A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic mutational signatures.


Journal

NPJ precision oncology
ISSN: 2397-768X
Titre abrégé: NPJ Precis Oncol
Pays: England
ID NLM: 101708166

Informations de publication

Date de publication:
18 Jun 2021
Historique:
received: 04 11 2020
accepted: 28 05 2021
entrez: 19 6 2021
pubmed: 20 6 2021
medline: 20 6 2021
Statut: epublish

Résumé

PARP inhibitors are approved for the treatment of solid tumor types that frequently harbor alterations in the key homologous recombination (HR) genes, BRCA1/2. Other tumor types, such as lung cancer, may also be HR deficient, but the frequency of such cases is less well characterized. Specific DNA aberration profiles (mutational signatures) are induced by homologous recombination deficiency (HRD) and their presence can be used to assess the presence or absence of HR deficiency in a given tumor biopsy even in the absence of an observed alteration of an HR gene. We derived various HRD-associated mutational signatures from whole-genome and whole-exome sequencing data in the lung adenocarcinoma and lung squamous carcinoma cases from TCGA, and in a patient of ours with stage IVA lung cancer with exceptionally good response to platinum-based therapy, and in lung cancer cell lines. We found that a subset of the investigated cases, both with and without biallelic loss of BRCA1 or BRCA2, showed robust signs of HR deficiency. The extreme platinum responder case also showed a robust HRD-associated genomic mutational profile. HRD-associated mutational signatures were also associated with PARP inhibitor sensitivity in lung cancer cell lines. Consequently, lung cancer cases with HRD, as identified by diagnostic mutational signatures, may benefit from PARP inhibitor therapy.

Identifiants

pubmed: 34145376
doi: 10.1038/s41698-021-00199-8
pii: 10.1038/s41698-021-00199-8
pmc: PMC8213828
doi:

Types de publication

Journal Article

Langues

eng

Pagination

55

Subventions

Organisme : Breast Cancer Research Foundation (BCRF)
ID : BCRF-17-156
Organisme : Novo Nordisk Fonden (Novo Nordisk Foundation)
ID : NNF15OC0016584
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : KTIA_NAP_13-2014-0021
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : NAP2-2017-1.2.1-NKP-0002
Organisme : Kræftens Bekæmpelse (Danish Cancer Society)
ID : R90-A6213

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Auteurs

Miklos Diossy (M)

Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, Kgs. Lyngby, Denmark.
Danish Cancer Society Research Center, Copenhagen, Denmark.

Zsofia Sztupinszki (Z)

Danish Cancer Society Research Center, Copenhagen, Denmark.

Judit Borcsok (J)

Danish Cancer Society Research Center, Copenhagen, Denmark.

Marcin Krzystanek (M)

Danish Cancer Society Research Center, Copenhagen, Denmark.

Viktoria Tisza (V)

Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.

Sandor Spisak (S)

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Orsolya Rusz (O)

2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary.

Jozsef Timar (J)

2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary.

István Csabai (I)

Department of Physics of Complex Systems, Eötvös Loránd University, Budapest, Hungary.

Janos Fillinger (J)

Department of Pathology, National Korányi Institute of Pulmonology, Budapest, Hungary.

Judit Moldvay (J)

2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary.
Department of Tumor Biology, National Korányi Institute of Pulmonology-Semmelweis University, Budapest, Hungary.

Anders Gorm Pedersen (AG)

Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, DTU, Kgs. Lyngby, Denmark.

David Szuts (D)

Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.

Zoltan Szallasi (Z)

Danish Cancer Society Research Center, Copenhagen, Denmark. Zoltan.szallasi@childrens.harvard.edu.
Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA. Zoltan.szallasi@childrens.harvard.edu.
2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Semmelweis University, Budapest, Hungary. Zoltan.szallasi@childrens.harvard.edu.

Classifications MeSH