Literature DB >> 16709241

Cellular response to 5-fluorouracil (5-FU) in 5-FU-resistant colon cancer cell lines during treatment and recovery.

Paula M De Angelis1, Debbie H Svendsrud, Katherine L Kravik, Trond Stokke.   

Abstract

BACKGROUND: Treatment of cells with the anti-cancer drug 5-fluorouracil (5-FU) causes DNA damage, which in turn affects cell proliferation and survival. Two stable wild-type TP53 5-FU-resistant cell lines, ContinB and ContinD, generated from the HCT116 colon cancer cell line, demonstrate moderate and strong resistance to 5-FU, respectively, markedly-reduced levels of 5-FU-induced apoptosis, and alterations in expression levels of a number of key cell cycle- and apoptosis-regulatory genes as a result of resistance development. The aim of the present study was to determine potential differential responses to 8 and 24-hour 5-FU treatment in these resistant cell lines. We assessed levels of 5-FU uptake into DNA, cell cycle effects and apoptosis induction throughout treatment and recovery periods for each cell line, and alterations in expression levels of DNA damage response-, cell cycle- and apoptosis-regulatory genes in response to short-term drug exposure.
RESULTS: 5-FU treatment for 24 hours resulted in S phase arrests, p53 accumulation, up-regulation of p53-target genes on DNA damage response (ATF3, GADD34, GADD45A, PCNA), cell cycle-regulatory (CDKN1A), and apoptosis-regulatory pathways (FAS), and apoptosis induction in the parental and resistant cell lines. Levels of 5-FU incorporation into DNA were similar for the cell lines. The pattern of cell cycle progression during recovery demonstrated consistently that the 5-FU-resistant cell lines had the smallest S phase fractions and the largest G2(/M) fractions. The strongly 5-FU-resistant ContinD cell line had the smallest S phase arrests, the lowest CDKN1A levels, and the lowest levels of 5-FU-induced apoptosis throughout the treatment and recovery periods, and the fastest recovery of exponential growth (10 days) compared to the other two cell lines. The moderately 5-FU-resistant ContinB cell line had comparatively lower apoptotic levels than the parental cells during treatment and recovery periods and a recovery time of 22 days. Mitotic activity ceased in response to drug treatment for all cell lines, consistent with down-regulation of mitosis-regulatory genes. Differential expression in response to 5-FU treatment was demonstrated for genes involved in regulation of nucleotide binding/metabolism (ATAD2, GNL2, GNL3, MATR3), amino acid metabolism (AHCY, GSS, IVD, OAT), cytoskeleton organization (KRT7, KRT8, KRT19, MAST1), transport (MTCH1, NCBP1, SNAPAP, VPS52), and oxygen metabolism (COX5A, COX7C).
CONCLUSION: Our gene expression data suggest that altered regulation of nucleotide metabolism, amino acid metabolism, cytoskeleton organization, transport, and oxygen metabolism may underlie the differential resistance to 5-FU seen in these cell lines. The contributory roles to 5-FU resistance of some of the affected genes on these pathways will be assessed in future studies.

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Year:  2006        PMID: 16709241      PMCID: PMC1524802          DOI: 10.1186/1476-4598-5-20

Source DB:  PubMed          Journal:  Mol Cancer        ISSN: 1476-4598            Impact factor:   27.401


Background

5-fluorouracil is a chemotherapeutic drug used worldwide in the treatment of metastatic colorectal cancer, either alone or in combination with irinotecan, a topoisomerase I inhibitor. 5-FU is considered to be purely an S phase-active chemotherapeutic agent, with no activity when cells are in G0 or G1 [1]. It is well-established that treatment of cells with 5-FU causes DNA damage, specifically double-strand (and single-strand) breaks, during S phase due to the misincorporation of FdUTP into DNA [2,3]. However, damage to DNA can occur in all cell cycle phases in proliferating cells, and the repair mechanisms involved vary in the different phases of the cell cycle [4,5]. DNA damage checkpoint pathways in G1, S, and G2 couple DNA damage detection to inhibition of cell cycle progression, activation of DNA repair, maintenance of genomic stability, and when damage is beyond repair, to initiation of cellular senescence [6]. The position of tumor cells in the cell cycle and the ability to undergo apoptosis in response to drug treatment together play an important role in the sensitivity of tumor cells to chemotherapy. 5-FU has a complicated mechanism of action with several enzymes involved in its metabolic activation [7]. It inhibits thymidylate synthase as its main mechanism of action, leading to depletion of dTTP. Overexpression of thymidylate synthase has been shown to be associated with 5-FU resistance in colorectal cancer [8,9], but it is also likely that other alterations, for example, to crucial genes on cell cycle and apoptotic regulatory pathways, underlie the development of resistance. Two independent 5-FU-resistant cell lines, designated ContinB and ContinD, were recently generated from parental HCT116 colon cancer cells via continuous exposure to 5-FU, and characterized for genotypes, phenotypes, and gene expression associated with the generation of 5-FU resistance [10]. Compared to parental HCT116 cells, the resistant cell lines demonstrated moderate (ContinB) to strong (ContinD) resistance to 5-FU and up-regulation of TYMS. Cellular phenotypes such as reduced apoptosis and more aggressive growth relative to the parental HCT116 cell line characterized both resistant cell lines. This was consistent with up-regulation of apoptosis-inhibitory genes (IRAK1, MALT1, BIRC5), positive growth-regulatory genes (CCND3, CCNE2), DNA repair genes (FEN1, FANCG), and metastasis signature genes (LMNB1, F3 TMSNB), and down-regulation apoptosis-promoting genes (BNIP3, BNIP3L, FOXO3A) and negative growth-regulatory genes (AREG, CDKN1A, CCNG2, GADD45A) in one or both resistant cell lines. Both 5-FU-resistant cell lines retained the wild-type TP53 genotype characteristic of the parental HCT116 cells [10]. In the present work, the cellular responses of HCT116 parental and 5-FU-resistant cell lines to short-term 5-FU treatment were characterized and compared. Given the fact that the 5-FU-resistant cell lines displayed reduced apoptosis and more aggressive growth phenotypes compared to the parental cells as a consequence of resistance development, it was of interest to determine potential differential responses to 5-FU during short-term 5-FU challenge. We investigated cell cycle effects and apoptosis induction throughout treatment and recovery periods for each cell line, as well as changes in expression levels of DNA damage response-, cell cycle- and apoptosis-regulatory genes (among others) that occur within the first 24 hours in response to 5-FU treatment. Characterizations of the cellular responses to short-term drug treatment in resistant colorectal cancer cells will facilitate a better understanding of the multiple mechanisms involved in drug response and development of 5-FU resistance.

Results

Cell proliferation, cell cycle distribution, and apoptosis during recovery from 5-FU treatment

Cells were treated with 5-FU for 24 hours and followed for up to 40 days in drug-free medium to determine cell counts, cell cycle distributions, and apoptotic fractions (Figure 1). Cell counts decreased during the early period of recovery following drug removal (up to and including day 6) for all cell lines, after which point they flattened out for the parental and ContinB cells (Figure 1). After day 7, the cell counts for ContinD increased steadily. The cell counts for ContinB and parental cultures began to increase after about 15 and 20 days, respectively.
Figure 1

Cell counts during recovery periods following drug removal: cell counts were measured throughout the respective recovery periods for each cell line following a shift to drug-free medium at 24 hours (Day 1). The dashed (---) line shows the number of viable cells in untreated exponentially-growing cultures.

Cell counts during recovery periods following drug removal: cell counts were measured throughout the respective recovery periods for each cell line following a shift to drug-free medium at 24 hours (Day 1). The dashed (---) line shows the number of viable cells in untreated exponentially-growing cultures. Cell cycle analyses were performed to elucidate the patterns and timeframes of cell cycle progression during recovery in each 5-FU-treated cell line (Figure 2). After an initial accumulation in S phase during the first 24 hours with drug treatment (see later), the S phase fractions decreased in all cell lines during the early period of recovery following drug removal, concomitant with increases in the G1 and G2/M fractions. Overall, the 5-FU-resistant cell lines had the smallest S phase fractions (Figure 2b), and in the case of the ContinD cell line, the largest G2/M fractions (Figure 2c). The S phase fractions increased again at 8 and 15 days for ContinD and ContinB cells, respectively. The cell cultures were eventually allowed to reach full confluence, evidenced by an increase in the G1 fraction and decreases in the S and G2/M phase fractions in all the cell lines.
Figure 2

Cell cycle distributions during recovery periods following drug removal: fractions of cells in (a)G1, (b)S, and (c)G2

cell cycle phases were measured at intervals during the respective recovery periods for each cell line.

Cell cycle distributions during recovery periods following drug removal: fractions of cells in (a)G1, (b)S, and (c)G2 cell cycle phases were measured at intervals during the respective recovery periods for each cell line. 5-FU-induced DNA damage resulted in large differences in apoptosis induction in the HCT116 cell lines during treatment and recovery (Figure 3), with the highest levels of apoptosis observed in the parental cells and the lowest in the ContinD cells. Following removal of 5-FU at 24 hours, apoptosis levels increased in the parental and ContinB cells, until they peaked at over 80% on day 10, after which they decreased to 30%. On day 15 the apoptotic fractions began to increase again, but only for the parental cells, peaking at about 80% on day 20, and then the levels gradually decreased to control levels at day 24. There was no 5-FU induced increase in the fraction of apoptotic ContinD cells (compared to the levels of spontaneous apoptosis in the untreated cells).
Figure 3

Apoptotic fractions during recovery periods following drug removal: apoptosis induction in 5-FU-treated HCT116 cell lines during the respective recovery periods for each cell line. The dashed line shows the levels of natural (spontaneous) apoptosis in untreated control cells.

Apoptotic fractions during recovery periods following drug removal: apoptosis induction in 5-FU-treated HCT116 cell lines during the respective recovery periods for each cell line. The dashed line shows the levels of natural (spontaneous) apoptosis in untreated control cells.

5-FU incorporation and cell cycle progression during the initial 24 hour treatment period

The large differences in cell growth and apoptosis during recovery suggested that there might be differential responses to 5-FU in the cell lines during the first 24 hours of treatment. The reduced apoptosis of ContinB/D cells to 5-FU compared to the parental cells could have been due to decreased incorporation of 5-FU into DNA. At 8 hours, the parental cell line incorporated more [6-3H]5-FU into DNA than did either of the resistant cell lines, but the differences were not significant (Figure 4). At 24 hours, the ContinD cell line showed the highest levels of 5-FU incorporation into DNA, whereas the ContinB cell line had the lowest levels (p < 0.05). However, neither of the two resistant cell lines showed significant differences in incorporation relative to the parental cells.
Figure 4

Incorporation of 5-FU into DNA of parental and 5-FU-resistant HCT116 cell lines in response to 8 and 24-hr. 5-FU treatment: Incorporation of 5-FU into DNA is given as the ratio of disintegrations per minute (dpm) per μg DNA. The dashed line represents background dpm levels.

Incorporation of 5-FU into DNA of parental and 5-FU-resistant HCT116 cell lines in response to 8 and 24-hr. 5-FU treatment: Incorporation of 5-FU into DNA is given as the ratio of disintegrations per minute (dpm) per μg DNA. The dashed line represents background dpm levels. We further investigated whether there were differences in growth or cell cycle progression during the first 24 hours of 5-FU treatment. The growth of HCT116 parental cells was completely inhibited at 24 hours (Figure 5). The cell number increased after 24 hours of 5-FU treatment for the ContinD and to a smaller degree for the ContinB cell lines, but less than in the corresponding controls. However, since the fraction of apoptotic cells was increased at 24 hours for the parental (and to a smaller degree ContinB cells; Figure 3), some cells in these cultures may still have divided during the 24 hour period, in agreement with the non-zero mitotic fractions observed at 8 hours (Figure 6). No mitotic cells were observed at 24 hours. The distribution of cells in the G1, S, and G2(/M) phases of the cell cycle was measured by staining for DNA content (Figure 7). A G1(/S) arrest occurred in the parental and ContinB cells at 8 hours after 5-FU addition, evidenced by a larger fraction of cells in the G1 phase. At 8 hours, the size of the G1 fraction in 5-FU-treated ContinD cells was similar to that measured for its untreated control. S phase fractions in all 5-FU-treated cell lines were equivalent in size and similar to those measured in the respective untreated controls at the 8 hour timepoint. The sizes of the G2(/M) fractions in 5-FU-treated parental and ContinB cell lines were smaller than their respective controls at 8 hours, but in ContinD cells the size of the G2 fraction was similar to that measured for the untreated controls. At 24 hours, the G1 fractions in all 5-FU-treated cell lines were smaller and the S phase fractions were larger compared to their respective untreated controls, indicating release of the arrested cells at the G1/S boundary and movement into S phase. The cell cycle histograms show directly synchronized populations of cells in S phase caused initially by the G1/S arrest and subsequent release of these cells into S phase (Figure 7). Parental HCT116 cells had the largest S phase accumulation (80% S phase cells), whereas ContinB and ContinD cells had smaller S phase accumulations (70% and 52%, respectively) compared to 25% in the respective untreated controls (Figure 7c). The G2 fractions in the 5-FU-treated cells at 24 hours were smaller relative to those measured for untreated control cells, probably reflecting the slow movement of cells through S phase. ContinD cells had the largest G2 fraction compared to the other 5-FU-treated cell lines.
Figure 5

Cell growth in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: cell growth at 8 and 24 hours after addition of 5-FU to the media in (a) parental cells, (b) ContinB cells, (c) ContinD cells.

Figure 6

Mitotic fractions in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: mitotic fractions in all cell lines at 8 and 24 hours after 5-FU addition, showing gradual cessation of mitosis over the 24-hour treatment period.

Figure 7

Cell cycle progression in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: (a) cell cycle distributions showing G1/S boundary arrests at 8 hours and S phase arrests at 24 hours, showing S phase arrests at 24 hours; (b)-(d) G1, S and G2M fractions in all cell lines at 8 and 24 hours after 5-FU addition.

Cell growth in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: cell growth at 8 and 24 hours after addition of 5-FU to the media in (a) parental cells, (b) ContinB cells, (c) ContinD cells. Mitotic fractions in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: mitotic fractions in all cell lines at 8 and 24 hours after 5-FU addition, showing gradual cessation of mitosis over the 24-hour treatment period. Cell cycle progression in parental and 5-FU-resistant HCT116 cell lines in response to 5-FU treatment for 24 hours: (a) cell cycle distributions showing G1/S boundary arrests at 8 hours and S phase arrests at 24 hours, showing S phase arrests at 24 hours; (b)-(d) G1, S and G2M fractions in all cell lines at 8 and 24 hours after 5-FU addition.

Expression of DNA damage response, cell-cycle regulatory, and apoptosis-regulatory genes

Since neither the incorporation of 5-FU nor differences in cell cycle arrest could explain the large differences in 5-FU resistance and induction of apoptosis, we investigated the gene expression patterns of the cell lines in response to 5-FU challenge. Table 1 summarizes the microarray gene expression data for altered genes localized to DNA damage response, cell cycle-regulatory and apoptosis-regulatory pathways. The alterations in gene expression levels are in response to 5-FU treatment, but information about whether these genes were altered as a consequence of resistance development [10] are also included. For some genes, protein levels were measured in addition to gene transcript levels at 8 and 24 hours (Figure 8). At 8 hours, p53 protein levels were 2.0, 1.8, and 1.4 fold higher in 5-FU-treated parental, ContinB and ContinD cells respectively relative to their respective untreated controls (Figure 8a). At 24 hours, p53 protein levels had increased further relative to control levels; levels were 2.3, 3.0, and 2.1-fold higher in 5-FU-treated parental, ContinB and ContinD cells respectively. A number of important genes located on DNA damage response pathways were scored as altered in the 5-FU-treated cells relative to the untreated control cells following exposure to 5-FU. The ATF3, GADD34, GADD45A, PCNA, and TP53I3 genes were all up-regulated at 8 and/or 24 hours in response to 5-FU treatment in all HCT116 cell lines relative to untreated controls. GADD45A transcript levels were highest in 5-FU-treated ContinB cells at 24 hours, nearly 10-fold higher than in the untreated control. (GADD45A expression levels measured by real-time RT-PCR correlated well with those measured using the 13 K microarrays (r = 0.83, p < 0.05)). However, GADD45A protein levels increased only 10% in the treated parental and ContinB cell lines at 8 hours, and in ContinD cells they had actually decreased about 10%; at 24 hours there was no change in GADD45A protein levels in the treated parental cells, whereas we measured a decrease of 1.3 and 1.8 fold respectively for treated ContinB and ContinD relative to their respective controls (Figure 8b). RAD23A and XPC were down-regulated and up-regulated respectively in ContinB cells at 8 hours, but not in the other cell lines at any timepoint. MSH2 was down-regulated in the 5-FU-treated parental and ContinB cell lines.
Table 1

Differential gene expression in parental HCT116 and 5-FU-resistant cell lines: DNA damage response/repair, cell cycle, and apoptosis regulatory pathways.

Gene symbolparent al 8 hr 5 FUaparenta l 24 hr 5 FU aContin B 8 hr 5 FU aContin B 24 hr 5 FU aContin D 8 hr 5 FU aContin D 24 hr 5 FU aaltered in ContinB as a result of resistance development baltered in ContinD as a result of resistance development bRegulatory pathway/function
DNA damage response/DNA repair
ATF32.13.11.52.31.82.8-0.7-1.2protective response of human cells to ionizing radiation
GADD340.91.40.91.30.81.5-0.1-0.2cellular response to stress and DNA damage stressful growth arrest conditions, treatment with DNA-damaging
GADD45A2.32.92.83.11.52.1-1.1-0.3agents
MMS20.30.70.20.6-0.1-0.1nanacellular response to stress; regulation of DNA repair
MSH2-1.0-1.1-1.2-0.7-0.2-0.8-0.30.8mismatch repair
PCNA1.12.60.92.20.61.30.80.8involved in DNA replication and repair
RAD23A-0.2-0.4-1.6-0.5-0.10.1nananucleotide excision repair
TP53-0.8-1.00.0-0.90.0-0.50.50.4DNA damage response, negative regulator of cell growth
TP53I3-0.72.30.72.50.42.5nanacellular response to oxidative stresses and irradiation
XPC0.00.41.30.80.20.5-0.6-0.4nucleotide excision repair
Cell cycle/cell proliferation
AREG0.21.90.83.1-0.11.8-2.2-2.1positive regulator of cell growth; inhibits apoptosis together with IGF1
BUB1-1.3-1.1-0.6-0.3-0.5-0.90.40.6spindle checkpoint function
BUB1B-1.4-2.5-0.9-1.8-0.9-1.40.60.6spindle checkpoint function
CCNB1-0.3-0.5-0.5-0.4-0.5-1.8nanaregulates G2M cell cycle transition
CCNB2-0.7-1.1-0.7-0.7-0.4-1.60.00.5regulates G2M cell cycle transition
CCNC-1.0-1.9-2.1-2.0-0.4-0.5-0.4-0.3involved in G1 cell cycle regulation
CCND30.71.60.92.40.41.01.70.1regulates G1/S cell cycle transition
CCNG1-1.8-1.1-0.4-1.3-0.3-0.5-1.4-0.3growth inhibitory activity linked to ARF-p53 and pRb pathways.
CDC25B-1.6-1.4-0.9-1.2-0.3-0.60.2-0.7dephosphorylates CDC2 to allow progression to mitosis
CDC60.71.1-0.60.00.20.20.81.0regulator at early steps of DNA replication
CDCA50.21.4-0.10.50.20.2nanaG1/S transition of cell cycle
CDKN1A2.43.12.83.61.93.0-0.5-1.1negative regulator of cell cycle progression at G1
CHC1-1.5-0.2-1.4-1.1-0.4-0.21.80.7regulator of chromosome condensation
GTF2B-0.7-0.4-1.1-1.3-0.20.2-0.8-0.1regulation of transcription, DNA-dependent
H3F3B-0.7-0.6-1.9-1.1-0.10.0-0.1-0.1chromosome organization and biogenesis; nucleosome assembly
IRF6-0.30.5-0.60.10.01.2nanaregulation of transcription, DNA-dependent
LIPH0.2-1.2-0.5-0.40.00.0nanastimulation of cell proliferation and motility
MCM3-0.6-1.5-0.4-2.10.0-1.91.00.8initiation of genome replication; formation of replication forks
MKI67-0.8-1.20.0-0.4-0.1-0.40.80.9antigen identified by monoclonal antibody Ki-67; cell proliferation
MYC-0.3-1.2-1.1-1.9-0.6-0.2-0.3-0.5dual signaling for cell growth and cell death
NAP1L1-0.3-0.8-0.9-1.9-0.4-0.7nanaDNA replication; positive regulation of cell proliferation
NBL1-1.1-1.3-0.7-0.50.0-0.1nanatranscription factor; negative regulator of cell cycle
NDEL1-0.6-0.3-1.5-1.1-0.30.00.3-0.1thiol-activated peptidase phosphorylated in M phase of the cell cycle
NEK1-0.7-1.2-0.20.0-0.1-0.5nanaDNA damage response pathway at the G2/M transition
NEK4-1.0-1.2-0.6-0.8-0.5-1.2nanainvolved in mitosis
NEK9-1.2-1.1nd-0.1-0.2-0.4nanabinds Ran GTPase and regulates mitotic progression
PARD3-0.80.3-0.6-1.5-0.4-0.1ndndasymmetric cell division; establishment/maintenance of cell polarity
PDAP10.2-1.30.5-0.30.2-0.50.90.8cell proliferation; signal transduction
PDXP-0.3-1.30.4-0.30.1-0.5nanamaintaining biochemical homeostasis required for proper spindle assembly/function; regulates G2M
PLK-2.1-2.3-1.8-2.8-0.5-1.61.50.7progression
PPP2CB0.81.71.02.20.21.10.10.0negative regulator of cell growth and division
PVT1-1.4-0.70.60.40.10.4nanaMYC activator
RAN-0.6-0.8-1.2-1.60.0-0.30.00.2translocation of RNA and proteins through nuclear pore complex
RARRES2-1.6-0.9-0.1-0.6-0.1-0.1ndndgrowth inhibitory and cell differentiation activities
RFP-0.6-0.4-1.0-1.1-0.10.2nanacell proliferation; regulation of transcription, DNA-dependent
RNF4-0.2-1.10.1-0.4-0.10.10.30.2transcription regulator; inhibits activity of TRPS1
RRM20.91.40.91.00.40.10.40.8catalyzes formation of deoxyribonucleotides from ribonucleotides
RUNX3-0.7-0.8-0.6-1.3-0.10.00.1-0.3cell proliferation; regulation of transcription, DNA-dependent
STK6-2.1-1.5-1.1-1.4-0.8-2.11.00.8microtubule formation at spindle pole during chromosome segregation
TIMP10.1-0.70.4-0.3-0.3-1.4-0.5-0.5positive regulation of cell proliferation
TOP1-0.9-1.4-1.8-0.1-0.4-0.1-0.4-0.4control of DNA topology during transcription
YWHAE0.4-1.20.4-0.2-0.1-0.3-1.2-0.6member of 14-3-3 family of proteins which mediate signal transduction
Apoptosis
AVEN0.21.51.01.80.11.00.8-0.2inhibits Apaf-1-mediated caspase activation
BAK1-0.5-0.8-0.2-0.6-0.2-0.10.7-0.2apoptosis promoter
BAXnananananana0.5-0.3apoptosis promoter
BCL2ndndndndndndndndapoptosis inhibitor
BIRC5-0.2-1.2nd0.0-0.1-0.31.20.7apoptosis inhibitor
BNIP3nananananana-1.0-0.1apoptosis promoter
BNIP3L-1.3-2.0nd-2.0-1.4-1.0-2.7-0.5apoptosis promoter
CASP30.0-0.5-1.7-1.2-0.3-0.10.00.1apoptosis promoter
FAS2.13.82.93.31.82.20.20.2apoptosis promoter
IRAK1-0.7-0.4-0.4-0.30.1-0.11.60.1apoptosis inhibitor
MALT1nananananana1.50.8apoptosis inhibitor
SERPINB21.12.50.21.70.61.3ndndinhibits TNF-alpha-induced apoptosis
TNFRSF6Bnananananana-2.7-2.0apoptosis inhibitor

aLog2 ratios from 13 K cDNA microarrays (DNR) and b log2 ratios from 8.5 K oligonucleotide microarrays (Affymetrix).

na = gene not on array; nd = not detected; genes scored as up-regulated (log2 ratio ≥ 1) or down-regulated (log2 ratio ≤ -1) are in bold print.

c Information from NCBI Entrez Gene.

Figure 8

DNA damage response and cell cycle-regulatory protein and transcript levels in 5-FU-treated parental and resistant HCT116 cell lines: (a) p53 protein and TP53 transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and their corresponding untreated controls; (b) GADD45A protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and their corresponding untreated controls; (c) CDKN1A protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and corresponding untreated controls; (d) MYC protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and corresponding untreated controls. For the bar charts that present gene expression levels, colorless bars depict the parental cell line, black bars the ContinB cell line, and vertically-striped bars the ContinD cell line.

Differential gene expression in parental HCT116 and 5-FU-resistant cell lines: DNA damage response/repair, cell cycle, and apoptosis regulatory pathways. aLog2 ratios from 13 K cDNA microarrays (DNR) and b log2 ratios from 8.5 K oligonucleotide microarrays (Affymetrix). na = gene not on array; nd = not detected; genes scored as up-regulated (log2 ratio ≥ 1) or down-regulated (log2 ratio ≤ -1) are in bold print. c Information from NCBI Entrez Gene. DNA damage response and cell cycle-regulatory protein and transcript levels in 5-FU-treated parental and resistant HCT116 cell lines: (a) p53 protein and TP53 transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and their corresponding untreated controls; (b) GADD45A protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and their corresponding untreated controls; (c) CDKN1A protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and corresponding untreated controls; (d) MYC protein and transcript levels at 8 and 24 hours in 5-FU-treated HCT116 cell lines and corresponding untreated controls. For the bar charts that present gene expression levels, colorless bars depict the parental cell line, black bars the ContinB cell line, and vertically-striped bars the ContinD cell line. Cell cycle alterations at 8 and 24 hours after drug addition were reflected in altered expression patterns of genes involved in cell cycle progression in the treated HCT116 cell lines compared to untreated controls. Cell cycle- and growth-regulatory genes such as AREG, CCND3 and CDKN1A were up-regulated in all 5-FU-treated cell lines compared to untreated controls at either 8 or 24 hours or both, whereas down-regulation of CCNB1 was detected in ContinD cells only. CCNC, CCNG1, and CDC25B were down-regulated in parental and ContinB cells, whereas RAN was down-regulated in ContinB cells (Table 1). There was good correlation between CDKN1A expression measured by real-time RT-PCR and that measured using the 13 K microarrays (r = 0.7, p < 0.05). CDKN1A protein levels at 8 hours were 1.9, 2.6, and 1.7-fold higher in the treated parental, ContinB, and ContinD cells respectively relative to their untreated controls, whereas the corresponding levels were 2.8, 3.8 and 2.0-fold higher at 24 hours (Figure 8c). MYC was also induced in response to 5-FU treatment in all HCT116 cell lines; protein levels at 8 hours were 2.3, 2.4, and 3.2 fold higher in the treated parental, ContinB and ContinD cells, respectively compared to their untreated controls, and at 24 hours, these levels had increased 2.9, 2.4 and 4.8-fold compared to their respective controls (Figure 8d). MYC protein levels did not correlate with transcript levels, since the MYC transcript was down-regulated in parental and ContinB cell lines (slight down-regulation in ContinD cells) (Table 1). The cell cycle-regulatory genes CDC6, CDCA5, PDAP1, PDXP, PVT1, and RARRES2 were altered in the parental HCT116 cell line but not in either of the 5-FU-resistant cell lines in response to short-term drug treatment. The S-phase regulatory gene PPP2CB was up-regulated in all cell lines, whereas RRM2 was up-regulated in parental and ContinB cells. MCM3 was down-regulated in all cell lines, consistent with reduction or cessation of replication activity. In agreement with the reduced entry into mitosis, spindle-checkpoint and mitosis-regulatory genes such as BUB1, BUB1B, NEK4, PLK and STK6 were all down-regulated at 8 and/or 24 hours in these cell lines in response to 5-FU. Table 1 summarizes the expression levels of apoptosis-regulatory genes that were altered at 8 and 24 hours following drug addition in the HCT116 parental and resistant cell lines. The apoptosis-inhibiting genes AVEN and SERPINB2 were up-regulated at both 8 and 24 hours. The p53-regulated apoptosis-promoting gene FAS was up-regulated in each cell line, but lowest FAS levels were seen in ContinD cells. The apoptosis-promoting gene BNIP3L was down-regulated in all cell lines, while the apoptosis-promoting gene CASP3 was down-regulated in ContinB cells only. Some of the genes whose expression levels had been altered as a consequence of resistance development were further altered in response to short-term 5-FU treatment (8 or 24 hrs.) (Table 1), e.g. AREG, ATF3, BNIP3L, CCND3, CCNG1, CDKN1A, CHC1, GADD45A, MCM3, PLK, and STK6. Interestingly, some genes that were initially down-regulated as a result of resistance development (AREG, CDKN1A, GADD45A) were up-regulated in response to short-term 5-FU treatment. The opposite was also true; some genes that were initially up-regulated as a result of resistance development (CHC1, MCM3, PLK, and STK6) were down-regulated in response to short-term drug treatment.

Differences in 5-FU-induced gene expression in 5-FU-resistant cell lines

Having discussed genes specifically involved in DNA damage response, cell cycle and apoptosis regulation, we next focused on the genes that showed the largest differences in 5-FU-induced expression in the cell lines with different resistance levels (Table 2). A set of genes coding for guanine nucleotide-binding proteins (G proteins), which integrate signals between membrane receptors and downstream effector proteins, showed marked differential expression after 5-FU treatment in the 5-FU-resistant cell lines. GNL3 was only down-regulated in ContinD cells, while GNL2 was only down-regulated in ContinB cells. Neither of them were altered in the parental cell line in response to 5-FU. Other genes involved in nucleoside/nucleotide metabolism were also differentially expressed. ATAD2 was down-regulated in ContinD cells, whereas CMPK, MATR3, PRPS2 and TNRC8 were altered in ContinB cells. Genes involved in mRNA processing/transport (e.g. EPRS, GNB2, STAU1, SYMPK) were down-regulated in the parental cell line but not in the resistant cell lines. Other differentially-expressed genes were involved in regulation of cytoskeleton organization and cell adhesion: KRT7, KRT8, KRT19, all up-regulated in ContinB cells; JUP, up-regulated in ContinD cells and down-regulated in ContinB cells; ACTG2, ARPC3, F2, down-regulated in parental cells. Genes involved in amino acid metabolism (e.g. AHCY, GSS, IVD, OAT) were all down-regulated in ContinB cells. Signal transduction and transport genes such as NCBP1, RAN, SNAPAP, TM9SF2 were down-regulated in ContinB cells, whereas CENTG3 and TAX1BP1 were altered in ContinD cells. VPS52 was down-regulated in parental HCT116 cells. Some of the genes whose expression levels were altered in response to short-term 5-FU treatment had also been altered as a consequence of resistance development, e.g. IVD and TAX1BP1.
Table 2

Differential gene expression in parental HCT116 and 5-FU-resistant cell lines: additional affected regulatory pathways.

Gene symbolpar 8 hr 5 FUapar 24 hr 5 FUaContinB 8 hr 5 FU aContinB 24 hr 5 FU aContinD 8 hr 5 FU aContinB as a result of 5 FUaltered in ContinD as a result of resistance development baltered in ContinD as a result of resistance development bRegulatory pathway/function
Nucleoside/nucleotide metabolism and nucleotide binding
ADSS-0.1-1.40.1-0.6-0.2-0.30.80.6GTP and nucleotide binding; nucleotide metabolism
ATPIF1-0.2-1.00.4-0.10.0-1.5nananegative regulation of nucleoside metabolism
ATAD2-0.7-0.5-0.6-0.6-0.3-1.2nanaATP and nucleotide binding; assembly/disassembly of protein complexes
CMPK0.60.50.91.20.00.40.00.1nucleobase, nucleoside, nucleotide and nucleic acid metabolism
GNL2-0.20.3-1.9-1.2-0.2-0.20.20.1nucleotide binding, protein binding, GTPase activity
GNL30.1-0.2-0.50.0-0.4-1.7-0.5-0.3nucleotide binding, protein binding, GTPase activity
MATR3-0.2-0.8-0.5-1.4-0.10.0-0.6-0.1RNA binding; metal ion binding; nucleotide and nucleic acid binding
MBNL1-1.0-1.80.3-0.3-0.8-0.4nananucleic acid binding; zinc ion binding
PRPS20.1-0.3-1.6-1.20.0-0.2-0.2-0.2nucleoside metabolism; nucleotide biosynthesis
TNRC80.40.70.61.3-0.2-0.1nanatrinucleotide repeat containing 8 gene – function unknown
mRNA processing/transport
EPRS-0.3-1.50.20.0-0.7-0.1-0.9-0.6catalyzes aminoacylation of glutamic acid and proline tRNA species
GNB2-0.5-2.2-0.3-0.6-0.10.30.1-0.2pre-mRNA processing and cytoskeleton assembly
HMG20B-0.6-2.1-0.7-0.4-0.2-0.2nanatranscription factor; tRNA ligase activity; ATP binding
SRRM1-0.6-1.7-0.4-0.2-0.3-0.40.80.1mRNA processing
STAU1-0.3-1.20.30.0-0.1-0.40.4-0.1mRNA transport; intracellular transporter activity
SYMPK-1.9-0.9-0.4-0.8-0.3-0.30.3-0.1role in HSF1 modulation of Hsp70 mRNA polyadenylation
THOC1-0.5-1.3-0.5-0.7-0.1-0.4-0.30.4regulates transcriptional elongation; mRNA export from nucleus
Cytoskeleton/cell motility/cell adhesion
ACTG2-0.1-1.30.0-0.6-0.1-0.4ndndmaintenance of the cytoskeleton; cell motility
ARPC30.0-1.2-0.2-0.60.2-0.20.40.5regulation of actin cytoskeleton
F2-0.4-1.20.40.1-0.1-0.6ndndregulation of actin cytoskeleton; post-translational modification of proteins
ILK-0.4-0.30.00.70.1-1.1-0.2-0.3cell-matrix adhesion; integrin-mediated signaling pathway
JUP-0.40.2-1.1-0.5-0.11.1-0.8-0.3cell adhesion
KRT70.10.40.81.40.30.4nanacytoskeleton organization and biogenesis; cell communication
KRT80.30.11.01.70.30.6nanacytoskeleton organization and biogenesis; cell communication
KRT190.30.71.01.7-0.10.5-0.3-0.9cytoskeleton organization and biogenesis; cell communication
MAST10.2-0.7-1.4-1.30.10.2nanacytoskeleton organization and biogenesis; protein amino acid phosphorylation
TUBB0.0-0.30.50.3-0.2-1.3nanamicrotubule-based movement; protein polymerization
TUBE1-0.5-0.60.3-0.3-0.3-1.0nanamicrotubule-based movement; protein polymerization
Amino acid, protein, carbohydrate metabolism
AHCY0.70.91.31.40.20.30.2-0.3methionine, selenoamino acid metabolism
GANAB-0.2-0.5-1.4-1.30.1-0.2nanacarbohydrate metabolism
GCLC-0.5-0.9-2.2-1.6-0.2-0.3nanaglutamate metabolism
GSS-0.3-0.3-1.8-0.80.00.4-0.2-0.6glutamate and glutathione metabolism
IVD-0.7-0.2-1.6-2.4-0.30.31.00.1valine, leucine and isoleucine degradation
MRP630.70.61.41.10.20.0nanaprotein synthesis within the mitochondrion
OAT0.1-0.4-1.9-1.7-0.10.0-0.50.1arginine and proline metabolism; ornithine metabolism
Signal transduction/transport
CENTG3-1.10.2-0.50.2-0.61.1nanaregulation of GTPase activity; small GTPase mediated signal transduction
ERP70-0.2-1.9-0.9-0.4-0.1-0.3nanaelectron transport and protein secretion
KPNA3-0.8-1.2-0.1-0.3-0.3-0.2-0.1-0.1involved in nuclear transport system; intracellular protein transport
MTCH10.60.71.21.40.40.30.10.0neuronal ion channel clustering; transport; regulation of signal transduction
NCBP1-0.3-0.6-1.1-1.00.0-0.30.00.0RNA splicing; mRNA nuclear export; mRNA processing; transport
RAB8A-0.3-2.4-0.1-0.70.1-0.20.50.1GTP/GDP-binding protein involved in protein transport
RAN-0.6-0.8-1.2-1.60.0-0.3nanaRNA and protein export from nucleus; small GTPase mediated signal transduction; intracellular protein transport
SLC16A10.2-1.30.5-0.5-0.1-0.7-0.1-0.5mevalonate and organic anion transporter activity
SNAPAP-0.4-0.9-0.9-1.6-0.1-0.2nanaexocytosis; intracellular protein transport; neurotransmitter secretion
TAX1BP1-0.6-0.10.60.60.2-1.1-1.3-0.7protein binding
TAX1BP3-0.31.6-0.10.00.3-0.2nanaATP binding; signal transduction; ion transport
TM9SF2-0.4-0.5-1.9-1.6-0.1-0.50.10.1transport
TPD52-0.4-0.7-1.8-1.5-0.3-0.3nanacalcium ion binding; protein binding; protein homodimerization activity; secretion
UFM1-0.9-0.4-0.6-1.50.10.3nanaubiquitin cycle – function unknown
VPS52-0.6-1.20.1-0.50.1-0.20.3-0.1involved in vesicle trafficking from endosomes to trans-Golgi network
Oxygen metabolism
COX5A0.80.41.21.00.20.1-0.1-0.1oxidative phosphorylation
COX7C0.60.30.31.10.30.2nanaoxidative phosphorylation
MPV17-0.30.5-1.30.5-0.40.9-0.1-0.1oxygen and reactive oxygen species metabolism
SDHB-0.1-0.7-0.7-1.60.1-0.2-0.1-0.3oxidative phosphorylation; oxidative decarboxylation of pyruvate and TCA cycle

a Log2 ratios from 13 K cDNA microarrays (DNR) and blog2 ratios from 8.5 K oligonucleotide microarrays (Affymetrix).

na = gene not on array; nd = not detected; genes scored as up-regulated (log2 ratio ≥ 1) or down-regulated (log2 ratio ≤ -1) are in bold print.

c Information from NCBI Entrez Gene.

Differential gene expression in parental HCT116 and 5-FU-resistant cell lines: additional affected regulatory pathways. a Log2 ratios from 13 K cDNA microarrays (DNR) and blog2 ratios from 8.5 K oligonucleotide microarrays (Affymetrix). na = gene not on array; nd = not detected; genes scored as up-regulated (log2 ratio ≥ 1) or down-regulated (log2 ratio ≤ -1) are in bold print. c Information from NCBI Entrez Gene.

Discussion

Cell cycle progression after DNA damage is regulated by checkpoint controls in the G1 or G2 phase of the cell cycle. Additionally, S phase progression is reduced, but not entirely halted, after DNA damage [11]. Arrest in G1 and G2 allows repair prior to replication and mitosis, respectively. Failure to repair can result in apoptosis, mitotic catastrophe, or senescence [6]. In the present work, we wanted to elucidate potential differential responses to 8 and 24-hour 5-FU treatment in the HCT116 parental cell line and its 5-FU-resistant derivatives. We assessed several cellular phenotypes in an effort to clarify potential differences: levels of 5-FU uptake into DNA, cell cycle effects and apoptosis induction throughout treatment and recovery periods for each cell line. Each cell line incorporated 5-FU into DNA, but levels of incorporation were not significantly different between the cell lines at either 8 or 24 hours. 5-FU led to a G1(/S) arrest at 8 and 24 hours, consistent with the results of previous studies [7,12,13]. The G1 arrest was most pronounced in ContinD cells at 24 hours, whereas the S phase arrest was most pronounced in parental HCT116 cells at 24 hours. It also appeared that ContinD cells had a higher tendency to arrest in G2. Cell counts began to decrease immediately for parental and ContinB cells following 5-FU removal from the media, whereas this decrease was delayed by 24 hours for ContinD cells. Decreases in cell numbers following drug removal were consistent with cessation of mitotic activity at 24 hours and with subsequent high levels of apoptosis (for parental and ContinB cell lines) during recovery. The pattern of cell cycle progression during recovery demonstrated consistently that the smallest S phase fractions and the largest G2(/M) fractions were measured in the 5-FU-resistant cell lines. The levels of apoptosis were dramatically lower in the ContinD cell line relative to the other two cell lines, a pattern that persisted throughout the recovery period. Since this cell line also experiences a dramatic cell loss (>95%, Figure 1), which is not the result of apoptosis, it may be that cell death in this cell line occurs via necrosis. In any event, this cell line had the fastest turnaround time, in that it recovered exponential growth within 10 days, compared to 20 days for the ContinB cell line and closer to 30 days for the parental cell line. The G1(/S) arrest in these cell lines was accompanied by increases in p53 protein levels and induction of CDKN1A transcripts and CDKN1A, suggesting that the arrest could be p53-mediated. p53 is known to play a central role as a mediator of the DNA damage response/cell cycle arrest and in apoptosis induction [1,14,15]. There was little agreement between p53 protein levels and TP53 transcript levels, since the latter were either unchanged or down-regulated at 8 and 24 hours in each cell line. However, the mechanism of p53 protein activation is by protein stabilization (and phosphorylation) rather than by increased transcription [4], and since these cell lines have wild-type TP53 [10], and CDKN1A transcript and protein is induced after irradiation with ionizing radiation (unpublished results), the p53 response appears to be normal in the resistant cell lines as well as in the parental cell line. 5-FU treatment for 24 hours resulted in up-regulation of p53-target genes on DNA damage response/repair (GADD45A, XPC [16]PCNA [17], TP53I3, and ATF3), cell cycle-regulatory (CDKN1A), and apoptosis-regulatory pathways (FAS) in the parental and resistant cell lines. Differential down-regulation of cell-cycle regulatory genes known to be repressed by p53, e.g. PLK, CCNB1, CCNB2 and TOP1 [18] was also demonstrated in these cell lines. Successful detection of known p53-target genes by the microarrays used in the present work indicated that we had a good system for identifying p53-responsive genes. Apoptosis induction also appeared to be p53-mediated, as the p53-dependent apoptotic promoter FAS was up-regulated [19,20] in these cell lines in response to 5-FU treatment. Furthermore, induction of apoptosis is substantially reduced in these cell lines following knockdown of p53 (manuscript in preparation). Alterations in gene expression levels on cell cycle-, apoptosis-, and DNA damage response-regulatory pathways in the present study provided little explanation for the differential resistance to 5-FU seen in the three cell lines, especially that seen in the ContinD cell line compared to the other two cell lines. Many of the same genes were altered in response to 5-FU in all three cell lines, with only small differences in expression levels measured. Additionally, some of the genes that were up-regulated in response to short-term drug treatment had originally been down-regulated as a consequence of resistance development [10], e.g. CDKN1A, GADD45A, and AREG (Table 1), underscoring the difficulty in elucidating their role in/contribution to an overall resistance phenotype and the intricacy of drug resistance generally. However, when we considered other cellular regulatory pathways that were affected in response to short-term drug treatment, we found that genes involved in nucleotide binding and nucleotide metabolism, mRNA processing, cytoskeletal organization, amino acid metabolism, signal transduction/transport, and oxygen metabolism were differentially altered in the three cell lines (Table 2). Some of the affected genes were altered in the parental cell line but not in the resistant cell lines (mRNA processing genes), or in one or both resistant cell lines but not in the parental cell line (amino acid and nucleotide metabolism genes). Such gene alterations may provide important information about pathways that are activated in response to 5-FU in cells that are already resistant to the drug, information which may have useful implications for the design and modification of current chemotherapeutic regimens.

Conclusion

Our gene expression data suggest that altered regulation of nucleotide metabolism, amino acid metabolism, cytoskeleton organization, transport, and oxygen metabolism may underlie the differential resistance to 5-FU seen in these cell lines. Future work will involve RNA interference studies to assess the contributory roles and importance of some of the altered genes to 5-FU resistance.

Methods

Cell lines, culture conditions, and drug treatment

The HCT116 parental cell line (ATCC CCL247) and HCT116 ContinB and ContinD resistant derivatives (all wild-type TP53 cell lines) were cultured in RPMI medium with 10% heat-inactivated fetal calf serum, 2 mM glutamine, and 0.6% Pen-Strep at 37°C in a humidified atmosphere with 5% CO2. 5-FU was purchased from Amersham Biosciences, England. HCT116 parental and resistant cells were seeded out at a density of 1.0 × 105 cells per ml. in 6-well plates for cell cycle and apoptosis assays, in 25 cm2 flasks for 5-FU incorporation measurements, and 75 cm2 flasks for gene expression analyses. 770 μM 5-FU was added to the media 24 hours after seeding. Cells were harvested by trypsinization or scraping at 0, 8, and 24 hours after addition of 5-FU to the culture medium. Control wells received no 5-FU. For gene expression analyses, media was aspirated from exponentially-growing parental and resistant HCT116 cell cultures, at 0 hours, 8 hours and 24 hours following addition of 770 μM 5-FU. Control cell cultures (without 5-FU) were also harvested at the same timepoints. Monolayers were harvested by scraping and the cells frozen at -80°C until used for RNA extraction.

Incorporation of 5-FU into DNA

HCT116 parental and resistant cells were seeded out at a density of 1.0 × 105 cells per ml. in 25 cm2 flasks. Cells were exposed to 5-FU for 24 hours as for the other assays, except that the 5-FU solution contained 425 nM of [6-3H]5-FU (Moravek Biochemicals Inc., Brea, CA). Control wells received no 5-FU. Cells were harvested by scraping at 8 and 24 hours after addition of 5-FU to the culture medium, and frozen at -80°C until used for DNA extraction. DNA was extracted using standard phenol:chloroform:isopropyl alcohol procedures, precipitated with 7.5 M ammonium acetate and absolute ethanol, washed with absolute ethanol, air-dried and then dissolved in Tris-EDTA buffer, pH 8.0. DNA concentrations were measured using absorbance spectrometry. DNA samples were mixed into scintillation fluid and measured in a Tri-carb Packard liquid scintillation counter (Packard Instrument Co, Meriden, CT). Results are expressed as the ratio of disintegrations per minute (dpm): μg DNA.

Cell counts

Trypsinized cell suspensions were counted using a standard Trypan Blue viability assay. Cell counts were performed at 0, 8, and 24 hours following addition of 5-FU to the medium. For recovery assays, cell counts were also done at successive 24-hour intervals until the cells had regained exponential growth. After cell counting, the same cell suspensions were then fixed in 80% ethanol for subsequent cell cycle analyses.

Cell cycle analyses and quantification of apoptosis

Trypsinized cell suspensions were fixed in 80% ethanol. The samples were then placed at -20°C until cell cycle analysis. Nuclei were isolated from fixed cell suspensions, stained with propidium iodide (50 μg/ml), and samples analyzed for DNA content using a FACSCalibur laser flow cytometer (Becton Dickinson Immunocytometry Systems, San Jose, CA). Pulse-processed fluorescence signals were used to exclude doublets and aggregates from analyses. Ten thousand events were acquired for each sample. Percentages of cells in the G1, S, and G2M phases of the cell cycle were quantified using WinCycle software (Phoenix Flow Systems, San Diego, CA). Quantification of 5-FU-induced apoptosis during treatment and recovery periods in each cell line was done using the sub-G1 peaks from the cell cycle analyses measured during these periods.

Mitotic cell discrimination

Percentages of mitotic cells in control and 5-FU-treated cell cultures were determined using a flow cytometric method to discriminate mitotic cells as described previously [21]. Trypsinized cell suspensions were centrifuged at 1000 rpm for 5 minutes, washed once with PBS, and resuspended in 750 μl of a cooled detergent buffer (0.1% NP40, 6.5 mM Na2PO4, 1.5 mM KH2PO4, 2.7 mM KCl, 137 mM NaCl, 0.5 mM EDTA, pH7.2). After 5 min. on ice, the cells were fixed by adding 250 μl 4% formaldehyde to give a final concentration of 1%, mixed well, and allowed to fix for a minimum of 1 hr. on ice. Samples were then centrifuged at 1200 rpm for 5 minutes and the pellets resuspended in the detergent buffer containing 5 μg/ml propidium iodide and 100 μg/ml RNaseA. Samples were analyzed on a FACSCalibur laser flow cytometer and percentages of mitotic cells were measured using correlated DNA content/forward scatter distributions.

Microarray hybridization and data analysis

RNA isolation, preparation of Cy3- and Cy5- fluorescently-labeled cDNA samples, and subsequent hybridization to 13 K microarrays were done as described previously [22]. Thirty micrograms total RNA of control and drug-treated cells were used for the Cy3- and Cy5-labeled samples, respectively. The 13 K cDNA microarrays were prepared at the Radiumhospital microarray core facility, and information about them can be found at their website [23]. Hybridized slides were scanned using a Scan Array 4000 laser scanner at 10 μm resolution (Packard BioChip Technologies, Billerica, MA). Spot and background intensities, and the standard deviations of these, were quantified using Quantarray software (Packard BioChip Technologies). Bad spots and regions with high unspecific binding of dye were manually flagged and excluded from the analysis. Background-subtracted intensities less than two times the standard deviation of the local background were assigned this value to avoid zero or negative values in the ratio calculations. Weak spots with background-subtracted intensity less than two times the standard deviation of the local background in both channels were excluded. Total intensity normalization of the data was performed [24]. Genes in the 5-FU-treated HCT116 cell lines that had two-fold expression level changes (signal log2 ratios ≥ 1 or ≤ -1) relative to corresponding untreated controls at 8 hours or 24 hours were scored as up-regulated or down-regulated respectively as a result of drug treatment. At the 8 hour timepoint following 5-FU addition, a total of 88, 99, and 10 genes were scored as altered in HCT116 parental, ContinB, and ContinD cells, respectively. At 24 hours, these numbers had increased to 218, 323, and 89 for the ratios) for the same cell lines. A text-tab-delimited file of all gene expression data (log2 ratios) for the 5-FU-treated parental and drug-resistant HCT116 cell lines (relative to their respective untreated controls) is available upon request. Gene expression data was sifted using GenMapp version 2.0 (Gene MicroArray Pathway Profiler) software [25]. Use of this program facilitated an immediate and comparative overview of genes scored as up-regulated or down-regulated (signal log2 ratios ≥ 1 or ≤ -1, respectively) on specific pathways in response to 5-FU treatment in parental and 5-FU-resistant HCT116 cells. We focused on altered genes located on DNA damage stimulus response, cell cycle (general regulation, S phase and M phase regulation) pathways and apoptosis regulatory pathways.

Real-time RT-PCR

Expression levels for 2 genes, GADD45A and CDKN1A were determined by real-time RT-PCR for HCT116 parental, ContinB, and ContinD treated and untreated control cells at all treatment timepoints using Taqman Gene Expression Assays (Applied Biosystems, Foster City, CA). 200 ng of total RNA was subjected to real time RT-PCR using an ABI PRISM Sequence Detection System following manufacturer protocols, in order to confirm the 13 K microarray results. Primers are available upon request. The 18S gene was used as an endogenous control for equal amounts of RNA used.

Western analyses

Scraped cell suspensions including floating cells that had loosened from the monolayer during the course of 5-FU treatment were centrifuged and the pellets heated in standard Laemmli buffer containing PMSF. Protein concentrations were quantified (BioRad, Hercules, CA), and protein samples (15 μg) and Precision Protein molecular weight standards (6.5 μg, BioRad) were separated by SDS-PAGE (10% or 12% gels) and transferred to PVDF membranes (BioRad). Western blotting was performed using mouse monoclonals against human p21WAF1 and p53 (clones EA10 and Pab1801, respectively, Calbiochem, San Diego, CA), MYC (clone 6E10, Cambridge Research Biochemicals, USA), GADD45A (C-4, Santa Cruz Biotechnology, San Diego, CA) and actin (C-2, Santa Cruz Biotechnology – used as a loading control). An amplified alkaline phosphatase staining procedure (BioRad) was used to detect the separated proteins. Expression levels were quantified using UnScanIt gel software version 5.1 for Windows (Silk Scientific Inc., Orem, Utah).

Authors' contributions

PMD conceived of and designed the study, carried out the 5-FU incorporation assays, mitotic cell discrimination analyses, apoptosis analyses, and gene expression analyses. DHS performed the microarray hybridizations. KLK was responsible for the cell culture work and performed the cell cycle analyses and Western analyses. TS supervised the microarray work and participated in the gene expression analyses. All authors read and approved the final manuscript.
  23 in total

Review 1.  Microarray data normalization and transformation.

Authors:  John Quackenbush
Journal:  Nat Genet       Date:  2002-12       Impact factor: 38.330

Review 2.  Targeting the checkpoint kinases: chemosensitization versus chemoprotection.

Authors:  Bin-Bing S Zhou; Jiri Bartek
Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

3.  Response of malignant B lymphocytes to ionizing radiation: gene expression and genotype.

Authors:  Heidi Lyng; Kirsti S Landsverk; Elin Kristiansen; Paula M DeAngelis; Anne H Ree; Ola Myklebost; Eivind Hovig; Trond Stokke
Journal:  Int J Cancer       Date:  2005-07-20       Impact factor: 7.396

Review 4.  Regulation of the G2/M transition by p53.

Authors:  W R Taylor; G R Stark
Journal:  Oncogene       Date:  2001-04-05       Impact factor: 9.867

5.  Molecular downstream events and induction of thymidylate synthase in mutant and wild-type p53 colon cancer cell lines after treatment with 5-fluorouracil and the thymidylate synthase inhibitor raltitrexed.

Authors:  G J Peters; B van Triest; H H Backus; C M Kuiper; C L van der Wilt; H M Pinedo
Journal:  Eur J Cancer       Date:  2000-05       Impact factor: 9.162

Review 6.  Cell cycle-mediated drug resistance: an emerging concept in cancer therapy.

Authors:  M A Shah; G K Schwartz
Journal:  Clin Cancer Res       Date:  2001-08       Impact factor: 12.531

7.  p53 and DNA damage-inducible expression of the xeroderma pigmentosum group C gene.

Authors:  Shanthi Adimoolam; James M Ford
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-19       Impact factor: 11.205

Review 8.  Induction of thymidylate synthase as a 5-fluorouracil resistance mechanism.

Authors:  G J Peters; H H J Backus; S Freemantle; B van Triest; G Codacci-Pisanelli; C L van der Wilt; K Smid; J Lunec; A H Calvert; S Marsh; H L McLeod; E Bloemena; S Meijer; G Jansen; C J van Groeningen; H M Pinedo
Journal:  Biochim Biophys Acta       Date:  2002-07-18

9.  Molecular characterizations of derivatives of HCT116 colorectal cancer cells that are resistant to the chemotherapeutic agent 5-fluorouracil.

Authors:  Paula M de Angelis; Bjørg Fjell; Katherine L Kravik; Terje Haug; Siv H Tunheim; Wenche Reichelt; Marzieh Beigi; Ole Petter Clausen; Eivind Galteland; Trond Stokke
Journal:  Int J Oncol       Date:  2004-05       Impact factor: 5.650

10.  Characterization of p53 wild-type and null isogenic colorectal cancer cell lines resistant to 5-fluorouracil, oxaliplatin, and irinotecan.

Authors:  John Boyer; Estelle G McLean; Somaiah Aroori; Peter Wilson; Andrea McCulla; P Declan Carey; Daniel B Longley; Patrick G Johnston
Journal:  Clin Cancer Res       Date:  2004-03-15       Impact factor: 12.531

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  77 in total

1.  ZRX1, the first EGFR inhibitor-capecitabine based combi-molecule, requires carboxylesterase-mediated hydrolysis for optimal activity.

Authors:  Maria Ait-Tihyaty; Zakaria Rachid; Anne-Laure Larroque-Lombard; Bertrand J Jean-Claude
Journal:  Invest New Drugs       Date:  2013-12       Impact factor: 3.850

2.  Shape in migration: quantitative image analysis of migrating chemoresistant HCT-8 colon cancer cells.

Authors:  Alessia Pasqualato; Vittorio Lei; Alessandra Cucina; Simona Dinicola; Fabrizio D'Anselmi; Sara Proietti; Maria Grazia Masiello; Alessandro Palombo; Mariano Bizzarri
Journal:  Cell Adh Migr       Date:  2013-10-22       Impact factor: 3.405

3.  Overexpression of ANCCA/ATAD2 in endometrial carcinoma and its correlation with tumor progression and poor prognosis.

Authors:  Pan Shang; Fanling Meng; Yunduo Liu; Xiuwei Chen
Journal:  Tumour Biol       Date:  2015-05-02

4.  Saccharomyces cerevisiae Yta7 regulates histone gene expression.

Authors:  Angeline Gradolatto; Richard S Rogers; Heather Lavender; Sean D Taverna; C David Allis; John D Aitchison; Alan J Tackett
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

5.  MicroRNA signature in massive macronodular adrenocortical disease and implications for adrenocortical tumourigenesis.

Authors:  Eirini I Bimpaki; Dimitrios Iliopoulos; Andreas Moraitis; Constantine A Stratakis
Journal:  Clin Endocrinol (Oxf)       Date:  2009-10-22       Impact factor: 3.478

6.  Chemosensitization of cancer cells via gold nanoparticle-induced cell cycle regulation.

Authors:  Megan A Mackey; Mostafa A El-Sayed
Journal:  Photochem Photobiol       Date:  2014-02-11       Impact factor: 3.421

7.  Multi-Domain Photopatterned 3D Tumor Constructs in a Micro-Physiological System for Analysis, Quantification, and Isolation of Infiltrating Cells.

Authors:  Shiny A P Rajan; Aleksander Skardal; Adam R Hall
Journal:  Adv Biosyst       Date:  2020-02-25

8.  High glucose modulates antiproliferative effect and cytotoxicity of 5-fluorouracil in human colon cancer cells.

Authors:  Yi-Shing Ma; I-Ping Yang; Hsiang-Lin Tsai; Ching-Wen Huang; Suh-Hang Hank Juo; Jaw-Yuan Wang
Journal:  DNA Cell Biol       Date:  2013-11-27       Impact factor: 3.311

9.  Predictive markers for the response to 5-fluorouracil therapy in cancer cells: Constant-field gel electrophoresis as a tool for prediction of response to 5-fluorouracil-based chemotherapy.

Authors:  E M Saleh; R A El-Awady; N Anis
Journal:  Oncol Lett       Date:  2012-10-11       Impact factor: 2.967

10.  Onconase responsive genes in human mesothelioma cells: implications for an RNA damaging therapeutic agent.

Authors:  Deborah A Altomare; Susanna M Rybak; Jianming Pei; Jacob V Maizel; Mitchell Cheung; Joseph R Testa; Kuslima Shogen
Journal:  BMC Cancer       Date:  2010-02-05       Impact factor: 4.430

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