Literature DB >> 25054828

PIK3CA gene mutations and overexpression: implications for prognostic biomarker and therapeutic target in Chinese esophageal squamous cell carcinoma.

Lin Wang1, Ling Shan1, Shaokai Zhang2, Jianming Ying1, Liyan Xue1, Yanling Yuan1, Yongqiang Xie1, Ning Lu1.   

Abstract

AIMS: To evaluate PIK3CA gene mutations and PIK3CA expression status in Chinese esophageal squamous cell carcinoma (ESCC) patients, and their correlation with clinicopathological characteristics and clinical outcomes.
METHODS: Direct sequencing was applied to investigate mutations in exons 9 and 20 of PIK3CA in 406 Chinese ESCC patients. PIK3CA expression was evaluated using immunohistochemistry analysis. The associations of PIK3CA gene mutations and PIK3CA expression with clinicopathological characteristics and clinical outcome were examined.
RESULTS: Thirty somatic point mutations (30/406, 7.4%) were identified in exon 9 whereas no mutations were detected in exon 20. PIK3CA mutations were not correlated with clinicopathological characteristics or clinical outcomes. However in the ESCC patients with family cancer history, PIK3CA mutations were independently correlated with worse overall survival (multivariate hazard ratio (HR) = 10.493, 95% CI: 2.432-45.267, P = 0.002). Compared to normal esophageal tissue, PIK3CA was significantly overexpressed in cancer tissue (P<0.001). PIK3CA overexpression was independently associated with higher risk of local recurrence (multivariate HR  = 1.435, 95% CI: 1.040-1.979, P = 0.028). In female ESCC patients, PIK3CA overexpression was independently correlated with worse overall survival (multivariate HR  = 2.341, 95% CI: 1.073-5.108, P = 0.033).
CONCLUSIONS: Our results suggest PIK3CA gene mutation and overexpression could act as biomarkers for individualized molecular targeted therapy for Chinese ESCC patients.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25054828      PMCID: PMC4108430          DOI: 10.1371/journal.pone.0103021

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


Introduction

Esophageal squamous cell carcinoma (ESCC) is the predominant histological subtype of esophageal cancer in East Asian countries [1], accounting for more than 90% of the total esophageal cancer cases [1]. Epidemiologic studies have reported that alcohol and tobacco use as well as low consumption of fruits and vegetables are risk factors of ESCC worldwide [2]. In some regions of north and central China, the incidence of ESCC exceeds 100/100,000 cases per year [3]. Despite the development of various therapeutic strategies for ESCC, including surgery, chemotherapy, radiotherapy, and combination therapy, the prognosis for ESCC patients remains unfavorable. The 5-year survival rates of ESCC were between 11.1% and 56.5% depending on the clinical stage at the time of diagnosis [4]. Therefore new therapeutic targets for ESCC treatment are urgently needed. With the development of high-throughput genome sequencing and screening technologies, more and more cancer-associated genes have been identified to serve as potential therapeutic targets or prognostic indicators [5]. Using whole-genome and whole-exome sequencing analysis, PIK3CA has been identified as a significantly mutated gene in 4.5% of 88 ESCC cases [6]. In a study using high-throughput genotyping analysis in 80 ESCC cases, PIK3CA was revealed with the highest mutation frequency (11.5%) [7]. In the studies specifically examining PIK3CA mutations, the frequency of PIK3CA mutation were detected in a range from 2.2% to 21% in ESCC patients [7]–[12]. Given the frequency of the mutation, PIK3CA is at the forefront of investigations in ESCC to serve as a potential therapeutic target. PIK3CA gene is located on 3q26.3 chromosome and encodes the catalytic p110 alpha subunit of phosphoinositide 3-kinase (PI3K). The PI3K signaling pathway is deregulated in many types of cancer [13] and only PIK3CA has been reported to be mutated and amplified [14], [15]. More than 80% of the PIK3CA mutations detected were localized in exons 9 and 20 (helical and kinase domain) [16]–[18], with three ‘hot-spot’ mutations, E542K, E545K and H1047R. Cancer cells with PIK3CA mutations have been demonstrated to acquire enhanced sensitivity to PI3K pathway inhibitors [12], [19]–[22]. Moreover clinical phase I trials revealed that the PIK3CA mutation is associated with response to PI3K pathway inhibitors [23]–[25]. In this study, we sought to determine the frequency of PIK3CA mutation and PIK3CA expression status in 406 Chinese ESCC patients. The associations of PIK3CA mutations and PIK3CA expression with clinicopathological factors and patient outcome were evaluated. To the best of our knowledge, this is, by far, the largest study on the prognostic role of PIK3CA mutations and PIK3CA expressions in ESCC to date.

Materials and Methods

Patients and samples

This study included 406 ESCC patients, who underwent radically resection at Cancer Hospital, Chinese Academy of Medical Sciences from 2004 to 2007. The study protocol was approved by the ethics review board of the Chinese Academy of Medical Sciences. We have obtained written informed consent from all study participants under the approval of the ethics review board of the Chinese Academy of Medical Sciences. All of the procedures were done in accordance with the Declaration of Helsinki and relevant policies in China. All the patients did not receive treatments (chemotherapy, radiotherapy or immunotherapy) prior to surgery. Clinicopathological information was available for all the patients, including age, gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic stage, differentiation, lymph node metastasis, tumor embolus, local recurrence and prognosis ( ). Local recurrence in the esophageal cancer was defined as the recurrence at the site of the anastomosis and/or local region, including mediastinal lymph nodes and supraclavicular lymph nodes [26].
Table 1

PIK3CA gene mutations, PIK3CA expression and clinicopathological characteristics in the ESCC patients.

Clinical,epidemiological or pathological featureTotalPIK3CAP valuePIK3CAP value
(N)Mutant (%)Wild-type (%)Positive(+)(%)Negative(-)(%)
All cases 40630(7.4)376(92.6)250(61.6)156(38.4)
Age
 Median age(years) 59595959
 <59 years 19513(6.7)182(93.3)0.593119(61.0)76(39.0)0.826
 ≥59 years 21117(8.1)194(91.9)131(62.1)80(37.9)
Sex
 Male 31826(8.2)292(91.8)0.249200(62.9)118(37.1)0.300
 Female 884(4.6)84(95.4)50(56.8)38(43.2)
Tobacco use
 Yes 25523(9.0)232(90.9)0.103157(61.6)98(38.4)0.997
 No 1517(4.6)144(95.4)93(61.6)58(38.4)
Alcohol use
 Yes 22219(8.6)203(91.4)0.322145(65.3)77(34.7)0.089
 No 18411(6.0)173(94.0)105(57.0)79(42.9)
Family cancer history
 Yes 855(5.9)80(94.1)0.55046(54.1)39(45.9)0.112
 No 32125(7.8)296(92.2)204(63.6)117(36.4)
Tumor location
 Upper thoracic 382(5.2)36(94.8)0.467c 25(65.8)13(34.2)0.425
 Middle thoracic 24516(6.5)229(93.5)155(63.2)90(36.8)
 Lower thoracic 12312(9.8)111(90.2)70(56.9)53(43.1)
Pathologic T classification
 T1 998(8.0)91(92.0)0.60754(54.6)45(45.4)0.075
 T2 1428(5.6)134(94.4)84(59.2)58(40.8)
 T3 16514(8.5)151(91.5)112(67.9)53(32.1)
Degree of differentiation
 Well 725(7.0)67(93.0)0.51241(56.9)31(43.1)0.595
 Moderate 24616(6.5)230(93.5)152(61.8)94(38.2)
 Poor 889(10.2)79(89.8)57(64.8)31(35.2)
Lymph node metastasis
 Yes 17613(7.4)163(92.6)0.998112(63.6)64(36.4)0.455
 No 23017(7.4)213(92.6)138(60.0)92(40.0)
Tumor embolus
 Yes 548(14.8)46(85.2)0.050c 37(68.5)17(31.5)0.260
 No 35222(6.3)330(93.7)213(60.5)139(39.5)
Local recurrence
 Yes 18113(7.2)168(92.8)0.886124(68.5)57(31.5)0.010a
 No 22517(7.6)208(92.4)126(56.0)99(44.0)
Prognosis
 Dead 22619(8.4)207(91.6)0.380149(65.9)77(34.1)0.043a
 Survival 18011(6.1)169(93. 9)101(56.1)79(43.9)

The P-value is significant.

Fisher's exact probability test.

The P-value is significant. Fisher's exact probability test.

PCR and direct sequencing of PIK3CA exon 9 and exon 20

Genomic DNA was extracted from 406 formalin-fixed and paraffin-embedded (FFPE) ESCC tissue samples with minimum of 75% malignant cells. DNA was extracted using the QIAamp DNA Mini kit (Qiagen, Hilgen, Germany) according to manufacturer's instructions. For those samples with PIK3CA mutations, DNA from the paired normal tissue samples was extracted. The PCR amplifications targeting exon 9 and 20 of the PIK3CA gene were performed. For exon 9 amplification, two pairs of primers were used. The first pair included PIK3CA 9F-1, 5′-GTATTTGCTTTTTCTGTAAATCATCTG-3′ and PIK3CA 9R-1, 5′-CATGCTGAGATCAGCCAAATTC-3′. For the samples, which were considered to have exon 9 mutations, the second primer pair was applied. The second primer pair was as follows: PIK3CA 9F-2, 5′-AGTAACAGACTAGCTAGAGAC-3′ and PIK3CA 9R-2, 5′-AAAATCATGTAAATTCTGCTTTATT-3′. For the exon 20, the following primers were used: PIK3CA 20F, 5′-CTCTGGAATGCCAGAACTAC-3′ and PIK3CA 20R, 5′-ATGCTGTTTAATTGTGTGGAAG-3′. The PCR mixture contained 50 ng of DNA, 5 pmol/L of each primer, 2.5 nmol/L of each dNTP, and 1.25 U of Taq Gold DNA polymerase in 11.5 µL of buffer containing 0.04 µmol/L of Mg2+. The cycling conditions were as follows: initial denaturation at 95°C for 10 min, followed by 38 cycles of 95°C for 30 s, 56°C for 30 s, 72°C for 45 s, and a single extension step at 72°C for 10 min. PCR products were treated with Exonuclease I/Antarctic Phosphatase (New England Biolabs, MA, USA) at 37°C for 30 min and 80°C for 15 min. The sequencing primers were the same with the PCR primers. Purified sequencing PCR products were sequenced on an ABI 3500XL analyzer (Applied Biosystems, Caarlsbad, CA) using POP7 polymer.

ESCC Tissue Microarray (TMA)

All samples were reviewed to confirm for ESCC by a pathologist (W.L.). Four hundred and six FFPE ESCC samples, of which two hundred and twenty-six samples had paired normal tissue samples, were constructed onto 10 TMAs. For the patients at pT2 or pT3 stage, two tumor cores and one normal core of 1.0 mm diameter were taken based on hematoxylin and eosin (H&E)-stained sections of each sample. For the patients at pT1 stage, two tumor cores and one normal core of 0.6 mm diameter were taken and constructed onto TMAs. The collection of these specimens was approved by the local ethics committee.

Immunohistochemistry assay

Immunohistochemical staining was performed on 4 µm-thick TMAs and was carried out by a pathologist (W.L.). Briefly, the slides were deparaffinized and antigen retrieval was then performed in a steam cooker for 1.5 minutes in 1 mM citric acid, pH 6.0 (Maixin Biological Techology Co. Ltd., Fuzhou, China). PIK3CA (p110α) rabbit anti-human monoclonal antibody (Cell Signaling Technology, USA) was applied at 1∶100 dilution for 1 h. Universal secondary antibody (DAKO) was applied for 15 min. Diaminobenzidine or 3-amino-9-ethylcarbazole was used as chromogens and slides were counterstained with haematoxylin before mounting. Positive staining for PIK3CA was demonstrated by the presence of brown-yellow or brown granules. PIK3CA expression was scored on a scale from grade 0 to 3+: 0, no staining; 1+, <50% with weak or strong intensity; 2+, ≥50% with weak intensity; and 3+, ≥50% with strong intensity. For statistical analysis, we classified PIK3CA expression of score 0 or 1+ as negative and score 2+ or 3+ as positive [11]. Immunohistochemical staining was independently scored by 2 pathologists (X.L.Y. and Y.J.M.) without any clinicopathological information.

Statistical analysis

Statistical comparisons were performed using the SPSS 16.0 software package. The association between PIK3CA mutations or PIK3CA expression and the clinicopathological variables were performed using the χ2-test or Fisher's exact probability test. The correlation between PIK3CA mutation and PIK3CA expression was determined using the Spearman's test with determination of correlation coefficients(r) and associated probabilities (P). All P-values were two-tailed and a P-value of <0.05 was considered significant. Univariate analysis and multivariate analysis were performed using the Cox proportional hazard regression analysis. Estimation of overall survival was calculated using the Kaplan-Meier method and the statistical differences were analyzed using the log-rank test.

Results

Clinicopathological characteristics of the ESCC samples

A total of 406 ESCC cases, consisted of 318 men (78.3%) and 88 (21.7%) women, were included in this study. The patients' clinicopathological characteristics are summarized in . Their median age was 59 years (range 35 to 80 years). Of all patients, there were 255 cases (62.8%) with smoking habit and 222 cases (54.7%) with drinking habit. In terms of tumor location, the majority of the patients had middle (60.3%) or lower thoracic (30.3%) ESCC. The tumors were poorly differentiated in 21.7%, moderately differentiated in 60.6%, and well-differentiated in 17.7%. Tumor status at time of resection was pT3 disease in 165 (40.6%); pT1 and pT2 were in 99 (24.4%) and 142 (35.0%) of the patients, respectively. There were 43.3% of the cases with lymph node metastasis and 1.3% of the cases with tumor embolus. Follow-up data were complete for the 406 ESCC cases. Median follow-up was 62 months (range 4–107). The local recurrence was occurred in 44.6% of the cases and estimated 5-year overall survival (OS) was 45.3%.

PIK3CA mutations and patients characteristics

We conducted mutational analysis to examine PIK3CA exons 9 and 20 mutations in 406 ESCC cases. PIK3CA mutations were detected in 30 (7.4%) ESCC samples and no mutations were identified in correspondent normal tissues ( , ). The mutations were only observed in exon 9. The most common mutation was the c.1634A>C (p.E545A) mutation, which occurred in 24 samples. Other mutations including c.1625A>G (p.E542G) mutation, c.1633G>C (p.E545K) and c.1633G>A (p.E545Q) were detected in 3, 2 and 1 samples, respectively ().
Figure 1

Mutational analysis of PIK3CA exons 9 and 20 in ESCC.

Representative chromatograms of the four mutations detected in exon 9 of the PIK3CA gene and the corresponding wild-type region. (A) and (B) Wild-type sequence. (C) Mutant sequence E542Q (A1625G); (D) Mutant sequence E545A (A1634C); (E) Mutant sequence E545Q (G1633A); (F) Mutant sequence E545K (G1633C). The arrows indicate the location of the somatic mutations.

Mutational analysis of PIK3CA exons 9 and 20 in ESCC.

Representative chromatograms of the four mutations detected in exon 9 of the PIK3CA gene and the corresponding wild-type region. (A) and (B) Wild-type sequence. (C) Mutant sequence E542Q (A1625G); (D) Mutant sequence E545A (A1634C); (E) Mutant sequence E545Q (G1633A); (F) Mutant sequence E545K (G1633C). The arrows indicate the location of the somatic mutations. The association of PIK3CA mutations with clinicopathological features and clinical outcome were statistically assessed ( ). PIK3CA mutations were not correlated with clinicopathological characteristics, including age, gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic stage, differentiation, lymph node metastasis, tumor embolus, local recurrence, and prognosis. However for the patients with the age <59 years or with family cancer history, PIK3CA mutations were correlated with worse overall survival (log rank P = 0.039, 0.026 respectively) (). In the multivariate Cox regression analysis, PIK3CA mutations were found to be independently associated with worse overall survival in the patients with family cancer history (multivariate HR = 10.493, 95% CI: 2.432–45.267, P = 0.002) ( ).
Table 2

Multivariate Cox regression analysis of clinical variables on overall survival accord to (A) PIK3CA mutation status and (B) PIK3CA expression status.

VariableNMultivariate analysis
Hazard ratio95% CIP value
(A) PIK3CA mutation status
 All ESCC patients a 4061.2560.748–2.1080.388
 ESCC patients with age<59 years b 1951.3630.753–2.4670.307
 ESCC patients with family history of cancer c 8510.4932.432–45.2670.002
(B) PIK3CA expression status
 All ESCC patients a 4061.0720.794–1.4470.651
 ESCC patients with age≥59 years b 2111.2370.753–2.0350.401
 Female ESCC patients d 882.3411.073–5.1080.033
 Non-smoking ESCC patients e 1511.1440.665–1.9680.627

Adjust by age, gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

Adjust by gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

Adjust by age, gender, tobacco use, alcohol use, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

Adjust by age, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

Adjust by age, gender, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

Adjust by age, gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence. Adjust by gender, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence. Adjust by age, gender, tobacco use, alcohol use, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence. Adjust by age, tobacco use, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence. Adjust by age, gender, alcohol use, family cancer history, tumor location, pathologic T classification, degree of differentiation, lymph node metastasis, tumor embolus and local recurrence.

PIK3CA expression and patients characteristics

The PIK3CA expression status was examined in 406 ESCC tumor tissues and 223 paired normal tissues. The PIK3CA protein was mainly localized in cytoplasm. The expression of PIK3CA was detected in 41 of 223 (18.4%) normal tissue samples and 250 of 406 (61.6%) tumor samples ( ). The PIK3CA was significantly overexpressed in ESCC tumor specimens compared to normal samples (P<0.001) ().
Figure 2

PIK3CA expression in ESCC.

Representative immunohistochemistry images of PIK3CA expression across multiple tumor grades. PIK3CA protein was localized on the cytoplasm of tumor cells. Tumors were scored on a scale from grade 0 to 3+. (A) grade 0, 100×; (B) grade 0, 200×; (C) grade 1+, 100×; (D) grade 1+, 200×; (E) grade 2+, 100×; (F) grade 2+, 200×; (G) grade 3+, 100×; (H) grade 3+, 200×; (I) normal mucosa, 100×; and (J) normal mucosa, 200×.

PIK3CA expression in ESCC.

Representative immunohistochemistry images of PIK3CA expression across multiple tumor grades. PIK3CA protein was localized on the cytoplasm of tumor cells. Tumors were scored on a scale from grade 0 to 3+. (A) grade 0, 100×; (B) grade 0, 200×; (C) grade 1+, 100×; (D) grade 1+, 200×; (E) grade 2+, 100×; (F) grade 2+, 200×; (G) grade 3+, 100×; (H) grade 3+, 200×; (I) normal mucosa, 100×; and (J) normal mucosa, 200×. We identified a significant correlation between PIK3CA expression and local recurrence and prognosis (P = 0.010, 0.043, respectively) ( ). In the univariate Cox regression analysis, PIK3CA overexpression was significantly associated with local recurrence (HR = 1.500, 95% CI: 1.092–2.063, P = 0.012) but not with overall survival. In the multivariate Cox model adjusted for the clinicopathlogical and epidemiological features, PIK3CA overexpression were identified to be associated with local recurrence (HR = 1.435, 95% CI: 1.040–1.979, P = 0.028). Other features, including pT stage, lymph node metastasis and tumor embolus, were significantly associated with local recurrence in the multivariate analysis ( ).
Table 3

Cox regression analysis for Local recurrence factors with ESCC patients.

Variables(N)Univariate analysisMultivariate analysis
Hazard ratio (95% CI)P valueHazard ratio (95% CI)P value
Pathologic T classification <0.001a <0.001a
 T1(99) 1.000
 T2(142) 2.273(1.393–3.707)0.001a 1.868(1.139–3.064)0.013a
 T3(165) 4.260(2.673–6.791)<0.001a 3.135(1.936–5.078)<0.001a
Degree of differentiation 0.024a 0.280
 Well(72) 1.000
 Moderate(246) 1.348(0.872–2.085)0.1791.257(0.805–1.962)0.315
 Poor(88) 1.918(1.177–3.123)0.0091.509(0.906–2.514)0.114
Lymph node metastasis
 No(230) 1.000
 Yes(176) 2.532(1.878–3.412)<0.001a 1.647(1.185–2.290)0.003a
Tumor embolus
 No(352) 1.000
 Yes(54) 2.566(1.769–3.722)<0.001a 1.901(1.280–2.822)0.001a
PIK3CA expression
 Negative(156) 1.000
 Positive(250) 1.500(1.092–2.063)0.012a 1.435(1.040–1.979)0.028a

The P-value is significant.

The P-value is significant. According to the Kaplan-Meier analysis shown in , the ESCC patients with PIK3CA overexpression showed a trend towards unfavorable overall survival (P = 0.054). In the subgroups of the patients, including the patients with the age ≥59 years or without smoking habit or the female patients, PIK3CA overexpression was correlated with the overall survival (P = 0.034, 0.047, 0.025, respectively) (). The multivariate Cox regression analysis revealed that in female ESCC patients PIK3CA overexpression was an independent factor associated with an increased risk for shorter overall survival (HR = 2.341, 95% CI: 1.073–5.108, P = 0.033) ( ).
Figure 3

Kaplan-Meier curves for overall survival in ESCC.

(A) Overall survival according to PIK3CA mutation status (P = 0.251). (B) Overall survival according to PIK3CA expression status (P = 0.054).

Kaplan-Meier curves for overall survival in ESCC.

(A) Overall survival according to PIK3CA mutation status (P = 0.251). (B) Overall survival according to PIK3CA expression status (P = 0.054).

PIK3CA mutations and PIK3CA expression in ESCC

The association of PIK3CA mutation and PIK3CA expression were statistically analyzed. No significant correlation between PIK3CA mutation and PIK3CA expression was identified (r = 0.049, P = 0.326) ().

Discussion

PIK3CA is an oncogene in various cancers [27], and thus it is one of the most genetically mutated genes in human cancers, including colorectal, brain and gastric cancers [27]. Also, PIK3CA mutation could constitutively active PI3K/Akt signaling cascade, leading to cell survival, proliferation, anti-apoptosis, tumorigenesis, angiogenesis, invasion and metastasis [27]–[29]. The functional region and hotspot mutation region of PIK3CA is shown in . The schematic representation of mutation landscape in PIK3CA is shown in . The mutation of PIK3CA has been reported in 2.2% to 21% of ESCC patients [7]–[12]. In our study, 7.4% of ESCC cases were identified with PIK3CA mutation. The discrepancy of the mutation rates in different studies is mainly caused by the detection method applied. Using direct sequencing analysis, the frequency of the PIK3CA mutation was identified in 2.2% to 7.7% of ESCC patients [9], [11], [12]. In contrast, the studies using pyrosequencing analysis or other high-sensitive mutation detection methods, the frequency of the PIK3CA mutation was observed in 11.5% to 21% of the cases [7], [8], [10]. The underlying mechanism is most probably the heterogeneous PIK3CA mutation in cancer cells. Although the direct sequencing is not a quantitative analysis method, the peak heights of the mutant and wild-type alleles could partly reflect the ratio of two types of the cells. As shown in the sequencing result in , although more than 75% of the examined cells in each case were malignant cells, the peak height of the mutant alleles in most of the samples was lower than 1/3 of peak height of the wild-type alleles. It indicated that the PIK3CA mutation only occurred in relatively small amount of ESCC cancer cells. Using high-sensitive detection methods, even very low percentage of the cancer cells carrying PIK3CA mutation could be identified. Therefore PIK3CA mutation was detected with higher frequency in such studies. It suggested that if PIK3CA mutation becomes a therapeutic target in clinic in the future, the direct sequencing might not be an ideal detection methodology to be applied. The high-sensitive detection method, such as pyrosequencing, is recommended. PIK3CA mutations were only found in exon 9 in this study, which is consistent with three other studies [9],[11],[12]. It indicated that mutations are more common in exon 9 in ESCC. However, researchers also found PIK3CA mutations in exon 20 (H1047R and H1047L) except in exon 9 [8], [30], [31]. A study reported PIK3CA mutations in exon 4 (L339F), which was rare in other reports [32]. In 30 mutations identified, majority of the mutations were c.1634A>C (p.E545A), which was in line with a study in ESCC [11]. However a few studies have reported to consider c.1634A>C as a result of the amplification of the pseudogene CES located on chromosome 22q11.2, herein not a mutation. This assumption was raised based on the identification of the c.1634A>C in both cancer and normal cells [9], [33], [34]. In our study, we did observe the c.1634A>C in almost half of the ESCC cases using the first pair of the PCR primer. However after using the second pair of PCR primers to re-examine the cases with potential mutation c.1634A>C, only 24 cases were confirmed and the mutation was not detected in the paired adjacent normal tissue. We assumed that the studies, which excluded the possibility of the c.1634A>C to be a mutation, applied unspecific PCR primers which could not prevent the intervention of the pseudogene in the sequencing analysis. Therefore the identification of c.1634A>C in both cancer and normal cells hindered the authors to consider the fact that the c.1634A>C mutation did exist. The exon 9 of PIK3CA encodes the helical domain of the p110α subunit. The mutations in codon 542 or 545 could relieve the inhibitory effect of p85 on p110α leading to increased PI3K activity and enhanced downstream signaling elements, including AKT [35], [36]. Over ten different PI3K inhibitors have been tested in various cancer cells, i.e. breast cancer, lung cancer, colorectal cancer cells, etc. Cells with PIK3CA mutation have been demonstrated to be more susceptible to the inhibitors than those without [12], [19]–[22]. The PI3K inhibitor LY294002 has been shown to reduce proliferation more effectively in an ESCC cell line with E545K mutation compared to the cell lines with wild type PIK3CA [12]. Currently early-phase and phase I clinical trials have proved higher response rate for the cancer patients with PIK3CA mutations treated with PI3K/AKT/mTOR pathway inhibitors than for those without the mutations [23]–[25]. However no clinical trials have been performed in ESCC. Since the mutation c.1634A>C (p.E545A) is uncommon in other cancer types, the susceptibility of the ESCC patients with c.1634A>C to the inhibitors need to be studied. PIK3CA mutation has been reported to indicate a favorable prognosis in Japanese ESCC patients [10]. However in our study PIK3CA mutation was not identified to be associated with clinicopathological features and patient outcomes, which is consistent with two other studies in Korea and China [7], [9]. The possible reasons for the different results might due to different patient cohorts, sample sizes or ethics. Although PIK3CA mutation was not correlated with patient outcome in this cohort, it was independently associated with worse overall survival in the ESCC patients with family cancer history. It has been reported that family cancer history increased the risk of esophageal cancer [37], [38], which indicated that some persons with family cancer history might have germline genetic alterations to make them prone to ESCC. Currently we could not know clearly which signal pathway(s) might be affected in ESCC patients with family cancer history. However according to our study, the dysregulation of PI3K pathway caused by PIK3CA mutation could possibly cooperate with the altered signal pathway(s) to make the patients with family cancer history to have worse survival. As there were only 85 ESCC patients with family cancer history in this study, further study with larger sample size is required. The overexpression of PIK3CA has been reported in various types of cancer including ESCC [11], [39]–[41]. In our study, we detected the overexpression of PIK3CA in 61.6% of ESCC patients. The PIK3CA mutation rate was dramatically less than the protein expression rate and no correlation between the mutation and the expression was identified. It indicated that the PIK3CA mutations were not the sole cause of the high expression of PIK3CA protein in ESCC samples. Other mechanisms, including the gene amplification and/or promoter hypomethylation, might contribute to the high expression of PIK3CA protein as well [9]. The association of PIK3CA overexpression with lymph node metastasis has been identified in colorectal cancer, gastric cancer, ESCC, etc. [11], [39], [42]. In this study we demonstrated an independent correlation of PIK3CA overexpression with local recurrence. It implied that PIK3CA overexpression might be able to increase catalytic activity of PI3K and subsequently overactivated PI3K/AKT pathway to promote tumor progression and metastasis in ESCC [43], [44]. In female ESCC patients specifically, PIK3CA overexpression was independently associated with shorter overall survival. The interaction of PI3K/AKT and estrogen signaling pathways in ESCC has not been well documented. In contrast, more extensive studies have been performed in breast cancer, as both PI3K and estrogen pathways play a role in the initiation and progression of breast cancer [45]–[47]. It has been demonstrated that the PI3K utilizes AKT-dependent and AKT-independent pathway in activating estrogen receptor α (ERα) in breast cancer cells and it could help the cancer cells to escape from tamoxifen-induced apoptosis [48]. Further study is required to clarify the relationship of PI3K and estrogen pathway activation in ESCC. In conclusion, PIK3CA was mutated in 7.4% of Chinese ESCC patients and c.1634A>C (p.E545A) was the dominant mutation type. The family cancer history is a risk factor for shorter overall survival for the patients with PIK3CA mutations. PIK3CA protein overexpression was independently correlated with local recurrence and the sex was independently correlated with overall survival for the patients with PIK3CA overexpression. PI3K pathway is a potential therapeutic target in Chinese ESCC patients. Kaplan-Meier curves for overall survival in ESCC patients according to PIK3CA mutation status. (A) Overall survival in ESCC patients with age <59 years (P = 0.039). (B) Overall survival in ESCC patients with family history of cancer (P = 0.026). (TIF) Click here for additional data file. Kaplan-Meier curves for overall survival in ESCC patients according to PIK3CA expression status. (A) Overall survival in ESCC patients with age ≥59 years (P = 0.034). (B) Overall survival in non-smoking ESCC patients (P = 0.047). (C) Overall survival in female ESCC patients (P = 0.025). (TIF) Click here for additional data file. Functional region and hotspot mutation region of PIK3CA. (TIF) Click here for additional data file. (A) Schematic representation of mutation landscape in PIK3CA as reported in COSMIC database (assessed on May 27, 2014). (B) The overall distribution of known somatic mutations (top panel) and the respective distribution (bottom panel) in tabulated form are provided for cross-reference to somatic landscape in PIK3CA. (TIF) Click here for additional data file. PIK3CA mutations in ESCC. (DOC) Click here for additional data file. PIK3CA expression in ESCC and normal tissues. (DOC) Click here for additional data file. PIK3CA expression and PIK3CA mutations in the ESCC patients. (DOC) Click here for additional data file.
  46 in total

Review 1.  Esophageal cancer.

Authors:  Peter C Enzinger; Robert J Mayer
Journal:  N Engl J Med       Date:  2003-12-04       Impact factor: 91.245

2.  High frequency of mutations of the PIK3CA gene in human cancers.

Authors:  Yardena Samuels; Zhenghe Wang; Alberto Bardelli; Natalie Silliman; Janine Ptak; Steve Szabo; Hai Yan; Adi Gazdar; Steven M Powell; Gregory J Riggins; James K V Willson; Sanford Markowitz; Kenneth W Kinzler; Bert Vogelstein; Victor E Velculescu
Journal:  Science       Date:  2004-03-11       Impact factor: 47.728

3.  Cancer-specific mutations in PIK3CA are oncogenic in vivo.

Authors:  Andreas G Bader; Sohye Kang; Peter K Vogt
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-23       Impact factor: 11.205

Review 4.  Oncogenic PI3K deregulates transcription and translation.

Authors:  Andreas G Bader; Sohye Kang; Li Zhao; Peter K Vogt
Journal:  Nat Rev Cancer       Date:  2005-12       Impact factor: 60.716

Review 5.  The synergistic effects of alcohol and tobacco consumption on the risk of esophageal squamous cell carcinoma: a meta-analysis.

Authors:  Anoop Prabhu; Kenneth O Obi; Joel H Rubenstein
Journal:  Am J Gastroenterol       Date:  2014-04-15       Impact factor: 10.864

6.  Abnormal beta-catenin expression in oral cancer with no gene mutation: correlation with expression of cyclin D1 and epidermal growth factor receptor, Ki-67 labeling index, and clinicopathological features.

Authors:  Tetsuyo Odajima; Yasushi Sasaki; Nobuyuki Tanaka; Yuko Kato-Mori; Hiroko Asanuma; Tatsuru Ikeda; Masaaki Satoh; Hiroyoshi Hiratsuka; Takashi Tokino; Norimasa Sawada
Journal:  Hum Pathol       Date:  2005-03       Impact factor: 3.466

Review 7.  FOXO transcription factors at the interface between longevity and tumor suppression.

Authors:  Eric L Greer; Anne Brunet
Journal:  Oncogene       Date:  2005-11-14       Impact factor: 9.867

8.  AKT activation up-regulates insulin-like growth factor I receptor expression and promotes invasiveness of human pancreatic cancer cells.

Authors:  S Tanno; S Tanno; Y Mitsuuchi; D A Altomare; G H Xiao; J R Testa
Journal:  Cancer Res       Date:  2001-01-15       Impact factor: 12.701

Review 9.  Oncogenic PI3K and its role in cancer.

Authors:  Yardena Samuels; Kajsa Ericson
Journal:  Curr Opin Oncol       Date:  2006-01       Impact factor: 3.645

10.  Phosphatidylinositol 3-kinase mutations identified in human cancer are oncogenic.

Authors:  Sohye Kang; Andreas G Bader; Peter K Vogt
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-12       Impact factor: 11.205

View more
  15 in total

1.  No significant association between PIK3CA mutation and survival of esophageal squamous cell carcinoma: A meta-analysis.

Authors:  Xiao-Qing Ge; Yan-Zheng Yang; Sha-Sha Li; Lu Hou; Jing-Li Ren; Kun-Peng Yang; Xian-En Fa
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-06-06

2.  A subset of esophageal squamous cell carcinoma patient-derived xenografts respond to cetuximab, which is predicted by high EGFR expression and amplification.

Authors:  Hanting Zhu; Chunyu Wang; Jingjing Wang; Dawei Chen; Jiaying Deng; Jianyun Deng; Jianhong Fan; Harun Badakhshi; Xuesong Huang; Likun Zhang; Jie Cai; Sheng Guo; Wubin Qian; Yongzhan Nie; Qixiang Li; Kuaile Zhao
Journal:  J Thorac Dis       Date:  2018-09       Impact factor: 2.895

3.  Clinicopathological Significance of Elevated PIK3CA Expression in Gastric Cancer.

Authors:  Si-Hyong Jang; Kyung-Ju Kim; Mee-Hye Oh; Ji-Hye Lee; Hyun Ju Lee; Hyun Deuk Cho; Sun Wook Han; Myoung Won Son; Moon Soo Lee
Journal:  J Gastric Cancer       Date:  2016-06-24       Impact factor: 3.720

4.  Concordance between PIK3CA mutations in endoscopic biopsy and surgically resected specimens of esophageal squamous cell carcinoma.

Authors:  Ken Hatogai; Satoshi Fujii; Takashi Kojima; Hiroyuki Daiko; Toshihiko Doi; Atsushi Ohtsu; Atsushi Ochiai; Yuichi Takiguchi; Takayuki Yoshino
Journal:  BMC Cancer       Date:  2017-01-09       Impact factor: 4.430

5.  Guidance to rational use of pharmaceuticals in gallbladder sarcomatoid carcinoma using patient-derived cancer cells and whole exome sequencing.

Authors:  Feiling Feng; Qingbao Cheng; Liang Yang; Dadong Zhang; Shunlong Ji; Qiangzu Zhang; Yihui Lin; Fugen Li; Lei Xiong; Chen Liu; Xiaoqing Jiang
Journal:  Oncotarget       Date:  2017-01-17

6.  PIK3CA gene mutations in Northwest Chinese esophageal squamous cell carcinoma.

Authors:  Shi-Yuan Liu; Wei Chen; Ehtesham Annait Chughtai; Zhe Qiao; Jian-Tao Jiang; Shao-Min Li; Wei Zhang; Jin Zhang
Journal:  World J Gastroenterol       Date:  2017-04-14       Impact factor: 5.742

7.  PIK3CA mutation is a favorable prognostic factor in esophageal cancer: molecular profile by next-generation sequencing using surgically resected formalin-fixed, paraffin-embedded tissue.

Authors:  Tomoya Yokota; Masakuni Serizawa; Ayumu Hosokawa; Kimihide Kusafuka; Keita Mori; Toshiro Sugiyama; Yasuhiro Tsubosa; Yasuhiro Koh
Journal:  BMC Cancer       Date:  2018-08-16       Impact factor: 4.430

8.  PIK3CA Is Regulated by CUX1, Promotes Cell Growth and Metastasis in Bladder Cancer via Activating Epithelial-Mesenchymal Transition.

Authors:  Zhongyu Wang; Jun Shang; Zhiqin Li; Huanhuan Li; Chufan Zhang; Kai He; Shikang Li; Wen Ju
Journal:  Front Oncol       Date:  2020-12-03       Impact factor: 6.244

Review 9.  Prognostic and clinical impact of PIK3CA mutation in gastric cancer: pyrosequencing technology and literature review.

Authors:  Kazuto Harada; Yoshifumi Baba; Hironobu Shigaki; Takatsugu Ishimoto; Keisuke Miyake; Keisuke Kosumi; Ryuma Tokunaga; Daisuke Izumi; Mayuko Ohuchi; Kenichi Nakamura; Yuki Kiyozumi; Junji Kurashige; Masaaki Iwatsuki; Yuji Miyamoto; Yasuo Sakamoto; Naoya Yoshida; Masayuki Watanabe; Hideo Baba
Journal:  BMC Cancer       Date:  2016-07-07       Impact factor: 4.430

10.  Linc01014 regulates gefitinib resistance in oesophagus cancer via EGFR-PI3K-AKT-mTOR signalling pathway.

Authors:  Xiao Fu; Guanghui Cui; Shuaishuai Liu; Song Zhao
Journal:  J Cell Mol Med       Date:  2019-11-30       Impact factor: 5.310

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.