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The focus of this review is on implications of molecular classification for prognosis and therapeutic decision making in HCC patients.
Our findings suggest that the gene expression signature of DCs can provide a molecular classification for use in the selection of anti-inflammatory or adjuvant molecules with specific effects on DC activity.
These kinds of studies indicate the complexity in finding a consistent molecular classification for such a problem.
The existence of this MA subgroup suggests a new molecular classification for breast cancers, including luminal, MA and BL breast cancer subgroups [ 5].
As there are over a hundred types of cancers, and potentially even more subtypes, it is essential to develop multi-category methodologies for molecular classification for any meaningful practical application.
As there are over a hundred types of cancers, and potentially even more subtypes [ 8], it is essential to develop multi-category methodologies for molecular classification for any practical application [ 9].
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In bringing new technologies to the field, the Director's Challenge grant will fund institutions to use novel technologies in devising molecular classifications for human cancers including breast.
Previous ground-breaking studies have reported molecular classifications for key cancer types based on their global patterns of gene expression [ 13- 16].
In this review we will focus on proteomic analysis of the leukemic cells in CML, juvenile chronic myelomonocytic leukemia (JCMML), adult chronic myelomonocytic leukemia (CMML), and AML, and illustrate how proteomics may create new diagnostics and molecular classifications for the disease.
Microarray analysis and reverse-transcriptase polymerase chain reaction (RT-PCR) are useful for the molecular classification of tumors and for deriving biological mechanisms that underpin differential prognosis for patients with various types of cancer, including osteosarcoma [ 24- 27].
We conclude that it is possible to use pathway analysis for molecular classification of bladder tumors.
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