AdipoR1/R2 Signaling Induces Tumor Tolerance

Immune escape is a fundamental trait of cancer. Dendritic cells (DC) that interact with T cells represent a crucial site for the development of tolerance to tumor antigens, but there remains incomplete knowledge about how DC-tolerizing signals evolve during tumorigenesis. In this study, we show that DCs isolated from patients with metastatic or locally advanced breast cancer express high levels of the adiponectin receptors AdipoR1 and AdipoR2, which are sufficient to blunt antitumor immunity. Mechanistic investigations of ligand–receptor interactions on DCs revealed novel signaling pathways for each receptor. AdipoR1 stimulated IL10 production by activating the AMPK and MAPKp38 pathways, whereas AdipoR2 modified inflammatory processes by activating the COX-2 and PPARγ pathways. Stimulation of these pathways was sufficient to block activation of NF-κB in DC, thereby attenuating their ability to stimulate antigen-specific T-cell responses. Together, our findings reveal novel insights into how DC-tolerizing signals evolve in cancer to promote immune escape. Furthermore, by defining a critical role for adiponectin signaling in this process, our work suggests new and broadly applicable strategies for immunometabolic therapy in patients with cancer. Cancer Res; 74(20); 1–12. ©2014 AACR.

DEAR1 as a Negative Regulator of EMT

Elucidation of the regulatory controls on epithelial plasticity is pivotal not only to better understand the nature of metastasis but also for the design of targeted therapies to prevent the earliest steps in migration and invasion from the primary tumor. This review will highlight the role of the novel TRIM protein DEAR1 (annotated as TRIM62) in the regulation of apical–basal polarity and acinar morphogenesis as well as its function as a chromosome 1p35 tumor suppressor and negative regulator of TGFβ-driven epithelial–mesenchymal transition (EMT). DEAR1 binds to and promotes the ubiquitination of SMAD3, the major effector of TGFβ-mediated EMT, as well as downregulates SMAD3 targets SNAIL1/2, master transcriptional regulators of EMT. Cumulative results suggest a novel paradigm for DEAR1 in the regulation of the breast tumor microenvironment, polarity, and EMT. Because DEAR1 undergoes loss-of-function mutations, homozygous deletion, as well as copy-number losses in multiple epithelial cancers, including breast cancer, DEAR1 has clinical use as a predictive and prognostic biomarker as well as for stratifying breast cancers and potentially other epithelial tumor types for targeted therapies aimed at the pathways regulated by DEAR1. Cancer Res; 74(20); 1–7. ©2014 AACR.

Exosome miRNAs in Bladder Cancer Metastasis

Exosomes are small secreted vesicles that can transfer their content to recipient cells. In cancer, exosome secretion has been implicated in tumor growth and metastatic spread. In this study, we explored the possibility that exosomal pathways might discard tumor-suppressor miRNA that restricts metastatic progression. Secreted miRNA characterized from isogenic bladder carcinoma cell lines with differing metastatic potential were uncoupled from binding to target transcripts or the AGO2–miRISC complex. In metastatic cells, we observed a relative increase in secretion of miRNA with tumor-suppressor functions, including miR23b, miR224, and miR921. Ectopic expression of miR23b inhibited invasion, anoikis, angiogenesis, and pulmonary metastasis. Silencing of the exocytotic RAB family members RAB27A or RAB27B halted miR23b and miR921 secretion and reduced cellular invasion. Clinically, elevated levels of RAB27B expression were linked to poor prognosis in two independent cohorts of patients with bladder cancer. Moreover, highly exocytosed miRNA from metastatic cells, such as miR23b, were reduced in lymph node metastases compared with patient-matched primary tumors and were correlated with increments in miRNA-targeted RNA. Taken together, our results suggested that exosome-mediated secretion of tumor-suppressor miRNA is selected during tumor progression as a mechanism to coordinate activation of a metastatic cascade. Cancer Res; 74(20); 1–14. ©2014 AACR.

Discrepancies in Cancer Genomic Sequencing

Cancer genome sequencing is being used at an increasing rate to identify actionable driver mutations that can inform therapeutic intervention strategies. A comparison of two of the most prominent cancer genome sequencing databases from different institutes (Cancer Cell Line Encyclopedia and Catalogue of Somatic Mutations in Cancer) revealed marked discrepancies in the detection of missense mutations in identical cell lines (57.38% conformity). The main reason for this discrepancy is inadequate sequencing of GC-rich areas of the exome. We have therefore mapped over 400 regions of consistent inadequate sequencing (cold-spots) in known cancer-causing genes and kinases in 368, of which neither institute finds mutations. We demonstrate, using a newly identified PAK4 mutation as proof of principle, that specific targeting and sequencing of these GC-rich cold-spot regions can lead to the identification of novel driver mutations in known tumor suppressors and oncogenes. We highlight that cross-referencing between genomic databases is required to comprehensively assess genomic alterations in commonly used cell lines and that there are still significant opportunities to identify novel drivers of tumorigenesis in poorly sequenced areas of the exome. Finally, we assess other reasons for the observed discrepancy, such as variations in dbSNP filtering and the acquisition/loss of mutations, to give explanations as to why there is a discrepancy in pharmacogenomic studies, given recent concerns with poor reproducibility of data. Cancer Res; 74(22); 1–7. ©2014 AACR.

Discrepancies in Cancer Genomic Sequencing Highlight Opportunities for Driver Mutation Discovery

Cancer genome sequencing is being employed at an increasing rate to identify actionable driver mutations that can inform therapeutic intervention strategies. A comparison of two of the most prominent cancer genome sequencing databases from different institutes (CCLE and COSMIC) revealed marked discrepancies in the detection of missense mutations in identical cell lines (57.38% conformity). The main reason for this discrepancy is inadequate sequencing of GC-rich areas of the exome. We have therefore mapped over 400 regions of consistent inadequate sequencing (cold-spots) in known cancer-causing genes and kinases in which neither institute find mutations. We demonstrate, using a newly identified PAK4 mutation as proof of principle, that specific targeting and sequencing of these GC-rich cold-spot regions can lead to the identification of novel driver mutations in known tumor suppressors and oncogenes. We highlight that cross-referencing between genomic databases is required to comprehensively assess genomic alterations in commonly used cell lines and that there are still significant opportunities to identify novel drivers of tumorigenesis in poorly sequenced areas of the exome. Finally we assess other reasons for the observed discrepancy, such as variations in dbSNP filtering and the acquisition/loss of mutations, to give explanations as to why there is discrepancy in pharmacogenomic studies given recent concerns with poor reproducibility of data.