{"title":"TP53特异性突变是乳腺癌同源重组缺陷的潜在生物标志物:一项临床新一代测序研究","authors":"Yongsheng Huang, Shuwei Ren, Li Ding, Yuanling Jiang, Jiahuan Luo, Jinghua Huang, Xinke Yin, Jianli Zhao, Sha Fu, Jianwei Liao","doi":"10.1093/pcmedi/pbae009","DOIUrl":null,"url":null,"abstract":"\n \n \n TP53 mutations and homologous recombination deficiency (HRD) occur frequently in breast cancer. However, the characteristics of TP53 pathogenic mutations in breast cancer patients with/without HRD are not clear.\n \n \n \n Both tumor and paired blood DNA from 119 breast cancer patients were performed clinical next-generation sequencing (NGS) by a 520-gene panel. Mutations, tumor mutation burden (TMB), and genomic HRD scores were assessed from NGS data.\n \n \n \n All TP53 pathogenic mutations in patients were the somatic origin, which was associated with the protein expression of estrogen receptor and progestogen receptor. Compared to patients without TP53 pathologic mutations, patients with TP53 pathologic mutations had higher levels of HRD scores and different genomic alterations. The frequency of TP53 pathologic mutation was higher in the HRD-High group (HRD score≥42) relative to that in the HRD-Low group (HRD score<42). TP53 has different mutational characteristics between the HRD-Low and HRD-High groups. TP53-specific mutation subgroups had diverse genomic features and TMB. Notably, TP53 pathogenic mutations predicted the HRD status of breast cancer patients with an AUC of 0.61. TP53-specific mutations, namely HRD-Low mutation, HRD-High mutation, and HRD common mutation, predicted the HRD status of breast cancer patients with AUC values of 0.32, 0.72, and 0.58, respectively. Interestingly, TP53 HRD-High mutation and HRD common mutation combinations showed the highest AUC values (0.80) in predicting HRD status.\n \n \n \n TP53-specific mutation combinations predict the HRD status of patients, indicating that TP53 pathogenic mutations could serve as a potential biomarker for PARP inhibitors in breast cancer patients.\n","PeriodicalId":33608,"journal":{"name":"Precision Clinical Medicine","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TP53-specific mutations serve as a potential biomarker for homologous recombination deficiency in breast cancer: a clinical next-generation sequencing study\",\"authors\":\"Yongsheng Huang, Shuwei Ren, Li Ding, Yuanling Jiang, Jiahuan Luo, Jinghua Huang, Xinke Yin, Jianli Zhao, Sha Fu, Jianwei Liao\",\"doi\":\"10.1093/pcmedi/pbae009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n TP53 mutations and homologous recombination deficiency (HRD) occur frequently in breast cancer. However, the characteristics of TP53 pathogenic mutations in breast cancer patients with/without HRD are not clear.\\n \\n \\n \\n Both tumor and paired blood DNA from 119 breast cancer patients were performed clinical next-generation sequencing (NGS) by a 520-gene panel. Mutations, tumor mutation burden (TMB), and genomic HRD scores were assessed from NGS data.\\n \\n \\n \\n All TP53 pathogenic mutations in patients were the somatic origin, which was associated with the protein expression of estrogen receptor and progestogen receptor. Compared to patients without TP53 pathologic mutations, patients with TP53 pathologic mutations had higher levels of HRD scores and different genomic alterations. The frequency of TP53 pathologic mutation was higher in the HRD-High group (HRD score≥42) relative to that in the HRD-Low group (HRD score<42). TP53 has different mutational characteristics between the HRD-Low and HRD-High groups. TP53-specific mutation subgroups had diverse genomic features and TMB. Notably, TP53 pathogenic mutations predicted the HRD status of breast cancer patients with an AUC of 0.61. TP53-specific mutations, namely HRD-Low mutation, HRD-High mutation, and HRD common mutation, predicted the HRD status of breast cancer patients with AUC values of 0.32, 0.72, and 0.58, respectively. Interestingly, TP53 HRD-High mutation and HRD common mutation combinations showed the highest AUC values (0.80) in predicting HRD status.\\n \\n \\n \\n TP53-specific mutation combinations predict the HRD status of patients, indicating that TP53 pathogenic mutations could serve as a potential biomarker for PARP inhibitors in breast cancer patients.\\n\",\"PeriodicalId\":33608,\"journal\":{\"name\":\"Precision Clinical Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Precision Clinical Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/pcmedi/pbae009\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Precision Clinical Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/pcmedi/pbae009","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
TP53-specific mutations serve as a potential biomarker for homologous recombination deficiency in breast cancer: a clinical next-generation sequencing study
TP53 mutations and homologous recombination deficiency (HRD) occur frequently in breast cancer. However, the characteristics of TP53 pathogenic mutations in breast cancer patients with/without HRD are not clear.
Both tumor and paired blood DNA from 119 breast cancer patients were performed clinical next-generation sequencing (NGS) by a 520-gene panel. Mutations, tumor mutation burden (TMB), and genomic HRD scores were assessed from NGS data.
All TP53 pathogenic mutations in patients were the somatic origin, which was associated with the protein expression of estrogen receptor and progestogen receptor. Compared to patients without TP53 pathologic mutations, patients with TP53 pathologic mutations had higher levels of HRD scores and different genomic alterations. The frequency of TP53 pathologic mutation was higher in the HRD-High group (HRD score≥42) relative to that in the HRD-Low group (HRD score<42). TP53 has different mutational characteristics between the HRD-Low and HRD-High groups. TP53-specific mutation subgroups had diverse genomic features and TMB. Notably, TP53 pathogenic mutations predicted the HRD status of breast cancer patients with an AUC of 0.61. TP53-specific mutations, namely HRD-Low mutation, HRD-High mutation, and HRD common mutation, predicted the HRD status of breast cancer patients with AUC values of 0.32, 0.72, and 0.58, respectively. Interestingly, TP53 HRD-High mutation and HRD common mutation combinations showed the highest AUC values (0.80) in predicting HRD status.
TP53-specific mutation combinations predict the HRD status of patients, indicating that TP53 pathogenic mutations could serve as a potential biomarker for PARP inhibitors in breast cancer patients.
期刊介绍:
Precision Clinical Medicine (PCM) is an international, peer-reviewed, open access journal that provides timely publication of original research articles, case reports, reviews, editorials, and perspectives across the spectrum of precision medicine. The journal's mission is to deliver new theories, methods, and evidence that enhance disease diagnosis, treatment, prevention, and prognosis, thereby establishing a vital communication platform for clinicians and researchers that has the potential to transform medical practice. PCM encompasses all facets of precision medicine, which involves personalized approaches to diagnosis, treatment, and prevention, tailored to individual patients or patient subgroups based on their unique genetic, phenotypic, or psychosocial profiles. The clinical conditions addressed by the journal include a wide range of areas such as cancer, infectious diseases, inherited diseases, complex diseases, and rare diseases.