» Articles » PMID: 35598202

Association of CD274 (PD-L1) Copy Number Changes with Immune Checkpoint Inhibitor Clinical Benefit in Non-Squamous Non-Small Cell Lung Cancer

Abstract

Background: We sought to characterize response to immune checkpoint inhibitor (ICI) in non-squamous non-small cell lung cancer (NSCLC) across various CD274 copy number gain and loss thresholds and identify an optimal cutoff.

Materials And Methods: A de-identified nationwide (US) real-world clinico-genomic database was leveraged to study 621 non-squamous NSCLC patients treated with ICI. All patients received second-line ICI monotherapy and underwent comprehensive genomic profiling as part of routine clinical care. Overall survival (OS) from start of ICI, for CD274 copy number gain and loss cohorts across varying copy number thresholds, were assessed.

Results: Among the 621 patients, patients with a CD274 CN greater than or equal to specimen ploidy +2 (N = 29) had a significantly higher median (m) OS when compared with the rest of the cohort (N = 592; 16.1 [8.9-37.3] vs 8.6 [7.1-10.9] months, hazard ratio (HR) = 0.6 [0.4-1.0], P-value = .05). Patients with a CD274 copy number less than specimen ploidy (N = 299) trended toward a lower mOS when compared to the rest of the cohort (N = 322; 7.5 [5.9-11.3] vs 9.6 [7.9-12.8] months, HR = 0.9 [0.7-1.1], P-value = .3).

Conclusion: This work shows that CD274 copy number gains at varying thresholds predict different response to ICI blockade in non-squamous NSCLC. Considering these data, prospective clinical trials should further validate these findings, specifically in the context of PD-L1 IHC test results.

Citing Articles

Evaluation of immune checkpoint inhibitor efficacy for solid tumors with (PD-L1 gene) amplification identified by comprehensive genomic profiling: retrospective study based on a nationwide database.

Nakayama T, Takahama T, Chiba Y, Shiraishi N, Kawakami H, Yonesaka K J Immunother Cancer. 2024; 12(12.

PMID: 39694703 PMC: 11667388. DOI: 10.1136/jitc-2024-010130.


Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis.

Giriyappagoudar M, Vastrad B, Horakeri R, Vastrad C Biomedicines. 2023; 11(12).

PMID: 38137330 PMC: 10740779. DOI: 10.3390/biomedicines11123109.


Pharmacogenomics: Driving Personalized Medicine.

Sadee W, Wang D, Hartmann K, Toland A Pharmacol Rev. 2023; 75(4):789-814.

PMID: 36927888 PMC: 10289244. DOI: 10.1124/pharmrev.122.000810.


PD-L1 gene amplification and focality: relationship with protein expression.

Jardim D, Murugesan K, Elvin J, Huang R, Kurzrock R J Immunother Cancer. 2023; 11(2).

PMID: 36849197 PMC: 9972417. DOI: 10.1136/jitc-2022-006311.

References
1.
Frampton G, Fichtenholtz A, Otto G, Wang K, Downing S, He J . Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing. Nat Biotechnol. 2013; 31(11):1023-31. PMC: 5710001. DOI: 10.1038/nbt.2696. View

2.
Goodman A, Piccioni D, Kato S, Boichard A, Wang H, Frampton G . Prevalence of PDL1 Amplification and Preliminary Response to Immune Checkpoint Blockade in Solid Tumors. JAMA Oncol. 2018; 4(9):1237-1244. PMC: 6139049. DOI: 10.1001/jamaoncol.2018.1701. View

3.
Jardim D, Goodman A, Gagliato D, Kurzrock R . The Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker. Cancer Cell. 2020; 39(2):154-173. PMC: 7878292. DOI: 10.1016/j.ccell.2020.10.001. View

4.
Topalian S, Hodi F, Brahmer J, Gettinger S, Smith D, Mcdermott D . Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med. 2012; 366(26):2443-54. PMC: 3544539. DOI: 10.1056/NEJMoa1200690. View

5.
Chalmers Z, Connelly C, Fabrizio D, Gay L, Ali S, Ennis R . Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden. Genome Med. 2017; 9(1):34. PMC: 5395719. DOI: 10.1186/s13073-017-0424-2. View