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pmid:34630524

Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.

Jing Yu · Lei-Lei Liang · Jing Liu · Ting-Ting Liu · Jian Li · Lin Xiu · Jia Zeng · Tian-Tian Wang · Di Wang · Li-Jun Liang · Da-Wei Xie · Ding-Xiong Chen · Ju-Sheng An · Ling-Ying Wu

Frontiers in genetics · 2021 doi:10.3389/fgene.2021.733715

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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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title
Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.
doi
10.3389/fgene.2021.733715
pmid
34630524
authors array · 14 items
[0]
Jing Yu
[1]
Lei-Lei Liang
[2]
Jing Liu
[3]
Ting-Ting Liu
[4]
Jian Li
[5]
Lin Xiu
[6]
Jia Zeng
[7]
Tian-Tian Wang
[8]
Di Wang
[9]
Li-Jun Liang
[10]
Da-Wei Xie
[11]
Ding-Xiong Chen
[12]
Ju-Sheng An
[13]
Ling-Ying Wu
journal
Frontiers in genetics
year
2021
abstract
Background: 5-Methylcytidine (m5C) is the most common RNA modification and plays an important role in multiple tumors including cervical cancer (CC). We aimed to develop a novel gene signature by identifying m5C modification subtypes of CC to better predict the prognosis of patients. Methods: We obtained the expression of 13 m5C regulatory factors from The Cancer Genome Atlas (TCGA all set, 257 patients) to determine m5C modification subtypes by the "nonnegative matrix factorization" (NMF). Then the "limma" package was used to identify differentially expressed genes (DEGs) between different subtypes. According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients). We also verified the risk prediction effect of gene signature in TCGA test set (129 patients), TCGA all set (257 patients) and GSE44001 (300 patients). Furthermore, a nomogram including this gene signature and clinicopathological parameters was established to predict the individual survival rate. Finally, the expression and function of these signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, migration and invasion assays. Results: Based on consistent clustering of 13 m5C-modified genes, CC was divided into two subtypes (C1 and C2) and the C1 subtype had a worse prognosis. The 4-gene signature comprising FNDC3A, VEGFA, OPN3 and CPE was constructed. In TCGA training set and three validation sets, we found the prognosis of patients in the low-risk group was much better than that in the high-risk group. A nomogram incorporating the gene signature and T stage was constructed, and the calibration plot suggested that it could accurately predict the survival rate. The expression levels of FNDC3A, VEGFA, OPN3 and CPE were all high in cervical cancer tissues. Downregulation of FNDC3A, VEGFA or CPE expression suppressed the proliferation, migration and invasion of SiHa cells. Conclusions: Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC.
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According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients).
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The study identified two m5C modification subtypes of cervical cancer and established a four-gene prognostic signature comprising FNDC3A, VEGFA, OPN3 and CPE.
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Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC.
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se signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, m
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e explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, migrat
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l lead to better decisions. Cell Culture and Transfection The human CC cell line SiHa was provided by
[1]
ditional file 1: Supplementary Table S3. The transfection method was described in our previous article
[2]
O2 in a humidified incubator. Human specific siRNA sequences are shown in Additional file 1: Su
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e Cell Resource Center, IBMS, CAMS/PUMC. The cell lines were cultured in DMEM medium supplemented with 10% fetal b
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Center, IBMS, CAMS/PUMC. The cell lines were cultured in DMEM medium supplemented with 10% fetal bovi
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According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients).
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34630524", "kind": "science-record", "revision": 5, "content_hash": "sha256:e47b3bc0d0e875d9ead553f13bc824ade40958a367eb5b3b4eda4665de331cef", "created_at": "2026-11-01T17:36:16Z", "updated_at": "2026-11-01T22:47:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development and Validation of a Novel Gene Signature for Predicting the Prognosis by Identifying m5C Modification Subtypes of Cervical Cancer.", "doi": "10.3389/fgene.2021.733715", "pmid": "34630524", "authors": ["Jing Yu", "Lei-Lei Liang", "Jing Liu", "Ting-Ting Liu", "Jian Li", "Lin Xiu", "Jia Zeng", "Tian-Tian Wang", "Di Wang", "Li-Jun Liang", "Da-Wei Xie", "Ding-Xiong Chen", "Ju-Sheng An", "Ling-Ying Wu"], "journal": "Frontiers in genetics", "year": 2021, "abstract": "Background: 5-Methylcytidine (m5C) is the most common RNA modification and plays an important role in multiple tumors including cervical cancer (CC). We aimed to develop a novel gene signature by identifying m5C modification subtypes of CC to better predict the prognosis of patients. Methods: We obtained the expression of 13 m5C regulatory factors from The Cancer Genome Atlas (TCGA all set, 257 patients) to determine m5C modification subtypes by the \"nonnegative matrix factorization\" (NMF). Then the \"limma\" package was used to identify differentially expressed genes (DEGs) between different subtypes. According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients). We also verified the risk prediction effect of gene signature in TCGA test set (129 patients), TCGA all set (257 patients) and GSE44001 (300 patients). Furthermore, a nomogram including this gene signature and clinicopathological parameters was established to predict the individual survival rate. Finally, the expression and function of these signature genes were explored by qRT-PCR, immunohistochemistry (IHC) and proliferation, colony formation, migration and invasion assays. Results: Based on consistent clustering of 13 m5C-modified genes, CC was divided into two subtypes (C1 and C2) and the C1 subtype had a worse prognosis. The 4-gene signature comprising FNDC3A, VEGFA, OPN3 and CPE was constructed. In TCGA training set and three validation sets, we found the prognosis of patients in the low-risk group was much better than that in the high-risk group. A nomogram incorporating the gene signature and T stage was constructed, and the calibration plot suggested that it could accurately predict the survival rate. The expression levels of FNDC3A, VEGFA, OPN3 and CPE were all high in cervical cancer tissues. Downregulation of FNDC3A, VEGFA or CPE expression suppressed the proliferation, migration and invasion of SiHa cells. Conclusions: Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC.", "claims": [{"id": "claim-method", "statement": "According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "According to these DEGs, we performed Cox regression and Kaplan-Meier (KM) survival analysis to establish a novel gene signature in TCGA training set (128 patients)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[31] \"Data Availability Statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified two m5C modification subtypes of cervical cancer and established a four-gene prognostic signature comprising FNDC3A, VEGFA, OPN3 and CPE.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34630524", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Two m5C modification subtypes of CC were identified and then a 4-gene signature was established, which provide new feasible methods for clinical risk assessment and targeted therapies for CC."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The study identified two m5C modification subtypes of cervical cancer and established a four-gene prognostic signature comprising FNDC3A, VEGFA, OPN3 and CPE.", "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:34630524"], "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. 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Cell Culture and Transfection The human CC cell line SiHa was provided by", "ditional file 1: Supplementary Table S3. The transfection method was described in our previous article", "O2 in a humidified incubator. Human specific siRNA sequences are shown in Additional file 1: Su"], "order_basis": "paper_text_order:3552", "id": "assay:2"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["e Cell Resource Center, IBMS, CAMS/PUMC. The cell lines were cultured in DMEM medium supplemented with 10% fetal b", "Center, IBMS, CAMS/PUMC. 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