Lymphocyte activation gene-3 (LAG-3) is a cell-surface molecule with diverse biologic effects on T cell function. We recently showed that LAG-3 signaling is important in CD4 + regulatory T cell suppression of autoimmune responses. Here, we demonstrate that LAG-3 maintains tolerance to self and tumor antigens via direct effects on CD8 + T cells using 2 murine systems. Naive CD8 + T cells express low levels of LAG-3, and expression increases upon antigen stimulation. Our data show increased levels of LAG-3 protein on antigen-specific CD8 + T cells within antigen-expressing organs or tumors. In vivo antibody blockade of LAG-3 or genetic ablation of the Lag-3 gene resulted in increased accumulation and effector function of antigen-specific CD8 + T cells within organs and tumors that express their cognate antigen. Most notably, combining LAG-3 blockade with specific antitumor vaccination resulted in a significant increase in activated CD8 + T cells in the tumor and disruption of the tumor parenchyma. A major component of this effect was CD4 independent and required LAG-3 expression by CD8 + T cells. Taken together, these data demonstrate a direct role for LAG-3 on CD8 + T cells and suggest that LAG-3 blockade may be a potential cancer treatment.

A multistep model for pancreatic adenocarcinoma has been proposed recently. In this model, well-defined, noninvasive ductal lesions are recognized as precursors of invasive cancer and have been classified under the nomenclature of pancreatic intraepithelial neoplasia, or PanIN. Increasing evidence suggests that PanINs represent true neoplasms of the pancreatic ductal epithelium, accumulating histologic and genetic abnormalities in their progression toward invasive cancer. We have constructed a tissue microarray containing 55 PanIN lesions of all histologic grades in order to perform a multicomponent analysis of the pancreatic adenocarcinoma progression model. The protein products of 14 genes encompassing a variety of functional classes, such as tumor suppressor genes (p53, Smad4/Dpc4), oncogenes (beta-catenin), cell cycle antigens (p16, cyclin D1), proliferation antigens (Ki-67, topoisomerase II alpha), and epithelial apomucins (MUC1, MUC2, MUC5), as well as "novel" genes described as differentially up-regulated in invasive pancreas cancer by global microarray expression analysis (mesothelin, prostate stem cell antigen, fascin, and 14-3-3varsigma), were analyzed by immunohistochemistry on the PanIN tissue microarray. Comparison of the results from the current study with previously published data performed on routine histologic sections of PanINs demonstrates that tissue microarrays are a valid platform for molecular analysis not only of invasive cancers but of precursor lesions as well. In addition, this study demonstrates that molecular abnormalities in PanINs are not random but can usually be stratified into "early" changes (e.g., expression of MUC5 and prostate stem antigen, or loss of p16), "intermediate" changes (e.g., expression of cyclin D1), and "late" changes (e.g., expression of p53, proliferation antigens, MUC1, mesothelin, and 14-3-3varsigma, or loss of Smad4/Dpc4). Understanding the molecular pathogenesis of precursor lesions of invasive pancreatic adenocarcinomas using a high-throughput tissue microarray-based approach is a valuable adjunct to designing rational strategies for early detection of this lethal neoplasm.

Although prostate cancer is the most common non-cutaneous malignancy diagnosed in men in the United States, little is known about inherited factors that influence its genetic predisposition. Here we report that germline mutations in the gene encoding 2'-5'-oligoadenylate(2-5A)-dependent RNase L (RNASEL) segregate in prostate cancer families that show linkage to the HPC1 (hereditary prostate cancer 1) region at 1q24-25 (ref. 9). We identified RNASEL by a positional cloning/candidate gene method, and show that a nonsense mutation and a mutation in an initiation codon of RNASEL segregate independently in two HPC1-linked families. Inactive RNASEL alleles are present at a low frequency in the general population. RNASEL regulates cell proliferation and apoptosis through the interferon-regulated 2-5A pathway and has been suggested to be a candidate tumor suppressor gene. We found that microdissected tumors with a germline mutation showed loss of heterozygosity and loss of RNase L protein, and that RNASEL activity was reduced in lymphoblasts from heterozyogous individuals compared with family members who were homozygous with respect to the wildtype allele. Thus, germline mutations in RNASEL may be of diagnostic value, and the 2-5A pathway might provide opportunities for developing therapies for those with prostate cancer.

Crucial transitions in cancer-including tumor initiation, local expansion, metastasis, and therapeutic resistance-involve complex interactions between cells within the dynamic tumor ecosystem. Transformative single-cell genomics technologies and spatial multiplex in situ methods now provide an opportunity to interrogate this complexity at unprecedented resolution. The Human Tumor Atlas Network (HTAN), part of the National Cancer Institute (NCI) Cancer Moonshot Initiative, will establish a clinical, experimental, computational, and organizational framework to generate informative and accessible three-dimensional atlases of cancer transitions for a diverse set of tumor types. This effort complements both ongoing efforts to map healthy organs and previous largescale cancer genomics approaches focused on bulk sequencing at a single point in time. Generating single-cell, multiparametric, longitudinal atlases and integrating them with clinical outcomes should help identify novel predictive biomarkers and features as well as therapeutically relevant cell types, cell states, and cellular interactions across transitions. The resulting tumor atlases should have a profound impact on our understanding of cancer biology and have the potential to improve cancer detection, prevention, and therapeutic discovery for better precision-medicine treatments of cancer patients and those at risk for cancer.Cancer forms and progresses through a series of critical transitions-from pre-malignant to malignant states, from locally contained to metastatic disease, and from treatment-responsive to treatment-resistant tumors (Figure 1). Although specifics differ across tumor types and patients, all transitions involve complex dynamic interactions between diverse pre-malignant, malignant, and non-malignant cells (e.g., stroma cells and immune cells), often organized in specific patterns within the tumor