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TranscriptomicsDiscovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcom...
ORGANISM(S): Homo sapiens 
2011-05-11 | E-GEOD-25055 | biostudies-arrayexpress
TranscriptomicsGenomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
This SuperSeries is composed of the following subset Series: GSE25055: Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer GSE25065: Validation cohort for genomic predictor of response and survival following neoadju...
ORGANISM(S): Homo sapiens 
2011-05-11 | E-GEOD-25066 | biostudies-arrayexpress
TranscriptomicsClinical impact of a novel microRNA chemo-sensitivity predictor in gastroesophageal cancer
Background: miRNAs might be potentially useful biomarkers for prediction of response to chemotherapeutic agents, radiotherapy and survival. The aim of this retrospective study was to validate miRNA response predictors in a cohort of patients with gastroesophageal cancer in order to predict overall s...
ORGANISM(S): Homo sapiens 
2016-02-18 | E-GEOD-78049 | biostudies-arrayexpress
TranscriptomicsA Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes
Purpose: The biological subtypes of breast cancer designated as Luminal A, Luminal B, HER2+/ER-, and Basal-like are clinically important for prognosis and planning treatment strategies. Recognizing that there is a continuum in both the spectrum of breast cancer disease and the risk of survival, we s...
ORGANISM(S): Homo sapiens 
2010-06-24 | E-GEOD-10886 | biostudies-arrayexpress
TranscriptomicsGGI: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial
Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate...
ORGANISM(S): Homo sapiens 
2009-07-09 | E-GEOD-16391 | biostudies-arrayexpress
GenomicsDNA methylation as a predictor of fetal alcohol spectrum disorder
DNA methylation as a predictor of fetal alcohol spectrum disorder
PRJNA429971 | ENA
TranscriptomicsValidation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcom...
ORGANISM(S): Homo sapiens 
2011-05-11 | E-GEOD-25065 | biostudies-arrayexpress
ModelsYangziChen2024 - Metabolic Machine Learning Predictor Model for Diagnosis of Gastric Cancer
The paper "Metabolomic Machine Learning Predictor for Diagnosis and Prognosis of Gastric Cancer" addresses the need for non-invasive diagnostic tools for gastric cancer (GC). Traditional methods like endoscopy are invasive and expensive. The authors conducted a targeted metabolomics analysis of 702 ...
2024-07-23 | MODEL2407230001 | BioModels
Machine Learning Model 
TranscriptomicsWhole-transcript expression data for liposarcoma
Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict ...
ORGANISM(S): Homo sapiens 
2011-09-01 | E-GEOD-30929 | biostudies-arrayexpress
GenomicsLung disease death predictor gene expression
Lung disease death predictor gene expression
PRJNA885506 | ENA
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