A Panel of Serum Noncoding RNAs for the Diagnosis and Monitoring of Response to Therapy in Patients with Breast Cancer.

BACKGROUND The aim of this study was to identify a panel of serum noncoding RNAs (ncRNAs) as potential diagnostic and prognostic biomarkers for breast cancer. MATERIAL AND METHODS Patients with breast cancer (n=30), and normal controls (n=30) were included in the 'training set.' A 'validation set' included cases of breast cancer (n=128) and controls (n=77). All cases provided blood samples for serum analysis. All cases of breast cancer were confirmed histologically and were staged. Quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to detect the expression of 11 candidate ncRNAs, including long noncoding RNAs (lncRNAs) and microRNAs (miRNAs), in the serum. The expression of the panel of ncRNAs was further analyzed following surgery or chemotherapy. RESULTS The four ncRNAs identified in the serum of patients with breast cancer included let-7a, miR-155, miR-574-5p, and metastasis-associated lung adenocarcinoma transcript 1 (MALAT1). Analysis based on the risk score showed that the panel of these four ncRNAs could effectively distinguish between patients with breast cancer and the control group. For the training set and the validation set, analysis of the receiver-operating characteristic (ROC) curve showed that the areas under the curve (AUCs) were 0.960 and 0.968, respectively. Also, the serum expression levels of the four ncRNAs differed in the pre-treatment and the post-treatment patients with breast cancer, with levels of miR-155 showing a significant decrease following chemotherapy. CONCLUSIONS A panel of serum ncRNAs, including let-7a, miR-155, miR-574-5p, and MALAT1, was shown to be present in patients with breast cancer.

The de-ubiquitinase UCHL1 promotes gastric cancer metastasis via the Akt and Erk1/2 pathways.

Ubiquitin C-terminal hydrolase-L1 (UCHL1) is a de-ubiquitinating enzyme, which enzymatic activity relies on the C90 site. The function of UCHL1 is controversial in different types of cancer, and its role in gastric cancer progression remains unclear. In this study, immunohistochemistry staining was applied to detect the expression of UCHL1 in primary gastric cancer and liver metastases from gastric cancer. MKN45 and BGC823 cell lines with stable expression of de-ubiquitinase active UCHL1 or inactive UCHL1-variant C90S were established by lentiviral infection. The effect of UCHL1 on cell proliferation was evaluated by MTT and colony formation assays. The abilities of cell migration and invasion were determined by transwell assay. Protein expression levels were determined by Western blot. The results indicated that UCHL1 had a significantly higher positive expression rate in liver metastases from gastric cancer compared with primary gastric cancer. Overexpression of UCHL1 in MKN45 and BGC823 cells promoted cell proliferation, migration, and invasion depending on its de-ubiquitinase activity. UCHL1 activated Akt and Erk1/2, which process also required enzymatic activity and was necessary for mediating cell migration and invasion. These findings demonstrated that UCHL1 promoted cell proliferation, migration, and invasion depending on its de-ubiquitinase activity by activating Akt and Erk1/2, which may account for its higher positive expression rate in liver metastases from gastric cancer. UCHL1 could be a candidate biomarker and a therapeutic target for gastric cancer metastasis.

A circulating non-coding RNA panel as an early detection predictor of non-small cell lung cancer.

AIMS: Early non-small cell lung cancer (NSCLC) diagnosis is generally poor due to the lack of convenient and noninvasive tools. MicroRNAs (miRNAs) and the long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) are non-coding RNAs, that have attracted increased attention for their use as NSCLC tumor diagnostic markers. MAIN METHODS: We constructed a serum miRNA and MALAT1 non-coding RNA panel and tested its diagnostic performance as an NSCLC biomarker. We tested the expression of 11 candidate miRNAs and MALAT1 in a training set (36 NSCLCs vs. 36 controls) by quantitative reverse transcription polymerase chain reactions. The serum non-coding RNA panel's diagnostic efficiency was tested and validated in a second validation sample set (120 NSCLCs and 71 controls) by receiver operating characteristic (ROC) curve analyses. KEY FINDINGS: In the training set, the expression of the four non-coding RNAs (miR-1254, miR-485-5p, miR-574-5p, and MALAT1) was obviously different between the NSCLC patients and healthy controls. Risk score analysis revealed that the four non-coding RNA panel can distinguish NSCLC patient samples from controls. The ROC curve results revealed areas under the curves (AUCs) of 0.861 (95% confidence interval (CI) 0.771-0.952) and 0.844 (95% CI0.778-0.910) for the training set and validation set, respectively. SIGNIFICANCE: The four non-coding RNA risk scores were also associated with NSCLC progression, and its diagnostic efficiency was relatively high for stages I/II/III. In conclusion, these data indicate that the four non-coding RNA panel can serve as a convenient tool for early NSCLC diagnosis.

NAIF1 inhibits gastric cancer cells migration and invasion via the MAPK pathways.

PURPOSE: Nuclear apoptosis-inducing factor 1 (NAIF1) could induce apoptosis in gastric cancer cells. Previously, we have reported that the expression of NAIF1 protein is down-regulated in gastric cancer tissues compared with the adjacent normal tissues. However, the role of NAIF1 in gastric cancer cells is not fully understood. METHODS: The effects of NAIF1 on cell viability were evaluated by MTT and colony formation assays. The ability of cellular migration and invasion were analyzed by transwell assays. The expression levels of targeted proteins were determined by western blot. The relative RNA expression levels were analyzed using quantitative polymerase chain reaction assays. Xenograft experiment was employed to determine the anti-tumor ability of NAIF1 in vivo. RESULTS: The study demonstrates that transient transfection of NAIF1 in gastric cancer cells BGC823 and MKN45 could inhibit the cell proliferation, migration, and invasion of the two gastric cancer cell lines. The tumor size is smaller in NAIF1-overexpressed MKN45 cell xenograft mice than in unexpressed group. Further in-depth analysis reveals that NAIF1 reduces the expression of MMP2 as well as MMP9, and inhibits the activation of FAK, all of which are key molecules involved in regulating cell migration and invasion. In addition, NAIF1 inhibits the expression of c-Jun N-terminal kinase (JNK) by accelerating its degradation through ubiquitin-proteasome pathway. Meanwhile, NAIF1 reduces the mRNA and protein expression of ERK1/2. CONCLUSIONS: Our study revealed that NAIF1 plays a role in regulating cellular migration and invasion through the MAPK pathways. It could be a therapeutic target for gastric cancer.

Identification of a circulating microRNA signature for colorectal cancer detection.

Prognosis of patients with colorectal cancer (CRC) is generally poor because of the lack of simple, convenient, and noninvasive tools for CRC detection at the early stage. The discovery of microRNAs (miRNAs) and their different expression profiles among different kinds of diseases has opened a new avenue for tumor diagnosis. We built a serum microRNA expression profile signature and tested its specificity and sensitivity as a biomarker in the diagnosis of CRC. We also studied its possible role in monitoring the progression of CRC. We conducted a two phase case-control test to identify serum miRNAs as biomarkers for CRC diagnosis. Using quantitative reverse transcription polymerase chain reactions, we tested ten candidate miRNAs in a training set (30 CRCs vs 30 controls). Risk score analysis was used to evaluate the diagnostic value of the serum miRNA profiling system. Other independent samples, including 83 CRCs and 59 controls, were used to validate the diagnostic model. In the training set, six serum miRNAs (miR-21, let-7g, miR-31, miR-92a, miR-181b, and miR-203) had significantly different expression levels between the CRCs and healthy controls. Risk score analysis demonstrated that the six-miRNA-based biomarker signature had high sensitivity and specificity for distinguishing the CRC samples from cancer-free controls. The areas under the receiver operating characteristic (ROC) curve of the six-miRNA signature profiles were 0.900 and 0.923 for the two sets of serum samples, respectively. However, for the same serum samples, the areas under the ROC curve used by the tumor markers carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) were only 0.649 and 0.598, respectively. The expression levels of the six serum miRNAs were also correlated with CRC progression. Thus, the identified six-miRNA signature can be used as a noninvasive biomarker for the diagnosis of CRC, with relatively high sensitivity and specificity.