Sonia Melo, the Portuguese cheater scientist and her former US-boss Raghu Kalluri issued some days ago a biorxive preprint, which sole purpose is to defend their discredited Nature paper from 2015. There, they originally claimed to have found a unique biomarker for early pancreatic cancer, a much hailed promise to save lives of many cancer patients. However, soon it was found out that the results were not reproducible, the Nature paper Melo et al, 2015 contained evidence of data manipulation (just like other Melo publications with Kalluri and her PhD boss Manel Esteller). The antibody, on which the central evidence for the allegedly unique pancreatic cancer biomarker glypican 1 (GPC1) was based, proved to be delivering staining artefacts; the vendor Thermo Scientific soon discontinued it. Even Kalluri seemingly distanced himself from his results.

Now in their new preprint, Melo and Kalluri claimed to have perfectly reproduced their original 2015 GPC1 results with a new antibody, which however proved to be likely exactly the same as the old one, but sold by a different vendor.  As soon as this became known, the authors issued a new preprint version just two days later, featuring yet another entirely new GPC1 antibody, with an utterly new set of results to complement the 6 day older ones.  However, also these results are most likely useless. The authors namely freely admit in their preprint method description to have intentionally manipulated their flow cytometry (FACS) data to obtain a positive signal specifically where needed. It seems that one full professor and three research group leaders have absolutely no understanding about data integrity in flow cytometry (or maybe even in research in general). Obviously, they simply adjust the FACS settings for each sample in an analytic row any way it pleases them until they see a result they like. As they don’t even hide it, they seem to think this is the proper way to do science. Continue reading “Melo and Kalluri defend discredited Nature paper with preprint, where they admit data “adjustments”” →