Results 131 to 140 of about 1,229,811 (353)
Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer
Molecular Oncology, EarlyView.mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia +17 more
wiley +1 more source
Targeting Gsk3a reverses immune evasion to enhance immunotherapy in hepatocellular carcinoma
Journal for ImmunoTherapy of CancerBackground Immune escape is an important feature of hepatocellular carcinoma (HCC). The overall response rate of immune checkpoint inhibitors (ICIs) in HCC is still limited.
Sunzhe Xie +14 more
doaj +1 more source
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Cancer Metastasis Detection With Neural Conditional Random Field [PDF]
arXiv, 2018 Breast cancer diagnosis often requires accurate detection of metastasis in lymph nodes through Whole-slide Images (WSIs). Recent advances in deep convolutional neural networks (CNNs) have shown significant successes in medical image analysis and particularly in computational histopathology.
arxiv
CARCINOMA OF THE SPINE,—A CASE OF CAUDA EQUINA DISEASE FOLLOWING THYROID METASTASIS [PDF]
, 1917 A. SKVERSKY
openalex +1 more source
Clinical significance of stratifying prostate cancer patients through specific circulating genes
Molecular Oncology, EarlyView.We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian +12 more
wiley +1 more source
Learning-based Bone Quality Classification Method for Spinal Metastasis [PDF]
arXivSpinal metastasis is the most common disease in bone metastasis and may cause pain, instability and neurological injuries. Early detection of spinal metastasis is critical for accurate staging and optimal treatment. The diagnosis is usually facilitated with Computed Tomography (CT) scans, which requires considerable efforts from well-trained ...
arxiv
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis [PDF]
arXiv, 2019 Automatic detection of cancer metastasis from whole slide images (WSIs) is a crucial step for following patient staging and prognosis. Recent convolutional neural network based approaches are struggling with the trade-off between accuracy and computational efficiency due to the difficulty in processing large-scale gigapixel WSIs. To meet this challenge,
arxiv
UNUSUAL METASTASIS IN MUMPS, With Report of Three Fatal Cases. [PDF]
, 1887 F. D. HALDEMAN
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