Study on the effect of metformin in patients of metastatic renal cell cancer with diabetes receiving tyrosine kinase inhibitor therapy

Objective: The primary objective of our study was to study the effect of metformin in patients of metastatic renal cell cancer (mRCC) and diabetes who are on treatment with frontline therapy of tyrosine kinase inhibitors. The effect of therapy was described in terms of overall survival and progression free survival. Comparisons were made between group of patients receiving metformin versus group of patients receiving insulin in diabetic patients of metastatic renal cancer on frontline therapy. Exploratory analyses were also done comparing non-diabetic patients of metastatic renal cell cancer receiving frontline therapy compared to diabetic patients of metastatic renal cell cancer receiving metformin therapy. ^ Methods: The study design is a retrospective case series to elaborate the response rate of frontline therapy in combination with metformin for mRCC patients with type 2 diabetes mellitus. The cohort was selected from a database, which was generated for assessing the effect of tyrosine kinase inhibitor therapy associated hypertension in metastatic renal cell cancer at MD Anderson Cancer Center. Patients who had been started on frontline therapy for metastatic renal cell carcinoma from all ethnic and racial backgrounds were selected for the study. The exclusion criteria would be of patients who took frontline therapy for less than 3 months or were lost to follow-up. Our exposure variable was treatment with metformin, which comprised of patients who took metformin for the treatment of type 2 diabetes at any time of diagnosis of metastatic renal cell carcinoma. The outcomes assessed were last available follow-up or date of death for the overall survival and date of progression of disease from their radiological reports for time to progression. The response rates were compared by covariates that are known to be strongly associated with renal cell cancer. ^ Results: For our primary analyses between the insulin and metformin group, there were 82 patients, out of which 50 took insulin therapy and 32 took metformin therapy for type 2 diabetes. For our exploratory analysis, we compared 32 diabetic patients on metformin to 146 non-diabetic patients, not on metformin. Baseline characteristics were compared among the population. The time from the start of treatment until the date of progression of renal cell cancer and date of death or last follow-up were estimated for survival analysis. ^ In our primary analyses, there was a significant difference in the time to progression of patients receiving metformin therapy vs insulin therapy, which was also seen in our exploratory analyses. The median time to progression in primary analyses was 1259 days (95% CI: 659-1832 days) in patients on metformin therapy compared to 540 days (95% CI: 350-894) in patients who were receiving insulin therapy (p=0.024). The median time to progression in exploratory analyses was 1259 days (95% CI: 659-1832 days) in patients on metformin therapy compared to 279 days (95% CI: 202-372 days) in non-diabetic group (p-value <0.0001). ^ The median overall survival was 1004 days in metformin group (95% CI: 761-1212 days) compared to 816 days (95%CI: 558-1405 days) in insulin group (p-value<0.91). For the exploratory analyses, the median overall survival was 1004 days in metformin group (95% CI: 761-1212 days) compared to 766 days (95%CI: 649-965 days) in the non-diabetic group (p-value<0.78). Metformin was observed to increase the progression free survival in both the primary and exploratory analyses (HR=0.52 in metformin Vs insulin group and HR=0.36 in metformin Vs non-diabetic group, respectively). ^ Conclusion: In laboratory studies and a few clinical studies metformin has been proven to have dual benefits in patients suffering from cancer and type 2-diabetes via its action on the mammalian target of Rapamycin pathway and effect in decreasing blood sugar by increasing the sensitivity of the insulin receptors to insulin. Several studies in breast cancer patients have documented a beneficial effect (quantified by pathological remission of cancer) of metformin use in patients taking treatment for breast cancer therapy. Combination of metformin therapy in patients taking frontline therapy for renal cell cancer may provide a significant benefit in prolonging the overall survival in patients with metastatic renal cell cancer and diabetes. ^

Molecular studies of human high grade B cell non -Hodgkin's lymphomas

The non-Hodgkin's B cell lymphomas are a diverse group of neoplastic diseases. The incidence rate of the malignant tumors has been rising rapidly over the past twenty years in the United States and worldwide. The lack of insight to pathogenesis of the disease poses a significant problem in the early detection and effective treatment of the human malignancies. These studies attempted to investigate the molecular basis of pathogenesis of the human high grade B cell non-Hodgkin's lymphomas with a reverse genetic approach. The specific objective was to clone gene(s) which may play roles in development and progression of human high grade B cell non-Hodgkin's lymphomas.^ The messenger RNAs from two high grade B cell lymphoma lines, CJ and RR, were used for construction of cDNA libraries. Differential screening of the derived cDNA libraries yielded a 1.4 kb cDNA clone. The gene, designated as NHL-B1.4, was shown to be highly amplified and over-expressed in the high grade B cell lymphoma lines. It was not expressed in the peripheral blood lymphoid cells from normal donors. However, it was inducible in peripheral blood T lymphocytes by a T cell mitogen, PHA, but could not be activated in normal B cells by B cell mitogen PMA. Further molecular characterization revealed that the gene may have been rearranged in the RR and some other B cell lymphoma lines. The coding capacity of the cDNA has been confirmed by a rabbit reticulocyte lysate and wheat germ protein synthesis system. A recombinant protein with a molecular weight of approximate 30 kDa was visualized in autoradiogram. Polyclonal antisera have been generated by immunization of two rabbits with the NHL-B1.4 recombinant protein produced in the E. coli JM109. The derived antibody can recognize a natural protein with molecular weight of 49 kDa in cell lysate of activated peripheral T lymphocytes of normal donors and both the cell lysate and supernatant of RR B cell lymphoma lines. The possible biologic functions of the molecule has been tested preliminarily in a B lymphocyte proliferation assay. It was found that the Q-sepharose chromatograph purified supernatant of COS cell transfection could increase tritiated thymidine uptake by B lymphocytes but not by T lymphocytes. The B cell stimulatory activity of the supernatant of COS cell tranfection could be neutralized by the polyclonal antisera, indicating that the NHL-B1.4 gene product may be a molecule with BCGF-like activity.^ The expression profiles of NHL-B1.4 in normal and neoplastic lymphoid cells were consistent with the current B lymphocyte activation model and autocrine hypothesis of high grade B cell lymphomagenesis. These results suggested that the NHL-B1.4 cDNA may be a disease-related gene of human high grade B cell lymphomas, which may codes for a postulated B cell autocrine growth factor. ^

A novel DNA damage inducible inhibitor of p53

p53 is required for the maintenance of the genomic stability of cells. Mutations in the p53 tumor-suppressor gene occur in more than 50% of human cancers of diverse types. In addition, 70% of families with Li-Fraumeni syndrome have a germline mutation in p53, predisposing these individuals to multiple forms of cancer. In response to DNA damage, p53 becomes stabilized and activated. However the exact mechanism by which DNA damage signals the stabilization and activation of p53 still remains elusive. The biochemical activity of p53 that is required for tumor suppression, and presumably the cellular response to DNA damage, involves the ability of the protein to bind to specific DNA sequences and to function as a transcription factor. For the downstream targets, p53 transactivates many genes involved in growth arrest, apoptosis and DNA repair such as p21, Bax and GADD45, respectively. An open question in the field is how cells can determine the downstream effects of p53. ^ We hypothesize that, through its associated proteins, p53 can differentially transactivate its target genes, which determine its downstream effect. Additionally, p53 interacting proteins may be involved in signaling for the stabilization and activation of p53. Therefore, a key aspect to understanding p53 function is the identification and analysis of proteins that interact with it. We have employed the Sos recruitment system (SRS), a cytoplasmic yeast two-hybrid screen to identify p53 interacting proteins. The SRS is based on the ability of Sos to activate Ras when it becomes localized to the plasma membrane. The system takes advantage of an S. cerevisiae strain, cdc25-2 temperature sensitive mutant, harboring a mutation in Sos. In this strain, fusion proteins containing a truncated Sos will only localize to the membrane by protein-protein interaction, which allows growth at non-permissive temperature. This system allows the use of intact transcriptional activators such as p53. ^ To date, using a modified SRS library screen to identify p53 interacting proteins, I have identified p53 (known to interact with itself) and a novel p53-interacting protein (PIP). PIP is a specific p53 interacting protein in the SRS. The interaction of p53 and PIP was further confirmed by performing in vitro and in vivo binding assays. In the in vivo binding study, the interaction can only be detected in the presence of ionizing radiation suggesting that this interaction might be involved in DNA-damage induced p53-signalling pathway. After screening cDNA and genomic libraries, a full-length PIP-cDNA clone ( ∼ 3kb) was obtained which encodes a protein of 429 amino acids with calculated molecular weight of 46 kDa. The results of genebank search indicated that the PIP is an unidentified gene and contains a conserved ring-finger domain, which is present in a diverse family of regulatory proteins involved in different aspects of cellular function. Northern blot analysis revealed that the size of its messenge is approximately 3 kb preferentially expressed in brain, heart, liver and kidney. The PIP protein is mainly located in the cytoplasm as determined by the cellular localization of a green fluorescence fusion protein. Preliminary functional analysis revealed that PIP downregulated the transactivation activity of p53 on both p21 and mdm2 promoters. Thus, PIP may be a novel negative regulator of p53 subsequent to DNA damage. ^