| 2. |
- Mertens, Fredrik, et al.
(författare)
-
Prognostic significance of chromosome aberrations in high-grade soft tissue sarcomas
- 2006
-
Ingår i: Journal of Clinical Oncology. - 1527-7755. ; 24:2, s. 315-320
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose To investigate whether previously observed correlations between tumor karyotype and risk of metastases could be reproduced in an independent set of high-grade soft tissue sarcomas (STSs). Patients and Methods In a previous study on high-grade STSs with clonal chromosome aberrations, we identified a number of cytogenetic variables, besides tumor grade and size, that were associated with significantly increased risk of metastases. In the present study, we have tested the predictive value of these cytogenetic variables in a new set of 156 high-grade STSs, all located in the extremities or trunk wall. Results Of the 10 cytogenetic variables that turned out to provide prognostic information in the previous series, encompassing 122 trunk wall or extremity STSs, three were significantly associated with metastases also in the new series. In a final Cox regression analysis including these three cytogenetic variables, as well as tumor grade and size, on the combined series of 278 high-grade STSs, four parameters were found to be significantly associated with metastasis risk: tumor grade 3, tumor size >= 5 cm, breakpoint in region 1p1, and gain of region 6p1. Conclusion Our findings suggest that independent prognostic information may be gained from cytogenetic analysis of high-grade STS.
|
|
| 3. |
- Strömberg, Ulf, et al.
(författare)
-
Selection of Influential Genetic Markers Among a Large Number of Candidates Based on Effect Estimation Rather than Hypothesis Testing: An Approach for Genome-Wide Association Studies.
- 2008
-
Ingår i: Epidemiology. - 1531-5487. ; 19, s. 302-308
-
Tidskriftsartikel (refereegranskat)abstract
- In epidemiologic studies on direct genetic associations, hypothesis testing is primarily considered for evaluating the effects of each candidate genetic marker, eg, single nucleotide polymorphisms. To help investigators protect themselves from over-interpreting statistically significant findings that are not likely to signify a true effect-a problem connected to multiple comparisons-consideration of the false-positive report probability has been proposed. There have also been arguments advocating estimation of effect size rather than hypothesis testing (P value). Here, we propose an estimation-based approach that offers an attractive alternative to the test-based false-positive report probability, when the task is to select promising genetic markers for further analyses. We discuss the potential of this estimation-based approach for genome-wide association studies.
|
|
