Sentence examples for molecular classification to from inspiring English sources

More recently, Cristescu and coworkers [ 19] developed another molecular classification to provide novel translational relevant information.

Additionally, explains why many studies were unable to reliably associate molecular classification to Dukes stages [ 11, 12, 14, 17].

Alongside these therapies, the advent of personalized medicine raises the possibility of using molecular classification to subdivide NPC and EBVaGC and thereby improve patient management and outcomes.

This study applied the molecular classification to a series of canine mammary carcinomas, using a panel of antibodies apt to demonstrate a role in prognosis and identification of molecular groups similar to human breast cancer.

Therefore, errors relating to tissue sampling bias, tumour progression, and the unpredictable clinical behavior of uveal melanoma with delayed development of metastases as a result of tumour dormancy, support the need for longer term follow up data of the molecular classification to further validate its accuracy and reliability.

We designed this study to analyze different expression levels of MMPs and TIMPs in breast carcinoma with respect to immunohistochemical-based molecular classification and to determine their relationship to other clinical-pathological factors.

More specifically, it demonstrates the importance of developing better methods of detection or prevention of papillary RCC among black Americans to be developed, and for improved methods of subtype determination to be put forward, potentially including molecular classification schemes, to ensure that patients receive optimal care.

It may be hypothesized that a molecular classification, similar to that used for some malignancies, may provide insights into pathogenesis and, thus, to susceptibility to individualized therapeutic approaches [ 18].

Furthermore, our molecular classification allows to additionally refine the staging and grading of tumors.

If molecular classification is to replace the morphologic classification of tumors, several seemingly intractable problems must be solved.

Molecular classification according to gene expression profiles determined by oligonucleotide-microarrays (Oberthuer et al, 2006) separated the cohort into 82 high-risk and 169 low-risk patients.