[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Jiang et al., 2021 - Google Patents

CCT6A, a novel prognostic biomarker for Ewing sarcoma

Jiang et al., 2021

View HTML
Document ID
11772907402776429037
Author
Jiang J
Liu C
Xu G
Liang T
Yu C
Liao S
Zhang Z
Lu Z
Wang Z
Chen J
Chen T
Li H
Zhan X
Publication year
Publication venue
Medicine

External Links

Snippet

Background: Ewing sarcoma (ES), the second most prevalent bone malignant tumor has no widely known prognostic biomarker. Earlier studies have suggested that chaperonin containing TCP1 complex 6A (CCT6A), which encodes a molecular protein chaperone, is …
Continue reading at journals.lww.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers
    • G01N33/57415Specifically defined cancers of breast
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Hybridisation probes
    • C12Q1/6883Hybridisation probes for diseases caused by alterations of genetic material
    • C12Q1/6886Hybridisation probes for diseases caused by alterations of genetic material for cancer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism

Similar Documents

Publication Publication Date Title
Dai et al. An immune-related gene signature for predicting survival and immunotherapy efficacy in hepatocellular carcinoma
Liang et al. A lncRNA signature associated with tumor immune heterogeneity predicts distant metastasis in locoregionally advanced nasopharyngeal carcinoma
Jiang et al. CCT6A, a novel prognostic biomarker for Ewing sarcoma
Liao et al. Genome-scale analysis to identify prognostic microRNA biomarkers in patients with early stage pancreatic ductal adenocarcinoma after pancreaticoduodenectomy
Wang et al. Identification of a six-gene signature associated with tumor mutation burden for predicting prognosis in patients with invasive breast carcinoma
Wang et al. A novel metabolism-related signature as a candidate prognostic biomarker for hepatocellular carcinoma
Fu et al. Preoperative serum ctDNA predicts early hepatocellular carcinoma recurrence and response to systemic therapies
Zhao et al. Construction and verification of a hypoxia-related 4-lncRNA model for prediction of breast cancer
Huo et al. Identification of a six-gene signature for predicting the overall survival of cervical cancer patients
Chen et al. Deciphering the tumor microenvironment cell–infiltrating landscape reveals microenvironment subtypes and therapeutic potentials for nonsquamous NSCLC
Wang et al. Prognostic implications of an autophagy-based signature in colorectal cancer
Liu et al. DZIP1 expression as a prognostic marker in gastric cancer: a bioinformatics-based analysis
Ye et al. Identification of key genes for HNSCC from public databases using bioinformatics analysis
Wang et al. SLCO4A1 is a prognosis-associated biomarker involved in neutrophil-mediated immunity in thyroid cancer
Li et al. Individualized prognostic signature for pancreatic carcinoma validated by integrating immune-related gene pairs (IRGPs)
Meng et al. Use of single cell transcriptomic techniques to study the role of high-risk human papillomavirus infection in cervical cancer
Cao et al. Identification of the cell cycle characteristics of non-small cell lung cancer and its relationship with tumor immune microenvironment, cell death pathways, and metabolic reprogramming
Fan et al. SLC6A8 is a potential biomarker for poor prognosis in lung adenocarcinoma
Zhou et al. Identification of a 3‑mRNA signature as a novel potential prognostic biomarker in patients with ovarian serous cystadenocarcinoma in G2 and G3
Wang et al. Exploration of estrogen receptor‑associated hub genes and potential molecular mechanisms in non‑smoking females with lung adenocarcinoma using integrated bioinformatics analysis
Mairé et al. Biomarkers associated with lymph nodal metastasis in endometrioid endometrial carcinoma
Xu et al. Stromal score is a promising index in tumor patients’ outcome determination
Xia et al. Identifying TME signatures for cervical cancer prognosis based on GEO and TCGA databases
Chen et al. Identification and validation of hub genes predicting prognosis of hepatocellular carcinoma
Chen et al. Clinical value for diagnosis and prognosis of signal sequence receptor 1 (SSR1) and its potential mechanism in hepatocellular carcinoma: A comprehensive study based on high-throughput data analysis