The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer

Abstract Current assays fail to address breast cancer’s complex biology and accurately predict treatment response. On a retrospective cohort of 1082 female breast tissues, we develop and validate mFISHseq, which integrates multiplexed RNA fluorescent in situ hybridization with RNA-sequencing, guided...

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Main Authors: Evan D. Paul, Barbora Huraiová, Natália Valková, Natalia Matyasovska, Daniela Gábrišová, Soňa Gubová, Helena Ignačáková, Tomáš Ondris, Michal Gala, Liliane Barroso, Silvia Bendíková, Jarmila Bíla, Katarína Buranovská, Diana Drobná, Zuzana Krchňáková, Maryna Kryvokhyzha, Daniel Lovíšek, Viktoriia Mamoilyk, Veronika Mancikova, Nina Vojtaššáková, Michaela Ristová, Iñaki Comino-Méndez, Igor Andrašina, Pavel Morozov, Thomas Tuschl, Fresia Pareja, Jakob N. Kather, Pavol Čekan
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55583-2
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author Evan D. Paul
Barbora Huraiová
Natália Valková
Natalia Matyasovska
Daniela Gábrišová
Soňa Gubová
Helena Ignačáková
Tomáš Ondris
Michal Gala
Liliane Barroso
Silvia Bendíková
Jarmila Bíla
Katarína Buranovská
Diana Drobná
Zuzana Krchňáková
Maryna Kryvokhyzha
Daniel Lovíšek
Viktoriia Mamoilyk
Veronika Mancikova
Nina Vojtaššáková
Michaela Ristová
Iñaki Comino-Méndez
Igor Andrašina
Pavel Morozov
Thomas Tuschl
Fresia Pareja
Jakob N. Kather
Pavol Čekan
author_facet Evan D. Paul
Barbora Huraiová
Natália Valková
Natalia Matyasovska
Daniela Gábrišová
Soňa Gubová
Helena Ignačáková
Tomáš Ondris
Michal Gala
Liliane Barroso
Silvia Bendíková
Jarmila Bíla
Katarína Buranovská
Diana Drobná
Zuzana Krchňáková
Maryna Kryvokhyzha
Daniel Lovíšek
Viktoriia Mamoilyk
Veronika Mancikova
Nina Vojtaššáková
Michaela Ristová
Iñaki Comino-Méndez
Igor Andrašina
Pavel Morozov
Thomas Tuschl
Fresia Pareja
Jakob N. Kather
Pavol Čekan
author_sort Evan D. Paul
collection DOAJ
description Abstract Current assays fail to address breast cancer’s complex biology and accurately predict treatment response. On a retrospective cohort of 1082 female breast tissues, we develop and validate mFISHseq, which integrates multiplexed RNA fluorescent in situ hybridization with RNA-sequencing, guided by laser capture microdissection. This technique ensures tumor purity, unbiased whole transcriptome profiling, and explicitly quantifies intratumoral heterogeneity. Here we show mFISHseq has 93% accuracy compared to immunohistochemistry. Our consensus subtyping and risk groups mitigate single sample discordance, provide early and late prognostic information, and identify high risk patients with enriched immune signatures, which predict response to neoadjuvant immunotherapy in the multicenter, phase II, prospective I-SPY2 trial. We identify putative antibody-drug conjugate (ADC)-responsive patients, as evidenced by a 19-feature T-DM1 classifier, validated on I-SPY2. Deploying mFISHseq as a research-use only test on 48 patients demonstrates clinical feasibility, revealing insights into the efficacy of targeted therapies, like CDK4/6 inhibitors, immunotherapies, and ADCs.
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spelling doaj-art-c4d81a72ac9647e79cbd452aed2f79e02025-01-05T12:39:47ZengNature PortfolioNature Communications2041-17232025-01-0116112210.1038/s41467-024-55583-2The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancerEvan D. Paul0Barbora Huraiová1Natália Valková2Natalia Matyasovska3Daniela Gábrišová4Soňa Gubová5Helena Ignačáková6Tomáš Ondris7Michal Gala8Liliane Barroso9Silvia Bendíková10Jarmila Bíla11Katarína Buranovská12Diana Drobná13Zuzana Krchňáková14Maryna Kryvokhyzha15Daniel Lovíšek16Viktoriia Mamoilyk17Veronika Mancikova18Nina Vojtaššáková19Michaela Ristová20Iñaki Comino-Méndez21Igor Andrašina22Pavel Morozov23Thomas Tuschl24Fresia Pareja25Jakob N. Kather26Pavol Čekan27MultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkMultiplexDX, s.r.o., Comenius University Science ParkHospital Universitario Virgen de la Victoria, The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA)Department of Radiotherapy and Oncology, East Slovakia Institute of OncologyLaboratory for RNA Molecular Biology, The Rockefeller UniversityLaboratory for RNA Molecular Biology, The Rockefeller UniversityDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer CenterElse Kroener Fresenius Center for Digital Health, Technical University DresdenMultiplexDX, s.r.o., Comenius University Science ParkAbstract Current assays fail to address breast cancer’s complex biology and accurately predict treatment response. On a retrospective cohort of 1082 female breast tissues, we develop and validate mFISHseq, which integrates multiplexed RNA fluorescent in situ hybridization with RNA-sequencing, guided by laser capture microdissection. This technique ensures tumor purity, unbiased whole transcriptome profiling, and explicitly quantifies intratumoral heterogeneity. Here we show mFISHseq has 93% accuracy compared to immunohistochemistry. Our consensus subtyping and risk groups mitigate single sample discordance, provide early and late prognostic information, and identify high risk patients with enriched immune signatures, which predict response to neoadjuvant immunotherapy in the multicenter, phase II, prospective I-SPY2 trial. We identify putative antibody-drug conjugate (ADC)-responsive patients, as evidenced by a 19-feature T-DM1 classifier, validated on I-SPY2. Deploying mFISHseq as a research-use only test on 48 patients demonstrates clinical feasibility, revealing insights into the efficacy of targeted therapies, like CDK4/6 inhibitors, immunotherapies, and ADCs.https://doi.org/10.1038/s41467-024-55583-2
spellingShingle Evan D. Paul
Barbora Huraiová
Natália Valková
Natalia Matyasovska
Daniela Gábrišová
Soňa Gubová
Helena Ignačáková
Tomáš Ondris
Michal Gala
Liliane Barroso
Silvia Bendíková
Jarmila Bíla
Katarína Buranovská
Diana Drobná
Zuzana Krchňáková
Maryna Kryvokhyzha
Daniel Lovíšek
Viktoriia Mamoilyk
Veronika Mancikova
Nina Vojtaššáková
Michaela Ristová
Iñaki Comino-Méndez
Igor Andrašina
Pavel Morozov
Thomas Tuschl
Fresia Pareja
Jakob N. Kather
Pavol Čekan
The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
Nature Communications
title The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
title_full The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
title_fullStr The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
title_full_unstemmed The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
title_short The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer
title_sort spatially informed mfishseq assay resolves biomarker discordance and predicts treatment response in breast cancer
url https://doi.org/10.1038/s41467-024-55583-2
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