Virtual Library
Start Your Search
Kathryn C Arbour
Author of
-
+
MA19 - Genomic Markers of IO Response (ID 922)
- Event: WCLC 2018
- Type: Mini Oral Abstract Session
- Track: Immunooncology
- Presentations: 1
- Moderators:
- Coordinates: 9/25/2018, 15:15 - 16:45, Room 201 BD
-
+
MA19.09 - Concurrent Mutations in STK11 and KEAP1 is Associated with Resistance to PD-(L)1 Blockade in Patients with NSCLC Despite High TMB (ID 11983)
16:10 - 16:15 | Presenting Author(s): Kathryn C Arbour
- Abstract
- Presentation
Background
Targeted next generation sequencing (NGS) testing for lung cancer patients identifies recurrent patterns of co-mutations. STK11 is known to be associated with poor outcomes with immunotherapy. We have identified that STK11 is commonly co-mutated with KEAP1, but the impact of this pattern of co-mutation on response to immunotherapy is not known.
a9ded1e5ce5d75814730bb4caaf49419 Method
We identified 308 patients with advanced lung cancer treated at Memorial Sloan Kettering Cancer Center who underwent NGS testing with MSK-IMPACT and received at least one dose of PD-(L)1 inhibitor. Progression free survival (PFS) and overall survival (OS) from treatment initiation of PD-(L)1 blockade were calculated using Kaplan-Meier methodology and compared using logrank method and t-test for continuous variables.
4c3880bb027f159e801041b1021e88e8 Result
In a cohort of 308 patients with NSCLC treated with PD-(L)1 blockade, STK11 or KEAP1 mutations occurred frequently (23% and 22% respectively) and concurrent STK11 and KEAP1 mutations (STK11mut/KEAP1mut) were common (56% of all STK11 mutant patients and 13% of all lung cancers, Fisher’s test of association p<0.0001). Other common co-mutations with STK11 included KRAS (50%) and TP53 (48%). STK11mut/KEAP1mut patients had higher TMB than STK11wt/KEAP1wt patients (median 9.4 vs 6.1, Mann-Whitney p= 0.0002).
STK11mut/KEAP1mut (n=39) patients had diminished PFS and OS compared to patients with STK11wt/KEAP1wt (n=210) (PFS HR 1.5, p=0.02; OS HR 2.3, p=0.001). As context, outcomes in STK11mut/KEAP1mut patients were similarly poor to EGFR mutant patients (n=28) treated with PD-(L)1 blockade (PFS p=0.7) despite substantially different tumor mutation burden (9.4 vs 4.9 mut/Mb, p<0.0001). Among STK11mut/KEAP1mut patients, poor outcomes were unchanged irrespective of KRAS status (PFS p=0.8, OS p=0.5). Patients with mutations in STK11 alone (n=31) or KEAP1 alone (n=28) had outcomes that more closely mirrored STK11wt/KEAP1wt patients (PFS p=0.9 and 0.1 respectively, OS p=0.1 and 0.2 respectively).
8eea62084ca7e541d918e823422bd82e Conclusion
KEAP1 plus STK11 co-mutation is a common event in NSCLC that is distinctly associated with poor outcomes with PD-(L)1 blockade despite otherwise favor molecular features.
6f8b794f3246b0c1e1780bb4d4d5dc53Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
P1.01 - Advanced NSCLC (Not CME Accredited Session) (ID 933)
- Event: WCLC 2018
- Type: Poster Viewing in the Exhibit Hall
- Track:
- Presentations: 1
- Moderators:
- Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
-
+
P1.01-68 - Correlation of the Lung Immune Prognostic Index (LIPI) and PDL1 Status with Outcomes for Immune Checkpoint Inhibitors in Advanced NSCLC Patients (ID 14256)
16:45 - 18:00 | Author(s): Kathryn C Arbour
- Abstract
Background
Baseline LIPI, based on derived NLR (neutrophils/[leucocytes-neutrophils]) and lactate dehydrogenase (LDH) was associated with outcomes for immune checkpoint inhibitors in advanced NSCLC patients. We assessed the correlation between LIPI and PDL1 for ICI outcomes in NSCLC.
a9ded1e5ce5d75814730bb4caaf49419 Method
Baseline dNLR and LDH and clinical data were retrospectively collected in advanced NSCLC patients, treated with PD1/PDL1 +/- CTLA4 inhibitors from Nov. 2012 to Mar. 2018, in a multicentric cohort (N=794) from 11 centers. LIPI stratified 3 groups: good (dNLR<3+LDH<upper limit of normal (ULN), intermediate (dNLR>3 or LDH>ULN), poor risk (dNLR>3+LDH>ULN). PDL1 positivity was defined as ≥ 1% tumor cells expression by immunohistochemistry.
4c3880bb027f159e801041b1021e88e8 Result
476 patients (60%) were male, 693 (87%) smokers, 695 (88%) had PS ≤1, with median age 65; 576 (73%) had nonsquamous histology. PDL1 was ≥ 1% in 195 (70%) patients, negative in 82 (30%), and unknown in 517. The median of prior lines was 1 (0-11). The median PFS and OS were 4 months (m) [95% CI 4-5] and 12 m [10-15]. dNLR was>3 in 276 (35%) and LDH>ULN in 290 (37%) patients. LIPI stratified 349 patients as good (44%), 323 (41%) as intermediate and 121 (15%) as poor LIPI risk groups. LIPI was an independent factor for OS (table) and PFS (HR 2.58; CI 1.3-5.2, P=0.02). ≥ 1% PDL1 and ≥ 50% PDL1 were not correlated with OS and PFS. Median OS for good, intermediate, and poor LIPI risk groups were 21 m [17-23], 11 m [9-14] and 4 m [2-6], respectively (P=<0.0001). Median PFS for good, intermediate, and poor risk was 5 m [5-7], 4 m [3-5], and 2 m [1-3], respectively (P=0.0005). No differences were observed in LIPI groups according to the PDL1 expression.
8eea62084ca7e541d918e823422bd82e ConclusionMultivariate analysis for OS
HR
95% CI
P value
Immunotherapy line
>2
2.117
0.641
6.992
0.219
N# Metastasis sites
≥2
1.242
0.727
2.121
0.428
Performance status
≥2
2.141
1.059
4.332
0.034
Albumin
>35 g/dL
0.867
0.507
1.48
0.6
LIPI
Intermediate
Poor
1.697
4.178
0.917
1.956
3.142
8.925
0.001
PDL1 IHC
≥1%
0.713
0.406
1.252
0.239
Baseline LIPI is associated with ICI outcomes in advanced NSCLC, regardless the PDL1 expression. LIPI should be evaluated in prospective clinical trials.
6f8b794f3246b0c1e1780bb4d4d5dc53
