Dataset Information

Identification and clinical impact of potentially actionable somatic oncogenic mutations in solid tumor samples.

ABSTRACT:

Background

An increasing number of anti-cancer therapeutic agents target specific mutant proteins that are expressed by many different tumor types. Successful use of these therapies is dependent on the presence or absence of somatic mutations within the patient's tumor that can confer clinical efficacy or drug resistance.

Methods

The aim of our study was to determine the type, frequency, overlap and functional proteomic effects of potentially targetable recurrent somatic hotspot mutations in 47 cancer-related genes in multiple disease sites that could be potential therapeutic targets using currently available agents or agents in clinical development.

Results

Using MassArray technology, of the 1300 patient tumors analysed 571 (43.9%) had at least one somatic mutation. Mutations were identified in 30 different genes. KRAS (16.5%), PIK3CA (13.6%) and BRAF (3.8%) were the most frequently mutated genes. Prostate (10.8%) had the lowest number of somatic mutations identified, while no mutations were identified in sarcoma. Ocular melanoma (90.6%), endometrial (72.4%) and colorectal (66.4%) tumors had the highest number of mutations. We noted high concordance between mutations in different parts of the tumor (94%) and matched primary and metastatic samples (90%). KRAS and BRAF mutations were mutually exclusive. Mutation co-occurrence involved mainly PIK3CA and PTPN11, and PTPN11 and APC. Reverse Phase Protein Array (RPPA) analysis demonstrated that PI3K and MAPK signalling pathways were more altered in tumors with mutations compared to wild type tumors.

Conclusions

Hotspot mutational profiling is a sensitive, high-throughput approach for identifying mutations of clinical relevance to molecular based therapeutics for treatment of cancer, and could potentially be of use in identifying novel opportunities for genotype-driven clinical trials.

SUBMITTER: Toomey S

PROVIDER: S-EPMC7036178 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification and clinical impact of potentially actionable somatic oncogenic mutations in solid tumor samples.

Toomey Sinead S Carr Aoife A Mezynski Mateusz Janusz MJ Elamin Yasir Y Rafee Shereen S Cremona Mattia M Morgan Clare C Madden Stephen S Abdul-Jalil Khairun I KI Gately Kathy K Farrelly Angela A Kay Elaine W EW Kennedy Susan S O'Byrne Kenneth K Grogan Liam L Breathnach Oscar O Morris Patrick G PG Eustace Alexander J AJ Fay Joanna J Cummins Robert R O'Grady Anthony A Kalachand Roshni R O'Donovan Norma N Kelleher Fergal F O'Reilly Aine A Doherty Mark M Crown John J Hennessy Bryan T BT

Journal of translational medicine 20200222 1

<h4>Background</h4>An increasing number of anti-cancer therapeutic agents target specific mutant proteins that are expressed by many different tumor types. Successful use of these therapies is dependent on the presence or absence of somatic mutations within the patient's tumor that can confer clinical efficacy or drug resistance.<h4>Methods</h4>The aim of our study was to determine the type, frequency, overlap and functional proteomic effects of potentially targetable recurrent somatic hotspot m ...[more]

PMID: 32087721

Similar Datasets

Project description:Tumor-only genomic profiling (TGP) is increasingly advocated for all patients with cancer given the possible therapeutic implications. It is critical to develop clinical algorithms to identify and address potentially actionable germline findings identified by TGP. A multidisciplinary team analyzed publicly available data for genes in which mutations are implicated in germline cancer susceptibility and established a pipeline to automate clinical referral for evaluation of TGP findings. A total of 2,308 patients underwent TGP, with 81 patients (3.5%) identified by the automatic referral pipeline; 37 patients (1.6%) were referred outside the pipeline based on concerns by the molecular geneticist, pathologist, or oncologist regarding genotype-phenotype correlation. Thirty-one patients (38%) and 17 patients (46%) underwent germline testing from the automatic pipeline and other referrals, respectively, and of these patients, 23 (72%) and four (24%) had confirmed germline pathogenic variants (GPVs), respectively. The majority of confirmed GPVs were in automatic referral genes, with BRCA2 being most common (confirmed GPVs in 11 [85%] of 13 patients tested), followed by PALB2 (five [67%] of six patients), BRCA1 (two [40%] of five patients), MSH6 (two of three patients), and MLH1 (two of two patients). Forty-eight percent of confirmed GPVs were found in tumors known to be associated with germline mutations in the gene. Germline testing was not performed in 50 (62%) of 81 patients identified by automatic referral as a result of poor patient health or death (30%), lack of follow-up (30%), and patient refusal (30%). Of patients undergoing TGP, 5% had somatic findings triggering referral, and implementation of an automatic referral pipeline based solely on gene versus other clinical or molecular features resulted in a 74% germline confirmation. However, only 41% of referred patients underwent germline testing. Systems-based approaches are needed to identify carriers of actionable germline cancer susceptibility mutations identified by TGP.

Project description:ObjectiveEpithelial ovarian cancer (EOC) is a heterogeneous disease with diverse clinicopathological features and behaviors, and its heterogeneity may be concerned with the accumulation of multiple somatic oncogenic mutations. The major goals of this study are to systematically perform the comprehensive mutational profiling in EOC patients, and investigate the associations between somatic mutations and clinicopathological characteristics.MethodsA total of 80 surgical specimens were obtained from EOC patients who had previously undergone primary debulking surgery, and genomic DNAs were extracted from fresh-frozen tissues. We investigated mutational status in hot spot regions of 50 cancer-related genes by targeted next-generation sequencing using an Ion AmpliSeq Cancer Hotspot Panel v2 Kit.ResultsValidated mutations were detected in 66 of the 80 tumors (82.5%). The five most frequently mutated genes were TP53 (43.8%), PIK3CA (27.5%), KRAS (23.8%), PTEN (10%) and CTNNB1 (10%). PTEN and CTNNB1 mutations were associated with younger age. PIK3CA1, KRAS and CTNNB1 mutations were observed in early-stage, whereas TP53 mutations were more common in advanced stage. Significant associations were observed between TP53 mutation and serous carcinoma, and between KRAS mutation and mucinous carcinoma. Both PIK3CA mutation and CTNNB1 mutation were also significantly associated with endometrioid and clear cell carcinoma. The patients with PIK3CA and KRAS mutations were significantly associated with favorable progression free survival (PFS). In particular, PIK3CA mutations had more significant associations with favorable PFS than PIK3CA wild-type in the endometrioid subtype (P = 0.012). Patients with mutations only in TP53 were significantly associated with worse PFS.ConclusionEOCs were heterogeneous at the genomic level and harbored somatic oncogenic mutations. Our molecular profiling may have the potential for becoming a novel stratification within histological subtypes of EOC. Further studies are needed to define molecular classification for improved clinical outcomes and treatment of EOC patients in future.

Dataset Information

Identification and clinical impact of potentially actionable somatic oncogenic mutations in solid tumor samples.

Background

Methods

Results

Conclusions

Publications

Identification and clinical impact of potentially actionable somatic oncogenic mutations in solid tumor samples.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets