Risk factors for percutaneous left ventricular assist device explant complications.

INTRODUCTION: Percutaneous left ventricular assist device (pLVAD) explant remains nonstandardized with potential complications of bleeding and thrombosis. Explant settings include percutaneous techniques in the catheterization laboratory (CL), manually at bedside (MB), and surgically in the operating room (OR). OBJECTIVE: Identify high-risk features for explant-related complications, including indication for support, setting, and technique. METHODS: Postexplant bleeding and thrombosis/limb ischemia were identified following pLVAD removals over 2 years at a multicenter healthcare system. RESULTS: Of 156 patients, bleeding (n = 26 [17%]) and thrombosis (n = 9 [6%]) occurred more often in patients with the peripheral arterial disease (PAD), female gender, anemia, and cardiogenic shock. OR explants had a higher combined endpoint (4/8 [50%]) versus CL (23/133 [17%], p < 0.05) driven by transfusion. There was no difference between OR versus MB (5/15 [33%], p = 0.66) or CL versus MB (p = 0.62). In shock patients, there was no difference between CL (7/30 [23%]) versus MB (5/15 [33%], p = 0.5) and OR (4/7 [57%], p = 0.16); or MB versus OR (p = 0.38). Average length of stay was significantly lower in the CL group versus MB and OR (3.6 ± 33.2 vs. 18.4 ± 10.9 vs. 28.1 ± 15.8 days, p < 0.0001). Preclosure in shock patients (5/25 [20%] vs. 11/27 [41%], p = 0.1383) and crossover balloon occlusion technique (9/44 [16%] vs. 25/112 [22%]; p = 1) were not associated with higher combined endpoints versus control. CONCLUSION: Risk factors for pLVAD explant complications include PAD, female gender, and cardiogenic shock. There was no difference in complication rates between explant settings among cardiogenic shock patients, but shorter length of stay when performed in the CL. There was no difference in complication rates when using the crossover balloon occlusion technique.

Effects of Mediterranean diets and nutrigenomics on cardiovascular health.

The field of nutrigenomics studies the interaction between nutrition and genetics, and how certain dietary patterns can impact gene expression and overall health. The Mediterranean diet (MedDiet), characterized by a high intake of fruits, vegetables, whole grains, and healthy fats, has been linked to better cardiovascular health (CVH) outcomes. This review summarizes the current state of research on the effects of nutrigenomics and MedDiet on cardiovascular health. Results suggest that MedDiet, through its impact on gene expression, can positively influence CVH markers such as blood pressure, lipid profile, and inflammation. However, more research is needed to fully understand the complex interactions between genetics, nutrition, and CVH, and to determine the optimal dietary patterns for individualized care. The aim of this scientific review is to evaluate the current evidence on the effects of nutrigenomics and MedDiet on cardiovascular health. The review summarizes the available studies that have investigated the relationship between nutrition, genetics, and cardiovascular health, and explores the mechanisms by which certain dietary patterns can impact CVH outcomes. The review focuses on the effects of MedDiet, a dietary pattern that is rich in whole foods and healthy fats, and its potential to positively influence CVH through its impact on gene expression. The review highlights the limitations of current research and the need for further studies to fully understand the complex interplay between nutrition, genetics, and cardiovascular health.

Bovine serum albumin functionalized blue emitting Ti3 C2 MXene quantum dots as a sensitive fluorescence probe for Fe3+ ion detection and its toxicity analysis.

In the present work, an improved class of protein functionalized fluorescent 2D Ti3 C2 MXene quantum dots (MXene QDs) was prepared using a hydrothermal method. Exfoliated 2D Ti3 C2 sheets were used as the starting precursor and transport protein bovine serum albumin (BSA) was used to functionalize the MXene QDs. BSA-functionalized MXene QDs exhibited excellent photophysical property and stability at various physiological parameters. High-resolution transmission electron microscopy analysis showed that the BSA@MXene QDs were quasispherical in shape with a size of ~2 nm. The fluorescence intensity of BSA@MXene QDs was selectively quenched in the presence of Fe3+ ions. The mechanism of fluorescence quenching was further substantiated using time-resolved fluorescence and Stern-Volmer analysis. The sensing assay showed a linear response within the concentration range 0-150 µM of Fe3+ ions with excellent limit of detection. BSA@MXene QDs probe showed good selectivity toward ferric ions even in the presence of other potential interferences. The practical applicability of BSA@MXene QDs was further tested in real samples for Fe3+ ion quantification and the sensor had good recovery rates. The cytotoxicity studies of the BSA@MXene QDs toward the human glioblastoma cells revealed that BSA@MXene QDs are biocompatible at lower doses and showed significant cytotoxicity at higher dosages.

The impact of land use and land cover change on groundwater recharge in northwestern Bangladesh.

Groundwater recharge is affected by various anthropogenic activities, land use and land cover (LULC) change among these. The long-term temporal and seasonal changes in LULC have a substantial influence on groundwater flow dynamics. Therefore, assessment of the impacts of LULC changes on recharge is necessary for the sustainable management of groundwater resources. The objective of this study is to examine the effects of LULC changes on groundwater recharge in the northwestern part of Bangladesh. Spatially distributed monthly groundwater recharge was simulated using a semi-physically based water balance model. Long-term temporal LULC change analysis was conducted using LULC maps from 2006 to 2016, while wet and dry LULC maps were used to examine seasonal changes. The results show that the impervious built-up area has increased by 80.3%, whereas vegetated land cover has decreased by 16.4% over the study period. As a result, groundwater recharge in 2016 has decreased compared to the level seen in 2006. However, the decrease in recharge due to long-term temporal LULC changes is very small at the basin scale (2.6 mm/year), although the impact on regional level is larger (17.1 mm/year) due to urbanization. Seasonal LULC variations also affect recharge due to the higher potential for dry seasonal LULC compared to the wet seasonal LULC, a substantial difference (20.6 mm/year). The results reveal important information about the groundwater system and its response to land cover changes in northwestern Bangladesh.

Are direct restorations an effective treatment strategy in the management of root caries lesions?

Data sources PubMed, Cochrane Library/Embase and Web of science.Study selection Randomised controlled trials and non-randomised trials reporting success or failure rates of direct restorative materials for managing root caries lesions and in vitro studies assessing performance of restorations for root caries lesions published between September 1990 and October 2021 and written in English were included.Data extraction and synthesis Data was extracted by one reviewer and quality assessment of the included clinical studies performed using the Cochrane risk-of-bias in non-randomised studies of interventions tools. Restoration success, survival and failure rates were presented for each included study with no data synthesis.Results A total of 11 clinical studies and 31 in vitro studies were included. Restoration failure rates ranged from 14-55% at 24-60 months. Success rates of atraumatic restorative technique (ART) ranged from 65-87% at 12-60 months.Conclusion There is a lack of high-quality evidence to provide a recommendation on the most appropriate restorative material for restoring root caries lesions. The survival rate of ART and conventional techniques are comparable and ART could be an optional treatment where conventional treatment is challenging.

Secondary pituitary hormonal dysfunction patterns: tumor size and subtype matter.

PURPOSE: Patients with sellar masses (SM) frequently have secondary hormonal deficiency (SHD) at initial presentation. While larger SM are more likely to present with SHD, it is unclear whether SHD at presentation is influenced by the type of SM. METHODS: We conducted a retrospective analysis of patients with SM prospectively enrolled in our comprehensive provincial neuropituitary registry between November 2005 and December 2018. SM were subdivided based on size: < 1 cm, 1-1.9 cm, 2-2.9 cm, and > 3 cm. RESULTS: A total of 914 patients met the inclusion criteria, including: 346 nonfunctioning adenomas (NFA), 261 prolactinomas (PRLoma), 51 growth hormone adenomas, 36 adrenocorticotropic adenomas, 93 Rathke's cleft cysts, 70 craniopharyngiomas and 57 meningiomas. The overall rate of SHD at presentation was highest in PRLoma (62.8%) and craniopharyngiomas (64.3%) and lowest in meningiomas (14%). While larger SM were significantly more likely to have SHD, the rate of SHD within each group was significantly different despite similar size (p < 0.001). Of the two largest groups of SM (NFA and PRLoma), NFA had significantly higher odds ratio (3.34, CI 1.89-5.89) of having multiple SHDs when compare with PRLoma, even when corrected for age, gender and size of tumor (p < 0.001). CONCLUSION: Our study shows that the rate and distribution of SHD in SM vary dependent upon the size of the tumor and specific pathology; in particular, NFA are more likely to present with multiple SHDs. Our data will help clinicians in determining adequate hormonal testing strategy for different SM.

Applications of Machine Learning in miRNA Discovery and Target Prediction.

MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten these complications with experimental studies. However, there is still a need for an optimized approach in miRNA biology. Therefore, machine learning (ML) would initiate a new era of research in miRNA biology towards potential diseases biomarker. In this article, we described the application of ML approaches in miRNA discovery and target prediction with functions and future prospective. The implementation of a new era of computational methodologies in this direction would initiate further advanced levels of discoveries in miRNA.

Profile of Malignant Spinal Cord Compression: One Year Study at Regional Cancer Center.

BACKGROUND AND OBJECTIVES: Malignant spinal cord compression is an oncologic emergency, unless diagnosed early and treated appropriately, can lead to permanent neurological impairment and compromised quality of life of patients. We analyzed the epidemiology and the effect of common interventions on the outcome in these patients. PATIENTS AND METHODS: We conducted a prospective study of 77 patients in the year 2014 and recorded relevant patient and disease characteristics. All patients received corticosteroids. Eight patients were operated upon, and radiotherapy was delivered in 62 patients. RESULTS: Most of the patients were in the age group of 41-60 years and there was no gender preponderance in patients. Female breast cancer was the most common incident (15.5%) malignancy followed by multiple myeloma, lung, and prostatic carcinoma. Lower dorsal spine was the most common site of compression (35%) followed by lumbar (31%) and mid-dorsal (26%) spine. 70 (91%) patients had cord compression subsequent to bone metastasis while as other patients had leptomeningeal metastasis. In 31 (40%) patients, spinal cord compression was the presenting symptom. Overall, only 26 patients had motor improvement after treatment. CONCLUSION: Grade of power before treatment was predictive of response to treatment and overall outcome of motor or sensory functions. Neurodeficit of more than 10 days duration was associated with poor outcome in neurological function.

The celiac axis revisited: anatomic variants, pathologic features, and implications for modern endovascular management.

The celiac axis (CA) and its branches are critically important arteries that supply blood to the vital solid and hollow abdominal viscera of the foregut. There are many potential anatomic configurations, with up to half the population having a variation from the classic pattern of the CA bifurcating into the hepatosplenic trunk and left gastric artery. These configurations result from permutations in the fusion of the paired dorsal aortas during the first trimester. Despite the short length of the CA, it is affected by a wide range of pathologic conditions, including mesenteric ischemia due to intrinsic occlusion (secondary to causes such as atherosclerosis or thromboembolic events) and extrinsic compression from masses or the median arcuate ligament. Symptoms of mesenteric ischemia are nonspecific and include postprandial abdominal pain and weight loss; thus, the underlying pathologic condition may be found only when being sought specifically. More unusual pathologic conditions include dissection, aneurysms, and vascular malformations. Awareness of the pathologic conditions that affect the CA is important for both diagnostic and interventional radiologists. Early recognition and treatment of CA disease may prevent catastrophic hemorrhage and bowel infarction. Both endovascular and surgical approaches to treatment are greatly enhanced by correct identification of arterial anatomic variants; catheter angiography, computed tomographic angiography, and magnetic resonance angiography can facilitate detection of these variants. Knowledge of the different anatomic permutations is essential to guide endovascular procedures, such as hemorrhage control, transarterial interventional oncologic therapy, and treatment of visceral artery aneurysms. Online supplemental material is available for this article.

Advancements in biosensors for cancer detection: revolutionizing diagnostics.

Cancer stands as the reigning champion of life-threatening diseases, casting a shadow with the highest global mortality rate. Unleashing the power of early cancer treatment is a vital weapon in the battle for efficient and positive outcomes. Yet, conventional screening procedures wield limitations of exorbitant costs, time-consuming endeavors, and impracticality for repeated testing. Enter bio-marker-based cancer diagnostics, which emerge as a formidable force in the realm of early detection, disease progression assessment, and ultimate cancer therapy. These remarkable devices boast a reputation for their exceptional sensitivity, streamlined setup requirements, and lightning fast response times. In this study, we embark on a captivating exploration of the most recent advancements and enhancements in the field of electrochemical marvels, targeting the detection of numerous cancer biomarkers. With each breakthrough, we inch closer to a future where cancer's grip on humanity weakens, guided by the promise of personalized treatment and improved patient outcomes. Together, we unravel the mysteries that cancer conceals and illuminate a path toward triumph against this daunting adversary. This study celebrates the relentless pursuit of progress, where electrochemical innovations take center stage in the quest for a world free from the clutches of carcinoma.

Whole-Exome Sequencing Detecting a Recurrent Pathogenic Mutation, HFE p.His63Asp (H63D) in COVID-19 Patients and Its Effect on Mortality.

BACKGROUND: In recent years, various coronaviruses have caused severe respiratory illnesses worldwide. For example the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections of COVID-19 outbreak in 2019 in Wuhan, China. Genome-wide association studies (GWAS) have significantly expanded our comprehension of how specific genetic variations are linked to diseases. Research has demonstrated the existence of genetic factors influencing susceptibility to coronaviruses. The objective of this study was to examine the association of certain loci with the COVID-19 in Saudi population. METHODS: In the present study we have examined the link between the COVID-19 disease and certain genetic variants in hospitalized COVID-19 patients (n = 16) in Tabuk and Bisha, Kingdom Saudi Arabia. We used the genome Analysis Toolkit (GATK) and Comprehensive variant annotation was performed different databases and tools such as Search Tool for the Retrieval of Interacting Genes (STRING), PanelApp and PolyPhen-2. RESULTS: The study showed that the genetic variants associated with genes such as Homeostatic Iron Regulator (HFE) (found in 7 patients, representing 44%), complement factor H (CFH) (6 patients, 38%), cadherin 23 (CDH23) (4 patients, 25%), cytotoxic T-lymphocyte associated protein 4 (CTLA-4) (3 patients, 19%), Transforming Growth Factor Beta 1 (TGFB1) (3 patients, 19%), CREB-binding protein (CREBBP) (2 patients, 13%), E1A Binding Protein P300 (EP300) (2 patients, 13%), hemoglobin subunit beta (HBB) (2 patients, 13%), interferon regulatory factor 7 (IRF7) (2 patients, 13%), and unc-119 lipid binding chaperone (UNC119) (2 patients, 13%) might be associated with susceptibility to coronavirus. We also identified mutations in the COVID-19 patient that are pathogenic or likely pathogenic. CONCLUSION: A recurrent pathogenic mutation, HFE p.His63Asp (H63D), was identified in 7 patients, suggesting its potential contribution to disease severity. Additionally, a likely pathogenic variant, HBB p.Glu7Val (E7V), was present in 2 patients, highlighting its potential role in disease susceptibility. Our results shed light on the key genetic mechanisms of COVID-19 pathogenesis and help to identify and stratify the individuals or populations that are at risk to corona virus infection. The identification of susceptible individuals or populations assist in prevention and/or in treatment programs.

Prolonged drought periods over the last four decades increase flood intensity in southern Africa.

In semi-arid sub-Saharan Africa, climate change and the intensification of human activities have altered the hydrological balance and modified the recurrence of extreme hydroclimatic events, such as droughts and floods. The geomorphological heterogeneity of river catchments across the region, the variable human pressure, and the lack of continuous hydroclimatic data preclude the definition of proper mitigation strategies, with a direct effect on the sustainability of rural communities. Here, for the first time in Africa, we characterize hydrological extreme events using a multidisciplinary approach that includes sedimentary data from dams. We focus on the Limpopo River basin to evaluate which factors control flood magnitude since the 1970. Extreme flood events were identified across the basin in 1988-89, 1995-96, 1999-2000, 2003-04, 2010-11, 2013-14 and 2016-17. The statistical analysis of sedimentary flood records revealed a dramatic increase in their magnitude over the studied period. A positive correlation between maximum river flow and antecedent prolonged drought conditions was found in South Africa and Mozambique. Most importantly, since 1980, we observed the likely decoupling of extreme floods from the magnitude of La Niña events, suggesting that the natural interannual variability driven by El Niño-Southern Oscillation (ENSO) has been disrupted by climate changes and human activities.

Cardiogenic and obstructive shock: primary laryngeal synovial sarcoma with cardiac metastasis.

A man in his 20s with a history of laryngeal synovial sarcoma presented with dyspnoea. Imaging revealed a large right ventricular (RV) mass, which was resected, and histological analysis indicated synovial sarcoma recurrence. Within 1 month of RV mass resection, the tumour progressed with paratracheal metastasis. The lumen was nearly obliterated, and right ventricular outflow tract (RVOT) obstruction led to rapid deterioration with mixed cardiogenic and obstructive shock. We present a rare case of primary laryngeal synovial sarcoma metastasising to the heart.

Robust genetic machine learning ensemble model for intrusion detection in network traffic.

Network security has developed as a critical research subject as a result of the Rapid advancements in the development of Internet and communication technologies over the previous decades. The expansion of networks and data has caused cyber-attacks on the systems, making it difficult for network security to detect breaches effectively. Current Intrusion Detection Systems (IDS) have several flaws, including their inability to prevent attacks on their own, the requirement for a professional engineer to administer them, and the occurrence of false alerts. As a result, a plethora of new attacks are being created, making it harder for network security to properly detect breaches. Despite the best efforts, IDS continues to struggle with increasing detection accuracy while lowering false alarm rates and detecting new intrusions. Therefore, network intrusion detection enhancement by preprocessing and generation of highly reliable algorithms is the main focus nowadays. Machine learning (ML) based IDS systems have recently been implemented as viable solutions for quickly detecting intrusions across the network. In this study, we use a combined data analysis technique with four Robust Machine learning ensemble algorithms, including the Voting Classifier, Bagging Classifier, Gradient Boosting Classifier, and Random Forest-based Bagging algorithm along with the proposed Robust genetic ensemble classifier. For each algorithm, a model is created and tested using a Network Dataset. To assess the performance of both algorithms in terms of their ability to anticipate the anomaly occurrence, graphs of performance rates have been evaluated. The suggested algorithm outperformed other methods as it shows the lowest values of mean square error (MSE) and mean absolute error (MAE). The experiments were conducted on the Network traffic dataset available on Kaggle, on the Python platform, which has limited samples. The proposed method can be applied in the future with more machine learning ensemble classifiers and deep learning techniques.

One-pot microwave synthesis of chitosan-stabilized silver nanoparticles entrapped polyethylene oxide nanofibers, with their intrinsic antibacterial and antioxidant potency for wound healing.

Different physical and chemical techniques could be used to prepare chitosan/Silver nanoparticle (CHS/AgNPs) nanocomposite. The microwave heating reactor was rationally adopted as a benign tool for preparing CHS/AgNPs owing to less energy consumption and shorter time required for completing the nucleation and growth particles. UV-Vis, FTIR, and XRD, provided conclusive evidence of the AgNPs creation, while TEM micrographs elucidated that the size was spherical (20 nm). CHS/AgNPs were embedded in polyethylene oxide (PEO) nanofiber via electrospinning, and their biological properties, cytotoxicity evaluation, antioxidant, and antibacterial activity assays were investigated. The generated nanofibers have mean diameters of 130.9 ± 9.5, 168.7 ± 18.8, and 186.8 ± 8.19 nm for PEO, PEO/ CHS, and PEO/ CHS (AgNPs), respectively. Because of the tiny AgNPs particle size loaded in PEO/CHS (AgNPs) fabricated nanofiber, good antibacterial activity with ZOI against E. coli was 51.2 ± 3.2, and S. aureus was 47.2 ± 2.1 for PEO/ CHS (AgNPs) nanofibers. Non-toxicity was observed against Human Skin Fibroblast and Keratinocytes cell lines (>93.5 %), which justifies its great antibacterial potential to remove or prevent infection in wounds with fewer adverse effects.

Haematological risk factors predicting clinical success in transarterial embolisation for acute gastrointestinal bleeding.

OBJECTIVES: Evaluate clinical outcomes in transarterial embolisation (TAE) for acute gastrointestinal bleeding (GIB) and determine risk factors for 30-day reintervention for rebleeding and mortality. METHODS: TAE cases were retrospectively reviewed between March 2010 and September 2020 at our tertiary centre. Technical success (angiographic haemostasis following embolisation) was measured. Uni- and multivariate logistic regression analysis were performed to identify risk factors for clinical success (absence of 30-day reintervention or mortality) following embolisation for active GIB or empirical embolisation for suspected bleeding. RESULTS: TAE was conducted in 139 patients (92 (66.2%) male; median age:73, range: 20-95 years) for acute upper GIB (n = 88) and lower GIB (n = 51). TAE was technically successful in 85/90 (94.4%) and clinically successful in 99/139 (71.2%); with 12 (8.6%) reintervention cases for rebleeding (median interval 2 days) and 31 (22.3%) cases of mortality (median interval 6 days). Reintervention for rebleeding was associated with haemoglobin drop > 40 g l-1 from baseline based on univariate analysis (p = 0.047). 30-day mortality was associated with pre-intervention platelet count < 150×109 l-1 (p < 0.001, OR 7.35, 95% CI 3.05-17.71) and INR > 1.4 (p < 0.001, OR 4.75, 95% CI 2.03-11.09) on multivariate logistic regression analysis. No associations were found for patient age, gender, antiplatelet/anticoagulation prior to TAE, or when comparing upper and lower GIB with 30-day mortality. CONCLUSION: TAE had excellent technical success for GIB with relatively high (1-in-5) 30-day mortality. INR > 1.4 and platelet count < 150×109 l-1 were individually associated with TAE 30-day mortality, and pre-TAE > 40 g l-1 haemoglobin decline with rebleeding requiring reintervention. ADVANCES IN KNOWLEDGE: Recognition and timely reversal of haematological risk factors may improve TAE periprocedural clinical outcomes.

Synthesis, spectrophotometric, pharmacology and theoretical investigation of a new electron transfer complex of 8-hydroxyquinoline with oxalic acid in different polar solvents.

Preparation, characterization, and investigation of a novel organic charge transfer (CT) complex were carried out, with a focus on exploring its antibacterial and antifungal characteristics. Theoretical analysis backs up the experimental findings. CT complex formed was synthesized between 8-hydroxyquinoline (8HQ) and oxalic acid (OA) at RT (room temperature). Different analyses were used to describe the CT complex, including 1H-NMR, FTIR, TGA/DTA, and UV-vis spectra (in different solvents). These indicate that the CT interaction is linked to proton transfer from OA to 8HQ and the subsequent development of 'N+__H…O-" type bonding. On the basis of wave number, the CT complex and reactants are distinguished in FTIR spectra. By using Thermo gravimetric Analysis/Differential Thermal Analysis (TGA/DTA) tests, the thermal stability of complicated and thorough corrosion was examined. Through UV-visible spectroscopy, physical characteristics like ECT (interaction energy), RN (resonance energy), ID (ionization potential), f (oscillator strength) and ΔG (free energy) were calculated. The εCT (molar extinction coefficient), the KCT (formation constant), and additional physical properties of this complex were calculated by the Benesi-Hildebrand equation in order to determine its 1:1 stoichiometry. The biological properties are also supported by theoretical study. The protein, Human Serum Albumin (HSA), is observed to bind with CT complex, as shown by molecular docking and the observed binding energy value is -167.04 kcal/mol. Molecular dynamics (MD) simulation 100 ns run was used to refine docking results and binding free energy was calculated using MM-PBSA. This study introduces a novel CT complex, offering fresh perspectives on molecular interactions.Communicated by Ramaswamy H. Sarma.

Long non-coding RNAs modulate tumor microenvironment to promote metastasis: novel avenue for therapeutic intervention.

Cancer is a devastating disease and the primary cause of morbidity and mortality worldwide, with cancer metastasis responsible for 90% of cancer-related deaths. Cancer metastasis is a multistep process characterized by spreading of cancer cells from the primary tumor and acquiring molecular and phenotypic changes that enable them to expand and colonize in distant organs. Despite recent advancements, the underlying molecular mechanism(s) of cancer metastasis is limited and requires further exploration. In addition to genetic alterations, epigenetic changes have been demonstrated to play an important role in the development of cancer metastasis. Long non-coding RNAs (lncRNAs) are considered one of the most critical epigenetic regulators. By regulating signaling pathways and acting as decoys, guides, and scaffolds, they modulate key molecules in every step of cancer metastasis such as dissemination of carcinoma cells, intravascular transit, and metastatic colonization. Gaining a good knowledge of the detailed molecular basis underlying lncRNAs regulating cancer metastasis may provide previously unknown therapeutic and diagnostic lncRNAs for patients with metastatic disease. In this review, we concentrate on the molecular mechanisms underlying lncRNAs in the regulation of cancer metastasis, the cross-talk with metabolic reprogramming, modulating cancer cell anoikis resistance, influencing metastatic microenvironment, and the interaction with pre-metastatic niche formation. In addition, we also discuss the clinical utility and therapeutic potential of lncRNAs for cancer treatment. Finally, we also represent areas for future research in this rapidly developing field.