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pmid:38077326

FANCI serve as a prognostic biomarker correlated with immune infiltrates in skin cutaneous melanoma.

Zhenguo Cai · Yanjuan Duan · Wen Li · Zhuohang Liu · Zijun Gong · Sheng Hong · Xu He · Xinyang Xuanyuan · Youdong Chen · Xinling Bi · Wuqing Wang

Frontiers in immunology · 2023 doi:10.3389/fimmu.2023.1295831

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:38077326
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paper object · 10 fields
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title
FANCI serve as a prognostic biomarker correlated with immune infiltrates in skin cutaneous melanoma.
doi
10.3389/fimmu.2023.1295831
pmid
38077326
authors array · 11 items
[0]
Zhenguo Cai
[1]
Yanjuan Duan
[2]
Wen Li
[3]
Zhuohang Liu
[4]
Zijun Gong
[5]
Sheng Hong
[6]
Xu He
[7]
Xinyang Xuanyuan
[8]
Youdong Chen
[9]
Xinling Bi
[10]
Wuqing Wang
journal
Frontiers in immunology
year
2023
abstract
Background: As a member of tumor, Skin cutaneous melanoma (SKCM) poses a serious threat to people's health because of its strong malignancy. Unfortunately, effective treatment methods for SKCM remain lacking. FANCI plays a vital role in the occurrence and metastasis of various tumor types. However, its regulatory role in SKCM is unclear. The purpose of this study was to explore the association of FANCI with SKCM. Methods: This study investigated the expression of FANCI in GSE46517, GSE15605, and GSE114445 from the Gene Expression Omnibus database and The Cancer Genome Atlas (TCGA)-SKCM datasets using the package "limma" or "DESeq2" in R environment and also investigated the prognostic significance of FANCI by utilizing the GEPIA database. Additionally, our research made use of real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further analyze the function of FANCI. Finally, this study analyzed the correlation of FANCI and tumor-infiltrating immune cells by CIBERSORT, ESTIMATE, and ssGSEA algorithms. Results: The FANCI level was increasing in SKCM tissues from GSE46517, GSE15605, GSE114445, and TCGA-SKCM. However, high FANCI expression correlated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Knocking down FANCI suppresses A375 and A875 cell proliferation, migration, and invasion. FANCI could be involved in the immunological milieu of SKCM by regulating immune responses and infiltrating numerous immune cells, particularly neutrophils, CD8+ T cells, and B cells. Furthermore, patients with SKCM who have a high FANCI expression level are reported to exhibit immunosuppression, whereas those with a low FANCI expression level are more likely to experience positive outcomes from immunotherapy. Conclusions: The increased FANCI expression in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progression of SKCM. The FANCI expression provides a foundation for predicting the immune status and treatment of SKCM.
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We generated Kaplan–Meier curves using the TIMER database to display immune cell infiltration and FANCI expression in SKCM.
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sections[22] "FANCI may regulate immune microenvironment of SKCM" paragraph 2
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We generated Kaplan–Meier curves using the TIMER database to display immune cell infiltration and FANCI expression in SKCM.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .
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Progressive immune activation and negative immunoregulation from common melanocytic nevi to dysplastic nevi to melanoma
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Transcriptome profiling identifies HMGA2 as a novel gene in melanoma progression
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time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to v
[1]
n correlated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinforma
[2]
e quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to v
[3]
orrelated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinforma
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tive polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression be
[1]
reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between
[2]
with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Kn
order_basis
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en SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further a
[1]
ssion in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progress
order_basis
paper_text_order:1019
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Materials and methods Cell culture We cultured A375 and A875 cells in Dulbecco’s Modified E
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38077326", "kind": "science-record", "revision": 3, "content_hash": "sha256:73ad1c1e87a8a08e14dcf7b3a2f7b49946f3059afbef000b6e024e2e2418c4eb", "created_at": "2026-11-01T19:03:01Z", "updated_at": "2026-11-01T22:10:51Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "FANCI serve as a prognostic biomarker correlated with immune infiltrates in skin cutaneous melanoma.", "doi": "10.3389/fimmu.2023.1295831", "pmid": "38077326", "authors": ["Zhenguo Cai", "Yanjuan Duan", "Wen Li", "Zhuohang Liu", "Zijun Gong", "Sheng Hong", "Xu He", "Xinyang Xuanyuan", "Youdong Chen", "Xinling Bi", "Wuqing Wang"], "journal": "Frontiers in immunology", "year": 2023, "abstract": "Background: As a member of tumor, Skin cutaneous melanoma (SKCM) poses a serious threat to people's health because of its strong malignancy. Unfortunately, effective treatment methods for SKCM remain lacking. FANCI plays a vital role in the occurrence and metastasis of various tumor types. However, its regulatory role in SKCM is unclear. The purpose of this study was to explore the association of FANCI with SKCM.\nMethods: This study investigated the expression of FANCI in GSE46517, GSE15605, and GSE114445 from the Gene Expression Omnibus database and The Cancer Genome Atlas (TCGA)-SKCM datasets using the package \"limma\" or \"DESeq2\" in R environment and also investigated the prognostic significance of FANCI by utilizing the GEPIA database. Additionally, our research made use of real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further analyze the function of FANCI. Finally, this study analyzed the correlation of FANCI and tumor-infiltrating immune cells by CIBERSORT, ESTIMATE, and ssGSEA algorithms.\nResults: The FANCI level was increasing in SKCM tissues from GSE46517, GSE15605, GSE114445, and TCGA-SKCM. However, high FANCI expression correlated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Knocking down FANCI suppresses A375 and A875 cell proliferation, migration, and invasion. FANCI could be involved in the immunological milieu of SKCM by regulating immune responses and infiltrating numerous immune cells, particularly neutrophils, CD8+ T cells, and B cells. Furthermore, patients with SKCM who have a high FANCI expression level are reported to exhibit immunosuppression, whereas those with a low FANCI expression level are more likely to experience positive outcomes from immunotherapy.\nConclusions: The increased FANCI expression in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progression of SKCM. The FANCI expression provides a foundation for predicting the immune status and treatment of SKCM.", "claims": [{"id": "claim-method", "statement": "We generated Kaplan–Meier curves using the TIMER database to display immune cell infiltration and FANCI expression in SKCM.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38077326", "locator": "sections[22] \"FANCI may regulate immune microenvironment of SKCM\" paragraph 2", "quote": "We generated Kaplan–Meier curves using the TIMER database to display immune cell infiltration and FANCI expression in SKCM."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE114445"], "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:GSE114445"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38077326", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2023.1295831", "sha256": "sha256:69bc0a1132f0cb9aabc7a49445b7959b70bd1655496919e13b22045b42e444c7", "bytes": 46896, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2023.1295831", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10703153", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE114445", "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=GSE114445", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE114445", "version": null, "note": "The datasets presented in this study can be found in online repositories. 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The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material .", "access_statement_kind": "data_availability_statement", "sample_accessions": ["GSM3141811", "GSM3141812", "GSM3141813", "GSM3141814", "GSM3141815", "GSM3141816", "GSM3141817", "GSM3141818", "GSM3141819", "GSM3141820", "GSM3141821", "GSM3141822", "GSM3141823", "GSM3141824", "GSM3141825", "GSM3141826", "GSM3141827", "GSM3141828", "GSM3141862", "GSM3141863", "GSM3141864", "GSM3141865", "GSM3141866", "GSM3141867", "GSM3141868", "GSM3141869", "GSM3141870", "GSM3141871", "GSM3141872", "GSM3141873", "GSM3141874", "GSM3141875", "GSM3141876", "GSM3141877"], "sample_count": 34, "group_sizes": null, "group_sizes_basis": null, "platform": "570", "taxon": "Homo sapiens", "title": "Progressive immune activation and negative immunoregulation from common melanocytic nevi to dysplastic nevi to melanoma", "resolution_checked_at": "2026-11-01T18:06:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE15605", "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=GSE15605", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE15605", "version": null, "note": "The datasets presented in this study can be found in online repositories. 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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": ["GSE46517", "GSE15605", "GSE114445"], "resolved_accessions": ["GSE46517", "GSE15605", "GSE114445"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/ Supplementary Material ."], "basis": "The paper names GSE46517, GSE15605, GSE114445 in Gene Expression Omnibus and the accession resolves in the repository. 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The RT-qPCR and IHC confirmed the accuracy of bioinforma", "e quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to v", "orrelated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinforma"], "order_basis": "paper_text_order:894", "id": "assay:1"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["tive polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression be", "reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between", "with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Kn"], "order_basis": "paper_text_order:907", "id": "assay:2"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["en SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further a", "ssion in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progress"], "order_basis": "paper_text_order:1019", "id": "assay:3"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["Materials and methods Cell culture We cultured A375 and A875 cells in Dulbecco’s Modified E"], "order_basis": "paper_text_order:2277", "id": "assay:4"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.7, "evidence": ["DESeq2"], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}