Dataset Information

Modeling Adult Gliomas Using RCAS/t-va Technology.

ABSTRACT: Malignant gliomas remain the most devastating childhood and adult tumors of the central nervous system. Although adult and pediatric gliomas are histologically indistinguishable, they differ in location, behavior, and molecular characteristics. This implies that the molecular pathways and pathophysiology of malignant gliomagenesis in these two populations are distinct. Such differences between adult and pediatric gliomas may predict different therapeutic responses. Therefore, accurate genetically engineered models of adult and pediatric gliomas may help understand the biology of these tumors and evaluate therapeutic agents in preclinical studies. It has been proposed that gliomas arise from the subventricular zone in mice during development. Here, we demonstrate that, in adult mice, gliomas may arise not only when injected in the subventricular zone but also when injected in the cortex and cerebellum. Our work demonstrates a versatile and highly reproducible adult mouse model of glioma, which can be easily incorporated into preclinical studies.

SUBMITTER: Hambardzumyan D

PROVIDER: S-EPMC2670576 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

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Modeling Adult Gliomas Using RCAS/t-va Technology.

Hambardzumyan Dolores D Amankulor Nduka M NM Helmy Karim Y KY Becher Oren J OJ Holland Eric C EC

Translational oncology 20090501 2

Malignant gliomas remain the most devastating childhood and adult tumors of the central nervous system. Although adult and pediatric gliomas are histologically indistinguishable, they differ in location, behavior, and molecular characteristics. This implies that the molecular pathways and pathophysiology of malignant gliomagenesis in these two populations are distinct. Such differences between adult and pediatric gliomas may predict different therapeutic responses. Therefore, accurate geneticall ...[more]

PMID: 19412424

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Project description:BACKGROUND:Technology-based self-assessment (TB-SA) benefits patients and providers and has shown feasibility, ease of use, efficiency, and cost savings. A promising TB-SA, the VA eScreening program, has shown promise for the efficient and effective collection of mental and physical health information. To assist adoption of eScreening by healthcare providers, we assessed technology-related as well as individual- and system-level factors that might influence the implementation of eScreening in four diverse VA clinics. METHODS:This was a mixed-method, pre-post, quasi-experimental study originally designed as a quality improvement project. The clinics were selected to represent a range of environments that could potentially benefit from TB-SA and that made use of the variety eScreening functions. Because of limited resources, the implementation strategy consisted of staff education, training, and technical support as needed. Data was collected using pre- and post-implementation interviews or focus groups of leadership and clinical staff, eScreening usage data, and post-implementation surveys. Data was gathered on: 1) usability of eScreening; 2) knowledge about and acceptability and 3) facilitators and barriers to the successful implementation of eScreening. RESULTS:Overall, staff feedback about eScreening was positive. Knowledge about eScreening ranged widely between the clinics. Nearly all staff felt eScreening would fit well into their clinical setting at pre-implementation; however some felt it was a poor fit with emergent cases and older adults at post-implementation. Lack of adequate personnel support and perceived leadership support were barriers to implementation. Adequate training and technical assistance were cited as important facilitators. One clinic fully implemented eScreening, two partially implemented, and one clinic did not implement eScreening as part of normal practice after 6 months as measured by usage data and self-report. Organizational engagement survey scores were higher among clinics with full or partial implementation and low in the clinic that did not implement. CONCLUSIONS:Despite some added work load for some staff and perceived lack of leadership support, eScreening was at least partially implemented in three clinics. The technology itself posed no barriers in any of the settings. An implementation strategy that accounts for increased work burden and includes accountability may help in future eScreening implementation efforts. Note. This abstract was previously published (e.g., Annals of Behavioral Medicine 53: S1-S842, 2019).

Dataset Information

Modeling Adult Gliomas Using RCAS/t-va Technology.

Publications

Modeling Adult Gliomas Using RCAS/t-va Technology.

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