Colorectal cancers with microsatellite instability (MSI-CRCs) represent 15% of all CRCs, including Lynch syndrome as the most frequent hereditary form of this disease. Notably, MSI-CRCs have a higher density of tumor-infiltrating lymphocytes (TILs) than other CRCs. This feature is thought to reflect the accumulation of frameshift mutations in sequences that are repeated within gene coding regions, thereby leading to the synthesis of neoantigens recognized by CD8+ T cells. However, there has yet to be a clear link established between CD8+ TIL density and frameshift mutations in MSI-CRCs. In this study, we examined this link in 103 MSI-CRCs from two independent tumor cohorts where frameshift mutations in 19 genes were analyzed and CD3+, CD8+ and FOXP3+ TIL densities were quantitated. We found that CD8+ TIL density correlated positively with the total number of frameshift mutations. TIL densities increased when frameshift mutations were present within the ASTE1, HNF1A or TCF7L2 gene, increasing even further when at least one of these frameshift mutations was present in all tumor cells. Through in vitro assays using engineered antigen-presenting cells, we were able to stimulate peripheral cytotoxic T cells obtained from CRC patients with peptides derived from frameshift mutations found in their tumors. Taken together, our results highlight the importance of a CD8+ T cell immune response against MSI-CRC-specific neoantigens, establishing a preclinical rationale to target them as a personalized cellular immunotherapy strategy, an especially appealing goal for patients with Lynch syndrome.

Dysregulation of the epidermal growth factor receptor (EGFR) signaling axis enhances bone metastases in many solid cancers. However, the relevant downstream effector signals in this axis are unclear. miR-1 was recently shown to function as a tumor suppressor in prostate cancer cells, where its expression correlated with reduced metastatic potential. In this study, we demonstrated a role for EGFR translocation in regulating transcription of miR-1-1, which directly targets expression of TWIST1. Consistent with these findings, we observed decreased miR-1 levels which correlated with enhanced expression of activated EGFR and TWIST1 in a cohort of human prostate cancer specimens and additional datasets. Our findings support a model in which nuclear EGFR acts as a transcriptional repressor to constrain the tumor-suppressive role of miR-1 and sustain oncogenic activation of TWIST1, thereby leading to accelerated bone metastasis.

Cancer produces a variety of collateral effects in patients beyond the malignancy itself, including threats to distal organ functions. However, the basis for such effects, associated with either primary or metastatic tumors, are generally poorly understood. In this study, we show how heart and kidney vascular function is impaired by neutrophils that accumulate in those tissues as a result of tumor formation in two different transgenic mouse models of cancer (RIP1-Tag2 model of insulinoma and MMTV-PyMT model of breast cancer). Neutrophil depletion by systemic administration of an anti-Gr1 antibody improved vascular perfusion and prevented vascular leakage in kidney vessels. We also observed the accumulation of platelet–neutrophil complexes, a signature of neutrophil extracellular traps (NET), in the kidneys of tumor-bearing mice that were completely absent from healthy nontumor-bearing littermates. NET accumulation in the vasculature was associated with upregulation of the proinflammatory adhesion molecules ICAM-1, VCAM-1, and E-selectin, as well as the proinflammatory cytokines IL1β, IL6, and the chemokine CXCL1. Administering DNase I to dissolve NETs, which have a high DNA content, restored perfusion in the kidney and heart to levels seen in nontumor-bearing mice, and also prevented vessel leakage in the blood vasculature of these organs. Taken together, our findings strongly suggest that NETs mediate the negative collateral effects of tumors on distal organs, acting to impair vascular function, and to heighten inflammation at these sites. Cancer Res; 75(13); 1–10. ©2015 AACR.

The microRNA (miRNA) landscape changes during the progression of cancer. We defined a metastasis-associated miRNA landscape using a systematic approach. We profiled and validated miRNA and mRNA expression in a unique series of human colorectal metastasis tissues together with their matched primary tumors and corresponding normal tissues. We identified an exclusive miRNA signature that is differentially expressed in metastases. Three of these miRNAs were identified as key drivers of an EMT-regulating network acting though a number of novel targets. These targets include SIAH1, SETD2, ZEB2, and especially FOXN3, which we demonstrated for the first time as a direct transcriptional suppressor of N-cadherin. The modulation of N-cadherin expression had significant impact on migration, invasion, and metastasis in two different in vivo models. The significant deregulation of the miRNAs defining the network was confirmed in an independent patient set as well as in a database of diverse malignancies derived from more than 6,000 patients. Our data define a novel metastasis-orchestrating network based on systematic hypothesis generation from metastasis tissues. Cancer Res; 75(15); 1–10. ©2015 AACR.

The microRNA landscape changes during the progression of cancer. We defined a metastasis-associated microRNA landscape using a systematic approach. We profiled and validated microRNA and mRNA expression in a unique series of human colorectal metastasis tissues together with their matched primary tumors and corresponding normal tissues. We identified an exclusive miRNA-signature that is differentially expressed in metastases. Three of these miRNAs were identified as key drivers of an EMT-regulating network acting though a number of novel targets. These targets include SIAH1, SETD2, ZEB2, and especially FOXN3, which we demonstrated for the first time as a direct transcriptional suppressor of N-cadherin. The modulation of N-cadherin expression had significant impact on migration, invasion, and metastasis in two different in vivo models. The significant deregulation of the microRNAs defined the network was confirmed in an independent patient set as well as in a database of diverse malignancies derived from more than 6000 patients. Our data defines a novel metastasis-orchestrating network based on systematic hypothesis generation from metastasis tissues.