Hybrid Model Integrating Immunohistochemistry and Expression Profiling for the Classification of Carcinomas of Unknown Primary Site-Reference-Cited by-同舟云学术

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Hybrid Model Integrating Immunohistochemistry and Expression Profiling for the Classification of Carcinomas of Unknown Primary Site

Published:2010-07 Issue:4 Volume:12 Page:476-486
ISSN:1525-1578
Container-title:The Journal of Molecular Diagnostics
language:en
Short-container-title:The Journal of Molecular Diagnostics

Author:

Centeno Barbara A.,Bloom Gregory,Chen Dung-Tsa,Chen Zhihua,Gruidl Mike,Nasir Aejaz,Yeatman Timothy Y.

Funder

National Institutes of Health, National Cancer Institute

Publisher

Elsevier BV

Subject

Molecular Medicine,Pathology and Forensic Medicine

Reference35 articles.

1. Multi-platform, multi-site, microarray-based human tumor classification;Bloom;Am J Pathol,2004

2. Gene expression profiling may improve diagnosis in patients with carcinoma of unknown primary;Bridgewater;Br J Cancer,2008

3. Identifying tumor origin using a gene expression-based classification map;Buckhaults;Cancer Res,2003

4. Organ-specific molecular classification of primary lung, colon, and ovarian adenocarcinomas using gene expression profiles;Giordano;Am J Pathol,2001

5. Molecular classification of human cancers using a 92-gene real-time quantitative polymerase chain reaction assay;Ma;Arch Pathol Lab Med,2006

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2. A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation;Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease;2020-11

3. Predicting Cancer Tissue-of-Origin by a Machine Learning Method Using DNA Somatic Mutation Data;Frontiers in Genetics;2020-07-14

4. TOOme: A Novel Computational Framework to Infer Cancer Tissue-of-Origin by Integrating Both Gene Mutation and Expression;Frontiers in Bioengineering and Biotechnology;2020-05-19

5. Progress in refining the clinical management of cancer of unknown primary in the molecular era;Nature Reviews Clinical Oncology;2020-04-29

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