ArticleEpigenetics2015
A lincRNA connected to cell mortality and epigenetically-silenced in most common human cancers.
Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 33 citations in OpenAlex.
- lncRNA ZNF667‑AS1 inhibits ovarian cancer progression by interacting with the TNF signaling pathway.Experimental and therapeutic medicine · 2025Article
- Whole transcriptome analysis of platelet concentrates during storage.Blood transfusion = Trasfusione del sangue · 2023Article
- Diagnostic and Therapeutic Implications of Long Non-Coding RNAs in Leukemia.Life (Basel, Switzerland) · 2022Review
- The Role of DNA Methylation and DNA Methyltransferases in Cancer.Advances in experimental medicine and biology · 2022Article
- LncRNAInternational journal of molecular sciences · 2021Review
- A bioinformatics approach to identify novel long, non-coding RNAs in breast cancer cell lines from an existing RNA-sequencing dataset.Non-coding RNA research · 2020Article
- Identification of Long Noncoding RNA Associated ceRNA Networks in Rosacea.BioMed research international · 2020Article
- Analysis of Long Noncoding RNA ZNF667-AS1 as a Potential Biomarker for Diagnosis and Prognosis of Glioma Patients.Disease markers · 2020Article
- LncRNAOncoTargets and therapy · 2020Article
- Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.BioMed research international · 2020Article
- Aberrant hypermethylation-mediated downregulation of antisense lncRNA ZNF667-AS1 and its sense gene ZNF667 correlate with progression and prognosis of esophageal squamous cell carcinoma.Cell death & disease · 2019Article
- Integrative analysis of the contribution of mRNAs and long non‑coding RNAs to the pathogenesis of asthma.Molecular medicine reports · 2019Article
- Article
- Aberrant methylation and downregulation of ZNF667-AS1 and ZNF667 promote the malignant progression of laryngeal squamous cell carcinoma.Journal of biomedical science · 2019Article
- Breast Tissue Biology Expands the Possibilities for Prevention of Age-Related Breast Cancers.Frontiers in cell and developmental biology · 2019Review
- Long Non-Coding RNA Expression Profile Associated with Malignant Progression of Oral Submucous Fibrosis.Journal of oncology · 2019Article
- A Kelch domain-containing KLHDC7B and a long non-coding RNA ST8SIA6-AS1 act oppositely on breast cancer cell proliferation via the interferon signaling pathway.Scientific reports · 2018Article
- Aberrant methylation-mediated silencing of lncRNA CTC-276P9.1 is associated with malignant progression of esophageal squamous cell carcinoma.Clinical & experimental metastasis · 2018Article
- Epigenetic silencing of lncRNAF1000Research · 2018Article
- Epigenetic Silencing ofJournal of breast cancer · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Immortality is an essential characteristic of human carcinoma cells. We recently developed an efficient, reproducible method that immortalizes human mammary epithelial cells (HMEC) in the absence of gross genomic changes by targeting 2 critical senescence barriers. Consistent transcriptomic changes associated with immortality were identified using microarray analysis of isogenic normal finite pre-stasis, abnormal finite post-stasis, and immortal HMECs from 4 individuals. A total of 277 genes consistently changed in cells that transitioned from post-stasis to immortal. Gene ontology analysis of affected genes revealed biological processes significantly altered in the immortalization process. These immortalization-associated changes showed striking similarity to the gene expression changes seen in The Cancer Genome Atlas (TCGA) clinical breast cancer data. The most dramatic change in gene expression seen during the immortalization step was the downregulation of an unnamed, incompletely annotated transcript that we called MORT, for mortality, since its expression was closely associated with the mortal, finite lifespan phenotype. We show here that MORT (ZNF667-AS1) is expressed in all normal finite lifespan human cells examined to date and is lost in immortalized HMEC. MORT gene silencing at the mortal/immortal boundary was due to DNA hypermethylation of its CpG island promoter. This epigenetic silencing is also seen in human breast cancer cell lines and in a majority of human breast tumor tissues. The functional importance of DNA hypermethylation in MORT gene silencing is supported by the ability of 5-aza-2'-deoxycytidine to reactivate MORT expression. Analysis of TCGA data revealed deregulation of MORT expression due to DNA hypermethylation in 15 out of the 17 most common human cancers. The epigenetic silencing of MORT in a large majority of the common human cancers suggests a potential fundamental role in cellular immortalization during human carcinogenesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.