Non-coding RNAs in cancer initiation and progression and as novel biomarkers

Cancer represents a complex group of heterogeneous diseases. While many cancers share fundamental biological processes (hallmarks of cancer) necessary for their development and progression, cancers also distinguish themselves by their dependence on distinct oncogenic pathways. Over the last decade, targeted therapies have been introduced to the clinic with variable success. In truth, single targeted therapies may be successful in only a subset of malignancies but insufficient to address malignancies that often rely on multiple pathways, thus evading single targeted agents. Investigators have recently identified potentially functional components of the human genome that were previously thought to have no biological function. This discovery has added to the already established complexity of gene regulation in the pathogenesis of cancer. Non-coding RNAs represent key regulators of gene expression. Improved knowledge of their biogenesis and function may in turn lead to a better understanding of the heterogeneity of malignancies and eventually be leveraged as diagnostic, prognostic and therapeutic targets. MicroRNAs (miRNAs or miRs) for example, have the capacity for the regulation of multiple genes and thus redirection or reprogramming of biological pathways. However, several other members of the non-coding RNA family may be of equal biological relevance. In this review, we provide a perspective on emerging concepts in the clinical application of miRNA and other non-coding RNAs as biomarkers in cancer with an eye on the eventual integration of both miRNA and other non-coding RNA biology into our understanding of cancer pathogenesis and treatment.     

Small nucleolar RNA signatures as biomarkers for non-small-cell lung cancer

Background  

Non-small-cell lung cancer (NSCLC) is the leading cause of cancer death. Early detection of NSCLC will improve its outcome. The current techniques for NSCLC early detection are either invasive or have low accuracy. Molecular analyses of clinical specimens present promising diagnostic approaches. Non-coding RNAs (ncRNAs) play an important role in tumorigenesis and could be developed as biomarkers for cancer. Here we aimed to develop small nucleolar RNAs (snoRNAs), a common class of ncRNAs, as biomarkers for NSCLC early detection. The study comprised three phases: (1) profiling snoRNA signatures in 22 NSCLC tissues and matched noncancerous lung tissues by GeneChip Array, (2) validating expressions of the signatures by RT-qPCR in the tissues, and (3) evaluating plasma expressions of the snoRNAs in 37 NSCLC patients, 26 patients with chronic obstructive pulmonary disease (COPD), and 22 healthy subjects.     

Small nucleolar RNA 78 promotes the tumorigenesis in non-small cell lung cancer

Background

Accumulating evidence suggests that dysregulated snoRNA may play a role in the development of malignancy. In the present study, we investigated the role of SNORD78 in the tumorigenesis of non-small cell lung cancer (NSCLC).

Methods

We determined the expression level of SNORD78 in NSCLC tissues with quantitative real-time PCR and then studied its clinical significance. We explored the biological significance of SNORD78 with gain-and-loss-of-function analyses both in vitro and in vivo.

Results

A great upregulation of SNORD78 was observed in cancer tissues compared to their adjacent normal tissues. Meanwhile, patients with high SNORD78 expression have significantly poorer prognosis than those with low expression. Inhibition of SNORD78 suppressed the proliferation of NSCLC cells via inducing G0/G1 cell cycle arrest and apoptosis while SNORD78 overexpression promoted the cell proliferation. SNORD78 promoted invasion of NSCLC cells via inducing epithelial-mesenchymal-transition (EMT). SNORD78 was also obviously upregulated in cancer stem-like cells and is required for the self-renewal of NSCLC. The oncogenic activity of SNORD78 was also confirmed with in vivo data.

Conclusion

Our study identified that SNORD78 may be a potential therapeutic target for NSCLC.     

Identification of serum miRNAs as novel non-invasive biomarkers for detection of high risk for early gastric cancer

Background:

Many micro-RNAs (miRNAs) are differentially expressed in Helicobacter pylori-infected gastric mucosa and in gastric cancer tissue and previous reports have suggested the possibility of serum miRNAs as complementary tumour markers. The aim of the study was to investigate serum miRNAs and pepsinogen levels in individuals at high risk for gastric cancer both before and after H. pylori eradication.

Methods:

Patients with recent history of endoscopic resection for early gastric cancer and the sex- and age-matched controls were enrolled. Serum was collected from subjects before or after eradication and total RNA was extracted to analyse serum levels of 24 miRNAs. Serum pepsinogen (PG) I and II levels were measured using enzyme-linked immunosorbent assay kits.

Results:

Using miR-16 as an endogenous control, the relative levels of miR-106 and let-7d before and after H. pylori eradication and miR-21 after eradication were significantly higher in the high-risk group than in the controls. H. pylori eradication significantly decreased miR-106b levels and increased let-7d only in the control group. After eradication, the combination MiR-106b with miR-21 was superior to serum pepsinogen and the most valuable biomarker for the differentiating high-risk group from controls.

Conclusion:

Serum miR-106b and miR-21 may provide a novel and stable marker of increased risk for early gastric cancer after H. pylori eradication.     

RNA-Seq profiling of circular RNAs in human colorectal cancer 5-fluorouracil resistance and potential biomarkers

BACKGROUNDColorectal cancer (CRC) is a commonly diagnosed cancer of the digestive system worldwide. Although chemotherapeutic agents and targeted therapeutic drugs are currently available for CRC treatment, drug resistance is a problem that cannot be ignored and needs to be solved. AIMTo explore the relationship between circular RNA (circRNA) and CRC drug resistance. circRNA plays a key role in the occurrence and development of cancers, but its function in the process of drug resistance has not been widely revealed. METHODSTo explore the role of circRNA in 5-fluorouracil (5-Fu) resistance, we performed the circRNA expression profile in two CRC cell lines and their homologous 5-Fu resistant cells by high-throughput sequencing.RESULTSWe validated the differentially expressed circRNAs in other two paired CRC cells, confirmed that circ_0002813 and circ_0000236 could have a potential competitive endogenous RNA mechanism and be involved in the formation of 5-Fu resistance. And we combined the sequencing results of mRNA to construct the regulatory network of circRNA-miRNA-mRNA. CONCLUSIONOur study revealed that circ_0002813 and circ_0000236 may as the biomarkers to predict the occurrence of 5-Fu resistance in CRC.     

A plasma metabolite panel as biomarkers for early primary breast cancer detection

In recent years, metabolites have attracted substantial attention as promising novel biomarkers of various diseases. However, breast cancer plasma metabolite studies are still in their infancy. Here, we investigated the potential of metabolites to serve as minimally invasive, early detection markers of primary breast cancer. We profiled metabolites extracted from the plasma of primary breast cancer patients and healthy controls using tandem mass spectrometry (UHPLC-MS/MS and FIA-MS/MS). Two metabolites were found to be upregulated, while 16 metabolites were downregulated in primary breast cancer patients compared to healthy controls in both the training and validation cohorts. A panel of seven metabolites was selected by LASSO regression analysis. This panel could differentiate primary breast cancer patients from healthy controls, with an AUC of 0.87 (95% CI: 0.81 ~ 0.92) in the training cohort and an AUC of 0.80 (95% CI: 0.71 ~ 0.87) in the validation cohort. These significantly differentiated metabolites are mainly involved in the amino acid metabolism and breast cancer cell growth pathways. In conclusion, using a metabolomics approach, we identified metabolites that have potential value for development of a multimarker blood-based test to complement and improve early breast cancer detection. The panel identified herein might be part of a prescreening tool, especially for younger women or for closely observing women with certain risks, to facilitate decision making regarding which individuals should undergo further diagnostic tests. In the future, the combination of metabolites and other blood-based molecular marker sets, such as DNA methylation, microRNA, and cell-free DNA mutation markers, will be an attractive option.     

Expression profile of long non-coding RNAs in pancreatic cancer and their clinical significance as biomarkers

Long non-coding RNAs (lncRNAs) have shown great potential as powerful and non-invasive tumor markers. However, little is known about their value as biomarkers in pancreatic cancer (PC). We applied an Arraystar Human LncRNA Microarray which targeting 7419 lncRNAs to determine the lncRNA expression profile in PC and to screen the potential biomarkers. The most increased lncRNAs in PC tissues were HOTTIP-005, XLOC_006390, and RP11-567G11.1. Increased HOTTIP-005 and RP11-567G11.1 expression were poor prognostic factors for patients with PC (n = 144, p < 0.0001). The expression patterns of HOTTIP splice variants in PC were also detected. HOTTIP-005 and HOTTIP-001 were the first and second most increased HOTTIP splice variants, respectively. Plasma HDRF and RDRF (HOTTIP-005 and RP11-567G11.1 derived RNA fragments in plasma/serum) were present in stable form. Their levels were significantly increased in the patients with PC as compared to the healthy controls (n = 127 and 122 respectively, p < 0.0001) and the high levels were derived from PC. HDRF and RDRF levels are promising indicators for distinguishing patients with PC from those without PC. This study identified HOTTIP-005 and RP11-567G11.1 and their plasma fragments with the potential to be used as prognostic and diagnostic biomarkers of PC. Further large-scale prospective studies are needed to confirm our findings.     

Reprimo as a potential biomarker for early detection in gastric cancer

PURPOSE: Gastric cancer is a curable disease if diagnosed at early stage. However, most cases are diagnosed at advanced stage because of the lack of screening programs. Therefore, the identification of plasma biomarkers for early detection is necessary. EXPERIMENTAL DESIGN: To search for these biomarkers, we evaluated the DNA methylation patterns of 24 genes by Methylation-specific PCR in primary tissues from 32 retrospectively collected gastric cancer cases (testing group). Correlation between methylation and gene expression was evaluated in the MKN-45 cell line after treatment with 5-aza-2'-deoxycytidine. The most frequently hypermethylated genes were next evaluated in primary tissues and plasma samples from 43 prospectively collected gastric cancer cases as well as plasma samples from 31 asymptomatic age- and gender-matched controls (validation group). RESULTS: In the testing group, 11 genes were hypermethylated in at least 50% of cases (APC, SHP1, E-cadherin, ER, Reprimo, SEMA3B, 3OST2, p14, p15, DAPK, and p16). Eight genes (BRCA1, p73, RARbeta, hMLH1, RIZI, RUNX3, MGMT, and TIMP3) were statistically associated with a particular variant of gastric cancer, the signet-ring cell type (P = 0.03). Seven genes (APC, SHP1, E-cadherin, ER, Reprimo, SEMA3B, and 3OST2) were next evaluated in the validation group. We confirm the high frequency of methylation in primary tumors for all seven genes. However, only APC and Reprimo were frequently methylated in pair plasma samples. In asymptomatic controls, only Reprimo was infrequently methylated in comparison with plasma from gastric cancer cases (P < 0.001). CONCLUSION: Our results identified specific methylation profile associated to signet-ring cell-type histology and aberrant hypermethylation of Reprimo as a potential biomarker for early detection of gastric cancer.     

Serum tRNA-derived small RNAs as potential novel diagnostic biomarkers for pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal common cancer because of late diagnosis. Novel biomarkers for PDAC early detection are urgently needed. tRNA-derived small RNAs (tsRNAs) are novel small RNAs might serve as biomarkers for cancer diagnosis and participate in diverse physiological and pathological process. We investigated whether the expression of tsRNAs in serum could be a noninvasive method in the early detection of PDAC. Blood sample of PDAC patients and healthy controls were collected from Ruijin Hospital, Shanghai, China. Tumor and adjacent normal pancreas tissues were collected from 51 patients with PDAC undergoing therapeutic surgery. The testing cohort comprised 6 PDAC patients and 6 healthy controls and the expression of small RNAs in serum was analyzed by small RNA sequence. We verified the diagnostic performance of serum tsRNAs by qPCR in validation cohort including 110 PDAC patients and 100 healthy controls. Expression level of tsRNAs in tissue was also verified in another independent cohort including 51 tumor and 51 adjacent normal pancreas tissues. Unpaired t-test and paired t-test are used for comparing depending on whether the samples are paired. The predictive performance of tsRNAs was evaluated by Kaplan-Meier survival and receiver operating characteristic (ROC) curve. There were 45 tsRNAs expressed at remarkably higher levels, 6 tsRNAs expressed at lower levels in PDAC patients, respectively, compared with healthy volunteers. tsRNA-ValTAC-41, tsRNA-MetCAT-37 and tsRNA-ThrTGT-23 expressed significant highly (P < 0.05) in serum of PDAC patients in validation cohort. tsRNA-ValTAC-41 or tsRNA-MetCAT-37 combined with CA19-9 could increase the AUC of PDAC prediction (AUC = 0.947 and 0.949 respectively), relative to CA19-9 test alone. Besides, patients with higher serum tsRNA-ValTAC-41 level showed shorter overall survival (OS). tsRNA-ValTAC-41 also expressed at remarkably higher level in tumor tissue, and it was obviously associated with tumor staging both in serum and tissue. We provide tsRNAs profiles observed by small RNA sequencing. The diagnostic accuracy of tsRNA-ValTAC-41 and tsRNA-MetCAT-37 in serum of PDAC patients were verified. Further studies for tsRNA-ValTAC-41 are needed to confirm the findings. These tsRNAs may be promising and effective candidates in the development of highly sensitive, noninvasive biomarkers for PDAC diagnosis.     

Found in transcription: gene expression and other novel blood biomarkers for the early detection of breast cancer

Early detection of a growing breast tumor is of key importance for patient survival. Despite limitations, mammography screening has improved the detection of breast tumors, however many tumors are not detected. This is especially true for younger women and women with high breast density. Novel diagnostic blood biomarkers either generated by the tumor and released into the blood, or generated by nontumor cells as a response to the tumor presence, can now potentially help improve the accuracy of early-stage breast cancer detection. They include multicomponent biomarkers, circulating tumor cells and RNA expression of peripheral blood. These novel biomarkers and their potential use will be presented and discussed in this review, with special emphasis on gene expression-based markers.     

Circulating microRNAs as potential new biomarkers for prostate cancer

Since they were first described in the 1990s, circulating microRNAs (miRNAs) have provided an active and rapidly evolving area of current research that has the potential to transform cancer diagnostics and therapeutics. In particular, miRNAs could provide potential new biomarkers for prostate cancer, the most common cause of cancer in UK men. Current diagnostic tests for prostate cancer have low specificity and poor sensitivity. Further, although many prostate cancers are so slow growing as not to pose a major risk to health, there is currently no test to distinguish between these and cancers that will become aggressive and life threatening. Circulating miRNAs are highly stable and are both detectable and quantifiable in a range of accessible bio fluids, thus have the potential to be useful diagnostic, prognostic and predictive biomarkers. This review aims to summarise the current understanding of circulating miRNAs in prostate cancer patients and their potential role as biomarkers.