LncRNA FAL1 is a negative prognostic biomarker and exhibits pro‐oncogenic function in osteosarcoma

A comprehensive overview of liquid biopsy applications in pediatric solid tumors

Liquid biopsies are emerging as an alternative source for pediatric cancer biomarkers with potential applications during all stages of patient care, from diagnosis to long-term follow-up. While developments within this field are reported, these mainly focus on dedicated items such as a specific liquid biopsy matrix, analyte, and/or single tumor type. To the best of our knowledge, a comprehensive overview is lacking. Here, we review the current state of liquid biopsy research for the most common non-central nervous system pediatric solid tumors. These include neuroblastoma, renal tumors, germ cell tumors, osteosarcoma, Ewing sarcoma, rhabdomyosarcoma and other soft tissue sarcomas, and liver tumors. Within this selection, we discuss the most important or recent studies involving liquid biopsy-based biomarkers, anticipated clinical applications, and the current challenges for success. Furthermore, we provide an overview of liquid biopsy-based biomarker publication output for each tumor type based on a comprehensive literature search between 1989 and 2023. Per study identified, we list the relevant liquid biopsy-based biomarkers, matrices (e.g., peripheral blood, bone marrow, or cerebrospinal fluid), analytes (e.g., circulating cell-free and tumor DNA, microRNAs, and circulating tumor cells), methods (e.g., digital droplet PCR and next-generation sequencing), the involved pediatric patient cohort, and proposed applications. As such, we identified 344 unique publications. Taken together, while the liquid biopsy field in pediatric oncology is still behind adult oncology, potentially relevant publications have increased over the last decade. Importantly, steps towards clinical implementation are rapidly gaining ground, notably through validation of liquid biopsy-based biomarkers in pediatric clinical trials.

Emerging roles of long non-coding RNAs in osteosarcoma

Osteosarcoma (OS) is a highly aggressive and lethal malignant bone tumor that primarily afflicts children, adolescents, and young adults. However, the molecular mechanisms underlying OS pathogenesis remain obscure. Mounting evidence implicates dysregulated long non-coding RNAs (lncRNAs) in tumorigenesis and progression. These lncRNAs play a pivotal role in modulating gene expression at diverse epigenetic, transcriptional, and post-transcriptional levels. Uncovering the roles of aberrant lncRNAs would provide new insights into OS pathogenesis and novel tools for its early diagnosis and treatment. In this review, we summarize the significance of lncRNAs in controlling signaling pathways implicated in OS development, including the Wnt/β-catenin, PI3K/AKT/mTOR, NF-κB, Notch, Hippo, and HIF-1α. Moreover, we discuss the multifaceted contributions of lncRNAs to drug resistance in OS, as well as their potential to serve as biomarkers and therapeutic targets. This review aims to encourage further research into lncRNA field and the development of more effective therapeutic strategies for patients with OS.

Regulation of the Epithelial to Mesenchymal Transition in Osteosarcoma

The epithelial to mesenchymal transition (EMT) is a cellular process that has been linked to the promotion of aggressive cellular features in many cancer types. It is characterized by the loss of the epithelial cell phenotype and a shift to a more mesenchymal phenotype and is accompanied by an associated change in cell markers. EMT is highly complex and regulated via multiple signaling pathways. While the importance of EMT is classically described for carcinomas-cancers of epithelial origin-it has also been clearly demonstrated in non-epithelial cancers, including osteosarcoma (OS), a primary bone cancer predominantly affecting children and young adults. Recent studies examining EMT in OS have highlighted regulatory roles for multiple proteins, non-coding nucleic acids, and components of the tumor micro-environment. This review serves to summarize these experimental findings, identify key families of regulatory molecules, and identify potential therapeutic targets specific to the EMT process in OS.

A ferroptosis-related gene signature associated with immune landscape and therapeutic response in osteosarcoma

BACKGROUND

The role of ferroptosis in tumor progression and immune microenvironment is extensively investigated. However, the potential value of ferroptosis regulators in predicting prognosis and therapeutic strategies for osteosarcoma (OS) patients remains to be elucidated.

METHODS

Here, we extracted transcriptomic and survival data from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) to investigate the expression and prognostic value of ferroptosis regulators in OS patients. After comprehensive analyses, including Gene set variation analysis (GSVA), single-sample gene-set enrichment analysis (ssGSEA), Estimated Stromal and Immune cells in Malignant Tumor tissues using Expression (ESTIMATE), single-cell RNA sequencing, and biological experiments, our constructed 8-ferroptosis-regulators prognostic signature effectively predicted the immune landscape, prognosis, and chemoradiotherapy strategies for OS patients.

RESULTS

We constructed an 8-ferroptosis-regulators signature that could predict the survival outcome of OS. The signature algorithm scored samples, and high-scoring patients were more prone to worse prognoses. The tumor immune landscape suggested the positive relevance between risk score and immunosuppression. Interfering HILPDA and MUC1 expression would inhibit tumor cell proliferation and migration, and MUC1 might improve the ferroptosis resistance of OS cells. Moreover, we predicted chemoradiotherapy strategies of cancer patients following ferroptosis-risk-score groups.

CONCLUSION

Dysregulated ferroptosis gene expression can affect OS progression by affecting the tumor immune landscape and ferroptosis resistance. Our risk model can predict OS survival outcomes, and we propose that HILPDA and MUC1 are potential targets for cancer therapy.

Oncogenic Dysregulation of Circulating Noncoding RNAs: Novel Challenges and Opportunities in Sarcoma Diagnosis and Treatment

Simple Summary

Body fluids contain different classes of RNA molecules such as protein-coding messenger RNAs (mRNA) and noncoding RNAs, including microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs). These circulating RNAs can travel naked or packed into extracellular vesicles and display valuable potential as non-invasive biomarkers of sarcoma malignancy. In this review, we summarize current knowledge on the possible functions of these circulating RNAs and discuss their possible exploitation as novel markers to improve sarcoma diagnosis and prognosis. Despite the recent advance in technological tools have improved protocols for the extraction and detection of circulating RNA, many aspects related to the biology of these molecules remain to be elucidated. In particular, the lack of standardization in the assessment of these markers makes difficult their adoption into clinical practice.

Abstract

Sarcomas comprise a heterogeneous group of rare mesenchymal malignancies. Sarcomas can be grouped into two categories characterized by different prognosis and treatment approaches: soft tissue sarcoma and primary bone sarcoma. In the last years, research on novel diagnostic, prognostic or predictive biomarkers in sarcoma management has been focused on circulating tumor-derived molecules as valuable tools. Liquid biopsies that measure various tumor components, including circulating cell-free DNA and RNA, circulating tumor cells, tumor extracellular vesicles and exosomes, are gaining attention as methods for molecular screening and early diagnosis. Compared with traditional tissue biopsies, liquid biopsies are minimally invasive and blood samples can be collected serially over time to monitor cancer progression. This review will focus on circulating noncoding RNA molecules from liquid biopsies that are dysregulated in sarcoma malignancies and discuss advantages and current limitations of their employment as biomarkers in the management of sarcomas. It will also explore their utility in the evaluation of the clinical response to treatments and of disease relapse. Moreover, it will explore state-of-the-art techniques that allow for the early detection of these circulating biomarkers. Despite the huge potential, current reports highlight poor sensitivity, specificity, and survival benefit of these methods, that are therefore still insufficient for routine screening purposes.

Focally amplified long non-coding RNA in epithelial cancer as a potential biomarker and therapeutic target

Deregulation of long non-coding RNAs (lncRNAs) has been implicated in tumorigenesis. FALEC is a lncRNA upregulated in multiple cancer types. FALEC functions as an oncogene through various mechanisms, such as competitively binding miRNAs and regulation of PI3K/AKT, Tp53 and phosphatase and tensin homolog signaling pathways. Pertinent to clinical practice, the use of FALEC as a putative biomarker has been identified. These findings suggested that FALEC might play a pivotal role in human cancers. Further studies are warranted to examine the diagnostic and prognostic performance of FALEC as a noninvasive biomarker in liquid biopsy samples and promote its development to be a clinically utilizable prognostic cancer biomarker and molecular therapeutic target.

Circulating Long Non-Coding RNAs as Novel Potential Biomarkers for Osteogenic Sarcoma

Circulating cell-free nucleic acids recently became attractive targets to develop non-invasive diagnostic tools for cancer detection. Along with DNA and mRNAs, transcripts lacking coding potential (non-coding RNAs, ncRNAs) directly involved in the process of tumor pathogenesis have been recently detected in liquid biopsies. Interestingly, circulating ncRNAs exhibit specific expression patterns associated with cancer and suggest their role as novel biomarkers. However, the potential of circulating long ncRNAs (c-lncRNAs) to be markers in osteosarcoma (OS) is still elusive. In this study we performed a systematic review to identify thirteen c-lncRNAs whose altered expression in blood associate with OS. We herein discuss the potential impact that these c-lncRNAs may have on clinical decision-making in the management of OS. Overall, we aimed to provide novel insights that can contribute to the development of future precision medicine in oncology.

Exosomal microRNAs and exosomal long non-coding RNAs in gynecologic cancers

Gynecologic cancer is a group of any malignancies affecting reproductive tissues and organs of women, including ovaries, uterine, cervix, vagina, vulva, and endometrium. Several types of molecular mechanisms are associated with the progression of gynecologic cancers. Among it can be referred to the most widely studied non-coding RNAs (ncRNAs), specifically microRNAs (miRNAs) and long ncRNAs (lncRNAs). As yet, lncRNAs are known to serve key biological roles via various mechanisms, such as splicing regulation, chromatin rearrangement, translation regulation, cell-cycle control, genetic imprinting and mRNA decay. Besides, miRNAs govern gene expression by modulation of mRNAs and lncRNAs degradation, suggestive of needing more research in this field. Generally, driving gynecological cancers pathways by miRNAs and lncRNAs lead to the current improvement in cancer-related technologies. Exosomes are extracellular microvesicles which can carry cargo molecules among cells. In recent years, more studies have been focused on exosomal non-coding RNAs (exo-ncRNAs) and exosomal microRNAs (exo-miRs) because of being natural carriers of lnc RNAs and microRNAs via programmed process. In this review we summarized recent reports concerning the function of exosomal microRNAs and exosomal long non-coding RNAs in gynecological cancers.

A four-methylated LncRNA signature predicts survival of osteosarcoma patients based on machine learning

Risk stratification using prognostic markers facilitates clinical decision-making in treatment of osteosarcoma (OS). In this study, we performed a comprehensive analysis of DNA methylation and transcriptome data from OS patients to establish an optimal methylated lncRNA signature for determining OS patient prognosis. The original OS datasets were downloaded from the the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. Univariate, Lasso, and machine learning algorithm-iterative Lasso Cox regression analyses were used to establish a methylated lncRNA signature that significantly correlated with OS patient survival. The validity of this signature was verified by the Kaplan-Meier curves, Receiver Operating Characteristic (ROC) curves. We established a four-methylated lncRNA signature that can predict OS patient survival (verified in independent cohort [GSE39055]). Kaplan-Meier analysis showed that the signature can distinguish between the survival of high- and low-risk patients. ROC analysis corroborated this finding and revealed that the signature had higher prediction accuracy than known biomarkers. Kaplan-Meier analysis of the clinical subgroup showed that the signature's prognostic ability was independent of clinicopathological factors. The four-methylated lncRNA signature is an independent prognostic biomarker of OS.

Positive feedback loop SP1/MIR17HG/miR-130a-3p promotes osteosarcoma proliferation and cisplatin resistance

Long noncoding RNAs (lncRNAs) have been identified to be critical regulator in the osteosarcoma (OS) tumorigenesis. However, the role of lncRNA MIR17HG in the OS proliferation and chemotherapy resistance is still unclear. Here, this research aims to investigate the function of lncRNA MIR17HG in the OS proliferation and cisplatin resistance. Clinically, results revealed that higher MIR17HG expression was associated with shorter overall survival. Functional investigations indicated that MIR17HG promoted the proliferation, invasion and cisplatin resistance of OS cells in vitro, and the MIR17HG knockdown inhibited the growth in vivo. Mechanistically, MIR17HG targeted the miR-130a-3p/SP1 axis, moreover, transcription factor SP1 bind with the MIR17HG promoter region to promote its expression. Taken together, MIR17HG displays the tumor-promotive role in the progression of OS through SP1/MIR17HG/miR-130a-3p/SP1 feedback loop. Our findings might help us to offer novel therapeutic strategies for OS.

FAL1: A critical oncogenic long non-coding RNA in human cancers

Long noncoding RNAs (lncRNAs) are characterized as a group of endogenous RNAs that are more than 200 nucleotides in length and have no protein-encoding function. More and more evidence indicates that lncRNAs play vital roles in various human diseases, especially in tumorigenesis. Focally amplified lncRNA on chromosome 1 (FAL1), a novel lncRNA with enhancer-like activity, has been identified as an oncogene in multiple cancers and high expression level of FAL1 is usually associated with poor prognosis. Dysregulation of FAL1 has been shown to promote the proliferation and metastasis of cancer cells. In the present review, we summarized and illustrated the functions and underlying molecular mechanisms of FAL1 in the occurrence and development of different cancers and other diseases. FAL1 has the potential to appear as a feasible diagnostic and prognostic tool and new therapeutic target for cancer patients though further investigation is needed so as to accelerate clinical application.

Long noncoding RNA TTN-AS1 enhances the malignant characteristics of osteosarcoma by acting as a competing endogenous RNA on microRNA-376a thereby upregulating dickkopf-1

The expression levels and detailed functions of TTN-AS1 in osteosarcoma (OS) have not yet been explored. This study aimed to measure TTN-AS1 expression in OS tissues and cell lines, investigate its specific roles in the aggressive characteristics of OS cells in vitro and in vivo, and elucidate the regulatory mechanisms of TTN-AS1 action. TTN-AS1 expression was high in OS tissue samples and cell lines; TTN-AS1 overexpression correlated with the clinical stage, distant metastasis, and shorter overall survival of the patients. A TTN-AS1 knockdown inhibited OS cell proliferation, migration, and invasion and induced apoptosis in vitro and slowed tumor growth in vivo. Mechanism investigation revealed that TTN-AS1 acts as a competing endogenous RNA on microRNA-376a-3p (miR-376a) in OS cells. Dickkopf-1 (DKK1) mRNA was identified as a direct target of miR-376a in OS cells. Resumption of DKK1 expression reversed the tumor-suppressive activities of miR-376a overexpression in OS cells. The knockdown of miR-376a counteracted the reduction in the malignant characteristics of OS cells by the downregulation of TTN-AS1. In conclusion, TTN-AS1 functions as a competing endogenous RNA targeting miR-376a and increases the malignancy of OS cells in vitro and in vivo by upregulating DKK1.

FALEC exerts oncogenic properties to regulate cell proliferation and cell-cycle in endometrial cancer

Focally amplified lncRNA on chromosome 1 (FALEC) is novel lncRNA located in a focal amplicon on chromosome 1q21.2, and has been identified as an oncogenic properties in a variety of human cancers. However, there was no report about the expression pattern and biological function of FALEC in endometrial cancer. In our research, FALEC expression was increased in endometrial cancer tissue samples and cell lines compared with corresponding paracancerous normal tissue samples and cell line, respectively. Furthermore, we investigated the clinical significance of FALEC in endometrial cancer patients, and found endometrial cancer patients with advanced clinical stage or large tumor size had higher levels of FALEC expression than those with early clinical stage or small tumor size. The in vitro studies showed silencing of FALEC expression inhibited cell proliferation and arrested cell cycle at G0/G1. In conclusion, FALEC is overexpressed in endometrial cancer tissues and cells, and involved in regulating cell proliferation and cell-cycle.

Abnormally expressed long noncoding RNA B3GALT5-AS1 may serve as a biomarker for the diagnostic and prognostic of gastric cancer

Early diagnosis of gastric cancer (GC) is an effective method to improve prognosis. Increasing number of long noncoding RNAs (lncRNAs) have been reported as biomarkers for several cancers. We aim to detect the level of lncRNA B3GALT5-AS1 and its association with clinical parameters and to further explore its application value in GC. We measured serum B3GALT5-AS1 expression in 107 patients with GC, 40 polyp patients, and 87 normal controls to explore the significance of serum B3GALT5-AS1 in GC using the quantitative real-time polymerase chain reaction method. The result demonstrated that B3GALT5-AS1 level was markedly richer in GC patients than that in normal people (P < .001). B3GALT5-AS1 may be served as a diagnostic marker for distinguishing GC patients from healthy people, and the proportion under the receiver operating characteristics curve is 0.816 (95% confidence interval, 0.758-0.874; P = .03). Further exploration validated that high serum B3GALT5-AS1 level was related to TNM stage (P = .024), and lymph node metastasis (P = .023). Our study suggested that serum B3GALT5-AS1 may be employed as an ideal biomarker for early screening of GC.

Evaluation of prognostic usefulness of long noncoding RNA GAS5 and FAL1 in papillary thyroid carcinoma

Genetic studies on cancers have revealed that lncRNA-GAS5 and lncRNA-FAL1 are overexpressed in some cancerous cells. The aim of the present investigation was to evaluate the roles of lncRNA-GAS5 and lncRNA-FAL1 gene expression changes in the diagnosis and prognosis of patients with papillary thyroid carcinoma (PTC). In a case-control investigation, we recruited a total of 140 formalin-fixed paraffin-embedded tissues of PTC, including 70 cancerous and noncancerous tissues. Quantitative real-time polymerase chain reaction was used to determine the lncRNA-GAS5 and lncRNA-FAL1 level of gene expression in the two tissue groups. The association between the clinicopathological characteristics of patients and the expression level of lncRNA-GAS5 and lncRNA-FAL1 was evaluated. Our findings revealed that the level of expression in the lncRNA-GAS5 and lncRNA-FAL1 genes was significantly upregulated in thyroid cancerous tissues (P < 0.003 and P < 0.040, respectively). The expression of lncRNA-GAS5 and lncRNA-FAL1 revealed a significant association with tumor node metastasis staging (P < 0.042 and P < 0.001, respectively). It seems that the lncRNA-GAS5 and lncRNA-FAL1 genes play an oncogenic role in PTC. The two genes have a significant potential prognostic value and may likely be used as novel therapeutic targets for PTC patients in the future.

FEZF1-AS1 functions as an oncogenic lncRNA in retinoblastoma

Long non-coding RNA (lncRNA) FEZF1 antisense RNA 1 (FEZF1-AS1) has been shown to be up-regulated in tumor tissues and cells, and exerts oncogenic effects on various types of malignancies. However, the expression and function of FEZF1-AS1 was still fully unclear in retinoblastoma. The purpose of our study was to investigate the expression and clinical value of FEZF1-AS1 in retinoblastoma patients, and explore the effect of FEZF1-AS1 on retinoblastoma cell proliferation, migration and invasion. In our results, levels of FEZF1-AS1 expression were elevated in retinoblastoma tissue specimens and cell lines compared with adjacent normal retina tissue specimens and human retinal pigment epithelial cell line, respectively. The correlation analysis indicated that high FEZF1-AS1 expression was significantly correlated with present choroidal invasion and optic nerve invasion. Survival analysis suggested that retinoblastoma patients in high FEZF1-AS1 expression group had obviously short disease-free survival (DFS) compared with retinoblastoma patients in low FEZF1-AS1 expression group, and high FEZF1-AS1 expression was an independent unfavorable prognostic factor for DFS in retinoblastoma patients. Loss-of-function study indicated silencing FEZF1-AS1 expression inhibited retinoblastoma cell proliferation, invasion and migration. In conclusion, FEZF1-AS1 functions as an oncogenic lncRNA in retinoblastoma.

Noncoding RNAs as circulating biomarkers in osteosarcoma patients

Noncoding RNAs (ncRNAs) identify a large family of RNAs that do not encode proteins and represent an important group of tumor biomarkers, directly involved in the process of tumor pathogenesis and progression. Many of them have also been identified in biological fluids of patients with cancer, especially blood, suggesting their role as an emerging class of circulating biomarkers. Many ncRNAs, both miRNAs and lncRNAs, are deregulated in sarcoma tissues, with the most consistent data in osteosarcomas. In patients with osteosarcoma, the role of ncRNAs as circulating biomarkers is taking enormous value, above all for their ability to vary expression levels during disease progression and in response to therapy. In this mini-review, we summarize the main studies supporting the role of circulating ncRNAs in monitoring disease status in patients with osteosarcoma.

Identification of biomarkers associated with the recurrence of osteosarcoma using ceRNA regulatory network analysis

The aim of the present study was to identify the important mRNAs, micro (mi)RNAs and long non‑coding (lnc)RNAs that are associated with osteosarcoma recurrence. The GSE3905 dataset, which contains two sub‑datasets (GSE39040 and GSE39055), was downloaded from the Gene Expression Omnibus (GEO). Prognosis‑associated RNAs were identified by performing Cox regression univariate analysis and were subsequently used to construct a competing endogenous (ce)RNA regulatory network for Gene Set Enrichment Analysis (GSEA). Kaplan‑Meier survival analysis was used to determine the associations between expression levels and survival prognosis. In addition, another independent miRNA profile, GSE79181, was downloaded from GEO for validation. Among the differentially expressed RNAs, 417 RNAs (5 lncRNAs, 19 miRNAs, and 393 mRNAs) were observed to be associated with prognosis. The GSEA for the ceRNA regulatory network revealed that 'Mitogen‑activated protein kinase (MAPK) signaling pathway', 'Chemokine signaling pathway' and 'Spliceosome' were markedly associated with osteosarcoma. In addition, three lncRNAs [long intergenic non‑protein coding RNA 28 (LINC00028), LINC00323, and small nucleolar RNA host gene 1 (SNHG1)] and two miRNAs (hsa‑miR‑124 and hsa‑miR‑7) regulating three mRNAs [Ras‑related protein Rap‑1b (RAP1B), activating transcription factor 2 (ATF2) and protein phosphatase Mg2+/Mn2+ dependent 1B (PPM1B)] participated in the MAPK signaling pathway. The Kaplan‑Meier survival analysis also demonstrated that samples with lower expression levels of LINC00323 and SNHG1 had better prognosis, and samples with increased expression levels of LINC00028, hsa‑miR‑124 and hsa‑miR‑7 had better prognosis. Overexpression of RAP1B, ATF2 and PPM1B was positively associated with osteosarcoma recurrence. The roles of hsa‑miR‑124 and hsa‑miR‑7 in osteosarcoma recurrence were also validated using GSE79181. Thus, in conclusions, the three lncRNAs (LINC00028, LINC00323 and SNHG1), two miRNAs (hsa‑miR‑124 and hsa‑miR‑7) and three mRNAs (RAP1B, ATF2, and PPM1B) were associated with osteosarcoma recurrence.

LncRNA SNHG16 promotes proliferation, migration and invasion of osteosarcoma cells by targeting miR-1301/BCL9 axis

Long non-coding RNAs (lncRNAs) play a key role in regulating tumor growth and metastasis of osteosarcoma (OS). Recent studies have reported that lncRNA small nucleolar RNA host gene 16 (SNHG16) is highly expressed in OS tissues and contributes to the proliferation, migration and invasion of OS cells. However, the molecular mechanism involved in the oncogenic role of SNHG16 in OS remains poorly known. In the current study, we confirmed that SNHG16 expression was markedly up-regulated in OS tissues compared to paracancerous tissues. The elevated level of SNHG16 closely associated with advanced tumor stages, larger tumor size and more distance metastasis. Furthermore, OS patients with high SNHG16 level had a significant poorer overall survival compared to patients with low SNHG16 level. Knockdown of SNHG16 suppressed the proliferation, migration and invasion of U2OS and MG63 cells. Mechanistically, SNHG16 acted as a competing endogenous RNA (ceRNA) by directly interacting with miR-1301 and inversely regulated its abundance in OS cells. Notably, suppression of miR-1301 rescued SNHG16 knockdown attenuated OS cell proliferation, migration and invasion. SNHG16 knockdown reduced the expression of BCL9 protein in OS cells. Accordingly, BCL9 restoration facilitated the proliferation, migration and invasion of OS cells with SNHG16 knockdown. Collectively, these results suggest that SNHG16 is a potential prognostic biomarker for OS patients. SNHG16 promotes BCL9 expression by sponging miR-1301 to facilitate the proliferation, migration and invasion of OS cells.

Downregulation of Long Non-coding RNA FALEC Inhibits Gastric Cancer Cell Migration and Invasion Through Impairing ECM1 Expression by Exerting Its Enhancer-Like Function

Long non-coding RNAs (lncRNAs) have been shown to play important roles in many human diseases. However, their functions and mechanisms in tumorigenesis and development remain largely unknown. Here, we demonstrated that focally amplified lncRNA in epithelial cancer (FALEC) was upregulated and significantly correlated with lymph node metastasis, TNM stage in gastric cancer (GC). Further experiments revealed that FALEC knockdown significantly inhibited GC cells migration and invasion in vitro. Mechanistic investigations demonstrated that small interfering RNA-induced silencing of FALEC decreased expression of the nearby gene extracellular matrix protein 1 (ECM1) in cis. Additionally, ECM1 and FALEC expression were positively correlated, and high levels of ECM1 predicted shorter survival time in GC patients. Our results suggest that the downregulation of FALEC significantly inhibited the migration and invasion of GC cells through impairing ECM1 expression by exerting an enhancer-like function. Our work provides valuable information and a novel promising target for developing new therapeutic strategies in GC.