Potential misidentification of cyclooxygenase-2 by Western blot analysis and prevention through the inclusion of appropriate controls.

Cyclooxygenase (COX)-2 plays an important role in the development of cancer and has been recognized as a potential therapeutic target. Because nonsteroidal anti-inflammatory drugs (NSAIDs) are able to inhibit the activity of this enzyme, the potential efficacy of such drugs for purposes of cancer prevention or therapy is an area of intense research. Therefore, it is of critical importance to unequivocally determine the expression levels of COX-2 protein in tumor cells. In this regard, there are several conflicting reports in the literature where the same type of tumor cell lines were reported as COX-2 positive and as COX-2 negative. We found that during Western blot analysis of COX-2 positive and COX-2 negative cells, different antibodies to COX-2 protein are able to generate strong signals, which are false-positives and can be confused with COX-2. Thus, we believe that some of the conflicting reports on COX-2 expression in tumor cell lines could be the result of improper interpretation of the Western blot signals. Here, we present some of these pitfalls and suggest the inclusion of appropriate controls to unequivocally identify COX-2 protein levels.

Transcripts in pretreatment biopsies from a three-arm randomized trial in metastatic non-small-cell lung cancer.

Non-small-cell lung cancer patients with locally advanced or metastatic disease at the time of diagnosis show marginal response to chemotherapy in terms of tumor shrinkage, time to progression and median survival. The identification and implementation of predictive genetic markers of response-specific cytotoxic drugs is a priority of current research and future trials. In this study, we have used quantitative PCR to analyse expression of beta-tubulin III, stathmin, RRM1, COX-2 and GSTP1 in mRNA isolated from paraffin-embedded tumor biopsies of 75 nonsmall-cell lung cancer patients treated as part of a large randomized trial. In total, 22 patients were treated with gemcitabine/cisplatin, 25 with vinorelbine/cisplatin and 28 with paclitaxel/carboplatin. There were no differences in clinical characteristics and transcript levels in the pretreatment biopsies according to treatment arm. Patients with low beta-tubulin III levels had better response in the paclitaxel/carboplatin arm (P=0.05), and those with low RRM1 levels showed a tendency to better response in the gemcitabine/cisplatin arm. Time to progression was influenced by beta-tubulin III (P=0.03) and stathmin (P=0.05) levels in the vinorelbine/cisplatin arm, and there was a tendency toward correlation between beta-tubulin III levels and time to progression in the paclitaxel/carboplatin arm. RRM1 levels influenced time to progression (P=0.05) and even more so, survival (P=0.0028) in the gemcitabine/cisplatin arm. The predictive value of beta-tubulin III, stathmin and RRM1 should be tested in prospective customized chemotherapy trials, the results of which will help tailor chemotherapy to improve patient survival.

Subtypes of pancreatic ductal adenocarcinoma and their differing responses to therapy.

Pancreatic ductal adenocarcinoma (PDA) is a lethal disease. Overall survival is typically 6 months from diagnosis. Numerous phase 3 trials of agents effective in other malignancies have failed to benefit unselected PDA populations, although patients do occasionally respond. Studies in other solid tumors have shown that heterogeneity in response is determined, in part, by molecular differences between tumors. Furthermore, treatment outcomes are improved by targeting drugs to tumor subtypes in which they are selectively effective, with breast and lung cancers providing recent examples. Identification of PDA molecular subtypes has been frustrated by a paucity of tumor specimens available for study. We have overcome this problem by combined analysis of transcriptional profiles of primary PDA samples from several studies, along with human and mouse PDA cell lines. We define three PDA subtypes: classical, quasimesenchymal and exocrine-like, and we present evidence for clinical outcome and therapeutic response differences between them. We further define gene signatures for these subtypes that may have utility in stratifying patients for treatment and present preclinical model systems that may be used to identify new subtype specific therapies.

High expression of HIF1a is a predictor of clinical outcome in patients with pancreatic ductal adenocarcinomas and correlated to PDGFA, VEGF, and bFGF.

PURPOSE: Pancreatic cancer still has one of the worst prognoses in gastrointestinal cancers with a 5-year survival rate of 5%, making it necessary to find markers or gene sets that would further classify patients into different risk categories and thus allow more individually adapted multimodality treatment regimens. In this study, we investigated the prognostic values of HIF1a, bFGF, VEGF, and PDGFA gene expressions as well as their interrelationships. EXPERIMENTAL DESIGN: Formalin-fixed paraffin-embedded tissue samples were obtained from 41 patients with pancreatic adenocarcinoma (age, 65; range, 34-85 years). After laser capture microdissection, direct quantitative real-time reverse transcription-polymerase chain reaction assays were performed in triplicates to determine HIF1a, PDGFA, VEGF, and bFGF gene expression levels. Multivariate Cox proportional hazards regression analysis was used to assess the impact of HIF1a gene expression on prognosis. RESULTS: HIF1a was significantly correlated to every gene we tested: bFGF (P = .04), VEGF (P = .02), and PDGFA (P = .03). Tumor size, P = .04, and high HIF1a mRNA expression (cutoff, 75th percentile) had a significant impact on survival, P = .009 (overall model fit, P = .02). High HIF1a expression had a sensitivity of 87.1% and a specificity of 55.6% for the diagnosis short (<6 months) versus long (6-60 months) survival. CONCLUSIONS: Measuring PDGFA, bFGF, and HIF1a expression may contribute to a better understanding of the prognosis of patients with pancreatic cancer and may even play a crucial role for the distribution of patients to multimodal therapeutic regimens. Larger studies including patients treated with actual chemotherapeutics seem to be warranted.

Genistein-induced neuroendocrine differentiation of prostate cancer cells.

BACKGROUND: Neuroendocrine (NE) cells are present in normal prostate and their number appears to be increased in advanced prostate cancer (PCA). In this study, we studied the effect of the phytoestrogen, genistein, on NE differentiation of LNCaP cells in vitro. METHODS: Neuroendocrine marker expression of LNCaP cells exposed to genistein was measured by immunohistochemistry, Western blot, and real-time PCR methods. Western blot analysis was used to study cell cycle and signaling pathways induced by genistein treatment. RESULTS: Six days after continuous genistein treatment, the majority of genistein-surviving cancer cells underwent transdifferentiation into a NE-like phenotype overexpressing the NE markers chromogranin A, synaptophysin, serotonin, and beta-III tubulin. This NE differentiation process was associated with upregulation of the cell cycle modulators p21, p27, and p53, and activation of the MAPK and STAT3 pathways. CONCLUSION: Our data indicate that genistein evokes not only apoptosis but also NE transdifferentiation of PCA cells.