Sentence examples for markers can predict from inspiring English sources

To evaluate the expression of cell-cycle regulators in papillary thyroid carcinoma in relation to lymph node metastatic features, and to determine whether immunohistochemical staining of cell-cycle markers can predict lymph node metastasis.

Statistical analysis showed that all five RNA-based markers can predict treatment-free survival (TFS), but only ZAP70, LPL and microRNA-29c could significantly predict overall survival (OS).

At the extreme, even in the absence of LD between markers and QTL, markers can predict family relationships between animals.

In addition, whether elevated inflammatory markers can predict the risk for diabetes independent of adiposity is not yet clear.

Cardiff and colleagues [ 6] initially proposed that tumor architecture and terminal differentiation markers can predict tumor genotype.

For the 50 patients who were in CR (n=29) or PR (n=21), we examined whether the markers can predict their times to progression.

To date no single morphologic, immuno-phenotypic or genetic marker can predict the aggressiveness of GIST [ 1].

The proportion of CD8+ T cells that express CD38+, a surrogate of activation marker, can predict the subsequent decline of the CD4+ T cell population [ 23] and was correlated with high viral load levels in HIV infected individuals [ 24].

Although the clinical, pathological, and molecular markers that can predict a response to EGFR-TKI therapy are now well-known 1, 8– 20, no studies have searched potential markers associated with early progression versus disease control under these treatments 21.

Although established markers of tumour behaviour, including tumour size and nodal status are applicable for this group of patients, tissue-based markers that can predict the risk of progression and recurrence would improve the ability to identify those who would benefit from the treatment (Bennington et al, 1992; Ernster et al, 1996; Tabar et al, 2000).

Major efforts are, belatedly, attempting to identify molecular markers that can predict patients more likely to respond to anti-EGFR therapy.