Biomarkers in Cancer Staging, Prognosis and Treatment Selection

By J. Ludwig, John N. Weinstein. Nature Reviews. Cancer, 2005

1,676 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0d00beedd4a299f89751c5c773891d1d98a5f13f

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Citations in the corpus

Serum microRNA signatures identified in a genome-wide serum microRNA expression profiling predict survival of non-small-cell lung cancer. (2010, background): “Information downloaded from jco.ascopubs.org and provided by TU MUNCHEN TEILBIBLIOTHEK MEDIZIN on March 3, specific miRNAs in lung tissue are correlated with disease prognosis and clinical outcome.10,11 Recently, we discovered with excitement that human serum/ plasma contains a large amount of stabl”
Mining the plasma proteome for cancer biomarkers (2008, neutral): “Proteins are also used to monitor response to therapy and recurrence of disease in ovarian, pancreatic and colon cancer, through measuring the antigens CA125, CA19-9 and carcinoembryonic antigen, respectivel”
EpCAM and alpha-fetoprotein expression defines novel prognostic subtypes of hepatocellular carcinoma. (2008, background): “3–5). Thus, identification of potentialbiomarkers and therapeutic targets in cancer to provide personalized therapy is of great interest ( 6 ).”
MicroRNA signature predicts survival and relapse in lung cancer. (2008, background): “Advances in genomics and proteomics have generated many candidate markers with potential clinical value (Ludwig and Weinstein, 2005).”
Electrochemical Immunosensors for Detection of Cancer Protein Biomarkers (2012, background): “4 These biomarker panels hold enormous potential for early cancer detection and personalized therapy.(5) 7”
The crucial role of protein phosphorylation in cell signaling and its use as targeted therapy (Review) (2017, neutral): “Many of these kinases are now considered cancer biomarkers, such as EGFR for colon cancer, cKIT for GISTs, and human EGFR-related gene (Her2) for breast cancer (112).”
Paul Ehrlich's magic bullet concept: 100 years of progress (2008, methodology): “Furthermore, using biomarkers in preclinical drug discovery and development facilitates the optimization of pharmacokinetics, pharmacodynamic and therapeutic parameters so that the best compound is selected for clinical evaluatio”
Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer (2017, methodology): “The most widely used biomarkers in CRC are currently the determination of MSI and KRAS mutations in tumour samples in order to classify the tumour, make a prognosis of the disease and manage therapy [181].”
Nanotechnology for Early Cancer Detection (2010, methodology): “Blood 2007, 109, 5096-5103.”
A Review on a Deep Learning Perspective in Brain Cancer Classification (2019, background): “This test diagnoses tumors, helps to find its type and may help in tumor growth measurement, treatment response and personalized treatment therapy [53].”
Systems medicine: the future of medical genomics and healthcare (2009, neutral): “perturbation targets for drug development [187-196].”