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pmid:34795513

Prognostic Value of Long Noncoding RNA DLEU2 and Its Relationship with Immune Infiltration in Kidney Renal Clear Cell Carcinoma and Liver Hepatocellular Carcinoma.

Shengqiang Fu · Binbin Gong · Siyuan Wang · Qiang Chen · Yifu Liu · Changshui Zhuang · Zhilong Li · Zhicheng Zhang · Ming Ma · Ting Sun

International journal of general medicine · 2021 doi:10.2147/IJGM.S336428

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Experiment

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Data

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title
Prognostic Value of Long Noncoding RNA DLEU2 and Its Relationship with Immune Infiltration in Kidney Renal Clear Cell Carcinoma and Liver Hepatocellular Carcinoma.
doi
10.2147/IJGM.S336428
pmid
34795513
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[0]
Shengqiang Fu
[1]
Binbin Gong
[2]
Siyuan Wang
[3]
Qiang Chen
[4]
Yifu Liu
[5]
Changshui Zhuang
[6]
Zhilong Li
[7]
Zhicheng Zhang
[8]
Ming Ma
[9]
Ting Sun
journal
International journal of general medicine
year
2021
abstract
BACKGROUND: DLEU2 is a long noncoding RNA considered important in the progression of many cancers. However, correlations between DLEU2 and kidney renal clear cell carcinoma (KIRC) and liver hepatocellular carcinoma (LIHC) have rarely been reported. METHODS: We first analysed the expression of DLEU2 across cancers and the correlation between DLEU2 and the clinical features of KIRC and LIHC by using the "ggplot2" package in R and searched the Oncomine database and Timer website platform. We verified the expression of DLEU2 in the GEO dataset (GSE105261 and GSE45267). Receiver operating characteristic (ROC) curves were drawn using the "pROC" and "ggplot2" packages in R, and we constructed a DLEU2-based prognostic nomogram for KIRC and LIHC by using the "survival" and "rms" packages in R. Then, we analysed the correlation between DLEU2 expression and prognosis in R as well as the correlation between DLEU2 and immune cell infiltration in the TIMER database. Finally, we explored the causes of DLEU2 upregulation in the UCSC Xena and UALCAN databases. RESULTS: We found that DLEU2 was upregulated in many cancers, including KIRC and LIHC. Expression of DLEU2 is associated with tumour stage, grade, lymphatic metastasis, and distant metastasis in KIRC as well as alpha-fetoprotein (AFP), tumour stage, grade, lymphatic metastasis, and distant metastasis in LIHC. DLEU2 is an adverse factor for the prognosis of KIRC and LIHC. In addition, DLEU2 has moderate accuracy in diagnosing KIRC and LIHC and predicting their prognosis. Moreover, we found that expression of DLEU2 correlated positively with immune cell infiltration in KIRC and LIHC, and upregulation of DLEU2 in KIRC and LIHC suggests a poor prognosis based on immune cells analysis. Genetic and epigenetic analyses of DLEU2 indicate that copy number variations (CNVs) and methylation contribute to the upregulation of DLEU2. CONCLUSION: The long noncoding RNA DLEU2 has the potential to predict the prognosis and immune infiltration of KIRC and LIHC.
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To explore the factors influencing the prognosis of KIRC and LIHC, univariate and multivariate Cox hazard regression analyses were performed to identify factors that might affect the prognosis of KIRC and LIHC.
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sections[12] "The Prognostic Value of DLEU2 and the Construction of a Prognostic Nomogram for KIRC and LIHC" paragraph 2
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To explore the factors influencing the prognosis of KIRC and LIHC, univariate and multivariate Cox hazard regression analyses were performed to identify factors that might affect the prognosis of KIRC and LIHC.
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All data or materials involved in the manuscript are freely available from the open database The Cancer Genome Atlas (TCGA) (https://portal.gdc.cancer.gov/).
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Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C).
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sections[13] "Prognostic Significance of the Differential Expression of DLEU2 in Different Cancers" paragraph 2
quote
Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C).
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Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C).
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34795513", "kind": "science-record", "revision": 3, "content_hash": "sha256:7e7c15dd860523c1883d28965338f53de7c613106c0a26ae68f0808e545059bf", "created_at": "2026-11-01T17:36:30Z", "updated_at": "2026-11-01T21:26:38Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic Value of Long Noncoding RNA DLEU2 and Its Relationship with Immune Infiltration in Kidney Renal Clear Cell Carcinoma and Liver Hepatocellular Carcinoma.", "doi": "10.2147/IJGM.S336428", "pmid": "34795513", "authors": ["Shengqiang Fu", "Binbin Gong", "Siyuan Wang", "Qiang Chen", "Yifu Liu", "Changshui Zhuang", "Zhilong Li", "Zhicheng Zhang", "Ming Ma", "Ting Sun"], "journal": "International journal of general medicine", "year": 2021, "abstract": "BACKGROUND: DLEU2 is a long noncoding RNA considered important in the progression of many cancers. However, correlations between DLEU2 and kidney renal clear cell carcinoma (KIRC) and liver hepatocellular carcinoma (LIHC) have rarely been reported.\nMETHODS: We first analysed the expression of DLEU2 across cancers and the correlation between DLEU2 and the clinical features of KIRC and LIHC by using the \"ggplot2\" package in R and searched the Oncomine database and Timer website platform. We verified the expression of DLEU2 in the GEO dataset (GSE105261 and GSE45267). Receiver operating characteristic (ROC) curves were drawn using the \"pROC\" and \"ggplot2\" packages in R, and we constructed a DLEU2-based prognostic nomogram for KIRC and LIHC by using the \"survival\" and \"rms\" packages in R. Then, we analysed the correlation between DLEU2 expression and prognosis in R as well as the correlation between DLEU2 and immune cell infiltration in the TIMER database. Finally, we explored the causes of DLEU2 upregulation in the UCSC Xena and UALCAN databases.\nRESULTS: We found that DLEU2 was upregulated in many cancers, including KIRC and LIHC. Expression of DLEU2 is associated with tumour stage, grade, lymphatic metastasis, and distant metastasis in KIRC as well as alpha-fetoprotein (AFP), tumour stage, grade, lymphatic metastasis, and distant metastasis in LIHC. DLEU2 is an adverse factor for the prognosis of KIRC and LIHC. In addition, DLEU2 has moderate accuracy in diagnosing KIRC and LIHC and predicting their prognosis. Moreover, we found that expression of DLEU2 correlated positively with immune cell infiltration in KIRC and LIHC, and upregulation of DLEU2 in KIRC and LIHC suggests a poor prognosis based on immune cells analysis. Genetic and epigenetic analyses of DLEU2 indicate that copy number variations (CNVs) and methylation contribute to the upregulation of DLEU2.\nCONCLUSION: The long noncoding RNA DLEU2 has the potential to predict the prognosis and immune infiltration of KIRC and LIHC.", "claims": [{"id": "claim-method", "statement": "To explore the factors influencing the prognosis of KIRC and LIHC, univariate and multivariate Cox hazard regression analyses were performed to identify factors that might affect the prognosis of KIRC and LIHC.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34795513", "locator": "sections[12] \"The Prognostic Value of DLEU2 and the Construction of a Prognostic Nomogram for KIRC and LIHC\" paragraph 2", "quote": "To explore the factors influencing the prognosis of KIRC and LIHC, univariate and multivariate Cox hazard regression analyses were performed to identify factors that might affect the prognosis of KIRC and LIHC."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data or materials involved in the manuscript are freely available from the open database The Cancer Genome Atlas (TCGA) (https://portal.gdc.cancer.gov/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34795513", "locator": "sections[21] \"Data Sharing Statement\" paragraph 2", "quote": "All data or materials involved in the manuscript are freely available from the open database The Cancer Genome Atlas (TCGA) (https://portal.gdc.cancer.gov/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34795513", "locator": "sections[13] \"Prognostic Significance of the Differential Expression of DLEU2 in Different Cancers\" paragraph 2", "quote": "Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Forest plots showed that DLEU2 was a hazard for OS (HR = 1.89, P < 0.001), disease-specific survival (DSS) (HR = 1.97, P = 0.01) and progression-free interval (PFI) (HR = 1.37, P = 0.05) in KIRC and OS (HR = 1.56, P = 0.011), DSS (HR = 1.68, P = 0.024) (Figure 5A–C).", "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:34795513"], "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:GSE105261"], "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:GSE105261"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34795513", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/IJGM.S336428", "sha256": 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