Literature DB >> 33273845

Association of MDM4 Gene rs4245739 Polymorphism with the Risk and Clinical Characteristics of Colorectal Cancer in a Chinese Han Population.

De-Ming Zhao1, Yu-E Diao2, Qing Xu3.   

Abstract

BACKGROUND: Studies show that MDM4 may play a pivotal role in colorectal cancer (CRC). Recently, a host of studies suggest that MDM4 gene rs4245739 polymorphism may modify the risk of different cancers.
METHODS: In this study, we were interested whether MDM4 gene rs4245739 polymorphism correlated with the risk and clinical characteristics of CRC. Logistic regression was adopted to estimate the association of rs4245739 polymorphism and CRC risk.
RESULTS: We enrolled 444 CRC patients and 530 controls and found MDM4 gene rs4245739 polymorphism may decrease the risk of CRC. Stratified analyses uncovered that this variant was connected to a less risk of CRC in females, non-drinkers, non-smokers, and people under 60 years old. Additionally, rs4245739 polymorphism was related to TNM staging, pathological type, tumor size, and location of CRC. Furthermore, this polymorphism was significantly linked with the survival of CRC.
CONCLUSION: Totally, this study suggests that MDM4 rs4245739 polymorphism is linked with the risk and clinical characteristics of CRC.
© 2020 Zhao et al.

Entities:  

Keywords:  MDM4; case–control study; colorectal cancer; polymorphism; rs4245739

Year:  2020        PMID: 33273845      PMCID: PMC7705952          DOI: 10.2147/PGPM.S260209

Source DB:  PubMed          Journal:  Pharmgenomics Pers Med        ISSN: 1178-7066


Introduction

Colorectal cancer (CRC) is one of the most frequently diagnosed cancers and is the fourth most mortal cancer with an annual rate of almost 900,000 CRC-related deaths worldwide.1 The global new CRC patients are predicted to roar by 60% to above 2,200,000 in 2030, with 1,100,000 deaths caused by CRC.2 CRC ranks the 5th and 4th most dominant cancer in males and females in China, respectively.3 Up to date, the pathogenesis of CRC is still unclear. Both genetic factors and environmental risk factors including poor diets, obesity, alcohol consumption, smoking, and lacking of exercise were reportedly associated with CRC risk.4,5 A host of studies have identified novel gene loci associated with CRC susceptibility.6–11 P53, a tumor suppressor gene, plays a crucial role in multiple physiological processes, including cell cycle initiation and arrest, DNA lesion repair, signal pathway of apoptosis, autophagy, metabolism, and oxidative status.12,13 The main process of p53 degradation is ubiquitin-mediated proteolysis. One of the ubiquitin-labeled p53 enzymes is mouse double minute (MDM)-2 protein. MDM2 and its homolog MDM4 have very similar protein structures and both have an N-terminus, a region containing p53-binding domain.14 The activity of p53 is negatively regulated by the interaction between MDM2 and MDM4.15–17 MDM4 can directly connect to MDM2 to suppress its decomposition, which impacts the inhibitory effects of MDM2 on p53 activity.18 MDM4 is associated with tumor formation via restraining p53 tumor suppressor activity.19–21 Double knockdown of MDM4 and MDM2 can enhance the antitumor activity of 5-fluorouracil in colon cancer cells.22 MDM4 may be critical in colorectal carcinogenesis.23 MDM4 gene is located on chromosome 1q32. Recently, some studies investigated the potential link between MDM4 gene rs4245739 polymorphism and the risk of various cancers.24,25 Among these studies, only the Norwegian study by Gansmo et al probed into the connection between MDM4 gene rs4245739 polymorphism and CRC risk; however, they found no connection.26 In addition, no Chinese study interpreted the relationship between CRC risk and MDM4 gene rs4245739 polymorphism among Chinese individuals. Thus, we performed this study to address the connection between this variant and CRC susceptibility in a Chinese population.

Patients and Methods

Subjects

Totally 444 CRC patients and 530 volunteers were enrolled from Dalian Municipal Central Hospital and Nantong Third People’s Hospital. No CRC patient had undergone radio- or chemo-therapy. Diagnosis of CRC was made histopathologically. Clinicopathologic data of all participants were acquired from medical records. Qualified controls were chosen from the same area within the same period. All enrolled participants were more than 18 years old. Approval was given by the Ethics committees of the tested Hospitals, and Declaration of Helsinki was followed. All subjects provided written informed consent.

Blood Collecting and Genotyping

Peripheral blood (2 mL) was collected from all participants, and DNA was isolated from its leukocytes using a DNA purifying Kit (Tiangen Biotech) as instructed by the manufacturer. A matrix-supported laser desorption/ionization time-of-flight mass spectrometer on a MassARRAY system (Sequenom, San Diego, CA, USA) was adopted for genotyping. The primers of GTAGTACGAACATAAAAATGCATT TATCCA (forward) and ATTTTCAAATAATGTGGTAAGTGAGCG (reverse) were used for nucleotide extension. Each PCR involved a mixture (25 ul) of genotyping assays (20×, 1.25 ul), DNA (20 ng) and genotyping master mix (2×, 12.5 ul). PCR procedures were denaturing at 96 °C, 5 min; 35 cycles, 96 °C for 30 s, annealing at 57 °C, 40 s; elongating at 72 °C for 5 min. Genotyping accuracy was guaranteed by randomly choosing 1/10 of the specimens for secondary testing.27 The results were 100% consistent.

Statistical Analyses

All statistical analyses were carried out on SPSS 22.0 (SPSS Inc., Chicago, USA) at the significance level of P < 0.05. Categorical and continuous data were examined by Chi-square (χ2) test and Student’s t-test, respectively. Hardy–Weinberg equilibrium (HWE) was assessed using χ2-test. The genotype and allele type allocations between groups were compared via logistic regression by calculating the odds ratios (ORs) and 95% confidence intervals (CIs) with or without adjustment. Stratification was done by sex, age, drinking and smoking status. Additionally, the exposure combined models were assessed by logistic regression. Overall survival (OS) was defined by the Kaplan–Meier approach.

Results

Characteristics of Subjects

Demographic and clinical information of the subjects is listed in Table 1. No differences between the two groups were identified for age, smoking, sex, or alcohol. In terms of site of cancer, there were 290 with rectal cancer and 154 patients with colon cancer. The 444 CRC patients consisted of 95.4% adenocarcinoma (424), 3.2% squamous cell carcinoma (14), and 1.4% other types (6). We also investigated tumor node metastasis (TNM) stage, tumor size, and family history of CRC patients.
Table 1

Demographic Information and Risk Factors for Colorectal Cancer and Control

CharacteristicsCase (N=444)Control (N=530)P
Age56.45±8.4255.68±9.030.169
Sex0.580
 Male299(67.3%)348(65.7%)
 Female145(32.7%)182(34.3%)
Smoking0.570
 Yes194(43.6%)222(41.8%)
 No250(56.4%)308(58.2%)
Alcohol0.408
 Yes263(59.2%)300(56.6%)
 No181(40.8%)230(43.4%)
Family history
 Yes77(17.3%)
 No367(82.7%)
TNM stage
 Ⅰ+Ⅱ228(51.3%)
 III+Ⅳ216(48.7%)
Tumor size
 >5 cm264(59.4%)
 ≤5 cm180(40.6%)
Pathological type
 Adenocarcinoma424(95.4%)
 Squamous cell carcinoma14(3.2%)
 Others6(1.4%)
Location of colorectal cancer
 Rectal cancer290(65.3%)
 Colon cancer154(34.7%)

Abbreviation: TNM, tumor node metastasis.

Demographic Information and Risk Factors for Colorectal Cancer and Control Abbreviation: TNM, tumor node metastasis.

Connection Between CRC Risk and MDM4 Gene rs4245739 Polymorphism

The genotype and allele allocations of the tested polymorphism differed considerably between the CRC patients and controls (Table 2). The HWE test showed no evident bias in genotypic frequency among the controls. Individuals with AC and CC genotype were at lower risk of developing CRC (AC vs AA: OR, 0.76; 95%CI, 0.57-1.00; P = 0.046; CC vs AA: OR, 0.47; 95% CI, 0.23–0.97; P = 0.036). The presence of CC+AC genotype or C allele demonstrated a significantly lower risk for CRC. These results were also true in dominant and homozygote models after age and gender adjustment. We then further evaluated the role of MDM4 gene rs4245739 in the risk of CRC stratified by sex, age, alcohol and smoking (Table 3). Non-drinkers, non-smokers, women, and youngsters (age <60 years) were found with significantly less risk of CRC.
Table 2

Genotype Frequencies of MDM4 Gene Rs4245739 Polymorphism in Cases and Controls

ModelsGenotypeCase (n, %)Control (n, %)OR (95% CI)P-value*OR (95% CI)*P-value
Co-dominantAA304(68.6%)323(61.2%)1.00(reference)1.00(reference)
HeterozygoteAC128(28.9%)180(34.1%)0.76(0.57–1.00)0.0460.70(0.52–0.94)0.019
HomozygoteCC11(2.5%)25(4.7%)0.47(0.23–0.97)0.0360.43(0.21–0.90)0.025
DominantAA304(68.6%)323(61.2%)1.00(reference)1.00(reference)
CC+AC139(31.4%)205(38.8%)0.72(0.55–0.94)0.0160.67(0.50–0.90)0.006
RecessiveAC+AA432(96.8%)503(95.3%)1.00(reference)1.00(reference)
CC11(2.5%)25(4.7%)0.51(0.25–1.05)0.0640.50(0.24–1.03)0.059
AlleleA736(83.1%)826(78.2%)1.00(reference)1.00(reference)
C150(16.9%)230(21.8%)0.73(0.58–0.92)0.007

Notes: The genotyping was successful in 443 cases and 528 controls for rs4245739 polymorphism; Bold values are statistically significant (P < 0.05). *Adjusting for age and sex.

Table 3

Stratified Analyses Between MDM4 Gene Rs4245739 Polymorphism and the Risk of Colorectal Cancer

Variables(Case/Control)AC vs AACC vs AACC vs AA+ACCC+AC vs AA
AAACCC
Sex
 Male229/25564/806/130.89(0.61–1.30); 0.5450.51(0.19–1.37); 0.1770.53(0.20–1.41); 0.1940.84(0.59–1.20); 0.333
 Female75/6864/1005/120.58(0.37–0.91); 0.0180.38(0.13–1.13); 0.0730.50(0.17–1.46); 0.2000.56 (0.36–0.87); 0.010
Smoking
 Yes120/13268/785/100.96(0.64–1.44); 0.8410.55(0.18–1.66); 0.2810.56(0.19–1.66); 0.2890.91(0.61–1.36); 0.651
 No184/19160/1026/150.61(0.42–0.89); 0.0100.42(0.16–1.09); 0.0670.48(0.18–1.26); 0.1270.59(0.41–0.84); 0.004
Alcohol
 Yes144/152113/1385/80.86(0.62–1.21); 0.3970.66(0.21–2.06); 0.4720.71(0.23–2.18); 0.5430.85(0.61–1.19); 0.350
 No160/17115/426/170.38(0.20–0.72); 0.0020.38(0.15–0.98); 0.0390.43(0.17–1.11); 0.0740.38 (0.22–0.66); <0.001
Age (years)
 <60193/18354/966/160.53(0.36–0.79); 0.0010.36(0.14–0.93); 0.0280.42(0.16–1.10); 0.0700.51(0.35–0.74); 0.000
 ≥60111/14074/845/91.11(0.75–1.66); 0.6050.70(0.23–2.15); 0.5320.67(0.22–2.04); 0.4811.07(0.73–1.58); 0.729

Note: Bold values are statistically significant (P < 0.05).

Genotype Frequencies of MDM4 Gene Rs4245739 Polymorphism in Cases and Controls Notes: The genotyping was successful in 443 cases and 528 controls for rs4245739 polymorphism; Bold values are statistically significant (P < 0.05). *Adjusting for age and sex. Stratified Analyses Between MDM4 Gene Rs4245739 Polymorphism and the Risk of Colorectal Cancer Note: Bold values are statistically significant (P < 0.05).

Correlation Between MDM4 Gene rs4245739 and Clinicopathological Data of CRC Patients

Then, the connection between the tested polymorphism and clinical data of CRC patients was assessed. MDM4 gene rs4245739 polymorphism was connected to the histological grade, TNM stage, and tumor size of CRC (Table 4).
Table 4

The Associations Between MDM4 Rs4245739 Polymorphism and Clinical Characteristics of Colorectal Cancer

CharacteristicsGenotype Distributions
AAACCCAC+CC
TNM stage
 III+Ⅳ/Ⅰ+Ⅱ160/14451/775/656/83
 OR (95% CI); P-value1.0 (reference)0.60(0.39–0.91); 0.0150.75(0.22–2.51); 0.6400.61(0.40–0.91); 0.016
Tumor size
 >5 cm/≤5 cm198/10660/686/566/73
 OR (95% CI); P-value1.0 (reference)0.47(0.31–0.72); 0.0000.64(0.19–2.15); 0.6890.48(0.32–0.73); 0.000
Family history
 Yes/No48/25626/1023/829/110
 OR (95% CI); P-value1.0 (reference)1.36(0.80–2.31); 0.2552.00(0.51–7.81); 0.5491.41(0.84–2.35); 0.191
Pathological type
 Adenocarcinoma/Not294/10121/78/3129/10
 OR (95% CI); P-value1.0 (reference)0.59(0.22–1.58); 0.2870.09(0.02–0.39); 0.0080.44(0.18–1.07); 0.066
Location of colorectal cancer
 Rectal cancer/colon cancer211/9373/556/579/60
 OR (95% CI); P-value1.0 (reference)0.59(0.38–0.90); 0.0130.53(0.16–1.78); 0.4750.58(0.38–0.88); 0.010

Note: Bold values are statistically significant (P <0.05).

Abbreviations: TNM, tumor node metastasis.

The Associations Between MDM4 Rs4245739 Polymorphism and Clinical Characteristics of Colorectal Cancer Note: Bold values are statistically significant (P <0.05). Abbreviations: TNM, tumor node metastasis.

Survival Analysis of MDM4 Gene rs4245739 Polymorphism with CRC Patients

We explored the relationship between this variant and the prognosis of CRC patients. For the tested polymorphism, Kaplan-Meier single-factor analysis showed AC genotype carriers relative to AA genotype enjoyed significantly better OS (HR, 0.66, 95% CI, 0.47–0.93; log-rank P = 0.018, Figure 1).
Figure 1

Kaplan–Meier analysis of overall survival of CRC patients with MDM4 gene rs4245739 polymorphism.

Kaplan–Meier analysis of overall survival of CRC patients with MDM4 gene rs4245739 polymorphism.

Discussion

Herein, this study showed that MDM4 gene rs4245739 polymorphism was related to decreased risk and prognosis for CRC in Chinese subjects. Stratified analyses indicated the C allele from this single nucleotide polymorphism (SNP) has a protective role in CRC among females, non-drinkers, non-smokers, and those at age <60 years. Furthermore, the tested polymorphism was linked with the survival of CRC. Several studies focused on the connection between MDM4 gene rs4245739 polymorphism and cancer risk. Zhou et al firstly observed that MDM4 rs4245739 polymorphism decreased the risk of esophageal squamous cell carcinoma (ESCC) and assumed that rs4245739 polymorphism can interrupt the miRNA-regulated gene regulation, which can modify ESCC risk.28 They subsequently reported an association between MDM4 rs4245739 polymorphism and a lower risk of breast cancer (BC) in a study with 1,100 BC patients and 1,400 controls in China.29 As for BC, conflicting results were obtained in other studies. Gansmo et al indicated that C allele of rs4245739 polymorphism reduced the risk for BC marginally in a population from Norway.26 Two studies from Iran did not obtain any association between this SNP and BC risk.30,31 However, a genome-wide association study with 10,707 BC and 76,646 controls identified rs4245739 polymorphism as an important estrogen receptor (ER) negative–specific BC risk locus.32 Differences in BC types, sample sizes and races may contribute to these inconsistent findings regarding BC. As for other types of cancers, Fan et al showed MDM4 rs4245739 polymorphism decreased the risk of non-Hodgkin lymphoma.33 Gao et al observed that this SNP increased susceptibility to small cell lung cancer.34 Mohammad Khanlou et al. revealed that MDM4 rs4245739 polymorphism did not associate with the risk of thyroid cancer among Iranian-Azeri patients.35 Different from the study by Gansmo et al from Norway,26 we recognized a relationship of MDM4 rs4245739 polymorphism with decreased risk for CRC in Chinese Han population. Gansmo et al suggested this SNP was not associated with CRC risk,26 but they only investigated colon cancer and ignored rectal cancer.26 Obviously, the sample sizes and ethnicities were both different between our study and the Norwegian study. Another point was that eating habits and living environments were different. These above factors may explain the conflicting findings. Due to these paradoxical results, Wang et al conducted a meta-analysis to address this issue and found that rs4245739 polymorphism decreased the risk of overall cancer,36 which was in line with our study. Next, the stratified analyses of some factors found that MDM4 rs4245739 polymorphism correlated with a lower risk of CRC in females, non-smokers, non-drinkers, and those at age <60 years old, which suggested these exposure risk factors probably interact with the rs4245739 polymorphism. In addition, we evaluated the link of this polymorphism with clinicopathological data of CRC patients. The tested polymorphism in CRC patients was correlated to the tumor size, TNM stage, pathological type, and location of CRC. Reportedly, the MDM-4 oncogene rs4245739 SNP set up an unsuitable miR-191 target location and was related to both overall and disease-free survivals of ovarian cancer among Caucasians.37 MDM4 rs4245739 AC/CC genotypes were also significantly related to better overall, disease-specific, and disease-free survival.38 We observed that AC genotype carriers showed better OS compared with AA genotype carriers. As far as we know, we uncover a connection of rs4245739 polymorphism with the survival of CRC for the first time. This study harbors some limitations. First, the moderately large sample size may decrease the power value of this study. Second, only one SNP in the MDM4 gene was investigated. Third, there were insufficient follow-up data of CRC patients. Fourth, we only recruited the Han Chinese population. Last, functional experiments should be conducted to further investigate the roles of this SNP in the pathogenesis of CRC. To sum up, MDM4 gene rs4245739 polymorphism is linked with the risk and prognosis of CRC, and the C allele has a protective role in CRC risk and prognosis particularly. Further researches in other populations are warranted to validate these findings.
  38 in total

1.  Spontaneous tumorigenesis in mice overexpressing the p53-negative regulator Mdm4.

Authors:  Shunbin Xiong; Vinod Pant; Young-Ah Suh; Carolyn S Van Pelt; Yongxing Wang; Yasmine A Valentin-Vega; Sean M Post; Guillermina Lozano
Journal:  Cancer Res       Date:  2010-08-24       Impact factor: 12.701

Review 2.  p53 at a glance.

Authors:  Colleen A Brady; Laura D Attardi
Journal:  J Cell Sci       Date:  2010-08-01       Impact factor: 5.285

Review 3.  MDMX: from bench to bedside.

Authors:  Jean-Christophe W Marine; Michael A Dyer; Aart G Jochemsen
Journal:  J Cell Sci       Date:  2007-02-01       Impact factor: 5.285

Review 4.  Colorectal cancer.

Authors:  Evelien Dekker; Pieter J Tanis; Jasper L A Vleugels; Pashtoon M Kasi; Michael B Wallace
Journal:  Lancet       Date:  2019-10-19       Impact factor: 79.321

5.  An illegitimate microRNA target site within the 3' UTR of MDM4 affects ovarian cancer progression and chemosensitivity.

Authors:  Jessika Wynendaele; Anja Böhnke; Eleonora Leucci; Søren Jensby Nielsen; Irina Lambertz; Stefanie Hammer; Nadja Sbrzesny; Dana Kubitza; Anja Wolf; Elise Gradhand; Katharina Balschun; Ioana Braicu; Jalid Sehouli; Silvia Darb-Esfahani; Carsten Denkert; Christoph Thomssen; Steffen Hauptmann; Anders Lund; Jean-Christophe Marine; Frank Bartel
Journal:  Cancer Res       Date:  2010-11-16       Impact factor: 12.701

6.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

7.  Lack of Associations of the MDM4 rs4245739 Polymorphism with Risk of Thyroid Cancer among Iranian-Azeri Patients: a Case-Control Study

Authors:  Ziba Mohammad Khanlou; Nasser Pouladi; Mohammadali Hosseinpour Feizi; Negar Pedram
Journal:  Asian Pac J Cancer Prev       Date:  2017-04-01

8.  Genome-wide association studies identify four ER negative-specific breast cancer risk loci.

Authors:  Montserrat Garcia-Closas; Fergus J Couch; Sara Lindstrom; Kyriaki Michailidou; Marjanka K Schmidt; Mark N Brook; Nick Orr; Suhn Kyong Rhie; Elio Riboli; Heather S Feigelson; Loic Le Marchand; Julie E Buring; Diana Eccles; Penelope Miron; Peter A Fasching; Hiltrud Brauch; Jenny Chang-Claude; Jane Carpenter; Andrew K Godwin; Heli Nevanlinna; Graham G Giles; Angela Cox; John L Hopper; Manjeet K Bolla; Qin Wang; Joe Dennis; Ed Dicks; Will J Howat; Nils Schoof; Stig E Bojesen; Diether Lambrechts; Annegien Broeks; Irene L Andrulis; Pascal Guénel; Barbara Burwinkel; Elinor J Sawyer; Antoinette Hollestelle; Olivia Fletcher; Robert Winqvist; Hermann Brenner; Arto Mannermaa; Ute Hamann; Alfons Meindl; Annika Lindblom; Wei Zheng; Peter Devillee; Mark S Goldberg; Jan Lubinski; Vessela Kristensen; Anthony Swerdlow; Hoda Anton-Culver; Thilo Dörk; Kenneth Muir; Keitaro Matsuo; Anna H Wu; Paolo Radice; Soo Hwang Teo; Xiao-Ou Shu; William Blot; Daehee Kang; Mikael Hartman; Suleeporn Sangrajrang; Chen-Yang Shen; Melissa C Southey; Daniel J Park; Fleur Hammet; Jennifer Stone; Laura J Van't Veer; Emiel J Rutgers; Artitaya Lophatananon; Sarah Stewart-Brown; Pornthep Siriwanarangsan; Julian Peto; Michael G Schrauder; Arif B Ekici; Matthias W Beckmann; Isabel Dos Santos Silva; Nichola Johnson; Helen Warren; Ian Tomlinson; Michael J Kerin; Nicola Miller; Federick Marme; Andreas Schneeweiss; Christof Sohn; Therese Truong; Pierre Laurent-Puig; Pierre Kerbrat; Børge G Nordestgaard; Sune F Nielsen; Henrik Flyger; Roger L Milne; Jose Ignacio Arias Perez; Primitiva Menéndez; Heiko Müller; Volker Arndt; Christa Stegmaier; Peter Lichtner; Magdalena Lochmann; Christina Justenhoven; Yon-Dschun Ko; Taru A Muranen; Kristiina Aittomäki; Carl Blomqvist; Dario Greco; Tuomas Heikkinen; Hidemi Ito; Hiroji Iwata; Yasushi Yatabe; Natalia N Antonenkova; Sara Margolin; Vesa Kataja; Veli-Matti Kosma; Jaana M Hartikainen; Rosemary Balleine; Chiu-Chen Tseng; David Van Den Berg; Daniel O Stram; Patrick Neven; Anne-Sophie Dieudonné; Karin Leunen; Anja Rudolph; Stefan Nickels; Dieter Flesch-Janys; Paolo Peterlongo; Bernard Peissel; Loris Bernard; Janet E Olson; Xianshu Wang; Kristen Stevens; Gianluca Severi; Laura Baglietto; Catriona McLean; Gerhard A Coetzee; Ye Feng; Brian E Henderson; Fredrick Schumacher; Natalia V Bogdanova; France Labrèche; Martine Dumont; Cheng Har Yip; Nur Aishah Mohd Taib; Ching-Yu Cheng; Martha Shrubsole; Jirong Long; Katri Pylkäs; Arja Jukkola-Vuorinen; Saila Kauppila; Julia A Knight; Gord Glendon; Anna Marie Mulligan; Robertus A E M Tollenaar; Caroline M Seynaeve; Mieke Kriege; Maartje J Hooning; Ans M W van den Ouweland; Carolien H M van Deurzen; Wei Lu; Yu-Tang Gao; Hui Cai; Sabapathy P Balasubramanian; Simon S Cross; Malcolm W R Reed; Lisa Signorello; Qiuyin Cai; Mitul Shah; Hui Miao; Ching Wan Chan; Kee Seng Chia; Anna Jakubowska; Katarzyna Jaworska; Katarzyna Durda; Chia-Ni Hsiung; Pei-Ei Wu; Jyh-Cherng Yu; Alan Ashworth; Michael Jones; Daniel C Tessier; Anna González-Neira; Guillermo Pita; M Rosario Alonso; Daniel Vincent; Francois Bacot; Christine B Ambrosone; Elisa V Bandera; Esther M John; Gary K Chen; Jennifer J Hu; Jorge L Rodriguez-Gil; Leslie Bernstein; Michael F Press; Regina G Ziegler; Robert M Millikan; Sandra L Deming-Halverson; Sarah Nyante; Sue A Ingles; Quinten Waisfisz; Helen Tsimiklis; Enes Makalic; Daniel Schmidt; Minh Bui; Lorna Gibson; Bertram Müller-Myhsok; Rita K Schmutzler; Rebecca Hein; Norbert Dahmen; Lars Beckmann; Kirsimari Aaltonen; Kamila Czene; Astrid Irwanto; Jianjun Liu; Clare Turnbull; Nazneen Rahman; Hanne Meijers-Heijboer; Andre G Uitterlinden; Fernando Rivadeneira; Curtis Olswold; Susan Slager; Robert Pilarski; Foluso Ademuyiwa; Irene Konstantopoulou; Nicholas G Martin; Grant W Montgomery; Dennis J Slamon; Claudia Rauh; Michael P Lux; Sebastian M Jud; Thomas Bruning; Joellen Weaver; Priyanka Sharma; Harsh Pathak; Will Tapper; Sue Gerty; Lorraine Durcan; Dimitrios Trichopoulos; Rosario Tumino; Petra H Peeters; Rudolf Kaaks; Daniele Campa; Federico Canzian; Elisabete Weiderpass; Mattias Johansson; Kay-Tee Khaw; Ruth Travis; Françoise Clavel-Chapelon; Laurence N Kolonel; Constance Chen; Andy Beck; Susan E Hankinson; Christine D Berg; Robert N Hoover; Jolanta Lissowska; Jonine D Figueroa; Daniel I Chasman; Mia M Gaudet; W Ryan Diver; Walter C Willett; David J Hunter; Jacques Simard; Javier Benitez; Alison M Dunning; Mark E Sherman; Georgia Chenevix-Trench; Stephen J Chanock; Per Hall; Paul D P Pharoah; Celine Vachon; Douglas F Easton; Christopher A Haiman; Peter Kraft
Journal:  Nat Genet       Date:  2013-04       Impact factor: 38.330

9.  Association of a genetic variation in a miR-191 binding site in MDM4 with risk of esophageal squamous cell carcinoma.

Authors:  Liqing Zhou; Xiaojiao Zhang; Ziqiang Li; Changchun Zhou; Meng Li; Xiaohu Tang; Chao Lu; Helou Li; Qipeng Yuan; Ming Yang
Journal:  PLoS One       Date:  2013-05-28       Impact factor: 3.240

10.  Augmented antitumor activity of 5-fluorouracil by double knockdown of MDM4 and MDM2 in colon and gastric cancer cells.

Authors:  Mamiko Imanishi; Yoshiyuki Yamamoto; Xiaoxuan Wang; Akinori Sugaya; Mitsuaki Hirose; Shinji Endo; Yukikazu Natori; Kenji Yamato; Ichinosuke Hyodo
Journal:  Cancer Sci       Date:  2019-01-16       Impact factor: 6.716

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Journal:  J Cell Mol Med       Date:  2021-10-21       Impact factor: 5.310

2.  The Correlation of Mouse Double Minute 4 (MDM4) Polymorphisms (rs4245739, rs1563828, rs11801299, rs10900598, and rs1380576) with Cancer Susceptibility: A Meta-Analysis.

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