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A Cromer

Publications and source records attributed to A Cromer.

4 recordsLinked to original sources

[Proteomics and breast cancer].

Breast cancer is the first cause of death between 35 and 55 years. Genetic alterations and modifications in gene expression are found during different steps of tumor progression. These changes are translated at the protein level where quantitative and qualitative modifications are found in tumor compared to normal samples. Similarly to studies aimed at deciphering transcriptional changes important in cancer, proteomic approaches allow the global and comparative study of proteins in normal and pathological samples. The objective of this article is to present common proteomic methods and to review the first published results concerning proteomics studies applied to breast cancer with an emphasis on reports obtained using the SELDI-TOF MS (Surface Enhanced Laser Desorption Ionization Time-Of-Flight Mass Spectrometry). In breast cancer, it is possible to explore the tumoral proteome and/or the blood derived proteome. The first studies are aimed at globally understanding the disease while the latter are aimed at discovering serum proteins or biomarkers useful for the early detection, diagnosis, prognosis and management of cancer. Promising results are obtained using these emerging methods and these novel biomarkers should be validated in the future and will have an important impact for the management of breast cancer patients.

Biomarkers, Tumor↗

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display.

Head and neck squamous cell carcinoma (HNSCC) is common worldwide and is associated with a poor rate of survival. Identification of new markers and therapeutic targets, and understanding the complex transformation process, will require a comprehensive description of genome expression, that can only be achieved by combining different methodologies. We report here the HNSCC transcriptome that was determined by exhaustive differential display (DD) analysis coupled with validation by different methods on the same patient samples. The resulting 820 nonredundant sequences were analysed by high throughput bioinformatics analysis. Human proteins were identified for 73% (596) of the DD sequences. A large proportion (>50%) of the remaining unassigned sequences match ESTs (expressed sequence tags) from human tumours. For the functionally annotated proteins, there is significant enrichment for relevant biological processes, including cell motility, protein biosynthesis, stress and immune responses, cell death, cell cycle, cell proliferation and/or maintenance and transport. Three of the novel proteins (TMEM16A, PHLDB2 and ARHGAP21) were analysed further to show that they have the potential to be developed as therapeutic targets.

Amino Acid Sequence↗

Differential expression profiling of head and neck squamous cell carcinoma (HNSCC).

Head and neck squamous cell carcinoma (HNSCC) is the fifth most common cancer in men with an incidence of about 780000 new cases per year worldwide and a poor rate of survival. There is a need for a better understanding of HNSCC, for the development of rational targeted interventions and to define new prognostic or diagnostic markers. To address these needs, we performed a large-scale differential display comparison of hypopharyngeal HNSCCs against histologically normal tissue from the same patients. We have identified 70 genes that exhibit a striking difference in expression between tumours and normal tissues. There is only a limited overlap with other HNSCC gene expression studies that have used other techniques and more heterogeneous tumour samples. Our results provide new insights into the understanding of HNSCC. At the genome level, a series of differentially expressed genes cluster at 12p12-13 and 1q21, two hotspots of genome disruption. The known genes share functional relationships in keratinocyte differentiation, angiogenesis, immunology, detoxification, and cell surface receptors. Of particular interest are the 13 'unknown' genes that exist only in EST, theoretical cDNA and protein databases, or as chromosomal locations. The differentially expressed genes that we have identified are potential new markers and therapeutic targets.

Aged↗