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pmid:31258754

SNAI2 3'untranslated region promotes the invasion of ovarian cancer cells by inducing MARCKS expression.

Jun Li · Jieyu Wang · Huiran Yue · Xin Lu

Journal of Cancer · 2019 doi:10.7150/jca.29489

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

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:31258754
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science-record
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2026-11-01T15:40:46Z
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2026-11-01T22:00:39Z
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paper object · 10 fields
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title
SNAI2 3'untranslated region promotes the invasion of ovarian cancer cells by inducing MARCKS expression.
doi
10.7150/jca.29489
pmid
31258754
authors array · 4 items
[0]
Jun Li
[1]
Jieyu Wang
[2]
Huiran Yue
[3]
Xin Lu
journal
Journal of Cancer
year
2019
abstract
Objective: Recently, accumulating evidence has indicated that the 3' untranslated regions (3'UTRs) of protein coding genes play critical roles in the progression of various cancers, including ovarian cancer. This study is aimed to identify the potential role of SNAI2-3'UTR in ovarain cancer progression. Study Design: First, we tried to explore the clinical significance of SNAI2 in ovarian cancer using TCGA and GSE26712 dataset. Then, gain-of-function studies were performed to establish the role of SNAI2-3'UTR in invasion and migration of ovarian cancer cells. Finally, efforts were made to identify the downstream targets of SNAI2-3'UTR. Results: Our data indicated that the expression of SNAI2 was significantly correlated with FIGO stage (P=0.015) and lymphatic invasion status (P=0.004), whereas not with age(P>0.05) and histological grade(P>0.05). Patients with higher SNAI2 expression had a shorter overall survival (OS) in both TCGA dataset (P=0.039, HR=1.54(1.02-2.33)) and GSE26712 dataset (P=0.0017, HR=1.77(1.24-2.54)). Functional studies revealed that SNAI2-3'UTR promoted the invasion of both OVCA433 and SKOV-3 cells without significantly affecting their migratory abilities. MARCKS, which was also involved in the invasion of ovarian cancer cells, was identified as a potential downstream target of SNAI2-3'UTR. SNAI2-3'UTR may function as a ceRNA to upregulate MARCKS expression in ovarian cancer. Conclusion: In conclusion, our study demonstrated that SNAI2-3'UTR cloud promote the invasion of ovarian cancer cells by upregulating MARCKS expression, which proposed a new mechanism by which SNAI2 contributed to progression of ovarian cancer.
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The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes.
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sections[12] "2.10 Statistical analysis" paragraph 2
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The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes.
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We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.
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sections[3] "2.1 TCGA datasets" paragraph 2
quote
We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.
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We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.
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We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.
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A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer
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The relationship between SNAI2 expression and clinicopathological parameters in 208 primary ovarian cancer from TCGA datasets
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3.1 The relationship between SNAI2 expression and the clinicopathological parameters in ovarian cancer patients
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The relationship between SNAI2 expression and clinicopathological parameters in 208 primary ovarian cancer from TCGA datasets
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The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes.
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We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.
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[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:31258754
parent_hash
sha256:af390273da5c1a0ac38e397edd2ab09560a18accb89c2e6886195c07d0413450
fork_of
null
gaps array · 7 items
[0]
asset:data:geo:GSE26712 licence not read
[1]
asset:data:geo:GSE26712 not downloaded
[2]
execution.not_run
[3]
method.reader_differs_from_extractor
[4]
review.human_critique
[5]
review.independent_reader
[6]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
analysis
definition_id
survival_analysis
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
[0]
logrank_test
support_state
supported
source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
[0]
The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes.
order_basis
analysis_only
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:31258754", "kind": "science-record", "revision": 8, "content_hash": "sha256:551879dbea8abee31f8bacaba9bca1764fce8ba0284b3258b44b491103bc4ab7", "created_at": "2026-11-01T15:40:46Z", "updated_at": "2026-11-01T22:00:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "SNAI2 3'untranslated region promotes the invasion of ovarian cancer cells by inducing MARCKS expression.", "doi": "10.7150/jca.29489", "pmid": "31258754", "authors": ["Jun Li", "Jieyu Wang", "Huiran Yue", "Xin Lu"], "journal": "Journal of Cancer", "year": 2019, "abstract": "Objective: Recently, accumulating evidence has indicated that the 3' untranslated regions (3'UTRs) of protein coding genes play critical roles in the progression of various cancers, including ovarian cancer. This study is aimed to identify the potential role of SNAI2-3'UTR in ovarain cancer progression. Study Design: First, we tried to explore the clinical significance of SNAI2 in ovarian cancer using TCGA and GSE26712 dataset. Then, gain-of-function studies were performed to establish the role of SNAI2-3'UTR in invasion and migration of ovarian cancer cells. Finally, efforts were made to identify the downstream targets of SNAI2-3'UTR. Results: Our data indicated that the expression of SNAI2 was significantly correlated with FIGO stage (P=0.015) and lymphatic invasion status (P=0.004), whereas not with age(P>0.05) and histological grade(P>0.05). Patients with higher SNAI2 expression had a shorter overall survival (OS) in both TCGA dataset (P=0.039, HR=1.54(1.02-2.33)) and GSE26712 dataset (P=0.0017, HR=1.77(1.24-2.54)). Functional studies revealed that SNAI2-3'UTR promoted the invasion of both OVCA433 and SKOV-3 cells without significantly affecting their migratory abilities. MARCKS, which was also involved in the invasion of ovarian cancer cells, was identified as a potential downstream target of SNAI2-3'UTR. SNAI2-3'UTR may function as a ceRNA to upregulate MARCKS expression in ovarian cancer. Conclusion: In conclusion, our study demonstrated that SNAI2-3'UTR cloud promote the invasion of ovarian cancer cells by upregulating MARCKS expression, which proposed a new mechanism by which SNAI2 contributed to progression of ovarian cancer.", "claims": [{"id": "claim-method", "statement": "The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31258754", "locator": "sections[12] \"2.10 Statistical analysis\" paragraph 2", "quote": "The Log-rank test was used to determine the relationship between SNAI2 expression and clinical outcomes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:31258754", "locator": "sections[3] \"2.1 TCGA datasets\" paragraph 2", "quote": "We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA dataset to analyze the association of SNAI2 expression with the clinicopathological features, and to determine the correlation between SNAI2 expression and MARCKS expression."}], "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:31258754"], "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:GSE26712"], "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:GSE26712"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:31258754", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.7150/jca.29489", "sha256": "sha256:d69035f681f3aa2dd0528e16537ce7b65375af446222c7f99c9845194944ddd8", "bytes": 24813, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.7150/jca.29489", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC6584344", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE26712", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE26712", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE26712", "version": null, "note": "We downloaded the level 3 Affymetrix HG-U133A gene expression data for SNAI2 and MARCKS from 208 patients with serous ovarian cancer in TCGA 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"note": "The relationship between SNAI2 expression and clinicopathological parameters in 208 primary ovarian cancer from TCGA datasets", "structure": {"pmcid": "PMC6584344", "section_index": 14, "section_title": "3.1 The relationship between SNAI2 expression and the clinicopathological parameters in ovarian cancer patients", "row_count": 14, "column_count": 5}, "table": {"label": "Table 1", "caption": "The relationship between SNAI2 expression and clinicopathological parameters in 208 primary ovarian cancer from TCGA datasets", "rows": [["Variables", "No. of patients", "SNAI2 expression", "P value"], ["Low, n(%)", "High, n(%)"], ["Age (years)", "", "", "", "0.325"], ["≤60", "121", "57(47.1%)", "64(52.9%)"], [">60", "87", "47(54.0%)", "40(46.0%)"], ["Histologic grade", "", "", "", "0.149"], ["G1/G2", "27", "17(63.0%)", "10(37.0%)"], ["G3", "181", "87(48.1%)", "94(51.9%)"], ["FIGO stage", "", "", "", "0.015"], ["I-II", "23", "17(73.9%)", "6(26.1%)"], ["III-IV", "185", "87(47.0%)", 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