).

Authors

null

Danielle Klingberg

St. George Hospital, Kogarah, NSW, Australia

Danielle Klingberg , Janene Dalrymple , Milita Zaheed , Craig R. Lewis , Tom John , Chee Khoon Lee

Organizations

St. George Hospital, Kogarah, NSW, Australia, Prince of Wales Hospital, Sydney, NSW, Australia, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia

Research Funding

No funding received

Background: Next generation sequencing (NGS) is used widely to identify somatic oncogenic driver mutations in aNSCLC to guide treatment. Comprehensive profiling has led to identification of multiple gene mutations of unclear significance, including germline genes associated with cancer risk, termed CSG. Using data from two randomized trials comparing atezolizumab to docetaxel, we investigated the prognostic and predictive values of CSG in aNSCLC. Methods: We used publicly available data from the OAK (NCT02008227) and POPLAR (NCT01903993) trials. At baseline, plasma was analyzed for cfDNA using FoundationOne CDx NGS assay. We defined CSGs as pathogenic variants of APC, BAP1, BRCA1/2, BRIP1, CDH1, CDKN2A, CHEK2, FH, FLCN, MEN1, MET, MSH2/6, MLH1, PMS2, PALB2, PTCH1, PTEN, RAD51, RB1, SDHB, SMARCA4, STK11, TSC1/2 and VHL. Cox models with treatment covariate, CSG status (mutant [mt] vs wild-type [wt]) and their interaction was used to assess the predictive value by treatment of CSG mt for overall survival (OS) and progression free survival (PFS) using univariate and multivariate models. Similar analysis was performed for objective response rate (ORR). Results: Of 1137 patients, 853 with sufficient tumor content formed the analysis population. In total, 295 (35%) had a known/likely pathogenic CSG mt. The variant allele frequencies (vAF) of CSG mt ≥30%, 10-30%, and <10% were 8% (N=23), 25% (N=73), and 67% (N=199) respectively. Patients with CSG mt were more likely to be smokers (89% vs 81%, P=0.005), had squamous tumors (37% vs 26%, P=0.001) with higher blood-based tumor mutation burden (mean 13.8 vs 10.2 per megabase, P<0.001). CSG mt was not predictive of greater OS benefit with atezolizumab over docetaxel (Table). CSG mt was associated with 35% increase risk of death in univariable analysis (HR 1.35, 95% CI 1.15-1.59). CSG mt was associated with inferior OS in multivariable analysis adjusting for performance status, smoking status, tumor histology, age, sex and number of organ sites of metastasis (HR 1.26, 95% CI 1.07-1.48). Conclusions: Plasma CSG mt is an independent poor prognostic factor in two large aNSCLC clinical trial datasets. Majority of vAF of CSG were low, suggesting that very few were potentially germline in origin, but dedicated sequencing for confirmation will be required. If confirmed, CSG status could be used as a stratification factor in future aNSCLC trials.


CSG mt(N=295)
CSG wt(N=558)
Treatment-biomarker Interaction P

Atezolizumab
(N=144)
Docetaxel
(N=151)
Atezolizumab
(N=285)
Docetaxel
(N=273)

Complete & partial response* (%)
19
15
14
16

Odds ratio=0.76
95% CI 0.40 – 1.46
Odds ratio=1.13
95% CI 0.69 – 1.85
0.34
PFS(median, months)
4.1
3.9
4.0
4.7

HR 0.71
95% CI 0.54-0.95
HR 1.02
95% CI 0.84-1.24
0.02
OS(median, months)
10.6
7.3
13.5
9.7

HR 0.60
95% CI 0.46-0.78
HR 0.70
95% CI 0.58-0.86
0.36

*89 patients were excluded (atezolizumab, N=34; docetaxel, N=55) from analysis for ORR because of non-measurable disease.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Lung Cancer—Non-Small Cell Metastatic

Track

Lung Cancer

Sub Track

Metastatic Non–Small Cell Lung Cancer

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 9131)

DOI

10.1200/JCO.2022.40.16_suppl.9131

Abstract #

9131

Poster Bd #

117

Abstract Disclosures