The present invention provides methods for detecting and diagnosing cancer, such methods involving the determination of the expression level of the RQCD1, GIGYF1 or GIGYF2 genes. These genes were discovered to discriminate cancer cells from normal cells. Furthermore, the present invention provides ...
Researchers have subsequently found that ZBP1 is reactivated in several types of cancer, including breast, colorectal and non-small-cell lung cancers; but the gene is silenced in metastasizing cancer cells, as was shown by Dr. Singer's research team. They try to find out how the ZBP1 gene ...
The CNA determined 84 genes present in the most relevant communities, of which, 12 were BC driver genes according to The Cancer Genome Atlas (TCGA) and the IntOGen web platform60. In addition, 35 were tier 1 in the Cancer Gene Census61, and 19 of these were cancer hallmarks according to...
b, Heatmap of pair-wise Pearson correlations of the scaled AUCell signature scores, across all individual neoplastic cells, for each of the seven ITTH gene-modules (bolded) and a curated set of breast cancer related gene-signatures. Hierarchical clustering was performed using Pearson correlations...
It is this distant impact that causes more than 90% of cancer-related deaths [1]. The normal mammary gland is comprised of a central lumen, a well-defined layer of epithelial cells, a layer of contractile myoepithelial cells, basement membrane and the interstitial matrix or the stroma, ...
Medical experts from Shanghai Cancer Center have discovered a new target gene through which to attack the toughest type of breast cancer and enhance patients' immunotherapy effects. Breast cancer is the most common form of ca...
Conclusion: Integrating single-cell and bulk RNA-seq analyses, we identified a list of compositive CAF-associated biomarkers and developed a novel CAF-related prognostic model for breast cancer. This robust CAF-derived gene signature acts as an excellent predictor of patient outcomes and treatment res...
The identification of breast cancer biomarkers can help improve the molecular subtype classification and TNM staging system. WGCNA (Weighted gene co-expression network analysis) is a systematic biological method for describing related patterns between sequencing sample genes (Zhang and Horvath, 2005). ...
A total of 706 gene sets were significantly enriched (P value<0.5e-2) and we plotted them according to the quantitative difference of the proteins in each set between the subtypes (Fig. 2 and Supplementary Data 3). We found clear enrichment of multiple breast cancer-related gene sets ...
Breast cancer is the most prevalent kind of cancer among women and there is a need for a reliable algorithm to predict its prognosis. Previous studies focused on using gene expression data to build predictive models. However, recent advancements have made multi-omics cancer data sets (gene expres...