Robustness of TRU, Proximal-proliferative (PP), and Proximal-inflammatory (PI) classification. Robustness of TRU, Proximal-proliferative (PP), and Proximal-inflammatory.

Slides:



Advertisements
Similar presentations
Original Figures for "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring"
Advertisements

Gene Shaving – Applying PCA Identify groups of genes a set of genes using PCA which serve as the informative genes to classify samples. The “gene shaving”
Date of download: 6/18/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Association of BRCA1 and BRCA2 Mutations With Survival,
Fig. 2 Two-dimensional embedding result obtained using nMDS.
Exploring Microarray data
Fig. 8. Recurrent copy number amplification of BRD4 gene was observed across common cancers. Recurrent copy number amplification of BRD4 gene was observed.
The immune metagene model has prognostic value in IBE but not in IBD breast cancer. The immune metagene model has prognostic value in IBE but not in IBD.
Exploration of the data set with age as a continuous variable.
Combined LRTI prediction metric integrating pathogen detection and host gene expression. Combined LRTI prediction metric integrating pathogen detection.
Gene Expression Profiling of Large Cell Lung Cancer Links Transcriptional Phenotypes to the New Histological WHO 2015 Classification  Anna Karlsson, MSc,
Genomic alterations in non–small cell lung cancer, breast cancer, and colorectal cancer. Genomic alterations in non–small cell lung cancer, breast cancer,
Gene Expression Profiling of Large Cell Lung Cancer Links Transcriptional Phenotypes to the New Histological WHO 2015 Classification  Anna Karlsson, MSc,
(A) Hierarchical clustering was performed to identify groups of patients with similar RNASeq expression of 20 genes associated with reduced survivability.
LincRNAs expressed in specific subpopulations of mESCs and NPCs.
QuantiGene Plex Represents a Promising Diagnostic Tool for Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma  John S. Hall, Suzanne Usher, Richard.
Pejman Mohammadi, Niko Beerenwinkel, Yaakov Benenson  Cell Systems 
Volume 127, Issue 2, Pages (August 2004)
Volume 54, Issue 6, Pages (June 2007)
Volume 24, Issue 8, Pages (August 2018)
Volume 155, Issue 4, Pages (November 2013)
Alterations related to androgen signaling.
Genetic landscape of salivary duct carcinoma.
Distribution of informative SNPs with LOH (black bars) on each chromosome (rows, oriented p-arm at the bottom and q-arm at the top of each chromosome)
Cecal metabolome during C. difficile colonization and infection.
Core type 1 interferon (IFN-1)-associated genes are more highly expressed in myeloid subsets. Core type 1 interferon (IFN-1)-associated genes are more.
Quantification of MHC-I, β2m, and T-cell subsets.
Exploration of gut and skin microbiome of the habitat switching experiment with Calour. Exploration of gut and skin microbiome of the habitat switching.
LATS2-associated gene expression pattern is down-regulated specifically in lumB breast tumors. LATS2-associated gene expression pattern is down-regulated.
Cancer mutations in enriched RBP motifs.
Box plot of acquisition times across the various study cohorts.
CD4-TEMRA cells are heterogeneous across donors.
Associations between the differences in BDNF or TrkB mRNA expression and in GAD67 mRNA expression across subject pairs. Associations between the differences.
Association between RB pathway alterations and poor prognosis in early-stage lung adenocarcinoma patients. Association between RB pathway alterations and.
Integrated mRNA and microRNA expression and DNA methylation clusters.
PD-L1 expression correlates with T-cell markers and an IFN response signature in human melanomas. PD-L1 expression correlates with T-cell markers and an.
X-tile analysis of survival data from the SEER registry reveals a continuous distribution based on tumor size and node number, and a U-shaped distribution.
Heat map of genes for which CR significantly altered expression versus AL. Cluster analysis of genes significantly changed by the CR intervention compared.
Immune signatures of patients with short-, medium-, and long-term survival. Immune signatures of patients with short-, medium-, and long-term survival.
Immune activity and neopeptide load correlate across tumor types.
Ki-67 expression is determined by the cell-cycle stage.
Melanoma patient monocytes have altered expression of inflammatory and surface markers. Melanoma patient monocytes have altered expression of inflammatory.
Overview of TIMER modules on the website.
A, unsupervised clustering of all BRCA1 (red), BRCA2 (blue), and sporadic (green) breast tumors of our collection using the regions reported as discriminative.
Transcripts enriched and depleted in NB TICs compared with SKPs and other tumor tissues. Transcripts enriched and depleted in NB TICs compared with SKPs.
Survival risk prediction analysis and application of the metastasis gene signature. Survival risk prediction analysis and application of the metastasis.
High-risk neuroblastoma molecular subtypes classification and inference of master regulators. High-risk neuroblastoma molecular subtypes classification.
The long tail of mutational hotspots in cancer.
Histology (H&E; original magnification, ×100 for B-2P/C-12P/C-64P and ×40 for C-10P; top) of small-sized lung adenocarcinomas and immunohistochemical staining.
Global mutational landscape of the 170 lung adenocarcinoma patients (discovery cohort). Global mutational landscape of the 170 lung adenocarcinoma patients.
Molecular definitions of lung adenocarcinoma subtypes.
Inhibition of CD20 mRNA expression by ibrutinib correlates with reduced NF-κB activity. Inhibition of CD20 mRNA expression by ibrutinib correlates with.
Ibrutinib decreases ofatumumab-mediated complement-dependent cytotoxicity. Ibrutinib decreases ofatumumab-mediated complement-dependent cytotoxicity. A,
A and B, linearity of the preamplification step shown by a similar expression pattern of ERα mRNA in four breast tumor samples pre– and post–linear amplification.
A, heatmap of copy number alterations determined by array CGH for a panel of 79 frozen NSCLC samples. A, heatmap of copy number alterations determined.
Correlations between APOBEC expression and immune cell markers across 22 cancer types. Correlations between APOBEC expression and immune cell markers across.
Mutational signature analysis of WES data from patients with advanced PDAC. A, Projection of signatures representing four main mutational processes identified.
Gene expression heatmap of non–T-cell-inflamed, intermediate, and T-cell–inflamed testicular germ cell tumors from TCGA. Genes are on the row, and samples.
PTEN genotype frequently dictates PTEN expression status, but evidence of heterogeneous staining implies polyclonality within some ovarian tumors. PTEN.
The ovarian cancer cell lines modestly recapitulate the spectrum of mutations found in primary ovarian tumors. The ovarian cancer cell lines modestly recapitulate.
Driver pathways and key genes in OSCC
Recurrent tumor cell–intrinsic transcriptomic, RTKinomic, and immune regulomic alterations in regressing melanoma on MAPKi therapy. Recurrent tumor cell–intrinsic.
Integrated analysis of gene expression and copy number alterations.
Highly metastatic PDAC cells have a unique gene signature, which is not preserved in metastases but predicts poor patient outcome. Highly metastatic PDAC.
Molecular characterization of esophagogastric tumors.
TME characteristics of TCGA-STAD subtype and cancer somatic genome.
Synthetic lethality of ROS1 inhibition in E-cadherin–deficient breast tumor cell lines. Synthetic lethality of ROS1 inhibition in E-cadherin–deficient.
Transcriptome profiling of PD-L1 antibody–treated macrophages showed inflammatory phenotype, increased survival and proliferation, and decreased apoptosis.
Construction of TME signatures and functional annotation.
Comparison of shRNA scoring approaches.
GSN and DNMT1 expression are inversely correlated in a pattern associated with patient survival. GSN and DNMT1 expression are inversely correlated in a.
Presentation transcript:

Robustness of TRU, Proximal-proliferative (PP), and Proximal-inflammatory (PI) classification. Robustness of TRU, Proximal-proliferative (PP), and Proximal-inflammatory (PI) classification. A, classification variability due to methodologic alterations or random perturbations of genes or samples. Top, percentage of cases switching GEP when using Spearman correlation instead of Pearson correlation as the similarity metric, or mean gene-centering instead of median gene-centering across all cohorts. For the Shedden et al. (20) cohort the latter analysis was not performed because of reported site-specific expression differences. Center, percentages of cases switching GEP after random selection of different subsets of genes from the 506-gene centroid followed by classification, mimicking the effect of missing data values. Bottom, percentages of cases switching GEP per cohort after random selection of different subsets of cases followed by gene recentering and classification according to the standard approach. Center and bottom, the presented data value for each cohort represents the mean of 20 permutations. B, detailed analysis of the variability in GEP classification caused by proportional changes of a specific GEP in the 230-sample TCGA cohort (14). In a step-by-step process, one TRU-classified tumor (n = 89 originally) was cumulatively removed from the cohort followed by gene recentering and reclassification of the remaining cases. The panel shows how the GEP classification for an individual sample (rows) changes with increasing fractions of originally TRU-classified cases excluded (columns). C, the same analysis as in B is shown, but across all 17 cohorts. Each line corresponds to a unique cohort. Variance is binned in 5% bins (x-axis). A box plot for each bin is superimposed in red. Markus Ringnér et al. Clin Cancer Res 2016;22:218-229 ©2016 by American Association for Cancer Research