Azacitidine extends overall survival and reduces infections and admissions in patients with acute myeloid leukemia WHO defined than the conventional ancillary care: update
P. Fenaux, g. j. Mufti, e. Hellström-Lindberg, v. Santini, n. Gattermann, g. Sanz, a. f. list, s. d. Gore, j. f. Seymour, j. Backstrom, l. Zimmerman McKenzie, d., c. l. Beach l. b. Silverman
AZA (Azacitidine) as demonstrated in phase III trial (AZA-001), is the first treatment MDS prolong significantly overall survival (OS) in high risk patients (pts) MDS (Blood 2007; 110: 817).About one third of pts AZA-001 subscribers were FAB RAEB-T (= 20%-30% blasts) and now meet the criteria of WHO for acute myeloid leukemia (AML) (Blood 1999; 17: 3835) recital prognosis (median survival
Volume: 2 article number: 121 DOI: 10.3332/ecancer. 2008.121 received: 01/11/2008 published: 10/12/2008
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Comparative analysis of survival of breast cancer microarray study identifies important predictive genetic journey
About 12% of women in the United States will develop breast cancer in their lifetime. Despite the fact that there have been advances in treatment, including therapy and chemotherapy, breast cancer remains the second most deadly types of cancer in women. Thus, there is a clear need for improved prediction of prognosis of breast cancer for every patient. With the advent of large genetic databases and reduce costs for experiments researchers are faced with choices from a large number of potential prognostic markers of breast Cancer gene expression numerous profile study.
Five microarray data sets associated with breast cancer were examined using a set of gene analysis and crayfish have been grouped under different subtypes, using a scoring system based on genetic path.
We note that significant genes in separate studies show a little reproducibility between datasets.From our comparative analysis using gene pathways clinical variables is more reliable and promising research to assess patient prognosis.
The study concluded that in light of clinical variables, there are significant gene pathways between datasets in particular several paths you can considerably further stratify patients survival. Pathways to help develop these candidates has a large group of biomarkers for prognosis of breast cancer patients in the clinical setting.