Panel of serum biomarkers for the diagnosis of lung cancer. - Wikidata - wikimedia - TriplyDB

Panel of serum biomarkers for the diagnosis of lung cancer.

Panel of serum biomarkers for the diagnosis of lung cancer.

http://www.wikidata.org/entity/Q46861404

about

"Sentinel" circulating tumor cells allow early diagnosis of lung cancer in patients with chronic obstructive pulmonary disease Update in lung cancer 2007 Collagen XXIII: a potential biomarker for the detection of primary and recurrent non-small cell lung cancer Epidemiology of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines A Highly Efficient Gene Expression Programming (GEP) Model for Auxiliary Diagnosis of Small Cell Lung Cancer Unlocking biomarker discovery: large scale application of aptamer proteomic technology for early detection of lung cancer Nanostructured optical photonic crystal biosensor for HIV viral load measurement.A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from high-risk individuals found to be cancer-free by CT screening Advances in proteomic strategies toward the early detection of lung cancer Gene expression profiles in peripheral blood mononuclear cells can distinguish patients with non-small cell lung cancer from patients with nonmalignant lung disease.Imaging and 'omic' methods for the molecular diagnosis of cancer.Diagnostic characteristics of a serum biomarker in patients with positron emission tomography scans.Detection of lung cancer using plasma protein profiling by matrix-assisted laser desorption/ionization mass spectrometry.Identification of lung cancer with high sensitivity and specificity by blood testing.Improving Detection Accuracy of Lung Cancer Serum Proteomic Profiling via Two-Stage Training Process.Validation of a blood protein signature for non-small cell lung cancer Proteomic analysis of human saliva from lung cancer patients using two-dimensional difference gel electrophoresis and mass spectrometry Identification of candidate biomarkers for early detection of human lung squamous cell cancer by quantitative proteomics.The potential role of ORM2 in the development of colorectal cancer.National Lung Cancer Screening Trial American College of Radiology Imaging Network Specimen Biorepository originating from the Contemporary Screening for the Detection of Lung Cancer Trial (NLST, ACRIN 6654): design, intent, and availability of spec Serum unsaturated free Fatty acids: potential biomarkers for early detection and disease progression monitoring of non-small cell lung cancer.Identification of novel low molecular weight serum peptidome biomarkers for non-small cell lung cancer (NSCLC).Mass spectrometry-based proteomics: the road to lung cancer biomarker discovery.Integrative proteomics and tissue microarray profiling indicate the association between overexpressed serum proteins and non-small cell lung cancer Multiplexed volumetric bar-chart chip for point-of-care diagnostics The value of surface enhanced laser desorption/ionization-time of flight mass spectrometry at the diagnosis of non-small cell lung cancer: a systematic review.An empirical assessment of validation practices for molecular classifiers Serum biomarkers reflecting specific tumor tissue remodeling processes are valuable diagnostic tools for lung cancer.Insulin-like growth factor binding protein-2 level is increased in blood of lung cancer patients and associated with poor survival.Serum peptidomic profiling identifies a minimal residual disease detection and prognostic biomarker for patients with acute leukemia.Urinary protein biomarkers in the early detection of lung cancer.Performance of a multiplexed dual analyte immunoassay for the early detection of non-small cell lung cancer.Serum peptide pattern that differentially diagnoses hepatitis B virus-related hepatocellular carcinoma from liver cirrhosis.Lung cancer proteomics: recent advances in biomarker discovery Carbonic anhydrase 1 is a promising biomarker for early detection of non-small cell lung cancer.Oncoproteomics: Trials and tribulations.High sensitivity automated multiplexed immunoassays using photonic crystal enhanced fluorescence microfluidic system Serum biomarker panels for the diagnosis of gastric adenocarcinoma.Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium Diagnostic value of CYFRA 21-1 and CEA for predicting lymph node metastasis in operable lung cancer

P2860

Q21131903-62969DA7-200E-4971-AF49-16A755EC772F Q22241904-D8783E3F-B7A8-4C1C-92BB-2A2052554997 Q24600990-ED8A0A1C-CA5A-40E9-B0E1-F864A3A975EB Q27023830-8230CB8B-4A32-46EC-93A1-CAC5377669CA Q28547421-6E4E3786-7FC3-40CA-A410-C60014A9550E Q28744369-D59F679D-1318-4032-8592-F28D0CE7DB85 Q30442145-C1EBC265-ED7D-475D-8493-6078CD14DA8C Q30511822-5D09F3C8-17E7-4AAA-A2F0-EA5227246493 Q31008766-90DE5B42-209C-49D6-9A59-DFFEF8986864 Q33559278-9E7AC4F3-E666-4811-852E-52FEFCA20AC7 Q33577268-2AAAB781-00B8-4302-82CF-6BA3D5CC3138 Q33584655-3AFDEFB4-4A08-467D-88DD-DC22947794A3 Q33631062-B31DA83F-EADF-41F9-BBE3-E207610A78B8 Q33705551-2F29C0D1-4959-47E6-AC82-4ABF25CF4D4D Q33874499-D49E0CE2-5599-424A-800A-999575604C43 Q34008245-8039B0C2-38B0-4E90-937B-9C353AC71A16 Q34077576-167E6F1A-D540-4724-81D0-AF4CC27B5504 Q34148738-1EB93520-4F1D-4447-A502-3F212D65879B Q34171477-3AF55CC1-8C53-4B3D-8ABF-9AF1F1DBB8D7 Q34237215-F3C4B7A9-99A5-4AA7-837F-22544669F635 Q34241084-F0164544-7702-4A4F-AC8D-315243B2E27A Q34281288-0B6BAB1F-C5BB-477B-A1F3-6B6F40910078 Q34350615-A6FBB182-B39C-4215-9306-52E8767470EF Q34532251-3558CF40-E66C-4001-B987-D655AFEB39E9 Q34700249-E108F996-7C8A-4D75-AD8E-0A50D0803E97 Q34829225-2ED33B26-14BF-45D6-A7DA-468774E97CF9 Q34933977-5B5102B6-6F57-4A48-B575-2A8F1B2C93AF Q34998455-95E6DA14-A47A-4583-AC81-BECE1B064549 Q34999407-FA6450F0-028F-475B-9130-8059FC89731B Q35030141-FB5A9BD1-60FF-4C09-8D23-A7F430909272 Q35044516-55DDF97D-B19F-4502-A3B1-59E3D774AFF2 Q35104929-C7AD0EA7-BD43-479F-B9F8-FC34954F147A Q35115406-ED8E27F5-7AC3-44B7-9B7C-3129CC8236AE Q35389059-FE890B80-C7D0-4B00-9098-6D904D588637 Q35732686-5E8170C3-8B9D-438E-9DF0-522766A94DCB Q35827653-F853339C-EABE-43A9-8E85-AB74158F20FF Q35875983-AEBEC35F-4DE4-4A97-8738-7FA35E9149DA Q35879848-8FE32300-81E0-4D72-8F48-60AAD75FDC24 Q35957217-CE543315-CCD4-4FFC-9993-074FC461C9AD Q35959035-83E8158C-B38F-4A6C-B7BC-487E96476038

P2860

Panel of serum biomarkers for the diagnosis of lung cancer.

http://www.wikidata.org/entity/Q46861404

description

2007 nî lūn-bûn

@nan

2007年の論文

@ja

2007年学术文章

@wuu

2007年学术文章

@zh

2007年学术文章

@zh-cn

2007年学术文章

@zh-hans

2007年学术文章

@zh-my

2007年学术文章

@zh-sg

2007年學術文章

@yue

2007年學術文章

@zh-hant

name

Panel of serum biomarkers for the diagnosis of lung cancer.

@en

Panel of serum biomarkers for the diagnosis of lung cancer.

@nl

type

label

Panel of serum biomarkers for the diagnosis of lung cancer.

@en

Panel of serum biomarkers for the diagnosis of lung cancer.

@nl

prefLabel

Panel of serum biomarkers for the diagnosis of lung cancer.

@en

Panel of serum biomarkers for the diagnosis of lung cancer.

@nl

P1433

Q46861404-BC2798E7-798B-4C38-B322-2361CFADF3A5

P1476

Q46861404-6FB210CC-760D-4A16-8D64-307876203CB9

P2093

Q46861404-1580CD30-1C11-466D-B991-0CFF71E6663A

Q46861404-21DA3E67-E6B3-4C15-86E6-F51125CB4C56

Q46861404-75FEE4FA-9E10-4C8F-A08A-90A93B64E601

Q46861404-C8049D4D-F38C-495E-87AD-BB52C5AA8527

Q46861404-DD8EE71A-FCCF-4CB8-B6DF-EC4CF4D6E9F5

Q46861404-FCBB8619-B071-4B3B-9A2C-6252C2A8A837

P304

Q46861404-A262E4A1-8243-48FC-9513-5507977001CA

P31

Q46861404-81591F59-3A9A-4F7D-94BD-993DD5DC6C62

P356

Q46861404-9E241A3C-E430-4FFE-8666-90375A4CDDA2

P407

Q46861404-706924FF-1832-44F6-968C-39DDF03CBD8D

P433

Q46861404-7DF22E1C-DEAD-4FED-8810-46CDEF8C0F31

P478

Q46861404-C2973839-B003-4F50-A7B0-323B7E1328D4

P577

Q46861404-D3ED632E-A748-4655-89B3-4E147C901DD3

P698

Q46861404-38089DA7-EBFF-4F58-A4F2-425C6E955BAC

P356

JCO.2007.13.5392

P1433

Journal of Clinical Oncology

P1476

Panel of serum biomarkers for the diagnosis of lung cancer.

@en

P2093

Edward F Patz

http://www.w3.org/2001/XMLSchema#string

Elizabeth B Gottlin

http://www.w3.org/2001/XMLSchema#string

Irina Kusmartseva

http://www.w3.org/2001/XMLSchema#string

James E Herndon

http://www.w3.org/2001/XMLSchema#string

Michael J Campa

http://www.w3.org/2001/XMLSchema#string

Xiang Rong Guan

http://www.w3.org/2001/XMLSchema#string

P304

5578-5583

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1200/JCO.2007.13.5392

http://www.w3.org/2001/XMLSchema#string

P407

P433

35

http://www.w3.org/2001/XMLSchema#string

P478

25

http://www.w3.org/2001/XMLSchema#string

P577

2007-12-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

18065730

http://www.w3.org/2001/XMLSchema#string