Literature DB >> 24809779

Differential effect of MMSET mRNA levels on survival to first-line FOLFOX and second-line docetaxel in gastric cancer.

J Wei1, C Costa2, J Shen1, L Yu1, J J Sanchez3, X Qian1, X Sun1, Z Zou1, A Gimenez-Capitan2, G Yue1, W Guan4, R Rosell5, B Liu1.   

Abstract

BACKGROUND: Breast cancer susceptibility gene 1 (BRCA1) expression differentially affects outcome to platinum- and taxane-based chemotherapy. Mediator of DNA damage checkpoint protein 1 (MDC1), p53-binding protein 1 (53BP1), multiple myeloma SET domain (MMSET) and ubiquitin-conjugating enzyme 9 (UBC9) are involved in DNA repair and could modify the BRCA1 predictive model.
METHODS: Mediator of DNA damage checkpoint protein 1, 53BP1, MMSET and UBC9 mRNA were assessed in gastric tumours from patients in whom BRCA1 levels had previously been determined.
RESULTS: In vitro chemosensitivity assay, MMSET levels were higher in docetaxel-sensitive samples. In a separate cohort, survival was longer in those with low MMSET (12.3 vs 8.8 months; P=0.04) or UBC9 (12.4 vs 8.8 months; P=0.01) in patients receiving only folinic acid, fluorouracil (5-FU) and oxaliplatin (FOLFOX). Conversely, among patients receiving second-line docetaxel, longer survival was associated with high MMSET (19.1 vs 13.9 months; P=0.003). Patients with high MMSET and BRCA1 attained a median survival of 36.6 months, compared with 13.9 months for those with high BRCA1 and low MMSET (P=0.003). In the multivariate analyses, low MMSET (hazard ratio (HR), 0.59; P=0.04) and low UBC9 (HR, 0.52; P=0.01) levels were markers of longer survival to first-line FOLFOX, whereas palliative surgery (HR, 2.47; P=0.005), low BRCA1 (HR, 3.17; P=0.001) and low MMSET (HR, 2.52; P=0.004) levels were markers of shorter survival to second-line docetaxel.
CONCLUSIONS: Breast cancer susceptibility gene 1, MMSET and UBC9 can be useful for customising chemotherapy in gastric cancer patients.

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Year:  2014        PMID: 24809779      PMCID: PMC4037835          DOI: 10.1038/bjc.2014.231

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Gastric cancer represents 8% of total cancer cases and 10% of total deaths worldwide, with an annual estimate of 989 600 new cases and 738 000 deaths (Jemal ). China accounts for 40% of all gastric cancer patients, most of whom are diagnosed with advanced disease (Jemal ). The outcome for locally advanced and metastatic gastric cancer is still dismal, with a median survival of <1 year (Wagner ). In our previous experience, however, median survival was 15.8 months in gastric cancer patients with low mRNA expression of excision repair cross-complementing 1 (ERCC1) treated with the combination of folinic acid, fluorouracil (5-FU) and oxaliplatin (FOLFOX) (Wei ). We also found that among patients receiving second-line docetaxel, median overall survival was 25.8 months for patients with high mRNA expression of breast cancer susceptibility gene 1 (BRCA1; Wei ). Chemotherapy induces widespread DNA damage. Although ERCC1 and BRCA1 can affect survival to chemotherapy because of their pivotal roles in DNA damage response pathways, recent studies have revealed a more complex network involved in the response to DNA damage. Preclinical evidence showed that receptor-associated protein 80 (RAP80) is essential for the BRCA1 repair function (Sobhian ; Morris ). In addition, BRCA1 is also modified by small ubiquitin-related modifier (SUMO) in response to genotoxic damage. Protein inhibitor of activated STAT (PIAS) SUMO ligases are required for proficient double-strand break repair (Galanty ), which has been investigated in our previous study (Wei ). In DNA damage repair, mediator of DNA damage checkpoint protein 1 (MDC1) serves as a upstream molecular, which promotes H2AX phosphorylation and then helps to amplify ataxia telangiectasia mutated signalling by a time-dependent, sequential assembly of repair proteins, including BRCA1 and p53-binding protein 1 (53BP1), thus controlling damage-induced cell cycle arrest checkpoints (Stewart ; Stucki ). The function of 53BP1 in DNA repair is abrogated when BRCA1 is depleted (Rauch ; Bunting ). Impaired 53BP1 accumulation to DNA damage sites was also observed along with depletion of PIAS4 and ubiquitin-conjugating enzyme 9 (UBC9), the E3 and E2 ubiquitin ligases in the SUMO conjugation system (Galanty ). Ubiquitin-conjugating enzyme 9 transports BRCA1 proteins to the nucleus, and knockdown of UBC9 resulted in cytoplasmic localisation of BRCA1 proteins, which were impaired in their capacity to inhibit growth of ovarian cancer cells (Qin ). The methyltransferase multiple myeloma SET domain (MMSET) has a central role in the recruitment of 53BP1 to DNA damage sites (Pei ), and depletion of MMSET confers hypersensitivity to ionising radiation (Pei ). Multiple myeloma SET domain is highly expressed in several tumour types compared with normal tissues (Kassambara ; Hudlebusch ), and high MMSET expression contributes to cell viability and growth and thus to poor prognosis (Hudlebusch ). In addition, MMSET knockdown decreased transcript levels of several cell cycle genes, including BRCA1 (Brito ; Figure 1).
Figure 1

The MDC–MMSET–UBC9–53BP1–BRCA1 pathway. In response to DNA double-stand breaks, MDC1 directly binds to histone H2A variant H2AX, regulating cellular responses to DNA repair by BRCA1 and 53BP1. Breast cancer susceptibility gene 1 needs to be SUMOylated through the activity of UBC9-PIAS1/4 at sites of DNA damage to increase its ubiquitin ligase activity. Multiple myeloma SET domain is required for the recruitment of 53BP1 to DNA damage sites.

In order to examine the impact of MDC1, 53BP1, MMSET and UBC9 on the predictive model based on BRCA1 mRNA expression, we have analysed the mRNA expression of these genes in tumour samples from two separate cohorts of advanced gastric cancer patients. In 99 patients, we correlated expression levels with in vitro cytotoxicity of cisplatin and docetaxel, and in the second cohort of 132 advanced gastric cancer patients in whom BRCA1 mRNA expression had previously been determined (Wei ), we correlated expression levels with survival to first-line FOLFOX and to second-line docetaxel-based chemotherapy.

Materials and methods

Patients

Freshly removed gastric tumour tissues were obtained from 99 patients undergoing gastrectomy between 2010 and 2011 at the General Surgery Department of Drum Tower Hospital, Nanjing, China. Gene expression levels of MDC1, 53BP1, MMSET and UBC9 were determined and correlated with in vitro tumour chemosensitivity. In a second independent cohort of 132 patients (Wei ) with histologically proven locally advanced or metastatic gastric cancer and Eastern Cooperative Oncology Group (ECOG) performance status (PS) ⩽2, we examined the expression of the four genes in tumour samples obtained at the time of surgical resection and correlated gene expression levels with overall survival. All patients received a modified FOLFOX regimen as first-line chemotherapy, and 58 patients were also treated with second-line docetaxel-based chemotherapy. Thirty-five patients received single-agent docetaxel and the remaining 23 patients were treated with docetaxel-based doublets, based on their response to first-line chemotherapy, PS and patient consent. Survival was calculated from the starting date of first-line treatment to the date of last follow-up or death from any cause. All patients gave their signed informed consent, and the study was approved by the institutional ethics review board of Drum Tower Hospital.

In vitro chemosensitivity

Sensitivity to docetaxel and cisplatin was examined in vitro by histoculture drug response assay (Furukawa ). Briefly, fresh tumour specimens were cut into small pieces of approximately 10 mg and then placed on prepared collagen surfaces in 24-well microplates. After treatment with docetaxel and cisplatin at the concentration of 100 μg ml–1 (Hayashi ) and 20 μg ml–1 (Fujita ), respectively, 3-(4,5-dimethyl-2-thiazotyl)-2,5-diphenyl-2H-tetrazoliumbromide assay was used to examine cytotoxicity. The inhibition rate was calculated as previously reported (Shen ).

Gene expression analysis

Breast cancer susceptibility gene 1 expression had previously been determined in all patients (Wei ). We analysed the mRNA expression of MDC1, 53BP1, MMSET and UBC9 by quantitative PCR. RNA was isolated from the macrodissected tumour tissue specimens in accordance with a proprietary procedure (European patent number EP1945764-B1). Briefly, paraffin was removed by xylene. Macrodissected tumour samples were lysed in a proteinase K-containing buffer. RNA was then purified with phenol–chloroform–isoamyl alcohol, followed by precipitation with isopropanol in the presence of glycogen and sodium acetate. RNA was re-suspended in water and treated with DNAse I to avoid DNA contamination. cDNA was generated using M-MLV retrotranscriptase enzyme. Template cDNA was amplified with specific primers and probes for each gene and Taqman Universal Master Mix (Applied Biosystems, Foster City, CA, USA). Quantification of gene expression was performed using the ABI Prism 7900HT Sequence Detection System (Applied Biosystems). In all quantitative experiments, only triplicates with an s.d. of the Ct values <0.30 were accepted. Relative gene expression quantifications were calculated according to the comparative Ct method using β-actin as an endogenous control and commercial human lung and liver RNA (Stratagene, La Jolla, CA, USA) as calibrators. Final results were determined by the formula 2−ΔΔCt and were performed according to Technical Bulletin #2 (Applied Biosystems).

Statistical analysis

Median values and ranges were calculated for quantitative variables and gene mRNA expression. Qualitative variables were summarised by absolute frequencies and percentages. The normality of quantitative variables was analysed by the Kolmogorov–Smirnov test and compared with the Mann–Whitney U and Kruskal–Wallis tests. In order to correlate gene expression levels with clinical characteristics, the χ2 test or Fisher's exact test was used for qualitative variables. The Spearman rho method was used to correlate the expression levels of the four genes. The Mann-Whitney U-test was used to compare gene expression levels in chemosensitive and chemoresistant groups. The distributions of survival were obtained by the Kaplan–Meier method and compared with the log-rank test. A univariate analysis was performed to evaluate the survival differences according to gender, ECOG PS, histology, site, stage or expression levels of MDC1, 53BP1, MMSET and UBC9. A multivariate analysis was performed and the hazard ratio (HR) and 95% confidence intervals (CIs) were estimated with the use of the forward and backward Cox proportional hazards model. All statistical calculations were performed with the Statistical Package for the Social Sciences for Windows version 17 (SPSS Inc., Chicago, IL, USA) and S-Plus 6.1 (Insightful Corporation, Seattle, WA, USA). Two-sided P-values <0.05 was considered statistically significant.

Results

Patient characteristics

The in vitro study included 99 gastric cancer patients. All patients had adenocarcinoma, and 73.3% were males. The clinical study included a separate cohort of 132 gastric cancer patients in whom BRCA1 expression had previously been analysed (Wei ). Median age was 60.5 years (range, 22–84); 102 patients were males; 90.9% had PS 0–1; 98.4% had adenocarcinoma. Curative gastrectomy was performed in 65.9% of the patients, while the rest received palliative surgery. Forty patients (30.3%) had stage IIIA, 41 (31.1%) stage IIIB and 51 (38.6%) stage IV disease at the time of diagnosis (Table 1). The median number of cycles of FOLFOX was three (range, 1–8). All patients progressed to first-line chemotherapy, and 58 patients were treated with second-line docetaxel chemotherapy. The median number of cycles of second-line chemotherapy was three (range, 1–7). The median age of patients receiving second-line docetaxel-based therapy was younger than those treated only with first-line chemotherapy (58 vs 64 years, P=0.05). No other differences were observed between patients receiving and those not receiving second-line therapy (Table 1).
Table 1

Patient characteristics of advanced (stages III–IV) gastric cancer patients

 All patients N=132 N (%)Patients receiving only first-line FOLFOX N=74 N (%)Patients receiving second-line docetaxel-based chemotherapy N=58 N (%)P-value
Age, years
Median (range)
60.5 (22–84)
64 (22–84)
58 (29–81)
0.05
Gender
Female31 (23.5)20 (27)11 (19)0.30
Male
101 (76.5)
54 (73)
47 (81)
 
ECOG PS
<2120 (90.9)65 (87.8)55 (94.8)0.22
2
12 (9.1)
9 (12.2)
3 (5.2)
 
Histology
Adenocarcinoma130 (98.4)73 (98.6)57 (98.3)0.30
Adenosquamous1 (0.8)0 (0)1 (1.7) 
Squamous cell carcinoma
1 (0.8)
1 (1.4)
0 (0)
 
Stage
IIIA40 (30.3)25 (33.8)15 (25.9)0.35
IIIB41 (31.1)19 (25.7)22 (37.9) 
IV
51 (38.6)
30 (40.5)
21 (36.2)
 
Surgery
Curative87 (65.9)46 (62.2)41 (70.7)0.17
Palliative45 (34.1)28 (37.8)17 (29.3) 

Abbreviations: ECOG=Eastern Cooperative Oncology Group; FOLFOX=folinic acid + fluorouracil + oxaliplatin; PS=performance status.

Gene expression levels and in vitro chemosensitivity

The expression levels of MDC1, 53BP1 and MMSET were successfully assessed in 94 of the 99 samples, whereas UBC9 expression was assessed in 90 samples. In the in vitro study, the median gene expression relative to the housekeeping β-actin gene was 1.1 for MDC1 (range, 0.05–18.8), 3.6 for 53BP1 (range, 0.2–23.4), 3.3 for MMSET (range, 0.1–35.8) and 2.5 for UBC9 (range, 0.04–13.1). When the gastric cancer samples were divided into chemosensitive and chemoresistant subgroups by the median value of inhibition to docetaxel or cisplatin, MMSET mRNA levels were higher in the docetaxel-sensitive than in the docetaxel-resistant group (7.17 vs 3.63; P=0.013; Figure 2). No other differences in gene expression were observed between the chemosensitive and chemoresistant groups.
Figure 2

Multiple myeloma SET domain mRNA levels in docetaxel-sensitive and docetaxel-resistant gastric cancer samples.

Gene expression levels and overall survival

BRCA1 expression levels had previously been determined in all 132 patients (Wei ). The expression levels of MDC1, 53BP1, MMSET and UBC9 were successfully assessed in all samples. The median gene expression relative to the housekeeping β-actin gene was 3.3 for MDC1 (range, 0.5–43.7), 5.7 for 53BP1 (range, 1.2–66), 6.5 for MMSET (range, 0.8–73.6) and 1.9 for UBC9 (range, 0.3–13.2). Patients were classified as having high or low gene expression using the median as cutoff. No differences in clinical characteristics were observed according to the mRNA expression levels of any of the four genes. With a median follow-up of 13.7 months (range, 1.3–68.1 months), median survival was 11.6 months (95% CI, 9.8–13.4 months) for all 132 patients. There was no difference in overall survival time according to the expression levels of any of the genes. Median survival time for the 58 patients receiving second-line therapy was 14.9 months (95% CI, 11.6–18.3 months), compared with 9.9 months (95% CI, 8.2–11.7 months) for those receiving only first-line chemotherapy (P=0.03). Among patients receiving only first-line therapy, median survival was 12.3 months (95% CI, 7.9–16.6 months) for those with low levels of MMSET, compared with 8.8 months (95% CI, 5.9–11.7 months) for those with high levels (P=0.04; Figure 3A). Median survival was 12.4 months (95% CI, 10.2–14.5 months) for those with low levels of UBC9 and 8.8 months (95% CI, 5.8–11.8 months) for those with high levels (P=0.01; Figure 3B). Longer survival was also observed in patients with low levels of MDC1 (P=0.49) and 53BP1 (P=0.09), although the difference was not significant. As previously reported in this patient cohort, longer trend of survival was also observed in patients with low BRCA1 expression (P=0.20; Wei ). Among patients with low MMSET expression, median survival was 19.9 months (95% CI, 0.7–39.1 months) for those with low 53BP1 levels and 5.9 months (95% CI, 1.6–10.3 months) for those with high 53BP1 levels (P=0.02; Figure 4). A nonsignificant trend towards longer survival was observed in those with low UBC9 levels (P=0.36), those with low BRCA1 levels (P=0.36) and those with low MDC1 levels (P=0.67).
Figure 3

Kaplan–Meier estimates of overall survival in advanced gastric cancer patients receiving only first-line FOLFOX chemotherapy according to (A) MMSET and (B) UBC9 mRNA expression levels.

Figure 4

Kaplan–Meier estimates of overall survival in advanced gastric cancer patients receiving only first-line FOLFOX chemotherapy according to MMSET in combination of 53BP1 mRNA expression levels.

Among the 58 patients receiving second-line chemotherapy, those with high MMSET levels had longer survival (19.1 months; 95% CI, 5.2–33.1 months) than those with low levels (13.9 months; 95% CI, 7.1–20.7 months; P=0.003; Figure 5A). As previously reported, longer survival was also attained by patients with high levels of BRCA1 (28.6 months; 95% CI, 20.2–36.9 months) compared with those with low levels (9.8 months; 95% CI, 7.2–12.5 months; P<0.0001; Wei ). A nonsignificant trend toward longer survival was also observed in patients with high expression of MDC1 (P=0.07), 53BP1 (P=0.36) and UBC9 (P=0.17). In the subgroup of 25 patients with high BRCA1 levels receiving second-line chemotherapy, overall survival was 36.6 months (95% CI, 23.6–49.6 months) in patients with high MMSET levels and 13.9 months (95% CI, 3.2–24.6 months) in those with low levels (P=0.003; Figure 5B). Two-year survival was 70.6% (95% CI, 48.8–92.3%) in patients with high BRCA1 and high MMSET levels, compared with 25% (95% CI, 0.1–54.9%) in those with high BRCA1 but low MMSET levels. Five-year survival rates were 33% (95% CI, 7.7–58.3%) for patients with high BRCA1 and MMSET levels and 0% for those with high BRCA1 and low MMSET levels (test for trend: P=0.002).
Figure 5

Kaplan–Meier estimates of overall survival in advanced gastric cancer patients receiving docetaxel-based second-line chemotherapy according to (A) MMSET and (B) MMSET/BRCA1 mRNA levels.

Multivariable analyses were performed separately in patients receiving only first-line treatment and in those receiving second-line treatment. In patients receiving only first-line chemotherapy, a lower risk of mortality was observed in patients with low MMSET levels (HR, 0.59; 95% CI, 0.35–0.98; P=0.04) and in patients with low UBC9 levels (HR, 0.52; 95% CI, 0.31–0.88; P=0.01; Table 2). In patients receiving second-line chemotherapy, a higher risk of mortality was observed in patients undergoing palliative surgery (HR, 2.47; 95% CI, 1.31–4.66; P=0.005), in patients with low BRCA1 levels (HR, 3.17; 95% CI, 1.61–6.22; P=0.001) and in patients with low MMSET levels (HR, 2.52; 95% CI, 1.34–4.70; P=0.004; Table 2).
Table 2

Median overall survival and HRs for risk of mortality in 74 advanced (stages III–IV) gastric cancer patients receiving only first-line FOLFOX and in 58 patients also receiving second-line docetaxel-based chemotherapy

 
Only first-line FOLFOX
First-line FOLFOX plus second-line docetaxel-based chemotherapy
VariableOverall survival Months (95% CI)P-valueRisk of mortality HR (95% CI)P-valueOverall survival Months (95% CI)P-valueRisk of mortality HR (95% CI)P-value
Surgery
 
0.15
 
0.16
 
0.004
 
0.005
Curative11.4 (9.2–13.7) 1.00 (Reference) 17.9 (10.3–25.6) 1.00 (Reference) 
Palliative
8.8 (6.2–11.5)
 
1.42 (0.87–2.31)
 
12.1 (6.3–17.9)
 
2.47 (1.31–4.66)
 
BRCA1
 
0.20
 
0.20
 
<0.0001
 
0.001
⩽6.210.2 (7.3–13.1) 0.72 (0.43–1.20) 9.8 (7.2–12.5) 3.17 (1.61–6.22) 
>6.2
8.4 (4.4–12.4)
 
1.00 (Reference)
 
28.6 (20.2–36.9)
 
1.00 (Reference)
 
MMSET
 
0.04
 
0.04
 
0.003
 
0.004
⩽6.512.3 (7.9–16.8) 0.59 (0.35–0.98) 13.9 (7.1–20.7) 2.52 (1.34–4.70) 
>6.5
8.8 (5.9–11.7)
 
1.00 (Reference)
 
19.1 (5.2–33.1)
 
1.00 (Reference)
 
53BP1
 
0.09
 
0.09
 
0.36
 
0.36
⩽5.710.2 (5.7–14.8) 0.64 (0.38–1.08) 13.9 (5.9–21.9) 1.32 (0.72–2.42) 
>5.7
9.4 (6.3–12.6)
 
1.00 (Reference)
 
17.0 (11.1–22.9)
 
1.00 (Reference)
 
MDC1
 
0.49
 
0.49
 
0.07
 
0.07
⩽3.310.9 (6.4–13.4) 0.83 (0.49–1.40) 12.3 (5.3–19.2) 1.78 (0.95–3.34) 
>3.3
8.1 (4.3–11.8)
 
1.00 (Reference)
 
15.5 (8.5–22.5)
 
1.00 (Reference)
 
UBC9
 
0.01
 
0.01
 
0.17
 
0.17
⩽1.912.4 (10.2–14.5) 0.52 (0.31–0.88) 12.3 (6.6–17.9) 1.52 (0.83–2.77) 
>1.98.8 (5.8–11.8) 1.00 (Reference) 15.2 (8.9–21.5) 1.00 (Reference) 

Abbreviations: BRCA1=breast cancer susceptibility gene 1; CI=confidence interval; FOLFOX=folinic acid + fluorouracil + oxaliplatin; HR=hazard ratio; MMSET=multiple myeloma SET domain; MDC1=DNA damage checkpoint protein 1; UBC9=ubiquitin-conjugating enzyme 9; 53BP1=p53-binding protein 1.

Discussion

Most gastric cancer patients present with advanced disease and their prognosis is dismal (Leung ). Although there was no remarkable progress in chemotherapy for advanced gastric cancer in the 1990s, in the early 2000s new agents and optional treatments emerged. The ToGA trial (Bang ) showed that trastuzumab confers a survival benefit for patients with HER2-positive gastric cancer, which comprises 10–20% of patients. Many targeted agents are currently being investigated and the progress in the treatment of advanced gastric cancer, including individualised therapy, can be expected in the near future. We have previously observed that gastric cancer patients with low ERCC1 mRNA levels could benefit from FOLFOX chemotherapy (Wei ) and that patients with high BRCA1 levels had longer survival when treated with docetaxel-based second-line chemotherapy (Wei ). In this study, patients with low levels of MMSET had longer survival than those with high levels (12.3 vs 8.8 months) when treated with only platinum-based first-line chemotherapy. Multiple myeloma SET domain is involved in the t(4 : 14) translocation, which is present in approximately 15–25% of multiple myelomas (Asangani ). High MMSET protein levels are associated with high malignant potential in several solid tumours (Glinsky ; Yang ; Wurmbach ; Xiao ; Zhou ). Overexpression of MMSET was associated with increased c-MYC expression, related to the ability of MMSET to repress the expression of miR-126*, a microRNA targeting c-MYC (Min ), which also has an oncogenic function in gastric cancer through suppression of SOX2 (Otsubo ). Multiple myeloma SET domain interacts with MDC1 in a DNA damage-inducible manner and downregulation of MMSET significantly decreases histone methylation and the subsequent accumulation of 53BP1 (Pei ). A similar effect of MMSET was also observed in class switch recombination (Pei ). Downregulation of MMSET confers hypersensitivity to DNA damage (Pei ). In contrast to the survival benefit conferred by low MMSET expression in patients receiving platinum-based treatment, MMSET expression was higher in docetaxel-sensitive than in docetaxel-resistant samples in vitro, and moreover, low levels of MMSET were associated with shorter survival (13.9 vs 19.1 months) in patients receiving docetaxel-based treatment. High MMSET levels could potentially enhance BRCA1 function, and a similar differential effect has been reported for BRCA1 expression, which induces a 10- to 1000-fold increase in resistance to cisplatin but an 800- to >1000-fold increase in sensitivity to docetaxel (Quinn , 2007). In our previous study in tumour cells isolated from malignant effusions of gastric cancer patients, we observed a similar effect of BRCA1 expression (Wang ). Nevertheless, the most intriguing finding in this study was the combined effect of MMSET and BRCA1 in patients receiving second-line docetaxel-based treatment, wherein those with high levels of both genes attained an unprecedented median survival of 36.6 months compared with 13.9 months in those with high levels of BRCA1 and low levels of MMSET (P=0.003). The 2-year and 5-year survival rates were also higher in patients with high levels of both BRCA1 and MMSET (70.6% vs 25% and 33% vs 0%, respectively). Moreover, in the multivariate analysis, together with type of surgery, BRCA1 and MMSET levels emerged as significant markers of survival. This combined effect of MMSET and BRCA1 expression on outcome to docetaxel in advanced gastric cancer could be explained by the experimental data in myeloma, where MMSET deregulation affected cell cycle progression and adhesion regulations, including BRCA1 (Brito ). However, MMSET serves as chromatin modifiers in cancer development. It functions as a master regulator of transcriptional repression, activation and oncogenesis (Asangani ). The global impact of MMEST levels in patients beyond DNA damage response should be further investigated. In this study, we have also observed striking differences in survival according to UBC9 expression in patients receiving only first-line FOLFOX. Patients with low levels of UBC9 attained a median survival of 12.4 months, in contrast with 8.8 months for those with high levels (P=0.01). Similar, although nonsignificant, trends were also observed in patients with low levels of BRCA1, MDC1 or 53BP1, and a subgroup of patients with low levels of both MMSET and 53BP1 attained the longest overall survival (19.9 months). In the multivariate analysis, only MMSET and UBC9 levels significantly influenced survival to first-line FOLFOX. In response to DNA damage, inhibition of MDC1 results in defective BRCA1 and 53BP1 foci formation after ionising radiation (Goldberg ). Before being transported to DNA damage sites, BRCA1 needs to be SUMOylated through the activity of UBC9-PIAS1/4 at sites of DNA damage to increase its ubiquitin ligase activity (Morris ). Ubiquitin-conjugating enzyme 9 is the sole E2-conjugating enzyme identified for SUMOylation. Ubiquitin-conjugating enzyme 9 depletion impairs 53BP1 accumulation (Galanty ). Dysregulation of UBC9, MMSET, MDC1, 53BP1 and BRCA1 results in aberrant responses to DNA damage, which may have led to the poorer outcome observed in this subgroup of patients treated with platinum-based chemotherapy. To date, there is no gold standard for first-line chemotherapy for gastric cancer patients, despite a great deal of information on the heterogeneous biological background of the disease. Moreover, at the time of failure to first-line chemotherapy, nearly half the patients could be candidates for further treatment (Ji ). This study provides a tool for selecting patients who will likely benefit from FOLFOX – based on MMSET and UBC9 – and those who will benefit from docetaxel – based on BRCA1 (Wei ) and MMSET. Prospective studies are needed to further validate the potential roles of MMSET and UBC9 on BRCA1 expression-based personalised therapeutic strategy in gastric cancer patients.
  37 in total

1.  MDC1 directly binds phosphorylated histone H2AX to regulate cellular responses to DNA double-strand breaks.

Authors:  Manuel Stucki; Julie A Clapperton; Duaa Mohammad; Michael B Yaffe; Stephen J Smerdon; Stephen P Jackson
Journal:  Cell       Date:  2005-12-29       Impact factor: 41.582

2.  Histoculture drug response assay predicts the postoperative prognosis of patients with esophageal cancer.

Authors:  Yoshihisa Fujita; Masako Hiramatsu; Masaru Kawai; Haruto Nishimura; Akiko Miyamoto; Nobuhiko Tanigawa
Journal:  Oncol Rep       Date:  2009-02       Impact factor: 3.906

3.  MMSET stimulates myeloma cell growth through microRNA-mediated modulation of c-MYC.

Authors:  D-J Min; T Ezponda; M K Kim; C M Will; E Martinez-Garcia; R Popovic; V Basrur; K S Elenitoba-Johnson; J D Licht
Journal:  Leukemia       Date:  2012-09-13       Impact factor: 11.528

4.  53BP1 inhibits homologous recombination in Brca1-deficient cells by blocking resection of DNA breaks.

Authors:  Samuel F Bunting; Elsa Callén; Nancy Wong; Hua-Tang Chen; Federica Polato; Amanda Gunn; Anne Bothmer; Niklas Feldhahn; Oscar Fernandez-Capetillo; Liu Cao; Xiaoling Xu; Chu-Xia Deng; Toren Finkel; Michel Nussenzweig; Jeremy M Stark; André Nussenzweig
Journal:  Cell       Date:  2010-04-01       Impact factor: 41.582

Review 5.  Chemotherapy in advanced gastric cancer: a systematic review and meta-analysis based on aggregate data.

Authors:  Anna D Wagner; Wilfried Grothe; Johannes Haerting; Gerhard Kleber; Axel Grothey; Wolfgang E Fleig
Journal:  J Clin Oncol       Date:  2006-06-20       Impact factor: 44.544

6.  Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma.

Authors:  Elisa Wurmbach; Ying-bei Chen; Greg Khitrov; Weijia Zhang; Sasan Roayaie; Myron Schwartz; Isabel Fiel; Swan Thung; Vincenzo Mazzaferro; Jordi Bruix; Erwin Bottinger; Scott Friedman; Samuel Waxman; Josep M Llovet
Journal:  Hepatology       Date:  2007-04       Impact factor: 17.425

7.  RAP80 targets BRCA1 to specific ubiquitin structures at DNA damage sites.

Authors:  Bijan Sobhian; Genze Shao; Dana R Lilli; Aedín C Culhane; Lisa A Moreau; Bing Xia; David M Livingston; Roger A Greenberg
Journal:  Science       Date:  2007-05-25       Impact factor: 47.728

8.  MicroRNA-126 inhibits SOX2 expression and contributes to gastric carcinogenesis.

Authors:  Takeshi Otsubo; Yoshimitsu Akiyama; Yutaka Hashimoto; Shu Shimada; Kentaro Goto; Yasuhito Yuasa
Journal:  PLoS One       Date:  2011-01-27       Impact factor: 3.240

9.  Mammalian SUMO E3-ligases PIAS1 and PIAS4 promote responses to DNA double-strand breaks.

Authors:  Yaron Galanty; Rimma Belotserkovskaya; Julia Coates; Sophie Polo; Kyle M Miller; Stephen P Jackson
Journal:  Nature       Date:  2009-12-17       Impact factor: 49.962

10.  A retrospective analysis of second-line chemotherapy in patients with advanced gastric cancer.

Authors:  Sang Hoon Ji; Do Hyoung Lim; Seong Yoon Yi; Hyo Song Kim; Hyun Jung Jun; Kyoung Ha Kim; Myung Hee Chang; Min Jae Park; Ji Eun Uhm; Jeeyun Lee; Se Hoon Park; Joon Oh Park; Young Suk Park; Ho Yeong Lim; Won Ki Kang
Journal:  BMC Cancer       Date:  2009-04-09       Impact factor: 4.430

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1.  High BIM mRNA levels are associated with longer survival in advanced gastric cancer.

Authors:  Nandie Wu; Ying Huang; Zhengyun Zou; Ana Gimenez-Capitan; Lixia Yu; Wenjing Hu; Lijing Zhu; Xia Sun; Jose Javier Sanchez; Wenxian Guan; Baorui Liu; Rafael Rosell; Jia Wei
Journal:  Oncol Lett       Date:  2017-02-01       Impact factor: 2.967

Review 2.  The role of NSD1, NSD2, and NSD3 histone methyltransferases in solid tumors.

Authors:  Iuliia Topchu; Rajendra P Pangeni; Igor Bychkov; Sven A Miller; Evgeny Izumchenko; Jindan Yu; Erica Golemis; John Karanicolas; Yanis Boumber
Journal:  Cell Mol Life Sci       Date:  2022-05-09       Impact factor: 9.207

3.  Proteomic Signatures of Diffuse and Intestinal Subtypes of Gastric Cancer.

Authors:  Smrita Singh; Mohd Younis Bhat; Gajanan Sathe; Champaka Gopal; Jyoti Sharma; Anil K Madugundu; Neha S Joshi; Akhilesh Pandey
Journal:  Cancers (Basel)       Date:  2021-11-25       Impact factor: 6.639

4.  Plasma mRNA expression levels of BRCA1 and TS as potential predictive biomarkers for chemotherapy in gastric cancer.

Authors:  Jie Shen; Jia Wei; Wenxian Guan; Hao Wang; Yitao Ding; Xiaoping Qian; Lixia Yu; Zhengyun Zou; Li Xie; Carlota Costa; Trever Bivona; Rafael Rosell; Baorui Liu
Journal:  J Transl Med       Date:  2014-12-14       Impact factor: 5.531

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