Skip to main content

Colorectal cancer susceptibility: apparent gender-related modulation by ABCB1 gene polymorphisms



The ATP-binding cassette transporter B1 (ABCB1) gene codes for a membrane efflux pump localized in epithelial cells. Together with other Permeability-glycoproteins in the small and large intestine, its product represents a barrier against xenobiotics, bacterial toxins, drugs and other substances introduced with diet, including carcinogens. The aim of this investigation was to verify the possible contribution of ABCB1 single nucleotide polymorphisms (SNPs) to the genetic risk of colorectal cancer (CRC).


DNA obtained from the peripheral blood of 98 CRC patients and 100 healthy controls was genotyped for the three selected SNPs: 1236C > T (rs1128503), 2677G > T/A (rs2032582), and 3435C > T (rs1045642). Molecular data were analyzed to asses allele and haplotype association with CRC.

No evidence of an association between ABCB1 alleles and CRC occurrence as a whole was found. However, ABCB1 showed either association with carcinoma of the sigmoid colon, and appeared able to influence the sex ratio among CRC patients. These two effects seemed to act independently based on multivariate analysis. We showed that ABCB1 polymorphisms were able to influence CRC susceptibility related to tumor localization and patient gender.


We suggest that sensitivity to undetermined risk factors could depend on the genetic background of ABCB1 locus, with a mechanism that also depends on patient gender.


Colorectal cancer (CRC) is among the three leading causes of mortality determined by malignancies in humans worldwide and the second cause of death in Europe [1],[2]. Genetic susceptibility factors seem to interact with environmental – in particular, diet-related and smoking-related – factors to increase the risk of CRC [3],[4]. Over 50% of CRC etiology has been demonstrated to be attributable to diet and lifestyle [5],[6]. A number of studies has recently been carried out to verify the interaction between specific nutrients (meat, fish, fruit and vegetables, fibre, vitamins, alcohol) and susceptibility genes [7]. The intestinal epithelium is the key point of interaction between substances introduced through the diet and gene products involved in the human metabolism. The adenosine triphosphate-binding cassette transporter sub-family B member 1, ABCB1 (also called multiple drug resistance 1 - MDR1) plays a role in modulating this interaction. Expressed in the gastrointestinal tract in particular, it creates a sort of barrier aimed at regulating the uptake of metabolites and drugs [8]. Toxic xenobiotics specifically are eliminated by organs which have an excretory function like the liver and kidneys.

The Permeability-glycoprotein (P-gp), coded by ABCB1 gene, belongs to a group of ATP-dependent efflux pumps that selectively transport substances out of cells. The transport of harmful substances is necessary to protect cells from death [9]; however, in a mouse model, mdr1a overexpression has been associated with apoptosis inhibition and increased risk of cancer [10]. More generally, an altered function of P-gp could create a perturbation of the intra-extra cellular environment equilibrium that could lead to an increased risk of internalization of DNA damaging factors, or potential carcinogens, thereby modulating susceptibility to neoplasm transformation.

Common ABCB1 gene polymorphisms have been investigated by different authors because of their potential ability to modulate ABCB1-mediated transport. In particular, the C3435T (rs1045642) variant, that was correlated with altered ABCB1 expression and activity in an in vivo functional study [11], was also found to be associated with an increased risk of developing CRC in patients under the age of 50 [12] and in older non-smokers [13]. In addition, C3435T (rs1045642) and G-rs3789243-A variants have been seen to be associated with a modulation of the risk of CRC, in conjunction with consumption of red and processed meat [14]. However, conflicting results have been reported, probably due to the intragenic heterogeneity among investigated populations [15]–[17], and no association with cancer susceptibility was found in a meta-analysis considering 34 case–control studies, of which 9 were CRC-control studies [17].

In order to evaluate the possible correlation between ABCB1 polymorphisms and the risk of CRC in a sample study of Italians, we performed a case control association analysis with three SNPs mapping in this gene.


Sample study

A cohort of 98 unrelated Italian colorectal cancer patients was recruited by the Department of Medical and Surgical Sciences of S. Orsola-Malpighi Polyclinic, Bologna University. Diagnosis of colorectal cancer was confirmed by histopathologic examination. The control group consisted of 100 unrelated healthy Italian volunteers matching for gender and age with patient group. Patient information is summarized in Table 1. DNA extraction from peripheral whole blood, collected before primary surgery, was performed using a GenElute™ Blood Genomic DNA Kit (Sigma, Milan, Italy). The study was approved by the ethical committee of Sant'Orsola-Malpighi General Hospital and complied with the Helsinki Declaration's Ethical Principles for Medical Research Involving Human Subjects. Written informed consent was obtained from all patients and healthy control subjects before study entry.

Table 1 Patient and control group information

Single nucleotide polymorphism genotyping

Three SNPs mapping respectively on exon 12 (1236C > T; rs1128503), 21 (2677G > T/A; rs2032582), and 26 (3435C > T; rs1045642) of the ABCB1 gene were chosen, based on literature data. The first and last polymorphisms consist in synonymous variants, while the rs2032582 represents a missense variant (Ala893Ser/Thr). Each polymorphism was amplified by PCR using flanking primers, and the products incubated with a restriction endonuclease, BsuR I, Gsa I and Dpn II (CABRU, Milan, Italy) respectively. Details about polymorphisms are summarized on the Additional file 1. Fragments were separated by 10% native polyacrylamide gel electrophoresis, subsequently stained with ethidium bromide (see Additional file 2). To assess the accuracy of the genotyping outputs, one third of randomly selected samples were blindly tested by a second operator.

Statistical analysis

Power calculation, given the actual sample size and considering the investigated polymorphisms as susceptibility variations, indicated a power over 80% for genotypic odds ratios higher than 2.5 [18]. The distribution of genotypes in patient and control groups was tested for deviations from the Hardy-Weinberg equilibrium using Pearson's χ2 test. Genetic association was firstly investigated using a likelihood ratio approach by Unphased software v3.1.5 in a Windows Vista operative system [19]. Odd ratios were calculated in order to estimate the level of association of the rare allele carriers, i.e. heterozygotes versus non-carriers, as well as homozygotes versus non-carriers.

Logistic regression was then used for multivariate analyses employing SPSS software in order to include available clinical data. Regression modeling was adopted because it did not require specific definition of the exposure and confounder variables, since all explanatory variables were treated in the same way.

Linkage disequilibrium between SNPs was calculated using the Haploview program. Since linkage disequilibrium was evident, haplotype association analysis was adopted to further investigate any evidence of genetic association with single SNP obtained in the investigation. The haplotype association analysis was performed with the aid of Unphased software. A specific test for each haplotype was carried out. This test is a score test for a difference in risk between one haplotype and all the others pooled together. This is in contrast with the odds ratios, which were calculated in relation to a single reference haplotype. A permutation test was performed with 10,000 sample replicates, to allow for multiple testing corrections over all the tests done. In each replicate the trait values were randomly shuffled between all subjects.


Bivariate analysis

Only 3 genotypes were missing in the genotyping step (call rate > 99%). Genotype frequencies among both cases and controls satisfied the Hardy-Weinberg equilibrium. An association study was performed to test if genetic variants in ABCB1 were associated with CRC as whole or with any of the subgroups identified according to histological grade, tumor localization (cecum, ascending, transverse and descending colon cancers were pooled and indicated in the table as colon) and patient gender (Tables 2, 3, and 4). Variant alleles appeared not to be associated with the occurrence of CRC nor with histological grade; however, a significant association was observed with carcinoma of the sigmoid colon, and with CRC in the male strata. Indeed the variant alleles of the rs1128503 and rs2032582 were less frequent in patients with a tumor localized in the sigmoid colon (P value 0.006 and 0.023, respectively). The calculated odds ratio (OR) for rs1128503 variant allele heterozygote carriers versus non-carriers (ORhet) was 0.26 (95% C.I. 0.09-0.80), while for homozygote carriers versus non-carriers (ORhom) it was 0.21 (95% C.I. 0.04-1.03). The level of association with rs2032582 appears weaker; the calculated ORs were ORhet = 0.49 (95% C.I. 0.18-1.32) and ORhom = 0.22 (95% C.I. 0.05-1.09). Stratification by gender showed that rs1128503 was associated to CRC occurrence among males (P = 0.03; ORhet = 0.49 (95% C.I. 0.20-1.18), ORhom = 0.31 (95% C.I. 0.09-1.00)). The variant allele, that was less frequent in male patients (MAF = 0.32) with respect to controls (MAF = 0.44), was more frequent in female patients (MAF = 0.53); but the difference with respect to female controls was not significant (P = 0.12). No difference in allelic frequency was observed between genders within the control group.

Table 2 Genotyping information about SNP rs1128503 mapping on exon 12
Table 3 Genotyping information about SNP rs2032582 mapping on exon 21
Table 4 Genotyping information about SNP rs1045642 mapping on exon 26

Multivariate analyses

Since bivariate statistics suggested that ABCB1 polymorphisms could influence localization of cancer and could act differently in the two genders, a multivariate statistics approach was adopted to understand how ABCB1 genotype was able to influence CRC localization and sex ratio among CRC patients, considering additional potentially confounding factors. First of all, logistic regression was used to see if the outcome (0 = healthy controls, 1 = CRCs in a specific position, i.e. colon, or sigma, or rectum) could be predicted according to rs1128503 genotype and gender (Table 5). This analysis indicated that carcinoma of the sigmoid colon is associated with rs1128503 and that the gender did not act as a confounding factor. Indeed, the ORs for variant allele carriers compared to non-carriers, corrected for gender, were almost unchanged in relation with crude ORs obtained in the bivariate analysis.

Table 5 Logistic regression analysis to test if sigmoid colon cancer (0 = healthy controls, 1 = sigmoid colon) can be modeled by rs1128503 genotype and gender

The second multivariate analysis was aimed at testing if sex ratio among patients (0 = CRC male patients, 1 = CRC female patients) could be predicted according to tumour position (colon, sigma, rectum), histological grade (G1, G2, G3), age of diagnosis (years), and rs1128503 genotype (Table 6). Among these independent variables, the factor which influenced the sex ratio most strongly was the rs1128503 genotype (P = 0.009). The ORs of female CRC patients with rs1128503 variant allele, versus non-carriers, corrected for all the other factors were ORhet = 0.11 (95% C.I. 0.03-0.44), ORhom = 0.24 (95% C.I. 0.06-0.87). In addition, a borderline effect was observed for histological grade (P = 0.07), where the OR of females with a G3 tumor, versus G1 tumor, corrected for all the other factors was 0.26 (95% C.I. 0.08-0.87).

Table 6 Logistic regression analysis to test if sex ratio among patients (0 = male patients, 1 = female patients) can be modeled by rs1128503 genotype, histological grade, tumor localization, and age of diagnosis

Haplotype association analysis

To further investigate genetic association between ABCB1 and cancer of the sigmoid colon, a haplotype association analysis was performed (Table 7). Some haplotypes showed higher association than alleles, suggesting that the actual susceptibility polymorphism was not typed. The higher association level was observed for the haplotype rs1128503C- rs2032582G- rs1045642T (P value = 0.0007). This haplotype is more frequent among sigmoid colon cancer patients; the odds ratio with respect to the most frequent haplotype was 3.48 (95% C.I. 1.23-9.82). Since several tests were performed in this analysis, a permutation test was conducted to adjust significance levels: the corrected P value for rs1128503C- rs2032582G- rs1045642T association was 0.032.

Table 7 Allele and haplotype association analysis for sigmoid colon cancer

Gender specific haplotype occurrence was evaluated among CRC patients. A significant difference between male CRC and female CRC was evident for each of the tested alleles as well as for some of the haplotypes; nominal P values and ORs are shown in Table 8. After multiple comparison correction, males confirmed a significantly higher frequency of the common allele of the rs1128503 polymorphism (corrected P value = 0.035), as well as of the haplotype rs1128503C-rs2032582G (corrected P value = 0.047).

Table 8 CRC male (case) versus CRC female (control) allele and haplotype association analysis


The major function of the ABCB1 product is to extrude a range of different toxic xenobiotic compounds from cells, thus protecting the organism against potentially harmful exposure. ABCB1, as well as other P-glycoproteins, confers protection by limiting xenobiotic absorption along the gastrointestinal tract, and stimulating excretion of these compounds by the liver and kidneys [20],[21]. The activity of this efflux pump may be influenced, in part, by the expression levels of the ABCB1 gene. At present, at least one polymorphism, the C3435T mapping in exon 26 (rs1045642), has been associated with a reduction of the amount of final product of the gene [11],[22]. This polymorphism has been suspected to play a role in the development of different kinds of cancer such as glioma, breast cancer and renal epithelial tumors [17],[23],[24], in addition, of course, to colon cancer [12],[25].

Our investigations indicate that ABCB1 has a role in CRC, particularly in the onset of carcinoma localized in the sigmoid colon. Indeed, the variant allele at rs1128503 and rs2032582 was less frequent in patients with tumors of the sigmoid colon. Since some haplotypes showed a stronger association than the alleles, we could speculate that the allele which is truly responsible has not yet been typed. Association between ABCB1 haplotypes and CRC was described in a Polish population suggesting a prognostic role in less advanced CRC, for the same genetic markers investigated in the present work [26],[27].

In addition, the present investigation showed that polymorphisms of ABCB1 were differentially represented in males and females. It should be pointed out that the incidence rate of colon cancer differs significantly according to gender (male: female = 2: 1). Gender may reflect the different influence levels of exposure to risk factors, related to occupational exposures, diet, or lifestyle; but the level of susceptibility to a particular risk factor could also be gender specific. For example, Danish homozygote carriers for the C3435T polymorphism showed an increased risk of developing CRC in relation to their red meat consumption [14]. Hormonal levels can also influence gene expression. It is known, for example, that steroid hormones such as progesterone modulate P-gp expression in some tissues, as evidenced in a murine model [28]-[30].

In the present investigation we found that SNPs in ABCB1 can influence susceptibility to CRC, but with gender related specificity. In fact, ancestral alleles were more frequently found in CRC males, while variant alleles were more represented in females, even when haplotype occurrence was considered. Allele frequency in controls was similar in the two genders and at intermediate levels between CRC males and females. SNPs may either alter ABCB1 expression by influencing regulatory sequences that are the target of steroid hormones, or may alter ABCB1 ability to process specific substances whose intake could be influenced by gender. This could indicate that SNPs in ABCB1 are able to influence CRC susceptibility, but with a mechanism that could be gender-related. A similar hypothesis could be endorsed by Nakamura and colleagues' findings [31], which suggested that serum levels of cortisol and aldosterone can be influenced by the common ABCB1 rs1045642 polymorphism in women.


Based on our results we could speculate that, even if hormones like progesterone are not transported by P-gp [29], they could in any case modulate the efficiency of the efflux pump, determining the gender variability observed in our sample study.

In addition, we suggest that some of the differences in colon cancer incidence in male and female patients may be due to gender-dependent differences in ABCB1 hormonal modulation determining a different role of the same polymorphism. Our data, even if related to different markers howbeit mapping on the same gene, are in accord with those reported by Sainz and colleagues [32]. They too evidenced a different level of CRC risk in patients carrying a specific ABCB1 SNP variant, depending on gender.

However, given the complexity both of the mechanisms involved in CRC development and of the hormone-mediated effects, a more comprehensive investigation employing bigger sample studies is required to fully address the real role of ABCB1 polymorphisms in CRC.



ATP-binding cassette transporter B1


Single nucleotide polymorphisms


Colorectal cancer




Odd ratio


Minor allele frequency


  1. 1.

    Ferlay J, Parkin DM, Steliarova-Foucher E: Estimates of cancer incidence and mortality in Europe in 2008. Eur J Cancer. 2010, 46: 765-781. 10.1016/j.ejca.2009.12.014.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM: Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010, 127: 2893-2917. 10.1002/ijc.25516.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Le Marchand L, Donlon T, Seifried A, Wilkens LR: Red meat intake, CYP2E1 genetic polymorphisms, and colorectal cancer risk. Cancer Epidemiol Biomarkers Prev. 2002, 11: 1019-1024.

    PubMed  Google Scholar 

  4. 4.

    Slattery ML, Lundgreen A, Wolff RK, Herrick JS, Caan BJ: Genetic variation in the transforming growth factor-beta-signaling pathway, lifestyle factors, and risk of colon or rectal cancer. Dis Colon Rectum. 2012, 55: 532-540. 10.1097/DCR.0b013e31824b5feb.

    PubMed Central  Article  PubMed  Google Scholar 

  5. 5.

    Johnson IT: New approaches to the role of diet in the prevention of cancers of the alimentary tract. Mutat Res. 2004, 551: 9-28. 10.1016/j.mrfmmm.2004.02.017.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Huxley RR, Ansary-Moghaddam A, Clifton P, Czernichow S, Parr CL, Woodward M: The impact of dietary and lifestyle risk factors on risk of colorectal cancer: a quantitative overview of the epidemiological evidence. Int J Cancer. 2009, 125: 171-180. 10.1002/ijc.24343.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Andersen V, Holst R, Vogel U: Systematic review: diet-gene interactions and the risk of colorectal cancer. Aliment Pharmacol Ther. 2013, 37: 383-391. 10.1111/apt.12180.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  8. 8.

    Thiebaut F, Tsuruo T, Hamada H, Gottesman MM, Pastan I, Willingham MC: Cellular localization of the multidrug-resistance gene product P-glycoprotein in normal human tissues. Proc Natl Acad Sci U S A. 1987, 84: 7735-7738. 10.1073/pnas.84.21.7735.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  9. 9.

    Pallis M, Russell N: P-glycoprotein plays a drug-efflux-independent role in augmenting cell survival in acute myeloblastic leukemia and is associated with modulation of a sphingomyelin-ceramide apoptotic pathway. Blood. 2000, 95: 2897-2904.

    CAS  PubMed  Google Scholar 

  10. 10.

    Mochida Y, Taguchi K, Taniguchi S, Tsuneyoshi M, Kuwano H, Tsuzuki T, Kuwano M, Wada M: The role of P-glycoprotein in intestinal tumorigenesis: disruption of mdr1a suppresses polyp formation in Apc(Min/+) mice. Carcinogenesis. 2003, 24: 1219-1224. 10.1093/carcin/bgg073.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Hoffmeyer S, Burk O, von Richter O, Arnold HP, Brockmoller J, Johne A, Cascorbi I, Gerloff T, Roots I, Eichelbaum M, Brinkmann U: Functional polymorphisms of the human multidrug-resistance gene: multiple sequence variations and correlation of one allele with P-glycoprotein expression and activity in vivo. Proc Natl Acad Sci U S A. 2000, 97: 3473-3478. 10.1073/pnas.97.7.3473.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  12. 12.

    Kurzawski M, Drozdzik M, Suchy J, Kurzawski G, Bialecka M, Gornik W, Lubinski J: Polymorphism in the P-glycoprotein drug transporter MDR1 gene in colon cancer patients. Eur J Clin Pharmacol. 2005, 61: 389-394. 10.1007/s00228-005-0926-5.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Osswald E, Johne A, Laschinski G, Arjomand-Nahad F, Malzahn U, Kirchheiner J, Gerloff T, Meisel C, Mrozikiewicz PM, Chernov J, Roots I, Köpke K: Association of MDR1 genotypes with susceptibility to colorectal cancer in older non-smokers. Eur J Clin Pharmacol. 2007, 63: 9-16. 10.1007/s00228-006-0225-9.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Andersen V, Ostergaard M, Christensen J, Overvad K, Tjonneland A, Vogel U: Polymorphisms in the xenobiotic transporter Multidrug Resistance 1 (MDR1) and interaction with meat intake in relation to risk of colorectal cancer in a Danish prospective case-cohort study. BMC Cancer. 2009, 9: 407-10.1186/1471-2407-9-407.

    PubMed Central  Article  PubMed  Google Scholar 

  15. 15.

    Campa D, Sainz J, Pardini B, Vodickova L, Naccarati A, Rudolph A, Novotny J, Forsti A, Buch S, von Schonfels W, Schafmayer C, Völzke H, Hoffmeister M, Frank B, Barale R, Hemminki K, Hampe J, Chang-Claude J, Brenner H, Vodicka P, Canzian F: A comprehensive investigation on common polymorphisms in the MDR1/ABCB1 transporter gene and susceptibility to colorectal cancer. PLoS One. 2012, 7: e32784-10.1371/journal.pone.0032784.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  16. 16.

    Petrova DT, Nedeva P, Maslyankov S, Toshev S, Yaramov N, Atanasova S, Toncheva D, Oellerich M, von Ahsen N: No association between MDR1 (ABCB1) 2677G > T and 3435C > T polymorphism and sporadic colorectal cancer among Bulgarian patients. J Cancer Res Clin Oncol. 2008, 134: 317-322. 10.1007/s00432-007-0279-9.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Wang J, Wang B, Bi J, Li K, Di J: MDR1 gene C3435T polymorphism and cancer risk: a meta-analysis of 34 case–control studies. J Cancer Res Clin Oncol. 2012, 138: 979-989. 10.1007/s00432-012-1171-9.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Purcell S, Cherny SS, Sham PC: Genetic power calculator: design of linkage and association genetic mapping studies of complex traits. Bioinformatics. 2003, 19: 149-150. 10.1093/bioinformatics/19.1.149.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Dudbridge F: Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data. Hum Hered. 2008, 66: 87-98. 10.1159/000119108.

    PubMed Central  Article  PubMed  Google Scholar 

  20. 20.

    Terao T, Hisanaga E, Sai Y, Tamai I, Tsuji A: Active secretion of drugs from the small intestinal epithelium in rats by P-glycoprotein functioning as an absorption barrier. J Pharm Pharmacol. 1996, 48: 1083-1089. 10.1111/j.2042-7158.1996.tb05904.x.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Tanigawara Y: Role of P-glycoprotein in drug disposition. Ther Drug Monit. 2000, 22: 137-140. 10.1097/00007691-200002000-00029.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Hitzl M, Drescher S, van der Kuip H, Schaffeler E, Fischer J, Schwab M, Eichelbaum M, Fromm MF: The C3435T mutation in the human MDR1 gene is associated with altered efflux of the P-glycoprotein substrate rhodamine 123 from CD56+ natural killer cells. Pharmacogenetics. 2001, 11: 293-298. 10.1097/00008571-200106000-00003.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Miller KL, Kelsey KT, Wiencke JK, Moghadassi M, Miike R, Liu M, Wrensch M: The C3435T polymorphism of MDR1 and susceptibility to adult glioma. Neuroepidemiology. 2005, 25: 85-90. 10.1159/000086288.

    Article  PubMed  Google Scholar 

  24. 24.

    Siegsmund M, Brinkmann U, Schaffeler E, Weirich G, Schwab M, Eichelbaum M, Fritz P, Burk O, Decker J, Alken P, Rothenpieler U, Kerb R, Hoffmeyer S, Brauch H: Association of the P-glycoprotein transporter MDR1(C3435T) polymorphism with the susceptibility to renal epithelial tumors. J Am Soc Nephrol. 2002, 13: 1847-1854. 10.1097/01.ASN.0000019412.87412.BC.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    He T, Mo A, Zhang K, Liu L: ABCB1/MDR1 gene polymorphism and colorectal cancer risk: a meta-analysis of case–control studies. Colorectal Dis. 2013, 15: 12-18. 10.1111/j.1463-1318.2012.02919.x.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Balcerczak E, Panczyk M, Piaskowski S, Pasz-Walczak G, Salagacka A, Mirowski M: ABCB1/MDR1 gene polymorphisms as a prognostic factor in colorectal cancer. Int J Color Dis. 2010, 25: 1167-1176. 10.1007/s00384-010-0961-2.

    Article  Google Scholar 

  27. 27.

    Panczyk M, Balcerczak E, Piaskowski S, Jamroziak K, Pasz-Walczak G, Mirowski M: ABCB1 gene polymorphisms and haplotype analysis in colorectal cancer. Int J Color Dis. 2009, 24: 895-905. 10.1007/s00384-009-0724-0.

    Article  Google Scholar 

  28. 28.

    Piekarz RL, Cohen D, Horwitz SB: Progesterone regulates the murine multidrug resistance mdr1b gene. J Biol Chem. 1993, 268: 7613-7616.

    CAS  PubMed  Google Scholar 

  29. 29.

    Ueda K, Okamura N, Hirai M, Tanigawara Y, Saeki T, Kioka N, Komano T, Hori R: Human P-glycoprotein transports cortisol, aldosterone, and dexamethasone, but not progesterone. J Biol Chem. 1992, 267: 24248-24252.

    CAS  PubMed  Google Scholar 

  30. 30.

    Yang CP, DePinho SG, Greenberger LM, Arceci RJ, Horwitz SB: Progesterone interacts with P-glycoprotein in multidrug-resistant cells and in the endometrium of gravid uterus. J Biol Chem. 1989, 264: 782-788.

    CAS  PubMed  Google Scholar 

  31. 31.

    Nakamura T, Okamura N, Yagi M, Omatsu H, Yamamori M, Kuwahara A, Nishiguchi K, Horinouchi M, Okumura K, Sakaeda T: Effects of ABCB1 3435C > T genotype on serum levels of cortisol and aldosterone in women with normal menstrual cycles. Genet Mol Res. 2009, 8: 397-403. 10.4238/vol8-2gmr574.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Sainz J, Rudolph A, Hein R, Hoffmeister M, Buch S, von Schonfels W, Hampe J, Schafmayer C, Volzke H, Frank B, Brenner H, Försti A, Hemminki K, Chang-Claude J: Association of genetic polymorphisms in ESR2, HSD17B1, ABCB1, and SHBG genes with colorectal cancer risk. Endocr Relat Cancer. 2011, 18: 265-276. 10.1530/ERC-10-0264.

    CAS  Article  PubMed  Google Scholar 

Download references


We are indebted to all the patients who agreed to participate in the study. The authors are thankful to Dr. Danielle Marylin Mitzman for her assistance in the English language review. This study was supported by grants from the "Fondazione Enzo Piccinini" (Modena, Italy).

Author information



Corresponding author

Correspondence to Marcella Martinelli.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MM and LS designed the study, wrote and revised the manuscript. GU and IM collected biological samples and acquired clinical data. FC and MTR performed the genetic analysis and sifted through scientific literature. LS performed statistical analysis. RS carefully revised the manuscript. All authors discussed the data, took part in manuscript preparation and gave final approval of the version to be submitted.

Electronic supplementary material

Additional file 1: Polymorphism characteristics.(XLS 10 KB)

Electrophoretic pattern on 10% acrylamide gel of

Additional file 2: ABCB1 PCR-RFLP genotyping assays: a) 1236C > T rs1128503 (exon 12), the PCR product of 237 bp has two restriction sites. b) 2677 G>> T/A rs2032582 (exon 21); c) 3435C > T rs1045642 (exon 26). Numbers on the side represent fragments' length expressed in base pairs.(PDF 44 KB)

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Martinelli, M., Scapoli, L., Cura, F. et al. Colorectal cancer susceptibility: apparent gender-related modulation by ABCB1 gene polymorphisms. J Biomed Sci 21, 89 (2014).

Download citation


  • Colorectal cancer
  • ABCB1 gene
  • Polymorphism
  • Association analysis