Oncolytic virotherapy is a promising form of gene therapy for cancer, employing nature's own agents to find and destroy malignant cells. The purpose of this review is to provide an introduction to this very topical field of research and to point out some of the current observations, insights and ideas circulating in the literature. We have strived to acknowledge as many different oncolytic viruses as possible to give a broader picture of targeting cancer using viruses. Some of the newest additions to the panel of oncolytic viruses include the avian adenovirus, foamy virus, myxoma virus, yaba-like disease virus, echovirus type 1, bovine herpesvirus 4, Saimiri virus, feline panleukopenia virus, Sendai virus and the non-human coronaviruses. Although promising, virotherapy still faces many obstacles that need to be addressed, including the emergence of virus-resistant tumor cells.

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SummaryKnowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity data resources are often incomparable due to non-standardized and heterogeneous assay types and variability in endpoint measurements. To extract higher value from the existing and future compound target-profiling data, we implemented an open-data web platform, named Drug Target Commons (DTC), which features tools for crowd-sourced compound-target bioactivity data annotation, standardization, curation, and intra-resource integration. We demonstrate the unique value of DTC with several examples related to both drug discovery and drug repurposing applications and invite researchers to join this community effort to increase the reuse and extension of compound bioactivity data.

Highlights d Molecular subtypes and genetics shape immune landscape in hematological malignancies d Cytotoxic T/NK cell infiltration in MDS-like AML with TP53 mutations and ABC DLBCL d Methylation changes suppress HLA genes in AML and induce cancer antigens in myeloma d Cancer type-specific targets such as VISTA in myeloid and CD70 in lymphoid cancers

Oncolytic viruses (OVs) are promising anticancer agents but like other cancer monotherapies, the genetic heterogeneity of human malignancies can lead to treatment resistance. We used a virus/cell-based assay to screen diverse chemical libraries to identify small molecules that could act in synergy with OVs to destroy tumor cells that resist viral infection. Several molecules were identified that aid in viral oncolysis, enhancing virus replication and spread as much as 1,000-fold in tumor cells. One of these molecules we named virus-sensitizers 1 (VSe1), was found to target tumor innate immune response and could enhance OV efficacy in animal tumor models and within primary human tumor explants while remaining benign to normal tissues. We believe this is the first example of a virus/cell-based "pharmacoviral" screen aimed to identify small molecules that modulate cellular response to virus infection and enhance oncolytic virotherapy.

Oncolytic viruses have gained attention as a novel form of cancer treatment.

Adoptive T-cell transfer is a promising treatment approach for metastatic cancer, but efficacy in solid tumors has only been achieved with toxic pre- and postconditioning regimens. Thus, adoptive T-cell therapies would benefit from complementary modalities that enable their full potential without excessive toxicity. We aimed to improve the efficacy and safety of adoptive T-cell transfer by using adenoviral vectors for direct delivery of immunomodulatory murine cytokines into B16.OVA melanoma tumors with concomitant T-cell receptor transgenic OT-I T-cell transfer. Armed adenoviruses expressed high local and low systemic levels of cytokine when injected into B16.OVA tumors, suggesting safety of virus-mediated cytokine delivery. Antitumor efficacy was significantly enhanced with adenoviruses coding for murine interleukin-2 (mIL-2) and tumor necrosis factor-α (mTNFα) when compared with T-cell transfer alone or viruses alone. Further improvement in efficacy was achieved with a triple combination of mIL-2, mTNFα, and OT-I T-cells. Mechanistic studies suggest that mIL-2 has an important role in activating T-cells at the tumor, while mTNFα induces chemokine expression. Furthermore, adenovirus treatments enhanced tumor-infiltration of OT-I T-cells as demonstrated by SPECT/CT imaging of (111)In-labeled cells. Our results suggest the utility of cytokine-coding adenoviruses for improving the efficacy of adoptive T-cell therapies.

We report the immunogenomic landscape of >10,000 hematological malignancies by integrating large-scale genomic, epigenomic, and transcriptomic datasets in this article. During its preparation, we submitted an incorrect version of Figure 1A, in which the numbers of the cases in the Hemap dataset were incorrect (1,288 and 4,293 lymphoma and leukemia samples, respectively; the correct numbers are 1,300 and 4,281). Similarly, in Figure S1A, the number of cell lines in CCLE dataset was incorrect (CHL n = 9 changed to n = 8, and unknown n = 7 is now included). The number of cases reported in the first paragraph of the Results section has also been corrected to reflect these revisions (''We used 7,092 samples from 36 hematological malignancies, with 770 healthy donor hematological cell populations and 610 cell lines as controls [Pö lö nen et al., 2019], to comprehensively analyze immunological properties in hematological cancer transcriptomes [Figures 1A and S1A; Table S1]''). These errors do not affect any of the data or conclusions in the article, and the figures have been revised in the online and printed versions of the paper, which differ from the version originally published online on July 9, 2020. We apologize for any confusion these errors may have caused.