Publications by authors named "Guo-Lin Ye"

Article Synopsis
  • This study developed a stacking model to predict how axillary lymph nodes respond to neoadjuvant chemotherapy in breast cancer, utilizing MRI data.
  • The analysis involved 1,153 patients, with the model showing strong accuracy in distinguishing responses and a notably lower false-negative rate compared to traditional radiologists.
  • Results indicated significant differences in disease-free survival between high-risk and low-risk groups, suggesting the model's potential for enhancing patient outcomes post-chemotherapy.
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Article Synopsis
  • This study aims to create an AI system that predicts residual cancer burden (RCB) scores in breast cancer patients undergoing neoadjuvant chemotherapy (NAC), as early detection of drug resistance is currently inadequate.
  • Data was collected from 1,048 patients across four institutions, using MRI scans taken pre- and mid-NAC, to develop a multitask AI model that categorizes patients into three RCB groups based on advanced feature analysis.
  • The AI system demonstrated high accuracy, with area under the curve (AUC) values above 0.90 in differentiating between RCB scores, indicating its potential as a noninvasive decision-making tool in clinical settings.
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Background: 13-15% of breast cancer/BC patients diagnosed as pathological complete response/pCR after neoadjuvant systemic therapy/NST suffer from recurrence. This study aims to estimate the rationality of organoid forming potential/OFP for more accurate evaluation of NST efficacy.

Methods: OFPs of post-NST residual disease/RD were checked and compared with clinical approaches to estimate the recurrence risk.

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Background: The high false negative rate (FNR) associated with sentinel lymph node biopsy often leads to unnecessary axillary lymph node dissection following neoadjuvant chemotherapy (NAC) in breast cancer. The authors aimed to develop a multifactor artificial intelligence (AI) model to aid in axillary lymph node surgery.

Materials And Methods: A total of 1038 patients were enrolled, comprising 234 patients in the primary cohort, 723 patients in three external validation cohorts, and 81 patients in the prospective cohort.

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The translocation of biological macromolecules between cytoplasm and nucleus is of great significance to maintain various life processes in both normal and cancer cells. Disturbance of transport function likely leads to an unbalanced state between tumor suppressors and tumor-promoting factors. In this study, based on the unbiased analysis of protein expression differences with a mass spectrometer between human breast malignant tumors and benign hyperplastic tissues, we identified that Importin-7, a nuclear transport factor, is highly expressed in breast cancer (BC) and predicts poor outcomes.

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Article Synopsis
  • Researchers are attempting to develop non-invasive machine learning models to predict pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients using multiparametric MRI.
  • The study analyzed MRI data from 1262 patients, extracting thousands of radiomics and deep learning features, ultimately selecting the most significant ones to create predictive models for different breast cancer subtypes.
  • The stacking model, which combines multiple MRI data sources, demonstrated high accuracy and diagnostic performance across multiple patient cohorts, showing potential for significant clinical applications in treatment planning.
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Breast cancer is the second cause of cancer-associated death among women and seriously endangers women's health. Therefore, early identification of breast cancer would be beneficial to women's health. At present, circular RNA (circRNA) not only exists in the extracellular vesicles (EVs) in plasma, but also presents distinct patterns under different physiological and pathological conditions.

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Background: According to the global cancer burden data released in 2020, breast cancer (BC) has become the most common cancer in the world. Similar to those of other cancers, the present methods used in clinic for diagnosing early BC are invasive, inaccurate, and insensitive. Hence, new non-invasive methods capable of early diagnosis are needed.

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Background: Breast malignancy is the most frequently diagnosed malignancy in women worldwide, and the diagnosis relies on invasive examinations. However, most clinical breast changes in women are benign, and invasive diagnostic approaches cause unnecessary suffering for the patients. Thus, a novel noninvasive approach for discriminating malignant breast lesions from benign lesions is needed.

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Gene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method.

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Objective: To summarize the experience of intercostal video-mediastinoscopy (VMS) in treatment for mediastinal masses, malignant pleural effusion and palmar hyperhidrosis.

Methods: The clinical data of 701 patients received intercostal VMS from November 2001 to June 2007 were summarized retrospectively. Forty-eight patients with mediastinal masses and 46 patients with suspected malignant pleural effusion underwent intercostal VMS pleural biopsy (39 cases with talc pleurodesis) and 607 patients with palmar hyperhidrosis underwent bilateral intercostals VMS thoracic sympathectomy.

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Background: Compensatory sweating (CS) is one of the most common postoperative complications after thoracic sympathectomy, sympathicotomy or endoscopic sympathetic block (ESB) for palmar hyperhidrosis. This study was conducted to examine the relevance between CS and the sympathetic segment being transected in the surgical treatment of palmar hyperhidrosis, and thus to detect the potential mechanism of the occurrence of CS.

Methods: Between October 2004 and June 2006, 163 patients with primary hyperhidrosis were randomly divided into two groups, T(3) sympathicotomy (78 patients) and T(4) sympathicotomy (85), who were operated upon under general anesthesia via single lumen intubation and intercostal video-mediastinoscopy (VM).

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