Clin Cancer Res. 2019;25(8):2450-2457. doi:10.1158/1078-0432.CCR-18-3121PubMedGoogle ScholarCrossref 11. Biomarker trial of apalutamide and radiation for recurrent prostate cancer. ClinicalTrials.gov identifier NCT03371719. Updated March 2, 2021. Accessed August 17, 2021. https://...
We report the use of SERS measurements of patient urine in conjunction with biostatistical algorithms to assess the treatment response of prostate cancer (PCa) in 12 recurrent (Re) and 63 nonrecurrent (NRe) patient cohorts. Multiple Raman spectra are collected from each urine sample using ...
The prognosis of recurrent gastric cancer is generally poor, and aggressive surgical treatment is rarely performed. Herein, we present the case of a patien... Y Kitano,S Ohyama,IKM Yagi - 《Journal of Surgical Case Reports》 被引量: 0发表: 2024年 Clinical characteristics and prognosis of prim...
Reliable prognostic biomarkers to distinguish indolent from aggressive prostate cancer (PCa) are lacking. Many studies investigated microRNAs (miRs) as PCa prognostic biomarkers, often reporting inconsistent findings. We present a systematic review of th
differential diagnosis and prognosis of prostate cancer Glen Kristiansen Institute of Pathology of the University Hospital Bonn, Bonn, Germany Molecular diagnostics is a rapidly evolving area of surgical pathology, that is gradually beginning to transform our diagnostical procedures for a variety of ...
For the three datasets with linked prostate-specific antigen failure data following prostatectomy, patients with DESNT cancer exhibited poor outcome relative to other patients (p = 2.65 × 10−5, p = 4.28 × 10−5, and p = 2.98 × 10−8). When these three datasets were combined the...
cancer cells. However, the expression of three ARGs, SLC39A6, EDA2R and LAMB, was significantly reduced in breast cancer cells (Fig.8). These results suggest that these genes may be closely related to the prognosis of breast cancer and may be used as key biomarkers for the prognosis ...
The capability to gather heterogeneous data, alongside the increasing power of artificial intelligence to examine it, leading a revolution in harnessing multimodal data in the life sciences. However, most approaches are limited to unimodal data, leaving
There are multiple neural network-based methods, all with different advantages and applications. Multilayer perceptron (MLP), recurrent neural network (RNN) and convolutional neural network (CNN) are the most fundamental and are frequently used as building blocks for more advanced techniques. MLPs are...
RNA-Seq gene expression data from 579 EC samples (543 primary tissue samples, 1 recurrent tissue sample, and 35 paracancerous tissue samples, which contained 23 pairs of matched cancer and adjacent cancer samples.) were obtained from The Cancer Genome Atlas (TCGA, https://cancergenome.nih.gov...