Dataset Information

Mitotically-Associated lncRNA (MANCR) Affects Genomic Stability and Cell Division in Aggressive Breast Cancer.

ABSTRACT: Aggressive breast cancer is difficult to treat as it is unresponsive to many hormone-based therapies; therefore, it is imperative to identify novel, targetable regulators of progression. Long non-coding RNAs (lncRNA) are important regulators in breast cancer and have great potential as therapeutic targets; however, little is known about how the majority of lncRNAs function within breast cancer. This study characterizes a novel lncRNA, MANCR (mitotically-associated long noncoding RNA; LINC00704), which is upregulated in breast cancer patient specimens and cells. Depletion of MANCR in triple-negative breast cancer cells significantly decreases cell proliferation and viability, with concomitant increases in DNA damage. Transcriptome analysis, based on RNA sequencing, following MANCR knockdown reveals significant differences in the expression of >2,000 transcripts, and gene set enrichment analysis identifies changes in multiple categories related to cell-cycle regulation. Furthermore, MANCR expression is highest in mitotic cells by both RT-qPCR and RNA in situ hybridization. Consistent with a role in cell-cycle regulation, MANCR-depleted cells have a lower mitotic index and higher incidences of defective cytokinesis and cell death. Taken together, these data reveal a role for the novel lncRNA, MANCR, in genomic stability of aggressive breast cancer, and identify it as a potential therapeutic target.Implications: The novel lncRNA, MANCR (LINC00704), is upregulated in breast cancer and is functionally linked with cell proliferation, viability, and genomic stability. Mol Cancer Res; 16(4); 587-98. ©2018 AACR.

SUBMITTER: Tracy KM

PROVIDER: S-EPMC5882506 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Mitotically-Associated lncRNA (MANCR) Affects Genomic Stability and Cell Division in Aggressive Breast Cancer.

Tracy Kirsten M KM Tye Coralee E CE Ghule Prachi N PN Malaby Heidi L H HLH Stumpff Jason J Stein Janet L JL Stein Gary S GS Lian Jane B JB

Molecular cancer research : MCR 20180129 4

Aggressive breast cancer is difficult to treat as it is unresponsive to many hormone-based therapies; therefore, it is imperative to identify novel, targetable regulators of progression. Long non-coding RNAs (lncRNA) are important regulators in breast cancer and have great potential as therapeutic targets; however, little is known about how the majority of lncRNAs function within breast cancer. This study characterizes a novel lncRNA, MANCR (mitotically-associated long noncoding RNA; LINC00704), ...[more]

PMID: 29378907

Similar Datasets

Project description:BackgroundLong non-coding RNAs (lncRNAs) have become potential therapeutic targets or promising prognostic biomarkers in cancers. However, individual gene does not show sufficient prognostic value for clear cell renal cell carcinoma (ccRCC). Therefore, this study aims to develop a combined prognostic lncRNA signature to the prognosis of ccRCC.MethodsThe transcriptome profiling data for confirmed ccRCC cases were obtained from The Cancer Genome Atlas (TCGA; https://portal.gdc.cancer.gov/). The prognostic significance, survival time and diagnostic effectiveness of the lncRNAs in ccRCC was evaluated using Kaplan-Meier method, the log-rank test and receiver operating characteristic (ROC) curves, respectively. The area under the ROC curve (AUC) of the 4 lncRNAs was also performed. The expression of mitotically-associated lncRNA (MANCR) was measured in ccRCC cells or tissues by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Both Colony formation assays and Cell Counting Kit-8 (CCK-8) assay was conducted to detect the proliferation of both 786-O and SN12C cells. For apoptosis detection, flow cytometry in both 786-O and SN12C cells was performed. For migration of 786-O and SN12C cells detection, wound healing and transwell assays were performed.ResultsA total of 1,567 differentially expressed lncRNAs in ccRCC were discerned with 1,340 upregulation and 227 downregulation. Furthermore, a 4-lncRNA signature (FIRRE, MANCR, AC103706.1, and AC018648.1) model was obtained that showed good performance in the prognosis of ccRCC. Gene Ontology (GO) analysis showed that these protein-coding genes (PCGs) were mainly enriched in ATPase activity, catalytic activity, and acting on RNA protein serine/threonine kinase activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that PCGs were mainly involved in endocytosis, oocyte meiosis and spliceosome. In addition, we revealed that MANCR was highly expressed in ccRCC cells and tissues and downregulation of MANCR inhibited cell proliferation and migration. In contrast, apoptosis of 786-O and SN12C cells was promoted with MANCR suppression.ConclusionsA 4-lncRNA prognostic model that presented good performance for prognosis of ccRCC patients was established. Knockdown of MANCR inhibited cell proliferation and migration, and promoted apoptosis of 786-O and SN12C cells, suggesting that a 4-lncRNA signature model might be an essential for ccRCC prognosis.

Project description:The breast tumor microenvironment plays an active role in tumorigenesis. Molecular alterations, including epigenetic modifications to DNA, and changes in RNA and protein expression have been identified in tumor-associated stroma; however, there is considerable debate as to whether the stroma is characterized by genomic instability or whether detection of chromosomal alterations in the breast stroma is a reflection of technological artifact rather than the true genomic content of the tumor microenvironment. Methods: Surgically-removed breast stroma specimens from 112 women undergoing reductive mammoplasty (n=15), prophylactic mastectomy (N=6) or mastectomy for a diagnosis of breast disease (n=92) were frozen in optimal cutting temperature medium. Allelic imbalance (AI) analysis was performed in 484 stromal specimens from 98 women using a panel of 52 microsatellite markers; SNP data was generated from a subset of 86 stromal specimens using 250K SNP arrays (Affymetrix). Copy number alterations were identified using Partek Genomics Suite. Results: AI was not detected in 92% (444/484) of stroma specimens. When compared to previously generated AI data from 77 formalin-fixed, paraffin-embedded stroma specimens (Ellsworth et al., Ann Surg Oncol 2004), 32 (42%) of which harbored at least one detectable AI event, the frequency of AI in the FFPE specimens (4.62%) was significantly higher (P<0.0001) than that found in frozen specimens (0.45%). Of the stroma specimens assayed using SNP arrays 95% (82/86) had no detectable alterations and the 11 copy number changes were small and not shared between specimens. Conclusions: The data presented here support a model in which the tumor microenvironment is genetically stable. The direct comparison of copy number alterations between FFPE and frozen research-grade specimens using identical methodologies suggests that past reports of significant AI in breast stroma, both adjacent to and distant from the tumor, reflects artifact in the archival specimens caused by formalin-fixation, paraffin-embedding and tissue storage.

Dataset Information

Mitotically-Associated lncRNA (MANCR) Affects Genomic Stability and Cell Division in Aggressive Breast Cancer.

Publications

Mitotically-Associated lncRNA (MANCR) Affects Genomic Stability and Cell Division in Aggressive Breast Cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets