A5100600903- Breast Cancer Treatment Studies
- HER2/EGFR in Cancer Research
- Gene expression and cancer classification
- Tea Polyphenols and Effects
- Cancer Genomics and Diagnostics
- Monoclonal and Polyclonal Antibodies Research
- Hybrid Renewable Energy Systems
- Molecular Biology Techniques and Applications
- Cancer Cells and Metastasis
- AI in cancer detection
- Advanced Battery Technologies Research
- Electrocatalysts for Energy Conversion
- Plant and Fungal Species Descriptions
- Bioinformatics and Genomic Networks
- Cancer Treatment and Pharmacology
- Genomics and Chromatin Dynamics
- Ecology and biodiversity studies
- Wildlife Ecology and Conservation
- Bat Biology and Ecology Studies
- Photosynthetic Processes and Mechanisms
- Mycotoxins in Agriculture and Food
- Fungal and yeast genetics research
- Advanced battery technologies research
- Lung Cancer Treatments and Mutations
- Fuel Cells and Related Materials
Zhejiang University
2023-2024
Hunan City University
2018-2024
University of North Carolina at Chapel Hill
2009-2023
ARUP Institute for Clinical and Experimental Pathology
2009-2023
UNC Lineberger Comprehensive Cancer Center
2004-2021
South China University of Technology
2021
Segeberger Kliniken
2004-2020
Hunan Agricultural University
2019-2020
Institute of Oceanology
2017
Chinese Academy of Sciences
2017
Purpose To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression–based “intrinsic” subtypes luminal A, B, HER2-enriched, basal-like. Methods A 50-gene subtype predictor was developed using microarray quantitative reverse transcriptase polymerase chain reaction data from 189 prototype samples. Test sets 761 patients (no systemic therapy) were evaluated prognosis, 133 pathologic complete...
Abstract Purpose: Expression profiling studies classified breast carcinomas into estrogen receptor (ER)+/luminal, normal breast-like, HER2 overexpressing, and basal-like groups, with the latter two associated poor outcomes. Currently, there exist clinical assays that identify ER+/luminal HER2-overexpressing tumors, we sought to develop a assay for tumors. Experimental Design: To an immunohistochemical profile collected series of known tumors tested them protein patterns are characteristic...
Abstract Background Validation of a novel gene expression signature in independent data sets is critical step the development clinically useful test for cancer patient risk-stratification. However, validation often unconvincing because size set typically small. To overcome this problem we used publicly available breast and approach to fusion, order validate new tumor intrinsic list. Results A 105-tumor training containing 26 sample pairs was derive This list contained 1300 genes...
Abstract Background Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, characterized mammary tumor gene expression profiles from 13 different murine using DNA microarrays and compared resulting data those tumors. Results Unsupervised hierarchical clustering analysis showed that six (TgWAP- Myc , TgMMTV- Neu PyMT TgWAP- Int3 Tag TgC3(1)- ) yielded...
The prognosis of a patient with estrogen receptor (ER) and/or progesterone (PR) -positive breast cancer can be highly variable. Therefore, we developed gene expression-based outcome predictor for ER+ PR+ (ie, luminal) patients using biologic differences among these tumors.The MCF-7 cell line was treated 17beta-estradiol to identify estrogen-regulated genes. These genes were used develop an on training set 65 luminal epithelial primary carcinomas. then validated three independent published...
To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression-based "intrinsic" subtypes luminal A, B, HER2-enriched, basal-like.
CALGB 40603 (NCT00861705), a 2 × randomized phase II trial, demonstrated that adding carboplatin or bevacizumab to weekly paclitaxel (wP) followed by doxorubicin and cyclophosphamide significantly increased the pathologic complete response (pCR) rate in stage II-III triple-negative breast cancer. We now report long-term outcomes (LTOs) correlative science end points.The Kaplan-Meier method was used estimate LTOs 443 patients who initiated study treatment. Log-rank tests Cox proportional...
Abstract Microarray analysis has been shown to improve risk stratification of breast cancer. Breast tumors analyzed by hierarchical clustering expression patterns “intrinsic” genes have reported subdivide into at least four molecular subtypes that are associated with distinct patient outcomes. Using a supervised method, 70-gene profile identified predicts the later appearance or absence clinical metastasis in young cancer patients. Here, we show distant metastases display both same subtype...
Abstract Introduction Predicting the clinical course of breast cancer is often difficult because it a diverse disease comprised many biological subtypes. Gene expression profiling by microarray analysis has identified signatures that are important for prognosis and treatment. In current article, we use real-time quantitative reverse-transcription (qRT)-PCR assay to risk-stratify cancers based on 'intrinsic' subtypes proliferation. Methods sets were selected from data assess proliferation...
Abstract Background Tumor metastases pose the greatest threat to a patient's survival, and thus, understanding biology of disseminated cancer cells is critical for developing effective therapies. Methods Microarrays immunohistochemistry were used analyze primary breast tumors, regional (lymph node) metastases, distant in order identify biological features associated with metastases. Results When compared each other, tumors showed statistically indistinguishable gene expression patterns....
Despite the efficient suppression of HIV-1 replication that can be achieved with combined antiretroviral therapy (cART), low levels type I interferon (IFN-I) signaling persist in some individuals. This sustained may impede immune recovery and foster viral persistence. Here we report studies using a monoclonal antibody to block IFN-α/β receptor (IFNAR) humanized mice (hu-mice) were persistently infected HIV-1. We discovered effective cART restored number human cells HIV-1–infected hu-mice but...
African American breast cancer patients have lower frequency of hormone receptor-positive (HR+)/human epidermal growth factor receptor 2 (HER2)-negative disease and higher subtype-specific mortality. Racial differences in molecular subtype within clinically defined subgroups are not well understood.Using data biospecimens from the population-based Carolina Breast Cancer Study (CBCS) Phase 3 (2008-2013), we classified 980 invasive cancers using RNA expression-based PAM50 recurrence (ROR)...
In this study, we evaluated the ability of gene expression profiles to predict chemotherapy response and survival in triple-negative breast cancer (TNBC).
Abstract Industrial oil flax (Linum usitatissimum) and edible or solin differ markedly in seed linolenic acid levels. Despite the economic importance of low-linolenic-acid flax, molecular mechanism underlying this trait has not been established. Two independently inherited genes control flax. Here, we identified two genes, LuFAD3A LuFAD3B that encode microsomal desaturases capable desaturating linoleic acid. The deduced proteins encoded by these shared 95.4% identity. In line 593-708, both...
Abstract Background Genomic tests are available to predict breast cancer recurrence and guide clinical decision making. These predictors provide risk scores along with a measure of uncertainty, usually confidence interval. The interval conveys random error not systematic bias. Standard tumor sampling methods make this problematic, as it is common have substantial proportion (typically 30-50%) sample comprised histologically benign tissue. This "normal" tissue could represent source...
Abstract Purpose: Response to a complex trastuzumab-based regimen is affected by multiple features of the tumor and its microenvironment. Developing predictive algorithm key optimizing HER2-targeting therapy. Experimental Design: We analyzed 137 pretreatment tumors with mRNA-seq DNA exome sequencing from CALGB 40601, neoadjuvant phase III trial paclitaxel plus trastuzumab or without lapatinib in stage II HER2-positive breast cancer. adopted an Elastic Net regularized regression approach that...
Classification of breast cancer into intrinsic subtypes has clinical and epidemiologic importance. To examine accuracy IHC-based methods for identifying subtypes, a three-biomarker IHC panel was compared with the record RNA-based (PAM50) subtypes.Automated scoring estrogen receptor (ER), progesterone (PR), HER2 performed on IHC-stained tissue microarrays comprising 1,920 cases from African American Breast Cancer Epidemiology Risk (AMBER) consortium. Multiple cores (1-6/case) were collapsed...
Hydrogen production from photovoltaic arrays is a promising way to fully utilize the solar energy and relieve consumption pressure of power system. The low-cost mature alkaline water electrolysis suitable for large-scale hydrogen production. However, low-load inefficiency electrolyzers greatly limits their operation range (usually 40%∼100% rated load). Hence, are hard follow fluctuating in full range. Focusing on this problem, paper analyzes mechanism electrolyzers. It found that through...
Tumor-infiltrating lymphocytes (TIL) and immunity gene signatures have been reported to be significantly prognostic in breast cancer but not yet applied for calculation of risk recurrence clinical assays. A compact set 17 genes was derived herein from an Affymetrix-derived expression dataset including 1951 patients (AFFY1951). The demonstrated significant stratification estrogen receptor (ER)-negative with high proliferation expression. Further analysis blood single-cell RNA-seq datasets...
Breast cancer subtype can be classified using standard clinical markers (estrogen receptor (ER), progesterone (PR) and human epidermal growth factor 2 (HER2)), supplemented with additional markers. However, automated biomarker scoring classification schemes have not been standardized. The aim of this study was to optimize tumor methods in order describe frequency the African American Cancer Epidemiology Risk (AMBER) consortium. Using immunohistochemistry (IHC), we quantified expression ER,...
Cultivated tea is one of the most important economic and ecological trees distributed worldwide. suffer from long-term targeted selection traits overexploitation habitats by human beings, which may have changed its genetic structure. The chloroplast an organelle with a conserved cyclic genomic structure, it can help us better understand evolutionary relationship Camellia plants. We conducted comparative analyses on cultivated wild tea, we detected characteristics tea. genome sizes were...