Literature DB >> 31516745

Identification of anticancer drugs to radiosensitise BRAF-wild-type and mutant colorectal cancer.

Rebecca Carter1,2, Azadeh Cheraghchi-Bashi2, Adam Westhorpe1,2, Sheng Yu3, Yasmin Shanneik2, Elena Seraia4, Djamila Ouaret5, Yasuhiro Inoue6, Catherine Koch7, Jenny Wilding5, Daniel Ebner8, Anderson J Ryan9, Francesca M Buffa9, Ricky A Sharma1,2.   

Abstract

OBJECTIVE: Patients with BRAF-mutant colorectal cancer (CRC) have a poor prognosis. Molecular status is not currently used to select which drug to use in combination with radiotherapy. Our aim was to identify drugs that radiosensitise CRC cells with known BRAF status.
METHODS: We screened 298 oncological drugs with and without ionising radiation in colorectal cancer cells isogenic for BRAF. Hits from rank product analysis were validated in a 16-cell line panel of human CRC cell lines, using clonogenic survival assays and xenograft models in vivo.
RESULTS: Most consistently identified hits were drugs targeting cell growth/proliferation or DNA damage repair. The most effective class of drugs that radiosensitised wild-type and mutant cell lines was PARP inhibitors. In clonogenic survival assays, talazoparib produced a radiation enhancement ratio of 1.9 in DLD1 (BRAF-wildtype) cells and 1.8 in RKO (BRAF V600E) cells. In DLD1 xenografts, talazoparib significantly increased the inhibitory effect of radiation on tumour growth (P ≤ 0.01).
CONCLUSIONS: Our method for screening large drug libraries for radiosensitisation has identified PARP inhibitors as promising radiosensitisers of colorectal cancer cells with wild-type and mutant BRAF backgrounds.

Entities:  

Keywords:  PARP inhibitor; Radiosensitizer; colorectal cancer; radiotherapy

Year:  2019        PMID: 31516745      PMCID: PMC6713640          DOI: 10.20892/j.issn.2095-3941.2018.0284

Source DB:  PubMed          Journal:  Cancer Biol Med        ISSN: 2095-3941            Impact factor:   4.248


Introduction

Colorectal cancer (CRC) is one of the most common forms of cancer, accounting for approximately 1 in 10 new cancer diagnoses worldwide in 2012[1]. Radiotherapy is commonly used to treat rectal cancers prior to surgery or to treat inoperable colorectal metastases, in the form of stereotactic body radiotherapy or selective internal radiotherapy[2-4]. International standard combination therapy for rectal cancer, radiotherapy delivered with 5-fluorouracil (5FU) as a radiosensitiser, is given either as an infusion or as an oral prodrug (capecitabine). There is currently no molecular basis for the selection of patients for radiotherapy, nor for the selection of any alternative drug to use as a radiosensitiser. With the current standard, sufficient downsizing by chemoradiotherapy is obtained by approximately half of patients treated[5]. There is scope for improving the radiotherapy approaches currently offered to patients. Clinical trials have added additional drugs to 5FU as a combination radiosensitising approach[6,7] without molecular selection, but these trials have not changed the international standard. Colorectal tumours have a heterogeneous molecular background[8]. Commonly occurring CRC mutations that may be prognostic or can affect treatment decisions include KRAS, BRAF and PIK3CA mutations, which are found in 42%, 9% and 13% of CRC patients respectively[9]. KRAS, BRAF and PIK3CA are vital components of two main cellular signalling pathways; RAS/MEK/ERK and PI3K/AKT/mTOR; strongly inter-connected pathways that play central roles in tumorigenesis by regulating cell survival, proliferation, metabolism, and motility. The KRAS gene is a member of the oncogenic RAS gene family and binds to effector kinases including BRAF and phosphatidylinositol 3-kinase (PI3K). The PIK3CA gene encodes the PI3K p110α subunit, which interacts with RAS proteins[10]. The commonest BRAF mutation in colorectal cancer, the V600E substitution, results in elevated kinase activity and constitutive downstream MEK and ERK phosphorylation[11,12]. The presence of BRAF V600E in advanced CRC correlates with poor prognosis with markedly worse progression after chemotherapy[13-15]. BRAF mutation is predictive of poor response to cetuximab in metastatic CRC, also observed for KRAS and PIK3CA mutations[16-18]. Although patients with BRAF-mutant cancers do less well with chemotherapy, anti-EGFR therapies and surgery[19], there is currently no suggestion that they benefit less from radiotherapy. Although BRAF mutation is relatively rare in rectal cancer, radiotherapy can also be used to treat inoperable liver metastases from CRC. It has been suggested that CRC liver metastases respond less well to radiotherapy than liver metastases from other primary malignancies[20], hence the addition of a radiosensitising drug may be of value to improve the therapeutic index during radiotherapy[21]. Our aim was to develop a radiosensitiser drug discovery assay enabling identification of drugs that will enhance radiotherapy more effectively than the current standard, 5FU, and demonstrate activity in defined molecular backgrounds. Firstly, we developed a high throughput screen (HTS), in CRC cell lines, to identify drugs that could be effective radiosensitisers in the context of BRAF V600E activating mutations. The drugs identified during the screen were validated across an extensive panel of human CRC cell lines, selected to represent aspects of the molecular landscape of CRC; including BRAF V600E in both MSI and MSS backgrounds, and a spectrum of KRAS, PIK3CA and p53 mutations. Such cell line panels recapitulate the different subtypes found in CRC, are representative of genetic alterations found in primary cancers and are good predictors of clinical efficacy during drug development programmes[22]. Here, we use this model to test new drug-radiotherapy combinations for the first time, identifying PARP inhibitors as the most strongly radiosensitising class of agent before validating by clonogenic survival assays and in vivo xenograft studies.

Materials and methods

Cell lines, drug library and irradiations

The parental CRC cell lines RKO (BRAF V600E/V600E/WT) and VACO432 (V600E/WT) and their isogenic pairs RKO-T29 (BRAF WT/-/-) and VACO432-VT1 (BRAF WT/-) were a gift from Sandra Van Schaeybroeck, Queens University, Belfast, UK (mutation status confirmed by sequencing). The panel of colorectal cancer cell lines utilised for cell proliferation assays was obtained from Prof. Walter Bodmer, University of Oxford, UK. The cell line panel is listed in , and has been previously described[22]. Non-malignant cell lines were obtained from Prof. Gillies McKenna, University of Oxford, UK. All cell lines were used within 12 passages, or where necessary, replenished using frozen aliquots of the initial passage. Isogenic cell lines were grown in McCoy's 5A (Modified) Medium, and other cell lines in DMEM; both supplemented with 10% Fetal Bovine Serum and 1 × penicillin/streptomycin (Thermofisher Scientific Inc., MA, USA), in a 37°C, 5% CO2, humidified incubator. The small compound anti-cancer drug library was provided in 384-well plate format (Target Discovery Institute, University of Oxford), and contained 222 drugs from the TDI Extended Oncology Drugs Library (ODL) and 76 from the NCI Developmental Therapeutics Program (DTP) Approved Oncology Drug set (). A GSR D1 irradiator (Gamma-Service Medical GmbH, Leipzig, Germany) a Cs-137 source, (dose rate 1.5 Gy/min) was used for cell irradiations. For xenografts, a RS320 X-ray irradiator (Gulmay Limited, Byfleet, UK) was used (1.6 Gy/min), with lead shielding to localise dose to tumor. Dosimetry was calculated from optical density of scanned Gafchromic EBT3 film (Ashland, NJ, USA), corrected and calibrated to the National Physical Laboratory (Teddington, UK) primary standard.

High-throughput drug screen with ionising radiation

Methodology and data analysis followed internationally recognised high-throughput screening guidelines[23]. BRAF V600E isogenic RKO and VACO432 cells were seeded in 52 μL/well by Flexdrop (PerkinElmer, MA, USA). Seeding density in 384-well plates was 300 cells/well (RKO) and 1,000 cells/well (VACO432). Eighteen hours after seeding, cells were screened with 298 oncological drugs, in 5-fold dilutions from 10 μM–16 nM. Janus workstations (PerkinElmer, MA, USA) were used to transfer 13 μL of compound from library plate to cell culture plates. Positive controls were PI103 and vorinostat, negative controls were vehicle (DMSO) alone. After 6 h, plates were either mock-irradiated, or irradiated with 4 Gy. Media was replaced 24 h following treatment, and surviving cells allowed to proliferate for five doubling times as optimised in preliminary screens. Cell viability was measured by resazurin (10 μg/mL) in phenol red-free DMEM. Metabolically viable cells reduce resazurin to fluorescent resorufin, which was quantified by PerkinElmer Envision microplate reader (540 nm excitation/590 nm emission). Control wells reached 90%–100% confluency at the time of assay performance, control irradiated wells were around 60% confluent. Raw data were normalized by rescaling to plate mean intensity and to negative controls. Quality plots were contrasted to assess artifacts and reproducibility. Normalized data Z are presented, as the applied rescaling by plate mean is effectively a z-score standardization. Selection of candidate hits was based on rank product analysis, adapting a published method[24]. Specifically, for each pair of conditions (i.e. with/without irradiation), the differences between normalised screen intensities were calculated for each well, hence each drug. These differences are presented as Delta-Z (ΔZ) scores. Rank product applied to these differences identified compounds producing large and consistent changes. Probability of false discovery was computed by permutation, with n = 100. Analyses were implemented in R version 2.1 (https://cran.r-project.org/); heatmaps were generated by modifying D3.js libraries (https://d3js.org/).

Cell proliferation and colony formation assays

Our method for comparison of IC50 in the presence or absence of radiation has been described previously[25]. Clonogenic survival was measured following a standard method, with plating efficiency and surviving fractions calculated as described[26]. Briefly, cells were seeded into 10 cm culture dishes, normally 500 cells/plate (for 0 Gy plates), increasing by 10-fold for each 4 Gy administered, to 500,000 cells/plate (12 Gy). After attachment (overnight), cells were drug-treated, and six hours later exposed to 0, 4, 8 or 12 Gy radiation. Culture medium was replaced 24 hours post-irradiation, plates were incubated to form visible colonies > 50 cells (10 – 15 days) and fixed with 0.4% methylene blue in methanol. Survival curves were fitted using Graphpad Prism v7.0A. Radiation enhancement ratio (RER) was obtained from the ratio of radiation dose at 1% survival of vehicle compared with drug treated cells.

Xenograft studies

Animal experiments were performed following local ethical review under licence from the UK Home Office (ASPA 1986, revised January 2013). Female Balb/c nude mice (6–8 weeks old) were anaesthetised with 2% isoflurane and subcutaneously injected with 50% matrigel containing 5x106 DLD1 cells or 5 × 106 RKO/mouse (n = 24) into the back. When tumor volume reached 100 mm3, mice were randomly placed into 4 groups (n = 6/group). Oral treatments were by gavage, in two doses on the first and fourth days of treatment. Group (1) received vehicle only, 10% dimethylacetamide/6% solutol HS/PBS (0.1mL/10 g body weight). Group (2) received talazoparib; 0.1 mg/kg in vehicle. Radiation treatments comprised 2 × 5 Gy, localised to the tumor, also on the first and fourth days of treatment. Group (3) received radiation only, 5 Gy one hour after each vehicle treatment. Group (4) received combination treatment, 5 Gy one hour after each talazoparib treatment. Tumor size was measured by caliper 3 × per week. Mice were sacrificed when tumours reached 400 mm3 or 42 days following the first treatment. Tumours were formalin fixed and stained for the hypoxia marker CA9 as previously described[27].

Results

Development of a high throughput screen with ionising radiation

In order to identify drugs that radiosensitise CRC cells mutated for BRAF V600E, isogenic cell lines containing either BRAF V600E or BRAF WT variants were screened against a 298-compound library of approved anticancer drugs. Mutation status for KRAS, PIK3CA and p53 for these cell lines is shown in , with the screen protocol outlined in . High-throughput screening of FDA approved cancer drugs to identify which drugs should be used for radiosensitisation in the context of single gene mutations in colorectal cancer. A prerequisite for high-throughput detection of radiosensitisers is an assay that is predictive of the effects of drug/ radiation combinations on clonogenic cell survival. Extended incubation following irradiation improves correlation with radiosensitisation[28], and we incorporated 5 days incubation following radiation treatment; improving correlation to clonogenic survival, but avoiding compromises to cell metabolism and thus assay performance[29]. Serial dilution of cells in the presence of resazurin showed equivalent fluorescence, linear in relation to cell number, for both non-irradiated cells, and cells 5 days post-irradiation (data not shown). This indicates that the metabolic assay was a good surrogate for cell number at this timepoint. Screens were carried out in duplicate and quality plots demonstrated good reproducibility (), with mean Pearson correlation between pairs of replicates of 0.88 and average Z factor of 0.58 for irradiated and 0.53 for non-irradiated plates. Cell viability was compared between normalized irradiated and non-irradiated plates, generating heatmaps of the difference, ΔZ, for each compound. Hit selection () was based on rank product analysis, with the probability of false discovery computed by permutations (see Materials and methods). Potential hits were drugs that sensitised the BRAF-mutant isogenic variant, at one or more concentrations, with probability of false positive (PFP) ≤ 0.05. Some plates showed a pronounced ‘edge effect’, and for this reason, analysis was repeated considering the edge wells as a separate population (). Hits with significant ΔZ score between irradiated and non-irradiated samples, with radiosensitisation factor < 1 (normalised against control plates) and P-value ≤ 0.05 were selected as significant. Positive controls were consistently identified as hits, with ΔZ scores ≤ 2, comparable to results obtained in manual assays. BRAF V600E screen in isogenic cell lines following irradiation Drugs were ranked according to radiosensitisation against BRAF-mutated cells. The fifteen drugs with the highest significance against BRAF-mutated cells are shown in . Seven hits have previously been identified as radiosensitisers in the published literature[30-36], helping to validate our methodology. Five hits were inhibitors of RAS/RAF/MEK/ERK pathway (trametinib, TAK-733, pimasertib, doramapoimod and dactolisib), predominantly acting in BRAF WT and V600E. Eight drugs reached significance in the BRAF-mutant cell line but not in BRAF WT, including the CHK1 inhibitor, PF477736. Another CHK1 inhibitor, AZD7762, radiosensitised both BRAF variants. Fifteen radiosensitisers identified for BRAF-mutant cells The poly(ADP-ribose) polymerase (PARP) inhibitor, olaparib, significantly increased sensitivity to irradiation in BRAF V600E RKO cells. In a separate screen of BRAF isogenic Vaco432 cells, olaparib also radiosensitised BRAF V600E Vaco432 cells at 16 nM and 80 nM (P ≤ 0.05, data not shown). Based on these data, radiosensitisation by PARP inhibitors (PARPi) in RKO isogenic for V600E and WT, was validated by long-term proliferation assay at a broad concentration range and by clonogenic cell survival assay (). Olaparib as a single agent had little effect on survival, but combination treatment caused a significant increase in radiation sensitivity, albeit with similar effect in both BRAF WT and V600E variants. Validation of radiosensitisation effects of olaparib in BRAF-mutant and BRAF-WT isogenic CRC cells.

Radiosensitisation in an extended CRC cell line panel

To validate the screen, we used a cell line panel inclusive of the different molecular subtypes of CRC. We specifically prioritised the drug hits with the most immediate scope for translation to clinical trials in combination with radiotherapy. The cell line panel was selected so that several cell lines exhibited each gene mutation of interest. Fifteen cell lines with defined BRAF, p53, KRAS, PIK3CA and mismatch repair status were used. The compounds chosen for further testing are shown in , along with p-values indicating whether significant IC50 shift was observed following normalisation for radiation effect. The complete IC50 results determined by these assays are shown in . P- values for radiosensitisation by 11 drugs across a panel of 15 CRC cell lines From these assays, olaparib and rucaparib displayed potent radiosensitising ability across multiple cell lines. IC50 curves (normalised for radiation effect) were significantly different (P ≤ 0.01) for all except three cell lines; namely, C10, CW2 and Colo678 (). Both Chk1 inhibitors, and trametinib, were also effective radiosensitisers in the majority of cell lines tested. Vemurafenib was ineffective in BRAF WT (IC50 frequently not reached), but showed some efficacy in BRAF mutated cell lines, (not significant for radiosensitisation). This limited effect may arise from feedback activation of EGFR, PI3K or alternative signaling pathways, reducing vemurafenib efficacy in CRC when compared to melanoma[37].

Validation of radiosensitisation by PARP inhibitors with clonogenic survival assays

As PARPi were the most effective radiosensitisers of the CRC cell line panel, clonogenic survival assays were used to measure radiation enhancement ratios (RERs) in 3 cell lines that were strongly radiosensitised (> 10-fold IC50 shift) and 3 cell lines with IC50 shift < 10-fold. To potentially improve PARPi radiosensitisation of these resistant cell lines, a more trapping PARPi, talazoparib, was included in these assays. Survival curves ( ), and RERs () reflected the proliferation assay results: Olaparib and rucaparib significantly radiosensitised RKO, DLD1, and HT29 compared to vehicle-treated cells, while radiosensitisation of HT55, Colo678, and C10 was limited – although significant for HT55 cells treated with rucaparib. Talazoparib significantly radiosensitised all cell lines tested, and was overall the most effective radiosensitiser (average RERs 1.21–1.92), followed by rucaparib (average RERs 1.15–1.41) and finally olaparib (average RERs 1.12–1.4). Clonogenic assays to confirm radiosensitisation of multiple cell lines by PARP inhibitors. Radiation enhancement ratios of PARP inhibitors for colorectal cancer and non-malignant cell lines To indicate potential normal tissue toxicity, PARPi experiments were repeated in three non-malignant cell lines, HFLA, MRC5 and RPE. In clonogenic assays (), these non-malignant cells were significantly radiosensitised by talazoparib. Radiosensitisation by rucaparib was significant for HFLA and MRC5, and radiosensitisation by olaparib was significant only for MRC5 cells (P ≤ 0.05).

Validation of PARP inhibitors as radiosensitisers in xenograft studies

The PARP inhibitor talazoparib was the most effective radiosensitiser and had not previously been tested with radiotherapy in animal CRC models. To confirm the in vitro radiosensitisation by PARPi in an in vivo model, talazoparib was tested against two cell lines that were effectively radiosensitised by the drug in 2D assays. Mice were inoculated with subcutaneous tumors consisting of RKO or DLD1 cells, and treated with talazoparib or vehicle, either alone or one hour before each of 2 × 5 Gy radiation treatments. In DLD1 cells (), single treatment with talazoparib or radiation alone did not inhibit tumour growth. Combined talazoparib/radiation treatment was tolerated by the mice, and significantly reduced tumour growth compared with radiation alone (P ≤ 0.01). For the RKO cell xenograft model, there was no significant difference between the effect of radiation alone, and the radiation/talazoparib combination. Tumour histology, levels of perinecrotic hypoxia (CA9 staining) and necrosis were similar for both cell types (). Talazoparib significantly enhances the response of colorectal cancer cells grown in vivo to ionizing radiation.

Discussion

The aim of this study was to identify treatment options to radiosensitise colorectal cancer cells in the context of key mutations that characterise the disease. Biopsies from CRC patients are routinely screened for BRAF, KRAS and PIK3CA mutations, but this information is not currently used in treatment decisions regarding radiotherapy. There is preclinical evidence that single gene alterations in cancer can determine the extent of radiosensitisation exerted by different drugs. Examples include mammalian AMP-activated protein kinase dependence of pancreatic cancer cells to radiosensitisation by metformin[38], the role of mismatch repair deficiency in radiosensitisation of CRC cell lines by gemcitabine[39-40] and p53-dependent radiosensitisation by valproic acid[41]. Radiosensitisation drug discovery across different genetic backgrounds may enable a change from a “one size fits all” chemo- radiotherapy to the identification of the most appropriate drugs for radiotherapy based on the genetic profile of the cancer. To address our primary aim, we developed a novel high-throughput screen to test drug library/radiotherapy combination against cell lines. For drug repurposing, which allows more rapid translation in to the clinic, we used a library of drugs already in clinical use or in clinical trials. Previous investigators using more focused library screens have successfully identified radiosensitisers of CRC[42] and our study identified the same drugs with radiosensitising potential, the CHK inhibitor, AZD-7762, and the dual mTOR/PI3K inhibitor, dactosilib. We initially used isogenic cell lines to identify radiosensitisers active in a BRAF V600E background. Reassuringly, our results confirmed radiosensitisation by agents from drug classes previously shown to have radiosensitising activity in other published papers, such as inhibitors of the RAS/MEK/ERK, and PI3K/MTOR pathways. In addition, we identified compounds not previously known to be radiosensitisers (). Of the drugs targeting mutated BRAF (vemurafenib, dabrafenib, RAF265), only vemurafenib reached the threshold for hit-detection in the screen, possibly because vemurafenib is a more potent radiosensitizer, at least compared with dabrafenib[43]. Cell lines manipulated by gene mutation might not be entirely representative of the molecular landscape of cancer in patients. We therefore validated results from isogenic cell lines in a panel of human colorectal cancer cell lines, inclusive of common CRC mutations and previously shown to be a useful model for drug development[22,44]. This approach was also novel since this cell line panel has not previously been used to test new drug-radiotherapy combinations. The results (shown in ), confirmed PARPi as significant radiosensitisers, notably across a much broader range of cell lines than 5FU, the current clinical standard, suggesting that 5FU may not be the optimal treatment for all CRC patients compared to newer and more targeted drugs. This reflects data in other studies in CRC, which show that radiosensitisation by 5FU varies depending on the cell line used[45,46]. Additionally, the timing of 5FU exposure may influence the degree of radiosensitisation[47]. In future, immunotherapy is likely to be of increasing importance in CRC treatment, although at present it is only used to treat the more immunogenic MSI-high tumours[48]. Despite this, radiotherapy is likely to remain an important treatment for rectal cancer and metastatic disease, particularly when the cost effectiveness of treatment is considered. The broad range of cell lines for which PARPi appear to be suitable radiosensitisers in this study may predict its potential future utility in a wide patient population. Three PARPi, olaparib, rucaparib, and niraparib, have been approved by the US FDA for the treatment of ovarian cancer, including BRCA-deficient tumours that have deficient homologous recombination repair. PARPi function by inhibiting the binding, or enzymatic activity, of PARP to single strand breaks in DNA. The absence of SSB repair leads to double strand break (DSB) formation at the approaching replication fork, and cell death. It has been shown that PARPi have an increased radiosensitising effect on DSB- repair deficient tumour cells compared with DSB- repair proficient lines[49]. Compared to olaparib and rucaparib, we found that talazoparib treatment led to higher RERs. PARPi affect cell proliferation by two main actions: inhibiting PARP enzymatic function, and by binding (‘trapping’) PARP to DNA[50]. Olaparib and rucaparib function primarily through inhibiting enzymatic function, whereas talazoparib ‘traps’ PARP at DNA damage sites, with increased anti-proliferative effect, potentially contributing to more effective radiosensitisation[51,52]. We proceeded to show that the PARP inhibitor, talazoparib, radiosensitised DLD1 xenografts in vivo. The combined treatment caused a prolonged tumour growth delay, in excess of the effects demonstrated elsewhere for combined 5FU/radiation treatment for HCT116[45] and WiDr[53] CRC xenografts. It is unclear why talazoparib did not significantly radiosensitise BRAF mutated RKO xenografts in vivo. It has been shown that BRAF-mutant early neoplastic lesions have upregulation of gene sets involved in aberrant DNA methylation[54] and that BRAF-mutant cancers can have distinct tumour-associated-stroma and components of the extracellular matrix that are different from wild-type cancers[55]. These complexities may explain the discrepancy between the highly significant results we obtained in 2D culture and the non-significant results we obtained in vivo using the same cell line. Future studies should consider the use of other models, such as patient-derived xenografts or immunocompetent mouse models, to explore this discrepancy further. Some investigators advocate preclinical comparison of non-malignant with malignant cell lines to identify cancer-specific drugs[56,57]. In our study, olaparib did not cause significant radiosensitisation of two non-malignant cell lines, HLA and RPE. An in vivo study of intestinal crypt damage, in which fractionated radiotherapy was combined with olaparib, did not appear to cause additional gut toxicity compared to radiotherapy without drug[58]. Contrastingly, clinical studies of PARPi have documented bowel toxicities as side effects of treatment[59] and total body irradiation of a p21-reporter mouse has shown that olaparib can exacerbate DNA damage in normal tissues when combined with radiation[60]. It should be noted that, in our study, rucaparib and talazoparib caused significant radiosensitisation of 2 non-malignant cells tested by clonogenic survival assays. Although talazoparib has already completed phase I development as a single agent[61], we recommend that the normal tissue toxicity from the combination of PARPi with radiotherapy should be assessed further in preclinical normal tissue toxicity models and monitored closely in early-phase clinical trials. In conclusion, our novel approach to radiosensitisation drug discovery in cells isogenic for the BRAF V600E mutation, has led to the identification of PARPi as radiosensitisers for CRC. Validation in a broad panel of human CRC cell lines, and an in vivo xenograft model, has shown potentially broader radiosensitising activity than the current clinical standard of care, 5FU. Following toxicity evaluation of the combination of PARPi with radiotherapy in other preclinical models, we propose that PARP inhibition should be tested in combination with radiotherapy for rectal cancer or metastatic CRC treatment, with careful monitoring of potential toxicities.

Acknowledgements

This work was supported by Bowel Disease Research Foundation, Oxford Cancer Research Centre, the National Institute for Health Research University College London Hospitals Biomedical Research Centre, the Cancer Research UK University College London Experimental Cancer Medicine Centre, CRUK-UCL Centre Award (Grant No. C416/A25145), the Cancer Research UK Centers Network Accelerator Award Grant (Grant No. A21993) to the ART-NET Consortium, and the NIHR Oxford Biomedical Research Centre.

Conflict of interest statement

No potential conflicts of interest are disclosed. Details of the cell lines Anticancer drugs comprising the small compound library for the screen IC50 (μM) for each drug at 0 and 4 Gy in a panel of colorectal cancer cell lines
1

Fifteen radiosensitisers identified for BRAF-mutant cells

CompoundEffective concentration in RKO (BRAF mut) (μM) Effective concentration in RKO (BRAF WT) (μM) Mechanism of action
RKO colorectal cancer cells BRAF V600E or WT were screened with 298 approved oncology drugs alone or in combination with irradiation. Radiosensitisation factors were calculated from the ratio of fluorescence of irradiated versus non-irradiated plates. The most significant hits for BRAF-mutant variant RKO cells are shown; each hit has radiosensitisation factor < 1, PFP ≤0.05 and P-values ≤0.05; ‘ns’ indicates that significance was not reached in the BRAF WT cell line for the drug tested.
Dactolisib0.016, 0.40.016Dual PI3K/mTOR inhibitor
Panobinastat0.016nsHDAC inhibitor
Trametinib0.0160.016MEK inhibitor
ABT-1990.080.08Bcl-2 inhibitor
Olaparib0.08nsPARP inhibitor
Tosedostat0.08nsPeptidase inhibitor
AZD 77620.080.08Chk inhibitor
Pimasertib0.4, 0.080.08MEK inhibitor
PF4777360.08nsChk1 inhibitor
17-AAG0.08nsHsp90 inhibitor
Doramapimod0.08nsp38 MAPK inhibitor
Danusertib0.08nsaurora kinase inhibitor
Serdametan0.40.4MDM2 inhibitor
Tak-7330.40.4MEK inhibitor
Auranofin0.4nsGold complex
2

P- values for radiosensitisation by 11 drugs across a panel of 15 CRC cell lines

Cell lineLS411Vaco5RKOHT29OXCO4CCK81HCA7DLD1CW2C10HT55C99Colo678SW403SW1222
A panel of fifteen colorectal cell lines, selected for BRAF status in a heterogeneous mutational background, were treated with 11 drugs with or without 4 Gy radiation. Radiosensitisation shown is for the clinical radiosensitiser, 5-fluorouracil; two positive control drugs, SAHA and PI103; and compounds selected on the basis of primary screen P-values and potential clinical utility. Significance was determined by paired t-test on IC50 curve values following normalisation for radiation; ‘+’ indicates significant radiosensitisation, with the P-value indicated.
BRAFBRAF V600EBRAF V600EBRAF V600EBRAF V600EBRAFV600EBRAFWTBRAFWTBRAFWTBRAFWTBRAFWTBRAFWTBRAFWTBRAFWTBRAFWTBRAFWT
MSI statusMSIMSIMSIMSSMSSMSIMSIMSIMSIMSSMSSMSSMSSMSSMSS
KRASKRAS WTKRAS WTKRAS WTKRAS WTKRAS WTKRAS WTKRAS WTKRAS G13DKRAS P140HKRAS WTKRAS WTKRAS WTKRAS G12DKRAS G12VKRAS A146V
EGFREGFR MUTEGFR WTEGFR WTEGFR WTNot knownEGFR Y1069CEGFR WTEGFR WTEGFR G544*FSEGFR WTEGFR WTEGFR WTEGFR WTEGFR WTEGFR WT
CompoundTargetRadiosensitisation response (+ indicates significant radiosensitisation, with P value given below)
5-fluoro- uracil Thymidylate synthasensnsnsnsnsnsnsns+p≤0.01 nsnsnsnsnsns
SAHAHDACnsns+≤ 0.05ns+≤ 0.01nsnsnsnsns+≤ 0.01+≤ 0.05+≤ 0.01+≤ 0.01+≤ 0.05
PI-103PI3K/ DNAPK/ mTOR +≤ 0.05ns+≤ 0.01ns+≤ 0.01+≤ 0.05+≤ 0.01+≤ 0.01+≤ 0.01nsns+≤ 0.01+≤ 0.01+≤ 0.05+≤ 0.01
OlaparibPARP+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01nsns+≤ 0.01+≤ 0.01ns+≤ 0.01+≤ 0.01
RucaparibPARP+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.05+≤ 0.01+≤ 0.01+≤ 0.01nsns+≤ 0.05+≤ 0.05ns+≤ 0.01+≤ 0.01
AZD-7762CHK1 and 2nsns+≤ 0.05ns+≤ 0.01+≤ 0.01+≤ 0.05+≤ 0.05+≤ 0.01+≤ 0.01ns+≤ 0.01+≤ 0.01+≤ 0.05ns
PF477736CHK1 and 2+≤ 0.05+≤ 0.05+≤ 0.05+≤ 0.05+≤ 0.05+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.01+≤ 0.05nsns+≤ 0.01+≤ 0.05
AZD-6244MEK1 and 2ns+≤ 0.05+≤ 0.01ns+≤ 0.01ns+≤ 0.01ns+≤ 0.01+≤ 0.05+≤ 0.05ns+≤ 0.01+≤ 0.01+≤ 0.01
TrametinibMEK1 and 2+≤ 0.05ns+≤ 0.01nsns+≤ 0.05+≤ 0.01+≤ 0.01ns+≤ 0.05ns+≤ 0.05+≤ 0.01ns+≤ 0.01
MitoxantroneTOPO IInsnsns+≤ 0.05ns+≤ 0.05+≤ 0.05+≤ 0.01+≤ 0.01ns+≤ 0.05nsns+≤ 0.01ns
VemurafenibBRAF V600Ensnsnsnsnsnsnsnsnsnsnsnsnsnsns
3

Radiation enhancement ratios of PARP inhibitors for colorectal cancer and non-malignant cell lines

Gene mutation statusRadiation enhancement ratio (P-value)
BRAFKRASPIK3CAp53OlaparibRucaparibTalazoparib
Radiation enhancement ratios were calculated from clonogenic survival assays (normalised, by plating efficiency, for effect of drug alone) and comprise the ratio of radiation dose leading to 1% cell survival to the radiation dose producing 1% survival in the combined treatment. Significance (P ≤ 0.05), displayed by in bold, was calculated by one-way ANOVA, with multiple comparisons of each drug against the DMSO control.
CRC cell lines
RKOp.V600EWTp.H1047RWT1.48 (P ≤ 0.05)1.41 (P ≤ 0.05)1.71 (P ≤ 0.001)
HT29p.V600EWTWTR273H1.44 (P ≤ 0.01)1.28 (P ≤ 0.001)1.82 (P ≤ 0.001)
DLD1WTG13Dp.E545KS241F1.18 (P ≤ 0.01)1.21 (P ≤ 0.01)1.92 (P ≤ 0.001)
HT55WTWTWTR213L1.21 (ns)1.31 (P ≤ 0.01)1.39 (P ≤ 0.01)
C10WTWTWTG245S1.12 (ns)1.18 (ns)1.48 (P ≤ 0.001)
Colo678WTG12DWTWT1.12 (ns)1.15 (ns)1.21 (P ≤ 0.001)
Non-malignant cell lines
HFLAn/an/an/an/a1.09 (ns)1.3 (P ≤ 0.05)1.29 (ns)
MRC5n/an/an/an/a1.35 (P ≤ 0.05)1.34 (P ≤ 0.05)1.52 (P ≤ 0.01)
RPEn/an/an/an/a1.1 (ns)1.07 (ns)1.24 (P ≤ 0.01)
S1

Details of the cell lines

Cell lineBRAF KRAS PIK3CA P53 MSI/MSSCIMP
Table of cell lines comprising the panel for screen validation: Data is from Mouradov et al., Cancer Res. 2014; 74: 3238-47, except where indicated. † Indicates data from Prof. Walter Bodmer, personal communication. na. Indicates information not available
C10WTWTWTWTMSSCIMP-
C99WTWTWTWTMSSCIMP-
CCK81WTWTC420R, C472YP278HMSICIMP-
COLO678WTG12DWTWTMSSCIMP+
CW2 †WTP140HP283SWTMSIna.
DLD1WTG13DE545KS241FMSICIMP+
HCA7WTWTWTP301fs*44MSICIMP+
HT29V600EWTWTR273HMSSCIMP+
HT55V600EWTWT.R213LMSSCIMP-
LS411V600EWTWTY126*MSICIMP+
OXCO4 †V600EWTWTmutantMSSna.
RKOV600EWTH1047RWTMSICIMP+
SW1222WTA146VWTWTMSSCIMP-
SW403WTG12VQ546KE51*MSSCIMP-
VACO5 †WTWTH1047RmutantMSIna.
S2

Anticancer drugs comprising the small compound library for the screen

Table of compounds tested from the combined TDI Extended Oncology Drugs Library (ODL) and the NCI Developmental Therapeutics Program (DTP) Approved Oncology Drug Library.
(5Z)-7-OxozeaenolBleomycinFK 506_TacrolimusMitomycin CRapamycin (sirolimus)
(R)-Flurbiprofen (Tarenflurbil)BMS-754807FK-866 HCl_DaporinadMitotaneRD162
1-methyl-D-tryptophan, 95%BMS-911543FloxuridineMitoxantroneRDEA119_Refametinib
17-AAG (Tanespimycin, Geldanamycin)BortezomibFludarabineMK-0752Ridaforolimus
17-DMAG (Alvespimycin)BosutinibFluorouracilMK-2206Rofecoxib (Vioxx)
2-methoxyestradiol (Panzem)BrivanibFlutamideMK-4827, HCl saltRomidepsin
4-hydroxytamoxifenBusulfanFulvestrantMK1775Roscovitine_Selicilib
Abitrexate/MethotrexateCabazitaxelGaliellalactoneMLN4924S-trityl-L-cysteine, 40 mM
ABT-199CAL-101GDC-0068MLN8237_AlisertibSB 743921
ABT-263 (Navitoclax)CamptothecinGDC-0941_PictilisibMotesanib Di phosphate (AMG-706)Simvastatin
ABT-751CanertinibGDC-0980NelarabineSorafenib
ABT-869_LinifanibCapecitabineGefitinibNilotinibSotrastaurin
ABT-888 (Veliparib)CarboplatinGemcitabine HClNilutamideSR1 HCl
AC220_QuizartinibCarfilzomibGoserelin acetateNitrogen mustardStattic
AcrichineCarmustineGSK 269962Nutlin-3Streptozocin
AG-014699_RucaparibCelecoxibGSK 650394NVP-AUY922Sunitinib
AllopurinolCHIR-258 (Dovitinib)GSK1120212_ TrametinibNVP-BEZ235_DactolisibTAK-733
AltretamineChlorambucilGSK2126458NVP-BGJ398TAK-901
AmifostineChloroquine diphosphateGSK2636771NVP-LDE225 (Diphosphate salt)Tamoxifen citrate
AminoglutethimideCHR 2797_TosedostatHA-1077 (Fasudil)Obatoclax Mesylate (GX15-070)Tandutinib
Aminolevulinic acidCI-994_TacedinalineHomoharringtonineOlaparibTasocitinib_Tofacitinib
AmonafideCisplatin aqHydroxyureaOSI-027Temozolomide
AnagrelideCladribineI-BET151 (GSK1210151A)OSI-906_LinsitinibTeniposide
AnastrozoleClafen (Cyclophos-phamide, Endoxan)Idarubicin HClOxaliplatinTetramisole HCl
AP24534 (Ponatinib)ClofarabineIfosfamidePAC-1TGX-221
ARQ 197_TivantinibClomifene citrateImatinibPaclitaxelThalidomide
ARRY-162_MEK-162CPI-613ImiquimodPanobinostatThio-TEPA
Arsenic(III) oxide CrenolanibINCB018424 (free base, Ruxolitinib)PazopanibThioguanine
AS703026_PimasertibCrizotinibIndibulinPCI-32765_IbrutinibThiotepa
Aspirin (Acetylsalicylic Acid)CUDC-101Iniparib (BSI-201, IND-71677)PD-0332991Tipifarnib (Zarnestra)
AT 101CyclophosphamideINK128PemetrexedTopotecan HCl
AT-406CYT-387_MomelotinibIrinotecanPentostatinToremifene citrate
AT9283Cytarabine HClIxabepilonePerifosine aq/PBSTretinoin
Atorvastatin CaDabrafenib MesylateJNJ 26854165 (Serdemetan)PF 431396Triethylenemelamine
AuranofinDacarbazineJNJ_26481585_QuisinostatPF 477736Tubacin
AV-951 (Tivozanib)Dacomitinib (monohydrate) (PF-00299804)KX2-391PF-04691502Tubastatin A HCl
AVN944DactinomycinLapatinib, di-p-toluenesulfonate saltPF-04708671UCN-01
AxitinibDasatinibLasofoxifenePF-2341066 (Crizotinib)Uracil mustard
AZ 3146Daunorubicin HClLenalidomidePF-3845Valproic acid
AzacitidineDCC-2036_RebastinibLestaurtinibPF4800567 hydrochlorideValrubicin
AZD 7762 hydrochlorideDecitabineLetrozolePF670462Vandetanib
AZD1152-HQPADecitabine (Dacogen)LomeguatribPHA-739358 (Danusertib)Varespladib
AZD1480Deferoxamine mesylateLomustine, CCNUPIK-75 HClVatalanib
AZD2014Dexamethasone (Decadron)LY 333531 mesylate- RuboxistaurinPilocarpineVemurafenib
AZD4547DexrazoxoneLY2157299PipobromanVER 155008
AZD6244 (Selumetinib)Dinaciclib (SCH727965)LY2228820 (CP868569)PKC412_MidostaurinVinblastine sulfate
AZD8055DocetaxelLY2603618_RabusertibPlerixaforVincristine Sulfate (Oncovin)
BAY 73-4506_RegorafenibDoxorubicinLY2784544_GandotinibPlicamycinVinorelbine tartrate
Belinostat (PXD101)Doxorubicin HClMasitinibPLX4032_VemurafenibVismodegib
Bendamustine HClEMD1214063MDV3100_EnzaluamidePralatrexateVorinostat
BexaroteneEntinostatMegestrol acetatePravastatinVX-11e
BI 2536EnzastaurinMelphalanPrednisoloneXAV-939
BI 6727_VolasertibEpothilone B (Patupilone)MercaptopurinePrednisoneXL-147
BIBF 1120_NintedanibErlotinib HClMetformin hydrochloride aq Prima-1 MetXL184_Cabozantinib
BIBW2992 (Tovok)_AfatinibEstramustine sodium phosphateMethotrexateProcarbazineXL880 (Foretinib)
BicalutamideEtoposideMethoxsalenPX-866_SonolisibYM155
BIIB021EverolimusMethylprednisoloneQuinacrine HClZolendronic acid
BimatoprostExemestaneMGCD-265R406_TamatinibZSTK474
BIRB 796 (Doramapimod)FG-4592MGCD0103_MocetinostatRAF265
BKM-120_BuparlisibFinasterideMithramycin ARaloxifene HCl
S3

IC50 (μM) for each drug at 0 and 4 Gy in a panel of colorectal cancer cell lines

Cell line5-FU IC50Vorinostat IC50PI-103 IC50Olaparib IC50Rucaparib IC50Mitoxantrone IC50
IC50 was calculated using Graphpad Prism following normalisation for radiation effect, and is shown in μM, with 95% confidence limits in parenthesis. * Where the curve shape did not allow calculation of IC50 in Graphpad, IC50 was calculated manually by interpolation. * > indicates the highest concentration tested in cell lines where the IC 50 was not reached.
LS411 0 Gy24.67 (17.58 to 35.46) 6.79 (3.99 to 11.91) 5.23 (3.47 to 8.12) 24.46 (15.71 to 38.89) *62.1816.75 (12.32 to 22.98)
LS411 4 Gy21.95 (12.37 to 40.8) 14.55 (9.69 to 22.27) 2.76 (1.57 to 4.96) 2.11 (1.09 to 4.18) 1.72 (0.49 to 8.54) 7.8 (5.63 to 10.89)
VACO5 0 Gy2.54 (1.95 to 3.35) 3.45 (2.47 to 4.9) 1.91 (1.05 to 3.58) 10.5 (3.83 to 29.59) 34.03 (21.2 to 58.03) 3.49 (0.87 to 14.64)
VACO5 4 Gy0.99 (0.83 to 1.19) 3.37 (2.85 to 4) 0.48 (0.34 to 0.71) 0.75 (0.43 to 1.3) 3.07 (0.61 to 11.91) 1.24 (0.56 to 2.99)
RKO 0 Gy2.51 (1.93 to 3.29) 6.51 (3.89 to 11.26) 1.55 (0.95 to 2.54) 8.63 (4.32 to 17.22) 61.23 (30.07 to 167.4) 9.75 (6.21 to 15.44)
RKO 4 Gy1.15 (0.73 to 1.90) 2.14 (1.2 to 4.15) 0.33 (0.20 to 0.57) 0.35 (0.15 to 0.78) 0.3 (0.03 to 1.59) 2.9 (1.59 to 5.46)
HT29 0 Gy9.12 (6.67 to 12.66) 3.47 (2.42 to 5.03) * >2017.93 (4.14 to 75.29) 51.82 (33.61 to 86.34) 6.58 (1.24 to 78.99)
HT29 4 Gy6.6 (5.24 to 8.36) 4.18 (2.6 to 6.94) * 12.942.21 (1.25 to 3.55) 5.48 (2.49 to 11.75) 3.06 (0.88 to 12)
OXCO4 0 Gy16.71 (14.13 to 19.85) 6.09 (3.69 to 10.41) 2.42 (1.82 to 3.24) 26.88 (16.82 to 43.79) 13.11 (10.42 to 16.58) 0.89 (0.61 to 1.33)
OXCO4 4 Gy9.45 (7.92 to 11.32) 3.82 (2.69 to 5.49) 1.13 (0.87 to 1.47) 6.07 (4.73 to 7.82) 2.5 (1.74 to 3.61) 0.59 (0.44 to 0.78)
CW2 0 Gy20.19 (15.17 to 27.24) 4.49 (2.9 to 7.08) 4.97 (3.14 to 8.17) 17.05 (6.48 to 44.79) 36.91 (30.48 to 45.16) 19.81 (11.2 to 35.76)
CW2 4 Gy*20.15.33 (3.59 to 7.99) 4.21 (1.49 to 14.87) * >20* >3021.02 (12.56 to 186)
DLD1 0 Gy8.6 (6.77 to 10.99) 6.26 (3.07 to 13.72) 1.69 (0.94 to 3.08) * >100*30.414.08 (1.49 to 12.46)
DLD1 4 Gy7.78 (5.26 to 11.81) 3.25 (2.02 to 5.42) 0.52 (0.29 to 0.95) 1.74 (0.89 to 3.5) 0.44 (0.15 to 2.1) 1.9 (1.33 to 2.72)
CCK81 0 Gy29.85 (23.48 to 38) 10.4 (5.37 to 21.34) 1.27 (0.92 to 1.76) >100*48.51*16.51
CCK81 4Gy20.77 (16.64 to 26.01) 7.84 (4.13 to 15.86) 1.07 (0.81 to 1.44) 13.05 (7.62 to 22.53) 45.05 (11.83 to 105.1) 22.6 (11.62 to 60.7)
C10 0 Gy43.38 (31.27 to 60.93) 2.05 (0.82 to 6.16) 0.98 (0.45 to 2.19) * >10023.7 (20.64 to 222.2) 3.92 (1.84 to 8.96)
C10 4 Gy39.86 (17.15 to 101.3) 10.21 (1.3 to 74.5) 0.53 (0.27 to 1.17) * >10022.4 (6.87 to 130) 2.18 (1.14 to 4.29)
SW403 0 Gy1.31 (0.86 to 2.02) 17.71 (7.57 to 49.28) * >206.18 (1.46 to 26.89) 40.51 (27.91 to 61.56) 2.17 (0.94 to 5.27)
SW403 4 Gy0.73 (0.49 to 1.09) 7.28 (4.53 to 12.05) 10.81 (5.35 to 27.22) 0.85 (0.28 to 2.46) 12.39 (5.71 to 26.75) 1.46 (0.66 to 3.41)
COLO678 0 Gy85 (37.7 to 197.4) 8.68 (1.84 to 64.49) 2.3 (1.08 to 5.15) * >200* 48.675.96 (2.98 to 12.18)
COLO678 4 Gy81.5 (70.58 to 129.3) *5.52.24 (1.09 to 4.85) * >200* 45.7920.31 (12.29 to 34.44)
SW1222 0 Gy10.58 (5.80 to 20.42) 41.93 (16.03 to 134) * >2016.72 (9.97 to 28.91) 9.78 (4.56 to 22.31) 2.76 (1.63 to 4.8)
SW1222 4 Gy3.23 (2.19 to 4.75) 4.07 (2.98 to 5.63) 0.75 (0.63 to 0.90) 0.42 (0.32 to 0.56) * 0.320.73 (0.32 to 1.83)
HCA7 0 Gy27.64 (22.63 to 33.87) 1.29 (0.93 to 1.80) 2.95 (1.71 to 5.26) 3.99 (3.16 to 5.05) 48.51 (35.36 to 68.98) 1.93 (0.57 to 6.89)
HCA7 4 Gy19.82 (16.49 to 23.89) 0.82 (0.70 to 0.97) 1.14 (0.79 to 1.66) 0.24 (0.18 to 0.32) 0.36 (0.19 to 0.66) 0.75 (0.24 to 2.53)
HT55 0 Gy10.53 (7.91 to 14.17) 2.11 (1.51 to 3) 2.87 (0.95 to 9.99) 41.07(4.96 to 28.01)12.2 (8.31 to 18.19) 1.26 (0.86 to 1.85)
HT55 4 Gy12.03 (8.91 to 16.48) 3.14(1.99 to 5.10)2.58 (1.85 to 3.63) 7.88 (0.88 to 3.66) 1.47 (0.4 to 5.18) 1.27 (0.79 to 2.08)
C99 0 Gy3.34 (2.11 to 5.72) 3.53 (1.8 to 7.46) 23.77 (8.94 to 31.98) 14.01 (4.11 to 53.54) 39.28 (21.29 to 81.87) 1.15 (0.58 to 2.31)
C99 4 Gy4.44 (2.37 to 8.86) 3 (1.66 to 5.92) 0.97 (0.30 to 3.48) 0.44 (0.22 to 0.87) 14.2 (0.16 to 18) 0.49 (0.27 to 0.92)
Cell lineAZD-7762 IC50PF4777 IC50AZD-6244 IC50Trametinib IC50Vemurafenib IC50
LS411 0 Gy2.69 (1.5 to 6.50) 3.84 (2.91 to 5.08) 11.92 (5.13 to 39.4) 2.03 (0.08 to 25.26) 58.81 (30.19 to 144.8)
LS411 4 Gy0.41 (0.25 to 0.69) 1.49 (1.06 to 1.83) 6.94 (2.62 to 24.83) 1.81 (0.006 to 48.6) 20.39 (4.63 to 210.7)
RKO 0 Gy0.02 (0.015 to 0.03) 0.47 (0.31 to 0.71) *148.750.09 (0.03 to 0.3) 15.14 (4.37 to 57.2)
RKO 4 Gy0.005 (0.004 to 0.008) 0.19 (0.15 to 0.25) 4.62 (0.74 to 46.47) 0.03 (0.01 to 0.07) 4.57 (0.99 to 29.93)
VACO5 0 Gy0.05 (0.03 to 0.11) 1.5 (1.06 to 2.16) 14.81 (7.95 to 29.18) 0.01 (0.007 to 0.017) 9.37 (6.57 to 13.45)
VACO5 4 Gy0.01 (0.004 to 0.02) 0.28 (0.23 to 0.34) 7.08 (4.28 to 11.86) 0.003 (0.003 to 0.004) 3.86 (2.6 to 5.84)
HT29 0 Gy0.03 (0.02 to 0.06) 4.08 (2.58 to 6.89) 2.34(1.02 to 5.62)0.02 (0.01 to 0.04) 13.1 (5.49 to 32.24)
HT29 4 Gy0.01 (0.003 to 0.03) 1.57 (1.03 to 2.45) 1.87(0.62 to 6.39)0.01 (0.007 to 0.02) 11.76 (6.68 to 20.96)
OXCO4 0 Gy2.14 (1.39 to 3.73) 1.54 (1.08 to 2.22) 3.04 (1.76 to 5.35) *0.1514.57 (10.14 to 21.19)
OXCO4 4 Gy0.17 (0.13 to 0.22) 0.76 (0.54 to 1.09) 0.82 (0.33 to 2.4) *0.0610.6 (4.09 to 28.44)
CW2 0 Gy2.16 (1.17 to 5.32) 26.75 (21.9 to 32.78) 1.72 (0.47 to 9.39) 0.46 (0.2 to 1.24) *53.05
CW2 4 Gy* >220.75 (6.06 to 71.96) * >100.18 (0.076 to 0.44) *49.07
DLD1 0 Gy0.14 (0.1 to 0.21) * 15.02* >20* >1*66.41
DLD1 4 Gy0.02 (0.01 to 0.05) 5.46 (2.36 to 12.91) * >200.08 (0.02 to 0.59) 33.24 (14.01 to 84.84)
CCK81 0 Gy0.75 (0.43 to 1.42) * >10* >20*>1* >160
CCK81 4Gy0.11 (0.08 to 0.17) * >10* >20* >1* >160
C10 0 Gy0.12 (0.1 to 0.15) *10.08*25.690.68 (0.26 to 3.31) 53.16 (30.73 to 99.45)
C10 4 Gy0.12 (0.08 to 0.2) * >10* >200.29 (0.13 to 0.74) 48.79 (23.05 to 119.8)
SW403 0 Gy0.26 (0.18 to 0.37) 0.79 (0.44 to 1.41) 6.45 (3.02 to 15.7) *2.03* >80
SW403 4 Gy0.13 (0.1 to 0.16) 0.37 (0.22 to 0.62) 1.71 (1.08 to 2.76) * 1.68* >80
COLO678 0 Gy* >2*25.141.12 (0.72 to 1.78) 0.006 (0.005 to 0.008) * >80
COLO678 4 Gy* >2*25.391.47 (1.07 to 2.04) 0.005 (0.002 to 0.01) * >80
SW1222 0 Gy0.07 (0.05 to 0.1) 6.26 (4.02 to 10.64) 3.75 (0.64 to 45.5) 0.23 (0.09 to 0.69) * >160
SW1222 4 Gy0.02 (0.02 to 0.02) 1.19 (0.76 to 1.91) 0.61 (0.43 to 0.87) 0.04 (0.02 to 0.07) 39.5 (27.01-57.36)
HCA7 0 Gy0.06 (0.01 to 0.47) 2.37 (1.76 to 3.26) * >200.41 (0.21 to 0.89) 196.8 (178.93 to 231)
HCA7 4 Gy0.01 (0.00 to 0.14) 0.42 (0.36 to 0.49) *18.770.15 (0.09 to 0.24) 116.7 (64.29 to 256.3)
HT55 0 Gy0.06 (0.05 to 0.09) 0.97 (0.73 to 1.28) 1.55 (0.28 to 5.02) 0.08 (0.03 to 0.29) 49.39 (15.7 to 169.4)
HT55 4 Gy0.02 (0.01 to 0.02) 0.37 (0.3 to 0.47) 1.55 (0.41 to 3.33) 0.05 (0.03 to 0.09) 50.77 (22.77 to 132)
C99 0 Gy0.12 (0.07 to 0.22) 3.75 (1.92 to 8.38) 1.27 (0.32 to 5.5) 0.01 (0.007 to 0.023) * >160
C99 4 Gy0.34 (0.07 to 2.32) 1.43 (0.32 to 7.72) 0.38 (0.16 to 1.08) 0.004 (0.002 to 0.007) * >160
  61 in total

1.  Mechanism of activation of the RAF-ERK signaling pathway by oncogenic mutations of B-RAF.

Authors:  Paul T C Wan; Mathew J Garnett; S Mark Roe; Sharlene Lee; Dan Niculescu-Duvaz; Valerie M Good; C Michael Jones; Christopher J Marshall; Caroline J Springer; David Barford; Richard Marais
Journal:  Cell       Date:  2004-03-19       Impact factor: 41.582

2.  RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis.

Authors:  Fangxin Hong; Rainer Breitling; Connor W McEntee; Ben S Wittner; Jennifer L Nemhauser; Joanne Chory
Journal:  Bioinformatics       Date:  2006-09-18       Impact factor: 6.937

3.  Clonogenic assay of cells in vitro.

Authors:  Nicolaas A P Franken; Hans M Rodermond; Jan Stap; Jaap Haveman; Chris van Bree
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

4.  The optimal schedule for 5-fluorouracil radiosensitization in colon cancer cell lines.

Authors:  Eiki Ojima; Yasuhiro Inoue; Hideki Watanabe; Junichiro Hiro; Yuji Toiyama; Chikao Miki; Masato Kusunoki
Journal:  Oncol Rep       Date:  2006-11       Impact factor: 3.906

Review 5.  The integration of oral capecitabine into chemoradiation regimens for locally advanced rectal cancer: how successful have we been?

Authors:  R Glynne-Jones; J Dunst; D Sebag-Montefiore
Journal:  Ann Oncol       Date:  2006-03       Impact factor: 32.976

6.  Benzethonium chloride: a novel anticancer agent identified by using a cell-based small-molecule screen.

Authors:  Kenneth W Yip; Xinliang Mao; P Y Billie Au; David W Hedley; Sue Chow; Shadi Dalili; Joseph D Mocanu; Carlo Bastianutto; Aaron Schimmer; Fei-Fei Liu
Journal:  Clin Cancer Res       Date:  2006-09-15       Impact factor: 12.531

7.  Poor survival associated with the BRAF V600E mutation in microsatellite-stable colon cancers.

Authors:  Wade S Samowitz; Carol Sweeney; Jennifer Herrick; Hans Albertsen; Theodore R Levin; Maureen A Murtaugh; Roger K Wolff; Martha L Slattery
Journal:  Cancer Res       Date:  2005-07-15       Impact factor: 12.701

8.  In vitro radiosensitization by oxaliplatin and 5-fluorouracil in a human colon cancer cell line.

Authors:  Johan Kjellström; Elisabeth Kjellén; Anders Johnsson
Journal:  Acta Oncol       Date:  2005       Impact factor: 4.089

9.  Enhanced radiosensitization with gemcitabine in mismatch repair-deficient HCT116 cells.

Authors:  Blaine W Robinson; Michael M Im; Mats Ljungman; Françoise Praz; Donna S Shewach
Journal:  Cancer Res       Date:  2003-10-15       Impact factor: 12.701

10.  Mutations of the BRAF gene in human cancer.

Authors:  Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal
Journal:  Nature       Date:  2002-06-09       Impact factor: 49.962

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