Dissecting the Akt/mammalian target of rapamycin signaling network: emerging results from the head and neck cancer tissue array initiative.

PURPOSE: As an approach to evaluate the expression pattern and status of activation of signaling pathways in clinical specimens from head and neck squamous cell carcinoma (HNSCC) patients, we established the Head and Neck Cancer Tissue Array Initiative, an international consortium aimed at developing a high-density HNSCC tissue microarray, with a high representation of oral squamous cell carcinoma. EXPERIMENTAL DESIGN: These tissue arrays were constructed by acquiring cylindrical biopsies from multiple individual tumor tissues and transferring them into tissue microarray blocks. From a total of 1,300 cases, 547 cores, including controls, were selected and used to build the array. RESULTS: Emerging information by the use of phosphospecific antibodies detecting the activated state of signaling molecules indicates that the Akt-mammalian target of rapamycin (mTOR) pathway is frequently activated in HNSCC, but independently from the activation of epidermal growth factor receptor or the detection of mutant p53. Indeed, we identified a large group of tissue samples displaying active Akt and mTOR in the absence of epidermal growth factor receptor activation. Furthermore, we have also identified a small subgroup of patients in which the mTOR pathway is activated but not Akt, suggesting the existence of an Akt-independent signaling route stimulating mTOR. CONCLUSIONS: These findings provide important information about the nature of the dysregulated signaling networks in HNSCC and may also provide the rationale for the future development of novel mechanism-based therapies for HNSCC patients.

Proteomic analysis of lymph.

This report provides the first proteomic analysis of normal ovine lymph. By establishing the fact that lymph is more than an ultrafiltrate of blood plasma, it documents that the lymph proteome contains an array of proteins that differentiates it from plasma. The protein chip technology, surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS), two-dimensional gel electrophoresis (2-D PAGE) and MS, were employed to examine the protein expression profiles of ovine lymph. Using a weak cation exchange chip surface to assay lymph and plasma samples by SELDI-TOF-MS showed that the analysis of peak maps from lymph contained three protein peaks that were found only in lymph, while analysis of peak maps from plasma samples showed that five protein peaks were found only in plasma. Lymph and plasma samples showed eight peaks that were common to both. There were also more ions present in plasma than in lymph, which is consistent with the 2-D PAGE analysis. MS analysis of a large number of protein spots from 2-D PAGE gels of lymph produced MS/MS sequences for 18 proteins that were identified by searching against a comprehensive protein sequence database. As in plasma, large protein spots of albumin dominated the protein pattern in lymph. Other major proteins identified in 2-D PAGE gels of lymph included, fibrinogen alpha- and beta-chains, immunoglobulin G (IgG) heavy chain, serotransferrin precursor, lactoferrin, and apolipoprotein A-1. Two proteins that were identified and were differentially expressed in lymph were glial fibrillary astrocyte acidic protein and neutrophil cytosol factor-1. By bringing the technologies of proteomics to bear on the analysis of lymph, it is possible to detect proteins in lymph that are quantitatively and qualitatively differentially expressed from those of plasma.

Proteomic technologies to study diseases of the lymphatic vascular system.

Now that the human genome has been mapped, a new challenge has emerged: deciphering the various products of individual genes. Consequently, new proteomic technologies are being developed to monitor and identify protein function and interactions responsible for the total activities of the cell. The application of these new proteomic technologies to study cellular activities, will lead to a faster sample throughput and increased sensitivity for the detection of individual proteins, thus providing major opportunities for the discovery of new biomarkers for the early detection of protein alterations associated with the progression of the disease state.