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Abstract
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.
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1 Section for Bioinformatics, Technical University of Denmark, DTU, Department of Health Technology, Kgs. Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870); Danish Cancer Society Research Center, Copenhagen, Denmark (GRID:grid.417390.8) (ISNI:0000 0001 2175 6024)
2 Danish Cancer Society Research Center, Copenhagen, Denmark (GRID:grid.417390.8) (ISNI:0000 0001 2175 6024)
3 Boston Children’s Hospital, Computational Health Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438)
4 Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
5 Semmelweis University, 2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Budapest, Hungary (GRID:grid.11804.3c) (ISNI:0000 0001 0942 9821)
6 Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary (GRID:grid.5591.8) (ISNI:0000 0001 2294 6276)
7 National Korányi Institute of Pulmonology, Department of Pathology, Budapest, Hungary (GRID:grid.419688.a) (ISNI:0000 0004 0442 8063)
8 Semmelweis University, 2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Budapest, Hungary (GRID:grid.11804.3c) (ISNI:0000 0001 0942 9821); National Korányi Institute of Pulmonology-Semmelweis University, Department of Tumor Biology, Budapest, Hungary (GRID:grid.419688.a) (ISNI:0000 0004 0442 8063)
9 Section for Bioinformatics, Technical University of Denmark, DTU, Department of Health Technology, Kgs. Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
10 Hungarian Academy of Sciences, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary (GRID:grid.5018.c) (ISNI:0000 0001 2149 4407)
11 Danish Cancer Society Research Center, Copenhagen, Denmark (GRID:grid.417390.8) (ISNI:0000 0001 2175 6024); Boston Children’s Hospital, Computational Health Informatics Program, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438); Semmelweis University, 2nd Department of Pathology, SE NAP, Brain Metastasis Research Group, Budapest, Hungary (GRID:grid.11804.3c) (ISNI:0000 0001 0942 9821)