Dataset Information

Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling.

ABSTRACT:

Background

Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses.

Objective

To automatically parse, categorize, and aggregate clinical molecular profile data generated during cancer care as well as use this data to address multiple secondary use cases.

Methods

A system to parse, categorize and aggregate molecular profile data was created. A naÿve Bayesian classifier categorized results according to clinical groups. The accuracy of these systems were validated against a published expertly-curated subset of molecular profiling data.

Results

Following one year of operation, 819 samples have been accurately parsed and categorized to generate a data repository of 10,620 genetic variants. The database has been used for operational, clinical trial, and discovery science research.

Conclusions

A real-time database of molecular profiling data is a pragmatic solution to several knowledge management problems in the practice and science of precision oncology.

SUBMITTER: Rioth MJ

PROVIDER: S-EPMC4926741 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Publications

Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling.

Rioth Matthew J MJ Thota Ramya R Staggs David B DB Johnson Douglas B DB Warner Jeremy L JL

Journal of the American Medical Informatics Association : JAMIA 20160328 4

<h4>Background</h4>Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses.<h4>Objective</h4>To automatically parse, categorize, and aggregate clinical molecular profile data generated during cancer care as well as use this data to address multiple secondary use cases.<h4>Methods</h4>A system to parse, ...[more]

PMID: 27026612

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Project description:Background: The widespread adoption of precision medicine in routine cancer care remains a critical challenge, even as advanced technologies expand and personalized therapies demonstrate remarkable success in certain cancer types. While breakthrough innovations in targeted treatments have revolutionized outcomes for specific cancers, translating these scientific advances into standard clinical practice continues to be an evolving and complex endeavor. Croatia has a nationwide project of precision oncology through the comprehensive genomic profiling (CGP) analysis. Since collecting and analyzing real-world data is crucial for clinical research and defining the value of CGP in precision oncology, we aimed to present the data from everyday clinical practice given the opportunities and challenges we faced. Methods: This was a retrospective observational study conducted at the national level in all patients whose tumor samples were subjected to CGP between 1 January 2020 and 31 December 2021. Results: In total, 481 patients with CGP results were included in this study. Gastrointestinal and reproductive malignancies were the most common, accounting for 29.1% and 28.9% of all tested tumors, respectively. Specifically, colorectal tumors made up 19.1% of cases, while uterine tumors represented 11.2%. At least one clinically relevant genomic alteration was found in 76.7% of patients, with the KRAS mutation (27.2%) being the most common. During the two-year study period, 26,709 individuals lost their lives to cancer in Croatia. Combining this with the CGP selection criteria valid at the time, there was an estimated population of approximately 13,350 potentially eligible patients for the CGP analysis, meaning that only 3.6% of potentially eligible patients were tested. Conclusions: The analysis identified clinically actionable genomic alterations in approximately 80% of the evaluated patients, suggesting they could be candidates for targeted therapeutic interventions. The adoption of CGP remains limited, with estimates indicating that under 5% of metastatic cancer patients received testing in the initial two-year implementation period, despite established national insurance coverage guidelines. This low utilization rate suggests a significant gap in access to genomic testing, leaving many eligible cancer patients without the potential benefits of this diagnostic approach.

Project description:IntroductionCompared with breast cancer (BC) in women, BC in men is a rare disease with genetic and molecular peculiarities. Therapeutic approaches for male BC (MBC) are currently extrapolated from the clinical management of female BC, although the disease does not exactly overlap in males and females. Data on specific molecular biomarkers in MBC are lacking, cutting out male patients from more appropriate therapeutic strategies. Growing evidence indicates that Next Generation Sequencing (NGS) multigene panel testing can be used for the detection of predictive molecular biomarkers, including Tumor Mutational Burden (TMB) and Microsatellite Instability (MSI).MethodsIn this study, NGS multigene gene panel sequencing, targeting 1.94 Mb of the genome at 523 cancer-relevant genes (TruSight Oncology 500, Illumina), was used to identify and characterize somatic variants, Copy Number Variations (CNVs), TMB and MSI, in 15 Formalin-Fixed Paraffin-Embedded (FFPE) male breast cancer samples.Results and discussionA total of 40 pathogenic variants were detected in 24 genes. All MBC cases harbored at least one pathogenic variant. PIK3CA was the most frequently mutated gene, with six (40.0%) MBCs harboring targetable PIK3CA alterations. CNVs analysis showed copy number gains in 22 genes. No copy number losses were found. Specifically, 13 (86.7%) MBCs showed gene copy number gains. MYC was the most frequently amplified gene with eight (53.3%) MBCs showing a median fold-changes value of 1.9 (range 1.8-3.8). A median TMB value of 4.3 (range 0.8-12.3) mut/Mb was observed, with two (13%) MBCs showing high-TMB. The median percentage of MSI was 2.4% (range 0-17.6%), with two (13%) MBCs showing high-MSI. Overall, these results indicate that NGS multigene panel sequencing can provide a comprehensive molecular tumor profiling in MBC. The identification of targetable molecular alterations in more than 70% of MBCs suggests that the NGS approach may allow for the selection of MBC patients eligible for precision/targeted therapy.

Project description:PURPOSE:Precision oncology is hindered by the lack of decision support for determining the functional and therapeutic significance of genomic alterations in tumors and relevant clinically available options. To bridge this knowledge gap, we established a Precision Oncology Decision Support (PODS) team that provides annotations at the alteration-level and subsequently determined if clinical decision-making was influenced. METHODS:Genomic alterations were annotated to determine actionability based on a variant's known or potential functional and/or therapeutic significance. The medical records of a subset of patients annotated in 2015 were manually reviewed to assess trial enrollment. A web-based survey was implemented to capture the reasons why genotype-matched therapies were not pursued. RESULTS:PODS processed 1,669 requests for annotation of 4,084 alterations (2,254 unique) across 49 tumor types for 1,197 patients. 2,444 annotations for 669 patients included an actionable variant call: 32.5% actionable, 9.4% potentially, 29.7% unknown, 28.4% non-actionable. 66% of patients had at least one actionable/potentially actionable alteration. 20.6% (110/535) patients annotated enrolled on a genotype-matched trial. Trial enrolment was significantly higher for patients with actionable/potentially actionable alterations (92/333, 27.6%) than those with unknown (16/136, 11.8%) and non-actionable (2/66, 3%) alterations (p=0.00004). Actionable alterations in PTEN, PIK3CA, and ERBB2 most frequently led to enrollment on genotype-matched trials. Clinicians cited a variety of reasons why patients with actionable alterations did not enroll on trials. CONCLUSION:Over half of alterations annotated were of unknown significance or non-actionable. Physicians were more likely to enroll a patient on a genotype-matched trial when an annotation supported actionability. Future studies are needed to demonstrate the impact of decision support on trial enrollment and oncologic outcomes.

Dataset Information

Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling.

Background

Objective

Methods

Results

Conclusions

Publications

Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling.

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