ArticleClinical chemistry2002
Application of a multigene reverse transcription-PCR assay for detection of mammaglobin and complementary transcribed genes in breast cancer lymph nodes.
Article in Clinical chemistry, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 66 citations in OpenAlex.
- Detection of metastases in sentinel lymph nodes of breast cancer patients by multiple mRNA markers.British journal of cancer · 2004Trial
- The tumor-nerve circuit in breast cancer.Cancer metastasis reviews · 2023Review
- Characterization of GATA3 and Mammaglobin in breast tumors from African American women.Research square · 2023Article
- Characterization of GATA3 and Mammaglobin in breast tumors from African American Women.Archives of microbiology & immunology · 2023Article
- The Emerging Roles of π Subunit-Containing GABAInternational journal of medical sciences · 2021Review
- Microarray expression profiling of dysregulated long non-coding RNAs in triple-negative breast cancer.Cancer biology & therapy · 2015Article
- GABA(A) receptor pi (GABRP) stimulates basal-like breast cancer cell migration through activation of extracellular-regulated kinase 1/2 (ERK1/2).The Journal of biological chemistry · 2014Article
- Human mammaglobin in breast cancer: a brief review of its clinical utility.The Indian journal of medical research · 2014Review
- Mammaglobin, a valuable diagnostic marker for metastatic breast carcinoma.International journal of clinical and experimental pathology · 2009Article
- Article
- An evaluation of molecular markers for improved detection of breast cancer metastases in sentinel nodes.Journal of clinical pathology · 2006Article
- Detection of circulating tumor cells in peripheral blood of breast cancer patients during or after therapy using a multigene real-time RT-PCR assay.Molecular diagnosis & therapy · 2006Article
- Identification and characterization of optimal gene expression markers for detection of breast cancer metastasis.The Journal of molecular diagnostics : JMD · 2005Article
- Mammaglobin as a novel breast cancer biomarker: multigene reverse transcription-PCR assay and sandwich ELISA.Clinical chemistry · 2004Article
- Article
- Application of a multigene reverse transcription-PCR assay for detection of mammaglobin and complementary transcribed genes in breast cancer lymph nodes.Clinical chemistry · 2002Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMammaglobin mRNA expression is found in 70-80% of primary and metastatic breast tumor biopsies. The potential breast tumor markers B305D, B726P, and gamma-aminobutyrate type A receptor pi subunit (GABApi) complement the expression of mammaglobin. Collectively the expression profile of these four genes could be used as a diagnostic and prognostic indicator for breast cancer.
methodsA multigene reverse transcription-PCR (RT-PCR) assay was established to detect the expression of mammaglobin, GABApi, B305D, and B726P simultaneously. Specific primers and TaqMan probes were used to analyze combined mRNA expression profiles in primary breast tumors and metastatic lymph node specimens.
resultsThe multigene RT-PCR assay detected substantial expression signals in 27 of 27 primary tumor and 50 of 50 metastatic breast lymph node samples. Specificity studies demonstrated no significant expression signal in 27 non-breast cancer lymph nodes, in 22 various healthy tissue samples, or in 14 colon tumor samples.
conclusionThe novel RT-PCR-based assay described here provides a sensitive detection system for disseminated breast tumor cells in lymph nodes. In addition, this multigene assay could also be used to test peripheral blood and bone marrow samples.
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Identifiers
12142378PMC1482782W2171376926What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.