scholarly journals Immune Infiltration of MMP14 in Pan Cancer and Its Prognostic Effect on Tumors

2021 ◽  
Vol 11 ◽  
Author(s):  
Minde Li ◽  
Shaoyang Li ◽  
Lin Zhou ◽  
Le Yang ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Immune Checkpoint ◽  
Treatment Strategies ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Immune Infiltration ◽  
Tumor Prognosis ◽  
Checkpoint Genes ◽  
The Relationship ◽  
Pan Cancer

BackgroundMatrix metalloproteinase 14 (MMP14) is a member of the MMP family, which interacts with tissue inhibitors of metalloproteinase (TIMPs), and is involved in normal physiological functions such as cell migration, invasion, metastasis, angiogenesis, and proliferation, as well as tumor genesis and progression. However, there has been a lack of relevant reports on the effect of MMP14 across cancers. This study aims to explore the correlation between MMP14 and pan-cancer prognosis, immune infiltration, and the effects of pan-cancer gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutational burden (TMB), DNA methylation, and immune checkpoint genes.MethodsIn this study, we used bioinformatics to analyze data from multiple databases, including The Cancer Genome Atlas (TCGA), ONCOMINE, and Kaplan–Meier plotter. We investigated the relationship between the expression of MMP14 in tumors and tumor prognosis, the relationship between MMP14 expression and tumor cell immune infiltration, and the relationship between MMR gene MMR, MSI, TMB, DNA methylation, and immune checkpoint genes.ResultsMMP14 expression is highly associated with the prognosis of a variety of cancers and tumor immune invasion and has important effects on pan oncologic MMR, MSI, TMB, DNA methylation, and immune checkpoint genes.ConclusionMMP14 is highly correlated with tumor prognosis and immune invasion and affects the occurrence and progression of many tumors. All of these results fully indicate that MMP14 may be a biomarker for the prognosis, diagnosis, and treatment of many tumors and provide new ideas and direction for subsequent tumor immune research and treatment strategies.

scholarly journals Immune infiltration of MMP14 in Pan-cancer and its prognostic effect on tumor

2021 ◽  
Author(s):  
Minde Li ◽  
Shaoyang Li ◽  
Lin Zhou ◽  
Le Yang ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Microsatellite Instability ◽  
Mismatch Repair ◽  
Immune Checkpoint ◽  
Mutation Load ◽  
Immune Infiltration ◽  
Tumor Prognosis ◽  
Checkpoint Genes ◽  
The Relationship ◽  
Pan Cancer

Abstract Background: Matrix metallopeptidase 14(MMPL4) is a member of the matrix metalloproteinase family, which interacts with tissue metalloproteinase inhibitors (TIMPs), and is involved in normal physiological functions such as cell migration, invasion, metastasis, angiogenesis and proliferation, as well as tumor genesis and progression. However, there has been a lack of relevant reports on the effect of MMP14 on pan-cancer. This study aims to explore the correlation between MMP14 and pan-cancer prognosis, immune infiltration, and the effects of pan-cancer gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes.Methods: In this study, we used bioinformatics to analyze data from multiple databases, including TCGA, Oncomine and Kaplan-Meier Plotter. We investigated the relationship between the expression of MMP14 in tumors and tumor prognosis, the relationship between MMP14 expression and tumor cell immune infiltration, and the relationship between MMR gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes.Results: MMP14 expression is highly associated with prognosis of a variety of cancers, tumor immunoinvasion, and has important effects on pan-oncologic mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes. Conclusion: MMP14 is highly correlated with tumor prognosis and immunoinvasion, and affects the occurrence and progression of many tumors. All these fully indicate that MMP14 may be a biomarker for the prognosis, diagnosis and treatment of many tumors, and provide a new idea and direction for subsequent tumor immune research and treatment strategies.

scholarly journals Pan-Cancer Integrated Analysis of HSF2 Expression, Prognostic Value and Potential Implications for Cancer Immunity

2022 ◽  
Vol 8 ◽  
Author(s):  
Fei Chen ◽  
Yumei Fan ◽  
Xiaopeng Liu ◽  
Jianhua Zhang ◽  
Yanan Shang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Signaling Pathways ◽  
Immune Cells ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Clinicopathological Parameters ◽  
Immune Infiltration ◽  
Cancer Types ◽  
The Relationship ◽  
Pan Cancer

Heat shock factor 2 (HSF2), a transcription factor, plays significant roles in corticogenesis and spermatogenesis by regulating various target genes and signaling pathways. However, its expression, clinical significance and correlation with tumor-infiltrating immune cells across cancers have rarely been explored. In the present study, we comprehensively investigated the expression dysregulation and prognostic significance of HSF2, and the relationship with clinicopathological parameters and immune infiltration across cancers. The mRNA expression status of HSF2 was analyzed by TCGA, GTEx, and CCLE. Kaplan-Meier analysis and Cox regression were applied to explore the prognostic significance of HSF2 in different cancers. The relationship between HSF2 expression and DNA methylation, immune infiltration of different immune cells, immune checkpoints, tumor mutation burden (TMB), and microsatellite instability (MSI) were analyzed using data directly from the TCGA database. HSF2 expression was dysregulated in the human pan-cancer dataset. High expression of HSF2 was associated with poor overall survival (OS) in BRCA, KIRP, LIHC, and MESO but correlated with favorable OS in LAML, KIRC, and PAAD. The results of Cox regression and nomogram analyses revealed that HSF2 was an independent factor for KIRP, ACC, and LIHC prognosis. GO, KEGG, and GSEA results indicated that HSF2 was involved in various oncogenesis- and immunity-related signaling pathways. HSF2 expression was associated with TMB in 9 cancer types and associated with MSI in 5 cancer types, while there was a correlation between HSF2 expression and DNA methylation in 27 types of cancer. Additionally, HSF2 expression was correlated with immune cell infiltration, immune checkpoint genes, and the tumor immune microenvironment in various cancers, indicating that HSF2 could be a potential therapeutic target for immunotherapy. Our findings revealed the important roles of HSF2 across different cancer types.

scholarly journals Pan-Cancer Analysis of DNA Methylation Identifies Genes and Biological Functions Associated with Overall Survival

2021 ◽  
Author(s):  
Romola Grace Cavet ◽  
Peng Yue ◽  
Guy Lawrence Cavet
Keyword(s):  
Dna Methylation ◽  
Overall Survival ◽  
Cancer Biology ◽  
Gene Clusters ◽  
The Cancer Genome Atlas ◽  
Biological Functions ◽  
Cancer Types ◽  
Genomic Regions ◽  
The Relationship ◽  
Pan Cancer

DNA methylation influences gene expression and is altered in many cancers, but the relationship between DNA methylation and cancer outcomes is not yet fully understood. If methylation of specific genes is associated with better or worse outcomes, it could implicate genes in driving cancer and suggest therapeutic strategies. To advance our understanding of DNA methylation in cancer biology, we conducted a pan-cancer analysis of the relationship between methylation and overall survival. Using data on 28 tumor types from The Cancer Genome Atlas (TCGA), we identified genes and genomic regions whose methylation was recurrently associated with survival across multiple cancer types. While global DNA methylation levels are associated with outcome in some cancers, we found that the gene-specific associations were largely independent of these global effects. Genes with recurrent associations across cancer types were enriched for certain biological functions, such as immunity and cell-cell adhesion. While these recurrently associated genes were found throughout the genome, they were enriched in certain genomic regions, which may further implicate certain gene families and gene clusters in affecting survival. By finding common features across cancer types, our results link DNA methylation to patient outcomes, identify biological mechanisms that could explain survival differences, and support the potential value of treatments that modulate the methylation of tumor DNA.

scholarly journals Comprehensive Analysis of the Potential Immune-Related Biomarker Transporter Associated With Antigen Processing 1 That Inhibits Metastasis and Invasion of Ovarian Cancer Cells

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiaoxue Li ◽  
Shiyu Zeng ◽  
Yiling Ding ◽  
Yanting Nie ◽  
Mengyuan Yang
Keyword(s):  
Ovarian Cancer ◽  
Dna Methylation ◽  
Transcription Factors ◽  
Immune Checkpoint ◽  
Poor Prognosis ◽  
Antigen Processing ◽  
Malignant Tumors ◽  
Immunological Methods ◽  
Immune Infiltration ◽  
Checkpoint Genes

Transporter associated with antigen processing 1 (TAP1) is a protein related immune regulation and plays a role in several malignant tumors. However, the effect of TAP1 on immune infiltration, immunotherapy, and metastasis in different cancers has not been reported till date. The cancer genome atlas database, the tumor immune estimation resource database, and the estimation of stromal and immune cells in malignant tumors using expression (ESTIMATE) algorithm were used to determine the correlation between TAP1 expression and the prognosis of a variety of cancers, immune infiltration, immune checkpoint genes, DNA methylation, and neoantigens. Various enrichment analyses were used to study the correlation between TAP1 and key transcription factors using the Kyoto encyclopedia of genes and genomes (KEGG) pathway in ovarian cancer. Immunological methods were used to evaluate the expression of TAP1 protein in ovarian and cervical cancer, and Kaplan–Meier analysis was used to analyze the prognostic value of TAP1. RNA interference (RNAi) was used to verify the effect of TAP1 on ovarian cancer. Compared with normal tissues, cancer tissues showed a significant increase in the expression of TAP1, and TAP1 expression was related to the poor prognosis of cancers such as ovarian cancer. The expression level of TAP1 was correlated with immune checkpoint genes, DNA methylation, tumor mutation burden, microsatellite instability, and neoantigens in various cancers. Our results showed that TAP1 was upregulated in ovarian cancer cell lines and was associated with poor prognosis. Further, we verified the expression of TAP1-related transcription factors (MEF2A and LEF1) and found that TAP1 was closely related to ovarian cancer metastasis in vitro and in vivo. These results indicated that TAP1 could be used as a biomarker for the diagnosis and prognosis of cancer and as a new therapeutic target.

scholarly journals Integrative Analysis Reveals Comprehensive Altered Metabolic Genes Linking with Tumor Epigenetics Modification in Pan-Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Yahui Shi ◽  
Jinfen Wei ◽  
Zixi Chen ◽  
Yuchen Yuan ◽  
Xingsong Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Histone Acetylation ◽  
Epigenetic Modification ◽  
Metabolic Reprogramming ◽  
The Cancer Genome Atlas ◽  
Altered Expression ◽  
Metabolic Genes ◽  
Cancer Types ◽  
Pan Cancer

Background. Cancer cells undergo various rewiring of metabolism and dysfunction of epigenetic modification to support their biosynthetic needs. Although the major features of metabolic reprogramming have been elucidated, the global metabolic genes linking epigenetics were overlooked in pan-cancer. Objectives. Identifying the critical metabolic signatures with differential expressions which contributes to the epigenetic alternations across cancer types is an urgent issue for providing the potential targets for cancer therapy. Method. The differential gene expression and DNA methylation were analyzed by using the 5726 samples data from the Cancer Genome Atlas (TCGA). Results. Firstly, we analyzed the differential expression of metabolic genes and found that cancer underwent overall metabolism reprogramming, which exhibited a similar expression trend with the data from the Gene Expression Omnibus (GEO) database. Secondly, the regulatory network of histone acetylation and DNA methylation according to altered expression of metabolism genes was summarized in our results. Then, the survival analysis showed that high expression of DNMT3B had a poorer overall survival in 5 cancer types. Integrative altered methylation and expression revealed specific genes influenced by DNMT3B through DNA methylation across cancers. These genes do not overlap across various cancer types and are involved in different function annotations depending on the tissues, which indicated DNMT3B might influence DNA methylation in tissue specificity. Conclusions. Our research clarifies some key metabolic genes, ACLY, SLC2A1, KAT2A, and DNMT3B, which are most disordered and indirectly contribute to the dysfunction of histone acetylation and DNA methylation in cancer. We also found some potential genes in different cancer types influenced by DNMT3B. Our study highlights possible epigenetic disorders resulting from the deregulation of metabolic genes in pan-cancer and provides potential therapy in the clinical treatment of human cancer.

scholarly journals Cyclin-Dependent Kinase and Antioxidant Gene Expression in Cancers with Poor Therapeutic Response

2020 ◽  
Vol 13 (2) ◽  
pp. 26
Author(s):  
George S. Scaria ◽  
Betsy T. Kren ◽  
Mark A. Klein
Keyword(s):  
Hepatocellular Carcinoma ◽  
Pancreatic Cancer ◽  
Antioxidant Defense ◽  
Treatment Strategies ◽  
The Cancer Genome Atlas ◽  
Cyclin Dependent Kinase ◽  
Critical Pathways ◽  
Cancer Genome Atlas ◽  
Antioxidant Gene Expression ◽  
Pan Cancer

Pancreatic cancer, hepatocellular carcinoma (HCC), and mesothelioma are treatment-refractory cancers, and patients afflicted with these cancers generally have a very poor prognosis. The genomics of these tumors were analyzed as part of The Cancer Genome Atlas (TCGA) project. However, these analyses are an overview and may miss pathway interactions that could be exploited for therapeutic targeting. In this study, the TCGA Pan-Cancer datasets were queried via cBioPortal for correlations among mRNA expression of key genes in the cell cycle and mitochondrial (mt) antioxidant defense pathways. Here we describe these correlations. The results support further evaluation to develop combination treatment strategies that target these two critical pathways in pancreatic cancer, hepatocellular carcinoma, and mesothelioma.

CD8A and HAPLN3 expression profiling to reveal an immunologic subtype of bladder cancer with favorable survival.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15193-e15193
Author(s):  
Jingjiao Ma ◽  
Ning He ◽  
Jianfei Wang ◽  
Lingyu Wang ◽  
Ge Jin ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Immune Checkpoint ◽  
Checkpoint Inhibitors ◽  
Pearson Correlation ◽  
Disease Free Survival ◽  
Correlation Coefficients ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Specific Gene ◽  
Checkpoint Genes

e15193 Background: At present, immune checkpoint inhibitors (ICI) have demonstrated robust anti-tumor activity with a favorable safety in bladder cancer (BLCA). However, less than half of BLCA patients respond to immunotherapy. We aimed to further delineate the immunologic subtype of BLCA to pick patients who might benefit from ICI treatment. Methods: The RNA-seq and clinical data were collected from The Cancer Genome Atlas (TCGA) data portal (n = 408) and Gene Expression Omnibus (GEO) (GSE48075, n = 142; GSE32894, n = 308). TCGA and GSE48075 cohort are the discovery datasets, and GSE32894 cohort is used for validation. According to the expression of every specific gene ( Gi), patients were divided into two groups using median FPKM as cutpoint value, namely Gi_high and Gi_low, respectively. Combined with CD8A expression, all the patients were divided to four groups as follows: CD8A_high/ Gi_high, CD8A_high/ Gi_low, CD8A_low/ Gi_high, and CD8A_low/ Gi_low. Then we calculated the pearson correlation coefficients between Gi and 13 immune checkpoint genes ( CD274, IDO1, CTLA4, LAG3, CD276, VTCN1, CD70, HAVCR2, CD40, CD47, TNFRSF18, TIGIT, and TNFSF14). Overall or disease free survival of the four groups were compared using the survfit function from the survival R package and P values from log-rank tests were reported. Results: In the discovery cohort, we found CD8A_high/ HAPLN3_low group showed the best overall survival, whereas the CD8A_low/ HAPLN3_high showed the worst (TCGA, p = 0.013; GSE48075, p = 0.012). Additionally, HAPLN3 was positively correlated with 5/13 immune-checkpoint genes: CD274, IDO1, CTLA4, LAG3, HAVCR2 (r > 0.6, p < 0.01). And the same observations were extended in the validation cohort (GSE32894): CD8A_high/ HAPLN3_low group exhibited a favorable survival (p = 0.00059), and HAPLN3 had a strong correlation with the same 5 immune-checkpoint genes (r > 0.6, p < 0.01). Conclusions: The combination of high CD8A and low HAPLN3 expression identified a subtype of BLCA patients with favorable survival and these findings may further help refining the selection of BLCA patients for immunotherapy.

scholarly journals CPXM1: a novel biomarker for gastric cancer prognosis

2021 ◽  
Author(s):  
Jun Du ◽  
Mengxiang Zhu ◽  
Wenwu Yan ◽  
Changsheng Yao ◽  
Qingyi Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Signal Pathways ◽  
Data Set ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Cox Proportional Hazard Regression ◽  
The Relationship

Abstract Background The molecular role of carboxypeptidase X, M14 family member (CPXM1) in oncogenesis or tumor progression remains unclear. The aim of this study was to determine whether CPXM1 can be used as a potential prognostic biomarker for gastric cancer (GC). Methods We first demonstrated the relationship between CPXM1 expression and GC in various public databases. Secondly, the expression of CPXM1 in GC tissues was further verified by immunohistochemical staining using tissue microarray containing 96 cases of GC patients. Kaplan–Meier analysis and a Cox proportional hazard regression model were performed to evaluate the relationship between the expression of CPXM1 and the survival of GC patients. Finally, we used the expression data of CPXM1 in The Cancer Genome Atlas database to predict CPXM1-related signaling pathways through bioinformatics analysis. Results The expression level of CPXM1 in GC tissues was significantly correlated with tumor size (p = 0.041) and lymph node metastasis (p = 0.014). In addition, Kaplan–Meier analysis showed that the expression of CPXM1 in GC tissues was significantly associated with poor prognosis (p = 0.011). Multivariate analysis indicated that CPXM1 is a potential predictor of poor prognosis in GC patients (p = 0.026). The results of biosynthesis analysis demonstrated that the data set of CPXM1 high expression was mainly enriched in cancer-related signal pathways. Conclusion CPXM1 is an effective biomarker for the prognosis of GC patients and may play a key role in the occurrence and progression of GC.

scholarly journals SPP1 Might Be a Novel Prognostic Biomarker for Patients With Malignancy: a Meta-analysis and Sequential Verification Based on Bioinformatic Analysis

2020 ◽  
Author(s):  
Hao-ran Zheng ◽  
Ai-Min Jiang ◽  
Na Liu ◽  
Qian-Qian Ding ◽  
Fu-Mei Zhao ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Lipid Metabolism ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tumor Grade ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Expression Level ◽  
Cochrane Library ◽  
The Relationship

Abstract Background: Several studies have investigated the relationship between secreted phosphoprotein 1 (SPP1) expression level and prognosis of various tumors, but the results are far from conclusive. Therefore, we performed the present meta-analysis to investigate the prognostic value of SPP1 in pan-cancer. Furthermore, a followed confirmation based on The Cancer Genome Atlas (TCGA) database was also performed to verify our results.Methods: We performed a systematic search from PubMed, Embase, Web of Science, and Cochrane Library databases and 19 articles, including 3403 patients and 9 types of tumors, were pooled in our meta-analysis. Overall survival (OS) and disease-free survival (DFS), which correlated with SPP1 expression, were considered as the primary outcome. Subgroup analyses, sensitivity analysis, and publication bias were used to investigate heterogeneity and reliability of the results. Furthermore, we also explored the relationship between SPP1 expression and clinical parameters of tumor patients. Finally, the results were verified with TCGA database and we further explored the relationship between SPP1 expression and tumor immuno-microenvironment (TIME), DNA methylation, and enriched gene pathway.Results: Our meta-analysis showed that high-expressed SPP1 was significantly related to poor OS and DFS in various cancers, especially in liver hepatocellular carcinoma (LIHC). Furthermore, we also identified that the high expression level of SPP1 was significantly correlated with tumor grade. The expression level of SPP1 in the majority of tumor types were much higher than the corresponding normal tissues analyzed from databases. Besides, we also observed that high-expressed SPP1 was related to poor OS and DFS in LIHC, which supported the conclusion of meta-analysis. In addition, high-expressed SPP1 is related to 6 immune cells in TIME and DNA methylation regulatory genes. Ultimately, the results of Gene Set Enrichment Analysis (GSEA) suggested that tumor-related gene sets, such as hypoxia and lipid metabolism, were significantly enriched in high-expressed SPP1 group.Conclusions: SPP1 is high-expressed in various tumor tissues and correlated with poor prognosis. SPP1 might promote cancer invasion and metastasis by affecting tumor grade, TIME, DNA methylation, hypoxia, and lipid metabolism. SPP1 is expected to become a new clinical indicator for tumor detection and prognosis, and provide a new idea for tumor targeted therapy.

scholarly journals SPP1 Might Be A Novel Prognostic Biomarker For Patients With Malignancy: A Meta-Analysis And Sequential Verification Based on Bioinformatic Analysis

2020 ◽  
Author(s):  
Haoran Zheng ◽  
Ai-Min Jiang ◽  
Na Liu ◽  
Qian-Qian Ding ◽  
Fu-Mei Zhao ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Lipid Metabolism ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Tumor Grade ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Expression Level ◽  
Cochrane Library ◽  
The Relationship

Abstract Background: Several studies have investigated the relationship between secreted phosphoprotein 1 (SPP1) expression level and prognosis of various tumors, but the results are far from conclusive. Therefore, we performed the present meta-analysis to investigate the prognostic value of SPP1 in pan-cancer. Furthermore, a followed confirmation based on The Cancer Genome Atlas (TCGA) database was also performed to verify our results.Methods: We performed a systematic search from PubMed, Embase, Web of Science, and Cochrane Library databases and 19 articles, including 3403 patients and 9 types of tumors, were pooled in our meta-analysis. Overall survival (OS) and disease-free survival (DFS), which correlated with SPP1 expression, were considered as the primary outcome. Subgroup analyses, sensitivity analysis, and publication bias were used to investigate heterogeneity and reliability of the results. Furthermore, we also explored the relationship between SPP1 expression and clinical parameters of tumor patients. Finally, the results were verified with TCGA database and we further explored the relationship between SPP1 expression and tumor immuno-microenvironment (TIME), DNA methylation, and enriched gene pathway.Results: Our meta-analysis showed that high-expressed SPP1 was significantly related to poor OS and DFS in various cancers, especially in liver hepatocellular carcinoma (LIHC). Furthermore, we also identified that the high expression level of SPP1 was significantly correlated with tumor grade. The expression level of SPP1 in the majority of tumor types were much higher than the corresponding normal tissues analyzed from databases. Besides, we also observed that high-expressed SPP1 was related to poor OS and DFS in LIHC, which supported the conclusion of meta-analysis. In addition, high-expressed SPP1 is related to 6 immune cells in TIME and DNA methylation regulatory genes. Ultimately, the results of Gene Set Enrichment Analysis (GSEA) suggested that tumor-related gene sets, such as hypoxia and lipid metabolism, were significantly enriched in high-expressed SPP1 group.Conclusions: SPP1 is high-expressed in various tumor tissues and correlated with poor prognosis. SPP1 might promote cancer invasion and metastasis by affecting tumor grade, TIME, DNA methylation, hypoxia, and lipid metabolism. SPP1 is expected to become a new clinical indicator for tumor detection and prognosis, and provide a new idea for tumor targeted therapy.

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