“…Furthermore, results of biomarker analyses can be notoriously inconsistent, making it difficult to draw robust conclusions . Some studies might show negative or discrepant results, while the same biomarker might clearly demonstrate positive associations in other studies—for example, CCND1, cMET, p16, EGFR, and ERCC1 . Plausible reasons for such discrepancies might include (a) small sample sizes with inadequate controls; (b) differing study populations with true clinical variability; (c) differing treatment modalities; (d) variations in the biomarker assay, for example, different technological platforms used for detection and measurement; (e) differences in the biomarker source, for example, tissue vs liquid biopsy, or fresh vs fixed tissue; (f) varied antibody specificities and binding affinities among different batches or vendors; (g) biomarker instability, with a risk of false positivity or false negativity; (h) differing statistical testing methods; and (i) other methodological differences between studies, for example, evaluation of mRNA vs protein expression …”