Background: Gene amplification is the primary mechanism of HER-2/neu overexpression in breast cancer and is a strong predictor of prognosis. Currently screening for HER-2/neu gene amplification in breast cancer is done by fluorescent in-situ hybridization (FISH), which is accurate but costly and labor intensive. We have evaluated a new PCR (polymerase chain reaction)-based assay for the detection of HER-2/neu gene amplification in human breast cancer.
Study Design: A total of 15 breast cancer cell lines and 14 breast cancer specimens were evaluated. HER-2/neu status of the tumors was evaluated by FISH and then assessed using a quantitative polymerase chain reaction/ligase detection reaction (PCR/LRD) technique.
Results: Amplification of the HER-2/neu gene was detected in seven cell lines previously reported to have amplification and no amplification was found in any of the six that had been reported not to have amplification. In the assessment of breast specimens the PCR/LDR and FISH assays were in complete agreement. All 10 tumors with amplification by FISH were also amplified by PCR/LDR.
Conclusions: The PCR/LDR technique successfully detects HER-2/neu gene amplification in clinical breast cancer specimens and shows 100% concordance with FISH. This technique is an accurate and rapid alternative to FISH with the potential for automation and high throughput analysis of HER-2/neu status in breast cancer.
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http://dx.doi.org/10.1016/S1072-7515(03)00431-9 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
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