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The AACR remains fully committed to supporting publishing operations throughout this challenging time, while still remaining flexible and supportive of the author, reviewer, and editor communities that we serve. If you have any questions or concerns, please reach out to a member of the AACR publishing staff.

 

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From the Current Issue

  • Long-Term Gemcitabine Treatment Reshapes the Pancreatic Tumor Microenvironment and Sensitizes Murine Carcinoma to Combination Immunotherapy
    Tumor Biology and Immunology | AuthorChoice
    Long-Term Gemcitabine Treatment Reshapes the Pancreatic Tumor Microenvironment and Sensitizes Murine Carcinoma to Combination Immunotherapy
    Daniel R. Principe, Matthew Narbutis, Sandeep Kumar, Alex Park, Navin Viswakarma, Matthew J. Dorman, Suneel D. Kamath, Paul J. Grippo, Melissa L. Fishel, Rosa F. Hwang, Dinesh Thummuri, Patrick W. Underwood, Hidayatullah G. Munshi, Jose G. Trevino and Ajay Rana
    Cancer Res August 1 2020 80 (15) 3101-3115; DOI:10.1158/0008-5472.CAN-19-2959

    These data suggest that long-term treatment with gemcitabine leads to extensive reprogramming of the pancreatic tumor microenvironment and that patients who progress on gemcitabine-based regimens may benefit from multidrug immunotherapy.

  • State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia
    Convergence and Technologies | AuthorChoice
    State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia
    Russell C. Rockne, Sergio Branciamore, Jing Qi, David E. Frankhouser, Denis O'Meally, Wei-Kai Hua, Guerry Cook, Emily Carnahan, Lianjun Zhang, Ayelet Marom, Herman Wu, Davide Maestrini, Xiwei Wu, Yate-Ching Yuan, Zheng Liu, Leo D. Wang, Stephen Forman, Nadia Carlesso, Ya-Huei Kuo and Guido Marcucci
    Cancer Res August 1 2020 80 (15) 3157-3169; DOI:10.1158/0008-5472.CAN-20-0354

    These findings apply the theory of state transitions to model the initiation and development of acute myeloid leukemia, identifying transcriptomic perturbations that accurately predict time to disease development.

See the Table of Contents

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