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Majority of Landmark Cancer Studies Cannot Be Replicated

New submitter Beeftopia writes with perhaps distressing news about cancer research. From the article: "During a decade as head of global cancer research at Amgen, C. Glenn Begley identified 53 'landmark' publications — papers in top journals, from reputable labs — for his team to reproduce. Begley sought to double-check the findings before trying to build on them for drug development. Result: 47 of the 53 could not be replicated. He described his findings in a commentary piece published on Wednesday in the journal Nature (paywalled) . ... But they and others fear the phenomenon is the product of a skewed system of incentives that has academics cutting corners to further their careers." As is the fashion at Nature, you can only read the actual article if you are a subscriber or want to fork over $32. Anyone with access care to provide more insight? Update: 04/06 14:00 GMT by U L : Naffer pointed us toward informative commentary in Pipeline. Thanks!

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  1. HTFA by krakass · · Score: -1, Flamebait

    Efforts over the past decade to characterize the genetic alterations in human cancers have led to a better understanding of molecular drivers of this complex set of diseases. Although we in the cancer field hoped that this would lead to more effective drugs, historically, our ability to translate cancer research to clinical success has been remarkably low1. Sadly, clinical trials in oncology have the highest failure rate compared with other therapeutic areas. Given the high unmet need in oncology, it is understandable that barriers to clinical development may be lower than for other disease areas, and a larger number of drugs with suboptimal preclinical validation will enter oncology trials. However, this low success rate is not sustainable or acceptable, and investigators must reassess their approach to translating discovery research into greater clinical success and impact.

    Many factors are responsible for the high failure rate, notwithstanding the inherently difficult nature of this disease. Certainly, the limitations of preclinical tools such as inadequate cancer-cell-line and mouse models2 make it difficult for even the best scientists working in optimal conditions to make a discovery that will ultimately have an impact in the clinic. Issues related to clinical-trial design — such as uncontrolled phase II studies, a reliance on standard criteria for evaluating tumour response and the challenges of selecting patients prospectively — also play a significant part in the dismal success rate3.

    S. GSCHMEISSNER/SPL

    Many landmark findings in preclinical oncology research are not reproducible, in part because of inadequate cell lines and animal models.

    Unquestionably, a significant contributor to failure in oncology trials is the quality of published preclinical data. Drug development relies heavily on the literature, especially with regards to new targets and biology. Moreover, clinical endpoints in cancer are defined mainly in terms of patient survival, rather than by the intermediate endpoints seen in other disciplines (for example, cholesterol levels for statins). Thus, it takes many years before the clinical applicability of initial preclinical observations is known. The results of preclinical studies must therefore be very robust to withstand the rigours and challenges of clinical trials, stemming from the heterogeneity of both tumours and patients.

    Confirming research findings
    The scientific community assumes that the claims in a preclinical study can be taken at face value — that although there might be some errors in detail, the main message of the paper can be relied on and the data will, for the most part, stand the test of time. Unfortunately, this is not always the case. Although the issue of irreproducible data has been discussed between scientists for decades, it has recently received greater attention (see go.nature.com/q7i2up) as the costs of drug development have increased along with the number of late-stage clinical-trial failures and the demand for more effective therapies.

    Over the past decade, before pursuing a particular line of research, scientists (including C.G.B.) in the haematology and oncology department at the biotechnology firm Amgen in Thousand Oaks, California, tried to confirm published findings related to that work. Fifty-three papers were deemed 'landmark' studies (see 'Reproducibility of research findings'). It was acknowledged from the outset that some of the data might not hold up, because papers were deliberately selected that described something completely new, such as fresh approaches to targeting cancers or alternative clinical uses for existing therapeutics. Nevertheless, scientific findings were confirmed in only 6 (11%) cases. Even knowing the limitations of preclinical research, this was a shocking result.

    Table 1: Reproducibility of research findings
    Preclinical research generates many secondary publications, even when results cannot be reproduced.
    Full table
    Of course, the validation attempts may have f