M
Martha Arellano
Researcher at University of California, Los Angeles
Publications - 5
Citations - 777
Martha Arellano is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Cancer & Biomarker discovery. The author has an hindex of 5, co-authored 5 publications receiving 705 citations.
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Journal ArticleDOI
Salivary Proteomics for Oral Cancer Biomarker Discovery
Shen Hu,Martha Arellano,Pinmanee Boontheung,Jianghua Wang,Hui Zhou,Jiang Jiang,David Elashoff,Roger Wei,Joseph A. Loo,David T.W. Wong +9 more
TL;DR: Patient-based saliva proteomics is a promising approach to searching for OSCC biomarkers and the discovery of these new targets may lead to a simple clinical tool for the noninvasive diagnosis of oral cancer.
Journal ArticleDOI
Prevalidation of Salivary Biomarkers for Oral Cancer Detection
David Elashoff,Hui Zhou,Jean Reiss,Jianghua Wang,Hua Xiao,Bradley S. Henson,Shen Hu,Martha Arellano,Uttam K. Sinha,Anh Le,Diana V. Messadi,Marilene B. Wang,Vishad Nabili,Mark W. Lingen,Darly Morris,Timothy W. Randolph,Ziding Feng,David Akin,Dragana A. Kastratović,David Chia,Elliot Abemayor,David T.W. Wong +21 more
TL;DR: The validation of seven mRNAs and three proteins previously reported as biomarkers showed their feasibility in the discrimination of OSCCs from healthy controls and established assay technologies are robust enough to perform independently.
Journal ArticleDOI
Identification of autoantibody biomarkers for primary Sjogren's syndrome using protein microarrays
Shen Hu,Arjan Vissink,Martha Arellano,Caroline Roozendaal,Hui Zhou,Cees G. M. Kallenberg,David T.W. Wong +6 more
TL;DR: The identified saliva autoantibody biomarkers may lead to a clinical tool for simple, noninvasive detection of pSS at low cost and all were successfully validated with ELISA.
Journal ArticleDOI
Current advances in identification of cancer biomarkers in saliva.
TL;DR: This article summarizes the current advances in searching for potential biomarkers in saliva for human cancers, especially head and neck/oral cancers with the new molecular profiling technologies such as microarray and proteomics.
Journal ArticleDOI
Quantification of Serum Proteins of Metastatic Oral Cancer Patients Using LC-MS/MS and iTRAQ Labeling.
TL;DR: This study showed that iTRAQ labeling and LIT-MS with PQD is a valuable approach to quantification of serum proteins, and demonstrated the presence of differentially expressed serum proteins between non-metastatic and metastatic OSCCs that may be further validated as biomarkers.