Read more

June 04, 2022
4 min read
Save

Shared decision-making required when choosing first-line regimen for PD-L1-high NSCLC

You've successfully added to your alerts. You will receive an email when new content is published.

Click Here to Manage Email Alerts

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com.

CHICAGO — Chemoimmunotherapy and immunotherapy alone conferred comparable benefit as first-line therapy for most patients with advanced non-small cell lung cancer and high PD-L1 expression, results presented at ASCO Annual Meeting showed.

Older patients appeared to derive better OS and PFS outcomes with immunotherapy alone, findings from the exploratory pooled analysis showed.

Key study takeaways
Data derived from Akinboro O, et al. Abstract 9000. Presented at: ASCO Annual Meeting; June 3-7, 2022; Chicago.

“These results support shared decision-making that balances potential benefits and risks of adding [chemotherapy to immuno-oncology] regimens based on patient factors that may impact tolerability,” Oladimeji Akinboro, MD, medical oncologist and clinical reviewer with the FDA, and colleagues concluded.

Background and methods

Several first-line treatments are approved in the United States for patients with advanced NSCLC and high PD-L1 expression. These options include immunotherapies with or without chemotherapy.

However, it is unclear whether the addition of chemotherapy to immunotherapy considerably improves efficacy for this population.

Oladimeji Akinola Akinboro, MBBS
Oladimeji Akinboro

Akinboro and colleagues pooled data from 12 randomized controlled trials that assessed anti-PD-1/anti-PD-L1 agents with or without chemotherapy as first-line treatment for patients with advanced NSCLC and high PD-L1 expression, defined as scores of 50% or higher.

Investigators evaluated OS, PFS and overall response rates among patients who received chemotherapy-immunotherapy and immunotherapy alone.

The analysis included 3,189 patients (69% male; 80% white).

Nearly half of study participants were aged older than 65 years (65 to 74 years, 38%; aged 75 years or older, 11%). Two-thirds (66%) of patients had ECOG performance status of 1 or higher, and 89% were current or former smokers.

Overall results

The pooled OS analysis included 1,753 patients (chemoimmunotherapy, 26%; immunotherapy alone, 74%).

Results from the overall cohort showed median OS of 25 months among patients treated with chemotherapy-immunotherapy and 20.9 months among those treated with immunotherapy alone (HR = 0.82; 95% CI, 0.62-1.08).

Researchers reported longer median PFS (9.6 months vs. 7.1 months; HR = 0.69; 95% CI, 0.55-0.87) and a higher ORR (61% vs. 43%; OR = 1.2; 95% CI, 1.1-1.3) in the chemotherapy-immunotherapy group.

Effect of age

Patients aged younger than 65 years derived a statistically significant OS benefit with the addition of chemotherapy to immunotherapy (median, 25 months vs. 23.3 months; HR = 0.67; 95% CI, 0.46-0.99).

Differences in median OS between chemotherapy-immunotherapy and immunotherapy alone did not reach statistical significance among patients aged 65 to 74 years (22.2 months vs. 18.6 months; HR = 0.83; 95% CI, 0.54-1.28) or those aged 75 years or older (not estimable vs. 18.9 months; HR = 1.68; 95% CI, 0.69-4.06).

The chemotherapy-immunotherapy combination conferred a statistically significant improvement in median PFS among patients aged younger than 65 years (9.4 months vs. 7.7 months; HR = 0.54; 95% CI, 0.39-0.75), but not among those aged 65 to 74 years (9.7 months vs. 6.8 months; HR = 0.8; 95% CI, 0.56-1.13) or those aged 75 years or older (11.8 months vs. 7.2 months; HR = 1.22; 95% CI, 0.58-2.57).

The difference in ORR between the chemotherapy-immunotherapy and immunotherapy alone groups appeared greater among those aged younger than 65 years (62% vs. 43%; OR = 2.2; 95% CI, 1.3-3.7) and those aged 65 to 74 years (62% vs. 43%; OR = 1.9; 95% CI, 1.1-3.4) than those aged 75 years or older (52% vs. 45%; OR = 1.2; 95% CI, 0.4-3.8).

Additional subgroup analyses

Analyses based on ECOG performance status showed similar median OS between patients treated with chemoimmunotherapy or immunotherapy alone (ECOG 0, not estimable vs. 31.8 months; HR = 0.7; 95% CI, 0.4-1.21); ECOG 1, 17.7 months vs. 18 months; 95% CI, 0.87; 95% CI, 0.64-1.19).

The difference in median PFS between the chemoimmunotherapy and immunotherapy groups reached statistical significance among patients regardless of ECOG performance status (ECOG 0, 13.7 months vs. 8.5 months; HR = 0.61; 95% CI, 0.4-0.92; ECOG 1, 8.2 months vs. 6.3 months; HR = 0.75; 95% CI, 0.57-0.98).

Chemoimmunotherapy also appeared associated with higher ORRs regardless of ECOG status (0, 66% vs. 47%; OR = 2.6; 95% CI, 1.5-4.7; 1, 58% vs. 41%; OR = 1.7; 95% CI, 1.1-2.6).

Analyses based on smoking status showed at least comparable efficacy with chemoimmunotherapy vs. immunotherapy alone with regard to median OS (never-smokers, not estimable vs. 14.4 months; HR = 0.39; 95% CI, 0.15-0.98; ever-smokers, 23 months vs. 22.1 months; 95% CI, 0.92; 95% CI, 0.69-1.22), PFS (never-smokers, 10.2 months vs. 3.7 months; HR = 0.46; 95% CI, 0.23-0.92; ever-smokers, 9.3 months vs. 8.2 months; HR = 0.75; 95% CI, 0.59-0.95) and ORR (never-smokers, 69% vs. 28%; OR = 4.6; 95% CI, 1.5-14.5; ever-smokers, 60% vs. 45%; OR = 1.7; 95% CI, 1.2-2.5).

Limitations

Akinboro acknowledged several study limitations.

“This was a retrospective and exploratory pooled analysis. It was a cross-trial comparison, as none of these trials directly compared [chemotherapy-immunotherapy and immunotherapy alone],” he said. “As such, the results are only hypothesis generating.”

Researchers did not examine factors that may potentially explain the lack of concordance between OS results and the PFS and ORR outcomes.

“Subsequent receipt of platinum-based chemotherapy by patients with in the [immunotherapy only] arm potentially could have attenuated the OS difference between arms,” Akinboro said. “We also acknowledge the clinical trial populations in our analysis may be different from real-world patients with regard to attributes such as age, performance status and race.”