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Qing Lv

Researcher at Sichuan University

Publications -  69
Citations -  1325

Qing Lv is an academic researcher from Sichuan University. The author has contributed to research in topics: Breast cancer & Medicine. The author has an hindex of 17, co-authored 60 publications receiving 882 citations.

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Automated diagnosis of breast ultrasonography images using deep neural networks.

TL;DR: An automated breast cancer diagnosis model for ultrasonography images using deep convolutional neural networks with multi‐scale kernels and skip connections is developed and achieves a performance comparable to human sonographers and can be applied to clinical scenarios.
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Hypermethylation of tumor suppressor genes involved in critical regulatory pathways for developing a blood-based test in breast cancer.

TL;DR: This study suggests that the selected TSG panel combined with the high-throughput technology might be a useful tool to develop epigenetic based predictive and prognostic biomarker for breast cancer relying on pathologic methylation changes in tumor tissue, as well as in circulation.
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Comparison of mammosphere formation from breast cancer cell lines and primary breast tumors

TL;DR: This study validates the use of breast cancer cell lines as models to elucidate the nature of BCSCs and explores the optimal culturing system forBCSCs from the two cell lines and primary breast tumors.
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Gastrointestinal microbiome and breast cancer: correlations, mechanisms and potential clinical implications.

TL;DR: Based on the current evidence, cues on future management strategies of breast cancer such as antibiotics and dietary interventions are proposed and large-scale clinical studies and bench-based researches are needed to validate the associations and elaborate the mechanisms so as to reduce the risk of Breast cancer and improve the outcomes of those already diagnosed.
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STAT3, a Poor Survival Predicator, Is Associated with Lymph Node Metastasis from Breast Cancer

TL;DR: STAT3, a poor survival biomarker potential association with lymph node metastasis, was suitable for predication the OS of breast cancer patients after curative resection.