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pmid:36499755

GOLM1 and FAM49B: Potential Biomarkers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis.

Yue Xi · Tiange Zhang · Wei Sun · Ruobing Liang · Sridha Ganesh · Honglei Chen

International journal of molecular sciences · 2022 doi:10.3390/ijms232315433

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36499755
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paper object · 10 fields
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title
GOLM1 and FAM49B: Potential Biomarkers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis.
doi
10.3390/ijms232315433
pmid
36499755
authors array · 6 items
[0]
Yue Xi
[1]
Tiange Zhang
[2]
Wei Sun
[3]
Ruobing Liang
[4]
Sridha Ganesh
[5]
Honglei Chen
journal
International journal of molecular sciences
year
2022
abstract
Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. We aimed to identify potential genetic markers that could predict the prognosis of HNSCC. A total of 44 samples of GSE83519 from Gene Expression Omnibus (GEO) datasets and 546 samples of HNSCC from The Cancer Genome Atlas (TCGA) were adopted. The differently expressed genes (DEGs) of the samples were screened by GEO2R. We integrated the expression information of DEGs with clinical data from GES42743 using the weighted gene co-expression network analysis (WGCNA). A total of 17 hub genes were selected by the module membership (|MM| > 0.8), and the gene significance (|GS| > 0.3) was selected from the turquoise module. GOLM1 and FAM49B genes were chosen based on single-gene analysis results. Survival analysis showed that the higher expression of GOLM1 and FAM49B genes was correlated with a worse prognosis of HNSCC patients. Immunohistochemistry and multiplex immunofluorescence techniques verified that GOLM1 and FAM49B genes were highly expressed in HNSCC cells, and high expressions of GOLM1 were associated with the pathological grades of HNSCC. In conclusion, our study illustrated a new insight that GOLM1 and FAM49B genes might be used as potential biomarkers to determine the development of HNSCC, while GOLM1 and FAM49B have the possibility to be prognostic indicators for HNSCC.
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To evaluate the prognostic value of the screened candidate genes, the overall survival rate (OS) was determined by the Kaplan–Meier curve with the log-rank test and was conducted and plotted by the survival R package. All clinical information used for survival analysis was derived from TCGA.
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sections[20] "4.5. Survival Analysis of Hub Genes" paragraph 2
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To evaluate the prognostic value of the screened candidate genes, the overall survival rate (OS) was determined by the Kaplan–Meier curve with the log-rank test and was conducted and plotted by the survival R package. All clinical information used for survival analysis was derived from TCGA.
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Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021.
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sections[35] "Data Availability Statement" paragraph 2
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Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021.
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The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients.
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sections[7] "2.5. Prognostic Value of GOLM1 and FAM49B in HNSCC" paragraph 2
quote
The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients.
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The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients.
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Oral Cavity Cancer Compared to Adjacent "Normal" Tissue [Validation Set]
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markers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis.
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ed with a worse prognosis of HNSCC patients. Immunohistochemistry and multiplex immunofluorescence techniques
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patients. Immunohistochemistry and multiplex immunofluorescence techniques verified that GOLM1 and FAM49B ge
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36499755", "kind": "science-record", "revision": 3, "content_hash": "sha256:4c759cff6f1e2471de58f2d93b3dde4f7816b9e22e401a1dcf21d99a73492bb8", "created_at": "2026-11-01T19:00:59Z", "updated_at": "2026-11-01T22:08:17Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "GOLM1 and FAM49B: Potential Biomarkers in HNSCC Based on Bioinformatics and Immunohistochemical Analysis.", "doi": "10.3390/ijms232315433", "pmid": "36499755", "authors": ["Yue Xi", "Tiange Zhang", "Wei Sun", "Ruobing Liang", "Sridha Ganesh", "Honglei Chen"], "journal": "International journal of molecular sciences", "year": 2022, "abstract": "Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. We aimed to identify potential genetic markers that could predict the prognosis of HNSCC. A total of 44 samples of GSE83519 from Gene Expression Omnibus (GEO) datasets and 546 samples of HNSCC from The Cancer Genome Atlas (TCGA) were adopted. The differently expressed genes (DEGs) of the samples were screened by GEO2R. We integrated the expression information of DEGs with clinical data from GES42743 using the weighted gene co-expression network analysis (WGCNA). A total of 17 hub genes were selected by the module membership (|MM| > 0.8), and the gene significance (|GS| > 0.3) was selected from the turquoise module. GOLM1 and FAM49B genes were chosen based on single-gene analysis results. Survival analysis showed that the higher expression of GOLM1 and FAM49B genes was correlated with a worse prognosis of HNSCC patients. Immunohistochemistry and multiplex immunofluorescence techniques verified that GOLM1 and FAM49B genes were highly expressed in HNSCC cells, and high expressions of GOLM1 were associated with the pathological grades of HNSCC. In conclusion, our study illustrated a new insight that GOLM1 and FAM49B genes might be used as potential biomarkers to determine the development of HNSCC, while GOLM1 and FAM49B have the possibility to be prognostic indicators for HNSCC.", "claims": [{"id": "claim-method", "statement": "To evaluate the prognostic value of the screened candidate genes, the overall survival rate (OS) was determined by the Kaplan–Meier curve with the log-rank test and was conducted and plotted by the survival R package. All clinical information used for survival analysis was derived from TCGA.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36499755", "locator": "sections[20] \"4.5. Survival Analysis of Hub Genes\" paragraph 2", "quote": "To evaluate the prognostic value of the screened candidate genes, the overall survival rate (OS) was determined by the Kaplan–Meier curve with the log-rank test and was conducted and plotted by the survival R package. All clinical information used for survival analysis was derived from TCGA."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36499755", "locator": "sections[35] \"Data Availability Statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36499755", "locator": "sections[7] \"2.5. Prognostic Value of GOLM1 and FAM49B in HNSCC\" paragraph 2", "quote": "The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The high GOLM1 expression group (p = 0.05, Figure 3A) and high FAM49B expression group (p = 0.039, Figure 3B) were significantly correlated with worse 10-year overall survival, which indicated the predictive value of high GOLM1 expression and high FAM49B expression for lower survival in HNSCC patients.", "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:36499755"], "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:GSE42743"], "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:GSE42743"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:36499755", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/ijms232315433", "sha256": "sha256:b4baa993b97f5eb32693b208fef4ff3abb12ee3bf5a7ef2fa49799bc10f05e5a", "bytes": 51811, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/ijms232315433", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC9737887", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE42743", "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=GSE42743", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE42743", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. 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This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE83519", "GSE42743"], "resolved_accessions": ["GSE83519", "GSE42743"], "statements": ["Publicly available datasets were analyzed in this study. This data can be found here: https://portal.gdc.cancer.gov/, https://www.ncbi.nlm.nih.gov/geo/, http://gepia2.cancer-pku.cn/, accessed on 21 January 2021."], "basis": "The paper names GSE83519, GSE42743 in GENE EXPRESSION OMNIBUS and the accession resolves in the repository. 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