- Open Access
Synthetic lethal RNAi screening identifies sensitizing targets for gemcitabine therapy in pancreatic cancer
© Azorsa et al; licensee BioMed Central Ltd. 2009
- Received: 12 March 2009
- Accepted: 11 June 2009
- Published: 11 June 2009
Pancreatic cancer retains a poor prognosis among the gastrointestinal cancers. It affects 230,000 individuals worldwide, has a very high mortality rate, and remains one of the most challenging malignancies to treat successfully. Treatment with gemcitabine, the most widely used chemotherapeutic against pancreatic cancer, is not curative and resistance may occur. Combinations of gemcitabine with other chemotherapeutic drugs or biological agents have resulted in limited improvement.
In order to improve gemcitabine response in pancreatic cancer cells, we utilized a synthetic lethal RNAi screen targeting 572 known kinases to identify genes that when silenced would sensitize pancreatic cancer cells to gemcitabine.
Results from the RNAi screens identified several genes that, when silenced, potentiated the growth inhibitory effects of gemcitabine in pancreatic cancer cells. The greatest potentiation was shown by siRNA targeting checkpoint kinase 1 (CHK1). Validation of the screening results was performed in MIA PaCa-2 and BxPC3 pancreatic cancer cells by examining the dose response of gemcitabine treatment in the presence of either CHK1 or CHK2 siRNA. These results showed a three to ten-fold decrease in the EC50 for CHK1 siRNA-treated cells versus control siRNA-treated cells while treatment with CHK2 siRNA resulted in no change compared to controls. CHK1 was further targeted with specific small molecule inhibitors SB 218078 and PD 407824 in combination with gemcitabine. Results showed that treatment of MIA PaCa-2 cells with either of the CHK1 inhibitors SB 218078 or PD 407824 led to sensitization of the pancreatic cancer cells to gemcitabine.
These findings demonstrate the effectiveness of synthetic lethal RNAi screening as a tool for identifying sensitizing targets to chemotherapeutic agents. These results also indicate that CHK1 could serve as a putative therapeutic target for sensitizing pancreatic cancer cells to gemcitabine.
- Pancreatic Cancer
- Pancreatic Cancer Cell
- Pancreatic Cancer Cell Line
Pancreatic cancer is one of the most aggressive and lethal cancers known today, with a 5-year survival of only 4%. In 2008, pancreatic cancer was the fourth-leading cause of cancer-related deaths . Patients diagnosed with pancreatic cancer typically have poor prognosis partly because the cancer usually causes no symptoms early on, leading to metastatic disease at the time of diagnosis. The treatment options include chemotherapy, surgery and radiation. The current preferred therapeutic drug to treat pancreatic cancer is gemcitabine, yet the one-year survival of pancreatic cancer patients treated with gemcitabine is only about 18%, representing a significant but modest advancement in the quality of life [2, 3].
Gemcitabine (2', 2'-difluoro 2'-deoxycytidine) is a pyrimidine based nucleoside analogue that replaces the nucleic acid cytidine during DNA replication thereby arresting tumor growth since new nucleosides cannot be attached to the faulty nucleoside resulting in apoptosis . Besides pancreatic cancer, gemcitabine is also used for the treatment of various other carcinomas including non-small cell lung cancer , ovarian cancer  and breast cancer . Due to the poor prognosis of pancreatic cancer, improved therapies are desperately needed and it would be of great benefit to identify agents that sensitize to gemcitabine. Adding other chemotherapeutic agents to gemcitabine has not resulted in meaningful improvement in survival of pancreatic cancer patients. Randomized trials studying the addition of molecular targeting agents (cetuximab, bevacizumab, farnesyl transferase inhibitors and metalloproteinase inhibitors) to gemcitabine compared with gemcitabine alone have been disappointing (for review see ). Therefore, newer strategies need to be devised to improve current chemotherapeutic treatments.
In order to identify potential sensitizers to gemcitabine, we employed a functional genomics approach based on high-throughput RNA interference (HT-RNAi) also known as loss-of-function screening. HT-RNAi when combined with drug treatment becomes a platform for identifying synthetic lethality. The basis of this technology is RNA interference (RNAi), a robust method of post-transcriptional silencing of genes using double-stranded RNA (dsRNA) in the form of either siRNA (short interfering RNA) or shRNA (short hairpin RNA) with sequence homology driven specificity . Large-scale libraries of siRNA and shRNA have been used to identify genes involved in many biological functions [10–17]. As kinases are becoming important drug targets for the treatment of cancer, the identification of kinases that act as sensitizing targets to gemcitabine will facilitate the design and development of better drug combinations for treatment of pancreatic cancer.
In this study, our goal was to develop and implement a robust synthetic lethal assay in order to identify genes that potentiate the response to gemcitabine in pancreatic cancer cells. Using a kinase siRNA library, we identified several candidate genes and functionally validated one gene, CHK1, as a sensitizing target using gene specific siRNA in combination with gemcitabine treatment. Furthermore, specific inhibitors of CHK1 were confirmed to have synergistic response with gemcitabine treatment in pancreatic cancer cells.
The human pancreatic cancer cell lines MIA PaCa-2 and BxPC3 were obtained from the American Type Culture Collection (Manassas, VA). The MIA PaCa-2 cell line was established by Yunis, et al. in 1975 from tumor tissue of the pancreas obtained from a 65-year-old Caucasian male . The established cell line reportedly has a doubling time of about 40 hours and a colony-forming efficiency in soft agar of approximately 19%. BxPC3 cells were derived from a 61-year-old female with a primary adenocarcinoma of the pancreas. BxPC-3 cells produce mucin and form tumors, which are moderately to poorly differentiated, in nude mice similar to the primary adenocarcinoma. Cells were grown in Dulbecco's modified Eagle medium (DMEM) or RPMI-1640 respectively, supplemented with 10% FBS, 2 mM L-glutamine, 100 IU/ml penicillin G, and 100 μg/ml streptomycin and B. All media reagents were obtained from Invitrogen (Carlsbad, California, USA). The cell lines were routinely maintained at 37°C in a humidified 5% CO2 atmosphere.
Gemcitabine chlorohydrate (Eli Lilly; Indianapolis, Indiana, USA) was obtained from the Mayo Clinic Pharmacy (Scottsdale, Arizona, USA) and stock solutions of 100 mM were prepared by dissolving gemcitabine in serum free DMEM. Aliquots of gemcitabine were stored at -20°C until use. The CHK1 inhibitors PD 407824 and SB 218078 were obtained from Tocris (Ellisville, Missouri, USA) and EMD Biosciences (Madison, Wisconsin, USA), respectively and 10 mM stock solutions were prepared in DMSO. Short interfering RNAi targeting CHK1 or CHK2 and a non-silencing control were obtained from Qiagen (Valencia, California, USA). The siRNA target sequences were as follows: CHK1-A, AAGAAAGAGATCTGTATCAAT; CHK1-B, TTGGAATAACTCCACGGGATA; CHK1-C, AACTGAAGAAGCAGTCGCAAGT; CHK1-D, CCCGCACAGGTCTTTCCTTAT; CHK2-A, ACGCCGTCCTTTGAATAACAA; CHK2-B, AGGACTGTCTTATAAAGATTA; CHK2-C, CAGGATGGATTTGCCAATCTT; and CHK2-D, CTCCGTGGTTTGAACACGAAA. The sequences used in HT-RNAi screening were the A and B sequences for both CHK1 and CHK2.
Synthetic lethal RNAi screening
High-Throughput RNAi (HT-RNAi) was performed using the validated kinase siRNA library version 1.0 obtained from Qiagen. This library includes siRNA to 572 kinases with 2 siRNA per gene that have all been validated by quantitative real time PCR (qRT-PCR) to silence mRNA up to 75%. Stock siRNA was diluted in siRNA buffer (Qiagen) and 9.3 ng of siRNA was printed onto white Corning 384-well plates (Fisher Scientific; Pittsburgh, PA). HT-RNAi was done by reverse transfection of cells. Briefly, diluted siLentFect reagent (BioRad, Hercules, CA) in OptiMEM (Invitrogen) was added to the wells and allowed to complex with siRNA for 30 min at room temperature. MIA PaCa-2 cells were resuspended in growth media without antibiotics at a final concentration of 1000 cells/well. Plates were incubated at 37°C with 5% CO2. After 24 hours, either vehicle (serum free media) or gemcitabine was added to the wells and plates were further incubated for 72 hours. The final siRNA concentration is 13 nM. Total cell number was determined by the addition of Cell Titer Glo (Promega, Madison, Wisconsin, USA) and relative luminescence units (RLU) were measured using an EnVision plate reader (Perkin-Elmer, Wellesley, Massachusetts, USA). Raw RLU data was used to calculate viability relative to the control wells. Log2 ratios of viability from siRNA and gemcitabine treated wells versus siRNA and vehicle treated wells were computed. Hits were identified as having log2 ratios that are 1.65 standard deviations (SD) below the mean ratio level. This cutoff was chosen due to the relatively small size and focused nature of the screen.
Validation of gene silencing
To demonstrate the silencing efficiency of the siRNA targeting CHK1 or CHK2, MIA PaCa-2 were transfected with 16 nM of siRNA targeting CHK1 or CHK2 or non-silencing siRNA in 6-well plates by reverse transfection as described above. The experiment was run in duplicate and cells were incubated at 37°C for 48 hours prior to RNA extraction or 72 hours prior to preparation of protein lysates for Western Blotting.
Quantitative real time PCR
RNA extraction was done using Qiagen RNAeasy kit (Qiagen) and cDNA was prepared using iScript cDNA synthesis kit (BioRad Laboratories, CA) . Quantitative real-time PCR using TaqMan assays (Applied Biosystems) was performed to verify gene silencing of CHK1/CHK2 (Hs00967502_m1 and Hs01007290_m1, respectively). The relative quantification was done using the Ct values, determined for triplicate reactions for test and reference samples for each target and for the internal control gene [GAPDH; (Hs99999905_m1)]. Relative expression levels were calculated as 2-ΔΔCt, where ΔΔCt = ΔCt (target sample) - ΔCt (reference sample) .
Western blot analysis
Cells were treated with siRNA for 72 hours and cell lysates were prepared as described previously . Protein concentration was determined by BCA assay (Pierce; Rockford, Illinois, USA) and lysates were resolved by SDS-PAGE on 4–12% resolving gel. Proteins were transferred onto PVDF (polyvinylidene fluoride) membranes (Invitrogen) and CHK1 protein was identified using a mouse-anti-CHK1 monoclonal antibody (Santa Cruz Biotechnology; Santa Cruz, California, USA) and an HRP-conjugated goat anti-mouse secondary antibody (Jackson ImmunoResearch Laboratories, Inc; West Grove, Pennsylvania, USA). Bound antibodies were detected using SuperSignal West Femto (Pierce) and imaged using an AlphaInnotech Imager.
Functional validation for gemcitabine sensitization
For siRNA and gemcitabine studies, cells were transfected with siRNA plated in 384-well plates similar to screening conditions. Twenty-four hours later, the cells were treated with varying doses of gemcitabine in quadruplicate wells for each siRNA plus gemcitabine condition. Cell viability was determined 72 hours after drug addition using Cell Titer Glo. For CHK1 inhibitor studies, cells were treated with either SB 218078 or PD 407824 in 384-well plates for twenty-four hours prior to gemcitabine treatment. Cell viability was determined 72 hours after gemcitabine addition using Cell Titer Glo. Viability was calculated by dividing the average of the RLU values for the drug treated wells by the average of the RLU values for vehicle treated wells. The IC50 values were determined using GraphPad Prism (GraphPad Software, San Diego, California, USA) and values were shown as calculated IC50 +/- 95% confidence interval.
Label-free impedance measurement of cell growth
The principle of impedance measurement for monitoring cellular proliferation has been previously described by Solly et al. . Briefly, siRNA was introduced into MIA PaCa-2 cells by reverse transfection of 4,000 cells/well using siLentFect in triplicate wells of an ACEA 96× E-Plate (ACEA Biosciences; San Diego, California, USA). Gemcitabine was added at a final concentration of 10 nM at 24 hours after transfection of the cells. The attachment, spreading and proliferation of cells were continually monitored every 60 minutes up to 150 hours, and changes in impedance were acquired with the real time cell electronic sensing (RT-CES) system (ACEA Biosciences). Cell growth was determined by plotting cell index measurements versus time.
Synthetic lethal screening for modulators of gemcitabine response
In order to identify genes that modulate the response of pancreatic cancer cells to gemcitabine treatment, we performed synthetic lethal screening using high throughput RNAi. A robust HT-RNAi assay was developed that allowed for high efficiency siRNA transfection of MIA PaCa-2 pancreatic cells by cationic lipids in 384-well plates. Before the actual HT-RNAi screening, a transfection optimization was performed using a panel of commercially available transfection reagents and siLentfect was chosen as it showed the optimal transfection efficiency (Data not shown). We performed a drug dose response experiment with varying concentrations of gemcitabine and chose 5 and 10 nM final concentrations, as we obtained EC10–30 doses at these treatment concentrations (see Additional file 1; Supplemental figure 1).
Validation of gene silencing by CHK1 siRNA
To demonstrate the silencing efficiency of the siRNA targeting CHK1 or CHK2, MIA PaCa-2 cells were transfected with four CHK1 or CHK2 siRNA targeting different sequences or non-silencing siRNA. The experiment was run in duplicate and cells were incubated at 37°C for 48 hours prior to RNA extraction or 72 hours prior to the preparation of protein lysates. Expression analysis using qRT-PCR clearly showed that CHK1 (Figure 2A) and CHK2 (see Additional file 1; Supplemental figure 2) genes were silenced by all the four siRNA used, respectively. For all the qRT-PCR experiments, GAPDH was used as the internal control. In addition, cell lysates were analyzed by western blot using an anti-CHK1 antibody (Figure 2B) and images of the siRNA treated cells were captured (Figure 2C). Results show that all four CHK1 siRNA were able to reduce the CHK1 mRNA and protein levels compared to non-silencing control siRNA. The Western blots were also probed with anti-Tubulin antibodies to demonstrate equal protein loading (Figure 2B). MIA PaCa-2 cells treated with CHK1 siRNA showed decreased growth compared to non-silencing siRNA treated cells and no siRNA control (Figure 2C).
Gene silencing of CHK1 potentiates the response to gemcitabine
Real-time kinetic analysis of gemcitabine sensitization in pancreatic cells
CHK1 inhibitors sensitize pancreatic cancer cells to gemcitabine
In this study, we utilized a synthetic lethal screen based on high throughput RNAi to identify functionally relevant genes that could potentiate the response of pancreatic cancer cells to gemcitabine, the standard agent in pancreatic cancer chemotherapy. Literature review shows that combination therapies involving gemcitabine and other agents, such as axitinib, cisplatin, and fluorouracil are currently being studied [26–28]. Our approach to identifying combination partners for gemcitabine involves the application of a HT-RNAi functional genomics platform. Kinases are often considered to be prime drug targets because they are involved in numerous cellular pathways and are often deregulated in cancer cells. Therefore, we utilized a kinome-based HT-RNAi screening methodology to identify genes that sensitize pancreatic cancer cells to the cytotoxic effects of gemcitabine. The siRNA library used targets 572 kinases with two validated sequences per gene. Screening results identified at least 18 genes as potential sensitizing targets for two different concentrations of gemcitabine (Figure 1D). Several of these gene targets such as STK6 [29, 30] and ATR  have previously been studied as therapeutic targets in pancreatic cancer. Another target, CAMK1 has been identified as being anti-apoptotic, and a report by Franklin et al. suggested that ROI-generating treatments trigger the activation of the calcium/calmodulin-dependent kinases (CaM-kinases), which in turn have a role in preventing apoptosis . ATR, CHK1 and PKMYT1 are involved in DNA damage and G2/M cell cycle checkpoint, which clearly justifies them as good sensitizers of gemcitabine therapy [31, 33, 34]. Notably, the CHK1 kinase emerged as one of the most significant targets for gemcitabine sensitization and was followed up for further studies. Validation of gene silencing was performed by qRT-PCR and western blot analysis using four siRNA sequences targeting CHK1, two of which were used in the HT-RNAi screen (Figure 2A–B). Furthermore, treatment of MIA PaCa-2 cells with CHK1 siRNA resulted in decreased cell proliferation when compared to non-silencing control (Figure 2C), which is consistent with previous observations that silencing of CHK1 results in increased S and G2/M arrest . Preliminary analysis of CHK1 siRNA in our studies also showed S and G2/M arrest (data not shown). It is worth noting that we performed HT-RNAi screening in one pancreatic cancer cell line and this might reflect the biological behavior of clinical pancreatic cancer only to a limited degree. Further validation of our results will need to be done in other pancreatic cancer cell lines.
In order to validate the functional association of CHK1 silencing with gemcitabine treatment, we treated pancreatic cancer cells with CHK1 siRNA followed by treatment with gemcitabine. Results indicate that CHK1 silencing shifted the EC50 of gemcitabine approximately ten-fold in MIA PaCa-2 cells (Figure 3A) and approximately three-fold in BxPC3 cells (Figure 3C). This effect was notably absent in the CHK2 siRNA-treated cells (Figure 3B and 3D). The CHK1/CHK2 proteins potentiate separate signal transduction pathways, both of which play a role in cell cycle arrest in response to DNA damage . However, our data suggest that CHK1 is essential for maintaining gemcitabine-induced S-phase arrest whereas CHK2 is not. This is in accordance with previously published data [39, 40].
Loss-of-function screening using siRNA libraries has previously been used to identify genes that modulate gemcitabine activity in cervical and pancreatic cancer cell lines [12, 44]. Using a screen of pooled siRNA targeting ~20,000 genes, Bartz et al. identified CHK1 as one of several genes that shifted the IC50 of gemcitabine treatment greater than two-fold in HeLa cervical cancer cells . Using pancreatic cancer cell lines, Giroux et al. screened an siRNA library targeting kinases and found that CHK1 silencing increased apoptosis by 2.1 fold . Interestingly, six of our top eighteen significant genes were also identified by Giroux et al. as significant "hits." These genes include ATR, DGKA, KDR, RIPK1, CHK1 and MAPKAP1. Our screen not only identified CHK1 as a gemcitabine sensitizer, but also showed that CHK1 siRNA had the highest degree of potentiation of gemcitabine activity.
CHK1 targeting has recently become a focus for pharmaceutical companies [41, 45]. CBP501, a G2 checkpoint abrogator with activity against CHK1 is currently undergoing clinical development . Other CHK1 inhibitors undergoing clinical development include XL844 , AZD7762 , and 5,10-dihydro-dibenzo [b, e] [1, 4]diazepin-11-one . In the past, nonselective CHK1 inhibitors like UCN-01 and 17-AAG have been well tolerated in Phase I clinical trials [50–52]. The data presented here suggests that administering these CHK1 inhibitors in combination with gemcitabine would be more effective in treating pancreatic cancer patients than gemcitabine alone. Moreover, in vivo experiments demonstrating that inhibitors of CHK1 can increase the anti-tumor activity of gemcitabine have already been conducted in colorectal  and pancreatic cancer xenografts .
This study utilized a synthetic lethal RNAi screen targeting 572 different kinases to identify sensitizing targets to gemcitabine in pancreatic cancer cells. The RNAi screening identified several genes as potential sensitizing targets, but showed that CHK1 had the best sensitizing activity. We demonstrated potentiation of gemcitabine activity by showing a shift in the dose response curve of gemcitabine by CHK1 siRNA. In addition, we functionally-validated the combination of gemcitabine and CHK1 inhibitors as a potential treatment for pancreatic cancer patients. The preclinical finding of inhibition of CHK1 as a sensitizing target for gemcitabine is currently being tested in clinical trials. Collectively, the data presented here clearly show that synthetic lethal, high throughput RNAi screening is a powerful and robust platform for screening hundreds or thousands of genes for the identification of novel interacting targets that can enhance the activity of existing chemotherapeutic agents. This high throughput RNAi screening platform would provide an expedited method for determining effective combination therapies.
We wish to acknowledge Holly Yin, Leslie Gwinn, Kandavel Shanmugam, Christian Beaudry, Angela Rojas, John Pollack, Kati Koktavy, Debbie Ries, and Andy Gardner for their help and support. This work was supported by NIH Project Program P01 CA109552.
- Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, Thun MJ: Cancer statistics, 2008. CA Cancer J Clin. 2008, 58: 71-96. 10.3322/CA.2007.0010.View ArticlePubMedGoogle Scholar
- Carmichael J, Fink U, Russell RC, Spittle MF, Harris AL, Spiessi G, Blatter J: Phase II study of gemcitabine in patients with advanced pancreatic cancer. Br J Cancer. 1996, 73: 101-105.PubMed CentralView ArticlePubMedGoogle Scholar
- Burris HA, Moore MJ, Andersen J, Green MR, Rothenberg ML, Modiano MR, Cripps MC, Portenoy RK, Storniolo AM, Tarassoff P, Nelson R, Dorr FA, Stephens CD, Von Hoff DD: Improvements in survival and clinical benefit with gemcitabine as first-line therapy for patients with advanced pancreas cancer: a randomized trial. J Clin Oncol. 1997, 15: 2403-2413.PubMedGoogle Scholar
- Lawrence TS, Chang EY, Hahn TM, Hertel LW, Shewach DS: Radiosensitization of pancreatic cancer cells by 2',2'-difluoro-2'-deoxycytidine. Int J Radiat Oncol Biol Phys. 1996, 34: 867-872.View ArticlePubMedGoogle Scholar
- Bepler G, Sommers KE, Cantor A, Li X, Sharma A, Williams C, Chiappori A, Haura E, Antonia S, Tanvetyanon T, Simon G, Obasaju C, Robinson LA: Clinical efficacy and predictive molecular markers of neoadjuvant gemcitabine and pemetrexed in resectable non-small cell lung cancer. J Thorac Oncol. 2008, 3: 1112-1118. 10.1097/JTO.0b013e3181874936.PubMed CentralView ArticlePubMedGoogle Scholar
- Richardson DL, Backes FJ, Seamon LG, Zanagnolo V, O'Malley DM, Cohn DE, Fowler JM, Copeland LJ: Combination gemcitabine, platinum, and bevacizumab for the treatment of recurrent ovarian cancer. Gynecol Oncol. 2008, 11: 461-466. 10.1016/j.ygyno.2008.08.011.View ArticleGoogle Scholar
- Moulder S, Valkov N, Neuger A, Choi J, Lee JH, Minton S, Munster P, Gump J, Lacevic M, Lush R, Sullivan D: Phase 2 study of gemcitabine and irinotecan in metastatic breast cancer with correlatives to determine topoisomerase I localization as a predictor of response. Cancer. 2008, 113: 2646-2654. 10.1002/cncr.23916.View ArticlePubMedGoogle Scholar
- Vulfovich M, Rocha-Lima C: Novel advances in pancreatic cancer treatment. Expert Rev Anticancer Ther. 2008, 8: 993-1002. 10.1586/14737188.8.131.523.View ArticlePubMedGoogle Scholar
- Nencioni A, Sandy P, Dillon C, Kissler S, Blume-Jensen P, Van Parijs L: RNA interference for the identification of disease-associated genes. Curr Opin Mol Ther. 2004, 6: 136-140.PubMedGoogle Scholar
- Aza-Blanc P, Cooper CL, Wagner K, Batalov S, Deveraux QL, Cooke MP: Identification of modulators of TRAIL-induced apoptosis via RNAi-based phenotypic screening. Mol Cell. 2003, 12: 627-637. 10.1016/S1097-2765(03)00348-4.View ArticlePubMedGoogle Scholar
- Azorsa DOMS, Caplen NJ: Gene silencing through RNA interference: Potential for therapeutics and functional genomics. Letters in Peptide Research. 2004, 10: 361-372. 10.1007/BF02484571.View ArticleGoogle Scholar
- Bartz SR, Zhang Z, Burchard J, Imakura M, Martin M, Palmieri A, Needham R, Guo J, Gordon M, Chung N, Warrener P, Jackson AL, Carleton M, Locco L, Santini F, Smith T, Kunapuli P, Ferrer M, Strulovici B, Friend SH, Linsley PS: Small interfering RNA screens reveal enhanced cisplatin cytotoxicity in tumor cells having both BRCA network and TP53 disruptions. Mol Cell Biol. 2006, 26: 9377-9386. 10.1128/MCB.01229-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Lu J, Ruhf ML, Perrimon N, Leder P: A genome-wide RNA interference screen identifies putative chromatin regulators essential for E2F repression. Proc Natl Acad Sci USA. 2007, 104: 9381-9386. 10.1073/pnas.0610279104.PubMed CentralView ArticlePubMedGoogle Scholar
- MacKeigan JP, Murphy LO, Blenis J: Sensitized RNAi screen of human kinases and phosphatases identifies new regulators of apoptosis and chemoresistance. Nat Cell Biol. 2005, 7: 591-600. 10.1038/ncb1258.View ArticlePubMedGoogle Scholar
- Root DE, Hacohen N, Hahn WC, Lander ES, Sabatini DM: Genome-scale loss-of-function screening with a lentiviral RNAi library. Nat Methods. 2006, 3: 715-719. 10.1038/nmeth924.View ArticlePubMedGoogle Scholar
- Sepp KJ, Hong P, Lizarraga SB, Liu JS, Mejia LA, Walsh CA, Perrimon N: Identification of neural outgrowth genes using genome-wide RNAi. PLoS Genet. 2008, 4: e1000111-10.1371/journal.pgen.1000111.PubMed CentralView ArticlePubMedGoogle Scholar
- Whitehurst AW, Bodemann BO, Cardenas J, Ferguson D, Girard L, Peyton M, Minna JD, Michnoff C, Hao W, Roth MG, Xie XJ, White MA: Synthetic lethal screen identification of chemosensitizer loci in cancer cells. Nature. 2007, 446: 815-819. 10.1038/nature05697.View ArticlePubMedGoogle Scholar
- Yunis AA, Arimura GK, Russin DJ: Human pancreatic carcinoma (MIA PaCa-2) in continuous culture: sensitivity to asparaginase. Int J Cancer. 1977, 19: 128-135. 10.1002/ijc.2910190118.View ArticlePubMedGoogle Scholar
- Arora S, Wang Y, Jia Z, Vardar-Sengul S, Munawar A, Doctor KS, Birrer M, McClelland M, Adamson E, Mercola D: Egr1 regulates the coordinated expression of numerous EGF receptor target genes as identified by ChIP-on-chip. Genome Biol. 2008, 9: R166-10.1186/gb-2008-9-11-r166.PubMed CentralView ArticlePubMedGoogle Scholar
- Azorsa DO, Cunliffe HE, Meltzer PS: Association of steroid receptor coactivator AIB1 with estrogen receptor-alpha in breast cancer cells. Breast Cancer Res Treat. 2001, 70: 89-101. 10.1023/A:1012972808558.View ArticlePubMedGoogle Scholar
- Solly K, Wang X, Xu X, Strulovici B, Zheng W: Application of real-time cell electronic sensing (RT-CES) technology to cell-based assays. Assay Drug Dev Technol. 2004, 2: 363-372. 10.1089/adt.2004.2.363.View ArticlePubMedGoogle Scholar
- Rodriguez-Mora OG, Lahair MM, Evans MJ, Kovacs CJ, Allison RR, Sibata CH, White KS, McCubrey JA, Franklin RA: Inhibition of the CaM-kinases augments cell death in response to oxygen radicals and oxygen radical inducing cancer therapies in MCF-7 human breast cancer cells. Cancer Biol Ther. 2006, 5: 1022-1030.View ArticlePubMedGoogle Scholar
- Ewart-Toland A, Briassouli P, de Koning JP, Mao JH, Yuan J, Chan F, MacCarthy-Morrogh L, Ponder BA, Nagase H, Burn J, Ball S, Almeida M, Linardopoulos S, Balmain A: Identification of Stk6/STK15 as a candidate low-penetrance tumor-susceptibility gene in mouse and human. Nat Genet. 2003, 34: 403-412. 10.1038/ng1220.View ArticlePubMedGoogle Scholar
- Hafner C, Schmitz G, Meyer S, Bataille F, Hau P, Langmann T, Dietmaier W, Landthaler M, Vogt T: Differential gene expression of Eph receptors and ephrins in benign human tissues and cancers. Clin Chem. 2004, 50: 490-499. 10.1373/clinchem.2003.026849.View ArticlePubMedGoogle Scholar
- McAllister RA, Fixter LM, Campbell EH: The effect of tumour growth on liver pantothenate, CoA, and fatty acid synthetase activity in the mouse. Br J Cancer. 1988, 57: 83-86.PubMed CentralView ArticlePubMedGoogle Scholar
- Spano JP, Chodkiewicz C, Maurel J, Wong R, Wasan H, Barone C, Letourneau R, Bajetta E, Pithavala Y, Bycott P, Trask P, Laiu K, Ricart AD, Kim S, Rixe O: Efficacy of gemcitabine plus axitinib compared with gemcitabine alone in patients with advanced pancreatic cancer: an open-label randomised phase II study. Lancet. 2008, 371: 2101-2108. 10.1016/S0140-6736(08)60661-3.View ArticlePubMedGoogle Scholar
- Reni M, Cordio S, Milandri C, Passoni P, Bonetto E, Oliani C, Luppi G, Nicoletti R, Galli L, Bordonaro R, Passardi A, Zerbi A, Balzano G, Aldrighetti L, Staudacher C, Villa E, Di Carlo V: Gemcitabine versus cisplatin, epirubicin, fluorouracil, and gemcitabine in advanced pancreatic cancer: a randomised controlled multicentre phase III trial. Lancet Oncol. 2005, 6: 369-376. 10.1016/S1470-2045(05)70175-3.View ArticlePubMedGoogle Scholar
- Burris H, Rocha-Lima C: New therapeutic directions for advanced pancreatic cancer: targeting the epidermal growth factor and vascular endothelial growth factor pathways. Oncologist. 2008, 13: 289-298. 10.1634/theoncologist.2007-0134.View ArticlePubMedGoogle Scholar
- Warner SL, Munoz RM, Stafford P, Koller E, Hurley LH, Von Hoff DD, Han H: Comparing Aurora A and Aurora B as molecular targets for growth inhibition of pancreatic cancer cells. Mol Cancer Ther. 2006, 5: 2450-2458. 10.1158/1535-7163.MCT-06-0202.View ArticlePubMedGoogle Scholar
- Hata T, Furukawa T, Sunamura M, Egawa S, Motoi F, Ohmura N, Marumoto T, Saya H, Horii A: RNA interference targeting aurora kinase a suppresses tumor growth and enhances the taxane chemosensitivity in human pancreatic cancer cells. Cancer Res. 2005, 65: 2899-2905. 10.1158/0008-5472.CAN-04-3981.View ArticlePubMedGoogle Scholar
- Okazaki T, Jiao L, Chang P, Evans DB, Abbruzzese JL, Li D: Single-nucleotide polymorphisms of DNA damage response genes are associated with overall survival in patients with pancreatic cancer. Clin Cancer Res. 2008, 14: 2042-2048. 10.1158/1078-0432.CCR-07-1520.PubMed CentralView ArticlePubMedGoogle Scholar
- Franklin RA, Rodriguez-Mora OG, Lahair MM, McCubrey JA: Activation of the calcium/calmodulin-dependent protein kinases as a consequence of oxidative stress. Antioxid Redox Signal. 2006, 8: 1807-1817. 10.1089/ars.2006.8.1807.View ArticlePubMedGoogle Scholar
- Abraham RT: Cell cycle checkpoint signaling through the ATM and ATR kinases. Genes Dev. 2001, 15: 2177-2196. 10.1101/gad.914401.View ArticlePubMedGoogle Scholar
- Wang Y, Decker SJ, Sebolt-Leopold J: Knockdown of Chk1, Wee1 and Myt1 by RNA interference abrogates G2 checkpoint and induces apoptosis. Cancer Biol Ther. 2004, 3: 305-313.View ArticlePubMedGoogle Scholar
- Tang J, Erikson RL, Liu X: Checkpoint kinase 1 (Chk1) is required for mitotic progression through negative regulation of polo-like kinase 1 (Plk1). Proc Natl Acad Sci USA. 2006, 103: 11964-11969. 10.1073/pnas.0604987103.PubMed CentralView ArticlePubMedGoogle Scholar
- Sanchez Y, Wong C, Thoma RS, Richman R, Wu Z, Piwnica-Worms H, Elledge SJ: Conservation of the Chk1 checkpoint pathway in mammals: linkage of DNA damage to Cdk regulation through Cdc25. Science. 1997, 277: 1497-1501. 10.1126/science.277.5331.1497.View ArticlePubMedGoogle Scholar
- Liu Q, Guntuku S, Cui XS, Matsuoka S, Cortez D, Tamai K, Luo G, Carattini-Rivera S, DeMayo F, Bradley A, Donehower LA, Elledge SJ: Chk1 is an essential kinase that is regulated by Atr and required for the G(2)/M DNA damage checkpoint. Genes Dev. 2000, 14: 1448-1459. 10.1101/gad.840500.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhao H, Watkins JL, Piwnica-Worms H: Disruption of the checkpoint kinase 1/cell division cycle 25A pathway abrogates ionizing radiation-induced S and G2 checkpoints. Proc Natl Acad Sci USA. 2002, 99: 14795-14800. 10.1073/pnas.182557299.PubMed CentralView ArticlePubMedGoogle Scholar
- Morgan MA, Parsels LA, Parsels JD, Mesiwala AK, Maybaum J, Lawrence TS: Role of checkpoint kinase 1 in preventing premature mitosis in response to gemcitabine. Cancer Res. 2005, 65: 6835-6842. 10.1158/0008-5472.CAN-04-2246.View ArticlePubMedGoogle Scholar
- Karnitz LM, Flatten KS, Wagner JM, Loegering D, Hackbarth JS, Arlander SJ, Vroman BT, Thomas MB, Baek YU, Hopkins KM, Lieberman HB, CHen J, Cliby WA, Kaufmann SH: Gemcitabine-induced activation of checkpoint signaling pathways that affect tumor cell survival. Mol Pharmacol. 2005, 68: 1636-1644.PubMedGoogle Scholar
- O'Connor MJ, Martin NM, Smith GC: Targeted cancer therapies based on the inhibition of DNA strand break repair. Oncogene. 2007, 26: 7816-7824. 10.1038/sj.onc.1210879.View ArticlePubMedGoogle Scholar
- Shao RG, Cao CX, Shimizu T, O'Connor PM, Kohn KW, Pommier Y: Abrogation of an S-phase checkpoint and potentiation of camptothecin cytotoxicity by 7-hydroxystaurosporine (UCN-01) in human cancer cell lines, possibly influenced by p53 function. Cancer Res. 1997, 57: 4029-4035.PubMedGoogle Scholar
- Parsels LA, Morgan MA, Tanska DM, Parsels JD, Palmer BD, Booth RJ, Denny WA, Canman CE, Kraker AJ, Lawrence TS, Maybaum J: Gemcitabine sensitization by checkpoint kinase 1 inhibition correlates with inhibition of a Rad51 DNA damage response in pancreatic cancer cells. Mol Cancer Ther. 2009, 8: 45-54. 10.1158/1535-7163.MCT-08-0662.PubMed CentralView ArticlePubMedGoogle Scholar
- Giroux V, Iovanna J, Dagorn JC: Probing the human kinome for kinases involved in pancreatic cancer cell survival and gemcitabine resistance. Faseb J. 2006, 20: 1982-1991. 10.1096/fj.06-6239com.View ArticlePubMedGoogle Scholar
- Garber K: New checkpoint blockers begin human trials. J Natl Cancer Inst. 2005, 97: 1026-1028.View ArticlePubMedGoogle Scholar
- Sha SK, Sato T, Kobayashi H, Ishigaki M, Yamamoto S, Sato H, Takada A, Nakajyo S, Mochizuki Y, Friedman JM, Cheng FC, Okura T, Kimura R, Kufe DW, Vonhoff DD, Kawabe T: Cell cycle phenotype-based optimization of G2-abrogating peptides yields CBP501 with a unique mechanism of action at the G2 checkpoint. Mol Cancer Ther. 2007, 6: 147-153. 10.1158/1535-7163.MCT-06-0371.View ArticlePubMedGoogle Scholar
- Matthews DJ, Yakes FM, Chen J, Tadano M, Bornheim L, Clary DO, Tai A, Wagner JM, Miller N, Kim YD, Robertson S, Murry L, Karnitz LM: Pharmacological abrogation of S-phase checkpoint enhances the anti-tumor activity of gemcitabine in vivo. Cell Cycle. 2007, 6: 104-110.View ArticlePubMedGoogle Scholar
- Zabludoff SD, Deng C, Grondine MR, Sheehy AM, Ashwell S, Caleb BL, Green S, Haye HR, Horn CL, Janetka JW, Liu D, Mouchet E, Ready S, ROsenthal JL, Queva C, Schwartz GK, Taylor KJ, Tse AN, Walker GE, White AM: AZD7762, a novel checkpoint kinase inhibitor, drives checkpoint abrogation and potentiates DNA-targeted therapies. Mol Cancer Ther. 2008, 7: 2955-2966. 10.1158/1535-7163.MCT-08-0492.View ArticlePubMedGoogle Scholar
- Hasvold LA, Wang L, Przytulinska M, Xiao Z, Chen Z, Gu WZ, Merta PJ, Xue J, Kovar P, Zhang H, Park C, Sowin TJ, ROsenberg SH, Lin NH: Investigation of novel 7,8-disubstituted-5,10-dihydro-dibenzo[b,e][1,4]diazepin-11-ones as potent Chk1 inhibitors. Bioorg Med Chem Lett. 2008, 18: 2311-2315. 10.1016/j.bmcl.2008.02.080.View ArticlePubMedGoogle Scholar
- Tse AN, Carvajal R, Schwartz GK: Targeting checkpoint kinase 1 in cancer therapeutics. Clin Cancer Res. 2007, 13: 1955-1960. 10.1158/1078-0432.CCR-06-2793.View ArticlePubMedGoogle Scholar
- Solit DB, Ivy SP, Kopil C, Sikorski R, Morris MJ, Slovin SF, Kelly WK, DeLaCruz A, Curley T, Heller G, Larson S, Schwartz L, Egorin MJ, Rosen N, Scher HI: Phase I trial of 17-allylamino-17-demethoxygeldanamycin in patients with advanced cancer. Clin Cancer Res. 2007, 13: 1775-1782. 10.1158/1078-0432.CCR-06-1863.PubMed CentralView ArticlePubMedGoogle Scholar
- Bagatell R, Gore L, Egorin MJ, Ho R, Heller G, Boucher N, Zuhowski EG, Whitlock JA, Hunger SP, Narendran A, Katzenstein HM, Arceci RJ, Boklan J, Herzog CE, Whitesell L, Ivy SP, Trippett TM: Phase I pharmacokinetic and pharmacodynamic study of 17-N-allylamino-17-demethoxygeldanamycin in pediatric patients with recurrent or refractory solid tumors: a pediatric oncology experimental therapeutics investigators consortium study. Clin Cancer Res. 2007, 13: 1783-1788. 10.1158/1078-0432.CCR-06-1892.View ArticlePubMedGoogle Scholar
- Blasina A, Hallin J, Chen E, Arango ME, Kraynov E, Register J, Grant S, Ninkovic S, Chen P, Nichols T, O'Connor P, Anderes K: Breaching the DNA damage checkpoint via PF-00477736, a novel small-molecule inhibitor of checkpoint kinase 1. Mol Cancer Ther. 2008, 7: 2394-2404. 10.1158/1535-7163.MCT-07-2391.View ArticlePubMedGoogle Scholar
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