A5024540160- Radiomics and Machine Learning in Medical Imaging
- Ferroptosis and cancer prognosis
- Cancer Genomics and Diagnostics
- Cancer Immunotherapy and Biomarkers
- Medical Imaging Techniques and Applications
- PARP inhibition in cancer therapy
- MRI in cancer diagnosis
- DNA Repair Mechanisms
- Nutrition, Genetics, and Disease
- Cancer Cells and Metastasis
- Science, Research, and Medicine
- Molecular Biology Techniques and Applications
- AI in cancer detection
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Circadian rhythm and melatonin
- Gastric Cancer Management and Outcomes
- Genetics and Neurodevelopmental Disorders
- Epigenetics and DNA Methylation
- Advanced X-ray and CT Imaging
- Colorectal Cancer Treatments and Studies
- Artificial Intelligence in Healthcare and Education
- Breast Cancer Treatment Studies
Fudan University Shanghai Cancer Center
2021-2024
Shanghai Medical College of Fudan University
2021-2024
Fudan University
2024
Xiangya Hospital Central South University
2021
Central South University
2021
Abstract Objectives Circadian rhythm controls complicated physiological activities in organisms. clock genes have been related to tumour progression, but its role glioma is unknown. Therefore, we explored the relationship between dysregulated circadian and progression. Materials Methods Samples were divided into different groups based on gene expression training dataset (n = 672) verified results other four validating datasets 1570). The GO GSEA enrichment analysis conducted explore...
Abstract Background Tumor-infiltrating lymphocytes (TILs) have become a promising biomarker for assessing tumor immune microenvironment and predicting immunotherapy response. However, the assessment of TILs relies on invasive pathological slides. Methods We retrospectively extracted radiomics features from magnetic resonance imaging (MRI) to develop radiomic cohort triple-negative breast cancer (TNBC) (n = 139), among which 116 patients underwent transcriptomic sequencing. This was randomly...
Intratumor heterogeneity (ITH) profoundly affects therapeutic responses and clinical outcomes. However, the widespread methods for assessing ITH based on genomic sequencing or pathological slides, which rely limited tissue samples, may lead to inaccuracies due potential sampling biases. Using a newly established multicenter breast cancer radio-multiomic dataset ( n = 1474) encompassing radiomic features extracted from dynamic contrast–enhanced magnetic resonance images, we formulated...
Background: Breast cancer has the highest incidence and mortality rates among women worldwide. Hormone receptor (HR)+/human epidermal growth factor 2 (HER2)− breast is most common molecular subtype, accounting for 50–79% of cancers. Deep learning been widely used in image analysis, especially predicting targets related to precise treatment patient prognosis. However, studies focusing on therapeutic target prognosis HR+/HER2− are lacking. Methods: This study retrospectively collected...
The prognosis of lymph node-negative triple-negative breast cancer (TNBC) is still worse than that other subtypes despite adjuvant chemotherapy. Reliable prognostic biomarkers are required to identify TNBC patients at a high risk distant metastasis and optimize individual treatment.We analyzed the RNA sequencing data primary tumor tissue clinicopathological 202 patients. cohort was randomly divided into training validation sets. Least absolute shrinkage selection operator Cox regression...
Abstract The associated article reports multiomic analysis of breast cancers, where we provided a unique public resource that contributes novel insights into the cancer, holding promise for further precision treatment approaches. This protocol not only delineates detailed experimental procedures sample preparation and data generation but also comprehensive methods genomics, transcriptomics, proteomics, metabolomics from cancer samples. Furthermore, regarding radiomics pathomics, describes...
Abstract Background and Aim The spatial distribution interactions of cells in the tumor immune microenvironment (TIME) might be related to different responses triple‐negative breast cancer (TNBC) immunomodulators. potential multiplex IHC (m‐IHC) evaluating TIME has been reported, but efficacy is insufficient. We aimed research whether m‐IHC results could used reflect TIME, thus predict prognosis complement TNBC subtyping system. Methods clinical, imaging, data for 86 patients were...
Abstract Background Despite modern surgical and irradiation techniques, ipsilateral breast tumor recurrence (IBTR) accounts for 5-15% of all cancer recurrences in women treated with conservative treatment. Historically, the methods to define true (TR) new primary (NP) IBTR mainly rely on clinical pathological criteria, limiting accuracy discerption causing misclassification. This study aimed develop a preoperative, noninvasive model distinguishing by integrating clinicopathological review...
Background: Radiomics offers a noninvasive avenue for predicting clinicopathological factors; however, thorough investigations into robust breast cancer outcome-predicting model and its biological significance remain limited. This study aimed to develop radiomic prognosis prediction, further excavate foundation value in treatment response prediction.Methods: Three cohorts of 1213 patients including preoperative dynamic contrast-enhanced MRI were retrospectively collected. Cohort 1 (n = 466,...
Abstract The associated article reports multiomic analysis of breast cancers, where we provided a unique public resource that contributes novel insights into the cancer, holding promise for further precision treatment approaches. This protocol not only delineates detailed experimental procedures sample preparation and data generation but also comprehensive methods genomics, transcriptomics, proteomics, metabolomics from cancer samples. Furthermore, regarding radiomics pathomics, describes...
Abstract Background: Intratumor heterogeneity (ITH) refers to variations observed among cancer cells within a single tumor, posing significant challenges in clinical practice due its contribution treatment resistance and unfavorable outcome. However, the inconvenience of multi-region biopsy limitations genomic sequencing based on limited tissue impede practical detection ITH. Consequently, there is an urgent need for non-invasive method that comprehensively captures ITH from holistic...
In this Backstory, we illustrate how a recent work from our multidisciplinary collaborative group identifies molecular subtypes of triple-negative breast cancer with noninvasive radiomic pipeline. These findings appeared in the July 2022 issue Cell Reports Medicine (https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(22)00230-0).
Abstract Background: Homologous recombination (HR) is a key pathway in DNA double-strand damage repair. HR deficiency (HRD) more commonly occurs triple-negative breast cancers (TNBCs) than other cancer subtypes. Several clinical trials have demonstrated the value of HRD stratifying patients into distinct response groups to poly ADP ribose polymerase (PARP) inhibitors and chemotherapy. Methods: We retrospectively collected TNBC samples establish multiomics cohort (n=343) explore biological...