Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 15

1062P - Predictive impact of inflammation scores in non-small cell lung cancer patients treated with immunotherapy rechallenge

Date

10 Sep 2022

Session

Poster session 15

Topics

Translational Research

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Caroline Plazy

Citation

Annals of Oncology (2022) 33 (suppl_7): S448-S554. 10.1016/annonc/annonc1064

Authors

C. Plazy1, A.C. Toffart2, D. Moro-Sibilot3, E. Gobbini4

Author affiliations

  • 1 Pharmacy Departement, CHU Grenoble Alpes, 38700 - La Tronche/FR
  • 2 Pulmonology Unit, CHU Grenoble-Alpes, 38700 - La Tronche/FR
  • 3 Thoracic Oncology Department, CHU Grenoble-Alpes, 38700 - La Tronche/FR
  • 4 Thoracic Oncology Departement, CHU Grenoble-Alpes, 38700 - Corenc/FR

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1062P

Background

Most of Non-Small-Cell lung cancer (NSCLC) patients actually receive an immune checkpoint inhibitor (ICP) as first line treatment. Therapeutic alternatives at progression are limited and rechallenge with ICI may present a major therapeutic opportunity. Prior identification of patients who could benefit from this strategy remains an open question. It has previously been shown that inflammation scores can identify patients who respond to ICP. Their predictive role in rechallenged patients have never been explored.

Methods

We explored the predictive role of NLR, dNLR, PRL and MLR scores in a cohort of 187 NSCLC patients that received at least one line of ICP. Patients were divided into rechallenged (Re = 81) or not rechallenged (NRe = 106). Biological data at C1D1 (+/- 15 days ) of rechallenge or first chemotherapy regimen post-ICP were collected. Inflammation scores cut-off were estimated by ROC curves. Cox proportional hazard models were used in the subgroup analysis.

Results

Patient in the Re group showed a higher overall survival (OS) since the first ICP compared to the NRe group (39.7 versus 13.3 months, p < 0.0001). We identified a prognostic cut-off able to stratify patient in responders and not-responders (time to treatment failure > or ≤ 3 months) to rechallenge (NLR: 4.2 [AUC 0.75, p = 0.0003]; dNLR: 2.14 [AUC 0.72, p =0.0013]; PLR: 188 [AUC 0.82, p < 0.0001]; MLR: 0.61 [AUC 0.73, p = 0.001]). We showed that patients scored as “low” had a better OS from rechallenge than patients scored as “high” regardless the score considered. The prognostic impact of the inflammation scores was confirmed at the multivariate analysis including smoking status, first ICP duration, best response obtained, reason for stopping, intercurrent treatments between the first ICP and the rechallenge and the ECOG status at the time of the rechallenge. While NLR and dNLR confirmed their prognostic value in the NRe group, MLR and PLR scores were not able to discriminate responder from not responder patients treated with chemotherapy.

Conclusions

According to our results NLR and dNLR had a prognostic rather than predictive value in NSCLC treated with rechallenge. In contrast, PRL and MLR demonstrated a predictive value of response to rechallenge.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

CHU Grenoble Alpes.

Funding

Has not received any funding.

Disclosure

E. Gobbini: Non-Financial Interests, Personal, Other: AstraZeneca; Financial Interests, Personal, Speaker’s Bureau: Roche, Pfizer, Merck Sharpe and Dohme, Bristol Myers Squibb; Financial Interests, Institutional, Funding: AstraZeneca; Financial Interests, Personal, Research Grant: Bristol Myers Squibb. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.