KEAP1-driven co-mutations in lung adenocarcinoma unresponsive to immunotherapy despite high tumor mutational burden.


Journal

Annals of oncology : official journal of the European Society for Medical Oncology
ISSN: 1569-8041
Titre abrégé: Ann Oncol
Pays: England
ID NLM: 9007735

Informations de publication

Date de publication:
12 2020
Historique:
received: 27 05 2020
revised: 07 08 2020
accepted: 12 08 2020
pubmed: 1 9 2020
medline: 7 1 2021
entrez: 1 9 2020
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICIs) have demonstrated significant overall survival (OS) benefit in lung adenocarcinoma (LUAD). Nevertheless, a remarkable interpatient heterogeneity characterizes immunotherapy efficacy, regardless of programmed death-ligand 1 (PD-L1) expression and tumor mutational burden (TMB). KEAP1 mutations are associated with shorter survival in LUAD patients receiving chemotherapy. We hypothesized that the pattern of KEAP1 co-mutations and mutual exclusivity may identify LUAD patients unresponsive to immunotherapy. KEAP1 mutational co-occurrences and somatic interactions were studied in the whole MSKCC LUAD dataset. The impact of coexisting alterations on survival outcomes in ICI-treated LUAD patients was verified in the randomized phase II/III POPLAR/OAK trials (blood-based sequencing, bNGS cohort, N = 253). Three tissue-based sequencing studies (Rome, MSKCC and DFCI) were used for independent validation (tNGS cohort, N = 289). Immunogenomic features were analyzed using The Cancer Genome Atlas (TCGA) LUAD study. On the basis of KEAP1 mutational co-occurrences, we identified four genes potentially associated with reduced efficacy of immunotherapy (KEAP1, PBRM1, SMARCA4 and STK11). Independent of the nature of co-occurring alterations, tumors with coexisting mutations (CoMut) had inferior survival as compared with single-mutant (SM) and wild-type (WT) tumors (bNGS cohort: CoMut versus SM log-rank P = 0.048, CoMut versus WT log-rank P < 0.001; tNGS cohort: CoMut versus SM log-rank P = 0.037, CoMut versus WT log-rank P = 0.006). The CoMut subset harbored higher TMB than the WT disease and the adverse significance of coexisting alterations was maintained in LUAD with high TMB. Significant immunogenomic differences were observed between the CoMut and WT groups in terms of core immune signatures, T-cell receptor repertoire, T helper cell signatures and immunomodulatory genes. This study indicates that coexisting alterations in a limited set of genes characterize a subset of LUAD unresponsive to immunotherapy and with high TMB. An immune-cold microenvironment may account for the clinical course of the disease.

Sections du résumé

BACKGROUND
Immune checkpoint inhibitors (ICIs) have demonstrated significant overall survival (OS) benefit in lung adenocarcinoma (LUAD). Nevertheless, a remarkable interpatient heterogeneity characterizes immunotherapy efficacy, regardless of programmed death-ligand 1 (PD-L1) expression and tumor mutational burden (TMB). KEAP1 mutations are associated with shorter survival in LUAD patients receiving chemotherapy. We hypothesized that the pattern of KEAP1 co-mutations and mutual exclusivity may identify LUAD patients unresponsive to immunotherapy.
PATIENTS AND METHODS
KEAP1 mutational co-occurrences and somatic interactions were studied in the whole MSKCC LUAD dataset. The impact of coexisting alterations on survival outcomes in ICI-treated LUAD patients was verified in the randomized phase II/III POPLAR/OAK trials (blood-based sequencing, bNGS cohort, N = 253). Three tissue-based sequencing studies (Rome, MSKCC and DFCI) were used for independent validation (tNGS cohort, N = 289). Immunogenomic features were analyzed using The Cancer Genome Atlas (TCGA) LUAD study.
RESULTS
On the basis of KEAP1 mutational co-occurrences, we identified four genes potentially associated with reduced efficacy of immunotherapy (KEAP1, PBRM1, SMARCA4 and STK11). Independent of the nature of co-occurring alterations, tumors with coexisting mutations (CoMut) had inferior survival as compared with single-mutant (SM) and wild-type (WT) tumors (bNGS cohort: CoMut versus SM log-rank P = 0.048, CoMut versus WT log-rank P < 0.001; tNGS cohort: CoMut versus SM log-rank P = 0.037, CoMut versus WT log-rank P = 0.006). The CoMut subset harbored higher TMB than the WT disease and the adverse significance of coexisting alterations was maintained in LUAD with high TMB. Significant immunogenomic differences were observed between the CoMut and WT groups in terms of core immune signatures, T-cell receptor repertoire, T helper cell signatures and immunomodulatory genes.
CONCLUSIONS
This study indicates that coexisting alterations in a limited set of genes characterize a subset of LUAD unresponsive to immunotherapy and with high TMB. An immune-cold microenvironment may account for the clinical course of the disease.

Identifiants

pubmed: 32866624
pii: S0923-7534(20)42170-2
doi: 10.1016/j.annonc.2020.08.2105
pii:
doi:

Substances chimiques

KEAP1 protein, human 0
Kelch-Like ECH-Associated Protein 1 0
NF-E2-Related Factor 2 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1746-1754

Informations de copyright

Copyright © 2020 European Society for Medical Oncology. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure LP received travel grants from Eisai, Roche, Pfizer, Novartis; speaker fees from Roche, Pfizer, Novartis, Gentili. PVici received travel grants from Eisai, Roche, Pfizer, Novartis; speaker fees/advisory boards from Roche, Pfizer, Novartis, Gentili. RG received advisory boards/honoraria/speakers' fee from Astra Zeneca and Roche. RDM is a scientific advisory board member at Exosomics SpA (Siena IT), HiberCell Inc. (New York, NY), Kiromic Inc. (Houston, TX) and Exiris Inc. (Rome, IT). All other authors declare no conflicts of interest. Data sharing Data concerning the Rome cohort are provided in supplementary Data File S1, available at https://doi.org/10.1016/j.annonc.2020.08.2105. The MSKCC and DFCI studies are available at www.cbioportal.org. The OAK and POPLAR trials are available as supplementary information in Gandara DR et al.(23) Immunogenomic features related to the TCGA LUAD study were downloaded from the CRI iAtlas Portal (available at www.cri-iatlas.org).

Auteurs

D Marinelli (D)

Department of Clinical and Molecular Medicine, Oncology Unit, Sant'Andrea Hospital, Sapienza University, Rome, Italy.

M Mazzotta (M)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

S Scalera (S)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

I Terrenato (I)

Biostatistics-Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

F Sperati (F)

Biostatistics Unit, San Gallicano Dermatological Institute IRCCS, Rome, Italy.

L D'Ambrosio (L)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

M Pallocca (M)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

G Corleone (G)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

E Krasniqi (E)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

L Pizzuti (L)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

M Barba (M)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

S Carpano (S)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

P Vici (P)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

M Filetti (M)

Department of Clinical and Molecular Medicine, Oncology Unit, Sant'Andrea Hospital, Sapienza University, Rome, Italy.

R Giusti (R)

Medical Oncology Unit, Sant'Andrea Hospital, Rome, Italy.

A Vecchione (A)

Department of Clinical and Molecular Medicine, Pathology Unit, Sant'Andrea Hospital, Sapienza University, Rome, Italy.

M Occhipinti (M)

Medical Oncology Unit B, Policlinico Umberto I, Sapienza University, Rome, Italy.

A Gelibter (A)

Medical Oncology Unit B, Policlinico Umberto I, Sapienza University, Rome, Italy.

A Botticelli (A)

Medical Oncology Unit B, Policlinico Umberto I, Sapienza University, Rome, Italy.

F De Nicola (F)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

L Ciuffreda (L)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

F Goeman (F)

Oncogenomic and Epigenetic Unit, IRCCS "Regina Elena" National Cancer Institute, Rome, Italy.

E Gallo (E)

Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

P Visca (P)

Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

E Pescarmona (E)

Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

M Fanciulli (M)

SAFU Laboratory, Department of Research, Advanced Diagnostic, and Technological Innovation, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

R De Maria (R)

Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Institute of General Pathology, Università Cattolica del Sacro Cuore, Rome, Italy.

P Marchetti (P)

Department of Clinical and Molecular Medicine, Oncology Unit, Sant'Andrea Hospital, Sapienza University, Rome, Italy; Medical Oncology Unit B, Policlinico Umberto I, Sapienza University, Rome, Italy.

G Ciliberto (G)

Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

M Maugeri-Saccà (M)

Division of Medical Oncology 2, IRCCS Regina Elena National Cancer Institute, Rome, Italy. Electronic address: marcello.maugerisacca@ifo.gov.it.

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