- Open Access
The analysis of PIK3CA mutations in gastric carcinoma and metanalysis of literature suggest that exon-selectivity is a signature of cancer type
© Barbi et al; licensee BioMed Central Ltd. 2010
- Received: 14 January 2010
- Accepted: 16 April 2010
- Published: 16 April 2010
PIK3CA is one of the genes most frequently mutated in human cancers and it is a potential target for personalized therapy. The aim of this study was to assess the frequency and type of PIK3CA mutations in gastric carcinoma and compare them with their clinical pathological correlates.
We analysed 264 gastric cancers, including 39 with microsatellite instability (MSI), for mutations in the two PIK3CA hotspots in exons 9 and 20 by direct sequencing of DNA obtained from microdissected cancer cells.
The cases harbouring mutations were 42 (16%). All were heterozygous missense single base substitutions; the most common was H1047R (26/42; 62%) in exon 20 and the second was Q546K (4/42; 9.5%) in exon 9. All the mutated MSI cases (8/39) carried the H1047R mutation. No other association between PI3KCA mutations and their clinical pathological covariates was found. A metanalysis of the mutations occurring in the same regions presented in 27 publications showed that ratio between exon 20 and exon 9 prevalences was 0.6 (95% CI: 0.5 -0.8) for colon, 1.6 (95% CI: 1.1 -2.3) for breast, 2.7 (95% CI: 1.6 -4.9) for gastric and 4.1 (95% CI: 1.9 -10.3) for endometrial cancer.
The overall prevalence of PIK3CA mutations implies an important role for PIK3CA in gastric cancer. The lack of association with any clinical-pathological condition suggests that mutations in PIK3CA occur early in the development of cancer. The metanalysis showed that exon-selectivity is an important signature of cancer type reflecting different contexts in which tumours arise.
- Gastric Cancer
- Endometrial Cancer
- PIK3CA Mutation
- Clinical Pathological Feature
- PIK3CA Gene
Gastric cancer is the second cancer cause of death in the world, although its incidence has declined in Western countries. Despite advances in its molecular characterization, to date, the only effective treatment is surgery with curative intent and the median 5-year survival is 25% .
Sporadic gastric cancer may arise along two major molecular pathways: one involves gross chromosomal alteration with multiple losses and gains of large chromosomal regions; the second is characterized by widespread somatic alterations in simple repetitive genomic sequences (microsatellites), as a result of defective DNA mismatch repair complex. These latter are defined microsatellite unstable tumors (MSI), represent about 15% of all the gastric tumors and are associated with a more favorable prognosis, larger size, female gender, advanced age, less lymph node involvement, intestinal histotype and antral location . Common alterations found associated with MSI include promoter methylation of MLH1  and mutations of TGFBR2, IGFR2 and BAX .
Microsatellite stable (MSS) gastric neoplasms show a different set of alterations: several proto-oncogenes, including MET, FGFR2 and ERBB2, are frequently amplified  while inactivation of both alleles of TP53 by loss of heterozygosity and mutation is the most frequent genetic event associated with MSS phenotype . Moreover, loss of TP73, APC, DCC, FHIT and TFF1 are also frequently detected [5, 7].
PIK3CA is a gene that encodes for the p110-alpha subunit of phosphoinositide-3-kinase (PI3K). Recently, a key role as oncogene is emerging for PIK3CA, as it is one of the genes most frequently hit by somatic mutations in several types of human cancer [8, 9]. PI3K is part of a family of ser-thr-kinases that interacts with phosphatidylinositol bisphosphate (4,5-PIP2) to produce the phosphatidylinositol trisphosphate (3,4,5-PIP3), a second messenger with several functions. PIP3 mainly binds the plekstrine homology (PH) domain of a number of target molecules and leads to their activation through cell membrane targeting or modulation of their activity. One of the best characterized targets of PI3K lipid products is the protein kinase Akt. PI3K/Akt activation was demonstrated to be involved in the regulation of several cellular functions like cell survival, cell growth and angiogenesis stimulation, inhibition of apoptosis, translation of several proteins and hence, in the development of cancer [10, 11].
Of the twenty exons that compose the PIK3CA gene, more than 75% of the mutations are found in two hot-spots located in exons 9 and 20, which encode for the helical and kinase domains, respectively . Expression of the most common variants (E542K, E545K and H1047R) is associated with an increased lipid kinase activity and is oncogenic both in cell coltures and in vivo [12, 13]. Mutations affecting the two hot-spots have recently been demonstrated to be functionally different  and their respective rates of mutation have been often reported as associated to specific cancer types or particular patient features [15, 16].
In this study, we analysed 264 gastric cancers for the presence of mutations in the exons 9 and 20, by means of direct sequencing, and correlated the presence of mutations with clinical-pathological features, including MSI phenotype. In addition, we compared the prevalence of mutations occurring in the two exons with other studies investigating primary specimens of human cancer.
Patients and samples
Clinical features of 264 cases of gastric cancers analyzed for mutations in PI3KCA.
Normal and tumor DNA was extracted from manually microdissected paraffin-embedded tissues as described . Mononucleotide microsatellites BAT25 and BAT26 (located in introns of the MSH2 and KIT genes, respectively) were examined by PCR amplification using fluorescent dye-labeled primers as described . PCR amplification and sequencing of PIK3CA exons 9 and 20 have been performed as described , using the following primers Exon9_Forward: GGGAAAAATATGACAAAGAAAGC; Exon9_Reverse: CTGAGATCAGCCAAATTCAGTT; Exon9_Sequencing: TAGCTAGAGACAATGAATTAAGGGAAA-3; Exon20_Forward: CTCAATGATGCTTGGCTCTG; Exon20_Reverse: TGGAATCCAGAGTGAGCTTTC; Exon20_Sequencing: TTGATGACATTGCATACATTCG.
Sequence differences from the NCBI reference sequence were identified via manual inspection of aligned electropherograms assisted by the Mutation Surveyor software package (SoftGenetics, State College, PA).
To investigate the pattern of PIK3CA mutations in other studies involving gastric as well as other cancer types, we analysed the prevalence of PIK3CA mutations in data already present in literature and/or the COSMIC database . The steps performed to search, select papers and collect data are detailed in Additional File 1. The full list of references of included studies is provided in Additional File 2.
For meta-analysis, pooled prevalence estimates, prevalence ratios and confidence intervals were calculated using fixed-effects Poisson regression, adjusted for the number of cases analyzed per study. Prevalences and confidence intervals of single studies were evaluated using Clopper and Pearson method . Correlation of the presence of the H1047R mutation with clinical-pathological features, p-values and confidence intervals were evaluated by means of logistic regression analysis. Correlation with survival was evaluated by means of log-rank test. For Cox multivariate regression, we selected the most informative variables among the models that included mutational status, using a 'forward' stepwise method. A p-value less than 0.05 was considered significant. For all the calculations and illustrations the R statistical software package was used .
Frequency of PI3KCA mutations found in 264 gastric cancers, by mutation type.
Total Mutations (ex. 9)
Total Mutations (ex.20)
We found two missense mutations namely T1052I and T1053I that were never reported before. The mutations were confirmed using a second pair of primers (see Additional File 1). Both mutations involve an aminoacidic change from threonin to isoleucin that implies a change in the hydrophobic properties of the residues and may potentially affect the protein function. One case harboured two mutations namely E545K and L1067F, in exons 9 and 20, respectively.
Distribution of Clinical-pathological covariates according to the presence of PI3KCA mutations in 264 gastric cancers.
0.9 (0.5 - 1.8)
1.6 (0.7 - 3.5)
3.1 (1.2 - 8.1)
0.7 (0.3 - 1.7)
0.8 (0.3 - 2.1)
0.6 (0.2 - 2.2)
1.7 (0.6 - 4.0)
1.5 (0.5 - 4.0)
1.8 (0.9 - 3.8)
1.7 (0.8 - 3.9)
1.1 (0.5 - 2.7)
0.9 (0.2 - 6.5)
1.3 (0.3 - 8.9)
0.7 (0.3 - 1.7)
Survival rate at 2 years (95% CI)
Multivariate Cox survival analysis of 245 gastric cancer patients.
HR (95% CI)
19.1 (6.8- 53.2)
Age (10 years increment)
In order to systematically compare our results with the available literature for stomach and other cancer types, we selected 38 series described in 27 papers analyzing mutations in the PIK3CA locus in primary cancer samples (the full list of references is provided in Additional File 2). We limited the analysis to the mutations occurring at the aminoacids 542-549 and 1043-1048, of exons 9 and 20, respectively, that were analyzed in common between the series. These regions contain the large majority of mutations observed in PIK3CA .
Overall frequency and pooled prevalence ratio of mutations affecting the two hot spots of PIK3CA located in Exon 9 and exon 20 in 36 series grouped by cancer type
Breast Cancer (histotype not specified)
1.0 (0.8 -1.4)
Breast Cancer (lobular histotype)
0.6 (0.3 -1.1)
Breast Cancer (ductal histotype)
1.6 (1.1 -2.3)
4.1 (1.9 -10.3)
0.6 (0.5 -0.8)
2.7 (1.6 -4.9)
Head and Neck squamous Cancer
0.3 (0.0 -1.2)
1.7 (0.4 -8.1)
The aim of this study was to characterize the mutational status of PIK3CA in a large series of gastric cancers in order to determine its prevalence with an adequate precision and to correlate it with clinical-pathological features. The overall prevalence of mutations was 15.9%, a value that is within the range of the currently available literature [8, 23–25], nonetheless the prevalences observed in different series are heterogeneous, ranging from 4.5% to 25%. Reasons for such a heterogeneity may be due to specific interactions of the mutations with environmental and genetic backgrounds, although experimental factors can not be excluded.
To our knowledge, the mutations involving aminoacids 1052 and 1053 (T1052I and T1053I) were never published before, nor are described in the COSMIC database, despite the large number of studies investigating the region. As the mutations imply a change in the hydrophobicity of the aminoacidic residue, a functional role cannot be excluded. The mutations were found in MSS cases that did not show any particular feature.
We also found that the most common PIK3CA mutation (H1047R) was significantly associated with MSI phenotype. The association is moderate and would benefit from confirmation on an indipendent series. An association between PIK3CA mutations and MSI has been reported or at least suggested in both colon and stomach cancer [8, 23, 24, 26]. At variance with our findings, in the two studies regarding gastric cancer and reporting mutations by MSI status, exon 9 and exon 20 mutations were evenly distributed between the subtypes [23, 24]. However, the small number of mutated MSI cases prevents statistical comparison. The fact that only one type of mutation was found in our series of MSI tumors is not surprising as the narrow spectrum of alterations of MSI gastric tumors may, in turn, restrict the type of PIK3CA mutations that are oncogenic in that context.
Despite the large series analyzed, we did not find any correlation of PIK3CA mutations with clinical pathological features of gastric cancers apart from the association between MSI and H1047R. The lack of associations suggests that alteration of PIK3CA is an event that occurs early in a subset of gastric cancers that progresses towards malignancy through other mechanisms. In fact, in a multivariate survival model there was no evident effect of the presence of mutation on prognosis.
Based on our meta-analysis, the ratio between mutation prevalences in exons 9 and 20 can be generally considered a signature of cancer type. In particular, we found a significant exon bias for colon cancer, breast cancer with ductal histotype and endometrium cancer. In colon cancer, exon 9 is significantly more hit than exon 20. This confirms suggestions from previous studies [8, 23, 27]. The opposite mutational pattern was consistently found in studies regarding endometrial cancer with exon 20 largely more hit than exon 9. This peculiarity was already pointed out and suggests a specific mechanism of PI3KCA involvement for endometrial cancer [28–30].
It is less clear whether an exon bias exists in breast cancer as many studies are apparently contradictory (see Figure 1). However, for studies that did furnish the information about the histotype of each sample, we observed a different exon preference between lobular and ductal histotypes as already suggested . For ductal histotype, exon 20 was significantly more hit compared to exon 9, whereas a slight but inverse tendency was found in series of lobular breast cancers. This pattern is not evident in studies where the information about histotype is not available, possibly as an result of mixing different kinds of tumours together.
For squamous head and neck tumors a slight tendency to a greater prevalence of exon 9 mutations was observed among series, although the low incidence of PIK3CA mutations in this kind of neoplasm has probably prevented this tendency to stand out. For glioblastoma, there was no evidence of exon-selectivity, due to the fact that a high percent of non hot-spot mutations are frequently found in this disease [8, 31].
Finally, in stomach cancer series, exon 20 resulted to be more involved than exon 9, although a common trend among the series was substantially missing. The heterogeneity in both overall prevalence and exon-selectivity in stomach cancer may be due to the strong influence that specific etio-pathologic, genetic and environmental factors have on this disease.
Although several of the observations presented in our meta-analysis were sporadically suggested or demonstrated in single papers, this approach allows to gather more convincing evidences by pooling similar studies. Moreover, the meta-analysis has the further advantage of providing an outlook and an estimate of PIK3CA exon-selectivity and standardized rate of mutation in different cancer types, although this might be affected by the limitations derived from retrospective studies.
The association of specific mutations with either cancer type or subtype is in line with recent findings about different mechanisms through which these mutations exert their oncogenic potential. In fact, it has been shown that mutations occurring at the kinasic domain are dependent upon binding with p85, another component of PI3K, to be fully oncogenic, whereas mutations in the helical domain are dependent upon RAS-GTP binding . The dependence of PIK3CA mutations on other signalling components is in keeping with the fact that the genetic background in which tumours develop may require and select specific altered activities of p110-alpha.
We found a relatively high prevalence of PIK3CA somatic mutations further supporting the role of PIK3CA as a major oncogene in gastric cancer. Such prevalence was highly biased towards exon 20, in particular, in MSI cases which seem to carry only one type of exon 20 mutations. By analysis of the mutations occurring in the two standard hot-spot regions of PIK3CA in 27 published papers on six major cancer types (colorectal, breast ductal, breast lobular, stomach, endometrium, head and neck and glioblastoma), we found that exon-selectivity is an important signature of cancer type and subtype reflecting different contexts in which tumours arise.
This study is supported by the AIRC, Associazione Italiana Ricerca sul Cancro, Milan, Italy; Fondazione Cariparo, Padova, Italy; Fondazione Monte dei Paschi di Siena, Siena, Italy; Association for International Cancer Research (AICR-UK) and EU FP6 contract 037297.
- Kim HJ, Karpeh MS: Surgical approaches and outcomes in the treatment of gastric cancer. Semin Radiat Oncol. 2002, 12: 162-9. 10.1053/srao.2002.30818.View ArticleGoogle Scholar
- Beghelli S, de Manzoni G, Barbi S, Tomezzoli A, Roviello F, Di Gregorio C, Vindigni C, Bortesi L, Parisi A, Saragoni L, Scarpa A, Moore PS: Microsatellite instability in gastric cancer is associated with better prognosis in only stage II cancers. Surgery. 2006, 139: 347-56. 10.1016/j.surg.2005.08.021.View ArticleGoogle Scholar
- Fleisher AS, Esteller M, Wang S, Tamura G, Suzuki H, Yin J, Zou TT, Abraham JM, Kong D, Smolinski KN, Shi YQ, Rhyu MG, Powell SM, James SP, Wilson KT, Herman JG, Meltzer SJ: Hypermethylation of the hMLH1 gene promoter in human gastric cancers with microsatellite instability. Cancer Res. 1999, 59: 1090-5.Google Scholar
- Iacopetta BJ, Soong R, House AK, Hamelin R: Gastric carcinomas with microsatellite instability: clinical features and mutations to the TGF-beta type II receptor, IGFII receptor, and BAX genes. J Pathol. 1999, 187: 428-32. 10.1002/(SICI)1096-9896(199903)187:4<428::AID-PATH264>3.0.CO;2-A.View ArticleGoogle Scholar
- Tahara E: Genetic pathways of two types of gastric cancer. IARC Sci Publ. 2004, 327-49.Google Scholar
- Wu MS, Lee CW, Shun CT, Wang HP, Lee WJ, Chang MC, Sheu JC, Lin JT: Distinct clinicopathologic and genetic profiles in sporadic gastric cancer with different mutator phenotypes. Genes Chromosomes Cancer. 2000, 27: 403-11. 10.1002/(SICI)1098-2264(200004)27:4<403::AID-GCC10>3.0.CO;2-1.View ArticleGoogle Scholar
- Bragantini E, Barbi S, Beghelli S, Moore PS, de Manzoni G, Roviello F, Tomezzoli A, Vindigni C, Baffa R, Scarpa A: Loss of Fhit expression is associated with poorer survival in gastric cancer but is not an independent prognostic marker. J Cancer Res Clin Oncol. 2006, 132: 45-50. 10.1007/s00432-005-0045-9.View ArticleGoogle Scholar
- Samuels Y, Wang Z, Bardelli A, Silliman N, Ptak J, Szabo S, Yan H, Gazdar A, Powell SM, Riggins GJ, Willson JKV, Markowitz S, Kinzler KW, Vogelstein B, Velculescu VE: High frequency of mutations of the PIK3CA gene in human cancers. Science. 2004, 304: 554-10.1126/science.1096502.View ArticleGoogle Scholar
- Bachman KE, Argani P, Samuels Y, Silliman N, Ptak J, Szabo S, Konishi H, Karakas B, Blair BG, Lin C, Peters BA, Velculescu VE, Park BH: The PIK3CA gene is mutated with high frequency in human breast cancers. Cancer Biol Ther. 2004, 3: 772-775.View ArticleGoogle Scholar
- Fruman DA, Meyers RE, Cantley LC: Phosphoinositide kinases. Annu Rev Biochem. 1998, 67: 481-507. 10.1146/annurev.biochem.67.1.481.View ArticleGoogle Scholar
- Cantley LC: The phosphoinositide 3-kinase pathway. Science. 2002, 296: 1655-7. 10.1126/science.296.5573.1655.View ArticleGoogle Scholar
- Bader AG, Kang S, Vogt PK: Cancer-specific mutations in PIK3CA are oncogenic in vivo. Proc Natl Acad Sci USA. 2006, 103: 1475-9. 10.1073/pnas.0510857103.View ArticleGoogle Scholar
- Kang S, Bader AG, Vogt PK: Phosphatidylinositol 3-kinase mutations identified in human cancer are oncogenic. Proc Natl Acad Sci USA. 2005, 102: 802-7. 10.1073/pnas.0408864102.View ArticleGoogle Scholar
- Zhao L, Vogt PK: Helical domain and kinase domain mutations in p110alpha of phosphatidylinositol 3-kinase induce gain of function by different mechanisms. Proc Natl Acad Sci USA. 2008, 105: 2652-7. 10.1073/pnas.0712169105.View ArticleGoogle Scholar
- Barbareschi M, Buttitta F, Felicioni L, Cotrupi S, Barassi F, Del Grammastro M, Ferro A, Dalla Palma P, Galligioni E, Marchetti A: Different prognostic roles of mutations in the helical and kinase domains of the PIK3CA gene in breast carcinomas. Clin Cancer Res. 2007, 13: 6064-9. 10.1158/1078-0432.CCR-07-0266.View ArticleGoogle Scholar
- Benvenuti S, Frattini M, Arena S, Zanon C, Cappelletti V, Coradini D, Daidone MG, Pilotti S, Pierotti MA, Bardelli A: PIK3CA cancer mutations display gender and tissue specificity patterns. Hum Mutat. 2008, 29: 284-8. 10.1002/humu.20648.View ArticleGoogle Scholar
- de Manzoni G, Tomezzoli A, Di Leo A, Moore PS, Talamini G, Scarpa A: Clinical significance of mutator phenotype and chromosome 17p and 18q allelic loss in gastric cancer. Br J Surg. 2001, 88: 419-25. 10.1046/j.1365-2168.2001.01667.x.View ArticleGoogle Scholar
- Moore PS, Zamboni G, Brighenti A, Lissandrini D, Antonello D, Capelli P, Rigaud G, Falconi M, Scarpa A: Molecular characterization of pancreatic serous microcystic adenomas: evidence for a tumor suppressor gene on chromosome 10q. Am J Pathol. 2001, 158: 317-21.View ArticleGoogle Scholar
- 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: 279-86. 10.1016/S1470-2045(05)70102-9.View ArticleGoogle Scholar
- Bamford S, Dawson E, Forbes S, Clements J, Pettett R, Dogan A, Flanagan A, Teague J, Futreal PA, Stratton MR, Wooster R: The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website. Br J Cancer. 2004, 91: 355-8.Google Scholar
- Clopper CJ, Pearson ES: The use of confidence or fiducial limits illustrated in the case of the binomial. 1934, Biometrika Trust, 26:Google Scholar
- The R Project for Statistical Computing. [http://www.r-project.org]
- Velho S, Oliveira C, Ferreira A, Ferreira AC, Suriano G, Schwartz S, Duval A, Carneiro F, Machado JC, Hamelin R, Seruca R: The prevalence of PIK3CA mutations in gastric and colon cancer. Eur J Cancer. 2005, 41: 1649-54. 10.1016/j.ejca.2005.04.022.View ArticleGoogle Scholar
- Li VSW, Wong CW, Chan TL, Chan ASW, Zhao W, Chu K, So S, Chen X, Yuen ST, Leung SY: Mutations of PIK3CA in gastric adenocarcinoma. BMC Cancer. 2005, 5: 29-10.1186/1471-2407-5-29.View ArticleGoogle Scholar
- Lee JW, Soung YH, Kim SY, Lee HW, Park WS, Nam SW, Kim SH, Lee JY, Yoo NJ, Lee SH: PIK3CA gene is frequently mutated in breast carcinomas and hepatocellular carcinomas. Oncogene. 2005, 24: 1477-80. 10.1038/sj.onc.1208304.View ArticleGoogle Scholar
- Abubaker J, Bavi P, Al-Harbi S, Ibrahim M, Siraj AK, Al-Sanea N, Abduljabbar A, Ashari LH, Alhomoud S, Al-Dayel F, Uddin S, Al-Kuraya KS: Clinicopathological analysis of colorectal cancers with PIK3CA mutations in Middle Eastern population. Oncogene. 2008, 27: 3539-45. 10.1038/sj.onc.1211013.View ArticleGoogle Scholar
- Campbell IG, Russell SE, Choong DYH, Montgomery KG, Ciavarella ML, Hooi CSF, Cristiano BE, Pearson RB, Phillips WA: Mutation of the PIK3CA gene in ovarian and breast cancer. Cancer Res. 2004, 64: 7678-7681. 10.1158/0008-5472.CAN-04-2933.View ArticleGoogle Scholar
- Miyake T, Yoshino K, Enomoto T, Takata T, Ugaki H, Kim A, Fujiwara K, Miyatake T, Fujita M, Kimura T: PIK3CA gene mutations and amplifications in uterine cancers, identified by methods that avoid confounding by PIK3CA pseudogene sequences. Cancer Lett. 2008, 261: 120-6. 10.1016/j.canlet.2007.11.004.View ArticleGoogle Scholar
- Oda K, Stokoe D, Taketani Y, McCormick F: High frequency of coexistent mutations of PIK3CA and PTEN genes in endometrial carcinoma. Cancer Res. 2005, 65: 10669-73. 10.1158/0008-5472.CAN-05-2620.View ArticleGoogle Scholar
- Velasco A, Bussaglia E, Pallares J, Dolcet X, Llobet D, Encinas M, Llecha N, Palacios J, Prat J, Matias-Guiu X: PIK3CA gene mutations in endometrial carcinoma: correlation with PTEN and K-RAS alterations. Hum Pathol. 2006, 37: 1465-72. 10.1016/j.humpath.2006.05.007.View ArticleGoogle Scholar
- Broderick DK, Di C, Parrett TJ, Samuels YR, Cummins JM, McLendon RE, Fults DW, Velculescu VE, Bigner DD, Yan H: Mutations of PIK3CA in anaplastic oligodendrogliomas, high-grade astrocytomas, and medulloblastomas. Cancer Res. 2004, 64: 5048-50. 10.1158/0008-5472.CAN-04-1170.View ArticleGoogle Scholar
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 (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.