7,638 results found
    1. Cancer Biology

    Replication Study: Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET

    Jeewon Kim et al.
    Editors' Summary: This Replication Study has reproduced some parts of the original paper but other parts could not be interpreted.
    1. Cancer Biology

    Science Forum: An open investigation of the reproducibility of cancer biology research

    Timothy M Errington et al.
    The Reproducibility Project: Cancer Biology will generate a high-quality dataset to explore questions about the reproducibility of research, and will make all data, analysis and other research materials openly available to the research community.
    1. Cancer Biology

    Replication Study: Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma

    John Repass, Reproducibility Project: Cancer Biology
    Editors' Summary: This Replication Study did not reproduce those experiments in the original paper that it attempted to reproduce.
    1. Cancer Biology

    Replication Study: The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors

    Stephen K Horrigan, Reproducibility Project: Cancer Biology
    Editors' Summary: The results in this Replication Study could not be interpreted.
    1. Cancer Biology

    Replication Study: Wnt activity defines colon cancer stem cells and is regulated by the microenvironment

    Anthony Essex et al.
    Editors' Summary: This Replication Study has reproduced important parts of the original paper.
    1. Cancer Biology

    Replication Study: Biomechanical remodeling of the microenvironment by stromal caveolin-1 favors tumor invasion and metastasis

    Mee Rie Sheen et al.
    Editors' Summary: This Replication Study has reproduced some parts of the original paper but other parts could not be interpreted.
    1. Cancer Biology

    Replication Study: Intestinal inflammation targets cancer-inducing activity of the microbiota

    Kathryn Eaton et al.
    Editors' Summary: This Replication Study has reproduced some parts of the original paper but it also contains results that are not consistent with other parts of the original paper.
    1. Cell Biology
    2. Computational and Systems Biology

    Perturbation biology nominates upstream–downstream drug combinations in RAF inhibitor resistant melanoma cells

    Anil Korkut et al.
    Data-driven systems biology models of signaling predict cellular response to untested perturbations and can nominate drug combinations to overcome drug resistance in cancer cells.

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