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pmid:31012438

Long Non-Coding RNA ZFAS1 as a Novel Potential Biomarker for Predicting the Prognosis of Thyroid Cancer.

Chuan-Gang Han · Yan Huang · Lu Qin

Medical science monitor : international medical journal of experimental and clinical research · 2019 doi:10.12659/MSM.912921

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:31012438
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science-record
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2026-11-01T15:40:44Z
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title
Long Non-Coding RNA ZFAS1 as a Novel Potential Biomarker for Predicting the Prognosis of Thyroid Cancer.
doi
10.12659/MSM.912921
pmid
31012438
authors array · 3 items
[0]
Chuan-Gang Han
[1]
Yan Huang
[2]
Lu Qin
journal
Medical science monitor : international medical journal of experimental and clinical research
year
2019
abstract
BACKGROUND Thyroid cancer is a type of endocrine cancers with rapidly increased incidence. Recent studies have indicated long non-coding RNAs (lncRNAs) played crucial roles in thyroid cancer tumorigenesis and progression. However, the roles of most lncRNAs in thyroid cancer were still unclear. MATERIAL AND METHODS We used TCGA (The Cancer Genome Atlas), GSE50901, GSE29265, and GSE33630 datasets to analyze the expression pattern of ZFAS1 (ZNFX1 antisense RNA 1). The correlation between ZFAS1 and clinicopathological features in thyroid cancer was analyzed. Cell proliferation and cell cycle assays were used to validate the roles of ZFAS1 in thyroid cancer cell lines. DAVID (the database for annotation, visualization and integrated discover) system was used to perform GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis. The starBase datasets and Cytoscape was used to perform ceRNA (competitive endogenous RNA) network. RESULTS We demonstrated ZFAS1 was highly expressed in thyroid cancer compared to normal samples. Moreover, upregulation of ZFAS1 was positively correlated with clinicopathological features and poor prognosis in thyroid cancer. Functional validation showed knockdown of ZFAS1 suppressed cell proliferation and cell cycle in thyroid cancer cells. Bioinformatics analysis showed ZFAS1 was associated with translation, rRNA processing, intra-Golgi vesicle-mediated transport, ribosome, and ubiquitin-mediated proteolysis. CONCLUSIONS Our study suggested ZFAS1 could serve as a biomarker for thyroid cancer.
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sections[16] "Bioinformatics analysis of ZFAS1 in thyroid cancer" paragraph 2
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The absolute value of the Pearson correlation coefficient ≥0.30 was selected as a cutoff to identified reliable ZFAS1-mRNA pairs.
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To determine the biological effect of ZFAS1, we analyzed TCGA dataset downloaded from cBioPortal [13,14] (http://www.cbioportal.org/), which included matched normal tissues (n=58) and thyroid cancer samples (n=510).
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sections[13] "Long non-coding RNA ZFAS1 was upregulated in human thyroid cancer" paragraph 2
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To determine the biological effect of ZFAS1, we analyzed TCGA dataset downloaded from cBioPortal [13,14] (http://www.cbioportal.org/), which included matched normal tissues (n=58) and thyroid cancer samples (n=510).
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type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:31012438
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sha256:4a94fc789876a308037c1c088452178bd4ac26287271b03ee40369d2ec91d670
fork_of
null
gaps array · 11 items
[0]
asset:data:geo:GSE29265 licence not read
[1]
asset:data:geo:GSE29265 not downloaded
[2]
asset:data:geo:GSE33630 licence not read
[3]
asset:data:geo:GSE33630 not downloaded
[4]
asset:data:geo:GSE50901 licence not read
[5]
asset:data:geo:GSE50901 not downloaded
[6]
execution.not_run
[7]
method.reader_differs_from_extractor
[8]
review.human_critique
[9]
review.independent_reader
[10]
review.machine_critique
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
transfection
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
thyroid cancer. Functional validation showed knockdown of ZFAS1 suppressed cell proliferation and c
[1]
Material and Methods Cell culture and cell transfection CAL62 and SW579 were cultured in RPMI-1640 m
[2]
ied incubator with 5% CO2. On the day before transfection, the cells were harvested and seeded at 5×10
[3]
cells per well in a 6-well plate. Cells were transfected with small interfering RNA (siRNAs) using Li
order_basis
paper_text_order:1279
id
assay:1
[1] object · 11 fields
role
data_generation
definition_id
cell_culture
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.77
evidence array · 1 item
[0]
e and cell transfection CAL62 and SW579 were cultured in RPMI-1640 medium supplemented with 10% fetal
order_basis
paper_text_order:1703
id
assay:2
[2] object · 11 fields
role
analysis
definition_id
correlation_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
pearson_r
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The absolute value of the Pearson correlation coefficient ≥0.30 was selected as a cutoff to identified reliable ZFAS1-mRNA pairs.
order_basis
consumes_earlier_output
id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31012438", "kind": "science-record", "revision": 8, "content_hash": "sha256:c4283e93cd0851a88d40b1fc76360fea73bf2df53722e36cfd4b42da85568246", "created_at": "2026-11-01T15:40:44Z", "updated_at": "2026-11-01T22:00:30Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Long Non-Coding RNA ZFAS1 as a Novel Potential Biomarker for Predicting the Prognosis of Thyroid Cancer.", "doi": "10.12659/MSM.912921", "pmid": "31012438", "authors": ["Chuan-Gang Han", "Yan Huang", "Lu Qin"], "journal": "Medical science monitor : international medical journal of experimental and clinical research", "year": 2019, "abstract": "BACKGROUND Thyroid cancer is a type of endocrine cancers with rapidly increased incidence. Recent studies have indicated long non-coding RNAs (lncRNAs) played crucial roles in thyroid cancer tumorigenesis and progression. However, the roles of most lncRNAs in thyroid cancer were still unclear. MATERIAL AND METHODS We used TCGA (The Cancer Genome Atlas), GSE50901, GSE29265, and GSE33630 datasets to analyze the expression pattern of ZFAS1 (ZNFX1 antisense RNA 1). The correlation between ZFAS1 and clinicopathological features in thyroid cancer was analyzed. Cell proliferation and cell cycle assays were used to validate the roles of ZFAS1 in thyroid cancer cell lines. DAVID (the database for annotation, visualization and integrated discover) system was used to perform GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis. The starBase datasets and Cytoscape was used to perform ceRNA (competitive endogenous RNA) network. RESULTS We demonstrated ZFAS1 was highly expressed in thyroid cancer compared to normal samples. Moreover, upregulation of ZFAS1 was positively correlated with clinicopathological features and poor prognosis in thyroid cancer. Functional validation showed knockdown of ZFAS1 suppressed cell proliferation and cell cycle in thyroid cancer cells. Bioinformatics analysis showed ZFAS1 was associated with translation, rRNA processing, intra-Golgi vesicle-mediated transport, ribosome, and ubiquitin-mediated proteolysis. CONCLUSIONS Our study suggested ZFAS1 could serve as a biomarker for thyroid cancer.", "claims": [{"id": "claim-method", "statement": "The absolute value of the Pearson correlation coefficient ≥0.30 was selected as a cutoff to identified reliable ZFAS1-mRNA pairs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31012438", "locator": "sections[16] \"Bioinformatics analysis of ZFAS1 in thyroid cancer\" paragraph 2", "quote": "The absolute value of the Pearson correlation coefficient ≥0.30 was selected as a cutoff to identified reliable ZFAS1-mRNA pairs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "To determine the biological effect of ZFAS1, we analyzed TCGA dataset downloaded from cBioPortal [13,14] (http://www.cbioportal.org/), which included matched normal tissues (n=58) and thyroid cancer samples (n=510).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31012438", "locator": "sections[13] \"Long non-coding RNA ZFAS1 was upregulated in human thyroid cancer\" paragraph 2", "quote": "To determine the biological effect of ZFAS1, we analyzed TCGA dataset downloaded from cBioPortal [13,14] (http://www.cbioportal.org/), which included matched normal tissues (n=58) and thyroid cancer samples (n=510)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:31012438"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE29265"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE29265"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31012438", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.12659/MSM.912921", "sha256": 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