Literature DB >> 23982883

XPF protein levels determine sensitivity of malignant melanoma cells to oxaliplatin chemotherapy: suitability as a biomarker for patient selection.

Stephanie B Hatch1, Lonnie P Swift, Simona Caporali, Rebecca Carter, Esme J Hill, Thomas P MacGregor, Stefania D'Atri, Mark R Middleton, Peter J McHugh, Ricky A Sharma.   

Abstract

As the options for systemic treatment of malignant melanoma (MM) increase, the need to develop biomarkers to identify patients who might benefit from cytotoxic chemotherapy becomes more apparent. In preclinical models, oxaliplatin has activity in cisplatin-resistant cells. In this study, we have shown that oxaliplatin forms interstrand crosslinks (ICLs) in cellular DNA and that loss of the heterodimeric structure-specific endonuclease XPF-ERCC1 causes hypersensitivity to oxaliplatin in mammalian cells. XPF deficiency resulted in late S-phase arrest and persistence of double-strand breaks following oxaliplatin treatment. In a panel of 12 MM cell lines, oxaliplatin sensitivity correlated with XPF and ERCC1 protein levels. The knockdown of ERCC1 and XPF protein levels by RNA interference increased sensitivity of cancer cells to oxaliplatin; overexpression of exogenous ERCC1 significantly decreased drug sensitivity. Following immunohistochemical optimization, XPF protein levels were quantified in MM tissue samples from 183 patients, showing variation in expression and no correlation with prognosis. In 57 patients with MM treated with cisplatin or carboplatin, XPF protein levels did not predict the likelihood of clinical response. We propose that oxaliplatin should not be discarded as a potential treatment for MM on the basis of the limited activity of cisplatin in unselected patients. Moreover, we show that XPF-ERCC1 protein levels are a key determinant of the sensitivity of melanoma cells to oxaliplatin in vitro. Immunohistochemical detection of XPF appears suitable for development as a tissue biomarker for potentially selecting patients for oxaliplatin treatment in a prospective clinical trial.
© 2013 UICC.

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Keywords:  DNA repair; cell cycle; cytotoxic chemotherapy; tissue biomarker

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Year:  2013        PMID: 23982883      PMCID: PMC4233955          DOI: 10.1002/ijc.28454

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


In the United Kingdom, malignant melanoma (MM) is the fifth most common cancer and mortality rates have increased overall since the early 1970s, with increasing incidence masking improvements in diagnosis and treatment.1 This is representative of the global trend in fair-skinned populations around the world, in which the incidence of cutaneous MM has been increasing at a steady rate for decades.2 Although melanoma that has spread to distant sites is rarely curable, both ipilimumab and vemurafenib have demonstrated an improvement in progression-free (PFS) and overall survival (OS) in international, multicenter, randomized trials in patients with unresectable or advanced disease.3,4 Ipilimumab is a recombinant human antibody against the cytotoxic T-lymphocyte antigen (anti-CTLA-4), which is effective in only a minority of patients. Vemurafenib is a selective BRAF V600E kinase inhibitor, and its indication is limited to the 50% patients with unresectable or metastatic melanoma with a demonstrated BRAF V600E mutation. Resistance to kinase inhibitors develops within months5; although combination of these agents,6 or combination with cytotoxic chemotherapy7 may extend overall survival. It is therefore clear that cytotoxic chemotherapy remains an important option for the treatment for patients with MM. The objective response rate to dacarbazine (DTIC) and the nitrosoureas, carmustine (BCNU) and lomustine, is ≈10–20%.8 Other agents with modest single-agent activity include vinca alkaloids, cisplatin, and taxanes.9 Tests for selecting patients for particular cytotoxic chemotherapies do not currently exist, but the successful development of validation of such tests could significantly improve objective response rates for patients with MM.

What’s new?

With options for systemic treatment of malignant melanoma (MM) on the rise, there is an increasing need to develop biomarkers for patient selection. To that end, this study explored the possibility of a biomarker to improve objective response rates to the drug oxaliplatin. The study reveals a mechanism by which mammalian cells are rendered hypersensitive to oxaliplatin that centers around the loss of endonuclease XPF-ERCC1. Sensitivity to oxaliplatin was directly related to XPF and ERCC1 protein levels. The findings indicate that XPF may be a suitable biomarker for MM patient selection for oxaliplatin therapy. Elevated expression of DNA repair genes has been reported in primary melanomas that subsequently went on to metastasize when compared with nonrecurrent primary tumors.10 This increased expression could contribute to clinical resistance shown by melanoma to conventional DNA-damaging chemotherapeutics such as dacarbazine and cisplatin. Consistent with this hypothesis, levels of certain DNA repair proteins may be prognostic biomarkers in patients with MM, e.g. XRCC5 (Ku80), required for DNA double-strand break repair, has been associated with significantly worse survival.11 Although the response rate of colorectal cancer to cisplatin chemotherapy is too low to justify its widespread clinical use, oxaliplatin (1R, 2R-diaminocyclohexane oxalatoplatinum(II)) demonstrated significant activity against MM and colorectal cancer cell lines in anticancer drug screening carried out by the US National Cancer Institute, including cell lines resistant to cisplatin.12–14 These findings led clinical investigators to perform a clinical trial of the combination of oxaliplatin, docetaxel and sargramostim (GM-CSF) in patients with previously treated MM.15 This small clinical study demonstrated limited clinical activity, but the investigators did not consider any means of patient selection to improve objective response rates. A further study of oxaliplatin, bevacizumab and sorafenib in patients with MM has not yet been reported in full.16 Based on preclinical reports of the activity of oxaliplatin in treating MM, we wished to study the mechanism of action of the drug in MM cells and in cells with specific DNA repair defects. Our results suggest that oxaliplatin forms biologically relevant interstrand crosslinks (ICLs) in cellular DNA and that loss of the heterodimeric structure-specific endonuclease, XPF-ERCC1, determines the sensitivity of MM cells to oxaliplatin. Furthermore, we develop XPF staining by immunohistochemistry (IHC) as a clinical test to be validated for patient selection in clinical trials of oxaliplatin treatment in patients with MM.

Material and Methods

In vitro detection of drug-DNA crosslinks was performed as previously described.17 The plasmid pYes 2.0 (Life Technologies) was linearized with NotI and 3′-end-labeled with [α-32P]dGTP or [α-32P]dCTP in the presence of the Klenow fragment of Escherichia coli DNA polymerase I. Unincorporated label was removed using G-50 ProbeQuant columns and the labeled DNA was re-suspended in salmon sperm DNA in TE buffer. End-labeled DNA (25 µM bp) was reacted with drugs at 37°C for 1 hr in PBS. Unreacted drugs were extracted with phenol and chloroform, and the DNA was precipitated in ethanol, heat denatured (to separate non-crosslinked DNA from crosslinked DNA) then separated in an 0.8% agarose gel (1× TAE buffer [40 mM Tris acetate, 1 mM EDTA]) at 45 V for 16 hr. Gels were analyzed on a Typhoon imaging instrument (GE Healthcare). The Comet assay was performed as previously described.18 Samples were divided into two with one half being irradiated with 10 Gy X-irradiation. Samples were mixed with low melting temperature agarose and set on microscope slides, lysed, washed and subjected to electrophoresis in alkali conditions. DNA was stained and the tail moment was measured for 50 comets per slide using Komet Assay Software (Kinetic Imaging, Liverpool, UK). The cell lines used in this study were primary cell culture derived from patients.19,20 Protein extracts from 12 MM cell lines were probed for XPF and ERCC1 levels by Western blotting. Whole-cell lysates were collected in modified RIPA lysis buffer [50 mM Tris pH 7.4, 150 mM NaCl, 1% NP-40, 1 mM EDTA, 0.1% SDS plus 1× protease inhibitor cocktail (Roche), 1 mM DTT, 1:100 phosphatase inhibitor cocktail 2 (Sigma Aldrich)] and equal amounts of total protein were loaded and run under standard conditions. Approval for this project was obtained from Oxfordshire Research Ethics Committee C for research involving human tissue. Immunohistochemical staining using the Leica Bond-Max machine at 1:200 dilution with antigen retrieval using the standard pH 9.0 buffer for 10 min. XPF nuclear staining was scored according to the intensity of the staining (0 = no staining, 1 = weak staining, 2 = moderate staining, 3 = strong staining) and the percentage of nuclei staining (0 = 0%, 1 = <10%, 2 = 10–50%, 3 = 50–80%, 4 = >80%) by two independent investigators who were blinded to the clinical and pathological characteristics of the patients. A consensus score was agreed for intensity score and percentage score for each core and a composite score was derived (ranging from 0 to 12) using the product of the two scores. Tissue microarrays were prepared in Oxford, UK (183 patients) and the Karolinska Institute, Stockholm, Sweden (57 patients). The median age of patients at the time of MM diagnosis was 58 years, 139 of whom had cutaneous melanoma, the remainder having other primary sites (head and neck 33, acral 7, mucosal 2, unknown 2). For the 183-patient cohort, the majority of patients had nonmetastatic disease at the time of diagnosis (Stage 1 = 29 patients, Stage 2 = 81 patients, Stage 3 = 56 patients, Stage 4 = 8 patients, not known = 9 patients). None of the patients in this cohort received cisplatin, carboplatin or oxaliplatin chemotherapy. A cutoff for median composite Score of 6 was used to subclassify the cores as having low XPF expression (0–6) or high XPF expression.7–12 Statistical analysis was performed using SPSS version 20 (specific tests stated in the figure legends).

Results and Discussion

Oxaliplatin forms ICLs in mammalian cells

Using an in vitro assay, the extent of ICL formation by oxaliplatin and cisplatin crosslinks was determined (Fig. 1). Oxaliplatin was less efficient than cisplatin at crosslinking DNA, requiring approximately six times the concentration of drug to form the same level of crosslinks (Fig. 1). These results are consistent with a study in H460 tumor cells in which cisplatin treatment produced more crosslinks in DNA than equimolar concentrations of oxaliplatin, measured by modification of the alkaline Comet assay.22 Oxaliplatin inhibits DNA synthesis more than cisplatin, and kills a greater number of cells per crosslink formed.23,24
Figure 1

Oxaliplatin forms ICLs in DNA in vitro; cells deficient in XPF or ERCC1 are hypersensitive to the drug and arrest in the S-phase of the cell cycle. (a) In vitro detection of drug-DNA crosslinks. The migration of DNA as single-stranded DNA (SS DNA) indicates no DNA crosslinks formed compared to crosslinked DNA that migrates as double-stranded DNA (DS DNA). (b) Modified Comet assay to measure formation of drug-DNA crosslinks. The parental Chinese Hamster Ovary cell line AA8 was treated with 250 µM oxaliplatin for 4 hr and then treated with ionizing radiation (IR), as previously described.18 The initial Olive Comet tail moment (OTM) observed in cells not treated (NT) with oxaliplatin indicates IR-induced DNA breaks. Following oxaliplatin treatment, drug-DNA crosslinks are formed which retard the IR-induced Comet tail. The Comet tail returns to control (NT) levels over this time period consistent with processing and ICL unhooking.18 Bars represent three independent experiments and error bars show SD. (c) Chinese Hamster Ovary repair mutant cell lines AA8 (WT ), UV23 (XPB ), UV135 (XPG ), UV40 (FancG ), UV96 (ERCC1 ) and UV47 (XPF ) were seeded at a density of 1000 cells per 100 mm Petri dish in 15 ml of complete media. Cells were allowed to attach overnight before being treated with various concentrations of oxaliplatin and incubated for 8 days to allow colonies to form. Cells were fixed and stained as previously described.21 Colonies (being greater than 50 cells) were counted on an Oxford Optronic Col Count Instrument. (d) CHO parental (AA8) and XPF repair mutant (UV47) cells were treated with 10 μM oxaliplatin for 2 hr and then analyzed, at the indicated times after treatment, for cell cycle distribution using the BrdU incorporation method and reagents as previously described.21 The y-axis indicates incorporation of BrdU as a measure of active synthesis where the x-axis is a measure of DNA content. G1, S and G2-phase populations are highlighted in the parental 0 hr plot where the S-phase population is defined as an early through to a late being the population shift from the left through to the right of the designated region.

Oxaliplatin forms ICLs in DNA in vitro; cells deficient in XPF or ERCC1 are hypersensitive to the drug and arrest in the S-phase of the cell cycle. (a) In vitro detection of drug-DNA crosslinks. The migration of DNA as single-stranded DNA (SS DNA) indicates no DNA crosslinks formed compared to crosslinked DNA that migrates as double-stranded DNA (DS DNA). (b) Modified Comet assay to measure formation of drug-DNA crosslinks. The parental Chinese Hamster Ovary cell line AA8 was treated with 250 µM oxaliplatin for 4 hr and then treated with ionizing radiation (IR), as previously described.18 The initial Olive Comet tail moment (OTM) observed in cells not treated (NT) with oxaliplatin indicates IR-induced DNA breaks. Following oxaliplatin treatment, drug-DNA crosslinks are formed which retard the IR-induced Comet tail. The Comet tail returns to control (NT) levels over this time period consistent with processing and ICL unhooking.18 Bars represent three independent experiments and error bars show SD. (c) Chinese Hamster Ovary repair mutant cell lines AA8 (WT ), UV23 (XPB ), UV135 (XPG ), UV40 (FancG ), UV96 (ERCC1 ) and UV47 (XPF ) were seeded at a density of 1000 cells per 100 mm Petri dish in 15 ml of complete media. Cells were allowed to attach overnight before being treated with various concentrations of oxaliplatin and incubated for 8 days to allow colonies to form. Cells were fixed and stained as previously described.21 Colonies (being greater than 50 cells) were counted on an Oxford Optronic Col Count Instrument. (d) CHO parental (AA8) and XPF repair mutant (UV47) cells were treated with 10 μM oxaliplatin for 2 hr and then analyzed, at the indicated times after treatment, for cell cycle distribution using the BrdU incorporation method and reagents as previously described.21 The y-axis indicates incorporation of BrdU as a measure of active synthesis where the x-axis is a measure of DNA content. G1, S and G2-phase populations are highlighted in the parental 0 hr plot where the S-phase population is defined as an early through to a late being the population shift from the left through to the right of the designated region. Using the modified Comet assay, we treated Chinese Hamster ovary (CHO) cells with oxaliplatin and measured ICL formation and repair following ionizing radiation (IR)-induced DNA breaks (Fig. 1). Following oxaliplatin treatment, drug-DNA crosslinks are formed which retard the IR-induced Comet tail. In our experiments, the Comet tail returned to control levels over 36 hr, a timescale consistent with ICL processing and unhooking.18

XPF deficiency is associated with hypersensitivity to oxaliplatin and S-phase arrest

To identify key DNA repair proteins that cause hypersensitivity to oxaliplatin chemotherapy, we screened CHO cell lines with mutations in the NER proteins XPB, XPG, XPF, ERCC1 and FancG by clonogenic assay. As shown in Figure 1, XPF and ERCC1 mutant cells were ≈30 times and 15 times, respectively, more sensitive to oxaliplatin than parental cells, with IC50 values of ≈40 nM for XPF mutant cells and 80 nM for ERCC1 mutant cells. The pattern of relative sensitivity observed for mutant XPF and ERCC1 CHO cell lines observed in Figure 1 was consistent with that observed using crosslinking agents such as nitrogen mustard (HN2) and mitomycin C (MMC), which form ICLs in DNA.18,25,26 ICLs effectively block replication and transcription and their repair requires proteins from multiple DNA repair pathways, including NER, BER, double-strand break (dsb) repair and the Fanconi Anemia repair pathway.27 Processing of ICLs requires initial nicking incisions to release the crosslinked nucleotides on one strand in a process termed “unhooking.” The current consensus is that unhooking involves the XPF-ERCC1 heterodimeric structure-specific endonuclease.28 On the basis of these observations, we sought to find further biological evidence that ICLs were formed in cells following treatment with oxaliplatin. We treated CHO cells with oxaliplatin for 2 hr and subsequently studied cell cycle progression by flow cytometry using the bromo-deoxyuridine (BrdU) method. Twenty-four hours after treatment, whereas wild-type cells re-entered the normal cell cycle, as shown in Figure 1, cells deficient in XPF demonstrated persistent late S-phase arrest. This finding was consistent with the hypothesis that the cells deficient in XPF had difficulty coping with lesions created in DNA by oxaliplatin, such as ICLs.

XPF deficiency results in persistence of double-strand breaks following oxaliplatin treatment

During replication-coupled ICL repair, DNA dsbs form that are ultimately repaired by translesion synthesis and homologous recombination (HR). Previous studies have suggested that rodent and human cells lacking ERCC1-XPF accumulate replication-associated dsbs when treated with MMC or HN2.18,27,29 We therefore studied the kinetics of dsb formation and repair following oxaliplatin treatment of cells deficient in XPF. CHO cells proficient and deficient in XPF were treated with oxaliplatin and nuclear foci of γH2AX and 53BP1 proteins were quantified (Figs. 2–2). Both γH2AX and 53BP1 associate early with break-ends during the dsb response and are well-established markers of dsb induction. Consistent with the hypothesis that oxaliplatin induces ICLs that have biological consequences for mammalian cells, XPF-deficient cells had 9.7-fold (γH2AX, p ≤ 0.001) or 12.9-fold (53BP1, p ≤ 0.01) higher levels of dsbs 48 hr after oxaliplatin treatment (Figs. 1 and 1) measured by both indices, with p values determined by two-tailed, paired t-test. Collectively, these data clearly demonstrate for the first time in mammalian cells that oxaliplatin treatment results in the creation of dsbs and that deficiency of XPF results in significant persistence of unrepaired dsbs.
Figure 2

In the absence of XPF, oxaliplatin treatment causes persistence of double-strand breaks in mammalian cells. (a) CHO cells (10,000) were treated with 10 µM oxaliplatin (OX) for 2 hr in a 96-well plate and fixed in 4% paraformaldehyde at various time points, blocked with 0.1% Triton X-100 and 1% bovine serum albumin (BSA) in PBS before being stained for γH2AX (b) and 53BP1 (c) foci (1:2000 for γH2AX and 1:1000 for 53BP1 in 1% BSA) overnight. A 1:500 dilution of Alexa fluor 488-labeled secondary antibody was diluted in 1% BSA in PBS and incubated for 1 hr at room temperature, and then cells were stained with a 1:2000 dilution of 1 mg/ml DAPI (Sigma Aldrich) for 10 min at RT before being analyzed on IN Cell Analyser 1000 (GE Life Sciences), counting cells with more than 8 foci per nucleus. Data (b,c) are plotted versus time for WT DMSO (), WT 10 µM oxaliplatin (), XPF DMSO () and XPF 10 µM oxaliplatin (). (n = 3, error bars = standard deviation).

In the absence of XPF, oxaliplatin treatment causes persistence of double-strand breaks in mammalian cells. (a) CHO cells (10,000) were treated with 10 µM oxaliplatin (OX) for 2 hr in a 96-well plate and fixed in 4% paraformaldehyde at various time points, blocked with 0.1% Triton X-100 and 1% bovine serum albumin (BSA) in PBS before being stained for γH2AX (b) and 53BP1 (c) foci (1:2000 for γH2AX and 1:1000 for 53BP1 in 1% BSA) overnight. A 1:500 dilution of Alexa fluor 488-labeled secondary antibody was diluted in 1% BSA in PBS and incubated for 1 hr at room temperature, and then cells were stained with a 1:2000 dilution of 1 mg/ml DAPI (Sigma Aldrich) for 10 min at RT before being analyzed on IN Cell Analyser 1000 (GE Life Sciences), counting cells with more than 8 foci per nucleus. Data (b,c) are plotted versus time for WT DMSO (), WT 10 µM oxaliplatin (), XPF DMSO () and XPF 10 µM oxaliplatin (). (n = 3, error bars = standard deviation).

XPF protein levels correlate with sensitivity of MM cells to oxaliplatin

If XPF-ERCC1 protein levels are a key determinant of oxaliplatin sensitivity in human cancer cells, one might expect oxaliplatin sensitivity to correlate with constitutive levels of these repair proteins. We measured XPF and ERCC1 protein levels in whole cell lysates from 12 cell lines derived from patients with MM and studied correlations with oxaliplatin IC50 values measured by clonogenic assay. XPF protein levels varied approximately threefold across the cell lines (Fig. 3) and, as one would expect for binding partners, there was a strong correlation between both XPF and ERCC1 protein expression across the 12 cell lines (r = 0.749, p < 0.005). Importantly, as shown in Figure 3, a statistically significant correlation was observed between oxaliplatin IC50 values and protein expression of either XPF (r = 0.71, p < 0.01) or ERCC1 (r = 0.79, p < 0.003). Using exactly the same experimental design to treat the cell lines with cisplatin demonstrated that this significant correlation only applied to oxaliplatin, not to cisplatin (Supporting Information Figure 1).
Figure 3

Significant correlation between protein levels of XPF or ERCC1 and oxaliplatin sensitivity in human MM cells. (a) Protein extracts from 12 MM cell lines were probed for XPF and ERCC1 levels by Western blotting. Oxaliplatin IC50 values were determined by clonogenic assays. Briefly, melanoma cells were exposed to graded concentrations of oxaliplatin for 24 hr. After 10–11 days of incubation in the absence of the drug, colonies were fixed and stained with crystal violet for visualization. Only those colonies containing 50 or more cells were scored as survival colonies. IC50 values were calculated on the regression line in which colony formation efficiency was plotted against the logarithm of drug concentration. Protein expression levels were quantified by Odyssey image analysis (Li-cor Biosciences, Cambridge, UK) for ERCC1 (b) and XPF (c), corrected for tubulin expression and plotted against oxaliplatin IC50 values determined in the cell lines and the correlation measured (n = 3). Oxaliplatin IC50 values were determined by clonogenic assays.

Significant correlation between protein levels of XPF or ERCC1 and oxaliplatin sensitivity in human MM cells. (a) Protein extracts from 12 MM cell lines were probed for XPF and ERCC1 levels by Western blotting. Oxaliplatin IC50 values were determined by clonogenic assays. Briefly, melanoma cells were exposed to graded concentrations of oxaliplatin for 24 hr. After 10–11 days of incubation in the absence of the drug, colonies were fixed and stained with crystal violet for visualization. Only those colonies containing 50 or more cells were scored as survival colonies. IC50 values were calculated on the regression line in which colony formation efficiency was plotted against the logarithm of drug concentration. Protein expression levels were quantified by Odyssey image analysis (Li-cor Biosciences, Cambridge, UK) for ERCC1 (b) and XPF (c), corrected for tubulin expression and plotted against oxaliplatin IC50 values determined in the cell lines and the correlation measured (n = 3). Oxaliplatin IC50 values were determined by clonogenic assays. We then transfected a low-expressing MM cell line with a vector containing ERCC1. This experiment demonstrated that ectopic expression of ERCC1 into a human MM cell line could also stabilize XPF (Fig. 4) and that it significantly increased the oxaliplatin IC50 (p ≤ 0.01 by two-tailed, paired t-test) as shown in Figure 4. Furthermore, we depleted XPF and ERCC1 protein levels by RNA interference in two MM cell lines, CN-Mel and SK-Mel-28 (Figs. 4–4). siRNA-mediated depletion of ERCC1 and XPF increased sensitivity to oxaliplatin by an average of 52% (p ≤ 0.01) for SK-Mel-28, and by 50% (p ≤ 0.05) for CN-Mel.
Figure 4

Attenuation of ERCC1 or XPF levels in cells alters sensitivity to oxaliplatin treatment. (a) The plasmid pEf6-V5-His-ERCC1, carrying the hamster ERCC1 cDNA, and the pEF6-V5-His-Topo empty vector30 were stably transfected into the LCP-Mel-A1 cell clone, obtained from the melanoma cell line LCP-Mel by limiting dilution. Blasticidin (Invitrogen) was used at 3 mg/ml to maintain expression of the vectors. To assess the expression of ERCC1 and XPS in the transfected clones, Co-IP of whole-cell lysates were collected (50 mM Tris pH 7.4, 150 mM NaCl, 1% NP-40, 0.1% SDS) and then cleared by centrifugation before incubation with antibodies (anti-XPF Abcam SPM228, Anti-hERCC1 Santa Cruz sc-17809. (b) Clonogenic assays (as described above) were used to calculate the IC50 (n = 3, error = standard deviation). (c–e) CN-Mel and SK-Mel-28 cells were mock transfected or transfected with 10 nM siERCC1 (CCCGGGTGACTGAATGTCTGA), siXPF (CTCCTTGATGCACCACGTTAA) or both or control siRNA (AllStars Negative Control siRNA) (all purchased from Qiagen) using Lipofectamine™ RNAiMAX Reagent (Invitrogen Corporation). After 72 hr of culture at 37°C, the cells were recovered for Western blot analysis of XPF and ERCC1 expression (c) and for evaluation of oxaliplatin sensitivity by clonogenic assays, as described above (d, CN-Mel; E, SK-Mel-28).

Attenuation of ERCC1 or XPF levels in cells alters sensitivity to oxaliplatin treatment. (a) The plasmid pEf6-V5-His-ERCC1, carrying the hamster ERCC1 cDNA, and the pEF6-V5-His-Topo empty vector30 were stably transfected into the LCP-Mel-A1 cell clone, obtained from the melanoma cell line LCP-Mel by limiting dilution. Blasticidin (Invitrogen) was used at 3 mg/ml to maintain expression of the vectors. To assess the expression of ERCC1 and XPS in the transfected clones, Co-IP of whole-cell lysates were collected (50 mM Tris pH 7.4, 150 mM NaCl, 1% NP-40, 0.1% SDS) and then cleared by centrifugation before incubation with antibodies (anti-XPF Abcam SPM228, Anti-hERCC1 Santa Cruz sc-17809. (b) Clonogenic assays (as described above) were used to calculate the IC50 (n = 3, error = standard deviation). (c–e) CN-Mel and SK-Mel-28 cells were mock transfected or transfected with 10 nM siERCC1 (CCCGGGTGACTGAATGTCTGA), siXPF (CTCCTTGATGCACCACGTTAA) or both or control siRNA (AllStars Negative Control siRNA) (all purchased from Qiagen) using Lipofectamine™ RNAiMAX Reagent (Invitrogen Corporation). After 72 hr of culture at 37°C, the cells were recovered for Western blot analysis of XPF and ERCC1 expression (c) and for evaluation of oxaliplatin sensitivity by clonogenic assays, as described above (d, CN-Mel; E, SK-Mel-28). These data demonstrate for the first time that modulation of XPF and ERCC1 protein levels modifies the oxaliplatin sensitivity of human melanoma cells. The results are consistent with treatment of non-small cell lung cancer, ovarian and breast cancer cells with cisplatin.31 The use of clonogenic survival endpoints in this study appear to be more sensitive than previous studies using proliferation assays to assess oxaliplatin treatment.32

Measurement of XPF protein levels in human melanoma tissue as a potential biomarker for patient selection

A current priority in translational cancer research is the development of clinical biomarkers to select patients for cytotoxic and biological anticancer therapies. It is important that candidate biomarkers are key determinants of sensitivity to the agent being studied and that the biological relationship between the biomarker and the therapeutic agent is understood. Since XPF protein levels fulfill these criteria for oxaliplatin chemotherapy, we studied the specificity, reproducibility and variability of XPF protein expression by IHC of tissue microarray samples from 183 patients with MM. We first demonstrated the specificity of the anti-XPF antibody and reproducibility of IHC staining using an automated staining system (Figs. 5 and 5). Our experiments with all commercially available anti-ERCC1 antibodies demonstrated excessive nonspecific staining of human MM tissue, so we did not proceed with the development of ERCC1 as an IHC biomarker. Having optimized anti-XPF staining, we evaluated XPF protein expression in 213 cores of MM tissue on microarrays representing 183 patients with MM not treated with platinum chemotherapy, comprising tissue from resected primary melanomas and resected lymph node metastases. On analysis of these samples, XPF protein expression was not prognostic (Fig. 5). Other clinical markers, however, that were not related to XPF protein levels, were prognostic such as thickness of the primary tumor, presence of ulceration and disease stage (HR = 1.12, 95% CI = 1.01–1.25, p = 0.03 for tumor thickness; HR = 2.24, 95% CI = 1.34–3.74, p = 0.002 for ulceration; HR = 4.91 for Stage III/IV, 95% CI = 2.17–11.12, p < 0.001).
Figure 5

Evaluation of XPF protein as a potential biomarker for sensitivity to platinum chemotherapy in paraffin-embedded human melanoma tissue. (a) Validation of anti-XPF and anti-ERCC1 antibodies for IHC on paraffin-embedded ST16 gastric carcinoma cells. Western blot showing effect of XPF and ERCC1 protein expression in ST16 cell lysates after XPF and ERCC1 knockdown using the Lipofectamine RNAiMax Reagent (Invitrogen, Carlsbad, CA; 13778-150), performed according to the manufacturer’s protocol using 10 nM of siRNA(Qiagen N.T. is nontargeting SiRNA). ST16 cell pellets were stained with antibodies against XPF (clone SPM228, Abcam, Cambridge, MA) with antigen retrieval in a water bath at 99°C, using 1 mM ethylene diaminetetraacetic acid (EDTA) buffer (pH 8.0). Primary antibody was diluted 1:100 and incubated for 2 hr at room temperature. A horseradish peroxidase based system (EnVision+; Dako, Glostrup, Denmark) was used for detection of primary antibody binding. RNAi knockdown of XPF in ST16 cells produced decreased staining for XPF when compared to a mock transfection. (b) Staining for XPF on a melanoma tissue microarray, showing a variation in the levels of these proteins. (c) Kaplan-Meier analysis of the effect of XPF expression on overall survival in 183 patients with melanoma. (d) Analysis for an association between mean XPF nuclear intensity score/mean composite score and radiological response in tissue microarrays, representing cores from 57 patients with metastatic melanoma treated with cisplatin/carboplatin chemotherapy. Primary tissues were obtained from patients with MM prior to cisplatin or carboplatin chemotherapy (cutaneous = 45 patients, ocular = 3 patients, mucosal = 2 patients, unknown primary location = 7 patients). The median nuclear intensity score (2) and median composite score (4) were used to subclassify the cores into two groups. Analysis for an association between RECIST response33 and XPF score were performed using the Pearson’s chi-square test and odds ratios were calculated in SPSS version 20. Neither nuclear intensity score (α² = 0.302, p = 0.583, OR = 1.375; 95% CI = 0.441–4.291) nor composite XPF score (α² = 0.811, p = 0.368, OR = 1.688; 95% CI = 0.538–5.294) were associated with clinical response.

Evaluation of XPF protein as a potential biomarker for sensitivity to platinum chemotherapy in paraffin-embedded human melanoma tissue. (a) Validation of anti-XPF and anti-ERCC1 antibodies for IHC on paraffin-embedded ST16 gastric carcinoma cells. Western blot showing effect of XPF and ERCC1 protein expression in ST16 cell lysates after XPF and ERCC1 knockdown using the Lipofectamine RNAiMax Reagent (Invitrogen, Carlsbad, CA; 13778-150), performed according to the manufacturer’s protocol using 10 nM of siRNA(Qiagen N.T. is nontargeting SiRNA). ST16 cell pellets were stained with antibodies against XPF (clone SPM228, Abcam, Cambridge, MA) with antigen retrieval in a water bath at 99°C, using 1 mM ethylene diaminetetraacetic acid (EDTA) buffer (pH 8.0). Primary antibody was diluted 1:100 and incubated for 2 hr at room temperature. A horseradish peroxidase based system (EnVision+; Dako, Glostrup, Denmark) was used for detection of primary antibody binding. RNAi knockdown of XPF in ST16 cells produced decreased staining for XPF when compared to a mock transfection. (b) Staining for XPF on a melanoma tissue microarray, showing a variation in the levels of these proteins. (c) Kaplan-Meier analysis of the effect of XPF expression on overall survival in 183 patients with melanoma. (d) Analysis for an association between mean XPF nuclear intensity score/mean composite score and radiological response in tissue microarrays, representing cores from 57 patients with metastatic melanoma treated with cisplatin/carboplatin chemotherapy. Primary tissues were obtained from patients with MM prior to cisplatin or carboplatin chemotherapy (cutaneous = 45 patients, ocular = 3 patients, mucosal = 2 patients, unknown primary location = 7 patients). The median nuclear intensity score (2) and median composite score (4) were used to subclassify the cores into two groups. Analysis for an association between RECIST response33 and XPF score were performed using the Pearson’s chi-square test and odds ratios were calculated in SPSS version 20. Neither nuclear intensity score (α² = 0.302, p = 0.583, OR = 1.375; 95% CI = 0.441–4.291) nor composite XPF score (α² = 0.811, p = 0.368, OR = 1.688; 95% CI = 0.538–5.294) were associated with clinical response. Finally, we wished to explore whether XPF expression might have potential value as a predictive biomarker for sensitivity to platinum therapy in patients with MM. According to our enquiries, tissue samples from melanoma patients treated with oxaliplatin have never been biobanked anywhere in the world. We therefore studied XPF protein expression by IHC of tissue microarray samples from 57 patients with MM treated with cisplatin or carboplatin containing chemotherapy for whom radiological response data from computed tomography scans were available. None of these patients received oxaliplatin chemotherapy. Two tissue cores were available for the majority of these patients and we derived mean nuclear intensity and mean composite score values for each patient to analyze the scores for a potential association with radiological response (Fig. 5). Analysis of these clinical specimens demonstrated that XPF protein expression was not predictive for clinical response to cisplatin/carboplatin chemotherapy. The staining and scoring system developed in this part of the project demonstrates the potential utility of XPF as a predictive biomarker for oxaliplatin sensitivity in patients with MM. We advocate extension of this study to a larger cohort of samples with a view to validation of XPF as a selection biomarker in clinical trials of oxaliplatin chemotherapy in patients with MM. This would involve further validation of XPF in an additional, large, independent cohort of patients with MM, a prospective study with oxaliplatin-based chemotherapy in unselected patients in which XPF expression could be performed in real time and correlated with response, and finally a prospective study in which patients would be selected for oxaliplatin chemotherapy versus alternative therapy based on XPF expression. In summary, our data suggest that oxaliplatin should not be discarded as a potential treatment for MM on the basis of the limited activity of cisplatin in unselected patients. Our aim was to develop a biomarker to identify a subset of patients that may benefit from oxaliplatin chemotherapy. We show that XPF-ERCC1 protein levels are a key determinant of sensitivity to oxaliplatin chemotherapy and that the mechanism of cytotoxicity appears to be related to ICL repair. Immunohistochemical detection of XPF appears suitable for development as a tissue biomarker for selecting patients for oxaliplatin treatment in a clinical trial. As the options for systemic treatment of MM increase, our results, if fully validated as described above, offer a means to identify patients who might benefit from the addition of oxaliplatin to combination regimens or as an additional line of therapy.
  30 in total

1.  Improved survival with vemurafenib in melanoma with BRAF V600E mutation.

Authors:  Paul B Chapman; Axel Hauschild; Caroline Robert; John B Haanen; Paolo Ascierto; James Larkin; Reinhard Dummer; Claus Garbe; Alessandro Testori; Michele Maio; David Hogg; Paul Lorigan; Celeste Lebbe; Thomas Jouary; Dirk Schadendorf; Antoni Ribas; Steven J O'Day; Jeffrey A Sosman; John M Kirkwood; Alexander M M Eggermont; Brigitte Dreno; Keith Nolop; Jiang Li; Betty Nelson; Jeannie Hou; Richard J Lee; Keith T Flaherty; Grant A McArthur
Journal:  N Engl J Med       Date:  2011-06-05       Impact factor: 91.245

Review 2.  Orchestrating the nucleases involved in DNA interstrand cross-link (ICL) repair.

Authors:  Blanka Sengerová; Anderson T Wang; Peter J McHugh
Journal:  Cell Cycle       Date:  2011-12-01       Impact factor: 4.534

3.  Detection of oxaliplatin-induced DNA crosslinks in vitro and in cancer patients using the alkaline comet assay.

Authors:  Gabriela M Almeida; Tiago L Duarte; William P Steward; George D D Jones
Journal:  DNA Repair (Amst)       Date:  2005-10-25

4.  Combined BRAF and MEK inhibition in melanoma with BRAF V600 mutations.

Authors:  Keith T Flaherty; Jeffery R Infante; Adil Daud; Rene Gonzalez; Richard F Kefford; Jeffrey Sosman; Omid Hamid; Lynn Schuchter; Jonathan Cebon; Nageatte Ibrahim; Ragini Kudchadkar; Howard A Burris; Gerald Falchook; Alain Algazi; Karl Lewis; Georgina V Long; Igor Puzanov; Peter Lebowitz; Ajay Singh; Shonda Little; Peng Sun; Alicia Allred; Daniele Ouellet; Kevin B Kim; Kiran Patel; Jeffrey Weber
Journal:  N Engl J Med       Date:  2012-09-29       Impact factor: 91.245

5.  Nucleotide excision repair genes as determinants of cellular sensitivity to cyclophosphamide analogs.

Authors:  B S Andersson; T Sadeghi; M J Siciliano; R Legerski; D Murray
Journal:  Cancer Chemother Pharmacol       Date:  1996       Impact factor: 3.333

6.  Role of endonucleases XPF and XPG in nucleotide excision repair of platinated DNA and cisplatin/oxaliplatin cytotoxicity.

Authors:  Nora Graf; Wee Han Ang; Guangyu Zhu; MyatNoeZin Myint; Stephen J Lippard
Journal:  Chembiochem       Date:  2011-03-30       Impact factor: 3.164

7.  Survival in BRAF V600-mutant advanced melanoma treated with vemurafenib.

Authors:  Jeffrey A Sosman; Kevin B Kim; Lynn Schuchter; Rene Gonzalez; Anna C Pavlick; Jeffrey S Weber; Grant A McArthur; Thomas E Hutson; Stergios J Moschos; Keith T Flaherty; Peter Hersey; Richard Kefford; Donald Lawrence; Igor Puzanov; Karl D Lewis; Ravi K Amaravadi; Bartosz Chmielowski; H Jeffrey Lawrence; Yu Shyr; Fei Ye; Jiang Li; Keith B Nolop; Richard J Lee; Andrew K Joe; Antoni Ribas
Journal:  N Engl J Med       Date:  2012-02-23       Impact factor: 91.245

8.  Analysis of candidate genes through a proteomics-based approach in primary cell lines from malignant melanomas and their metastases.

Authors:  Franco Carta; Pietro P Demuro; Cristina Zanini; Antonella Santona; Daniele Castiglia; Stefania D'Atri; Paolo A Ascierto; Maria Napolitano; Antonio Cossu; Bruna Tadolini; Franco Turrini; Antonella Manca; Maria C Sini; Giuseppe Palmieri; And Carla Rozzo
Journal:  Melanoma Res       Date:  2005-08       Impact factor: 3.599

9.  Defects in interstrand cross-link uncoupling do not account for the extreme sensitivity of ERCC1 and XPF cells to cisplatin.

Authors:  Inusha U De Silva; Peter J McHugh; Peter H Clingen; John A Hartley
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

10.  DNA repair and replication proteins as prognostic markers in melanoma.

Authors:  Liang Song; Tammy Robson; Tamasin Doig; Thomas Brenn; Marie Mathers; Ewan R Brown; Val Doherty; John M S Bartlett; Niall Anderson; David W Melton
Journal:  Histopathology       Date:  2012-09-28       Impact factor: 5.087

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  10 in total

1.  Tandem repeat variation near the HIC1 (hypermethylated in cancer 1) promoter predicts outcome of oxaliplatin-based chemotherapy in patients with metastatic colorectal cancer.

Authors:  Satoshi Okazaki; Marta Schirripa; Fotios Loupakis; Shu Cao; Wu Zhang; Dongyun Yang; Yan Ning; Martin D Berger; Yuji Miyamoto; Mitsukuni Suenaga; Syma Iqubal; Afsaneh Barzi; Chiara Cremolini; Alfredo Falcone; Francesca Battaglin; Lisa Salvatore; Beatrice Borelli; Timothy G Helentjaris; Heinz-Josef Lenz
Journal:  Cancer       Date:  2017-07-14       Impact factor: 6.860

2.  RNA-seq identifies determinants of oxaliplatin sensitivity in colorectal cancer cell lines.

Authors:  Xin-Xiang Li; Jun-Jie Peng; Lei Liang; Li-Yong Huang; Da-Wei Li; De-Bing Shi; Hong-Tu Zheng; San-Jun Cai
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

3.  XRCC1 and XPD genetic polymorphisms and clinical outcomes of gastric cancer patients treated with oxaliplatin-based chemotherapy: a meta-analysis.

Authors:  Xin Zhang; Li-Peng Jiang; Yu Yin; Ya-Di Wang
Journal:  Tumour Biol       Date:  2014-03-04

4.  ERCC1, XPF and XPA-locoregional differences and prognostic value of DNA repair protein expression in patients with head and neck squamous cell carcinoma.

Authors:  Sebastian Prochnow; W Wilczak; V Bosch; T S Clauditz; A Muenscher
Journal:  Clin Oral Investig       Date:  2018-11-29       Impact factor: 3.573

Review 5.  Prognostic Biomarkers in Melanoma: Tailoring Treatments to the Patient.

Authors:  Bijan Safai; Albert G Wu; Carl V Hamby
Journal:  J Clin Aesthet Dermatol       Date:  2021-12

6.  WBSCR22 confers oxaliplatin resistance in human colorectal cancer.

Authors:  Dongmei Yan; Linglan Tu; Haining Yuan; Jianfei Fang; Liyan Cheng; Xiaoliang Zheng; Xiaoju Wang
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

7.  Heterogeneous nuclear ribonucleoprotein K is associated with poor prognosis and regulates proliferation and apoptosis in bladder cancer.

Authors:  Xu Chen; Peng Gu; Ruihui Xie; Jinli Han; Hao Liu; Bo Wang; Weibin Xie; Weijie Xie; Guangzheng Zhong; Changhao Chen; Shujie Xie; Ning Jiang; Tianxin Lin; Jian Huang
Journal:  J Cell Mol Med       Date:  2016-11-10       Impact factor: 5.310

8.  Chemosensitizing effect of shRNA-mediated ERCC1 silencing on a Xuanwei lung adenocarcinoma cell line and its clinical significance.

Authors:  Weiwei Wang; Lijun Zhang; Liang Liu; Yongfa Zheng; Yong Zhang; Siyuan Yang; Rongliang Shi; Shaojia Wang
Journal:  Oncol Rep       Date:  2017-02-14       Impact factor: 3.906

9.  Translational study identifies XPF and MUS81 as predictive biomarkers for oxaliplatin-based peri-operative chemotherapy in patients with esophageal adenocarcinoma.

Authors:  T P MacGregor; R Carter; R S Gillies; J M Findlay; C Kartsonaki; F Castro-Giner; N Sahgal; L M Wang; R Chetty; N D Maynard; J B Cazier; F Buffa; P J McHugh; I Tomlinson; M R Middleton; R A Sharma
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

10.  SERPINB1 expression is predictive for sensitivity and outcome of cisplatin-based chemotherapy in melanoma.

Authors:  Christoph Willmes; Rajiv Kumar; Jürgen C Becker; Isabella Fried; P Sivaramakrishna Rachakonda; Lidia M Poppe; Sonja Hesbacher; Dirk Schadendorf; Antje Sucker; David Schrama; Selma Ugurel
Journal:  Oncotarget       Date:  2016-03-01
  10 in total

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