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Sensitive Cell Lines (sensitive + cell_line)
Selected AbstractsGene expression profiling of 30 cancer cell lines predicts resistance towards 11 anticancer drugs at clinically achieved concentrationsINTERNATIONAL JOURNAL OF CANCER, Issue 7 2006Balazs Györffy Abstract Cancer patients with tumors of similar grading, staging and histogenesis can have markedly different treatment responses to different chemotherapy agents. So far, individual markers have failed to correctly predict resistance against anticancer agents. We tested 30 cancer cell lines for sensitivity to 5-fluorouracil, cisplatin, cyclophosphamide, doxorubicin, etoposide, methotrexate, mitomycin C, mitoxantrone, paclitaxel, topotecan and vinblastine at drug concentrations that can be systemically achieved in patients. The resistance index was determined to designate the cell lines as sensitive or resistant, and then, the subset of resistant vs. sensitive cell lines for each drug was compared. Gene expression signatures for all cell lines were obtained by interrogating Affymetrix U133A arrays. Prediction Analysis of Microarrays was applied for feature selection. An individual prediction profile for the resistance against each chemotherapy agent was constructed, containing 42,297 genes. The overall accuracy of the predictions in a leave-one-out cross validation was 86%. A list of the top 67 multidrug resistance candidate genes that were associated with the resistance against at least 4 anticancer agents was identified. Moreover, the differential expressions of 46 selected genes were also measured by quantitative RT-PCR using a TaqMan micro fluidic card system. As a single gene can be correlated with resistance against several agents, associations with resistance were detected all together for 76 genes and resistance phenotypes, respectively. This study focuses on the resistance at the in vivo concentrations, making future clinical cancer response prediction feasible. The TaqMan-validated gene expression patterns provide new gene candidates for multidrug resistance. Supplementary material for this article can be found on the International Journal of Cancer website at http://www.interscience.wiley.com/jpages/0020-7136/suppmat. © 2005 Wiley-Liss, Inc. [source] Intrinsic chemotherapy resistance to the tubulin-binding antimitotic agents in renal cell carcinomaINTERNATIONAL JOURNAL OF CANCER, Issue 1 2005Roisean E. Ferguson Abstract Renal cancer is one of the most chemoresistant tumor types. Using a panel of 10 established renal cancer cell lines that have not been subjected to prior drug selection, the range of functional resistance phenotypes to the tubulin-binding agents paclitaxel, vinblastine, vincristine and patupilone (epothilone B, EPO906) was determined, together with expression of P-glycoprotein (PgP), multidrug resistance associated protein-2 (MRP2) and major vault protein (MVP) proteins. The IC50 values for vincristine correlated positively with PgP expression (r = 0.73; p = 0.031), with values for paclitaxel and vinblastine just failing to reach significance. A significant positive correlation was observed for sensitivity to paclitaxel and MRP2 expression only (r = 0.8; p = 0.013). MVP expression did not correlate with sensitivity to any of the drugs examined. All cell lines exhibited much greater sensitivity to patupilone, demonstrating for the first time the potential use of patupilone in this cancer. In tissue samples from chemotherapy-naive renal cell carcinoma (RCC) patients, marked downregulation or absence of PgP in many tumor cells with expression levels more similar to sensitive cell lines rather than the resistant lines was seen. Similarly, MRP2 was absent or only weakly present in tumor cells, whereas MVP was very strongly upregulated in most tumor samples. This study illustrating discrepancies between results exclusively based on studies in cell lines and findings in vivo suggests that the role of PgP and MRP2 in intrinsic resistance in RCC in vivo may be less than expected from the in vitro findings and supports a potential role for MVP on the basis of in vivo expression studies. © 2004 Wiley-Liss, Inc. [source] Enhancement of Ad-p53 Therapy with Docetaxel in Head and Neck Cancer,THE LARYNGOSCOPE, Issue 11 2004George H. Yoo MD Abstract Objective: The objective of this project was to determine the mechanisms in which docetaxel enhances Ad-p53 tumor suppressive effects in head and neck cancer. Background: In advanced head and neck squamous cell carcinoma (HNSCC), the 5-year survival rate is less than 40%. Because patients with advanced HNSCC have a high rate of local-regional failure (40-60%) with existing treatment modalities, aggressive local therapy approaches need to be developed. Previous data show that docetaxel or Ad-p53 alone have significant anti-tumor activity in HNSCC. Before testing whether a combination approach (Ad-p53 and docetaxel) could be developed in clinical trials, preclinical experiments were performed. Methods: The p53 gene was overexpressed in 2 head and neck squamous carcinoma (HNSCC) cell lines, HN30 and HN12, and a murine Balb/c mucoepidermoid carcinoma (BMEC) cell line. Docetaxel's enhancement of adenoviral transduction (bGAL expression), coxsakie-adenovirus receptor (CAR) expression, and Ad-p53 induction of apoptosis (Annexin V expression) were measured. The modulation of regulators in the cell cycle, apoptosis and signal transduction pathways were measured using Western blot. Results: Docetaxel increased adenoviral transduction, which was dependent on the dose of docetaxel and levels of Ad-bGAL. The enhanced viral transduction was due in part to the upregulation of the CAR protein. Pretreatment with docetaxel enhanced Ad-p53-induced apoptosis through increased expression of exogenous p53. Together, the combination of docetaxel and Ad-p53 altered expression of key regulators in the cell cycle, apoptosis and signal transduction pathways with an increase in the expression of p53, bax, cleaved PARP, cleaved caspase-3 and phosphorylation of c-Jun at position at 63Ser. Cyclin A and B1 expression were down regulated by docetaxel and Ad-p53. When comparing the docetaxel-resistant to sensitive cell lines, the altered expression of p27 and skp1 by docetaxel and Ad-p53 were dissimilar between these cell lines. Conclusions: Docetaxel enhanced Ad-p53 transduction and increased expression of exogenous p53 gene transfer, apoptosis, and antitumor mechanisms. These results support a clinical combination of docetaxel with p53 gene therapy in patients with head and neck cancer. [source] Establishment of six new human biliary tract carcinoma cell lines and identification of MAGEH1 as a candidate biomarker for predicting the efficacy of gemcitabine treatmentCANCER SCIENCE, Issue 4 2010Hidenori Ojima The aim of this study was to establish new biliary tract carcinoma (BTC) cell lines and identify predictive biomarkers for the potential effectiveness of gemcitabine therapy. Surgical specimens of BTC were transplanted directly into immunodeficient mice to establish xenografts, then subjected to in vitro cell culture. The gemcitabine sensitivity of each cell line was determined and compared with the genome-wide gene expression profile. A new predictive biomarker candidate was validated using an additional cohort of gemcitabine-treated BTC cases. From 55 BTC cases, we established 19 xenografts and six new cell lines. Based on their gemcitabine sensitivity, 10 BTC cell lines (including six new and four publicly available ones) were clearly categorized into two groups, and MAGEH1 mRNA expression in the tumor cells showed a significant negative correlation with their sensitivity to gemcitabine. Immunohistochemically, MAGEH1 protein was detected in three (50%) out of six sensitive cell lines, and four (100%) out of four resistant cell lines. In the validation cohort of gemcitabine-treated recurrence cases, patients were categorized into "effective" and "non-effective" groups according to the RECIST guidelines for assessment of chemotherapeutic effects. MAGEH1 protein expression was detected in two (40%) out of five "effective" cases and all four (100%) "non-effective" cases. We have established a new BTC bioresource that covers a wide range of biological features, including drug sensitivity, and is linked with clinical information. Negative expression of MAGEH1 protein serves as a potential predictive marker for the effectiveness of gemcitabine therapy in BTC. (Cancer Sci 2010; 101: 882,888) [source] | ||||||||||