Prognostic value of systemic inflammatory markers in first- and subsequent-line immunotherapy and durability of response in NSCLC.

Authors

null

Fahmin Basher

University of Miami/Jackson Memorial Hospital, Miami, FL

Fahmin Basher , Diana Saravia , Gilberto Lopes

Organizations

University of Miami/Jackson Memorial Hospital, Miami, FL, Cleveland Clinic Florida, Weston, FL, University of Miami Miller School of Medicine, Miami, FL

Research Funding

No funding received
None

Background: Treatment of advanced non-small cell lung cancer with immune checkpoint inhibitors (ICI) has been shown to yield durable responses. High neutrophil-to-lymphocyte ratios (NLR), low lymphocyte-to-monocyte ratios (LMR) and high platelet-to-lymphocyte ratios (PLRs) have been used as surrogates for increased levels of inflammation in the tumor microenvironment that can predict cancer progression and response to therapy. However, the comparative prognostic role of these markers account for when immunotherapy is utilized has not been explicitly determined. Methods: We performed a retrospective review of 233 patients with advanced stage NSCLC at the University of Miami / Sylvester Comprehensive Cancer Center who received ICI either as first-line (1L) or second-line (2L) therapy and for whom laboratory data, in particular absolute neutrophil, lymphocyte, monocyte, and platelet counts, were available pre-treatment and 4 weeks after initiation of immunotherapy. Results: Using receiver operating characteristic (ROC) curves, we identified cutoff values with optimal prognostic value for NLR (4), LMR (2), and PLR (200). Median age, histology, and smoking history were equivalent across each group. Improved OS was observed in our cohort for patients in which pre-treatment NLR < 4 (54.4m vs. 35.9m, p = 0.0069), LMR > 2 (54.4m vs. 32.3m, p = 0.0016), and PLR < 200 (54.4m vs. 27.5m, p = 0.0007), while PFS was unaffected when looking strictly at these cutoffs. We then observed that PFS could be better predicted after stratifying NLR, LMR, or PLR when taking into account whether ICI was administered as 1L or 2L. We also determined that changes in (Δ) NLR or LMR (but not PLR) by at least 20% between baseline and 4 weeks after initiation of ICI could predict duration of response to ICI. Conclusions: In conclusion, the NLR, LMR, and PLR are powerful surrogates for the tumor microenvironment and can predict responses to ICI in advanced NSCLC when used in the context of previous lines of therapy and subsequent pro-inflammatory changes. Our study shows that ICI used in the first-line setting results in more durable responses, and can overcome an unfavorable tumor microenvironment. In addition, we demonstrate that in NSCLC, durability of responses can be predicted by changes in these systemic inflammatory response markers early after the initiation of ICI.

Pre-treatment
Post-treatment
Category
Median PFS (m)
p-value
Category
Median PFS (m)
p-value
NLR < 4
14.3
0.44
ΔNLR -20%
22.5
0.022
NLR > 4
12.4
ΔNLR +20%
14.0
NLR < 4 - 1L
26.1
0.009



NLR < 4 - 2L
11.6



NLR > 4 – 1L
18.5
0.090



NLR > 4 – 2L
10.0



LMR > 2
17.0
0.69
ΔLMR +20%
22.5
0.045
LMR < 2
13.2
ΔLMR –20%
12.8
LMR > 2 – 1L
17.7
0.039



LMR > 2 – 2L
10.4



LMR < 2 – 1L
12.4
0.017



LMR < 2 – 2L
10.4



PLR < 200
14.0
0.45
ΔPLR -20%
21.8
0.26
PLR > 200
12.5
ΔPLR +20%
13.0

PLR < 200 – 1L
35.7
0.008



PLR < 200 – 2L
11.5



PLR > 200 – 1L
14.3
0.078



PLR > 200 – 2L
10.4



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Abstract Details

Meeting

2021 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Lung Cancer—Non-Small Cell Metastatic

Track

Lung Cancer

Sub Track

Metastatic Non–Small Cell Lung Cancer

Citation

J Clin Oncol 39, 2021 (suppl 15; abstr e21210)

DOI

10.1200/JCO.2021.39.15_suppl.e21210

Abstract #

e21210

Abstract Disclosures

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