Integrating clinical and biological prognostic biomarkers in patients with advanced NSCLC treated with immunotherapy: the DEMo score system.

Non-small cell lung cancer (NSCLC) biomarker immunotherapy plasma microRNA prognosis

Journal

Translational lung cancer research
ISSN: 2218-6751
Titre abrégé: Transl Lung Cancer Res
Pays: China
ID NLM: 101646875

Informations de publication

Date de publication:
Jun 2020
Historique:
entrez: 18 7 2020
pubmed: 18 7 2020
medline: 18 7 2020
Statut: ppublish

Résumé

Several biomarkers have been separately described to select patients for immunotherapy (IO), but few studies integrate these markers. Di Maio, EPSILoN and the plasma microRNA signature classifier (MSC), are three different clinico, biochemical and molecular markers able to independently predict prognosis in non-small cell lung cancer (NSCLC). Complete data such as sex, histology, ECOG-PS, stage, smoking status, presence of liver metastasis, LDH and neutrophils-to-lymphocyte ratio were collected to generate Di Maio and EPSILoN. The MSC risk level was prospectively assessed in plasma samples collected at baseline IO. The 3 markers were integrated into the DEMo score system prospectively tested in a cohort of 200 advanced NSCLC patients treated with IO. Endpoints were overall survival (OS), progression-free survival (PFS) and overall response rate (ORR). DEMo separated patients in 7-risk groups whose median OS had a trend ranging from 29.7 to 1.5 months (P<0.0001). When comparing patients with the lowest (n=29) and the highest (n=35) DEMo scores ORR was 45% and 3%, respectively (P<0.0001). Considering the 53 PD-L1 ≥50% patients, DEMo identified a group of 13 (25%) patients who benefit less from IO in terms of both OS (HR: 8.81; 95% CI: 2.87-20.01) and PFS (HR: 6.82; 95% CI: 2.57-18.10). Twelve out of 111 (11%) patients who most benefit from IO according to OS (HR: 0.21; 95% CI: 0.07-0.62) and PFS (HR: 0.28; 95% CI: 0.12-0.65) were identified by DEMo in the PD-L1 <50% group. The DEMo prognostic score system stratified NSCLC patients treated with IO better than each single marker. The proper use of DEMo according to PD-L1 could improve selection in IO regimens.

Sections du résumé

BACKGROUND BACKGROUND
Several biomarkers have been separately described to select patients for immunotherapy (IO), but few studies integrate these markers. Di Maio, EPSILoN and the plasma microRNA signature classifier (MSC), are three different clinico, biochemical and molecular markers able to independently predict prognosis in non-small cell lung cancer (NSCLC).
METHODS METHODS
Complete data such as sex, histology, ECOG-PS, stage, smoking status, presence of liver metastasis, LDH and neutrophils-to-lymphocyte ratio were collected to generate Di Maio and EPSILoN. The MSC risk level was prospectively assessed in plasma samples collected at baseline IO. The 3 markers were integrated into the DEMo score system prospectively tested in a cohort of 200 advanced NSCLC patients treated with IO. Endpoints were overall survival (OS), progression-free survival (PFS) and overall response rate (ORR).
RESULTS RESULTS
DEMo separated patients in 7-risk groups whose median OS had a trend ranging from 29.7 to 1.5 months (P<0.0001). When comparing patients with the lowest (n=29) and the highest (n=35) DEMo scores ORR was 45% and 3%, respectively (P<0.0001). Considering the 53 PD-L1 ≥50% patients, DEMo identified a group of 13 (25%) patients who benefit less from IO in terms of both OS (HR: 8.81; 95% CI: 2.87-20.01) and PFS (HR: 6.82; 95% CI: 2.57-18.10). Twelve out of 111 (11%) patients who most benefit from IO according to OS (HR: 0.21; 95% CI: 0.07-0.62) and PFS (HR: 0.28; 95% CI: 0.12-0.65) were identified by DEMo in the PD-L1 <50% group.
CONCLUSIONS CONCLUSIONS
The DEMo prognostic score system stratified NSCLC patients treated with IO better than each single marker. The proper use of DEMo according to PD-L1 could improve selection in IO regimens.

Identifiants

pubmed: 32676324
doi: 10.21037/tlcr-20-231
pii: tlcr-09-03-617
pmc: PMC7354114
doi:

Types de publication

Journal Article

Langues

eng

Pagination

617-628

Commentaires et corrections

Type : CommentIn

Informations de copyright

2020 Translational Lung Cancer Research. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr-20-231). AP reports grants from Italian Association for Cancer Research during the conduct of the study; personal fees from Roche, AstraZeneca and BMS outside the submitted work; in addition, AP has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. CP reports grants from Italian Association for Cancer Research during the conduct of the study; personal fees from BMS and MSD outside the submitted work; in addition, CP has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. GLR reports grants from Italian Association for Cancer Research during the conduct of the study; personal fees from BMS, MSD and AstraZeneca outside the submitted work; in addition, GLR has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. DS reports grants from Italian Association for Cancer Research during the conduct of the study; personal fees from BMS, AstraZeneca and Boehringer Ingelheim outside the submitted work; in addition, DS has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. RF reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, RF has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. GG reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, GG has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. ADT reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, ADT has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. GV reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, GV has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. MB reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, Marta B has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. RL reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, RL has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. BT reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, BT has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. FT reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, FT has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. VT has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. GS reports grants from Italian Association for Cancer Research during the conduct of the study; in addition, GS has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. MCG reports grants from Italian Association for Cancer Research during the conduct of the study; personal fees from Roche, AstraZeneca, BMS, MSD, International GmbH, Boehringer Ingelheim Italia S.P.A, Celgene, Eli Lilly, Ignyta, Incyte, Inivata, MedImmune, Novartis, Pfizer, Roche and Takeda outside the submitted work; in addition, MCG has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. Mattia B reports grants from Italian Ministry of Health during the conduct of the study; in addition, Mattia B has a patent IT1406672 licensed to Gensignia LS, a patent IT1403685 licensed to Gensignia LS, and a patent IT1406866 licensed to Gensignia LS. The other author has no conflicts of interest to declare.

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Auteurs

Arsela Prelaj (A)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
Department of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Milano, Italy.

Claudia Proto (C)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Giuseppe Lo Russo (G)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Diego Signorelli (D)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Roberto Ferrara (R)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Mavis Mensah (M)

Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Giulia Galli (G)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Alessandro De Toma (A)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Giuseppe Viscardi (G)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Marta Brambilla (M)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Riccardo Lobefaro (R)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Benedetta Trevisan (B)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Francesco Trovò (F)

Department of Electronics, Information, and Bioengineering, Polytechnic University of Milan, Milano, Italy.

Valter Torri (V)

Pharmacological Research Institute IRCSS Mario Negri, Milano, Italy.

Gabriella Sozzi (G)

Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Marina Chiara Garassino (MC)

Medical Oncology Department, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Mattia Boeri (M)

Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Classifications MeSH