نتایج جستجو برای: recurrence prediction
تعداد نتایج: 337559 فیلتر نتایج به سال:
High throughput gene expression profiling has showed great promise in providing insight into molecular mechanisms. Metastasis-related mRNAs may potentially enrich genes with the ability to predict cancer recurrence, therefore we attempted to build a recurrence-associated gene signature to improve prognostic prediction of colorectal cancer (CRC). We identified 2848 differentially expressed mRNAs...
PURPOSE To demonstrate that Recurrence quantification analysis (RQA) can be used as a quantitative decision making tool to classify patients breathing pattern and select treatment strategy for maneuvering the tumor motion : (a) MIP based treatment (b) 4D treatment using non-linear prediction only (c) 4D treatment non-linear control prediction and breathing control. METHOD AND MATERIALS In our...
Prostate cancer (PCa) is a leading cause of cancer-related mortality worldwide. Gleason score (GS) is one of the best predictors of PCa aggressiveness, but additional tumor biomarkers may improve its prognostic accuracy. We developed a gene expression signature of GS to enhance the prediction of PCa outcomes. Elastic net was used to construct a gene expression signature by contrasting GS 8-10 v...
BACKGROUND Obese patients with prostate cancer may have lower preoperative PSA concentration due to hemodilution. Lower PSA concentration may falsely affect assessing the risk of progression after radical prostatectomy (RP). The aim of this study was to determine preoperative PSA mass as the absolute amount of PSA protein secreted into circulation, and evaluation of its usefulness in prediction...
Non-muscle-invasive (NMI) bladder cancer (BC) is a chronic disease with varying oncologic outcomes requiring frequent follow-up and repeated treatments. Recurrence (in up to 80%) is the main problem for pTa NMI-BC patients, whereas progression (in up to 45%) is the main threat in pT1 and carcinoma in situ (CIS) NMI-BC. In a recent European Organization for Research and Treatment of Cancer (EORT...
Approximately 50-75% of patients with serous ovarian carcinoma (SOC) experience recurrence within 18 months after first-line treatment. Current clinical indicators are inadequate for predicting the risk of recurrence. In this study, we used 7 publicly available microarray datasets to identify gene signatures related to recurrence in optimally debulked SOC patients, and validated their expressio...
The prediction of peritoneal recurrence in colorectal cancer patients is required for improvement of prognosis. In this study, we focused on establishing a novel rapid RNA direct amplification system with transcription-reverse transcription concerted reaction (TRC) to detect carcinoembryonic antigen (CEA) mRNA in peritoneal washings, and its usefulness as a prophylactic tool for peritoneal recu...
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