Literature DB >> 19636411

Mitochondrial haplogroups and control region polymorphisms are not associated with prostate cancer in Middle European Caucasians.

Edith E Mueller1, Waltraud Eder, Johannes A Mayr, Bernhard Paulweber, Wolfgang Sperl, Wolfgang Horninger, Helmut Klocker, Barbara Kofler.   

Abstract

BACKGROUND: Besides being responsible for energy production in the cell, mitochondria are central players in apoptosis as well as the main source of harmful reactive oxygen species. Therefore, it can be hypothesised that sequence variation in the mitochondrial genome is a contributing factor to the etiology of diseases related to these different cellular events, including cancer. The aim of the present study was to assess the frequency of haplogroups and polymorphisms in the control region (CR) of mitochondrial DNA of peripheral blood mononuclear cells from patients with prostate carcinoma (n = 304) versus patients screened for prostate disease but found to be negative for cancer on biopsy (n = 278) in a Middle European population. METHODOLOGY/PRINCIPAL
FINDINGS: The nine major European haplogroups and the CR polymorphisms were identified by means of primer extension analysis and DNA sequencing, respectively. We found that mitochondrial haplogroup frequencies and CR polymorphisms do not differ significantly between patients with or without prostate cancer, implying no impact of inherited mitochondrial DNA variation on predisposition to prostate carcinoma in a Middle European population.
CONCLUSIONS/SIGNIFICANCE: Our results contrast with a recent report claiming an association between mtDNA haplogroup U and prostate cancer in a North American population of caucasian descent.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19636411      PMCID: PMC2712094          DOI: 10.1371/journal.pone.0006370

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Prostate cancer is a major cause of death in the developed world. It is the most frequent cancer among men in the United States and the second most common in the European Union [1], [2]. A shift in cellular energy production from oxidative phosphorylation in mitochondria to anaerobic glycolysis, called the Warburg effect, is a fundamental property of cancer cells. Due to the essential role of enzymes encoded by the mitochondrial DNA (mtDNA) in energy metabolism, alterations to the mitochondrial genome have been suspected to be able to cause a metabolic shift in tumors [3]. Furthermore, mitochondrial respiratory activity is associated with the generation of reactive oxygen species (ROS), which may contribute to the etiology and progression of cancer [4]. Because mitochondria play important roles in both ROS production and apoptosis, the conclusion that they could influence the occurrence of cancer is easily drawn. Most eukaryotic cells contain hundreds of mitochondria which harbor numerous copies of mtDNA [5], [6]. The circular and double-stranded mitochondrial genome is around 16 kilobase pairs long and can be further divided into two main regions: the coding region and the control region. The coding region consists of 37 genes, 24 encoding components of the mitochondrial translational machinery and 13 genes providing essential subunits of the energy-generating enzymes of the oxidative phosphorylation (OXPHOS) pathway [5], [7]. The control region (CR), which is non-coding, contains two hypervariable regions (HVI and HVII) and a displacement (D-loop) region, and is involved in mtDNA replication and transcription [8]. The human population has accumulated a high number of mtDNA base substitutions along radiating maternal lineages, of which specific combinations constitute the so-called mitochondrial haplogroups [7], [9]. Nine distinct European mtDNA haplogroups (H, U, J, T, K, W, I, V, X) were defined by Torroni et al. [10], [11]. Although most mitochondrial polymorphisms are believed to be neutral, population-specific mtDNAs may be functionally different and exert varying influences on the outcomes of diseases [7], [12]–[14]. Mitochondrial haplogroups and polymorphisms have been found to be linked with carcinogenesis. For example, the mtDNA 10398A polymorphism is implicated in enhanced ROS production, and was found to be a risk factor for breast cancer and esophageal cancer in Indian patients, and for invasive breast cancer in African-American women [4], [15]. In addition, Asian haplogroup D was found to be associated with a higher risk of developing endometrial cancer in China [16]. In Caucasian populations, haplogroup K was associated with a significant increase, and haplogroup U a significant decrease, in breast cancer risk [17]. Booker et al. [18] reported an elevated frequency of haplogroup U in prostate carcinoma patients in a study of North American whites. This Caucasian haplogroup was correlated with a 2-fold risk of developing the disease [18]. We aimed to replicate the latter study on a Middle European population. Because associations of age-related diseases have been demonstrated not only with mitochondrial haplogroups, but also with single nucleotide polymorphisms (SNPs) in the CR [19], we also investigated sequence variations in HVI and HVII in our cohorts.

Results

We assessed the nine major European haplogroups as well as CR polymorphisms in peripheral blood mononuclear cells of 582 Caucasian males, 304 of whom were diagnosed with prostate cancer; the remaining 278 were identified with elevated serum PSA levels but were histologically negative for cancer upon prostate biopsy and served as the control group. Clinical characteristics of the cancer patients and controls are shown in Table 1. All nine European haplogroups were observed in our cohort. The frequencies of mitochondrial haplogroups did not differ significantly between the patients with prostate cancer and the control subjects (Table 2). When mitochondrial haplogroup frequencies were compared between cancer patients with biopsy Gleason Score ≤6 to cancer patients with biopsy Gleason Score ≥7 also no significant differences were observed (Table 3).
Table 1

Characteristics of the study populations.

Patients with prostate carcinomaPatients with benign changes
n = 304n = 278
Mean (SD1) age at diagnosis (years)70.3 (5.4)66.1 (5.5)
Mean (SD1) PSA2 (ng/ml)24.0 (125.6)5.4 (4.0)
Prostate volume (g)35.4 (21.0)44.3 (33.4)
Biopsy defined as benign0100
Mean (SD1) Gleason Score6.4 (1.3)-
Gleason Score ≤6 (%)55.9-
Gleason Score ≥7 (%)44.1-

SD: Standard deviation.

PSA: Prostate specific antigen.

Table 2

Frequencies (%) of Caucasian mitochondrial haplogroups in cases and controls.

HaplogroupPatients with prostate carcinomaPatients with benign changesP-Value1
n = 304n = 278
H39.136.00.430
U16.116.90.798
J8.69.00.851
T12.813.60.765
K7.95.40.228
W0.71.80.267
V2.01.40.754
I1.62.90.315
X2.31.10.344
Others2 8.911.90.236

P-Value: Pearson chi-square or Fisher's exact test.

Haplogroups that could not be assigned to one of the nine major European haplogroups by the SNP combination.

Table 3

Frequencies (%) of Caucasian mitochondrial haplogroups in prostate carcinoma patients with biopsy Gleason Score Values ≤6 and ≥7.

HaplogroupPatients with prostate carcinoma and Gleason Score ≤6Patients with prostate carcinoma and Gleason Score ≥7P-Value1
n = 170n = 134
H41.835.80.292
U15.317.20.660
J8.29.00.824
T12.413.40.780
K7.68.20.857
W0.01.50.193
V1.23.00.411
I1.81.51.000
X2.32.21.000
Others2 9.48.20.714

P-Value: Pearson chi-square or Fisher's exact test.

Haplogroups that could not be assigned to one of the nine major European haplogroups by the SNP combination.

SD: Standard deviation. PSA: Prostate specific antigen. P-Value: Pearson chi-square or Fisher's exact test. Haplogroups that could not be assigned to one of the nine major European haplogroups by the SNP combination. P-Value: Pearson chi-square or Fisher's exact test. Haplogroups that could not be assigned to one of the nine major European haplogroups by the SNP combination. The mitochondrial CR was sequenced and analyzed between nucleotide positions 16145 and 530. Two hundred and nineteen polymorphisms were found among the 582 subjects, with 197 homoplasmic single base-pair exchanges, 10 single base-pair deletions and 5 single base-pair insertions when compared to the revised Cambridge Reference Sequence. Two samples presented the same 6 base-pair deletion of nucleotides 106 to 111. A CA-deletion at positions 514 and 515 occurred 40 times, and CA-insertions and CACA-insertions were also found at this site 64 times. CC-insertions occurred at positions 302 and 310, and heteroplasmy was found in one sample (A 16280 A/G). Of these 219 polymorphisms, 16 are not listed in the MITOMAP or Human Mitochondrial Genome Database (www.mitomap.org; www.genpat.uu.se/mtDB/). All polymorphisms and their frequencies in the control and cancer study groups are listed in Supplementary Table S1. Two of the 219 polymorphisms - A 189 G, and T 310 C - were found to have a significantly lower frequency in the cancer patients compared to the control population (p<0.05) (Table 4, Supplementary Table S1). However, the significance was lost after correction for multiple comparisons (Bonferroni analysis), leading to a new required significance level of <0.00023. Table 4 lists the 35 polymorphisms with a frequency ≥5% in either the control or prostate cancer study group.
Table 4

Frequencies of control region polymorphisms greater than 5% in either the control or cancer cohort.

Polymorphism in mtDNA control regionFrequency in Control Cohort (%)n1 Frequency in Cancer Cohort (%)n1 P-Value2 Odds Ratio (95% CI3)
T 16172 C3.60105.26160.331
T 16189 C13.313715.13460.530
C 16192 T5.76166.58200.680
C 16223 T8.63246.58200.349
T 16224 C7.55219.54290.393
C 16256 T6.83195.59170.534
C 16270 T9.35268.88270.844
C 16294 T14.394013.82420.843
C 16296 T8.63245.26160.108
T 16304 C12.95368.22250.063
T 16311 C18.715217.11520.615
T 16356 C5.04143.29100.290
T 16362 C11.51327.57230.104
T 16519 C63.6717765.131980.713
A 73 G60.0716756.251710.351
T 146 C8.99259.21280.927
C 150 T7.192010.20310.201
T 152 C21.586018.75570.394
G 185 A8.27237.89240.867
A 189 G5.76161.9760.0170.330 (0.127–0.855)
T 195 C17.274814.47440.356
T 199 C5.04144.61140.808
T 204 C7.19204.93150.252
G 228 A7.19207.89240.749
A 263 G98.9227599.343020.674
C 295 T9.35269.54290.939
A 302 C-Ins48.9213643.751330.211
A 302 CC-Ins13.313713.49410.950
T 310 C-Ins97.1227099.343020.054
C 462 T8.63249.21280.807
T 489 C11.15319.87300.614
C 497 T2.8885.92180.076
G 499 A5.04143.29100.290
G 513 CA-Ins8.99255.92180.157
514/515 Del8.99254.93150.053

n = Number of individuals with the respective polymorphism.

P-Value: Pearson chi-square or Fisher's exact test.

CI = Confidence interval.

n = Number of individuals with the respective polymorphism. P-Value: Pearson chi-square or Fisher's exact test. CI = Confidence interval.

Discussion

The aim of the present study was to replicate the survey of Booker et al. [18], who performed a case-control study on 221 white men with prostate cancer and 246 white controls in North America and found mitochondrial haplogroup U to be overrepresented in the cancer group compared to the control group (OR: 1.95). In Middle European Caucasians we did not find significant differences between the haplogroup distributions in prostate cancer patients compared to the controls. Adjustment for multiple comparisons applied to the study of Booker et al. also led to loss of statistical significance [18]. The haplogroup distribution of the North American study closely resembles the distribution in our cancer patients, whereas the control group in the study of Booker et al. [18] is underrepresented for haplogroup U by about 45% compared to our control group (Table 5). When we compared the American case group to the Austrian control group no significant association of haplogroups to prostate cancer was detected.
Table 5

Comparison of haplogroup U frequencies and important characteristics in different mitochondrial haplogroup studies.

Haplogroup U %P-Value1 Mean (SD2) age% male
Patients with benign changes (current study)n = 27816.9-66.1 (5.5)100
Patients with prostate carcinoma (current study)n = 30416.10.79870.3 (5.4)100
Salzburg Atherosclerosis Prevention Program (SAPHIR), healthy subjects (Wiesbauer et al., [20])n = 152715.50.54051.5 (6.1)64.7
Population study of West European Caucasians of the same geographical region (random sample) (Brandstätter et al., [21])n = 27718.80.566n.a.n.a.
Patients with prostate carcinoma (Booker et al., [18])n = 22116.70.96156.7 (8.5)100
Control population (Booker et al., [18])n = 2469.30.01134.2 (16.6)n.a.

P-Values shown represent the comparison of haplogroup U frequencies between the control population of the present study and the other listed cohorts (Pearson chi-square statistics).

SD: Standard deviation; n.a.: not available.

P-Values shown represent the comparison of haplogroup U frequencies between the control population of the present study and the other listed cohorts (Pearson chi-square statistics). SD: Standard deviation; n.a.: not available. To exclude the possibility that having prostate problems in general – indicated by elevated PSA serum levels in our patient and control group - is associated with a higher haplogroup U frequency, we further assessed the haplogroup U frequency among participants in the SAPHIR study (Salzburg Atherosclerosis Prevention Program, as previously published [14], [20]). The frequencies of haplogroup U in our control and prostate cancer groups are not significantly different from those of these healthy SAPHIR subjects. A subgroup of this population, consisting only of men (n = 988, mean age 49 years), also has a frequency of haplogroup U similar to the prostate cancer group (data not shown). Furthermore, the frequency of haplogroup U among 277 random West European Caucasians studied by Brandstätter et al. [21] also is not significantly different from the frequency in our control group (Table 5). The subjects of that study were enrolled at the same University Hospital in Austria where our patient and control cohorts were recruted. In mtDNA-related epidemiological studies the importance of appropriate control groups has been emphasized previously [22], [23]. There are several reasons that might explain the discrepant results. For example, regional variation, age or sex differences could influence the outcome of statistical calculations. Booker et al. [18] do not define whether their control population consisted entirely of men or also included women. Their control cohort consisted of organ donors, who in the United States must explicitly state their wish to become an organ donor; thus, depending on the propensities of different ethnic groups to donate organs, organ donor banks might exhibit different haplogroup distributions compared to the general population. The mean age of their controls was less than that of the patients with cancer. Age could have an impact on regional population variation, especially in a country such as the United States with a large immigrant population. Immigration patterns might have changed over a period of time, leading to different haplogroup distributions in different age groups of a population. In another US study which sought to replicate the findings of Booker et al. [18] with respect to an association between haplogroup U and prostate cancer in white men, Canter et al. [24] reported haplogroup U percentages of 26.7% for their prostate cancer group (n = 71) and 11.7% for their control group (n = 128). A limitation of their study is the low number of prostate cancer patients. Moreover, their brief report does not give characteristics of the study participants or how they were selected. It can not be excluded that geographical variation of haplogroup frequencies in control study populations are present between Austria and the USA. In accordance with our results, a Korean study found no association between any mitochondrial haplogroups and prostate cancer [25]. The common set of 22 East Asian haplogroups was examined and no statistically significant difference in the distributions of mtDNA haplogroup frequencies was observed between the case (n = 139) and control groups (n = 122). Comparing CR polymorphisms of cancer patients to controls we found two out of 219 statistically significant differences, which lost their significance after correction for multiple comparisons. As we analyzed only mitochondrial haplogroups and control region polymorphisms, we cannot exclude the possibility that polymorphisms in the mitochondrial coding region, not included in the predefined haplogroup polymorphisms, could be associated with prostate cancer. Another limitation of our analysis is the low study power. Very large sample sizes would be required to reliably detect a modest difference in haplogroup frequencies between two groups [26]. Somatic mutations of mtDNA have been reported in a variety of cancers, including prostate carcinoma [27], [28]. In this study, only blood genomic DNA samples were available to us, and therefore no associations between somatic mutations/polymorphisms could be determined. In conclusion, we did not find any mitochondrial haplogroups or CR polymorphisms to be associated with prostate cancer in an Austrian population.

Materials and Methods

Ethics Statement

The study was conducted according to the Austrian Gene Technology Act and complied with the Declaration of Helsinki. The study and the use of archive samples for the study was approved by the Ethics Committee of the Innsbruck Medical University (study UN 3174). Samples archived in 1995 to 2006 were used for the study. Written informed consent was obtained starting in 2001.

Patients and control subjects

A total of 582 Caucasian subjects were analyzed; all were recruited from the Department of Urology of the Innsbruck Medical University. Patients and controls were enrolled in the Tyrolean early detection program for prostate cancer, which is based on regular PSA (prostate specific antigen) testing [29], [30]. The case group comprises 304 men aged 51 to 84 years, diagnosed with prostate cancer by histopathological evaluation according to World Health Organisation recommendations. As a disease control group, 278 men aged 46 to 80 years with benign results of prostate biopsy were recruited as previously described [29] (Table 1). For the disease control group a mean follow-up of 4.3 years after biopsy is available ranging from zero to 12 years, where no cancer was diagnosed.

DNA isolation and mtDNA analysis

DNA was isolated from frozen peripheral blood mononuclear cells (PBMCs) using the AllPrep DNA/RNA Mini Kit 50 (Qiagen, Hilden, Germany). A hierarchical system for mtDNA haplogrouping that combines multiplex PCR amplification, multiplex single-base primer extension, and capillary-based electrophoretic separation for analyzing ten haplogroup-diagnostic mitochondrial SNPs (mtSNPs) was used to determine the haplogroup distribution of the most common European haplogroups, H, U, J, T, K, I, V, W and X, as described previously [20]. However, the following changes were made to this protocol: To remove primers and unincorporated deoxynucleotides from the PCR products, an ExoSAP-IT (USB, Cleveland, OH, USA) digest in a volume of 4.5 µl containing 0.5 µl ExoSAP and 2 µl PCR product was performed at 37°C for 60 min followed by enzyme inactivation at 80°C for 15 min. Multiplex primer extension reactions were carried out in a total volume of 5 µl containing 1 µl of SNP Start Master Mix (GenomeLab™ SNP Start Primer Extension Kit, Beckman Coulter, Fullerton, CA, USA), 1 µl of PCR product, and 1 µl of primer mix. Two SNP primers were changed to 8251r: (A) and 16391r: (A). As an internal standard, fluorescently labeled primers (Biomers, Ulm, Germany) of lengths 15 and 60 bases were used (15 bases standard DY781: CACATGTCGGAGTCT, 60 bases standard DY781: TACAGTTCGTGCACACCGGCATCAGCTGTGTGCGAGAGTACTTACTATTGGTTGGCCAGA). Haplogroups that could not be assigned to one of the nine major European haplogroups by the SNP combination were designated as “others”. CR sequences were analyzed between nucleotide positions 16145 and 530, from a 1066-bp fragment. The fragment was amplified with primers 16098f: ACATTACTGCCAGCCACCATG and 638r: GGTGATGTGAGCCCGTCTAAAC. The PCR was performed in a volume of 30 µl containing 10× PCR buffer B (Solis Biodyne, Tartu, Estonia), 2.5 mM MgCl2, 333.3 pM of forward and reverse primer, 133.3 µM of each deoxynucleotide triphosphate (Invitrogen, Carlsbad, CA, USA) and 0.083 U of Hot Fire Polymerase (Solis Biodyne, Tartu, Estonia). Thermal cycling conditions were 95°C for 15 minutes, 35 cycles at 95°C for 30 seconds, 58°C for 30 seconds and 72°C for 2 minutes, and finally 37°C for 2 minutes. PCR products were purified the same way as described for haplogroup analysis (ExoSAP-IT, USB, Cleveland, OH, USA). The fragment was sequenced using primers 16098f: ACATTACTGCCAGCCACCATG and 17f: CCCTATTAACCACTCACGGG. Sequencing was conducted using GenomeLab™ DTCS – Quick Start Kit (Beckman Coulter, Fullerton, CA, USA) in a volume of 10 µl containing 2 µl of the Master Mix and 500 pM of the appropriate primer. Thermal cycling conditions for sequencing were performed with: 30 cycles of denaturation at 96°C for 5 seconds, annealing at 50°C for 5 seconds and extension at 60°C for 4 minutes, followed by 25°C for 10 seconds. Samples were ethanol-precipitated and separated by capillary electrophoresis on a Beckman Coulter CEQ™ 2000 Genetic Analysis System.

Statistical analysis

Frequencies of all mitochondrial haplogroups and CR polymorphisms in the prostate cancer patients and controls were tested for independency using Pearson chi-square statistics and Fisher's exact test as appropriate. Furthermore, in the same way, frequencies of mitochondrial haplogroups in patients with prostate carcinoma and biopsy Gleason Score ≤6 and patients with prostate carcinoma and biopsy Gleason Score ≥7 were tested. A p-value<0.05 was considered statistically significant. For analysis of CR polymorphisms significant p-values were corrected for multiple comparisons by Bonferroni analysis (required significance level = 0.05/number of comparisons), leading to a new required significance level of <0.00023 [number of comparisons = 219]. All analyses were performed using SPSS 15.0 student version (SPSS GmbH Software, 80339 Munich, Germany). Control region polymorphisms. (0.21 MB DOC) Click here for additional data file.
  30 in total

1.  Multiplex primer extension analysis for rapid detection of major European mitochondrial haplogroups.

Authors:  Martina Wiesbauer; David Meierhofer; Johannes A Mayr; Wolfgang Sperl; Bernhard Paulweber; Barbara Kofler
Journal:  Electrophoresis       Date:  2006-10       Impact factor: 3.535

Review 2.  Mitochondrial DNA variation in human evolution and disease.

Authors:  D C Wallace; M D Brown; M T Lott
Journal:  Gene       Date:  1999-09-30       Impact factor: 3.688

3.  Mitochondrial polymorphisms as risk factors for endometrial cancer in southwest China.

Authors:  L Xu; Y Hu; B Chen; W Tang; X Han; H Yu; C Xiao
Journal:  Int J Gynecol Cancer       Date:  2006 Jul-Aug       Impact factor: 3.437

4.  Mitochondrial DNA G10398A polymorphism imparts maternal Haplogroup N a risk for breast and esophageal cancer.

Authors:  Katayoon Darvishi; Swarkar Sharma; Audesh K Bhat; Ekta Rai; R N K Bamezai
Journal:  Cancer Lett       Date:  2006-11-01       Impact factor: 8.679

5.  Cancer statistics, 2008.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Yongping Hao; Jiaquan Xu; Taylor Murray; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2008-02-20       Impact factor: 508.702

6.  Altered expression of 12S/MT-RNR1, MT-CO2/COX2, and MT-ATP6 mitochondrial genes in prostate cancer.

Authors:  Jesús Abril; Miguel López de Heredia; Laura González; Ramon Clèries; Marga Nadal; Enric Condom; Fernando Aguiló; Montserrat Gómez-Zaera; Virginia Nunes
Journal:  Prostate       Date:  2008-07-01       Impact factor: 4.104

7.  Mitochondrial genetic background modifies breast cancer risk.

Authors:  Ren-Kui Bai; Suzanne M Leal; Daniel Covarrubias; Aiyi Liu; Lee-Jun C Wong
Journal:  Cancer Res       Date:  2007-05-15       Impact factor: 12.701

8.  Tyrol Prostate Cancer Demonstration Project: early detection, treatment, outcome, incidence and mortality.

Authors:  Georg Bartsch; Wolfgang Horninger; Helmut Klocker; Alexandre Pelzer; Jasmin Bektic; Wilhelm Oberaigner; Harald Schennach; Georg Schäfer; Ferdinand Frauscher; Mathieu Boniol; Gianluca Severi; Chris Robertson; Peter Boyle
Journal:  BJU Int       Date:  2008-04       Impact factor: 5.588

9.  Mitochondrial DNA haplogroup T is associated with coronary artery disease and diabetic retinopathy: a case control study.

Authors:  Barbara Kofler; Edith E Mueller; Waltraud Eder; Olaf Stanger; Richard Maier; Martin Weger; Anton Haas; Robert Winker; Otto Schmut; Bernhard Paulweber; Bernhard Iglseder; Wilfried Renner; Martina Wiesbauer; Irene Aigner; Danijela Santic; Franz A Zimmermann; Johannes A Mayr; Wolfgang Sperl
Journal:  BMC Med Genet       Date:  2009-04-21       Impact factor: 2.103

10.  Mitochondrial DNA haplogroup analysis reveals no association between the common genetic lineages and prostate cancer in the Korean population.

Authors:  Wook Kim; Tag-Keun Yoo; Dong-Jik Shin; Hyun-Wook Rho; Han-Jun Jin; Eun-Tak Kim; Yoon-Sun Bae
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

View more
  15 in total

1.  Inherited mitochondrial DNA variants can affect complement, inflammation and apoptosis pathways: insights into mitochondrial-nuclear interactions.

Authors:  M Cristina Kenney; Marilyn Chwa; Shari R Atilano; Payam Falatoonzadeh; Claudio Ramirez; Deepika Malik; Mohamed Tarek; Javier Cáceres-del-Carpio; Anthony B Nesburn; David S Boyer; Baruch D Kuppermann; Marquis Vawter; S Michal Jazwinski; Michael Miceli; Douglas C Wallace; Nitin Udar
Journal:  Hum Mol Genet       Date:  2014-02-28       Impact factor: 6.150

2.  Somatic mutations throughout the entire mitochondrial genome are associated with elevated PSA levels in prostate cancer patients.

Authors:  Anita Kloss-Brandstätter; Georg Schäfer; Gertraud Erhart; Alexander Hüttenhofer; Stefan Coassin; Christof Seifarth; Monika Summerer; Jasmin Bektic; Helmut Klocker; Florian Kronenberg
Journal:  Am J Hum Genet       Date:  2010-12-10       Impact factor: 11.025

Review 3.  The awakening of an advanced malignant cancer: an insult to the mitochondrial genome.

Authors:  Cody C Cook; Masahiro Higuchi
Journal:  Biochim Biophys Acta       Date:  2011-09-02

4.  No association between typical European mitochondrial variation and prostate cancer risk in a Spanish cohort.

Authors:  Laura Fachal; Antonio Gómez-Caamaño; Vanesa Alvarez Iglesias; Alberto Gómez Carballa; Patricia Calvo; Antonio Salas; Ana Vega
Journal:  J Hum Genet       Date:  2014-06-05       Impact factor: 3.172

5.  Female-specific association among I, J and K mitochondrial genetic haplogroups and cancer: A longitudinal cohort study.

Authors:  Claudio Luchini; Alessia Nottegar; Alberto Vaona; Brendon Stubbs; Jacopo Demurtas; Stefania Maggi; Nicola Veronese
Journal:  Cancer Genet       Date:  2018-04-11

6.  The role of the mitochondrial genome in ageing and carcinogenesis.

Authors:  Anna M Czarnecka; Ewa Bartnik
Journal:  J Aging Res       Date:  2011-02-15

7.  Mitochondrial haplogroups and control region polymorphisms in age-related macular degeneration: a case-control study.

Authors:  Edith E Mueller; Elena Schaier; Susanne M Brunner; Waltraud Eder; Johannes A Mayr; Stefan F Egger; Christian Nischler; Hannes Oberkofler; Herbert A Reitsamer; Wolfgang Patsch; Wolfgang Sperl; Barbara Kofler
Journal:  PLoS One       Date:  2012-02-13       Impact factor: 3.240

8.  Mitochondrial haplogroups, control region polymorphisms and malignant melanoma: a study in middle European Caucasians.

Authors:  Sabine Ebner; Roland Lang; Edith E Mueller; Waltraud Eder; Michaela Oeller; Alexandra Moser; Josef Koller; Bernhard Paulweber; Johannes A Mayr; Wolfgang Sperl; Barbara Kofler
Journal:  PLoS One       Date:  2011-12-09       Impact factor: 3.240

9.  Sequence-based polymorphisms in the mitochondrial D-loop and potential SNP predictors for chronic dialysis.

Authors:  Jin-Bor Chen; Yi-Hsin Yang; Wen-Chin Lee; Chia-Wei Liou; Tsu-Kung Lin; Yueh-Hua Chung; Li-Yeh Chuang; Cheng-Hong Yang; Hsueh-Wei Chang
Journal:  PLoS One       Date:  2012-07-18       Impact factor: 3.240

10.  Mitochondrial haplogroups and polymorphisms reveal no association with sporadic prostate cancer in a southern European population.

Authors:  María Jesús Álvarez-Cubero; María Saiz Guinaldo; Luís Javier Martínez-González; Juan Carlos Álvarez Merino; José Manuel Cózar Olmo; José Antonio Lorente Acosta
Journal:  PLoS One       Date:  2012-07-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.