HPV pathway profiling: HPV related cervical dysplasia and carcinoma studies.

Cervical cancer is the second most common malignancy among women worldwide. While more than 90% of cervical cancers carry one or more high risk HPV types, the exact relationship between HPV oncoproteins and signaling pathways alterations in cervical cancer remains to be clarified. Vaccines and targeted therapies are today considered of great potential for the improvement of patients' outcome. This review will focus on the interaction of HPV with cervical cancer pathway activations. Next generation high throughput screening technologies for molecular and protein profiling as well as innovative logistics, necessary for the implementation of the personalized care of cervical cancer patients will be discussed.

Pathway profiling and rational trial design for studies in advanced stage cervical carcinoma: a review and a perspective.

Multiple genetic abnormalities will have occurred in advanced cervical cancer and multiple targeting is likely to be needed to control tumor growth. To date, dominant therapeutic targets under scrutiny for cervical cancer treatment have been EGFR pathway and angiogenesis inhibition as well as anti-HPV vaccines. The potentially most effective targets to be blocked may be downstream from the membrane receptor or at the level of the nucleus. Alterations of the pathways involved in DNA repair and in checkpoint activations, as well as the specific site of HPV genome integration, appear worth assessing. For genetic mutational analysis, complete exon sequencing may become the norm in the future but at this stage frequent mutations (that matter) can be verified by PCR analysis. A precise documentation of relevant alterations of a large spectrum of protein biomarkers can be carried out by reverse phase protein array (RPPA) or by multiplex analysis. Clinical decision-making on the drug(s) of choice as a function of the biological alteration will need input from bio-informatics platforms as well as novel statistical designs. Endpoints are yet to be defined such as the loss (or reappearance) of a predictive biomarker. Single or dual targeting needs to be explored first in relevant preclinical animal and in xenograft models prior to clinical deployment.

Gene Therapy Applications to Cancer Treatment.

Over the past ten years significant advances have been made in the fields of gene therapy and tumour immunology, such that there now exists a considerable body of evidence validating the proof in the principle of gene therapy based cancer vaccines. While clinical benefit has so far been marginal, data from preclinical and early clinical trials of gene therapy combined with standard therapies are strongly suggestive of additional benefit. Many reasons have been proposed to explain the paucity of clinical responses to single agent vaccination strategies including the poor antigenicity of tumour cells and the development of tolerance through down-regulation of MHC, costimulatory, signal transduction, and other molecules essential for the generation of strong immune responses. In addition, there is now evidence from animal models that the growing tumour may actively inhibit the host immune response. Removal of the primary tumour prior to T cell transfer from the spleen of cancer bearing animals, led to effective tumour cell line specific immunity in the recipient mouse suggesting that there is an ongoing tumour-host interaction. This model also illustrates the potential difficulties of clinical vaccine trials in patients with advanced stage disease.

Circulating macrophage colony stimulating factor as a marker of tumour progression.

Tumour expression of the macrophage colony stimulating factor (CSF-1 or MCSF) has been associated with an adverse prognosis in breast cancer, through an effect on the promotion of metastasis. The aim of the present study was to evaluate the clinical relevance of high circulating CSF-1 levels in patients with newly diagnosed breast tumours and correlate CSF-1 with clinico-pathological parameters. A secondary aim was to also measure CSF-1 in patients with other tumour types and at different stages of disease. Using a commercially available ELISA, pre-treatment plasma levels of CSF-1 were assessed, in 471 consecutive patients diagnosed with breast tumours, in 70 patients with newly diagnosed cancer of the head & neck, in 32 men with prostate cancer metastatic to bone and in 39 women with advanced metastatic breast cancer. Mean CSF-1 levels were significantly higher in patients with locally advanced (p <.015) or metastatic breast tumours (p <.048) and in a group of primary breast cancer patients (n = 26) selected for intensive chemotherapy because of multiple adverse tumour characteristics (p <.0002). Mean CSF-1 was also higher in patients younger than 35 years (p <.02) and in post-menopausal patients (p <.03). There was no significant association with tumour histologic type, grade, or other individual histopathologic parameters. No significant association was found between pre-treatment CSF-1 and overall/relapse free survival. Median CSF-1 levels were dramatically higher in patients with newly diagnosed tumours of the head & neck (604 pg/ml), in men with prostate cancer metastatic to bone (627 pg/ml) and women with advanced metastatic breast cancer (867 pg/ml) than those seen in patients with newly diagnosed breast tumours (334 pg/ml). Our data support the hypothesis that CSF-1 may play a functional role in tumour progression to metastasis as has previously been reported in animal models.

Tumor antigens and antigen-presenting capacity in breast cancer.

AIMS: Cancer cells frequently express antigens capable of being recognized by the host immune system; however, any resultant immune response is often ineffective. This may be related in part to tumor-induced defects in antigen presentation. We screened for dendritic cell infiltration, tumor MHC II expression and associated lymphocytic reaction in the context of three established breast tumor antigens. METHODS: Forty primary breast tumors were evaluated by immunohistochemical techniques for expression of her2/neu, p53, and MUC1 and MHC class II molecules. Twenty-five samples were further analyzed for p53 mutations by PCR-SSCP analysis and DNA sequencing. The phenotype of tumor-infiltrating inflammatory cells was evaluated using the following markers: CD1a, MHC Class II, CD3, CD45, and CD45RO. RESULTS: Tumors with p53 mutations and overexpression, but not her2/neu or MUC1 overexpressing tumors, more frequently harbored marked CD1a+ dendritic cell infiltrates. An overall correlation between CD1a+ cell infiltrates and HLA class II expression on tumor cells (p = 0.0008) was also observed and these tumors had greater CD45RO+ lymphocytic infiltrates. CONCLUSIONS: In breast cancer, p53 mutations may present a more visible signal to the immune system and hence provide a better target for immunotherapy. Infiltrating CD1a positive cells are associated with a more dense tumor lymphocytic infiltrate and tumor cell expression of MHC II molecules.