The hope of success of therapeutic interventions largely relies on the possibility to distinguish between even close tumor types with high accuracy. Indeed, in the last ten years a major challenge to predict the responsiveness to a given therapeutic plan has been the identification of tumor specific signatures, with the aim to reduce the frequency of unwanted side effects on oncologic patients not responding to therapy. Here, we developed an in vitro evolution-based approach, named differential whole cell SELEX, to generate a panel of high affinity nucleic acid ligands for cell surface epitopes. The ligands, named aptamers, were obtained through the iterative evolution of a random pool of sequences using as target human U87MG glioma cells. The selection was designed so as to distinguish U87MG from the less malignant cell line T98G. We isolated molecules that generate unique binding patterns sufficient to unequivocally identify any of the tested human glioma cell lines analyzed and to distinguish high from low or non-tumorigenic cell lines. Five of such aptamers act as inhibitors of specific intracellular pathways thus indicating that the putative target might be important surface signaling molecules. Differential whole cell SELEX reveals an exciting strategy widely applicable to cancer cells that permits generation of highly specific ligands for cancer biomarkers.