Planning target volume as a predictor of disease progression in inoperable stage III non-small cell lung cancer patients treated with chemoradiotherapy and concurrent and/or sequential immune checkpoint inhibition.
Adult
Age Factors
Aged
Antibodies, Monoclonal
/ administration & dosage
Antineoplastic Agents, Immunological
/ administration & dosage
Carcinoma, Non-Small-Cell Lung
/ drug therapy
Chemoradiotherapy
/ adverse effects
Female
Humans
Immune Checkpoint Inhibitors
/ administration & dosage
Lung Neoplasms
/ drug therapy
Male
Middle Aged
Neoplasm Staging
Nivolumab
/ administration & dosage
Prospective Studies
Sex Factors
Survival Analysis
Checkpoint inhibition
Chemoradiotherapy
Non-small cell lung cancer
Prediction
Tumor volume
Journal
Investigational new drugs
ISSN: 1573-0646
Titre abrégé: Invest New Drugs
Pays: United States
ID NLM: 8309330
Informations de publication
Date de publication:
02 2022
02 2022
Historique:
received:
30
04
2021
accepted:
22
06
2021
pubmed:
6
8
2021
medline:
8
3
2022
entrez:
5
8
2021
Statut:
ppublish
Résumé
The present study evaluates outcome after chemoradiotherapy (CRT) with concurrent and/or sequential Programmed Cell Death 1 (PD-1) or Ligand 1 (PD-L1) immune checkpoint inhibition (CPI) for inoperable stage III NSCLC patients depending on planning target volume (PTV). Prospective data of thirty-three consecutive patients with inoperable stage III NSCLC treated with CRT and sequential durvalumab (67%, 22 patients) or concurrent and sequential nivolumab (33%, 11 patients) were analyzed. Different PTV cut offs and PTV as a continuous variable were evaluated for their association with progression-free (PFS), local-regional progression-free (LRPFS), extracranial distant metastasis-free (eMFS) and brain-metastasis free-survival (BMFS). All patients were treated with conventionally fractionated thoracic radiotherapy (TRT); 93% to a total dose of at least 60 Gy, 97% of patients received two cycles of concurrent platinum-based chemotherapy. Median follow-up for the entire cohort was 19.9 (range: 6.0-42.4) months; median overall survival (OS), LRFS, BMFS and eMFS were not reached. Median PFS was 22.8 (95% CI: 10.7-34.8) months. Patients with PTV ≥ 900ccm had a significantly shorter PFS (6.9 vs 22.8 months, p = 0.020) and eMFS (8.1 months vs. not reached, p = 0.003). Furthermore, patients with PTV ≥ 900ccm and stage IIIC disease (UICC-TNM Classification 8th Edition) achieved a very poor outcome with a median PFS and eMFS of 3.6 vs 22.8 months (p < 0.001) and 3.6 months vs. not reached (p = 0.001), respectively. PTV as a continuous variable also had a significant impact on eMFS (p = 0.048). However, no significant association of different PTV cut-offs or PTV as a continuous variable with LRPFS and BMFS could be shown. The multivariate analysis that was performed for PTV ≥ 900ccm and age (≥ 65 years), gender (male), histology (non-ACC) as well as T- and N-stage (T4, N3) as covariates also revealed PTV ≥ 900ccm as the only factor that had a significant correlation with PFS (HR: 5.383 (95% CI:1.263-22.942, p = 0.023)). In this prospective analysis of inoperable stage III NSCLC patients treated with definitive CRT combined with concurrent and/or sequential CPI, significantly shorter PFS and eMFS were observed in patients with initial PTV ≥ 900ccm.
Sections du résumé
BACKGROUND
The present study evaluates outcome after chemoradiotherapy (CRT) with concurrent and/or sequential Programmed Cell Death 1 (PD-1) or Ligand 1 (PD-L1) immune checkpoint inhibition (CPI) for inoperable stage III NSCLC patients depending on planning target volume (PTV).
METHOD AND PATIENTS
Prospective data of thirty-three consecutive patients with inoperable stage III NSCLC treated with CRT and sequential durvalumab (67%, 22 patients) or concurrent and sequential nivolumab (33%, 11 patients) were analyzed. Different PTV cut offs and PTV as a continuous variable were evaluated for their association with progression-free (PFS), local-regional progression-free (LRPFS), extracranial distant metastasis-free (eMFS) and brain-metastasis free-survival (BMFS).
RESULTS
All patients were treated with conventionally fractionated thoracic radiotherapy (TRT); 93% to a total dose of at least 60 Gy, 97% of patients received two cycles of concurrent platinum-based chemotherapy. Median follow-up for the entire cohort was 19.9 (range: 6.0-42.4) months; median overall survival (OS), LRFS, BMFS and eMFS were not reached. Median PFS was 22.8 (95% CI: 10.7-34.8) months. Patients with PTV ≥ 900ccm had a significantly shorter PFS (6.9 vs 22.8 months, p = 0.020) and eMFS (8.1 months vs. not reached, p = 0.003). Furthermore, patients with PTV ≥ 900ccm and stage IIIC disease (UICC-TNM Classification 8th Edition) achieved a very poor outcome with a median PFS and eMFS of 3.6 vs 22.8 months (p < 0.001) and 3.6 months vs. not reached (p = 0.001), respectively. PTV as a continuous variable also had a significant impact on eMFS (p = 0.048). However, no significant association of different PTV cut-offs or PTV as a continuous variable with LRPFS and BMFS could be shown. The multivariate analysis that was performed for PTV ≥ 900ccm and age (≥ 65 years), gender (male), histology (non-ACC) as well as T- and N-stage (T4, N3) as covariates also revealed PTV ≥ 900ccm as the only factor that had a significant correlation with PFS (HR: 5.383 (95% CI:1.263-22.942, p = 0.023)).
CONCLUSION
In this prospective analysis of inoperable stage III NSCLC patients treated with definitive CRT combined with concurrent and/or sequential CPI, significantly shorter PFS and eMFS were observed in patients with initial PTV ≥ 900ccm.
Identifiants
pubmed: 34351518
doi: 10.1007/s10637-021-01143-0
pii: 10.1007/s10637-021-01143-0
pmc: PMC8763767
doi:
Substances chimiques
Antibodies, Monoclonal
0
Antineoplastic Agents, Immunological
0
Immune Checkpoint Inhibitors
0
durvalumab
28X28X9OKV
Nivolumab
31YO63LBSN
Types de publication
Clinical Trial
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
163-171Informations de copyright
© 2021. The Author(s).
Références
Radiother Oncol. 2020 Aug;149:205-211
pubmed: 32361014
Cancers (Basel). 2020 Oct 19;12(10):
pubmed: 33086481
Lung Cancer. 2020 Aug;146:23-29
pubmed: 32505077
CA Cancer J Clin. 2019 Jan;69(1):7-34
pubmed: 30620402
N Engl J Med. 2018 Dec 13;379(24):2342-2350
pubmed: 30280658
Cancer Med. 2020 Jul;9(13):4622-4631
pubmed: 32372571
Radiat Oncol. 2020 Jun 9;15(1):148
pubmed: 32517716
J Clin Oncol. 2020 Mar 1;38(7):706-714
pubmed: 31841363
Lung Cancer. 2013 Apr;80(1):62-7
pubmed: 23357464
Clin Lung Cancer. 2020 May;21(3):288-293
pubmed: 32143966
Int J Radiat Oncol Biol Phys. 2011 Nov 15;81(4):e269-74
pubmed: 21477940
Anticancer Res. 2019 Sep;39(9):5077-5081
pubmed: 31519618
N Engl J Med. 2017 Nov 16;377(20):1919-1929
pubmed: 28885881
J Thorac Oncol. 2021 Feb;16(2):278-288
pubmed: 33188912
J Thorac Oncol. 2020 Feb;15(2):288-293
pubmed: 31622733
Radiat Oncol. 2020 Jul 9;15(1):167
pubmed: 32646443
Cancer. 2020 Oct 1;126(19):4353-4361
pubmed: 32697352
Transl Lung Cancer Res. 2021 Apr;10(4):1999-2010
pubmed: 34012809
Lancet Oncol. 2019 Dec;20(12):1670-1680
pubmed: 31601496
Transl Lung Cancer Res. 2020 Apr;9(2):288-293
pubmed: 32420068
Lancet Oncol. 2015 Feb;16(2):187-99
pubmed: 25601342
Int J Radiat Oncol Biol Phys. 2008 Feb 1;70(2):385-90
pubmed: 17869017
Radiother Oncol. 2020 Mar;144:101-104
pubmed: 31786421
Radiother Oncol. 2018 Apr;127(1):1-5
pubmed: 29605476
Transl Lung Cancer Res. 2019 Oct;8(5):593-604
pubmed: 31737496
Lung Cancer. 2019 Jul;133:83-87
pubmed: 31200833