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pmid:36552960

PVR-A Prognostic Biomarker Correlated with Immune Cell Infiltration in Hepatocellular Carcinoma.

Wen-Feng Liu · Bing Quan · Miao Li · Feng Zhang · Ke-Shu Hu · Xin Yin

Diagnostics (Basel, Switzerland) · 2022 doi:10.3390/diagnostics12122953

Paper

complete

Experiment

complete

Data

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Analysis

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title
PVR-A Prognostic Biomarker Correlated with Immune Cell Infiltration in Hepatocellular Carcinoma.
doi
10.3390/diagnostics12122953
pmid
36552960
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Wen-Feng Liu
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Bing Quan
[2]
Miao Li
[3]
Feng Zhang
[4]
Ke-Shu Hu
[5]
Xin Yin
journal
Diagnostics (Basel, Switzerland)
year
2022
abstract
The poliovirus receptor (PVR) is a member of the immunoglobulin superfamily (Ig SF) and is essential for the promotion of cancer cell proliferation and invasion. However, the correlation between PVR expression and prognosis as well as immune infiltration in hepatocellular carcinoma (HCC) remains unclear. The expression level of PVR was quantified using the Tumor and Tumor Immunity Evaluation Resource (TIMER) and Sangerbox. The Gene Expression Omnibus (GEO) database was used to validate the PVR expression. The receiver operating characteristic (ROC) curve was used to evaluate the feasibility of using PVR as a differentiating factor according to the area under curve (AUC) score. A PVR binding protein network was built using the STRING tool. An enrichment analysis using the R package clusterProfiler was used to explore the potential function of PVR. Immune infiltration analysis was calculated with ESTIMATE algorithms. We also assessed the correlation between PVR expression and immune infiltration by the single-sample Gene Set Enrichment Analysis (ssGSEA) method from the R package GSVA and TIMER database. The results showed that PVR was commonly overexpressed in multiple types of tumors including HCC. The data of GSE64041 confirmed the same result. The ROC curve suggested that PVR could be a potential diagnostic biomarker. Additionally, high mRNA expression of PVR in HCC was significantly correlated with poor overall survival (OS) and relapse free survival (RFS). Results also indicated correlations between PVR mRNA expression with the level of infiltration immune cells including B cells, CD8+ T cells, cytotoxic cells, DCs, CD56dim NK cells, pDCs, and Th2 cells. Furthermore, the PVR level was significantly correlated with immune markers for immunosuppressive cells in HCC. In conclusion, PVR might be an important regulator of tumor immune cell infiltration and a valuable prognostic biomarker in HCC. However, additional work is needed to fully elucidate the underlying mechanisms.
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The Kaplan–Meier plot (http://kmplot.com/analysis/ (Last accessed on 15 November 2022)) was applied to evaluate the prognostic significance of PVR in HCC patients. Using the auto select best cutoff algorithm on the website, HCC patients were divided into two cohorts (high vs. low expression). Then, the hazard ratio (HR) and log-rank p-value were calculated.
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sections[5] "2.3. Prognostic Analysis of PVR in HCC Patients" paragraph 2
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The Kaplan–Meier plot (http://kmplot.com/analysis/ (Last accessed on 15 November 2022)) was applied to evaluate the prognostic significance of PVR in HCC patients. Using the auto select best cutoff algorithm on the website, HCC patients were divided into two cohorts (high vs. low expression). Then, the hazard ratio (HR) and log-rank p-value were calculated.
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Elevated PVR mRNA expression in HCC was significantly associated with poor overall survival and relapse-free survival.
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The log-rank analysis revealed a significant correlation between the elevated PVR mRNA levels and poor OS and RFS in the HCC patients (p < 0.05) (Figure 3A,B).
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sections[10] "3.2. Prognostic Significance of PVR Expression in HCC" paragraph 2
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The log-rank analysis revealed a significant correlation between the elevated PVR mRNA levels and poor OS and RFS in the HCC patients (p < 0.05) (Figure 3A,B).
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The Kaplan–Meier plot (http://kmplot.com/analysis/ (Last accessed on 15 November 2022)) was applied to evaluate the prognostic significance of PVR in HCC patients. Using the auto select best cutoff algorithm on the website, HCC patients were divided into two cohorts (high vs. low expression). Then, the hazard ratio (HR) and log-rank p-value were calculated.
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However, the correlation between PVR expression and prognosis as well as immune infiltration in hepatocellular carcinoma (HCC) remains unclear. The expression level of PVR was quantified using the Tumor and Tumor Immunity Evaluation Resource (TIMER) and Sangerbox. The Gene Expression Omnibus (GEO) database was used to validate the PVR expression. The receiver operating characteristic (ROC) curve was used to evaluate the feasibility of using PVR as a differentiating factor according to the area under curve (AUC) score. A PVR binding protein network was built using the STRING tool. An enrichment analysis using the R package clusterProfiler was used to explore the potential function of PVR. Immune infiltration analysis was calculated with ESTIMATE algorithms. We also assessed the correlation between PVR expression and immune infiltration by the single-sample Gene Set Enrichment Analysis (ssGSEA) method from the R package GSVA and TIMER database. The results showed that PVR was commonly overexpressed in multiple types of tumors including HCC. The data of GSE64041 confirmed the same result. The ROC curve suggested that PVR could be a potential diagnostic biomarker. Additionally, high mRNA expression of PVR in HCC was significantly correlated with poor overall survival (OS) and relapse free survival (RFS). Results also indicated correlations between PVR mRNA expression with the level of infiltration immune cells including B cells, CD8+ T cells, cytotoxic cells, DCs, CD56dim NK cells, pDCs, and Th2 cells. Furthermore, the PVR level was significantly correlated with immune markers for immunosuppressive cells in HCC. In conclusion, PVR might be an important regulator of tumor immune cell infiltration and a valuable prognostic biomarker in HCC. However, additional work is needed to fully elucidate the underlying mechanisms.", "claims": [{"id": "claim-method", "statement": "The Kaplan–Meier plot (http://kmplot.com/analysis/ (Last accessed on 15 November 2022)) was applied to evaluate the prognostic significance of PVR in HCC patients. Using the auto select best cutoff algorithm on the website, HCC patients were divided into two cohorts (high vs. low expression). Then, the hazard ratio (HR) and log-rank p-value were calculated.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36552960", "locator": "sections[5] \"2.3. Prognostic Analysis of PVR in HCC Patients\" paragraph 2", "quote": "The Kaplan–Meier plot (http://kmplot.com/analysis/ (Last accessed on 15 November 2022)) was applied to evaluate the prognostic significance of PVR in HCC patients. Using the auto select best cutoff algorithm on the website, HCC patients were divided into two cohorts (high vs. low expression). Then, the hazard ratio (HR) and log-rank p-value were calculated."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data are available on request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36552960", "locator": "sections[21] \"Data Availability Statement\" paragraph 2", "quote": "All data are available on request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Elevated PVR mRNA expression in HCC was significantly associated with poor overall survival and relapse-free survival.", "kind": "quantitative", "target": {"value": 0.05, "unit": "p-value", "tolerance": null, "source": "The log-rank analysis revealed a significant correlation between the elevated PVR mRNA levels and poor OS and RFS in the HCC patients (p < 0.05) (Figure 3A,B)."}, "evidence": [{"asset": "source:pmid:36552960", "locator": "sections[10] \"3.2. 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