[PDF] Top 20 A program to identify prognostic and predictive gene signatures
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A program to identify prognostic and predictive gene signatures
... a prognostic gene signature We sought to develop user-friendly and accessible soft- ware that could reliably identify predictive and prognostic gene signatures, which we ... See full document
9
A computational approach to identify predictive gene signatures in Triple Negative Breast Cancer
... microarray-based gene expression profiling allows the stratification of breast cancers into molecularly and clinically different subtypes with distinct gene expression patterns based on the activity of ... See full document
148
Prognostic stromal gene signatures in breast cancer
... immune gene signatures 12 and 13, with or without lymph node status and stratification for subtype in the model, could also predict ...these signatures on the risk indicate that the composition of ... See full document
13
Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures
... of prognostic genes for response to neoadjuvant chemotherapy in TNBC A cohort of TNBC treated with neoadjuvant chemotherapy was assembled for which gene expression data from pre-treatment biopsies were ... See full document
11
Gene expression signatures of morphologically normal breast tissue identify basal like tumors
... of gene expres- sion in morphologically normal epithelium and stroma adjacent to breast cancers as well as from reduction mammoplasty ...the gene expression profiles revealed that there are no significant ... See full document
18
Convergence of Prognostic Gene Signatures Suggests Underlying Mechanisms of Human Prostate Cancer Progression
... different predictive gene lists for the same biological ...70-gene predictive signature for breast cancer ...equally predictive 70-gene signatures could be ...intermediate ... See full document
15
Multi-dimensional omics characterization in glioblastoma identifies the purity-associated pattern and prognostic gene signatures
... Despite these discoveries, however, little is known regarding the association between the purity and the genomic or clinicopathological features in glioblastoma. Besides, the relationship between purity and glioblas- ... See full document
12
Prognostic Value of Gene Signatures and Tumorbiological Characteristics in Breast Cancer Patients Treated with Anthracycline-containing Chemotherapy
... dictive signatures supports the observation that even Her-2 it- self or at least Her-2-dependent genes plays a crucial role in this ...er predictive value compared to Her-2 are also ... See full document
7
Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures
... to identify prognostic signatures within those groups, although it is quite pos- sible that almost all Basal-like patients do have an inher- ently poor prognosis in the untreated setting and that no ... See full document
15
Attractor Molecular Signatures and Their Applications for Prognostic Biomarkers
... to identify genes correlated with the presence of the cancer MES signature in the human ...MES gene expression of the human cells, provides a potential molecular control mechanism of microenvironmental ... See full document
131
The long term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours
... particular gene expression signatures may provide some utility ...its prognostic and treatment predictive ...combining gene amplification, gene expression and ... See full document
10
Advances in Classical Hodgkin Lymphoma Biology: New Prognostic Factors and Outcome Prediction Using Gene Expression Signatures
... accurately identify, at diagnosis, a significant fraction of patients with very poor prognosis (Gobbi, Zinzani et ...significant prognostic influence in modern series of patients and that only age and stage ... See full document
18
A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the Proliferation, Immune response and RNA splicing modules in breast cancer
... The gene sets that were enriched in at least one signature were grouped into modules based on common functional ...containing gene sets common to either five or six enlarged signatures while the ... See full document
15
A Toolbox for Functional Analysis and the Systematic Identification of Diagnostic and Prognostic Gene Expression Signatures Combining Meta-Analysis and Machine Learning
... no gene transcript were excluded during the merging ...unique gene symbols of total 699 ID transcripts); Table ...calculated signatures from the LASSO and Elastic net regression models; Table ...S3. ... See full document
14
Gene signatures of breast cancer progression and metastasis
... and gene expression patterns in primary tumors versus their metastases, but these studies are complicated by the frequent diffi culty of obtaining matched tissue samples, especially when metastases may be detected ... See full document
8
PTEN as a Prognostic/Predictive Biomarker in Cancer: An Unfulfilled Promise?
... of gene expression signatures are necessary to improve early diagnoses and accurate prognoses, as well as to provide an opportunity to better match the most effective drugs with the molecular ... See full document
22
Prognostic and predictive biomarkers post curative intent therapy
... for prognostic signatures has also expanded to utilize large-scale gene expression analyses with updated technologies that are more reflective of current knowledge of the genome, and may include ... See full document
13
Prognostic and predictive value of PDL1 expression in breast cancer
... tumor immunity (γδ-T-cells, NKG2D+ cells, dendritic- cells, B-cells …). This activation profile was consistent with the correlation between PDL1 mRNA expression and the presence of elevated TILs reported by other groups ... See full document
16
An algorithm to discover gene signatures with predictive potential
... the predictive ability of the gene signature In order to separate the training data set into good prognosis and poor prognosis groups we summed the expression of both poor-prognosis genes (poor-prog- nosis ... See full document
7
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures
... 04010 3.54±1.14 2.58±1.33 2.28±1.32 0.15455 0.9431±0.0302 05200 3.08±1.24 1.63±1.28 1.34±1.20 0.098182 0.932±0.0261 averaging each gene frequency of appearance over the 100 GA executions, discarding those genes ... See full document
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