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pmid:34650124

GNG7 and ADCY1 as diagnostic and prognostic biomarkers for pancreatic adenocarcinoma through bioinformatic-based analyses.

Youfu Zhang · Jinran Yang · Xuyang Wang · Xinchang Li

Scientific reports · 2021 doi:10.1038/s41598-021-99544-x

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:34650124
kind
science-record
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sha256:9e8d7e9f5bfbd00f1cc93736cbe9408492b7f7099c46d793cb6a3c85f39ac64b
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T17:36:18Z
updated_at
2026-11-01T22:47:43Z
generator object · 2 fields
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paper object · 10 fields
state
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title
GNG7 and ADCY1 as diagnostic and prognostic biomarkers for pancreatic adenocarcinoma through bioinformatic-based analyses.
doi
10.1038/s41598-021-99544-x
pmid
34650124
authors array · 4 items
[0]
Youfu Zhang
[1]
Jinran Yang
[2]
Xuyang Wang
[3]
Xinchang Li
journal
Scientific reports
year
2021
abstract
Pancreatic adenocarcinoma (PAAD) is one of the most lethal malignant tumors in the world. The GSE55643 and GSE15471 microarray datasets were downloaded to screen the diagnostic and prognostic biomarkers for PAAD. 143 downregulated genes and 118 upregulated genes were obtained. Next, we performed gene ontology (GO) and The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on these genes and constructed a protein-protein interaction (PPI) network. We screened out two important clusters of genes, including 13 upregulated and 5 downregulated genes. After the survival analysis, 3 downregulated genes and 10 upregulated genes were identified as the selected key genes. The KEGG analysis on 13 selected genes showed that GNG7 and ADCY1 enriched in the Pathway in Cancer. Next, the diagnostic and prognostic value of GNG7 and ADCY1 was investigated using independent cohort of the Cancer Genome Atlas (TCGA), GSE84129 and GSE62452. We observed that the expression of the GNG7 and ADCY1 was decreased in PAAD. The diagnostic receiver operating characteristic (ROC) analysis indicated that the GNG7 and ADCY1 could serve as sensitive diagnostic markers in PAAD. Survival analysis suggested that expression of GNG7, ADCY1 were significantly associated with PAAD overall survival (OS). The multivariate cox regression analysis showed that the expression of GNG7, ADCY1 were independent risk factors for PAAD OS. Our study indicated GNG7 and ADCY1 may be potential diagnostic and prognostic biomarkers in patients with PAAD.
claims array · 3 items
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We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue.
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methodological
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null
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sections[4] "Identification of DEGs" paragraph 2
quote
We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue.
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complete
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All datasets generated for this study are available within the article.
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sections[22] "Data availability" paragraph 2
quote
All datasets generated for this study are available within the article.
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complete
[2] object · 6 fields
id
claim-target-result
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143 downregulated genes and 118 upregulated genes were obtained.
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qualitative
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null
evidence array · 1 item
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sections[0] "Abstract" paragraph 1
quote
143 downregulated genes and 118 upregulated genes were obtained.
state
complete
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experiment object · 8 fields
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complete
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143 downregulated genes and 118 upregulated genes were obtained.
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[0] object · 13 fields
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the published estimate and its evidence
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The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
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the source data with its repository provenance
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Run the published analysis
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Apply the paper's statistical method to the resolved series and compare the result with the published target.
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https://doi.org/10.1038/s41598-021-99544-x
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10.1038/s41598-021-99544-x
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GSM388142
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GSM388143
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GSM388144
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GSM388145
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GSM388146
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GSM388147
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GSM388148
[73]
GSM388149
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GSM388150
[75]
GSM388151
[76]
GSM388152
[77]
GSM388153
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78
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null
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null
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570
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Homo sapiens
title
Whole-Tissue Gene Expression Study of Pancreatic Ductal Adenocarcinoma
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2026-11-01T15:39:54Z
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null
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null
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null
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All datasets generated for this study are available within the article.
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GEO accession URL
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All datasets generated for this study are available within the article.
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data_availability_statement
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GSM1340960
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GSM1340962
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GSM1340963
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GSM1340973
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GSM1340978
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GSM1340979
[26]
GSM1340980
[27]
GSM1340981
[28]
GSM1340982
[29]
GSM1340983
[30]
GSM1340984
[31]
GSM1340985
[32]
GSM1340986
[33]
GSM1340987
[34]
GSM1340988
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GSM1340989
[36]
GSM1340990
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GSM1340991
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GSM1340992
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GSM1340993
[40]
GSM1340994
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GSM1340995
[42]
GSM1340996
[43]
GSM1340997
[44]
GSM1340998
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GSM1340999
[46]
GSM1341000
[47]
GSM1341001
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GSM1341002
[49]
GSM1341003
[50]
GSM1341004
[51]
GSM1341005
[52]
GSM1341006
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53
group_sizes
null
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null
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6480
taxon
Homo sapiens
title
Gene expression in pancreatic ductal adenocarcinoma
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
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[3] object · 15 fields
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null
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null
access
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null
note
All datasets generated for this study are available within the article.
structure object · 15 fields
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GEO accession URL
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All datasets generated for this study are available within the article.
access_statement_kind
data_availability_statement
sample_accessions array · 130 items
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GSM1527109
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GSM1527112
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GSM1527113
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GSM1527115
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GSM1527117
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GSM1527118
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GSM1527119
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GSM1527120
[16]
GSM1527121
[17]
GSM1527122
[18]
GSM1527123
[19]
GSM1527124
[20]
GSM1527125
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GSM1527126
[22]
GSM1527127
[23]
GSM1527128
[24]
GSM1527129
[25]
GSM1527130
[26]
GSM1527131
[27]
GSM1527132
[28]
GSM1527133
[29]
GSM1527134
[30]
GSM1527135
[31]
GSM1527136
[32]
GSM1527137
[33]
GSM1527138
[34]
GSM1527139
[35]
GSM1527140
[36]
GSM1527141
[37]
GSM1527142
[38]
GSM1527143
[39]
GSM1527144
[40]
GSM1527145
[41]
GSM1527146
[42]
GSM1527147
[43]
GSM1527148
[44]
GSM1527149
[45]
GSM1527150
[46]
GSM1527151
[47]
GSM1527152
[48]
GSM1527153
[49]
GSM1527154
[50]
GSM1527155
[51]
GSM1527156
[52]
GSM1527157
[53]
GSM1527158
[54]
GSM1527159
[55]
GSM1527160
[56]
GSM1527161
[57]
GSM1527162
[58]
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[59]
GSM1527164
[60]
GSM1527165
[61]
GSM1527166
[62]
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[63]
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[64]
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[65]
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[67]
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[68]
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[71]
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[74]
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sample_count
130
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null
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null
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6244
taxon
Homo sapiens
title
Microarray gene-expression profiles of 69 pancreatic tumors and 61 adjacent non-tumor tissue from patients with pancreatic ductal adenocarcinoma
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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All datasets generated for this study are available within the article.
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GEO accession URL
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data_availability_statement
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GSM3901655
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14
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null
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null
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17021
taxon
Mus musculus
title
CHD7 and Runx1 interaction provides a braking mechanism for hematopoietic differentiation [G1ER ChIP-seq]
resolution_checked_at
2026-11-01T17:30:42Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
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asset:data:geo:GSE62452 not downloaded
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asset:data:geo:GSE62452 licence not read
[6]
asset:data:geo:GSE84129 not downloaded
[7]
asset:data:geo:GSE84129 licence not read
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1
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quote
We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue.
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capability object · 3 fields
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candidate
Automated Assays Laravel application and simulated adapters
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complete
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
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data object · 6 fields
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[0]
GSE55643
[1]
GSE15471
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GSE84129
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GSE55643
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GSE84129
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GSE62452
statements array · 1 item
[0]
All datasets generated for this study are available within the article.
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The paper names GSE55643, GSE15471, GSE84129, GSE62452 in Gene Expression Omnibus (GEO) database and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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MiniMax-M3.1-Flash
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minimax
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minimax
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data:geo:GSE15471
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GEO GSE15471
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pmid:34650124
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PMID 34650124 full text
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GEO GSE15471
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We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34650124", "kind": "science-record", "revision": 5, "content_hash": "sha256:9e8d7e9f5bfbd00f1cc93736cbe9408492b7f7099c46d793cb6a3c85f39ac64b", "created_at": "2026-11-01T17:36:18Z", "updated_at": "2026-11-01T22:47:43Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "GNG7 and ADCY1 as diagnostic and prognostic biomarkers for pancreatic adenocarcinoma through bioinformatic-based analyses.", "doi": "10.1038/s41598-021-99544-x", "pmid": "34650124", "authors": ["Youfu Zhang", "Jinran Yang", "Xuyang Wang", "Xinchang Li"], "journal": "Scientific reports", "year": 2021, "abstract": "Pancreatic adenocarcinoma (PAAD) is one of the most lethal malignant tumors in the world. The GSE55643 and GSE15471 microarray datasets were downloaded to screen the diagnostic and prognostic biomarkers for PAAD. 143 downregulated genes and 118 upregulated genes were obtained. Next, we performed gene ontology (GO) and The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on these genes and constructed a protein-protein interaction (PPI) network. We screened out two important clusters of genes, including 13 upregulated and 5 downregulated genes. After the survival analysis, 3 downregulated genes and 10 upregulated genes were identified as the selected key genes. The KEGG analysis on 13 selected genes showed that GNG7 and ADCY1 enriched in the Pathway in Cancer. Next, the diagnostic and prognostic value of GNG7 and ADCY1 was investigated using independent cohort of the Cancer Genome Atlas (TCGA), GSE84129 and GSE62452. We observed that the expression of the GNG7 and ADCY1 was decreased in PAAD. The diagnostic receiver operating characteristic (ROC) analysis indicated that the GNG7 and ADCY1 could serve as sensitive diagnostic markers in PAAD. Survival analysis suggested that expression of GNG7, ADCY1 were significantly associated with PAAD overall survival (OS). The multivariate cox regression analysis showed that the expression of GNG7, ADCY1 were independent risk factors for PAAD OS. Our study indicated GNG7 and ADCY1 may be potential diagnostic and prognostic biomarkers in patients with PAAD.", "claims": [{"id": "claim-method", "statement": "We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34650124", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "We utilized the R software and built-in limma packages (version 3.22.1; Fred Hutchinson Cancer Research Center) to perform DEGs analysis between the primary tumor tissue of PAAD patients and the paired adjacent non-malignant tissue."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All datasets generated for this study are available within the article.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34650124", "locator": "sections[22] \"Data availability\" paragraph 2", "quote": "All datasets generated for this study are available within the article."}], "state": "complete"}, {"id": "claim-target-result", "statement": "143 downregulated genes and 118 upregulated genes were obtained.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34650124", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "143 downregulated genes and 118 upregulated genes were obtained."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "143 downregulated genes and 118 upregulated genes were obtained.", "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:34650124"], "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:GSE15471"], "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:GSE15471"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34650124", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1038/s41598-021-99544-x", "sha256": 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