The world's first wiki where authorship really matters (Nature Genetics, 2008). Due credit and reputation for authors. Imagine a global collaborative knowledge base for original thoughts. Search thousands of articles and collaborate with scientists around the globe.

wikigene or wiki gene protein drug chemical gene disease author authorship tracking collaborative publishing evolutionary knowledge reputation system wiki2.0 global collaboration genes proteins drugs chemicals diseases compound
Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)
 
 
 
 
 

Marrow cytometry and prognosis in myeloma.

We have previously shown that flow cytometric analysis of acridine orange-stained bone marrow cells is useful for the objective enumeration and characterization of plasma cells from patients with myeloma, frequently exhibiting an abnormal DNA and an elevated RNA content. In this report on 77 previously untreated patients, we have investigated the biologic and prognostic implications of these quantitative tumor cell parameters. The degree of marrow involvement by tumor, both by microscopic and cytometric analysis, correlated with the clinically derived tumor mass stage. Examination of the product of relative tumor cell RNA content and marrow tumor infiltrate (as a measure of metabolic capacity for immunoglobulin production) in relationship to the myeloma protein concentration in the serum revealed differences in the efficiency of immunoglobulin production and/or catabolism. There was an inverse relationship between the degree of marrow tumor involvement and RNA index, suggesting a more aggressive behavior of myeloma in patients with a low tumor cell RNA content. Prognostically, high tumor cell RNA content identified patients with a high likelihood of response to both initial treatment (32 patients, P = 0.004) and salvage therapy (29 patients, P = 0.01). Favorable factors for survival were low clinical tumor mass stage (P = 0.07) and low marrow tumor infiltrate as determined morphologically (P = 0.04) and cytometrically (P = 0.004). Thus, the direct examination of marrow cellular DNA and RNA content permitted assessment of tumor burden and was useful in the prediction of response and survival.[1]

References

  1. Marrow cytometry and prognosis in myeloma. Barlogie, B., Alexanian, R., Gehan, E.A., Smallwood, L., Smith, T., Drewinko, B. J. Clin. Invest. (1983) [Pubmed]
 
WikiGenes - Universities