Impact of Molecular Subtyping and Immune Infiltration on Pathological Response and Outcome Following Neoadjuvant Pembrolizumab in Muscle-invasive Bladder Cancer.


Journal

European urology
ISSN: 1873-7560
Titre abrégé: Eur Urol
Pays: Switzerland
ID NLM: 7512719

Informations de publication

Date de publication:
06 2020
Historique:
received: 19 11 2019
accepted: 24 02 2020
pubmed: 14 3 2020
medline: 22 6 2021
entrez: 14 3 2020
Statut: ppublish

Résumé

The PURE-01 study (NCT02736266) evaluated the use of pembrolizumab before radical cystectomy (RC) in muscle-invasive bladder cancer (MIBC). To evaluate the ability of molecular signatures to predict the pathological complete response (CR: ypT0N0) and progression-free survival (PFS) after pembrolizumab and RC. We analyzed the expression data from patients with T2-4aN0M0 MIBC enrolled in the PURE-01 study (N=84) and from patients of a retrospective multicenter cohort treated with cisplatin-based neoadjuvant chemotherapy (NAC; N=140). Neoadjuvant pembrolizumab or NAC and RC. Immune signatures and molecular subtyping (The Cancer Genome Atlas, consensus model, and genomic subtyping classifier [GSC]) were evaluated in relation to CR and PFS. Multivariable logistic regression analyses for CR were used, adjusting for gender and clinical T stage. The Immune190 signature was significant for CR on multivariable logistic regression analyses (p= 0.02) in PURE-01, but not in the NAC cohort (p= 0.7). Hallmark signatures for interferon gamma (IFNγ; p= 0.004) and IFNα response (p= 0.006) were also associated with CR for PURE-01, but not for NAC (IFNγ: p= 0.9 and IFNα: p= 0.8). In PURE-01, 93% of patients with the highest Immune190 scores (>1st quartile) had 2-yr PFS versus 79% of those with lower scores; no difference was observed in NAC patients, as well as for the other hallmarks in both groups. The neuroendocrine-like subtype had the worst 2-yr PFS in all three subtyping models (33%) and the GSC claudin-low subtype had the best, with no recurrences in 2 yr. Basal subtypes (across classifications) with higher Immune190 scores showed 100% 2-yr PFS after pembrolizumab therapy (p = 0.04, compared with basal-Immune190 low). Statistical analyses are limited by the small number of events and short follow-up. Higher RNA-based immune signature scores were significantly associated with CR and numerically improved PFS outcomes after pembrolizumab, but not after NAC. These data emphasize that RNA profiling is a potential tool for personalizing neoadjuvant therapy selection. We used gene expression profiling to evaluate the association between immune gene expression and response to neoadjuvant immunotherapy, compared with standard chemotherapy, in patients with muscle-invasive bladder cancer (MIBC). We found a significant association between immune gene expression and response to pembrolizumab, but not chemotherapy. We conclude that gene expression profiling has the potential to guide personalized neoadjuvant therapy in MIBC.

Sections du résumé

BACKGROUND
The PURE-01 study (NCT02736266) evaluated the use of pembrolizumab before radical cystectomy (RC) in muscle-invasive bladder cancer (MIBC).
OBJECTIVE
To evaluate the ability of molecular signatures to predict the pathological complete response (CR: ypT0N0) and progression-free survival (PFS) after pembrolizumab and RC.
DESIGN, SETTING, AND PARTICIPANTS
We analyzed the expression data from patients with T2-4aN0M0 MIBC enrolled in the PURE-01 study (N=84) and from patients of a retrospective multicenter cohort treated with cisplatin-based neoadjuvant chemotherapy (NAC; N=140).
INTERVENTION
Neoadjuvant pembrolizumab or NAC and RC.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
Immune signatures and molecular subtyping (The Cancer Genome Atlas, consensus model, and genomic subtyping classifier [GSC]) were evaluated in relation to CR and PFS. Multivariable logistic regression analyses for CR were used, adjusting for gender and clinical T stage.
RESULTS AND LIMITATIONS
The Immune190 signature was significant for CR on multivariable logistic regression analyses (p= 0.02) in PURE-01, but not in the NAC cohort (p= 0.7). Hallmark signatures for interferon gamma (IFNγ; p= 0.004) and IFNα response (p= 0.006) were also associated with CR for PURE-01, but not for NAC (IFNγ: p= 0.9 and IFNα: p= 0.8). In PURE-01, 93% of patients with the highest Immune190 scores (>1st quartile) had 2-yr PFS versus 79% of those with lower scores; no difference was observed in NAC patients, as well as for the other hallmarks in both groups. The neuroendocrine-like subtype had the worst 2-yr PFS in all three subtyping models (33%) and the GSC claudin-low subtype had the best, with no recurrences in 2 yr. Basal subtypes (across classifications) with higher Immune190 scores showed 100% 2-yr PFS after pembrolizumab therapy (p = 0.04, compared with basal-Immune190 low). Statistical analyses are limited by the small number of events and short follow-up.
CONCLUSIONS
Higher RNA-based immune signature scores were significantly associated with CR and numerically improved PFS outcomes after pembrolizumab, but not after NAC. These data emphasize that RNA profiling is a potential tool for personalizing neoadjuvant therapy selection.
PATIENT SUMMARY
We used gene expression profiling to evaluate the association between immune gene expression and response to neoadjuvant immunotherapy, compared with standard chemotherapy, in patients with muscle-invasive bladder cancer (MIBC). We found a significant association between immune gene expression and response to pembrolizumab, but not chemotherapy. We conclude that gene expression profiling has the potential to guide personalized neoadjuvant therapy in MIBC.

Identifiants

pubmed: 32165065
pii: S0302-2838(20)30138-X
doi: 10.1016/j.eururo.2020.02.028
pii:
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
Antineoplastic Agents, Immunological 0
pembrolizumab DPT0O3T46P

Banques de données

ClinicalTrials.gov
['NCT02736266']

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

701-710

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Andrea Necchi (A)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. Electronic address: andrea.necchi@istitutotumori.mi.it.

Daniele Raggi (D)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Andrea Gallina (A)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Jeffrey S Ross (JS)

Foundation Medicine, Cambridge, MA, USA; Upstate Medical University, New York, NY, USA.

Elena Farè (E)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Patrizia Giannatempo (P)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Laura Marandino (L)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Maurizio Colecchia (M)

Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Roberta Lucianò (R)

Department of Pathology, IRCCS Ospedale San Raffaele, Milan, Italy.

Marco Bianchi (M)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Renzo Colombo (R)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Andrea Salonia (A)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.

Giorgio Gandaglia (G)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Nicola Fossati (N)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Marco Bandini (M)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Filippo Pederzoli (F)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Umberto Capitanio (U)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.

Francesco Montorsi (F)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.

Joep J de Jong (JJ)

Department of Urology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Ryan Dittamore (R)

Decipher Biosciences Inc., Vancouver, British Columbia, Canada.

Yang Liu (Y)

Decipher Biosciences Inc., Vancouver, British Columbia, Canada.

Elai Davicioni (E)

Decipher Biosciences Inc., Vancouver, British Columbia, Canada.

Joost L Boormans (JL)

Department of Urology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Alberto Briganti (A)

Unit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.

Peter C Black (PC)

Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada.

Ewan A Gibb (EA)

Decipher Biosciences Inc., Vancouver, British Columbia, Canada. Electronic address: ewan.gibb@decipherbio.com.

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Classifications MeSH