[HTML][HTML] Diagnosing rejection in renal transplants: a comparison of molecular-and histopathology-based approaches
The transcriptome has considerable potential for improving biopsy diagnoses. However, to
realize this potential the relationship between the molecular phenotype of disease and
histopathology must be established. We assessed 186 consecutive clinically indicated
kidney transplant biopsies using microarrays, and built a classifier to distinguish rejection
from nonrejection using predictive analysis of microarrays (PAM). Most genes selected by
PAM were interferonγ—inducible or cytotoxic T-cell associated, for example, CXCL9 …
realize this potential the relationship between the molecular phenotype of disease and
histopathology must be established. We assessed 186 consecutive clinically indicated
kidney transplant biopsies using microarrays, and built a classifier to distinguish rejection
from nonrejection using predictive analysis of microarrays (PAM). Most genes selected by
PAM were interferonγ—inducible or cytotoxic T-cell associated, for example, CXCL9 …