ABSTRACT:Axillary lymph node metastasis in colon cancer is extremely rare. We describe the FDG PET/CT findings in a 61-year-old woman who presented with a mass in the right axilla, which revealed irregular thickening of the ascending colon wall, as well as multiple enlarged lymph nodes in the ileocecal mesentery, para-aortic region, and right axilla with higher uptake of FDG. Ascending colon carcinoma with lymph node metastasis in the right axilla was confirmed by pathological examination.

BACKGROUND:Growing evidence has supported that long non-coding RNAs (lncRNAs) could play vital roles in the development, progression, and prognosis of colorectal cancer (CRC). However, little is known about the clinical significance of BRAF-activated non-coding RNA (BANCR) in CRC. The aim of this study is to explore the clinical value of lncRNA BANCR in CRC patients. METHODS:The expression of lncRNA BANCR was measured in 106 CRC tissues and 65 adjacent normal tissues using the quantitative real-time PCR. RESULTS:The study showed that lncRNA BANCR was highly expressed in CRC tissues compared with adjacent normal tissues (P < 0.001). In addition, high expression of lncRNA BANCR was positively correlated with the lymph node metastasis (P < 0.001). Kaplan-Meier analysis showed that patients with high lncRNA BANCR expression had a shorter overall survival (OS) compared with the low lncRNA BANCR expression group (P = 0.001). Interestingly, for the group of patients with the lymph node metastasis, we found the similar result that high lncRNA BANCR expression was related to poor OS (P = 0.004). Furthermore, the multivariate Cox regression model analysis indicated that high expression of lncRNA BANCR was an independent poor prognostic factor in CRC patients (HR 2.24, 95% CI 1.22-4.16, P = 0.009). CONCLUSIONS:Upregulation of lncRNA BANCR may be associated with the lymph node metastasis and poor survival of CRC. LncRNA BANCR could be served as a novel and useful biomarker for CRC lymph node metastasis and prognosis.

BACKGROUND & AIMS:Enhanced motility of cancer cells by remodeling of the actin cytoskeleton seems crucial in the process of cancer invasion and metastasis. We previously identified an actin-binding protein, actinin-4, as a new biomarker of cancer invasion and an indicator of prognosis for patients with breast cancer. However, its involvement in the mechanisms of cancer invasion and metastasis remains undetermined. The current study tested the role of actinin-4 in the motility and metastatic potential of colorectal cancer cells. METHODS & RESULTS:Quantitative immunofluorescence histochemistry showed that the expression level of the actinin-4 protein was increased in 73.1% (19/26) of the cases of colorectal cancer over the corresponding normal intestinal epithelium. The increased expression of actinin-4 was most significant in dedifferentiated cancer cells at the invasive front. A colorectal cancer cell clone capable of inducing actinin-4 using the tetracycline-regulatory system (designated DLD1 Tet-off ACTN-4) was established. Upon the induction of actinin-4, DLD1 Tet-off ACTN-4 cells spread filopodia and significantly increased their motility ( P = .00027); actinin-4 protein was concentrated at the leading edges of these actin-rich podia. When injected into the mesocecum of severe combined immunodeficient mice, DLD1 Tet-off ACTN4 cells, but not the control cells, metastasized into regional mesenteric lymph nodes, resembling the behavior of clinical cancers. The expression of actinin-4 in focally dedifferentiated cancer cells at the invasive front was significantly correlated with the frequency of lymph node metastasis of colorectal cancer ( P = .038). CONCLUSIONS:Actinin-4 actively increases cell motility and promotes lymph node metastasis of colorectal cancer.

BACKGROUND:Because its metastasis to the lymph nodes are closely related to poor prognosis, miRNAs and mRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of colorectal cancer (CRC). This study aimed to identify novel gene signatures in the lymph node metastasis of CRC. METHODS:GSE56350, GSE70574, and GSE95109 datasets were downloaded from the Gene Expression Omnibus (GEO) database, while data from 569 colorectal cancer cases were also downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed miRNAs (DE-miRNAs) were calculated using R programming language (Version 3.6.3), while gene ontology and enrichment analysis of target mRNAs were performed using FunRich ( http://www.funrich.org ). Furthermore, the mRNA-miRNA network was constructed using Cytoscape software (Version 3.8.0). Gene expression levels were verified using the GEO datasets. Similarly, quantitative real-time PCR (qPCR) was used to examine expression profiles from 20 paired non-metastatic and metastatic lymph node tissue samples obtained from patients with CRC. RESULTS:In total, five DE-miRNAs were selected, and 34 mRNAs were identified after filtering the results. Moreover, two key miRNAs (hsa-miR-99a, hsa-miR-100) and one gene (heparan sulfate-glucosamine 3-sulfotransferase 2 [HS3ST2]) were identified. The GEO datasets analysis and qPCR results showed that the expression of key miRNA and genes were consistent with that obtained from the bioinformatic analysis. A novel miRNA-mRNA network capable of predicting the prognosis and confirmed experimentally, hsa-miR-99a-HS3ST2-hsa-miR-100, was found after expression analysis in metastasized lymph node tissue from CRC samples. CONCLUSION:In summary, miRNAs and genes with potential as biomarkers were found and a novel miRNA-mRNA network was established for CRC lymph node metastasis by systematic bioinformatic analysis and experimental validation. This network may be used as a potential biomarker in the development of lymph node metastatic CRC.