TIMP1 mRNA in tumor-educated platelets is diagnostic biomarker for colorectal cancer

Liu, Yang; Jiang, Qian; Li, Dongzheng; Zhou, Xin; Yu, Dongsheng; Zhong, Jian

doi:10.18632/aging.102366

Cited by 52 publications

(46 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After chemotherapy, high expression levels of TIMP1 in the serum have been closely related to the decline over survival (OS) [ 38 ]. Moreover, knockdown of TIMP1 leads to decreased proliferation of HT29 cells [ 39 ]. Huang et al [ 40 ], Zeng et al [ 41 ], and Zuo et al [ 42 ] demonstrated that the expression levels of TIMP1 may be negatively correlated with the prognosis of COAD patients.…”

Section: Discussionmentioning

confidence: 99%

Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis

Liu

Dong

et al. 2020

Bioscience Reports

View full text Add to dashboard Cite

Background: Colorectal cancer (CRC) is the third most lethal malignancy in the world, wherein colon adenocarcinoma (COAD) is the most prevalent type of CRC. Exploring biomarkers is important for the diagnosis, treatment, and prevention of COAD. Methods: We used GEO2R and Venn online software for differential gene screening analysis. Hub genes were screened via Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape, following Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Finally, survival analysis and RNA expression validation were performed via UALCAN online software and real-time PCR. Immunohistochemistry (IHC) was performed to verify the protein expression level of hub genes from tissues of COAD patients. Results: In the present study, we screened 323 common differentially expressed genes (DEGs) from four GSE datasets. Furthermore, four hub genes were selected for survival correlation analysis and expression level verification, three of which were shown to be statistically significant. Conclusion: Our study suggests that Serpin Family E Member 1 (SERPINE1), secreted phosphoprotein 1 (SPP1) and tissue inhibitor of metalloproteinase 1 (TIMP1) may be biomarkers closely related to the prognosis of CRC patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis

Liu

Dong

et al. 2020

Bioscience Reports

View full text Add to dashboard Cite

show abstract

“…After chemotherapy, high expression levels of TIMP1 in the serum have been closely related to the decline over survival (OS) [38]. Moreover, knockdown of TIMP1 leads to decreased proliferation of HT29 cells [39]. Huang [40], Zeng [41], and Zuo [42] et al demonstrated that the expression levels of TIMP1 may be negatively correlated with the prognosis of COAD patients.…”

Section: Discussionmentioning

confidence: 99%

Identification and verification of 3 key genes associated with survival and prognosis of patients with colon adenocarcinoma via integrated bioinformatics analysis

Liu¹,

Li²,

Dong

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Colorectal cancer (CRC) is the third most lethal malignancy in the world, wherein colon adenocarcinoma (COAD) is the most prevalent type of CRC.Exploring biomarkers is important for the diagnosis, treatment, and prevention of COAD. Methods: We used GEO2R and Venn online software for differential gene screening analysis. Hub genes were screened via STRING and Cytoscape, following Gene Ontology and KEGG enrichment analysis. Finally, survival analysis and expression validation were performed via UALCAN online software, real-time PCR and immunohistochemistry. Results: In this study, we screened 323 common differentially expressed genes from four GSE datasets. Furthermore, four hub genes were selected for survival correlation analysis and expression level verification, three of which were shown to be statistically significant. Conclusion: Our study suggests that SERPINE1, SPP1 and TIMP1 may be biomarkers closely related to the prognosis of CRC patients.

show abstract

“…al [13] have identified RNA profiles of TEPs can be used to diagnose cancer patients with 96% accuracy through NGS based on 283 blood platelet samples, isolated from healthy controls and patients with cancer. Furthermore, recent studies have demonstrated that TIMP1 and TGA2B mRNA in tumor-educated platelets are diagnostic biomarkers for colorectal cancer and lung cancer respectively [19,20]. In this study, integrating the NGS datasets, GSE68086 and GSE89843, downloaded from GEO datasets, we identified 43 TEPs genes were consistently differential expressed through bioinformatic analysis, and they were involved in many biological processes including protein binding, extracellular matrix, cellular protein metabolic process, mitochondrial outer membrane and innate immune response in mucosa, and [40,41].…”

Section: Discussionmentioning

confidence: 99%

“…are diagnostic biomarkers for colorectal cancer and lung cancer respectively [19][20][21][22]. However, these reports have some limitations, including limited clinical samples, lacked cancer stage prediction and through them, only one single cancer species could be predicted.…”

Section: / 36mentioning

confidence: 99%

Identification of Potential Tumor-educated Platelets RNA Biomarkers for Pan Cancer Detection and Staging

Ge¹,

Yuan²,

Hu³

et al. 2020

Preprint

View full text Add to dashboard Cite

Cancer is a disturbing disease with high morbidity and mortality. Although medical technology has been developed rapidly, diagnosis of cancer is still complicated, difficult, as well as expensive. Furthermore, cancers are mostly diagnosed at an advanced stage. Platelets mRNA profiles are altered after educated by tumors. Thereby, tumor-educated platelets (TEPs) mRNA profiles have the potentially diagnostic value for cancers currently. We downloaded and analyzed the next-generation sequencing datasets, GSE68086 and GSE89843, by integrated bioinformatics. A total of 43 biomarker genes were selected for further pathway enrichment analysis and correlation analysis, as well as diagnostic analysis. Gene ontology (GO) analysis showed these 43 TEPs mRNAs were mostly involved in protein binding, extracellular matrix and cellular protein metabolic process. Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis revealed that genes were mainly enriched in metabolic process. Eventually, after taking these 43 genes into spearman correlation analysis and receiving operating characteristic (ROC) curve analysis, we identified: 1) TEPs RSL24D1 mRNA was negatively related to early pan cancer as compared to healthy controls, and potential for early pan cancer diagnosis with a sensitivity of 71.8%, and a specificity of 64.3%; 2) HPSE, IFI27, LGALS3BP, CRYM, HBD, COL6A3, LAMB2, and IFITM3 showed an upward trend in the expression from early to more advanced pan cancer stages. The sensitivity of the diagnostic value for pan cancer of these genes was 60.9%, 59.1%, 56.5%, 57.8%, 54.3%, 55.2%, 55.2%, 60.9%, and a specificity of 94.5%, 90.9%, 87.3%, 89.1%, 72.7%, 85.5%, 89.1%, 94.5% respectively; 3) ARL2, FCGR2A, and KLHDC8B were positively associated with advanced, metastatic pan cancer as compared to healthy controls and could be diagnostic indicators for advanced pan cancer with a sensitivity of 59.2%, 61.8%, 59.7%, and a specificity of 80%, 89.1%, 83.6%, respectively. In summary, our findings identified that the 12-gene TEP liquid-biopsy biomarkers will not only facilitate early diagnosis of pan cancer, but also be beneficial to pan cancer staging.

show abstract

TIMP1 mRNA in tumor-educated platelets is diagnostic biomarker for colorectal cancer

Cited by 52 publications

References 18 publications

Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis

Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis

Identification and verification of 3 key genes associated with survival and prognosis of patients with colon adenocarcinoma via integrated bioinformatics analysis

Identification of Potential Tumor-educated Platelets RNA Biomarkers for Pan Cancer Detection and Staging

Contact Info

Product

Resources

About