Toll-like receptors (TLRs) play a crucial role in the innate immune response and the subsequent induction of adaptive immune responses against microbial infection or tissue injury. Recent findings show that functional TLRs are expressed not only on immune cells but also on cancer cells. TLRs play an active role in carcinogenesis and tumor progression during chronic inflammation that involves the tumor microenvironment. Damage-associated molecular patterns (DAMPs) derived from injured normal epithelial cells and necrotic cancer cells appear to be present at significant levels in the tumor microenvironment, and their stimulation of specific TLRs can foster chronic inflammation. This review discusses how carcinogenesis, cancer progression, and site-specific metastasis are related to interactions between cancer cells, immune cells, and DAMPs through TLR activation in the tumor microenvironment.

Background:Molecular pathways determining the malignant potential of premalignant breast lesions remain unknown. In this study, alterations in DNA methylation levels were monitored during benign, premalignant and malignant stages of ductal breast cancer development.Methods:To study epigenetic events during breast cancer development, four genomic biomarkers (Methylated-IN-Tumour (MINT)17, MINT31, RARβ2 and RASSF1A) shown to represent DNA hypermethylation in tumours were selected. Laser capture microdissection was employed to isolate DNA from breast lesions, including normal breast epithelia (n=52), ductal hyperplasia (n=23), atypical ductal hyperplasia (n=31), ductal carcinoma in situ (DCIS, n=95) and AJCC stage I invasive ductal carcinoma (IDC, n=34). Methylation Index (MI) for each biomarker was calculated based on methylated and unmethylated copy numbers measured by Absolute Quantitative Assessment Of Methylated Alleles (AQAMA). Trends in MI by developmental stage were analysed.Results:Methylation levels increased significantly during the progressive stages of breast cancer development; P-values are 0.0012, 0.0003, 0.012, <0.0001 and <0.0001 for MINT17, MINT31, RARβ2, RASSF1A and combined biomarkers, respectively. In both DCIS and IDC, hypermethylation was associated with unfavourable characteristics.Conclusion:DNA hypermethylation of selected biomarkers occurs early in breast cancer development, and may present a predictor of malignant potential.

Long interspersed element 1 (LINE-1), a non-coding genomic repeat sequence, methylation status can influence tumor progression. In this study, the clinical significance of LINE-1 methylation status was assessed in primary breast cancer in young versus old breast cancer patients. LINE-1 methylation index (MI) was assessed by absolute quantitative assessment of methylated alleles (AQAMA) PCR assay. Initially, LINE-1 MI was assessed in a preliminary study of 235 tissues representing different stages of ductal breast cancer development. Next, an independent cohort of 379 primary ductal breast cancer patients (median follow-up 18.9 years) was studied. LINE-1 hypomethylation was shown to occur in DCIS and invasive breast cancer. In primary breast cancer it was associated with pathological tumor stage (p = 0.026), lymph node metastasis (p = 0.022), and higher age at diagnosis (>55, p < 0.001). In multivariate analysis, LINE-1 hypomethylation was associated with decreased OS (HR 2.19, 95 % CI 1.17-4.09, log-rank p = 0.014), DFS (HR 2.05, 95 % CI 1.14-3.67, log-rank p = 0.016) and increased DR (HR 2.83, 95 % CI 1.53-5.21, log-rank p = 0.001) in younger (≤55 years), but not older patients (>55 years). LINE-1 analysis of primary breast cancer demonstrated cancer-related age-dependent hypomethylation. In patients ≤55 years, LINE-1 hypomethylation portends a high-risk of DR.

Tumors commonly harbor multiple genetic alterations, some of which initiate tumorigenesis. Among these, some tumorspecific somatic mutations resulting in mutated protein have the potential to induce antitumor immune responses. To examine the relevance of the latter to immune responses in the tumor and to patient outcomes, we used datasets of wholeexome and RNA sequencing from 97 clear cell renal cell carcinoma (ccRCC) patients to identify neoepitopes predicted to be presented by each patient's autologous HLA molecules. We found that the number of nonsilent or missense mutations did not correlate with patient prognosis. However, combining the number of HLA-restricted neoepitopes with the cell surface expression of HLA or b 2 -microglobulin (b 2 M) revealed that an A-neo hi /HLA-A hi or ABC-neo hi /b 2 M hi phenotype correlated with better clinical outcomes. Higher expression of immune-

Significance Both natural killer (NK) cells and γδT cells, classified as innate immune cells, recently have been shown to have features of memory cells. However, after activation, a memory fate of invariant NK T cells (iNKT cells) has not been identified. Here we show the presence of effector memory-like KLRG1 + (Killer cell lectin-like receptor subfamily G, member 1–positive) iNKT cells in the lung. The KLRG1 + iNKT cells are able to recognize and respond to an antigen in the context of CD1d and can persist for a long time and then mount a potent secondary response upon encountering with the same antigen months later. In addition, we suggest that the KLRG1 + iNKT cells could contribute extensively to immune surveillance, especially in preparation for a possible encounter with tumor diseases.

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Esophageal squamous cell carcinoma (ESCC) is one of the most fatal types of malignant tumors worldwide. Epitranscriptome, such as N6‐methyladenosine (m6A) of mRNA, is an abundant post‐transcriptional mRNA modification and has been recently implicated to play roles in several cancers, whereas the significance of m6A modifications is virtually unknown in ESCC. Analysis of tissue microarray of the tumors in 177 ESCC patients showed that higher expression of m6A demethylase ALKBH5 correlated with poor prognosis and that ALKBH5 was an independent prognostic factor of the survival of patients. There was no correlation between the other demethylase FTO and prognosis. siRNA knockdown of ALKBH5 but not FTO significantly suppressed proliferation and migration of human ESCC cells. ALKBH5 knockdown delayed progression of cell cycle and accumulated the cells to G0/G1 phase. Mechanistically, expression of CDKN1A (p21) was significantly up‐regulated in ALKBH5‐depleted cells, and m6A modification and stability of CDKN1A mRNA were increased by ALKBH5 knockdown. Furthermore, depletion of ALKBH5 substantially suppressed tumor growth of ESCC cells subcutaneously transplanted in BALB/c nude mice. Collectively, we identify ALKBH5 as the first m6A demethylase that accelerates cell cycle progression and promotes cell proliferation of ESCC cells, which is associated with poor prognosis of ESCC patients.

Both innate and adaptive immunity are crucial for cancer immunosurveillance, but precise therapeutic equations to restore immunosurveillance in patients with cancer patients have yet to be developed. In murine models, a-galactosylceramide (a-GalCer)-loaded, tumor antigen-expressing syngeneic or allogeneic cells can act as cellular adjuvants, linking the innate and adaptive immune systems. In the current study, we established human artificial adjuvant vector cells (aAVC) consisting of human HEK293 embryonic kidney cells stably transfected with the natural killer T (NKT) immune cell receptor CD1d, loaded with the CD1d ligand a-GalCer and then transfected with antigen-encoding mRNA. When administered to mice or dogs, these aAVC-activated invariant NKT (iNKT) cells elicited antigen-specific T-cell responses with no adverse events. In parallel experiments, using NOD/SCID/IL-2rgc null -immunodeficient (hDC-NOG) mouse model, we also showed that the human melanoma antigen, MART-1, expressed by mRNA transfected aAVCs can be cross-presented to antigenspecific T cells by human dendritic cells. Antigen-specific T-cell responses elicited and expanded by aAVCs were verified as functional in tumor immunity. Our results support the clinical development of aAVCs to harness innate and adaptive immunity for effective cancer immunotherapy. Cancer Res; 73(1); 62-73. Ó2012 AACR.