Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrated analysis of tumor samples sheds light on tumor heterogeneity.

The Yale journal of biology and medicine - 1 Sept 2012

Parisi Fabio, Micsinai Mariann, Strino Francesco, Ariyan Stephan, Narayan Deepak, Bacchiocchi Antonella, Cheng Elaine, Xu Fang, Li Peining, Kluger Harriet, Halaban Ruth, Kluger Yuval

Abstract excerpt

The heterogeneity of tumor samples is a major challenge in the analysis of high-throughput profiling of tumor biopsies and cell lines. The measured aggregate signals of multigenerational progenies often represent an average of several tumor subclones with varying genomic aberrations and different gene expression levels. The goal of the present study was to integrate copy number analyses from SNP-arrays and...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chromosomes, Human
Share to DNA Copy Number Variations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genes, Neoplasm

Share to Intercellular Signaling Peptides and Proteins

Share to Karyotyping

Share to Melanoma

Share to Oligonucleotide Array Sequence Analysis

Share to Proto-Oncogene Proteins B-raf

Source

Open in PubMed Open full text

Identifiers

PMID: 23012583
PMCID: PMC3447199

Genes

BRAF
DKK1

Variants

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated analysis of tumor samples sheds light on tumor heterogeneity.PMID 23012583Read ↗

Characterization of cancer genomic heterogeneity by next-generation sequencing advances precision medicine in cancer treatmentSemantic proximity Read ↗

Computational Methods for Characterizing Cancer Mutational HeterogeneitySemantic proximity Read ↗

Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples.Semantic proximity Read ↗

Cancer heterogeneity: converting a limitation into a source of biologic information.Semantic proximity Read ↗

Integrated single-cell whole genome sequencing and spatial transcriptomics reveal latent intra-tumoral heterogeneity in ovarian cancerSemantic proximity Read ↗

Accurate quantification of copy-number aberrations and whole-genome duplications in multi-sample tumor sequencing dataSemantic proximity Read ↗

The challenges of tumor genetic diversity.Semantic proximity Read ↗

Comparative Lesions Analysis Through a Targeted Sequencing Approach.Semantic proximity Read ↗

Mechanisms and clinical implications of tumor heterogeneity and convergence on recurrent phenotypes.Semantic proximity Read ↗

Intra-tumor heterogeneity of cancer cells and its implications for cancer treatment.Semantic proximity Read ↗

Chromosomal copy number heterogeneity predicts survival rates across cancers.Semantic proximity Read ↗

Distinguishing between driver and passenger mutations in individual cancer genomes by network enrichment analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.