Cancer Protein Biomarkers
Answer the most difficult questions in cancer
Oncology biomarker research is about translating progress made in identifying relevant biomarkers in basic research into cancer therapeutics that potentially benefit patients. Our approach uses mass spectrometry as the discovery engine to discover new oncogenic or tumorgenic biomarkers. Cancer research techniques using mass spectrometry can be used to discover and validate biomarkers that can be used for early detection of cancer, proteomics in cancer prognostics, proteogenomics and monitoring response to therapy.
The versatile nature of mass spectrometry gives cancer researchers the flexibility in using any type of clinical sample including cell lines, tumor tissue, serum, plasma, urine, saliva, NAF for breast cancer.
Unless otherwise noted, all products are for research use only, not for use in diagnostic procedures.
Cancer biomarker research applications
With access to our innovative products and platforms, you can answer all the leading questions one would face when performing cancer research.
Reliable sample prep so you can focus on what’s important to you.
Separation solutions to match your workflow expectations.
Your partner in cancer biomarker research validation and verification.
Easy-to-use software and data systems to support your oncology research needs.
Translating Proteomics into Clinical Diagnostics
Dr. Eleftherios P. Diamandis, MD, PhD, FRCP(C) with Mount Sinai Hospital, Dept. of Pathology & Laboratory Medicine & the Lunefel-Tanenbaum Research Institute, discusses his approach to using LCMS technology to identify potential biomarkers and how it may apply utility
in the future of clinical diagnostics.
Detection of Pathogen Induced Cancer in a Human T-Cell Leukemia Virus Type 1 Disease Model on LC-HRAM Platform
Dr. Sucharita Dutta, Senior Research Associate at the Eastern Virginia Medical School discusses the Human T-Cell Leukemia Virus Type 1 (HTLV-1) as the potential factor for the development of an aggressive lymphoma, Adult T-cell Leukemia (ATL).
|Andrew Hoofnagle||Bruno Domon||Carol Nilsson||Daniel Chan||Tom Conrads||Eleftherios Diamandis|
Integrating Proteomics and Genomics to Unlock Biological Function
- Thermo Fisher, Newman-Lakka Collaborating on Mass Spec Assays for Cancer Biomarkers. ProteoMonitor. online June 28, 2013.
- Quantitative Phosphoproteomic Analysis of the STAT3/IL-6/HIF1a Signaling Network: An initial Study in GSC11 Glioblastoma Stem Cells. J Proteome Res. 2010 9:430-43.
- Proteomic analysis of the palmitoyl protein thioesterase 1 interactome in SH-SY5Y human neuroblastoma cells
- Characterization of Breast Cancer Interstitial Fluids by TmT Labeling, LTQ-Orbitrap Velos Mass Spectrometry, and Pathway Analysis. Raso C, Cosentino C, et al.J Proteome Res. 2012 May 16.
- Quantitative cancer proteomics: stable isotope labeling with amino acids in cell culture (SILAC) as a tool for prostate cancer research. Everley PA, Krijgsveld J, et al., Mol Cell Proteomics. 2004 Jul;3(7):729-35.
Featured cancer biomarker posters
- SRM-based Quantitative Analysis of IGF-1R and IRS1 Directly in FFPE Tissue for Objective Pathological Analysis in Cancer-related Signaling Pathways
- Identification of cancer-specific glycoproteins in triple-negative breast cancer
- Characterization of stress hormone-mediated drug resistance in breast cancer cells using SILAC combined with high resolution mass spectrometry
Featured application notes
- ExPASy Bioinformatics Resources Portal
- ExPASy Proteomics UnitPortLB/Swiss-Prot Protein Sequence Database
- ExPASy Roche “Biochemical Pathways” wall chart
- Expression Atlas
- GeneCards® Human Gene Compendium
- The Human Protein Atlas
- Human Proteinpedia
- Human proteome images
- Institute for Systems Biology Proteomic Tools
- Ion Source – Mass Spectrometry and Biotechnology Resource
- KEGG PATHWAY Database
- National Center for Biotechnology Information
- STRING–Known & Predicted Protein-Protein Interactions
- Universal Protein Resource (UniProt) for Protein Sequence and Annotation Data
- Venny–Interactive Tool for Comparing Lists Using Venn Diagrams