scholarly journals Prognostic and Immunological Role of mRNA ac4C Regulator NAT10 in Pan-Cancer: New Territory for Cancer Research?

2020 ◽  
Author(s):  
Chuanxi Yang ◽  
Tingting Wu ◽  
Jing Zhang ◽  
Jinghui Liu ◽  
Kun Zhao ◽  
...  
Keyword(s):  
T Cells ◽  
Cell Carcinoma ◽  
Marker Gene ◽  
Gene Marker ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Positive Correlations ◽  
Liver Hepatocellular Carcinoma ◽  
Pan Cancer

Abstract BackgroundNAT10 (also known as human N-acetyltransferase-like protein) is a critical gene that regulates N4-acetylcytidine formation in RNA, similar to the multiple regulators of N6-methyladenosine. However, the underlying functions and mechanisms of NAT10 in tumor progression and immunology are unclear.MethodsIn this study, we systematically analyzed the pan-cancer expression and correlations of NAT10, using databases including Oncomine, PrognoScan, GEPIA, and Kaplan-Meier Plotter. The potential correlations of NAT10 with immune infiltration stages and gene marker sets were analyzed using the Tumor Immune Estimation Resource and GEPIA.ResultsCompared with normal tissues, NAT10 showed higher expression in 26 of 27 cancers based on combined data from TCGA and GTEx. In different datasets, high NAT10 expression was significantly correlated with poor prognosis in adrenocortical carcinoma, head and neck squamous cell carcinoma, liver hepatocellular carcinoma, kidney renal papillary cell carcinoma, and pheochromocytoma and paraganglioma. Moreover, there were significant positive correlations between NAT10 expression and immune infiltrates, including B cells, CD8+ T cells, CD4+ T cells, neutrophils, macrophages, dendritic cells, endothelial cells, and fibroblasts in LIHC. NAT10 expression showed strong correlations with diverse immune marker gene sets in LIHC.ConclusionNAT10 expression affects the prognosis of pan-cancer patients and is significantly correlated with tumor immune infiltration. Furthermore, it represents a potential target for cancer therapy.

scholarly journals Prognostic and Immunological Role of mRNA ac4C Regulator NAT10 in Pan-Cancer: New Territory for Cancer Research?

2021 ◽  
Vol 11 ◽  
Author(s):  
Chuanxi Yang ◽  
Tingting Wu ◽  
Jing Zhang ◽  
Jinhui Liu ◽  
Kun Zhao ◽  
...  
Keyword(s):  
T Cells ◽  
Cell Carcinoma ◽  
Marker Gene ◽  
Gene Marker ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Positive Correlations ◽  
Liver Hepatocellular Carcinoma ◽  
Pan Cancer

BackgroundNAT10 (also known as human N-acetyltransferase-like protein) is a critical gene that regulates N4-acetylcytidine formation in RNA, similar to the multiple regulators of N6-methyladenosine. However, the underlying functions and mechanisms of NAT10 in tumor progression and immunology are unclear.MethodsIn this study, we systematically analyzed the pan-cancer expression and correlations of NAT10, using databases including Oncomine, PrognoScan, GEPIA2, and Kaplan-Meier Plotter. The potential correlations of NAT10 with immune infiltration stages and gene marker sets were analyzed using the Tumor Immune Estimation Resource and GEPIA2.ResultsCompared with normal tissues, NAT10 showed higher expression in most cancers based on combined data from TCGA and GTEx. In different datasets, high NAT10 expression was significantly correlated with poor prognosis in adrenocortical carcinoma, head and neck squamous cell carcinoma, liver hepatocellular carcinoma, kidney renal papillary cell carcinoma, and pheochromocytoma and paraganglioma. Moreover, there were significant positive correlations between NAT10 expression and immune infiltrates, including B cells, CD8+ T cells, CD4+ T cells, neutrophils, macrophages, dendritic cells, endothelial cells, and fibroblasts in LIHC. NAT10 expression showed strong correlations with diverse immune marker gene sets in LIHC.ConclusionNAT10 expression affects the prognosis of pan-cancer patients and is significantly correlated with tumor immune infiltration. Furthermore, it represents a potential target for cancer therapy.

scholarly journals TREM2 is a prognostic biomarker and correlates in immune infiltrates in kidney renal papillary cell carcinoma and liver hepatocellular carcinoma

2021 ◽  
Author(s):  
bin wen Xiang ◽  
Sha Fang ◽  
peng yan Ding ◽  
min nuo Liu ◽  
chao hua Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Infiltrating Lymphocytes ◽  
Mrna Levels ◽  
Limited Information ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Positive Correlations ◽  
Liver Hepatocellular Carcinoma ◽  
Infiltrating Lymphocytes

Abstract Background: TREM2 was identified as a marker for tumor-associated macrophages (TAMs) and monocytes. However, there is limited information concerning the TREM2 mRNA levels correlated with the outcome and tumor-infiltrating lymphocytes in different cancers.Methods: To explore the expression pattern and prognostic value of TREM2 in pan-cancer, We use multiple databases, including ONCOMINE, PrognoScan, Kaplan-Meier Plotter, GEPIA, and TIMER. we investigated the correlations between TREM1 expression and immune infiltration in cancers, especially kidney renal papillary cell carcinoma (KIRP), and liver hepatocellular carcinoma (LIHC)Results: According to the results from Oncomine and TIMER datasets, in a general way, TREM2 mRNA expression is higher in the majority of the tumor and is lower in lung cancer, compared with normal adjacent tissues. A high expression level of TREM2 was beneficial to the survival of LIHC patients. Both in KIRP and LIHC, TREM2 expression levels showed significant positive correlations with infiltrating levels of macrophages and dendritic cells. It also correlated with diverse immune marker sets. We can also find that TREM2 expression was modestly associated with CD8+T cells in KIRP. However, it is related to the Treg in LIHC.Conclusions: TREM2 may be a prognostic marker in the multitudinous tumor. Furthermore, TREM2 may interact with immune infiltration to influence patient survival in cancers like LIHC and KIRP.

scholarly journals Prognostic and immunological role of Fam20C in pan-cancer

2021 ◽  
Vol 41 (1) ◽  
Author(s):  
Xinpeng Liu ◽  
Yuanbo Zhan ◽  
Wenxia Xu ◽  
Xiaoyao Liu ◽  
Yawei Geng ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Sequence Similarity ◽  
Expression Patterns ◽  
The Cancer Genome Atlas ◽  
Lower Grade ◽  
Tumor Cell Migration ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Pan Cancer

Abstract Background: The family with sequence similarity 20-member C (Fam20C) kinase plays important roles in physiopathological process and is responsible for majority of the secreted phosphoproteome, including substrates associated with tumor cell migration. However, it remains unclear whether Fam20C plays a role in cancers. Here, we aimed to analyze the expression and prognostic value of Fam20C in pan-cancer and to gain insights into the association between Fam20C and immune infiltration. Methods: We analyzed Fam20C expression patterns and the associations between Fam20C expression levels and prognosis in pan-cancer via the ONCOMINE, TIMER (Tumor Immune Estimation Resource), PrognoScan, GEPIA (Gene Expression Profiling Interactive Analysis), and Kaplan–Meier Plotter databases. After that, GEPIA and TIMER databases were applied to investigate the relations between Fam20C expression and immune infiltration across different cancer types, especially BLCA (bladder urothelial carcinoma), LGG (brain lower grade glioma), and STAD (stomach adenocarcinoma). Results: Compared with adjacent normal tissues, Fam20C was widely expressed across many cancers. In general, Fam20C showed a detrimental role in pan-cancer, it was positively associated with poor survival of BLCA, LGG, and STAD patients. Specifically, based on TCGA (The Cancer Genome Atlas) database, a high expression level of Fam20C was associated with worse prognostic value in stages T2–T4 and stages N0–N2 in the cohort of STAD patients. Moreover, Fam20C expression had positive associations with immune infiltration, including CD4+ T cells, macrophages, neutrophils, and dendritic cells, and other diverse immune cells in BLCA, LGG, and STAD. Conclusion: Fam20C may serve as a promising prognostic biomarker in pan-cancer and has positive associations with immune infiltrates.

scholarly journals Comprehensive Analysis of CPA4 as a Poor Prognostic Biomarker Correlated with Immune Cells Infiltration in Bladder Cancer

Biology ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1143
Author(s):  
Chengcheng Wei ◽  
Yuancheng Zhou ◽  
Qi Xiong ◽  
Ming Xiong ◽  
Yaxin Hou ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
T Cell ◽  
Immune Cells ◽  
Prognostic Significance ◽  
Gene Set Enrichment Analysis ◽  
Marker Genes ◽  
Gene Marker ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Diagnostic Potential

Carboxypeptidase A4 (CPA4) has shown the potential to be a biomarker in the early diagnosis of certain cancers. However, no previous research has linked CPA4 to therapeutic or prognostic significance in bladder cancer. Using data from The Cancer Genome Atlas (TCGA) database, we set out to determine the full extent of the link between CPA4 and BLCA. We further analyzed the interacting proteins of CPA4 and infiltrated immune cells via the TIMER2, STRING, and GEPIA2 databases. The expression of CPA4 in tumor and normal tissues was compared using the TCGA + GETx database. The connection between CPA4 expression and clinicopathologic characteristics and overall survival (OS) was investigated using multivariate methods and Kaplan–Meier survival curves. The potential functions and pathways were investigated via gene set enrichment analysis. Furthermore, we analyze the associations between CPA4 expression and infiltrated immune cells with their respective gene marker sets using the ssGSEA, TIMER2, and GEPIA2 databases. Compared with matching normal tissues, human CPA4 was found to be substantially expressed. We confirmed that the overexpression of CPA4 is linked with shorter OS, DSF(Disease-specific survival), PFI(Progression-free interval), and increased diagnostic potential using Kaplan–Meier and ROC analysis. The expression of CPA4 is related to T-bet, IL12RB2, CTLA4, and LAG3, among which T-bet and IL12RB2 are Th1 marker genes while CTLA4 and LAG3 are related to T cell exhaustion, which may be used to guide the application of checkpoint blockade and the adoption of T cell transfer therapy.

scholarly journals APOC1 is a Potential Prognostic Biomarker and Correlated With Immune Infiltration in ESCC

2020 ◽  
Author(s):  
Jia-yi XIE ◽  
Ming Liu ◽  
Yaxin Luo ◽  
Zhen Wang ◽  
Zhenghong Lu ◽  
...  
Keyword(s):  
T Cells ◽  
Transcription Factors ◽  
Cd8 T Cells ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Killer Cell ◽  
Gene Set Enrichment Analysis ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract PurposeEsophageal cancer (EC) is the sixth leading cause of cancer death worldwide. Esophageal squamous cell carcinoma (ESCC) is a predominant subtype of EC. Identifying diagnostic biomarkers for ESCC is necessary for cancer practice. Increasing evidence illustrates that apolipoprotein C-1 (APOC1) participates in the carcinogenesis. However, the biological function of APOC1 in ESCC remains unclear. Patients and methodsWe investigated the expression level of APOC1 using TIMER2.0 and GEO databases, the prognostic value of APOC1 in ESCC using Kaplan-Meier plotter and TCGA databases. We used LinkedOmics to identify co-expressed genes with APOC1 and perform GO and KEGG pathway analysis. The target networks of kinases, miRNAs and transcription factors were predicted by gene set enrichment analysis (GSEA). The correlations between APOC1 and immune infiltration were calculated using TIMER2.0 and CIBERSORT databases. We further performed the prognostic analysis based on APOC1 expression levels in related immune cells subgroups via Kaplan-Meier plotter database. ResultsAPOC1 was found overexpressed in tumor tissues in multiple ESCC cohorts and high APOC1 expression was related to a dismal prognosis. Multivariate analysis confirmed that APOC1 overexpression was an independent indicator of poor OS. Functional network analysis indicated that APOC1 might regulate the natural killer cell mediated cytotoxicity, phagosome, AMPK and hippo signaling through pathways involving some cancer-related kinases, miRNA and transcription factors. Immune infiltration analysis showed that APOC1 was significantly positively correlated with M0 macrophages cells, M1 macrophages cells and activated NK cells, negatively correlated with regulatory T cells, CD8 T cells, neutrophils and monocytes. High APOC1 expression had a poor prognosis in server immune cells subgroups in ESCC, including decreased CD8+ T cells subgroups. ConclusionThese findings suggest that increased expression of APOC1 is related to poor prognosis and immune infiltration in ESCC. APOC1 holds promise for serving as a valuable diagnostic and prognostic marker in ESCC.

scholarly journals CDCA3 Is a Novel Prognostic Biomarker Associated with Immune Infiltration in Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zhihuai Wang ◽  
Shuai Chen ◽  
Gaochao Wang ◽  
Sun Li ◽  
Xihu Qin
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cells ◽  
Immune Cell ◽  
Disease Free Survival ◽  
In Silico Analysis ◽  
Gene Markers ◽  
Free Survival ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Tumor Tissues

Cell division cycle-associated protein-3 (CDCA3) contributes to the regulation of the cell cycle. CDCA3 plays an important role in the carcinogenesis of various cancers; however, the association between CDCA3 expression, prognosis of patients, and immune infiltration in the tumor microenvironment is still unknown. Here, we demonstrated that CDCA3 was differentially expressed between the tumor tissues and corresponding normal tissues using in silico analysis in the ONCOMINE and Tumor Immune Estimation Resource (TIMER) databases. We analyzed the relationship between the expression of CDCA3 and prognosis of patients with hepatocellular carcinoma (HCC) using the Kaplan–Meier plotter database and Gene Expression Profiling Interactive Analysis (GEPIA). Furthermore, we determined the prognostic value of CDCA3 expression using univariate and multivariate analyses. We observed that CDCA3 expression closely correlated with immune infiltration and gene markers of infiltrating immune cells in the TIMER database. CDCA3 was highly expressed in the tumor tissues than in the adjacent normal tissues in various cancers, including HCC. Increased expression of CDCA3 was accompanied by poorer overall survival (OS), relapse-free survival (RFS), progression-free survival (PFS), and disease-specific survival (DSS). The correlation between CDCA3 expression and OS and disease-free survival (DFS) was also studied using GEPIA. CDCA3 expression was associated with the levels of immune cell infiltration and was positively correlated with tumor purity. Moreover, CDCA3 expression was associated with gene markers such as PD-1, CTLA4, LAG3, and TIM-3 from exhausted T cells, CD3D, CD3E, and CD2 from T cells, and TGFB1 and CCR8 located on the surface of Tregs. Thus, we demonstrated that CDCA3 may be a potential target and biomarker for the management and diagnosis of HCC.

scholarly journals Prognosis and immune function of Synaptotagmin-4 in gastric cancer and brain low-grade glioma

2020 ◽  
Author(s):  
Siyuan Jiang ◽  
Lizhe Zhu ◽  
Chao Jiang ◽  
Shibo Yu ◽  
Bin Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Immune Function ◽  
Treg Cells ◽  
Low Grade Glioma ◽  
Low Grade ◽  
Lower Grade ◽  
Expression Levels ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Kaplan Meier

Abstract Background Synaptotagmins (SYTs) are a family of proteins whose primary feature is the calcium sensor in vesicle transport and exocytosis. SYT4 is one of them, but the relationship between SYT4 and cancer remains unclear. We aim to explore the prognosis and immune function of SYT4 in gastric cancer and low-grade glioma. Methods These databases were used to study the immunological and prognostic role of SYT4 in cancers, including the Oncomine database, Kaplan-Meier plotter, GEPIA2, TIMER, and CGGA. Results The study suggested that the expression levels of SYT4 were lower in both gastric cancer and glioma, compared to the normal tissues. And SYT4 played a protective and harmful role in low-grade gliomas and gastric cancer, respectively. Moreover, we found that a difference between SYT4 expression and the levels of immune infiltration in stomach adenocarcinoma (STAD) and brain lower-grade glioma (LGG). Besides, after exploring the association between the expression levels of SYT4 and markers of immune cells in these two cancers, we found that markers of monocytes, M1/ M2, tumor-associated macrophages (TAMs), Treg cells and SYT4 expressions had an opposite correlation in STAD and LGG. Conclusions SYT4 had an effect on the prognosis of gastric cancer and glioma patients and was related to immune infiltration by regulating TAMs and Treg cells. SYT4 can be used as a prognostic biomarker for STAD and LGG.

scholarly journals SPP1 is a Prognostic Related Biomarker and Correlated With Tumor-Infiltrating Immune Cells in Ovarian Cancer

2021 ◽  
Author(s):  
Wen Gao ◽  
Sheng Yin ◽  
Haiyan Sun ◽  
Zhuyan Shao ◽  
Peipei Shi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
T Cells ◽  
Immune Cell ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Vital Role ◽  
Functional Enrichment ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Secreted Phosphoprotein 1

Abstract Background: Secreted phosphoprotein 1 (SPP1) plays a vital role in tumor progression of some cancer types, but little is known whether it is a bystander or an actual player on driving immune infiltration in ovarian cancer.Methods: In this study, the expression of SPP1 was identified by Oncomine, GEPIA and TIMER databases, and SPP1 immumohistochemical staining analysis was assessed by The HPA database. The clinical outcomes between SPP1 expression and ovarian cancer patients were evaluated via Kaplan-Meier Plotter and PrognoScan dataset. Immune infiltration analyses were explored using TIMER and TISIDB dataset. In addition, Functional enrichment analyses were performed with Metascape and GeneMANIA database.Results: SPP1 was found overexpressed in ovarian tumor tissues and high SPP1 expression was correlated with shorter OS and PFS survivals. Particularly, elevated SPP1 expression was significantly associated with stage III ovarian cancer. Notably, SPP1 expression was positively correlated with infiltrating levels of CD4+ T cells, CD8+ T cells, macrophages, neutrophils, and dendritic cells. Furthermore, SPP1 expression showed strong correlations with diverse immune hallmark sets in ovarian cancer. Of particular importance, functional enrichment analysis suggested that SPP1 strong related with immune response.Conclusions: These findings imply that SPP1 is correlated with prognosis and immune cell infiltrating, offering a new potential immunotherapeutic target in ovarian cancer.Trial registration: Not applicable.

scholarly journals Expression and prognosis analysis of JMJD5 in human cancers

2020 ◽  
Author(s):  
Hui Li ◽  
Qun Li ◽  
Hong Jing ◽  
Jianghai Zhao ◽  
Hui Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cells ◽  
B Cells ◽  
Lung Adenocarcinoma ◽  
Immune Cells ◽  
Prognostic Value ◽  
Normal Tissues ◽  
Human Cancers ◽  
Stomach Adenocarcinoma ◽  
Liver Hepatocellular Carcinoma

Abstract BackgroundJumonjiC (JmjC) domain-containing protein 5 (JMJD5) plays an important role in cancer metabolism. However, the prognostic value of JMJD5 in most human cancers is still unknown. In this study, we aim to investigate the expression and prognostic value of JMJD5, immune cells infiltration, and the correlations among them. MethodsWe performed a detailed cancer vs. normal analysis of JMJD5 mRNA expression via online Tumor Immune Estimation Resource (TIMER). The protein expressions of JMJD5 in various cancers vs. adjacent normal tissues were examined by immunohistochemistry (IHC) of tissue microarray sections (TMAs). Moreover, the Kaplan-Meier Plotter databases were used to evaluate the prognostic values in above cancers. The correlations between JMJD5 expression level and abundances of six immune infiltrating cells (B cells, CD4+ T cells, CD8+ T cells, macrophages, neutrophils and dendritic cells) were explored by TIMER database in breast cancer (BRCA), liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC) and stomach adenocarcinoma (STAD). The prognostic values of tumor- infiltrating immune cells were also investigated by TIMER in above four cancers. Finally, the COX proportional hazards model was used to investigate the correlations among clinical outcome, the abundance of immune cell infiltrates and the expression of JMJD5 in above four cancer types.ResultsThe expression of JMJD5 was significantly lower in human breast carcinoma (BRCA), cholangiocarcinoma (CHOL), liver hepatocellular carcinoma (LIHC) and lung cancer (LUC) but higher in prostate adenocarcinoma (PRAD) and stomach adenocarcinoma (STAD) comparing to their respective normal tissues. And high expression of JMJD5 has better prognosis only in BRCA, LIHC, LUC but the opposite effect in STAD. JMJD5 expression is significant correlation with the abundance of six immune cells infiltration in above four cancers. Both the BRCA or lung adenocarcinoma (LUAD) patients with abundance of B cell and the STAD patients with low level of macrophage have a better cumulative survival. ConclusionsWe provided novel evidence of JMJD5 as an essential prognostic biomarker in cancers through analyses the correlation of the JMJD5 expression, tumor-infiltrating B cells and macrophages and prognostic value. This study offers new perspectives therapeutic target in BRCA, LUAD and STAD.

scholarly journals SERPINH1 is a Potential Prognostic Biomarker and Correlated With Immune Infiltration: A Pan-Cancer Analysis

2022 ◽  
Vol 12 ◽  
Author(s):  
Yu Wang ◽  
Weigang Gu ◽  
Weiwei Wen ◽  
Xiaofeng Zhang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker ◽  
Proteinase Inhibitors ◽  
Pearson Correlation ◽  
Lower Grade ◽  
Immune Infiltration ◽  
Pan Cancer

Background: Serpin peptidase inhibitor clade H, member 1 (SERPINH1) is a gene encoding a member of the serpin superfamily of serine proteinase inhibitors. The upregulated of SERPINH1 was associated with poor prognosis in breast cancer, stomach adenocarcinoma, and esophageal carcinoma. However, the role of SERPINH1 in pan-cancer is largely unexplored.Methods: SERPINH1 expression and the correlation with prognosis in human pan-cancer were analyzed by the Cancer Genome Atlas and the Genotype-Tissue Expression dataset. Pearson correlation analysis was applied to evaluate the role of SERPINH1 expression in tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), DNA methyltransferase, and common immunoregulators. Spearman’s correlation test was used to analysis SERPINH1 expression in tumor immune infiltration and infiltrating immune cells via the Tumor Immune Evaluation Resource database. Furtherly, immunohistochemistry staining of SERPINH1 was acquired from the Human Protein Atlas database for validation.Results: SERPINH1 was abnormally expressed in fourteen cancers. The high expression of SERPINH1 significantly reduced the overall survival (OS), disease-specific survival, and progression free interval in eleven cancers. Moreover, SERPINH1 expression was correlated with MMR, MSI, TMB, and DNA methylation in multiple types of cancer. Also, SERPINH1 expression showed strong association with immunoregulators and immune checkpoint markers in testicular germ cell tumors, brain lower grade glioma (LGG), pheochromocytoma and paraganglioma. In addition, SERPINH1 expression was related to immune cell infiltration in multiple cancers, particularly in breast invasive carcinoma, LGG, and liver hepatocellular carcinoma. The result of immunohistochemistry verification shown that SERPINH1 staining was higher in tumor samples than in normal tissue in colon adenocarcinoma, head and neck squamous cell carcinoma, kidney renal papillary cell carcinoma and cervical squamous cell carcinoma, which was consistent with the result of OS.Conclusion: Overall, these results indicate that SERPINH1 may serve as an important prognostic biomarker and correlate with tumor immunity in human pan-cancer.

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