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

Comparison of histopathology to gene expression profiling for the diagnosis of metastatic cancer

21 Aug 2012

Abstract excerpt

BACKGROUND: Determining the primary site of metastatic cancer with confidence can be challenging. Pathologists commonly use a battery of immunohistochemical (IHC) stains to determine the primary site. Gene expression profiling (GEP) has found increasing use, particularly in the most difficult cases. In this pilot study, a direct comparison between GEP and IHC-guided methods was performed. METHODS: Ten archived...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Cancer Diagnosis and Treatment
Share to Metastasis and carcinoma case studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 22909314
DOI: 10.1186/1746-1596-7-110

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparison of histopathology to gene expression profiling for the diagnosis of metastatic cancerPMID 22909314Read ↗

Blinded Comparator Study of Immunohistochemical Analysis versus a 92-Gene Cancer Classifier in the Diagnosis of the Primary Site in Metastatic TumorsSemantic proximity Read ↗

Validation and Reproducibility of a Microarray-Based Gene Expression Test for Tumor Identification in Formalin-Fixed, Paraffin-Embedded SpecimensSemantic proximity Read ↗

Multicenter Validation of a 1,550-Gene Expression Profile for Identification of Tumor Tissue of OriginSemantic proximity Read ↗

Analytical validity of DecisionDx-SCC, a gene expression profile test to identify risk of metastasis in cutaneous squamous cell carcinoma (SCC) patientsSemantic proximity Read ↗

Gene expression profiling for the diagnosis of multiple primary malignant tumorsSemantic proximity Read ↗

Gene Expression Profiling for the Diagnosis of Multiple Primary Malignant TumorsSemantic proximity Read ↗

Predicting Tissue of Origin from Bulk Tumor Gene Expression using a Pre-trained Transformer ModelSemantic proximity Read ↗

The Role of Gene Expression Profiling in Management of Cutaneous Squamous Cell Cancer: A ReviewSemantic proximity Read ↗

Gene Expression Profiling to Identify the Histogenetic Origin of Metastatic Adenocarcinomas of Unknown PrimarySemantic proximity Read ↗

Markers of Adenocarcinoma Characteristic of the Site of Origin: Development of a Diagnostic AlgorithmSemantic proximity Read ↗

Clinical validation of a 90-gene expression test for tumor tissue of origin diagnosis: a large-scale multicenter study of 1417 patientsSemantic proximity Read ↗

Analytic validity of DecisionDx-Melanoma, a gene expression profile test for determining metastatic risk in melanoma patientsSemantic proximity Read ↗

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