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These results provide robust evidence to inform shared treatment decision making between clinicians and patients, including information on duration of treatment, response rates, adverse effect profiles, and likelihood of recurrence.
Profiles of recurrence outcome were derived from two independent datasets and validated by a third dataset.
Within each stage, gene expression profiles can identify patients with a higher risk of recurrence.
Patients are categorized as low, intermediate or high risk of recurrence according to their clinical, cytological and cytogenetic profiles[ 24 31].
Gene expression profiling has also been reported to be useful in identifying tumors with increased risk of recurrence [ 25- 27].
Pearson's correlation coefficient between gene expression profiles of recurrences of the same tumour ranged between 0.4191 and 0.8303 (median: 0.5492).
Our goal was to find specific profiles predictive of recurrence-free survival using an initial candidate approach on a training set, with confirmation on a validation cohort.
These observations permitted an association of gut microbial profiles with probability of recurrence in this limited single-center study.
Potti et al. identified gene expression profiles predicting the risk of recurrence in a cohort of 198 NSCLC patients, among them 89 LACs [ 25].
To date miR-190b just appears in one study using global microRNA expression profiling to identify markers of recurrence in ER+ patients receiving tamoxifen [ 45].
However, the changes in expression profile at recurrence were linked to some extent with the location of the initial tumor.
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