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Hongjuan Zhao

Researcher at Stanford University

Publications -  62
Citations -  3246

Hongjuan Zhao is an academic researcher from Stanford University. The author has contributed to research in topics: Prostate cancer & Clear cell renal cell carcinoma. The author has an hindex of 27, co-authored 53 publications receiving 2920 citations. Previous affiliations of Hongjuan Zhao include Washington University in St. Louis.

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Different Gene Expression Patterns in Invasive Lobular and Ductal Carcinomas of the Breast

TL;DR: Over half of the ILCs differ from IDCs not only in histological and clinical features but also in global transcription programs, and the remaining I LCs closely resemble IDCs in their transcription patterns.
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Molecular Stratification of Clear Cell Renal Cell Carcinoma by Consensus Clustering Reveals Distinct Subtypes and Survival Patterns

TL;DR: Using patterns of gene expression based on a defined gene set, ccRCC was classified into two robust subclasses based on inherent molecular features that ultimately correspond to marked differences in clinical outcome, and was independently associated with survival.
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TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer

TL;DR: TP53 mutation status and gene-expression based groups are important survival markers of breast cancer, and these molecular markers may provide prognostic information that complements clinical variables, according to an ongoing characterization and classification of the disease.
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Synaptic transmission deficits in Caenorhabditis elegans synaptobrevin mutants.

TL;DR: It is demonstrated that synaptobrevin is essential for viability and is required for functional synaptic transmission, however, the analysis suggests that transmitter release is not completely eliminated by removal of either one or both v-SNAREs.
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Gene Expression Profiling Predicts Survival in Conventional Renal Cell Carcinoma

TL;DR: In this article, a set of 259 genes were identified that predict disease-specific survival among patients in the independent validation group (p < 0.001), in multivariate analysis, the gene expression predictor was a strong predictor of survival independent of tumor stage, grade, and performance status.