These include: (1) addition of other well-defined histological subtypes (e.g. LCC, carcinoids etc.)to capture the full histological spectra of NSCLC in classifier training, (2) increase the number and diversity of NanoString probes to capture tumors of a histological subtype with a more specific expression pattern like poorly differentiated AC tumors expressing mucin markers like CDX2 and MUC or INSM1 (novel marker with higher specificity and sensitivity for LCNEC identification)35 and (3) train the predictor to find tumors of mixed histology by including also such tumors in the training. This evidence concerns the gene MUC5AC and large cell neuroendocrine carcinoma.