Cancer researchers require accurate diagnoses for the samples, cell lines, patients or populations that they study. These diagnoses are underpinned by an internationally accepted taxonomy – the World Health Organization Classification of Tumours. This is still largely based on the histopathological examination of biopsy specimens, but increasingly also molecular methods and radiological examination of patients. Classifications evolve as new evidence arises, and for tumours that evidence is available in a quantity that is both remarkable and daunting. Evaluating this deluge of new information and incorporating it into the World Health Organization Classification of Tumours is now the responsibility of an editorial board, and up to 200 editors and authors work on each system to update it within the new 5th edition. Just as cancer researchers depend on the classification for diagnoses, so too the classification depends on the generation of high-quality, trustworthy data by cancer researchers. It is not just a case of quantity but quality too. Scientific fraud is thankfully rare, but high-profile cases are damaging and standards need to improve, not least to ensure that accurate information enters the classification.
Performance of Ventana SP263 PD-L1 assay in endobronchial ultrasound guided-fine-needle aspiration derived non-small-cell lung carcinoma samples.
November 5, 2020
Circ_0038467 regulates lipopolysaccharide-induced inflammatory injury in human bronchial epithelial cells through sponging miR-338-3p.
March 18, 2020
Tfr-Tfh index: a new predicator for recurrence of hepatocellular carcinoma patients with HBV infection after curative resection.
October 22, 2020
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- AACR-2020The American Association for Cancer Research is the world's oldest and largest professional association related to cancer research.
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