Prevalence of KRAS, BRAF, and PIK3CA somatic mutations in patients with colorectal carcinoma may vary in the same population: clues from Sardinia.

BACKGROUND: Role of KRAS, BRAF and PIK3CA mutations in pathogenesis of colorectal cancer (CRC) has been recently investigated worldwide. In this population-based study, we evaluated the incidence rates and distribution of such somatic mutations in genetically isolated population from Sardinia.
METHODS: From April 2009 to July 2011, formalin-fixed paraffin-embedded tissues (N = 478) were prospectively collected from Sardinian CRC patients at clinics across the entire island. Genomic DNA was isolated from tissue sections and screened for mutations in KRAS, BRAF, and PIK3CA genes by automated DNA sequencing.
RESULTS: Overall, KRAS tumour mutation rate was 30% (145/478 positive cases). Distribution of mutation carriers was surprisingly different within the island: 87/204 (43%) in North Sardinia vs. 58/274 (21%) in Middle-South Sardinia (p<0.001). Among 384 CRC cases whose DNA was available, only one (0.3%) patient carried a mutation in BRAF gene; PIK3CA was found mutated in 67 (17%) patients. A significant inverse distribution of PIK3CA mutation rates was observed within Sardinian population: 19/183 (10%) cases from northern vs. 48/201 (24%) cases from central-southern island (p<0.001). This heterogeneity in frequencies of KRAS/PIK3CA somatic mutations is consistent with already-reported discrepancies in distribution of germline mutations for other malignancies within Sardinian population. Preliminary clinical evaluation of 118 KRAS wild-type patients undergoing anti-EGFR-based treatment indicated lack of role for PIK3CA in predicting response to therapy.
CONCLUSIONS: Our findings support the hypothesis that differences in patients' origins and related genetic backgrounds may contribute to even determine the incidence rate of somatic mutations in candidate cancer genes.

Introduction

Colorectal carcinoma (CRC) develops through different pathways, all involving changes at the chromosomal or gene levels. It is now widely accepted that sporadic colorectal cancers frequently arise from preneoplastic lesions through the activation of oncogenes (KRAS and BRAF) as well as the inactivation of tumour suppressor genes (APC, p16, p53, and DCC) and mismatch repair genes, such as MLH1 and MSH2 and, to a lower extent, PMS2 and hMSH6[1]. In addition, activating mutations in BRAF, a member of the RAF gene family, which encode kinases that are regulated by members of the RAS protein family (HRAS, KRAS, and NRAS) and mediate cellular responses to growth signals, were found to be associated with microsatellite instability (MSI) cancers [2,3]. As stated above, KRAS is the member of the RAS gene family mostly mutated in CRC; unlike the BRAF mutations, the KRAS mutations have been found to be equally distributed in all tumours, regardless of their MSI status [4]. These findings acquire an important role from the pathogenetic point of view since the mutations that hit these two genes are reciprocally exclusive. On such a basis, the occurrence of an activating mutation at either one of the two genes may be linked to different molecular processes and, therefore, may generate at least three distinct tumour subtype: BRAFmut/MSI+, KRASmut/MSI+, and KRASmut/MSI- [2-4].

Mutation of KRAS is an established predictor of absence of response to epidermal growth factor receptor (EGFR)-targeted agents [5]. The utility of KRAS as a prognostic marker remains uncertain. A recent meta-analysis reported that KRAS mutation may act as a negative prognostic indicator in both a trans-stage and stage-specific setting [6], whereas other studies, such as the large PETACC-3 translational trial [7], reported the absence of any prognostic value. On this regard, survival from recurrence was markedly worse in BRAF-mutant tumours into the PETACC-3 trial and this observation was consistent with the previously reported poor prognosis of BRAF mutations in advanced (stage IV) CRCs [8]. Unlike KRAS mutations, BRAF mutations might not be predictive of lack of anti-EGFR therapy benefit [3]. Among these genes, nearly all mutations affect the kinase domains at codons 12 or 13 of KRAS and codon 600 of BRAF[3,9].

In addition to the RAS/RAF/MEK pathway, the phosphatidylinositol 3-kinase (PI3K)/AKT/mTOR signaling cascade does participate in regulating cell proliferation and survival, apoptosis, and migration [10]. Activation of the PI3K/AKT/mTOR pathway is frequently mediated by mutations in the p110α subunit of PI3K, PIK3CA, with most mutations (>80%) occurring either in exon 9, which codes for the helical domain, or exon 20, which codes for the kinase domain [10].

In population-based studies, the prevalence of KRAS, BRAF, and PIK3CA mutations ranges from 30% to 40% for KRAS mutations, from 5% to 15% for BRAF mutations, and from 10% to 15% for PIK3CA mutations [11]. Somatic mutations of PIK3CA may coexist with either KRAS or BRAF mutations within the same tumor [12], but KRAS and BRAF mutations appear to be mutually exclusive [13].

In Sardinia, which has experienced little immigration due to its remote location and whose population has inherited many of the same genetic traits, the contribution of somatic mutations in these three genes to the CRC pathogenesis has not been estimated yet. Colorectal cancer represents the second principal death-causing malignancy in Sardinia, with an incidence (standardized rate, 104 per 100.000 inhabitants per year; Sardinian population includes about one million and half inhabitants) quite comparable with that observed in Western countries [14].

As previously demonstrated by our group for other malignancies (mainly, breast cancer and malignant melanoma), the geographical distribution of germline sequence variants across the island seems to be significantly heterogeneous, suggesting that the genetic background may influence the occurrence of cancer gene mutations [15-17]. In this study, we assessed the prevalence and distribution of KRAS, BRAF, and PIK3CA mutations at somatic level among 478 consecutively-collected CRC patients from Sardinian population.

Materials and methods

Samples

Four hundred and seventy-eight patients with histologically-proven diagnosis of colorectal carcinoma (CRC) and regularly participating to the follow-up programs at the Institutions across Sardinia island were included into the study. To avoid any bias, CRC patients were consecutively collected from April 2009 to September 2011; they were included regardless of age at diagnosis and disease characteristics. No CRC case from our series was associated with clinically relevant colorectal polyposis. Sardinian origin was ascertained in all cases through genealogical studies; for all patients, place of birth of their parents and grandparents was assessed in order to assign their geographical origin within the island. Clinical and pathological features for the assessment of the disease stage at diagnosis as well as of the onset age and tumour anatomical location were confirmed by medical records and/or pathology reports. Disease stage classification was assigned according to the American Joint Committee on Cancer guidelines [18].

Formalin-fixed paraffin embedded tissue samples from CRC patients were obtained from the archives of the Institutes and Services of Pathology participating to the study. Tissue samples were estimated to contain at least 70% neoplastic cells by light microscopy.

All patients were informed about the aims of this study and, before the tissue sample was collected, gave a written informed consent. The study was reviewed and approved by the ethical review board of the University of Sassari.

Mutation analysis

All tumour tissues were collected and processed at the laboratory of the Institute of Biomolecular Chemistry of Sassari; genomic DNA was isolated from tissue sections using a standard protocol and DNA quality assessed for each specimen. In particular, paraffin was removed from formalin-fixed paraffin-embedded (FFPE) samples by treatment with Bio-Clear (Bio-optica, Milan, Italy) and DNA was purified using the QIAamp DNA FFPE Tissue kit (QIAGEN Inc., Valencia, CA, USA).

The coding sequence and splice junctions of exons 2 and 3 in KRAS gene (where all pathogenetic mutations occur [9]), exon 15 in BRAF gene (nearly all oncogenic mutations have been detected at the kinase domain in exon 15 [19,20]), and exons 9 and 20 in PIK3CA gene (they represent the mostly mutated domains of this gene [10,21]) were screened for mutations by direct automated sequencing. Briefly, polymerase chain reaction (PCR) was performed on 25–50 ng of isolated genomic DNA in a 9700 Thermal cycler (Applied Biosystems, Foster City, CA, USA); all PCR-amplified products were directly sequenced using an automated fluorescence-based cycle sequencer (ABIPRISM 3100, Applied Bio-systems, Foster City, CA), as previously described by our group [17]. Primer sequences were as follow: KRAS exon 2 forward, TGTGTGACATGTTCTAATATAGTCACAT - exon 2 reverse, GGTCCTGCACCAGTAATATGC - exon 3 forward, GACTGTGTTTCTCCCTTCT - exon 3 reverse, TGGCAAATACACAAAGAAAG; PIK3CA exon 9 forward, GGGAAAAA TATGACAAAGAAAGC - exon 9 reverse, CTGAGATCAGCCAAATTCAGTT - exon 20 forward, CTCAATGATGCTTGGCTCTG - exon 20 reverse, TGGAATCCAGAGTGAGC TTTC; BRAF exon 15 forward, TCATAATGCTTGCTCTGATAGGA - exon 15 reverse, GGCCAAAAATTTAATCAGTGGA. Protocols for PCR-based assays were designed and optimized in our laboratory; they will be available upon request. Screening for BRAF and PIK3CA genes was incomplete in a fifth of patients (94/478; 20%) due to the low amount of available tumour tissue samples.

Statistical analysis

Statistical analysis for the presence of KRAS, BRAF, or PIK3CA mutations versus different variables (sex, age at diagnosis, anatomical site of primary CRC, disease stage, geographical origin of patients) was performed by Pearson’s Chi-Square test. The odds ratio (OR) and 95% confidence interval (CI) values were calculated by logistic regression analysis. The exact coefficient for sample proportion analysis was performed to determine all significant parameters (below 0.05 level). All analyses were performed using the statistical package SPSS/7.5 per Windows.

Results

Paraffin-embedded tumour tissues from a total of 478 patients with advanced colorectal carcinoma (CRC) originating from different geographical areas within Sardinia island were screened for mutations in candidate genes. Considering the primary tumour, left colon was the most frequent anatomical location (left colon, 192 [40%]; right-transverse colon, 172 [36%]; rectum, 114 [24%]) (Table 1). The median age was 64 years (range, 31–87 years), with a preponderance of males (291 men; 61%). At the time of diagnosis, minority of patients presented with localized disease (AJCC stage II, 173 [36%] versus AJCC advanced stages III and IV, 160 [34%] and 145 [30%], respectively) (Table 1).

Table 1

Distribution of mutations according to the characteristics of CRC patients

Characteristic		KRASmut		PI3Kmut
	No. (N = 478)		No. (N = 384)
Sex
Male	293	84 (29%)	231	38* (16%)
Female	185	61 (33%)	153	29 (19%)
Tumor site
Right-transverse colon	172	54 (31%)	138	25* (18%)
Left colon	192	59 (31%)	151	23 (15%)
Rectum	114	32 (28%)	95	19 (20%)
Disease stage
Stage II	173	44 (25%)	143	22 (15%)
Stage III	160	56 (35%)	128	25 (20%)
Stage IV	145	45 (31%)	113	20* (18%)
Tumor grading
Well differentiated	56	17 (30%)	44	6 (14%)
Moderately differentiated	383	118 (31%)	309	54 (17%)
Poorly differentiated	39	10 (26%)	31	7* (23%)
Age, years
< 50	50	16 (32%)	45	5 (11%)
50-59	116	38 (33%)	102	14 (14%)
60-69	178	56 (31%)	151	30* (20%)
70+	134	35 (26%)	86	18 (21%)

* 1 patient also mutated in BRAF.

The full coding sequences and intron-exon junctions of the KRAS gene were sequenced in the entire series of 478 CRC patients; KRAS mutations were detected in 145 (30%) primary tumours (one patient had two mutations, G12D and Q61L). In terms of the gene positions of the identified KRAS mutations, 73% (N = 106) of them affected codon 12 and 20% (N = 29) affected codon 13, whereas the remaining 7% (N = 11) affected other codons (mainly, codon 61) (Table 2). All KRAS mutations detected in the present study have been previously reported in the Human Gene Mutation Database (HGMD) [22] and in the Catalogue Of Somatic Mutations In Cancer (COSMIC) [23]. Considering the patients’ origin within the Sardinia island, distribution of mutations was significantly heterogeneous: 87/204 (43%) mutated cases in North Sardinia versus 58/274 (21%) in Middle-South Sardinia [p<0.001 (OR, 2.82; 95% CI, 2.75-2.89); p normalized scientific notation = 6.8 x 10-4 (Figure 1). Such discrepancies did not result from incorrect standard sequencing as confirmed by an independent duplicate analysis.

Table 2

Somatic mutations ingene

Mutation	No.	%
Codon 12
G12A	13	9
G12C	11	8
G12D*	41	28
G12R	4	3
G12S	5	3
G12V	32	22
Total	106	73
Codon 13
E49K	1	0.5
Codon 49
G13C	4	3
G13D	23	16
G13S/V	2	1
Total	29	20
Codon 59
Q61R	2	1
Q61L*	7	5
Total	9	6
Codon 61
A59E	1	0.5

Percentages are referred to mutation frequencies among the 145 positive cases.

* 1 patient with two mutations.

Figure 1

Frequencies ofandmutations across Sardinia. The three geographical regions within the island are indicated.

Among available DNA samples, 384 primary tumours were also evaluated for occurrence of BRAF (in exon 15) and PIK3CA (in exons 9 and 20) mutations. Overall, mutations were detected in 1 (0.3%) patient for BRAF gene and 67 (17.4%) cases for PIK3CA gene.

The single BRAF-mutated patient presented: a) the substitution of valine by a glutamic acid at position 600 (V600E), which has been demonstrated to account for majority (about 90%) of the BRAF mutations identified [19,20,24]; and b) a concomitant PIK3CA mutation, whereas no KRAS mutation coexisted. For PIK3CA mutations, screening revealed the occurrence of six mutations (p.E542K, p.E545A, p.E545G, and p.E545K in exon 9; p.M1043I and p.H1047R in exon 20), which have been widely reported in mutation databases (HGMD and COSMIC; see above) as commonly associated with CRC, with a recognized functional role of the corresponding mutated proteins. The variant p.E545A was the mutation with the highest frequency in our series (detected in 54/384 [14%] cases) (Table 3). Mutations of PIK3CA and KRAS were found to coexist in 15/384 (3.9%) of cases.

Table 3

Prevalence of somatic mutations ingene

Exon	Mutated cases(%)*	Protein	DNA
9	1 (1.5%)	E542K	c.1624 G > A
	54 (80.6%)	E545A	c.1634A > C
	4 (6.0%)	E545G	c.1634A > G
	1 (1.5%)	E545K	c.1633 G > A
20	1 (1.5%)	M1043I	c.3129 G > T
	6 (8.9%)	H1047R	c.3140A > G

*percentages are referred to the series of 67 positive cases.

Table 4 summarizes the distribution and relationship of the somatic mutations identified in the series of 384 CRC tumours for all three candidate genes. Altogether, a mutation of at least one gene was discovered in about half (174/384; 45.3%) of CRC cases; in other words, 54.7% (N = 210) primary tumours displayed a wild-type genetic status in these three genes (Table 4).

Table 4

Frequencies of somatic mutations in the series of 384 patients screened for all three genes, according to the geographical origin

Patients’ origin	KRAS			PIK3CA	wild-type
		KRAS + PIK3CA	BRAF + PIK3CA
	%	%	%	%	%
North Sardinia (N = 183)	66	8	0	11	98
	36.1	4.4	0	6.0	53.5
Middle-South Sardinia (N = 201)	41	7	1	40	112
	20.4	3.5	0.5	19.9	55.7
Total (N = 384)	107	15	1	51	210
	27.8	3.9	0.3	13.3	54.7

Considering the patients’ origin, PIK3CA mutations were found to be inversely distributed as compared to the KRAS mutations: 19 (10%) out of 183 patients from North Sardinia versus 48 (24%) out of 201 patients from Middle-South Sardinia were found to carry mutations in exons 9 and 20 of the PIK3CA gene (Table 4; Figure 1). As for KRAS, such a heterogeneous distribution of PIK3CA mutations was found highly significant [p<0.001 (OR, 2.45; 95% CI, 2.36-2.55); p normalized scientific notation = 5.9 x 10-4]. To avoid any putative artefact, such discrepancies were again confirmed in independent duplicate sequencing experiments. As shown in Figure 2, majority (63%) of KRAS mutations were found in patients from North Sardinia whereas more than two thirds (70%) of PIK3CA mutations were detected in patients from Middle-South Sardinia. No difference in distribution of KRAS and PIK3CA mutations between rural and urban areas, both globally and within the two (North vs. Middle-South) geographical regions was observed.

Figure 2

Geographical distribution of mutation carriers in the series of 384 patients screened for all three genes. (A) Entire island. (B) Northern and (C) Central-Southern regions. Prevalence of (D) KRAS- and (E) PIK3CA-mutated patients according to the geographical origin.

Both KRAS and PIK3CA mutations were evaluated for association with several pathological parameters: sex, age at diagnosis, anatomical location of primary CRC, tumour grading, AJCC stage of the disease. In our series, no significant correlation was found between the occurrence of KRAS or PIK3CA mutations and all analyzed parameters. However, a non-significant trend for PIK3CA mutations to be associated with a older age of onset and a higher tumour grade was observed (see Table 1). Absence of any association between the different variables was also confirmed by a multivariate analysis.

Finally, we preliminarily evaluated the association between PIK3CA mutations and response to the treatment with anti-EGFR monoclonal antibodies in patients with wild-type KRAS. Among the 118 KRAS mutation negative patients for whom results were available (105 [89%] treated with cetuximab in association with systemic chemotherapy and 13 [11%] with panitumumab alone), the objective response rate at first evaluation was 30% (N = 35; no complete clinical response was registered) (Table 5). In this subset of patients, a slight but not significant difference in rates of partial responses was observed between PIK3CA-mutated (7/29; 24%) and PIK3CA-wild-type (28/89; 31%) cases (Table 5).

Table 5

Clinical response to anti-EGFR therapy inwild-type patients

		KRASwt
	KRASwt (N = 118)	PI3Kwt (N = 89)	PI3Kmut (N = 29)
PR	35 (30%)	28 (31%)	7 (24%)
SD	58 (49%)	45 (51%)	13 (45%)
PD	25 (21%)	16 (18%)	9 (31%)

PR, partial response; SD, stable disease; PD, progression disease. wt, wild-type.

Discussion

In this study, we have reported the prevalence of somatic mutations in KRASPIK3CA, and BRAF genes among patients with advanced colorectal carcinoma from Sardinia, whose population shows genetic peculiarity due to geographical isolation and strong genetic drift [25]. Prevalence of candidate gene mutations may vary among distinct populations due to concurrence of different environmental factors and genetic backgrounds. Furthermore, patients’ geographical origin within the same population may also account for different mutation rates in pathogenetic cancer genes, as already demonstrated for different types of cancer in Sardinian population by our group [15-17]. In summary, we observed a moderate rate of KRAS mutations (145/478; 30.3%) or PIK3CA mutations (67/384; 17.4%) and a very low rate of BRAF mutations (1/384; 0.3%) in a cohort of primary colorectal carcinomas.

Prevalence of KRAS mutations in our series is consistent with data from literature, indicating that such an alteration can be found in 30-40% of colorectal carcinomas [6]. Controversial data have been instead published about the PIK3CA mutation rates, ranging from 7% [26] to 30% [27] of CRC cases presenting a mutated PIK3CA. In the present study, all detected PIK3CA variants have been previously demonstrated to be oncogenic in CRC cellular models [28] and commonly associated with colorectal carcinoma (17%; see Table 3); the mutation rate was therefore comparable with that described in majority of previous reports.

The most surprising finding was the nearly lack of BRAF mutations in our series. In recent meta-analyses, the BRAF V600E mutation - which represents the most common mutation in BRAF gene (more than 90% of cases) - was detected in about 9% of primary colorectal carcinomas [29,30]. One could speculate that the very low frequency of BRAF mutation detected in our series may be somehow due to patients’ origin or, in other words, to the peculiarity of the genetically-isolated Sardinian population. On this regard, it cannot be excluded that different pathogenetic mechanisms of transformation could occur in different populations. Microsatellite instability (MSI), a recognized marker of a tendency for replication errors in human cancers, has been widely indicated as a factor associated with higher frequency of mutations in BRAF gene among colorectal carcinomas [29,31,32]. Although such an analysis was not conducted in the present study, Sardinian CRC population has been previously demonstrated to present an incidence of MSI similar to that observed in other CRC populations from Western countries [33,34]. Therefore, this factor could not explain the striking discrepancy on the BRAF mutation prevalence in our series.

Considering the two prevalent alterations, KRAS and PIK3CA mutations were more or less equally distributed among the different patients’ subsets, and no statistically significant correlation with sex, onset age (though patients with older age at diagnosis and a higher tumour grade are more likely to present with a PIK3CA mutation), disease stage, primary CRC location, or tumour grading was observed (see Table 1).

As schematically represented in Figure 2, we made comparisons between prevalence of KRAS and PIK3CA mutations within different geographical areas of the island. In a population sharing a quite similar lifestyle and diet habit across the island (moreover, smokers were homogeneously distributed among patients of different origin - though such an information from medical records was available in only about 70% of cases from our series), the observation that a higher frequency of KRAS mutations was found in CRC cases from North Sardinia (43% vs. 21%) whereas a higher prevalence of PIK3CA mutations was found in patients from South Sardinia (24% vs. 10%) strongly suggest that different “genetic background” may also induce discrepant penetrance and distribution of somatic mutations in candidate cancer genes. As for similar data reported by our group in breast cancer and melanoma, the geographical distribution of the genetic variants in the island seems to be related to the specific large areas of Sardinia, which reflect its ancient history: the North area, delimited by the mountain chain crossing Sardinia and linguistically different from the rest of the island; and the Middle-South area, land of the ancient Sardinian population and domain of pastoral culture. Nevertheless, our findings clearly indicate that mutation frequency for any candidate cancer gene needs to be accurately evaluated in each geographical area within every single population. Due to this unexpected heterogeneity in distribution of somatic mutations in such few main genes, we already started the collection of tumour DNA samples from Sardinian colorectal cancer patients in order to perform a whole-exome sequencing and define a more comprehensive pattern of mutations in this population.

Finally, although performed on a limited number of CRC cases, our preliminary data seemed to indicate no correlation between PIK3CA mutations and response to the anti-EGFR treatment in patients with wild-type KRAS (objective responses were considered at first evaluation only) (see Table 5). A second study focused on evaluating such clinical aspects in a larger subset of patients is ongoing.

KRAS mutations are considered as an early event in the sequential accumulation of molecular alterations underlying the progression from colorectal adenoma to malignant carcinoma, resulting in an important tumour growth advantage. During the recent past years, a targeted therapy with monoclonal antibodies (cetuximab and panitumumab), blocking the EGFR-driven cell proliferation signals, has been introduced into the therapy of metastatic colorectal cancer [9,35]. No significant response to therapy with anti-EGFR antibodies have been observed in colorectal cancer patients exhibiting KRAS mutations [36]. Moreover, majority of colorectal carcinomas exhibiting wild-type KRAS do not respond to such therapies either [9]. These phenomena are expected from the molecular point of view, since EGFR tyrosine kinase transmits proliferation signals via RAS-GTPase on the cell membrane inner surface, which in turn can bind effector proteins such as RAF or PIK3CA kinases [37]. Therefore, the occurrence of functional integrity of the RAS-driven pathways - BRAF-MEK-ERK and PIK3CA-AKT - is necessary in order to really interfere with tumour cell growth through inhibition of EGFR target. In other words, the assessment of mutational status of BRAF and PIK3CA genes into the KRAS wild-type population may indeed improve the selection of patients presenting such a functional integrity of the RAS-driven pathways (though we are aware that additional alterations in downstream effectors may intervene). In contrast to KRAS, the heterogeneity of BRAF and PIK3CA mutations has not been adequately investigated in colorectal cancer thus far.

In the present study, because some somatic mutations (in BRAF and PIK3CA genes or in KRAS and PIK3CA genes) occurred concomitantly in a given patient, which is in line with literature, a total of about 45% of all patients showed at least one mutation in any of these three genes (see Table 4). Therefore, our data suggest that including mutation analyses for BRAF and PIK3CA in addition to KRAS into a standard diagnostic setting of colorectal cancer would allow the identification of an additional fraction (in our case, about 15%) of patients who cannot be considered as “true wild-type” for such main proliferation-controlling genes. However, whether or not these additional patients might benefit from EGFR-specific antibody therapy has to be verified in prospective clinical studies.

Conclusions

Although Sardinian population is considered genetically homogeneous, the results obtained in the present study may represent a clear indication that: a) differences into the genetic background - related to distinct patients’ origin within the island - may account for different mutation rates in candidate cancer genes (in our series, KRAS and PIK3CA), even at somatic level; and b) mutation frequency for any candidate cancer gene needs to be accurately evaluated in each geographical area.

Abbreviations

COSMIC: Catalogue of somatic mutations in cancer; CRC: Colorectal carcinoma; EGFR: Epidermal growth factor receptor; FFPE: Formalin-fixed paraffin-embedded; HGMD: Human gene mutation database; MSI: Microsatellite instability; PCR: Polymerase chain reaction.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

GPa, performed mutation analysis, data analysis and interpretation, helped to draft the manuscript; MC, carried out mutation analysis; ACon, BM, GB, AP, MI, FC, VT, TS, and GS participated in patients' collection and data acquisition; FT, performed quality control of pathological data; MB, performed statistical analysis; GPi, performed data analysis and interpretation, participated in the design of the study, drafted the manuscript; Acos, performed pathological review and data interpretation, conceived of the study. All authors read and approved the final manuscript.