Results 21 to 30 of about 561,995 (314)
Frontiers in Genetics, 2022 Background: The study focused on establishing a prognostic survival model with six necroptosis-related lncRNAs to predict overall survival (OS) in patients with hepatocellular carcinoma (HCC).Methods: The data of gene expression and clinical information ...
Min Chen +6 more
doaj +1 more source
Cancer, 2009 In this issue of Cancer, Parker et al provide an opportunity to reflect on the current state of prognostication science by introducing the “BioScore,” a metric derived from categorical expression data for B7‐H1, survivin, and Ki‐67, which have been reported as independent predictors of poor outcome in patients with clear cell renal cell carcinoma ...
openaire +1 more source
Constructing a thyroid cancer prognostic risk model based on CD8+ T cell associated genes
, 2022 Thyroid cancer (TC) is a common and curable endocrine tumor occurring in the head and neck characterized by a low mortality rate compared to other malignancies. In this study, the immune microenvironment of TC was investigated to identify biomarkers. The
Xin Guo +6 more
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Frontiers in Immunology, 2022 BackgroundAs a tumor type with high mortality and poor therapeutic effect, the pathogenesis of pancreatic cancer is still unclear. It is necessary to explore the significance of necroptosis in pancreatic cancer.MethodsPancreatic cancer transcriptome data
Liang Chen +8 more
doaj +1 more source
, 2021 Introduction Autophagy functions as a prosurvival mechanism in multiple myeloma (MM). The objective of this research was to establish an autophagy-related gene (ARG) signature for predicting the survival outcomes of MM patients with TP53 mutations ...
Guang-Xun Gao +4 more
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Frontiers in Oncology, 2023 BackgroundThe prognosis of diffuse low-grade gliomas (DLGGs, WHO grade 2) is highly variable, making it difficult to evaluate individual patient outcomes.
Lei Ao +10 more
doaj +1 more source
Practical Neurology, 2008 An appreciation of prognosis is essential for effective clinical practice, in neurology as in other fields. Predicting risk of a poor outcome in individuals, or at least in well-defined groups of individuals, is necessary to properly inform patients about what the future holds for them, and the likely benefits of treatment. Despite the various pitfalls
openaire +2 more sources
A simple state-based prognostic model for railway turnout systems [PDF]
, 2010 The importance of railway transportation has been increasing in the world. Considering the current and future estimates of high cargo and passenger transportation volume in railways, prevention or reduction of delays due to any failure is becoming ever ...
Baskan, Saim +5 more
core +1 more source
A prognostic survival model for women diagnosed with invasive breast cancer in Queensland, Australia [PDF]
, 2022 PURPOSE: Prognostic models can help inform patients on the future course of their cancer and assist the decision making of clinicians and patients in respect to management and treatment of the cancer.
Baade, Peter D +23 more
core +1 more source
A signature-based classification of lung adenocarcinoma that stratifies tumor immunity
Frontiers in Oncology, 2023 BackgroundImmune-related subgroup classification in immune checkpoint blockade (ICB) therapy is largely inconclusive in lung adenocarcinoma (LUAD).Materials and methodsFirst, the single-sample Gene Set Enrichment Analysis (ssGSEA) and K-means algorithms ...
Xun Zhang +5 more
doaj +1 more source