Results 21 to 30 of about 631,661 (355)

Prognostic Signatures of Metabolic Genes and Metabolism-Related Long Non-coding RNAs Accurately Predict Overall Survival for Osteosarcoma Patients

open access: yesFrontiers in Cell and Developmental Biology, 2021
In this study, we identified eight survival-related metabolic genes in differentially expressed metabolic genes by univariate Cox regression analysis based on the therapeutically applicable research to generate effective treatments (n = 84) data set and ...
Gong Chao-yang   +9 more
doaj   +1 more source

Bioinformatic Analysis for the Validation of Novel Biomarkers for Cancer Diagnosis and Drug Sensitivity [PDF]

open access: yes, 2015
Background: The genetic control of tumour progression presents the opportunity for bioinformatics and gene expression data to be used as a basis for tumour grading.
Lockwood, Laura Anne Rebecca
core   +2 more sources

Gene Signatures Revisited [PDF]

open access: yesJNCI Journal of the National Cancer Institute, 2012
The three-gene model of Haibe-Kains et al. (1) in this issue of the Journal continues a recent trend (2–4) in which a gene signature with only a few genes classifies cancer specimens as well or better than signatures with many more genes. Given that cancer cells involve large numbers of genetic mutations (5), why should a signature with only few genes ...
openaire   +3 more sources

A Prognostic Gene Signature for Hepatocellular Carcinoma

open access: yesFrontiers in Oncology, 2022
Hepatocellular carcinoma is the third most common cause of cancer-related deaths in China and immune-based therapy can improve patient outcomes. In this study, we investigated the relationship between immunity-associated genes and hepatocellular carcinoma from the prognostic perspective.
Rong Chen   +6 more
openaire   +3 more sources

A robust six-gene prognostic signature for prediction of both disease-free and overall survival in non-small cell lung cancer

open access: yesJournal of Translational Medicine, 2019
Background The high mortality of patients with non-small cell lung cancer (NSCLC) emphasizes the necessity of identifying a robust and reliable prognostic signature for NSCLC patients.
Shuguang Zuo   +6 more
doaj   +1 more source

Identification of a novel six‐gene signature with potential prognostic and therapeutic value in cervical cancer

open access: yesCancer Medicine, 2021
Introduction Cervical cancer has high mortality, high recurrence and poor prognosis. Although prognostic biomarkers such as clinicopathological features have been proposed, their accuracy and precision are far from satisfactory.
Xinyu Qu   +5 more
doaj   +1 more source

Transcriptomic profiling of peroxisome-related genes reveals a novel prognostic signature in hepatocellular carcinoma

open access: yesGenes and Diseases, 2022
Emerging evidence suggests that peroxisomes play a role in the regulation of tumorigenesis and cancer progression. However, the prognostic value of peroxisome-related genes has been rarely investigated.
Liewang Qiu   +4 more
doaj   +1 more source

Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures [PDF]

open access: yes, 2011
Background: Current prognostic gene signatures for breast cancer mainly reflect proliferation status and have limited value in triple-negative (TNBC) cancers.
Ahr, André   +14 more
core   +1 more source

Identification of a six-gene signature predicting overall survival for hepatocellular carcinoma

open access: yesCancer Cell International, 2019
Background Hepatocellular carcinoma (HCC) remains a major challenge for public health worldwide. Considering the great heterogeneity of HCC, more accurate prognostic models are urgently needed.
Gao-Min Liu   +3 more
doaj   +1 more source

Construction and validation of a seven-gene signature for predicting overall survival in patients with kidney renal clear cell carcinoma via an integrated bioinformatics analysis

open access: yesAnimal Cells and Systems, 2020
Kidney renal clear cell carcinoma (KIRC) remains a significant challenge worldwide because of its poor prognosis and high mortality rate, and accurate prognostic gene signatures are urgently required for individual therapy.
Huiming Jiang, Haibin Chen, Nanhui Chen
doaj   +1 more source

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