Dataset Information

Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps.

ABSTRACT: There has been growing interest in biomarker-driven personalized cancer therapy, also known as precision medicine. Recently, dozens of molecular tests, including next generation sequencing, have been developed to detect biomarkers that have the potential to predict response of cancers to particular targeted therapies. However, detection of cancer-related biomarkers is only the first step in the battle. Deciding what therapy options to pursue can also be daunting, especially when tumors harbor more than one potentially actionable aberration. Further, different mutations/variants in a single gene may have different functional consequences, and response to targeted agents may be context dependent. However, early clinical trials with new molecular entities are increasingly conducted in a biomarker-selected fashion, and even when trials are not biomarker-selected, much effort is placed on enrolling patients onto clinical trials where they have the highest probability of response. We review available molecular tests and therapy discerning tools, including tools available for assessing functional consequences of molecular alterations and tools for finding applicable clinical trials, which exist to help bridge the gap between detection of cancer-related biomarker to the initiation of biomarker-matched targeted therapies.

SUBMITTER: Bailey AM

PROVIDER: S-EPMC4160907 | biostudies-other | 2014 Feb

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps.

Bailey Ann M AM Mao Yong Y Zeng Jia J Holla Vijaykumar V Johnson Amber A Brusco Lauren L Chen Ken K Mendelsohn John J Routbort Mark J MJ Mills Gordon B GB Meric-Bernstam Funda F

Discovery medicine 20140201 92

There has been growing interest in biomarker-driven personalized cancer therapy, also known as precision medicine. Recently, dozens of molecular tests, including next generation sequencing, have been developed to detect biomarkers that have the potential to predict response of cancers to particular targeted therapies. However, detection of cancer-related biomarkers is only the first step in the battle. Deciding what therapy options to pursue can also be daunting, especially when tumors harbor mo ...[more]

PMID: 24534473

Similar Datasets

Project description:BackgroundMeasurement of patients' healthcare experiences is increasingly used as an indicator of quality of care, but there are concerns that existing measures omit information that is meaningful to patients and that results may not be used systematically to inform service improvement. Further, current approaches may be inadequate for some population groups, such as Indigenous people in Australia, whose healthcare experience is impacted by the context of colonisation and discordance between Indigenous understandings of health and the Western biomedical health system. This study aimed to assess the extent to which existing patient experience measures used in Australia collect information about critical aspects of cancer care, as previously identified by Indigenous people affected by cancer and their health care providers.MethodsA two-stage process was used to examine the adequacy of existing patient experience measures for Indigenous people in Australia: (1) relevant tools and measures were identified and assessed, and four measures selected as suitable comparators; (2) comparators were examined in detail and mapped against topics identified in earlier research as important to Indigenous people with cancer. Gaps in topic coverage in comparators were identified.ResultsNo comparators completely captured the critical aspects of cancer care identified by Indigenous people affected by cancer and their health care providers. The number of topics 'partially' captured by the four comparators ranged from 4 to 7 out of 9. While most topics were partially covered, the lack of questions around culture and cultural safety was notable.ConclusionsExisting tools are likely to miss key aspects of Indigenous peoples' experiences of cancer care in Australia. Failure to adequately assess care experiences related to cultural safety may compromise efforts to improve health outcomes. Addressing gaps requires development of experience measures that are strengths-based, reflect an Indigenous worldview and measure aspects of experience relevant to Indigenous people.

Project description:Objective(1) To define features and data items of a Patient Recruitment System (PRS); (2) to design a generic software architecture of such a system covering the requirements; (3) to identify implementation options available within different Hospital Information System (HIS) environments; (4) to implement five PRS following the architecture and utilizing the implementation options as proof of concept.MethodsExisting PRS were reviewed and interviews with users and developers conducted. All reported PRS features were collected and prioritized according to their published success and user's request. Common feature sets were combined into software modules of a generic software architecture. Data items to process and transfer were identified for each of the modules. Each site collected implementation options available within their respective HIS environment for each module, provided a prototypical implementation based on available implementation possibilities and supported the patient recruitment of a clinical trial as a proof of concept.Results24 commonly reported and requested features of a PRS were identified, 13 of them prioritized as being mandatory. A UML version 2 based software architecture containing 5 software modules covering these features was developed. 13 data item groups processed by the modules, thus required to be available electronically, have been identified. Several implementation options could be identified for each module, most of them being available at multiple sites. Utilizing available tools, a PRS could be implemented in each of the five participating German university hospitals.ConclusionA set of required features and data items of a PRS has been described for the first time. The software architecture covers all features in a clear, well-defined way. The variety of implementation options and the prototypes show that it is possible to implement the given architecture in different HIS environments, thus enabling more sites to successfully support patient recruitment in clinical trials.

Dataset Information

Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps.

Publications

Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets