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Genetic variations of the A13/A14 repeat located within the EGFR3′ untranslated region have no oncogenic effect in patients with colorectal cancer

  • Nasrin Sarafan-Vasseur1,
  • David Sefrioui1, 2,
  • David Tougeron3,
  • Aude Lamy1, 4,
  • France Blanchard4,
  • Florence Le Pessot5,
  • Frédéric Di Fiore1, 2,
  • Pierre Michel1, 2,
  • Stéphane Bézieau6,
  • Jean-Baptiste Latouche1,
  • Thierry Frebourg1 and
  • Richard Sesboüé1Email author
Contributed equally
BMC Cancer201313:183

DOI: 10.1186/1471-2407-13-183

Received: 22 November 2012

Accepted: 21 March 2013

Published: 8 April 2013

Abstract

Background

The EGFR 3′ untranslated region (UTR) harbors a polyadenine repeat which is polymorphic (A13/A14) and undergoes somatic deletions in microsatellite instability (MSI) colorectal cancer (CRC). These mutations could be oncogenic in colorectal tissue since they were shown to result into increased EGFR mRNA stability in CRC cell lines.

Methods

First, we determined in a case control study including 429 CRC patients corresponding to different groups selected or not on age of tumor onset and/or familial history and/or MSI, whether or not, the germline EGFR A13/A14 polymorphism constitutes a genetic risk factor for CRC; second, we investigated the frequency of somatic mutations of this repeat in 179 CRC and their impact on EGFR expression.

Results

No statistically significant difference in allelic frequencies of the EGFR polyA repeat polymorphism was observed between CRC patients and controls. Somatic mutations affecting the EGFR 3′UTR polyA tract were detected in 47/80 (58.8%) MSI CRC versus 0/99 microsatellite stable (MSS) tumors. Comparative analysis in 21 CRC samples of EGFR expression, between tumor and non malignant tissues, using two independent methods showed that somatic mutations of the EGFR polyA repeat did not result into an EGFR mRNA increase.

Conclusion

Germline and somatic genetic variations occurring within the EGFR 3′ UTR polyA tract have no impact on CRC genetic risk and EGFR expression, respectively. Genotyping of the EGFR polyA tract has no clinical utility to identify patients with a high risk for CRC or patients who could benefit from anti-EGFR antibodies.

Keywords

Colorectal cancer EGFR Polymorphism Microsatellite instability Targeted therapy

Background

Colorectal cancer (CRC) is the third most commonly diagnosed cancer in males and the second in females with 1.2 million new cases and 608,700 deaths estimated to have occurred worldwide in 2008 [1]. In its early stage, CRC represents a curable disease. However, 20–50% of patients with newly diagnosed CRC will develop secondary metastases (mCRC) [2]. A major advance in the treatment of mCRC has been achieved thanks to the development of targeted therapies. Accordingly, two antibodies, cetuximab and panatimumab, which selectively target the extracellular domain of the epidermal growth factor receptor (EGFR), have been approved for the treatment of metastatic diseases. The combination of these targeted molecules with conventional chemotherapy (5-FU, Irinotecan, Oxaliplatin) has led to significant improvement in response rate, progression free survival and overall survival in first line, as well as second or third line treatment of mCRC [38]. This efficiency constitutes a clinical evidence that activation of EGFR is oncogenic in CRC. However clinical trials have shown a high individual variability of response and outcome in mCRC patients, which has highlighted the need for identification of reliable markers predictive of response to treatment. The only molecular marker predictive of the response of the anti-EGFR mAbs, which has been unambiguously validated in mCRC by numerous studies, is the presence of KRAS activating mutations as a marker of resistance to anti-EGFR [9, 10]. However the occurrence of KRAS mutations only accounts for 35–45% of non-responsive patients [11]. Remarkably, the mechanisms of EGFR activation in CRC have not been characterized in most of the patients. This contrasts with the situation observed in lung adenocarcinoma where the key mechanism of EGFR activation, underlying sensitivity to EGFR inhibitors, corresponds to activating mutations within the EGFR tyrosine kinase domain [12, 13]. Indeed, in CRC, the amplification of EGFR resulting in overexpression and associated to sensitivity to anti-EGFR is detected in only 10–15% of CRC [1417]. Overexpression of the EGFR ligands, amphiregulin and epiregulin, has been reported to be associated to sensitivity to anti-EGFR mAbs [18, 19].

The EGFR gene contains within the 3′ untranslated region (UTR), 281 bp downstream from the stop codon, a polyadenine tract which is polymorphic (A13/A14). Mono or dinucleotide deletions within this polyA tract have been detected in colon cancer cell lines or CRC exhibiting microsatellite instability (MSI) [20]. These deletions have been shown to stabilize EGFR mRNA, to result in EGFR overexpression in vitro and to increase sensitivity to anti-EGFR antibodies in xenografts [20]. This prompted us to investigate, in CRC patients, the oncogenic impact of genetic variations affecting this regulatory region. To this aim, we used two complementary approaches: first, we determined, in a case control study, whether or not the germline EGFR A13/A14 polymorphism constitutes a genetic risk factor for CRC; second we investigated the frequency and impact of somatic mutations of this repeat in CRC.

Methods

Patients and samples

The germline EGFR A13/A14 polymorphism was investigated in a total of 429 CRC patients of French origin, corresponding to 4 groups: (1) Patients with CRC not selected on age of tumor onset or familial history (n = 179). This group, enriched in MSI tumors, corresponded to 80 MSI and 99 MSS CRC, as determined with a mononucleotide pentaplex panel [21]; (2) patients selected according to three different criteria suggestive of an increased genetic risk for CRC, but without detectable mutations in genes involved in Lynch syndrome or adenomatous polyposis (n = 62): (i) CRC before 61 years of age (or high-risk adenoma before 51 years of age) with a first-degree relative presenting with CRC; (ii) CRC before 51 years of age (or high-risk adenoma before 41 years of age); or (iii) multiple primitive colorectal tumors in the same patient, the first one diagnosed before 61 years of age if cancer or before 51 years of age if high-risk adenoma; (3) patients with Lynch syndrome harboring a mutation in one of the mismatch repair (MMR) genes (n = 100); (4) non selected sporadic CRC (n = 88). For the first group, germline EGFR A13/A14 polymorphism was genotyped from DNA extracted from paraffin embedded (FFPE) or frozen non malignant colorectal tissues. For the three others, DNA was extracted from peripheral blood samples after informed consent for genetic analyses had been obtained. DNA extraction from blood samples was performed using the FlexiGene kit (Qiagen), from FFPE samples, after manual macrodissection, using the Ambion RecoverAll kit (Applied Biosystems) and, from frozen samples, using the Nucleospin® Tissue kit (Macherey-Nagel EURL). EGFR allelic frequency in the general population was determined from 170 French controls, aged from 46 to 92 years.

Somatic mutations of the EGFR repeat were screened from FFPE or frozen tumor samples from the 179 CRC samples (group 1). For each patient, genomic DNA was extracted from paired tumor and normal colorectal tissues.

For each subject, a written consent had been obtained to perform genetic analyses either on blood or colorectal tissue and, in compliance with the Helsinki Declaration, the research programs on the molecular genetics of colorectal cancer had been approved by the ethics committee of Rouen and Nantes University hospitals.

Genotyping of the EGFR3’UTR polyA repeat

The EGFR 3’UTR polyA tract was amplified from 100 ng genomic DNA by fluorescent multiplex PCR targeting EGFR and PCBD2, as control (primers in Additional file 1). Amplification was performed in a final volume of 25 μl containing 1U of Diamond TaqDNA Polymerase® (Eurogentec) and 100 ng DNA, with the following conditions: after an initial step of denaturation at 95°C for 3 minutes, 24 PCR cycles consisting of denaturation at 94°C for 25 seconds, annealing at 58°C for 25 seconds, and extension at 72°C for 25 seconds, followed by a final extension step at 72°C for 25 seconds. Amplicons were separated on an ABI Prism 3100 DNA sequencer (Applied Biosystems), and the resulting fluorescence profiles were analysed using the Genescan software (version 3.7, Applied Biosystems). To ensure an accurate genotyping, we constructed molecular calibrators. To this end, the 3’UTR polyA tract was amplified from genomic DNA extracted from several cell lines obtained from the American Type Culture Collection (LGC Standards): MDA-MB-468 (HTB-132), NCI-H460 (HTB-177), DLD-1 (CCL-221) and SW48 (CCL-231). The amplicons were then cloned into the BamH1-Xho1 site of pCDNA 3.1 (Clontech) and sequenced. Homozygous genotypes ranging from 10 to 14A were identified and heterozygous samples were obtained by mixing equal quantities of homozygous amplicons. Determination of the EGFR genotype was performed by superimposition of the profiles to that obtained from these molecular calibrators. Screening for EGFR somatic mutations was performed for each patient by superimposition of the profiles generated from tumor and paired non malignant CRC tissue.

Measurement of EGFR expression

Frozen tumor tissue (TT) and paired normal tissue (NT) were collected from 21 CRC patients; normal tissue was obtained remote from the tumor, near the section boundary; for tumor tissue, an adjacent control fragment was embedded in paraffin, cut and stained with hemalun-eosin-safran to estimate the percentage of cancerous cells (on average 55%). Total RNA was extracted using the total RNA isolation Nucleospin RNA II® kit (Macherey-Nagel) following the manufacturer’s protocol. RNA quality was assessed by Experion® (BioRad) analysis. Total RNA (1.5 μg) was reverse transcribed using the SuperScript II reverse transcriptase for cDNA synthesis (Life Technologies) in a final volume of 40 μl at 40°C during 50 minutes in the presence of RNAse inhibitors (RNaseOUT™, Invitrogen). Two methods were used to accurately measure EGFR expression: quantitative RT-PCR was performed with the syber green gene expression assay for EGFR and, as internal control, PGK (primers in Additional file 1); reaction was performed with 100 ng of cDNA in the 7300 real time PCR system® apparatus (Applied Biosystem). The level of EGFR mRNA was calculated by relative quantitation using the comparative ΔΔCT threshold cycle method [22]. A semi quantitative RT-PCR (RT-QMPSF) assay was also developed, as previously described [23], and performed in a final volume of 50 μl using 2.5 μl of cDNA and 0.5 μl of Pwo DNA Polymerase® (Roche), using two endogenous control genes, SF3A and PGK (primers in Additional file 1). The PCR conditions were as follows: 95°C for 15 seconds followed by 27 cycles at 94°C for 15 seconds and 58°C for 30 seconds and 72°C for 45 seconds. Amplicons were separated on an ABI Prism 3100 DNA sequencer and the resulting fluorescence profiles were analysed using the Genescan software. The areas under curve (AUC) of amplicons were compared and normalized with the average AUC of control amplicons (SF3A and PGK).

In silicoanalysis of mRNA secondary structures

Four web servers were used to modelize the EGFR mRNA secondary structure according to the number of adenines in the 3′ UTR polyA tract [2427].

Results

We genotyped the EGFR polyA repeat in non malignant colorectal tissue or blood from 429 patients with CRC corresponding to different groups of CRC patients selected or not on age of tumor onset and/or familial history and/or MSI. To ensure an acurate genotyping (Figure 1), we used, as calibrators, cloned EGFR polyA repeats the size of which had been determined by sequencing. Allelic frequencies observed in CRC patients and controls are given in Table 1. Allelic frequencies were in Hardy-Weinberg equilibrium in patients and controls. The frequency of the major allele (A13) was estimated in controls and patients to 76.5 and 72.8%, respectively. No statistically significant difference in allelic frequencies of the EGFR polyA repeat was observed between patients and controls and between each group of patients and controls (Table 1).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2407-13-183/MediaObjects/12885_2012_Article_3808_Fig1_HTML.jpg
Figure 1

Analysis of the germline EGFR 3′UTR polyA repeat polymorphism, using fluorescent multiplex PCR. A: Representative patterns obtained with cloned and sequenced amplicons corresponding to A13, A13/A14 and A14 repeats, from top to bottom. B: Representative patterns obtained with genomic DNA extracted from non malignant colorectal tissues corresponding to A13, A13/A14 and A14 repeats, from top to bottom; the peak to the right corresponds to the control (PCBD2) gene.

Table 1

Allelic frequency of the EGFR 3′UTR polyA repeat in CRC patients and controls a

 

Controls

    

Patients

  
   

Group 1

 

Group 2

Group 3

Group 4

Total

  

MSS

MSI

Total

    

Number

170

99

80

179

62

100

88

429

Age range (median)

46–92 (72)

66–88 (67)

25–99 (71)

25–99 (71)

46–62 (52)

19–66 (42)

70–92 (75)

25–99 (62)

A12

0.6% (0–2)

-

-

-

-

1% (0–4)

-

0.2%(0–1)

A13

76.5% (71–81)

70.7% (64–77)

73.7% (66–80)

72.1% (67–77)

74.2% (65–81)

73% (66–79)

73.3% (66–79)

72.8% (70–76)

A14

22.9% (18–28)

29.3% (23–36)

26.3% (20–34)

27.9% (23–33)

25.8% (18–34)

26% (20–33)

26.7% (20–34)

26.9% (24–30)

p valueb

 

0.15

0.46

0.12

0.90

0.97

0.30

0.19

a For each allelic frequency, confidence interval is given in brackets.

b The p value in each patient group corresponds to the comparison with controls (chi-2 test).

We then screened 179 patients with CRC for somatic mutations of the EGFR polyA repeats, by comparing, for each patient, the PCR profile obtained from tumor to that from paired non malignant tissue (Figure 2). As shown in Figure 2B, somatic EGFR polyA mutations could easily be detected by a clear shift of the EGFR fluorescent peak observed in tumors. In the 99 MSS CRC, we observed no somatic EGFR polyA mutation. In contrast, we detected an EGFR polyA mutation in 47/80 (58.8%) MSI CRC. The detected mutations always corresponded to adenine deletion and no gain was observed. The number of deletions ranged from 1 to 4 adenines and the total number of deletions observed on both alleles was: 1 (25.5%), 2 (27.7%), 3 (17%), 4 (12.8%), 5 (10.6%), 6 (2.1%), 7 (2.1%) and 8 (2.1%). There was no significant difference (chi-2 test, p = 0.70) in somatic mutation frequency (Table 2) in patients with A13/A13, A13/A14 and A14/A14 genotypes.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2407-13-183/MediaObjects/12885_2012_Article_3808_Fig2_HTML.jpg
Figure 2

Detection of EGFR 3′UTR polyA tract somatic mutations, using fluorescent multiplex PCR. The profile generated from malignant tissue (red) was superimposed on that obtained from distant non-malignant tissue (blue) after alignment of the control amplicons (peaks to the right corresponding to PCBD2). A: Pattern observed in a non mutated sample with A13/A14 genotype. B: Pattern observed in a mutated sample with A13/A14 genotype; notice in the tumor sample a shift of the peaks to the left corresponding to A11 and A12 repeats.

Table 2

Frequency of somatic deletions observed in the EGFR 3′UTR polyA tract according to the germline genotype in MSI patients

Germline genotype

Number of samples

Frequency of somatic deletions

A13/A13

45

60.0 ± 2.1%

A13/A14

28

53.6 ± 3.5%

A14/A14

7

71.4 ± 12.6%

To address the specificity of somatic mutations affecting the EGFR 3′UTR polyA tract in MSI CRC, we evaluated in 10 MSI with EGFR mutations and 10 MSS CRC samples the frequency of mutations within two other 3′UTR polyA tracts sharing structure similar to that of the EGFR: a polyA(15) in RAB31 (member RAS oncogene family) and a polyA(14) in ATP6V1G1 (ATPase V1 subunit G1). In all MSI CRC samples with EGFR polyA tract mutations, we also found mutations of RAB31 and ATP6V1G1 polyA tracts, but no mutation was observed in MSS tumors.

We analyzed the potential impact of the EGFR 3′UTR polyA tract mutations on mRNA secondary structure through bioinformatics prediction. Successive deletions of adenine was not predicted to result in any significant alteration of the mRNA structure and, in particular, there was no modification of predicted binding sites for miRNAs (hsa-mir-146a/b, hsa-mir-133b, hsa-mir-7-1/2) or regulating proteins (HuR: AU-rich elements).

We then determined the impact on EGFR expression of the somatic EGFR polyA tract mutations detected in MSI CRC, using real-time PCR quantitation of mRNA and RT-QMPSF (Figure 3). These two methods applied to 11 CRC with EGFR polyA mutation and 10 CRC without mutation yielded identical results (r = 0.75, see Additional file 2: Figure S1A). In 10/11 mutated and 10/10 non mutated samples, we observed, as illustrated in Figure 3, that the level of EGFR mRNA was lower in malignant tissue, as compared to paired normal tissue, although the difference was not significant. In the remaining mutated sample, we observed a slight increase (×1.1) of EGFR expression in tumor by comparison to normal tissue. There was no influence of the total number of adenine deletions on EGFR mRNA levels, even in a sample exhibiting up to 7 adenine deletions (see Additional file 2: Figure S1B). In 8 tumor samples harboring two EGFR alleles of different size and in 10 non malignant tissues from patients with a heterozygous genotype, we could compare the EGFR allelic expression by calculating the mRNA ratios corresponding to the short / long allele. In both cases, we did not observe an obvious allelic expression imbalance, but only a slight increase of expression of the short allele, as compared to the long one (mean 1.11 and 1.15, respectively).
https://static-content.springer.com/image/art%3A10.1186%2F1471-2407-13-183/MediaObjects/12885_2012_Article_3808_Fig3_HTML.jpg
Figure 3

Analysis of EGFR expression in non malignant and tumor colorectal tissues using fluorescent multiplex RT-QMPSF. After adjustment on peaks corresponding to control genes (PGK and SF3A, peaks on the right), amplicons from normal (in blue) and tumor (in red) tissues are superimposed. A: Expression profiles in a non mutated sample from a patient with A13/A14 genotype. B: Expression profiles in a mutated sample from a patient with A13/A14 genotype; notice in the tumor sample a shift of the peaks to the left corresponding to A9 and A11 repeats.

Finally, we evaluated whether the germline EGFR polyA repeat polymorphism or mutational status in tumor influence the risk of tumor recurrence in 64 patients with a localized form of CRC (stage I, II and III) followed for at least two years. There was no difference in the percentages of recurrence according to the germline polyA polymorphism (p = 0.72), nor according to the existence or not of a somatic mutation (p = 0.72). In 18 patients with metastatic disease (stage IV) treated by anti-EGFR (cetuximab or panitumumab), the disease control rate was not influenced by the polyA tract polymorphism (p = 0.78).

Discussion

We evaluated the biological impact, in patients with CRC, of germline or somatic genetic variations occurring within the EGFR 3′UTR polyA tract. First, we observed that the EGFR polyA allelic frequency in 429 CRC patients was similar to that observed in a control sample. Considering the genetic heterogeneity of CRC, we constructed the patient sample with 4 different groups selected or not on the basis of age of tumor onset or familial history or MSI status. The first group, composed of 179 CRC patients unselected on age of tumor onset or familial history, has been, on purpose, enriched in patients with MSI tumors, which had been shown in the original study of Yuan et al. [20] to exhibit a high rate of somatic EGFR mutations. The second group, constituted of 62 patients without detectable mutations within MMR or adenomatous polyposis genes but whose personal or familial history was suggestive of an increased genetic risk, was analyzed to determine whether or not the EGFR polyA polymorphism could act as a genetic risk factor for CRC. We also analyzed a series of 100 patients with Lynch syndrome to evaluate if the EGFR polyA polymorphism could act as a modifier risk factor in patients harboring a MMR gene mutation. Finally, the last group corresponded to 88 unselected sporadic CRC. In none of these groups, could a significant difference in EGFR allelic frequencies with controls be detected, suggesting that the EGFR 3′UTR polyA polymorphism does not modify the genetic risk for CRC. It could be argued that the size of the patient sample or that of the different groups was insufficient to detect a significant difference, but the allelic frequency between patients and controls were remarkably similar (Table 1). We also screened for somatic mutations of the EGFR polyA tract in the group of 179 CRC patients, whose genotypes had been characterized and found that somatic mutations, corresponding to deletions, were detected in 59% of the 80 MSI tumors but in none of the 99 MSS tumors. This confirms, on a larger sample, the results observed by Baranovskaya et al. [28], Yuan et al. [20] and Deqin et al. [29] who had reported, from a series of 40, 16 and 36 MSI CRC a mutation detection rate of 92.5%, 69% and 81%, respectively. Nevertheless, we obtained two results which argue against an oncogenic effect of these somatic mutations: first, the adenine deletions occurring in the 3′UTR polyA tract did not show any specificity with respect to EGFR since they could also be observed in 2 others genes not involved in CRC: RAB31 and ATP6V1G1; therefore the high frequency of somatic EGFR polyA mutations reported in MSI tumors by other studies and this work probably reflects a particular sensitivity of mononucleotide tracts to defective DNA mismatch repair system, as recently reported for the polyT(20) tract of the MT1X gene [30]; second, we found that these mutations did not result into a significant increase of EGFR expression. In a study focused on the CA repeat located within the EGFR first intron, Baranovskaya et al. [28] have also observed, in agreement with our results, that EGFR expression was decreased in MSI CRC. In a sample composed of 16 MSI endometrial adenocarcinomas, Deqin et al. [29] have reported that tumors with EGFR polyA deletions exhibit a slight (1.6) but nevertheless not significant increase of EGFR expression, as compared to that without mutations. Our observation contrasts with results obtained by Yuan et al. [20]. Indeed, these authors had reported, in colon MSI cancer cell lines, that a deletion within the EGFR polyA tract increases in vitro the EGFR mRNA stability. In CRC patients, we observed that, in the majority of the tumor samples with somatic EGFR mutations (91%), the total level of EGFR mRNA was not increased but, in contrast, decreased and this result was obtained using two independent methods. The discrepancy observed between both studies highlights the need to confirm in clinical samples results previously obtained with cell lines which may not be representative of the complexity of gene regulation in clinical samples, because of the genetic drift occurring during in vitro culture.

Conclusion

This study has raised several arguments showing that genetic variations affecting the EGFR polyA repeat are not involved in CRC development: (i) The EGFR polyA polymorphism does not constitute a genetic risk factor for CRC; (ii) somatic mutations of this repeat are commonly observed in MSI CRC, but their frequency reflects a sensitivity of this type of repeat to MSI and not a specific selective advantage; (iii) somatic EGFR polyA mutations do not result into an EGFR mRNA increase in colorectal tissue. Therefore, genotyping of the EGFR polyA tract has no clinical utility to identify patients with a high risk for CRC or patients who could benefit from anti-EGFR antibodies.

Notes

Declarations

Acknowledgments

The authors are grateful to A. Blavier for bioinformatics analyses, to S. Baert-Desurmont and J. Tinat for collecting and providing patient samples, to E. Colasse and P. Maby for technical assistance. This work was supported by the INCa, the French National Cancer Institute.

Authors’ Affiliations

(1)
Inserm U1079, Institute for Biomedical Research and Innovation, University of Rouen
(2)
Digestive Oncology Unit, Department of Hepato-Gastroenterology, Rouen University Hospital
(3)
Department of Gastroenterology and Department of Oncology, Poitiers University Hospital, Laboratoire Inflammation Tissus Epithéliaux et Cytokines, University of Poitiers
(4)
Laboratory of Tumor Genetics, University Hospital
(5)
Department of Pathology, University Hospital
(6)
Department of Genetics, Nantes University Hospital

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D: Global cancer statistics. CA Cancer J Clin. 2011, 61 (2): 69-90. 10.3322/caac.20107.View ArticlePubMedGoogle Scholar
  2. Field K, Lipton L: Metastatic colorectal cancer-past, progress and future. World J Gastroenterol. 2007, 13 (28): 3806-3815.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Cunningham D, Humblet Y, Siena S, Khayat D, Bleiberg H, Santoro A, Bets D, Mueser M, Harstrick A, Verslype C, Chau I, Van Cutsem E: Cetuximab monotherapy and cetuximab plus irinotecan in irinotecan-refractory metastatic colorectal cancer. N Engl J Med. 2004, 351 (4): 337-345. 10.1056/NEJMoa033025.View ArticlePubMedGoogle Scholar
  4. Jonker DJ, O’Callaghan CJ, Karapetis CS, Zalcberg JR, Tu D, Au HJ, Berry SR, Krahn M, Price T, Simes RJ, Tebbutt NC, van Hazel G, Wierzbicki R, Langer C, Moore MJ: Cetuximab for the treatment of colorectal cancer. N Engl J Med. 2007, 357 (20): 2040-2048. 10.1056/NEJMoa071834.View ArticlePubMedGoogle Scholar
  5. Van Cutsem E, Peeters M, Siena S, Humblet Y, Hendlisz A, Neyns B, Canon JL, Van Laethem JL, Maurel J, Richardson G, Wolf M, Amado RG: Open-label phase III trial of panitumumab plus best supportive care compared with best supportive care alone in patients with chemotherapy-refractory metastatic colorectal cancer. J Clin Oncol. 2007, 25 (13): 1658-1664. 10.1200/JCO.2006.08.1620.View ArticlePubMedGoogle Scholar
  6. Van Cutsem E, Kohne CH, Hitre E, Zaluski J, Chang Chien CR, Makhson A, D’Haens G, Pinter T, Lim R, Bodoky G, Roh JK, Folprecht G, Ruff P, Stroh C, Tejpar S, Schlichting M, Nippgen J, Rougier P: Cetuximab and chemotherapy as initial treatment for metastatic colorectal cancer. N Engl J Med. 2009, 360 (14): 1408-1417. 10.1056/NEJMoa0805019.View ArticlePubMedGoogle Scholar
  7. Bokemeyer C, Bondarenko I, Makhson A, Hartmann JT, Aparicio J, de Braud F, Donea S, Ludwig H, Schuch G, Stroh C, Loos AH, Zubel A, Koralewski P: Fluorouracil, leucovorin, and oxaliplatin with and without cetuximab in the first-line treatment of metastatic colorectal cancer. J Clin Oncol. 2009, 27 (5): 663-671. 10.1200/JCO.2008.20.8397.View ArticlePubMedGoogle Scholar
  8. Douillard JY, Siena S, Cassidy J, Tabernero J, Burkes R, Barugel M, Humblet Y, Bodoky G, Cunningham D, Jassem J, Rivera F, Kocakova I, Ruff P, Blasinska-Morawiec M, Smakal M, Canon JL, Rother M, Oliner KS, Wolf M, Gansert J: Randomized, phase III trial of panitumumab with infusional fluorouracil, leucovorin, and oxaliplatin (FOLFOX4) versus FOLFOX4 alone as first-line treatment in patients with previously untreated metastatic colorectal cancer: the PRIME study. J Clin Oncol. 2010, 28 (31): 4697-4705. 10.1200/JCO.2009.27.4860.View ArticlePubMedGoogle Scholar
  9. Di Fiore F, Sesboue R, Michel P, Sabourin JC, Frebourg T: Molecular determinants of anti-EGFR sensitivity and resistance in metastatic colorectal cancer. Br J Cancer. 2010, 103 (12): 1765-1772. 10.1038/sj.bjc.6606008.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Misale S, Yaeger R, Hobor S, Scala E, Janakiraman M, Liska D, Valtorta E, Schiavo R, Buscarino M, Siravegna G, Bencardino K, Cercek A, Chen CT, Veronese S, Zanon C, Sartore-Bianchi A, Gambacorta M, Gallicchio M, Vakiani E, Boscaro V, Medico E, Weiser M, Siena S, Di Nicolantonio F, Solit D, Bardelli A: Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer. Nature. 2012, 486 (7404): 532-536.PubMedPubMed CentralGoogle Scholar
  11. Bardelli A, Siena S: Molecular mechanisms of resistance to cetuximab and panitumumab in colorectal cancer. J Clin Oncol. 2010, 28 (7): 1254-1261. 10.1200/JCO.2009.24.6116.View ArticlePubMedGoogle Scholar
  12. Paez JG, Janne PA, Lee JC, Tracy S, Greulich H, Gabriel S, Herman P, Kaye FJ, Lindeman N, Boggon TJ, Naoki K, Sasaki H, Fujii Y, Eck MJ, Sellers WR, Johnson BE, Meyerson M: EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. Science. 2004, 304 (5676): 1497-1500. 10.1126/science.1099314.View ArticlePubMedGoogle Scholar
  13. Lynch TJ, Bell DW, Sordella R, Gurubhagavatula S, Okimoto RA, Brannigan BW, Harris PL, Haserlat SM, Supko JG, Haluska FG, Louis DN, Christiani DC, Settleman J, Haber DA: Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med. 2004, 350 (21): 2129-2139. 10.1056/NEJMoa040938.View ArticlePubMedGoogle Scholar
  14. Moroni M, Veronese S, Benvenuti S, Marrapese G, Sartore-Bianchi A, Di Nicolantonio F, Gambacorta M, Siena S, Bardelli A: Gene copy number for epidermal growth factor receptor (EGFR) and clinical response to antiEGFR treatment in colorectal cancer: a cohort study. Lancet Oncol. 2005, 6 (5): 279-286. 10.1016/S1470-2045(05)70102-9.View ArticlePubMedGoogle Scholar
  15. Laurent-Puig P, Cayre A, Manceau G, Buc E, Bachet JB, Lecomte T, Rougier P, Lievre A, Landi B, Boige V, Ducreux M, Ychou M, Bibeau F, Bouche O, Reid J, Stone S, Penault-Llorca F: Analysis of PTEN, BRAF, and EGFR status in determining benefit from cetuximab therapy in wild-type KRAS metastatic colon cancer. J Clin Oncol. 2009, 27 (35): 5924-5930. 10.1200/JCO.2008.21.6796.View ArticlePubMedGoogle Scholar
  16. Scartozzi M, Bearzi I, Mandolesi A, Pierantoni C, Loupakis F, Zaniboni A, Negri F, Quadri A, Zorzi F, Galizia E, Berardi R, Biscotti T, Labianca R, Masi G, Falcone A, Cascinu S: Epidermal Growth Factor Receptor (EGFR) gene copy number (GCN) correlates with clinical activity of irinotecan-cetuximab in K-RAS wild-type colorectal cancer: a fluorescence in situ (FISH) and chromogenic in situ hybridization (CISH) analysis. BMC Cancer. 2009, 9: 303-10.1186/1471-2407-9-303.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Tol J, Dijkstra JR, Klomp M, Teerenstra S, Dommerholt M, Vink-Borger ME, van Cleef PH, van Krieken JH, Punt CJ, Nagtegaal ID: Markers for EGFR pathway activation as predictor of outcome in metastatic colorectal cancer patients treated with or without cetuximab. Eur J Cancer. 2010, 46 (11): 1997-2009. 10.1016/j.ejca.2010.03.036.View ArticlePubMedGoogle Scholar
  18. Khambata-Ford S, Garrett CR, Meropol NJ, Basik M, Harbison CT, Wu S, Wong TW, Huang X, Takimoto CH, Godwin AK, Tan BR, Krishnamurthi SS, Burris HA, Poplin EA, Hidalgo M, Baselga J, Clark EA, Mauro DJ: Expression of epiregulin and amphiregulin and K-ras mutation status predict disease control in metastatic colorectal cancer patients treated with cetuximab. J Clin Oncol. 2007, 25 (22): 3230-3237. 10.1200/JCO.2006.10.5437.View ArticlePubMedGoogle Scholar
  19. Baker JB, Dutta D, Watson D, Maddala T, Munneke BM, Shak S, Rowinsky EK, Xu LA, Harbison CT, Clark EA, Mauro DJ, Khambata-Ford S: Tumour gene expression predicts response to cetuximab in patients with KRAS wild-type metastatic colorectal cancer. Br J Cancer. 2011, 104 (3): 488-495. 10.1038/sj.bjc.6606054.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Yuan Z, Shin J, Wilson A, Goel S, Ling YH, Ahmed N, Dopeso H, Jhawer M, Nasser S, Montagna C, Fordyce K, Augenlicht LH, Aaltonen LA, Arango D, Weber TK, Mariadason JM: An A13 repeat within the 3′-untranslated region of epidermal growth factor receptor (EGFR) is frequently mutated in microsatellite instability colon cancers and is associated with increased EGFR expression. Cancer Res. 2009, 69 (19): 7811-7818. 10.1158/0008-5472.CAN-09-0986.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Xicola RM, Llor X, Pons E, Castells A, Alenda C, Pinol V, Andreu M, Castellvi-Bel S, Paya A, Jover R, Bessa X, Giros A, Duque JM, Nicolas-Perez D, Garcia AM, Rigau J, Gassull MA: Performance of different microsatellite marker panels for detection of mismatch repair-deficient colorectal tumors. J Natl Cancer Inst. 2007, 99 (3): 244-252. 10.1093/jnci/djk033.View ArticlePubMedGoogle Scholar
  22. Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001, 25 (4): 402-408. 10.1006/meth.2001.1262.View ArticlePubMedGoogle Scholar
  23. Vezain M, Saugier-Veber P, Melki J, Toutain A, Bieth E, Husson M, Pedespan JM, Viollet L, Penisson-Besnier I, Fehrenbach S, Bou J, Frebourg T, Tosi M: A sensitive assay for measuring SMN mRNA levels in peripheral blood and in muscle samples of patients affected with spinal muscular atrophy. Eur J Hum Genet. 2007, 15 (10): 1054-1062. 10.1038/sj.ejhg.5201885.View ArticlePubMedGoogle Scholar
  24. Hofacker IL: Vienna RNA secondary structure server. Nucleic Acids Res. 2003, 31 (13): 3429-3431. 10.1093/nar/gkg599.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Reeder J, Giegerich R: Design, implementation and evaluation of a practical pseudoknot folding algorithm based on thermodynamics. BMC Bioinformatics. 2004, 5: 104-10.1186/1471-2105-5-104.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Do CB, Woods DA, Batzoglou S: CONTRAfold: RNA secondary structure prediction without physics-based models. Bioinformatics. 2006, 22 (14): e90-e98. 10.1093/bioinformatics/btl246.View ArticlePubMedGoogle Scholar
  27. Bindewald E, Kluth T, Shapiro BA: CyloFold: secondary structure prediction including pseudoknots. Nucleic Acids Res. 2010, 38 (Web Server issue): W368-W372.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Baranovskaya S, Martin Y, Alonso S, Pisarchuk KL, Falchetti M, Dai Y, Khaldoyanidi S, Krajewski S, Novikova I, Sidorenko YS, Perucho M, Malkhosyan SR: Down-regulation of epidermal growth factor receptor by selective expansion of a 5′-end regulatory dinucleotide repeat in colon cancer with microsatellite instability. Clin Cancer Res. 2009, 15 (14): 4531-4537. 10.1158/1078-0432.CCR-08-1282.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Deqin M, Chen Z, Nero C, Patel KP, Daoud EM, Cheng H, Djordjevic B, Broaddus RR, Medeiros LJ, Rashid A, Luthra R: Somatic deletions of the polyA tract in the 3′ untranslated region of epidermal growth factor receptor are common in microsatellite instability-high endometrial and colorectal carcinomas. Arch Pathol Lab Med. 2012, 136 (5): 510-516. 10.5858/arpa.2010-0638-OA.View ArticlePubMedGoogle Scholar
  30. Morandi L, de Biase D, Visani M, Monzoni A, Tosi A, Brulatti M, Turchetti D, Baccarini P, Tallini G, Pession A: T([20]) repeat in the 3′-untranslated region of the MT1X gene: a marker with high sensitivity and specificity to detect microsatellite instability in colorectal cancer. Int J Colorectal Dis. 2012, 27 (5): 647-656. 10.1007/s00384-011-1365-7.View ArticlePubMedGoogle Scholar
  31. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/13/183/prepub

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© Sarafan-Vasseur et al.; licensee BioMed Central Ltd. 2013

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