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pmid:35637857

Identification of Three Genes Associated with Metastasis in Melanoma and Construction of a Predictive Model: A Multiracial Identification.

Ying Chen · Dan Wang · Qingyun Li · Yiyi Zhang · Zheng Peng · Yu He · Bin Lin · Meifang Xu · Qiong Chen · Yang Chen

Journal of oncology · 2022 doi:10.1155/2022/4567063

Paper

complete

Experiment

complete

Data

partial

Analysis

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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:35637857
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science-record
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sha256:7cfab825d7ac5c4de74456201e5658256ecbced12f838ef48d38a5c81b956b82
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T18:14:33Z
updated_at
2026-11-01T22:06:38Z
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paper object · 10 fields
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title
Identification of Three Genes Associated with Metastasis in Melanoma and Construction of a Predictive Model: A Multiracial Identification.
doi
10.1155/2022/4567063
pmid
35637857
authors array · 10 items
[0]
Ying Chen
[1]
Dan Wang
[2]
Qingyun Li
[3]
Yiyi Zhang
[4]
Zheng Peng
[5]
Yu He
[6]
Bin Lin
[7]
Meifang Xu
[8]
Qiong Chen
[9]
Yang Chen
journal
Journal of oncology
year
2022
abstract
The aim of this study was to identify hub genes associated with metastasis and prognosis in melanoma. Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes. ROC and K-M analyses were used to verify the hub genes in the internal and external data sets. The risk score model and nomogram model were constructed based on the IHC result. Through WGCNA, the three hub genes, SNRPD2, SNRPD3, and EIF4A3, were identified. In the external data set, the hub genes identified were associated with the worse prognosis (TCGA, SNRPD2, P ≤ 0.02; SNRPD3, P = 0.12; EIF4A3, P = 0.11; GSE65904, SNRPD2, P = 0.04; SNRPD3, P = 0.10; EIF4A3, P < 0.01; GSE19234, SNRPD2, P < 0.01; SNRPD3, P < 0.01; EIF4A3, P < 0.01). In the GSE8401, we found that the hub genes were highly expressed in the metastasis compared with the nonmetastasis group (SNRPD2, 988.5 ± 47.83 vs. 738.4 ± 35.35, P < 0.01; SNRPD3, 502.7 ± 25.7 vs. 416.4 ± 23.88, P = 0.02; EIF4A3, 567.6 ± 19.56 vs. 495.2 ± 21.1, P = 0.01). Moreover, the hub genes were identified by the IHC in our data set. The result was similar with the external data set. The hub genes could predict the metastasis and prognosis in the Chinese MM patients. Finally, the GSEA and Pearson analysis demonstrated that the SNRPD2 was associated with the immunotherapy. The three hub genes were identified and validated in MM patients in external and internal data sets. The risk factor model was constructed and verified as a powerful model to predict metastasis and prognosis in MM patients.
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Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes.
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Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes.
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The data generated or analyzed during this study are available from the corresponding author upon reasonable request.
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sections[23] "Data Availability" paragraph 2
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The data generated or analyzed during this study are available from the corresponding author upon reasonable request.
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Weighted gene coexpression network analysis identified SNRPD2, SNRPD3, and EIF4A3 as hub genes associated with melanoma metastasis and prognosis.
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sections[0] "Abstract" paragraph 1
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Through WGCNA, the three hub genes, SNRPD2, SNRPD3, and EIF4A3, were identified.
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complete
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Weighted gene coexpression network analysis identified SNRPD2, SNRPD3, and EIF4A3 as hub genes associated with melanoma metastasis and prognosis.
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Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival.
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Weighted gene coexpression network analysis (WGCNA)
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score
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verbatim
quote
Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes.
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capability object · 3 fields
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complete
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candidate
Automated Assays Laravel application and simulated adapters
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basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: anova.
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
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GSE8401
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GSE19234
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GSE65904
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The data generated or analyzed during this study are available from the corresponding author upon reasonable request.
basis
The paper names GSE8401, GSE19234, GSE65904 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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review object · 5 fields
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MiniMax-M3.1-Flash
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minimax
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single_reader
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PMID 35637857 full text
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data:geo:GSE19234
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GEO GSE19234
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PMID 35637857 full text
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data:geo:GSE19234
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dataset
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GEO GSE19234
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agent:corpus-assay-engine
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agent:minimax-reader
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activity-resolve-GSE19234
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nomogram model were constructed based on the IHC result. Through WGCNA, the three hub genes,
[1]
reover, the hub genes were identified by the IHC in our data set. The result was similar with
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35637857", "kind": "science-record", "revision": 4, "content_hash": "sha256:7cfab825d7ac5c4de74456201e5658256ecbced12f838ef48d38a5c81b956b82", "created_at": "2026-11-01T18:14:33Z", "updated_at": "2026-11-01T22:06:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Three Genes Associated with Metastasis in Melanoma and Construction of a Predictive Model: A Multiracial Identification.", "doi": "10.1155/2022/4567063", "pmid": "35637857", "authors": ["Ying Chen", "Dan Wang", "Qingyun Li", "Yiyi Zhang", "Zheng Peng", "Yu He", "Bin Lin", "Meifang Xu", "Qiong Chen", "Yang Chen"], "journal": "Journal of oncology", "year": 2022, "abstract": "The aim of this study was to identify hub genes associated with metastasis and prognosis in melanoma. Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes. ROC and K-M analyses were used to verify the hub genes in the internal and external data sets. The risk score model and nomogram model were constructed based on the IHC result. Through WGCNA, the three hub genes, SNRPD2, SNRPD3, and EIF4A3, were identified. In the external data set, the hub genes identified were associated with the worse prognosis (TCGA, SNRPD2, P ≤ 0.02; SNRPD3, P = 0.12; EIF4A3, P = 0.11; GSE65904, SNRPD2, P = 0.04; SNRPD3, P = 0.10; EIF4A3, P < 0.01; GSE19234, SNRPD2, P < 0.01; SNRPD3, P < 0.01; EIF4A3, P < 0.01). In the GSE8401, we found that the hub genes were highly expressed in the metastasis compared with the nonmetastasis group (SNRPD2, 988.5 ± 47.83 vs. 738.4 ± 35.35, P < 0.01; SNRPD3, 502.7 ± 25.7 vs. 416.4 ± 23.88, P = 0.02; EIF4A3, 567.6 ± 19.56 vs. 495.2 ± 21.1, P = 0.01). Moreover, the hub genes were identified by the IHC in our data set. The result was similar with the external data set. The hub genes could predict the metastasis and prognosis in the Chinese MM patients. Finally, the GSEA and Pearson analysis demonstrated that the SNRPD2 was associated with the immunotherapy. The three hub genes were identified and validated in MM patients in external and internal data sets. The risk factor model was constructed and verified as a powerful model to predict metastasis and prognosis in MM patients.", "claims": [{"id": "claim-method", "statement": "Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35637857", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data generated or analyzed during this study are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35637857", "locator": "sections[23] \"Data Availability\" paragraph 2", "quote": "The data generated or analyzed during this study are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Weighted gene coexpression network analysis identified SNRPD2, SNRPD3, and EIF4A3 as hub genes associated with melanoma metastasis and prognosis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35637857", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Through WGCNA, the three hub genes, SNRPD2, SNRPD3, and EIF4A3, were identified."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Weighted gene coexpression network analysis identified SNRPD2, SNRPD3, and EIF4A3 as hub genes associated with melanoma metastasis and prognosis.", "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:35637857"], "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:GSE19234"], "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:GSE19234"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35637857", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/4567063", "sha256": 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