Loss of MicroRNA Induces Pro-Metastatic Changes in Pancreatic Cancer Cells
By LabMedica International staff writers Posted on 14 Jun 2016 |

Image: A pancreatic cancer cell. The nucleus is stained blue, while the fibers of the cytoskeleton are labelled with a red fluorescent dye (Photo courtesy of Dr. Nathalie Giese, Chirurgische Universitätsklinik Heidelberg, Germany).
Reduced activity of a specific microRNA (miRNA) is apparent in chronically inflamed pancreatic tissue and in early stages of pancreatic cancer (pancreatic ductal adenocarcinoma or PDAC) even before tumor formation.
PDAC is characterized by very early metastasis, which has led some researchers to postulate that metastasis-associated changes may occur prior to actual tumor formation. To confirm this hypothesis investigators at the German Cancer Research Center (Heidelberg, Germany) analyzed levels of miRNAs known to be linked to PDAC.
MicroRNAs are a class of about 20 nucleotides-long RNA fragments that block gene expression by attaching to molecules of messenger RNA in a fashion that prevents them from transmitting the protein synthesizing instructions they had received from the DNA. With their capacity to fine-tune protein expression via sequence-specific interactions, miRNAs help regulate cell maintenance and differentiation.
The investigators reported in the May 23, 2016, online edition of the journal Cancer Research that they had identified the microRNA miR-192 as an epigenetically regulated suppressor gene with predictive value in PDAC. Levels of miR-192 were downregulated by promoter methylation in both PDAC and chronic pancreatitis (CP), a risk factor that leads to a 15-fold increase in the likelihood of contracting pancreatic cancer.
Functional studies in vitro and in mouse models of PDAC showed that overexpression of miR-192 was sufficient to reduce cell proliferation and invasion. Mechanistic analyses correlated changes in miR-192 promoter methylation and expression with epithelial-mesenchymal transition (EMT).
Cell proliferation and invasion were linked to altered expression of the miR-192 target gene SERPINE1, which encodes the protein plasminogen activator inhibitor-1 (PAI-1), an established regulator of these properties in PDAC cells. These results suggested that miR-192 downregulation established an invasive capacity in these pancreatic cells even before they transformed into cancer cells.
"We think that the cells often already have metastatic capacity before even transforming into cancer cells," said senior author Dr. Jörg Hoheisel, head of the division of functional genome analysis at the German Cancer Research Center. "To check this hypothesis, we searched the tumor cells for molecular changes that are indicative of the tendency to spread early. Our interpretation of these results is that epigenetic changes that occur already in inflamed pancreatic tissue lead to reduced production of miR-192. This means that the cells acquire the capacity of invasion and metastasis, which initially has no consequences. The actual transformation into cancer cells is caused by other, unrelated factors and can occur later. The result is cancer cells that are capable, from the very start, to invade surrounding tissue and spread metastases."
Related Links:
German Cancer Research Center
PDAC is characterized by very early metastasis, which has led some researchers to postulate that metastasis-associated changes may occur prior to actual tumor formation. To confirm this hypothesis investigators at the German Cancer Research Center (Heidelberg, Germany) analyzed levels of miRNAs known to be linked to PDAC.
MicroRNAs are a class of about 20 nucleotides-long RNA fragments that block gene expression by attaching to molecules of messenger RNA in a fashion that prevents them from transmitting the protein synthesizing instructions they had received from the DNA. With their capacity to fine-tune protein expression via sequence-specific interactions, miRNAs help regulate cell maintenance and differentiation.
The investigators reported in the May 23, 2016, online edition of the journal Cancer Research that they had identified the microRNA miR-192 as an epigenetically regulated suppressor gene with predictive value in PDAC. Levels of miR-192 were downregulated by promoter methylation in both PDAC and chronic pancreatitis (CP), a risk factor that leads to a 15-fold increase in the likelihood of contracting pancreatic cancer.
Functional studies in vitro and in mouse models of PDAC showed that overexpression of miR-192 was sufficient to reduce cell proliferation and invasion. Mechanistic analyses correlated changes in miR-192 promoter methylation and expression with epithelial-mesenchymal transition (EMT).
Cell proliferation and invasion were linked to altered expression of the miR-192 target gene SERPINE1, which encodes the protein plasminogen activator inhibitor-1 (PAI-1), an established regulator of these properties in PDAC cells. These results suggested that miR-192 downregulation established an invasive capacity in these pancreatic cells even before they transformed into cancer cells.
"We think that the cells often already have metastatic capacity before even transforming into cancer cells," said senior author Dr. Jörg Hoheisel, head of the division of functional genome analysis at the German Cancer Research Center. "To check this hypothesis, we searched the tumor cells for molecular changes that are indicative of the tendency to spread early. Our interpretation of these results is that epigenetic changes that occur already in inflamed pancreatic tissue lead to reduced production of miR-192. This means that the cells acquire the capacity of invasion and metastasis, which initially has no consequences. The actual transformation into cancer cells is caused by other, unrelated factors and can occur later. The result is cancer cells that are capable, from the very start, to invade surrounding tissue and spread metastases."
Related Links:
German Cancer Research Center
Latest BioResearch News
- Genome Analysis Predicts Likelihood of Neurodisability in Oxygen-Deprived Newborns
- Gene Panel Predicts Disease Progession for Patients with B-cell Lymphoma
- New Method Simplifies Preparation of Tumor Genomic DNA Libraries
- New Tool Developed for Diagnosis of Chronic HBV Infection
- Panel of Genetic Loci Accurately Predicts Risk of Developing Gout
- Disrupted TGFB Signaling Linked to Increased Cancer-Related Bacteria
- Gene Fusion Protein Proposed as Prostate Cancer Biomarker
- NIV Test to Diagnose and Monitor Vascular Complications in Diabetes
- Semen Exosome MicroRNA Proves Biomarker for Prostate Cancer
- Genetic Loci Link Plasma Lipid Levels to CVD Risk
- Newly Identified Gene Network Aids in Early Diagnosis of Autism Spectrum Disorder
- Link Confirmed between Living in Poverty and Developing Diseases
- Genomic Study Identifies Kidney Disease Loci in Type I Diabetes Patients
- Liquid Biopsy More Effective for Analyzing Tumor Drug Resistance Mutations
- New Liquid Biopsy Assay Reveals Host-Pathogen Interactions
- Method Developed for Enriching Trophoblast Population in Samples
Channels
Clinical Chemistry
view channel
‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more
Low-Cost Portable Screening Test to Transform Kidney Disease Detection
Millions of individuals suffer from kidney disease, which often remains undiagnosed until it has reached a critical stage. This silent epidemic not only diminishes the quality of life for those affected... Read more
New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
Cancer diagnoses have traditionally relied on invasive or time-consuming procedures like tissue biopsies. Now, new research published in ACS Central Science introduces a method that utilizes pulsed infrared... Read moreMolecular Diagnostics
view channel
Blood Biomarker Test Could Detect Genetic Predisposition to Alzheimer’s
New medications for Alzheimer’s disease, the most common form of dementia, are now becoming available. These treatments, known as “amyloid antibodies,” work by promoting the removal of small deposits from... Read more
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read more
New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
"Liquid biopsy" technology, which relies on blood tests for early cancer detection and monitoring cancer burden in patients, has the potential to transform cancer care. However, detecting the mutational... Read more
"Metal Detector" Algorithm Hunts Down Vulnerable Tumors
Scientists have developed an algorithm capable of functioning as a "metal detector" to identify vulnerable tumors, marking a significant advancement in personalized cancer treatment. This breakthrough... Read more
Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
Pancreatic cancer is often asymptomatic in its early stages, making it difficult to detect until it has progressed. Consequently, only 15% of pancreatic cancers are diagnosed early enough to allow for... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more