Cargando…

Development of a novel BRCAness score that predicts response to PARP inhibitors

BACKGROUND: BRCAness is a characteristic feature of homologous recombination deficiency (HRD) mimicking BRCA gene mutation in breast cancer. We hypothesized that a measure to quantify BRCAness that causes synthetic lethality in BRCA mutated tumors will identify responders to PARP inhibitors. METHODS...

Descripción completa

Detalles Bibliográficos
Autores principales: Oshi, Masanori, Gandhi, Shipra, Wu, Rongrong, Asaoka, Mariko, Yan, Li, Yamada, Akimitsu, Yamamoto, Shinya, Narui, Kazutaka, Chishima, Takashi, Ishikawa, Takashi, Endo, Itaru, Takabe, Kazuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652967/
https://www.ncbi.nlm.nih.gov/pubmed/36371386
http://dx.doi.org/10.1186/s40364-022-00427-8
_version_ 1784828589465665536
author Oshi, Masanori
Gandhi, Shipra
Wu, Rongrong
Asaoka, Mariko
Yan, Li
Yamada, Akimitsu
Yamamoto, Shinya
Narui, Kazutaka
Chishima, Takashi
Ishikawa, Takashi
Endo, Itaru
Takabe, Kazuaki
author_facet Oshi, Masanori
Gandhi, Shipra
Wu, Rongrong
Asaoka, Mariko
Yan, Li
Yamada, Akimitsu
Yamamoto, Shinya
Narui, Kazutaka
Chishima, Takashi
Ishikawa, Takashi
Endo, Itaru
Takabe, Kazuaki
author_sort Oshi, Masanori
collection PubMed
description BACKGROUND: BRCAness is a characteristic feature of homologous recombination deficiency (HRD) mimicking BRCA gene mutation in breast cancer. We hypothesized that a measure to quantify BRCAness that causes synthetic lethality in BRCA mutated tumors will identify responders to PARP inhibitors. METHODS: A total of 6753 breast cancer patients from 3 large independent cohorts were analyzed. A score was generated by transcriptomic profiling using gene set variation analysis algorithm on 34 BRCA1-mutation related genes selected by high AUC levels in ROC curve between BRCA1 mutation and wildtype breast cancer. RESULTS: The score was significantly associated with BRCA1 mutation, high mutation load and intratumoral heterogeneity as expected, as well as with high HRD, DNA repair and MKi67 expression regardless of BRCA mutations. High BRCAness tumors enriched not only DNA repair, but also all five Hallmark cell proliferation-related gene sets. High BRCAness tumors were significantly associated with higher cytolytic activity and with higher anti-cancerous immune cell infiltration. Not only did the breast cancer cell lines with BRCA-mutation show high score, but even the other cells in human breast cancer tumor microenvironment were contributing to the score. The BRCAness score was the highest in triple-negative breast cancer consistently in all 3 cohorts. BRCAness was associated with response to chemotherapy and correlated strongly with response to PARP inhibitor in both triple-negative and ER-positive/HER2-negative breast cancer. CONCLUSIONS: We established a novel BRCAness score using BRCA-mutation-related gene expressions and found that it associates with DNA repair and predicts response to PARP inhibitors regardless of BRCA mutation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-022-00427-8.
format Online
Article
Text
id pubmed-9652967
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96529672022-11-15 Development of a novel BRCAness score that predicts response to PARP inhibitors Oshi, Masanori Gandhi, Shipra Wu, Rongrong Asaoka, Mariko Yan, Li Yamada, Akimitsu Yamamoto, Shinya Narui, Kazutaka Chishima, Takashi Ishikawa, Takashi Endo, Itaru Takabe, Kazuaki Biomark Res Research BACKGROUND: BRCAness is a characteristic feature of homologous recombination deficiency (HRD) mimicking BRCA gene mutation in breast cancer. We hypothesized that a measure to quantify BRCAness that causes synthetic lethality in BRCA mutated tumors will identify responders to PARP inhibitors. METHODS: A total of 6753 breast cancer patients from 3 large independent cohorts were analyzed. A score was generated by transcriptomic profiling using gene set variation analysis algorithm on 34 BRCA1-mutation related genes selected by high AUC levels in ROC curve between BRCA1 mutation and wildtype breast cancer. RESULTS: The score was significantly associated with BRCA1 mutation, high mutation load and intratumoral heterogeneity as expected, as well as with high HRD, DNA repair and MKi67 expression regardless of BRCA mutations. High BRCAness tumors enriched not only DNA repair, but also all five Hallmark cell proliferation-related gene sets. High BRCAness tumors were significantly associated with higher cytolytic activity and with higher anti-cancerous immune cell infiltration. Not only did the breast cancer cell lines with BRCA-mutation show high score, but even the other cells in human breast cancer tumor microenvironment were contributing to the score. The BRCAness score was the highest in triple-negative breast cancer consistently in all 3 cohorts. BRCAness was associated with response to chemotherapy and correlated strongly with response to PARP inhibitor in both triple-negative and ER-positive/HER2-negative breast cancer. CONCLUSIONS: We established a novel BRCAness score using BRCA-mutation-related gene expressions and found that it associates with DNA repair and predicts response to PARP inhibitors regardless of BRCA mutation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-022-00427-8. BioMed Central 2022-11-12 /pmc/articles/PMC9652967/ /pubmed/36371386 http://dx.doi.org/10.1186/s40364-022-00427-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Oshi, Masanori
Gandhi, Shipra
Wu, Rongrong
Asaoka, Mariko
Yan, Li
Yamada, Akimitsu
Yamamoto, Shinya
Narui, Kazutaka
Chishima, Takashi
Ishikawa, Takashi
Endo, Itaru
Takabe, Kazuaki
Development of a novel BRCAness score that predicts response to PARP inhibitors
title Development of a novel BRCAness score that predicts response to PARP inhibitors
title_full Development of a novel BRCAness score that predicts response to PARP inhibitors
title_fullStr Development of a novel BRCAness score that predicts response to PARP inhibitors
title_full_unstemmed Development of a novel BRCAness score that predicts response to PARP inhibitors
title_short Development of a novel BRCAness score that predicts response to PARP inhibitors
title_sort development of a novel brcaness score that predicts response to parp inhibitors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652967/
https://www.ncbi.nlm.nih.gov/pubmed/36371386
http://dx.doi.org/10.1186/s40364-022-00427-8
work_keys_str_mv AT oshimasanori developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT gandhishipra developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT wurongrong developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT asaokamariko developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT yanli developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT yamadaakimitsu developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT yamamotoshinya developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT naruikazutaka developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT chishimatakashi developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT ishikawatakashi developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT endoitaru developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors
AT takabekazuaki developmentofanovelbrcanessscorethatpredictsresponsetoparpinhibitors