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While MYCN amplification in general predicts unfavorable outcome, no clinical or genomic factors have been identified that predict outcome within these cohorts of high-risk patients.
In this study, we sought to determine whether PB gene expression signatures could be identified that predict radiation exposure status within a population that was heterogeneous for genotype, gender and time of sampling.
Several markers have been identified that predict response to the EGFR-TKIs in NSCLC patients.
Stromal gene signatures have been identified that predict resistance to neoadjuvant chemotherapy for breast cancer [ 70].
Multiple serum biomarkers have been identified that predict vascular disease and several have been incorporated into clinical practice.
To date, there have been no serum biomarkers identified that predict an enlarged PA/A in obstructive lung disease.
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A version of a main-stream cyclone model has been identified that predicts the trend in hydrocyclone performance with liquid viscosity well, both in terms of separation efficiency and pressure drop.
HNK-1, Trk-A, H-Ras, GRP78, GRP75 and calreticulin, are biologic factors already identified that predicted a favorable outcome for NB patients associated with the differentiation or regression of NB cells at early clinical stages [9], [10].
No ICU risk factors were identified that predicted deficits in muscle strength or physical functioning.
Several factors were identified that predicted readmission (i.e., age, co-morbidities, economic disadvantage, number of previous admissions).
To our knowledge, it is the first lncRNA signature identified that predicts survival in patients with cancer.
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