2020
DOI: 10.1080/21655979.2020.1847398
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Development of cancer prognostic signature based on pan-cancer proteomics

Abstract: Utilizing genomic data to predict cancer prognosis was insufficient. Proteomics can improve our understanding of the etiology and progression of cancer and improve the assessment of cancer prognosis. And the Clinical Proteomic Tumor Analysis Consortium (CPTAC) has generated extensive proteomics data of the vast majority of tumors. Based on CPTAC, we can perform a proteomic pan-carcinoma analysis. We collected the proteomics data and clinical features of cancer patients from CPTAC. Then, we screened 69 differen… Show more

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Cited by 7 publications
(2 citation statements)
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“…With the help of CRTAC database, SPOCK2, HSD17B4, ACAA1, and PXMP4 were identified as the novel biomarkers for NSCLC diagnosis and prognosis 24,25. Next, we will furtherly analyze the expression pattern and function of ANKRD49 in LUSC by integrating into the CPTAC proteomics database, Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database 26,27. Moreover, lung adenocarcinoma, another subtype of NSCLC will be incorporated to analyze the expression pattern and function of ANKRD49 by using joint analysis of the microarray-based and CPTAC-based data to explore the value of ANKRD49 as a biomarker for NSCLC.…”
Section: Discussionmentioning
confidence: 99%
“…With the help of CRTAC database, SPOCK2, HSD17B4, ACAA1, and PXMP4 were identified as the novel biomarkers for NSCLC diagnosis and prognosis 24,25. Next, we will furtherly analyze the expression pattern and function of ANKRD49 in LUSC by integrating into the CPTAC proteomics database, Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database 26,27. Moreover, lung adenocarcinoma, another subtype of NSCLC will be incorporated to analyze the expression pattern and function of ANKRD49 by using joint analysis of the microarray-based and CPTAC-based data to explore the value of ANKRD49 as a biomarker for NSCLC.…”
Section: Discussionmentioning
confidence: 99%
“…As previous study, RIPA lysis buffer was used to extract total protein from mouse BMDMs and heart tissues [ 25 ]. Protein concentration was detected using a BCA kit.…”
Section: Methodsmentioning
confidence: 99%