Literature DB >> 32297641

The prognostic role of c-MYC amplification in schistosomiasis-associated colorectal cancer.

Weiyu Pan1, Weixia Wang1, Jie Huang2, Kui Lu1, Sinian Huang1, Dongxian Jiang2, Dacheng Bu1, Jing Liu1, Hongyan Jing1, Junxia Yao1, Yingyong Hou1,2.   

Abstract

OBJECTIVE: The purpose of this study was to explore the prognostic role of c-MYC amplification in colorectal cancer, particularly in schistosomiasis-associated colorectal cancer.
METHODS: Three hundred and fifty four cases of colorectal cancer, which were from Qingpu Branch of Zhongshan Hospital affiliated to Fudan University, were retrospectively analyzed in a tissue microarray (TMA) format, with fluorescence in situ hybridization (FISH) assay and immunohistochemistry (IHC).
RESULTS: c-MYC gene amplification was found in 14.1% (50 out of 354) of patients with colorectal cancer and was correlated with old age (P = 0.028), positive lymph node metastasis (P = 0.004) and advanced stage tumors (P = 0.002). The overexpression of c-MYC was closely associated with the amplification status (P = 0.023). Kaplan-Meier survival curves for overall survival (OS) showed a statistically significant difference for patients with c-MYC amplification in full cohort of colorectal cancer, stage III-IV set and patients with lymph node metastasis (P = 0.002, 0.034, 0.012, respectively). Further analysis found c-MYC amplification associated with poorer survival in the subgroup of colorectal cancer with schistosomiasis (CRC-S, P < 0.001), but not in colorectal cancer without schistosomiasis (CRC-NS, P = 0.155). By multivariate analysis, c-MYC amplification was an independent poor-prognostic factor in CRC-S set (P = 0.046).
CONCLUSIONS: Our study firstly found c-MYC amplification could predict poor prognosis in schistosomiasis-associated colorectal cancer, but not in colorectal cancer without schistosomiasis.
© The Author(s) 2020. Published by Oxford University Press.

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Keywords:  zzm321990 Schistosoma japonicumzzm321990 ; zzm321990 c-MYCzzm321990 ; colorectal cancer; gene amplification; prognosis

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Year:  2020        PMID: 32297641      PMCID: PMC7160914          DOI: 10.1093/jjco/hyz210

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


Introduction

Colorectal cancer is the fourth most common cancer and the second leading cause of cancer deaths in the world (1). An estimated 1.09 million new colorectal cancer cases and 551 269 colorectal cancer deaths occurred in 2018 (1). Approximately 25% of patients have metastatic disease at diagnosis and ~50–60% of patients diagnosed with colorectal cancer go on to develop metastatic disease (2). Although the advance of surgery, radiotherapy and chemotherapy has improved the survival of colorectal cancer patients in recent years, the 5-year survival in patients with stage IV disease is 14% (3). Response to treatment and patients’ survival were variable among different population. It was known that tumor heterogeneity is a potential cause for these varied clinical outcomes (4). Since colorectal cancer is known to be a heterogeneous disease with diverse molecular alterations, which involve in biological tumor progression. Thus, a precise molecular marker could be used to predict patients’ survival or monitor cancer recurrence, which is urgently needed. c-MYC, a proto-oncogene located on chromosome 8q24, is involved with regulating cell proliferation, differentiation and apoptosis (5). In solid tumors, such as breast, ovary and prostate, c-MYC amplification has been documented to be related to lymph node metastasis, recurrence and disease progression to a variable degree (6–9). These results manifested the possibility of c-MYC as a clinically useful indicator in the prognosis of cancer. However, the criteria for c-MYC amplification in colorectal cancer have not been unified, and whether it could be an independent prognostic factor in colorectal cancer that has been scarcely investigated. And recent studies provided inconsistent conclusions (10–13). Some early studies revealed the incidence of c-MYC amplification in colorectal cancer and found it was associated with tumor invasion and poor prognosis (14,15), but a recent study showed c-MYC amplification was unrelated with clinicopathologic features and clinical outcomes (12). Therefore, further detailed analysis is needed to confirm the prognostic significance of c-MYC amplification in colorectal cancer. Intriguingly, we observed schistosome eggs under microscope in hematoxylin and eosin (HE) stained slides from our cohort. Qingpu District used to be schistosomiasis endemic areas and majorly infected with Schistosoma japonicum. In endemic areas, it is not uncommon to detect schistosome eggs in the intestines of colorectal cancer patients, but the relationship between schistosomiasis and colorectal cancer remains controversial. In Egypt, the reports tend to deny any association of S. mansoni and colorectal cancer (16). In Asia, S. japonicum infection is considered a risk factor for colorectal cancer (17). This may be due to the higher egg production of S. japonicum female worms and that the eggs are laid in large aggregates that induce intensive tissue reactions in host organs (18). Here, we analyzed c-MYC amplification status in 354 colorectal cancer patients using tissue microarrays (TMA) by FISH, and compared its amplification in patients with schistosomiasis and without schistosomiasis groups. Besides, we also compared c-MYC amplification status in different stage and different state of lymph node metastasis. We investigated correlations between c-MYC amplification status and prognosis in colorectal cancer.

Materials and methods

Patients and samples

The whole cohort was consisted by 354 colorectal cancer patients who underwent surgical resection from Qingpu Branch of Zhongshan Hospital affiliated to Fudan University, from January 2008 to August 2016. None of them received preoperative chemotherapy or radiation therapy. Clinical follow-up data and clinicopathological characteristics, such as age, gender, tumor site, clinical stage, were obtained from medical records and pathologic reports. Two expert pathologists reviewed HE-stained slides to determine the diagnosis and to restage the tumors according to the eighth edition of American Joint Committee on Cancer (AJCC). The diagnosis of schistosomiasis was done by finding schistosome eggs in HE-stained slides. The present study has been carried out in accordance with the Declaration of Helsinki and was approved by the local institution’s Human Research Ethics Committee. Prior written informed consent was obtained from all patients.

Tissue microarrays

The TMA blocks were manufactured from the most representative areas of individual paraffin blocks, as previously described (19). Briefly, reviewed HE-stained slides and marked the represented areas in tumor tissues, and the single core (2-mm wide and 6-mm long) for each case was precisely arrayed into a new recipient paraffin block. The cores containing >20% tumor cells were considered as valid cores.

Fluorescence in situ hybridization (FISH)

FISH for c-MYC amplification was performed on the TMA sections of 4-μm thickness by using commercial available probe (MYC (8q24) Probe, lot: 201812001, LBP Medicine Science and Technology Company, LTD, Guangzhou, China). c-MYC probe would hybridize to the band 8q with Spectrum Red signal, CEP8 probe would hybridize to the centromeric region of chromosome 8 with Spectrum Green signal. The FISH slides were interpreted by two experienced evaluators with a fluorescence microscope (Olympus BX43, Olympus Optical Company, LTD, Tokyo, Japan) (Fig. 1A and B). A ratio of the total number of c-MYC signals to the total number of CEP8 signals in at least 60 non-overlapping tumor nuclei was determined. Cells with no signals or with signals of only one color were disregarded. When the red c-MYC signals were clearly amplified (large clouds of amplification), we assigned 20 red signals and counted the green CEP8 signals. For such cases, the ratio was defined as 20 divided by the average number of green signals per cell. c-MYC:CEP8 ratio ≥1.8 was considered as the criterion for gene amplification (20).
Figure 1.

(A-B) Representative patterns of c-MYC gene by FISH (oil immersion, ×1000). (A) c-MYC amplification (c-MYC:CEP8 ratio = 9.03). (B) c-MYC gene disomy (c-MYC:CEP8 ratio = 0.97). (C) Typical sample of schistosomiasis-associated colorectal cancer, the red arrows indicate schistosome eggs (HE, ×100). (D) Positive staining for c-MYC showed frequent nuclear expression (×200).

(A-B) Representative patterns of c-MYC gene by FISH (oil immersion, ×1000). (A) c-MYC amplification (c-MYC:CEP8 ratio = 9.03). (B) c-MYC gene disomy (c-MYC:CEP8 ratio = 0.97). (C) Typical sample of schistosomiasis-associated colorectal cancer, the red arrows indicate schistosome eggs (HE, ×100). (D) Positive staining for c-MYC showed frequent nuclear expression (×200).

Immunohistochemistry (IHC)

IHC labeling was performed as previously described (21) by Ascend Aliya autostainer (Ascend microsystems, Guangzhou, China), using a commercially available rabbit monoclonal c-MYC antibody (clone EP121, lot: 180712803C1, MXB Biotechnologies, Fuzhou, China). c-MYC expression was evaluated by two pathologists independently, who were blinded to clinic data. The percentage of positively stained cells and staining intensity were all evaluated. When nucleus of strong and moderate staining in >10% of the neoplastic cells, it was regarded as positive. Otherwise, the results were recorded as negative (10).

Statistical analysis

The association between c-MYC status and clinicopathological characteristics was evaluated by using the Chi square and Fisher’s exact tests. Overall survival (OS) was defined as the time of surgery to death. Kaplan–Meier curves with log-rank tests were used to determine the prognostic significance for OS, and multivariate Cox proportional hazard regression analysis was used to identify the independent prognostic factors. All statistical analyses were performed by using SPSS version 20.0 and GraphPad prism 7.0. P values <0.05 were considered statistically significant.

Results

Patient characteristics

The clinicopathologic characteristics of the study cohort are summarized in Table 1. Among these patients, 39.0% (138 out of 354) had schistosomiasis (Table 1 and Fig. 1C). The median age of patients with schistosomiasis was 74 years (CRC-S, range 54–91), and age of patients without schistosomiasis was 64 years (CRC-NS, range 33–90). The differences of clinicopathologic characteristics between CRC-S set and CRC-NS set were summarized in Supplementary Table S1. There was no magnificent difference between two sets except for age (P < 0.001, Supplementary Table S1).
Table 1

The association between clinicopathological characteristics and c-MYC status in full cohort of colorectal cancer patients (N = 354)

CharacteristicsAll patients c-MYC amplification P valuesc-MYC IHC P values
No.%NoYesNegPos
Age0.0280.627
 <608423.766182559
  ≥ 6027076.32383288182
Gender0.7750.036
 Female14139.81221936105
 Male21360.21823177136
Tumor site0.0770.460
 Rectum9627.180162868
 Left-sided11532.594213481
 Right-sided14340.4130135192
Tumor sizea0.0750.269
 <5 cm17449.21443050124
  ≥5 cm15443.51381653101
Differentiation0.7560.165
 Low8423.7731181189
 High27076.3231393252
Invasive depth0.2110.033
 I + II8122.97381863
 III27377.12314295178
Lymph node metastasis0.0040.747
 No20858.81882065143
 Yes14641.2116304898
Clinical stage0.0020.889
 I + II19354.51761761132
 III + IV16145.51283352109
Schistosomiasis0.8780.344
 No21661.01853173143
 Yes13839.0119194098

a: Missing data.

Abbreviation: IHC, immunohistochemistry; Pos, positive; Neg, negative.

Invasive depth I = confined to submucosal layer; Invasive depth II = invasion of muscular layer; Invasive depth III = beyond the adventitia. P values are calculated by using the Chi square and Fisher’s exact test.

The association between clinicopathological characteristics and c-MYC status in full cohort of colorectal cancer patients (N = 354) a: Missing data. Abbreviation: IHC, immunohistochemistry; Pos, positive; Neg, negative. Invasive depth I = confined to submucosal layer; Invasive depth II = invasion of muscular layer; Invasive depth III = beyond the adventitia. P values are calculated by using the Chi square and Fisher’s exact test.

c-MYC status and correlation with clinicopathologic features

The median of c-MYC:CEP8 ratio identified by FISH was 1.20 (range of 0.83–9.03). In present study, results demonstrated that c-MYC amplification was detected in 14.1% (50 out of 354) of patients (Fig. 1A) by defining the c-MYC amplification as c-MYC:CEP8 ≥1.8. There was no difference between CRC-S set and CRC-NS set in the distribution of c-MYC:CEP8 ratio (Fig. 2A). Table 1 showed the correlation between c-MYC amplification status and clinicopathologic features in total of 354 patients. Briefly, c-MYC amplification was linked with young age (P = 0.028), positive lymph node metastasis (P = 0.004) and advanced stage (P = 0.002). Overexpression of c-MYC was observed in 68.1% (241 out of 354) of full cohort (Fig. 1D) and associated with male (P = 0.036) and deeper invasive depth (P = 0.033). There were 82% (41 out of 50) c-MYC amplification samples showed strong nuclear protein expression, by statistical analysis, the nuclear expression of c-MYC was significantly related with gene amplification (P = 0.023) (data not showed).
Figure 2.

(A) Distribution of c-MYC:CEP8 ratio in CRC-NS set. (B–F) Kaplan–Meier survival curves illustrating prognostic effects of c-MYC amplification in CRC. (B) c-MYC amplification for OS in full cohort. (C) c-MYC amplification for OS in stage I-II set. (D) c-MYC amplification for OS in stage III-IV set. (E) c-MYC amplification for OS in patients without lymph node metastasis. (F) c-MYC amplification for OS in patients with lymph node metastasis.

(A) Distribution of c-MYC:CEP8 ratio in CRC-NS set. (B–F) Kaplan–Meier survival curves illustrating prognostic effects of c-MYC amplification in CRC. (B) c-MYC amplification for OS in full cohort. (C) c-MYC amplification for OS in stage I-II set. (D) c-MYC amplification for OS in stage III-IV set. (E) c-MYC amplification for OS in patients without lymph node metastasis. (F) c-MYC amplification for OS in patients with lymph node metastasis.

Survival analyses in full cohort of patients with colorectal cancer

The median follow-up times were 62.4 months (range from 0.4 to 134.4 months). During the follow up, there were 41.8% (148 out of 354) patients died. Mean and median times to OS were 62.63 and 62.49 months, respectively. A Kaplan–Meier curve for OS showed c-MYC amplification was significantly associated with poor survival in total colorectal cancer patients (P = 0.002) (Fig. 2B). Univariate analyses involving Cox proportional hazards models showed that age, gender, invasive depth, lymph node metastasis, clinical stage, differentiation, schistosomiasis and c-MYC amplification had association with OS (Table 2). In multivariate analysis for OS, age, gender, clinical stage, differentiation and c-MYC amplification were identified as independent poor prognostic factors.
Table 2

Univariate and multivariate survival analyses of clinicopathological and molecular features for overall survival (OS)

VariableAll patientsPatients with stage I-II diseasePatients with stage III-IV diseasePatients with lymph node metastasisPatients without lymph node metastasis
P valuesHazard ratio (95%CI) P valuesHazard ratio (95%CI) P valuesHazard ratio (95%CI) P valuesHazard ratio (95%CI) P valuesHazard ratio (95%CI)
Univariate analysis
Age0.0061.828(1.188–2.814)0.0083.516(1.397–8.847)0.1671.419(0.864–2.328)0.0741.624(0.953–2.765)0.0212.397(1.138–5.047)
Gender0.0091.582(1.119–2.237)0.0711.761(0.954–3.252)0.0111.735(1.136–2.649)0.0121.787(1.137–2.809)0.1421.501(0.873–2.581)
Tumor site
 RectumReferenceReferenceReferenceReferenceReference
 Left colon0.9311.019(0.674–1.540)0.6721.167(0.571–2.383)0.8630.956(0.575–1.590)0.9550.985(0.581–1.670)0.9401.026(0.527–1.996)
 Right colon0.5310.879(0.589–1.314)0.9911.004(0.503–2.006)0.4570.827(0.502–1.363)0.2650.739(0.434–1.258)0.8681.054(0.565–1.965)
Tumor size0.5501.108(0.792–1.549)0.9541.017(0.573–1.804)0.3891.199(0.793–1.813)0.1651.359(0.881–2.098)0.6270.876(0.515–1.492)
Invasive depth<0.0012.628(1.585–4.357)0.6481.150(0.631–2.097)0.0057.496(1.846–30.445)0.0076.922(1.702–28.156)0.2761.383(0.772–2.478)
Lymph node metastasis<0.0012.717(1.956–3.774)0.0484.184(1.010–17.335)0.5620.830(0.442–1.558)
Clinical stage<0.0013.109(2.215–4.365)0.8280.856(0.210–3.484)<0.0014.110(2.121–7.967)
Differentiation0.0011.846(1.305–2.611)0.8971.051(0.495–2.233)0.0121.690(1.123–2.541)0.1281.402(0.907–2.167)0.0861.687(0.929–3.066)
Schistosomiasis0.0411.402(1.014–1.940)0.4051.262(0.730–2.182)0.0201.627(1.080–2.452)0.0201.663(1.083–2.555)0.3451.276(0.770–2.115)
c-MYC amplification0.0021.912(1.266–2.887)0.6041.276(0.507–3.210)0.0361.653(1.032–2.646)0.0141.839(1.132–2.990)0.6401.223(0.526–2.843)
c-MYC IHC0.0640.732(0.526–1.019)0.4000.786(0.449–1.376)0.0790.692(0.459–1.043)0.1300.717(0.467–1.103)0.3300.773(0.460–1.298)
Multivariate analysis
Age0.0202.021(1.297–3.147)0.0053.874(1.519–9.883)0.0222.390(1.133–5.041)
Gender0.0081.603(1.128–2.277)0.0321.592(1.041–2.435)0.0481.586(1.004–2.503)
Invasive depth0.0067.271(1.783–29.647)0.0106.293(1.543–25.668)
Lymph node metastasis0.0116.607(1.541–28.326)
Clinical stage<0.0012.639(1.849–3.765)<0.0014.105(2.111–7.982)
Differentiation0.0061.664(1.161–2.384)0.0031.900(1.245–2.901)
Schistosomiasis0.0111.701(1.128–2.565)0.0251.634(1.064–2.510)
c-MYC amplification0.0021.966(1.278–3.027)0.0181.790(1.107–2.896)0.0211.775(1.089–2.893)

—, not applicable

Abbreviation: CI, confidence interval.

Univariate and multivariate survival analyses of clinicopathological and molecular features for overall survival (OS) —, not applicable Abbreviation: CI, confidence interval.

Survival analyses based on clinical stage

In stage I-II set (n = 193), no correlation was found between c-MYC amplification and prognosis (P = 0.604) (Fig. 2C). However, in stage III-IV set (n = 161), c-MYC amplification was correlated with poor survival (P = 0.034) (Fig. 2D). In univariate analyses for OS, gender, invasive depth, differentiation, schistosomiasis and c-MYC amplification were significant prognostic factors. In multivariate analysis with c-MYC amplification and conventional significant variables, c-MYC amplification was a significant prognostic factor for OS (P = 0.018, HR = 1.790, 95%CI, 1.107–2.896) (Table 2).

Survival analyses based on lymph node metastasis status

In patients without lymph node metastasis, c-MYC amplification was not associated with OS (Table 2 and Fig. 2E). In patients with lymph node metastasis (n = 146), c-MYC amplification was observed in 20.5% (30 out of 146) and associated with poor survival (P = 0.012) (Table 1 and Fig. 2F). By using univariate and multivariate analysis, c-MYC amplification was independently prognostic factor in this subgroup (P = 0.021, HR = 1.775, 95%CI, 1.089–2.893) (Table 2).

Survival analyses based on schistosomiasis status

During the follow up, there was 47.8% (66 out of 138) patients died in CRC-S set, 38.0% (82 out of 216) patients died in CRC-NS set. Mean and median times to OS in CRC-S set were 56.49 and 49.97 months, respectively. The CRC-NS set were 66.45 and 67.93 months, respectively. In CRC-S set, Kaplan–Meier curve for OS showed c-MYC amplification was correlated with poor survival (P < 0.001) (Fig. 3A). Univariate analyses showed that lymph node metastasis, clinical stage and c-MYC amplification were associated with OS (Table 3). Owing to age as a known factor was associated with survival or prognosis, and most patients’ age were over 60 years old (133 out of 138), age was not included in univariate analysis. In multivariate analysis for OS, clinical stage and c-MYC amplification were the only factors manifested statistical significance (P < 0.001, HR = 3.640, 95%CI, 2.143–6.183; P = 0.046, HR = 1.861, 95%CI, 1.012–3.419, respectively) (Table 3). Further analyses in CRC-S subsets stratified by clinical stage and lymph node metastasis showed that patients with c-MYC amplification tend to be poor prognosis in stage III-IV set and patients with lymph node metastasis (P = 0.068, 0.024, respectively) (Fig. 3B–E), which were similar with the results in full cohort.
Figure 3.

Kaplan–Meier survival curves illustrating prognostic effects of c-MYC amplification in CRC-S set and CRC-NS set. (A and F) c-MYC amplification for OS in CRC-S set and CRC-NS set. (B and C) c-MYC amplification for OS in CRC-S with stage I-II or stage III or IV. (D and E) c-MYC amplification for OS in CRC-S without or with lymph node metastasis. (G and H) c-MYC amplification for OS in CRC-NS with stage I-II or stage III-IV. (I and J) c-MYC amplification for OS in CRC-NS without or with lymph node metastasis.

Table 3

Univariate and multivariate survival analyses for OS in CRC-S set and CRC-NS set

VariablePatients with schistosomiasisPatients without schistosomiasis
P valuesHazard ratio (95%CI) P valuesHazard ratio (95%CI)
Univariate analysis
Age0.0901.506(0.939–2.416)
Gender0.3921.251(0.749–2.088)0.0111.839(1.148–2.945)
Tumor site
 RectumReferenceReference
 Left colon0.4871.261(0.656–2.4223)0.6530.884(0.515–1.516)
 Right colon0.1041.687(0.898–3.168)0.0500.587(0.345–1.000)
Tumor size0.0721.574(0.960–2.582)0.5780.876(0.549–1.397)
Invasive depth0.0791.882(0.930–3.805)0.0013.401(1.640–7.056)
Lymph node metastasis<0.0013.391(2.055–5.595)<0.0012.441(1.572–3.790)
Clinical stage<0.0013.998(2.384–6.704)<0.0012.753(1.749–4.335)
Differentiation0.0661.627(0.968–2.734)0.0041.985(1.246–3.164)
c-MYC amplification0.0012.719(1.504–4.918)0.1581.515(0.852–2.694)
c-MYC IHC0.4540.824(0.496–1.368)0.0620.659(0.425–1.022)
Multivariate analysis
Gender0.0091.875(1.167–3.012)
Invasive depth0.0172.477(1.177–5.216)
Clinical stage<0.0013.640(2.143–6.183)<0.0012.527(1.588–4.019)
Differentiation
c-MYC amplification0.0461.861(1.012–3.419)

—, not applicable

Abbreviation: CI, confidence interval.

Kaplan–Meier survival curves illustrating prognostic effects of c-MYC amplification in CRC-S set and CRC-NS set. (A and F) c-MYC amplification for OS in CRC-S set and CRC-NS set. (B and C) c-MYC amplification for OS in CRC-S with stage I-II or stage III or IV. (D and E) c-MYC amplification for OS in CRC-S without or with lymph node metastasis. (G and H) c-MYC amplification for OS in CRC-NS with stage I-II or stage III-IV. (I and J) c-MYC amplification for OS in CRC-NS without or with lymph node metastasis. Univariate and multivariate survival analyses for OS in CRC-S set and CRC-NS set —, not applicable Abbreviation: CI, confidence interval. However, in CRC-NS set (n = 216), no correlation was found between c-MYC amplification and prognosis in total or in the subsets stratified by clinical stage or lymph node metastasis status (Table 3, Fig. 3F–J).

Discussion

The c-MYC gene encodes nuclear DNA binding proteins that regulate the expression of a variety of genes implicated in cell proliferation, apoptosis, metabolism, stemness, invasiveness and inhibition of differentiation (22,23). In general, c-MYC dysregulation in lymphoma is usually caused by chromosome translocation and is typically associated with aggressive clinical behavior. Similarly, c-MYC amplification is clearly correlated with adverse biological features of the tumors. A previous study of chondrosarcoma showed that c-MYC amplification was prognostic markers of poor outcome for chondrosarcomas of grade 2 or higher (10). Another study found an association between c-MYC amplification and disease progression in prostate cancer (7). However, the research about association between c-MYC amplification and colorectal cancer was really rare. In our study, we found that c-MYC amplification was detected in 14.1% (50 out of 354) of patients with colorectal cancer, and c-MYC amplification was related to poor prognosis in full cohort. Further study showed that c-MYC amplification was also a poor predictor in schistosomiasis-associated colorectal cancer, but was not in colorectal cancer without schistosomiasis. According to previously published reports, the frequency of c-MYC amplification in colorectal cancer was ~8–14% (12,24), this was consistent with our result, which was 14.1%. Masramon’s results showed that c-MYC amplification was correlated with shorter disease-free survival (14), whereas the other studies showed that not c-MYC amplification (12) but c-MYC copy number gain can be a poor prognostic factor in colorectal cancer (13,25). In our study, c-MYC amplification was correlated with poor prognosis in the whole cohort (Fig. 2B), which was inconsistent with previous reports. The unexpectedly discovered schistosome eggs reminded us that this may contributed to the inconsistence. Hence, further subgroups were generated based on schistosomiasis, the total cohort was divided into two groups: CRC-S and CRC-NS. Interestingly, we found that c-MYC amplification could predict poor prognosis in schistosomiasis-associated colorectal cancer, but not in colorectal cancer without schistosomiasis (Fig. 3A). These findings, therefore, suggest that c-MYC amplification may involve in the pathogenesis and mechanism of schistosomiasis-associated colorectal cancer. The overexpression of c-MYC was not associated with OS in CRC-S set or CRC-NS set (Table 3). Although there was a weak correlation between c-MYC protein overexpression and c-MYC amplification, c-MYC amplification was not detected in most c-MYC protein overexpression cases, suggesting that there are alternative mechanisms responsible for c-MYC protein overexpression, rather than just gene amplification. The potential mechanisms including single nucleotide polymorphism in regulatory regions, mutation of upstream signaling pathways and mutations that enhance the stability of the protein (26–28). Further research is needed to explore the association of c-MYC overexpression and gene amplification in schistosomiasis-associated colorectal cancer. Schistosoma haematobium, S. mansoni and S. japonicum are three main species of schistosomes that infect human beings. In China, the majority of schistosomes that infect human are S. japonicum. Historically, Qingpu District was one of serious schistosomiasis endemic areas between 1940s and 1960s, 154 767 of the 390 000 people in Qingpu District were suffering from schistosomiasis, with an infection rate of ~39% (29). Although through effective prevention and treatment, Qingpu District had reached the standard of schistosomiasis elimination in 1983, the effects of schistosomiasis still exist. All evidence suggests that schistosome eggs, and not adult worms, induce the host’s immune response and the granulomatous reaction (30). Many eggs permanently deposit in the intestines or liver (for S. mansoni and S. japonicum) or in the bladder and urogenital system (for S. haematobium). At present, there is solid evidence to confirm that S. haematobium is strongly associated with squamous cell carcinoma of the bladder (31). The International Agency for Research on Cancer (IARC) has regarded the infection with S. haematobium as Group 1 carcinogen (32). Similarly, other macroparasites such as the liver flukes Opisthorchis viverrini and Clonorchis sinensis have a role in causing some type of cholangiocarcinoma (32). Direct and indirect mechanisms may cause these parasites to be associated with specific tumors (33). The relationship between S. japonicum and colorectal cancer remains controversial. Although many studies showed that there is a strong association between S. japonicum and colorectal cancer, there is no definite evidence that S. japonicum is a causative agent in the development of colorectal cancer (34,35). After infection with S. japonicum, schistosome eggs will deposit in the digestive tract, release of egg antigen, and the process of granulomas formation will be accompanied by chronic inflammation (36). The vast majority of the burden of disease due to S. japonicum appears to be caused by chronic inflammation (37). As a hallmark of cancer, inflammation may cause the formation of tumor. During the process of schistosomal infection, inflammatory cells can generate potential genotoxic mediators such as reactive oxygen and nitrogen species and proinflammatory cytokines, which induce genomic instability and dysregulation of oncogenes and tumor-suppressor genes (32,38). Chromosome region 8q24 including c-MYC and PRL-3 loci, as one category of genomic instability (39), is the most commonly amplified region in multiple cancer types, including colorectal cancer (7,40–42). When chronic inflammation and gene amplification co-exist in CRC-S set, we speculate that the accumulation of molecular disturbance may drive the progression toward dysplasia and carcinoma, even leading to a worse prognosis. Besides, c-MYC is frequently dysregulated in inflammation and overexpressed in both sporadic and colitis-associated colon adenocarcinomas. Some studies revealed that c-MYC dysregulation functionally contributes to colitis-associated cancer progression (43,44). In inflammatory bowel disease (IBD)-associated intestinal adenocarcinoma, the frequency of c-MYC amplification increases to 26–33% (45,46). Yaeger et al. hypothesized that the infrequent WNT pathway activation in IBD-associated intestinal adenocarcinomas provides a selective drive for c-MYC gene amplification (45). Besides, recent research indicates a tight junction-associated protein, blood vessel epicardial substance (BVES), which promotes inflammatory tumorigenesis through dysregulation of WNT pathway and the oncogene c-MYC (47). To fully elucidate the association between c-MYC and schistosomiasis-associated colorectal cancer, it is essential to further investigate the roles of c-MYC, its regulators, its downstream effectors and the relationship between inflammation and schistosomiasis-associated colorectal cancer. As the first limitation of the present study, we need more bench to lab work to validate the relationship between c-MYC and schistosomiasis and to interpret how schistosomiasis exert impact on c-MYC amplification. Second, the criterion of c-MYC amplification was diverse in different tumors (7,10,20). The optimal c-MYC amplification cutoff value for the prediction of prognosis remains to be established. Third, the proportion of schistosomiasis-associated colorectal cancer patients analyzed herein is <40%, so that the number of patients in subgroup was too small to draw a definitive conclusion. Therefore, we will increase sample size to validate the clinical meaning of c-MYC amplification in further study. In summary, we first found c-MYC amplification was an adverse prognostic factor in schistosomiasis-associated colorectal cancer. These findings might shed light on detailed risk stratification in patients with colorectal cancer and provide an insight into pathogenesis and mechanism of progression in schistosomiasis-associated colorectal cancer. Click here for additional data file.
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Review 1.  Advanced colorectal cancer: ESMO clinical recommendations for diagnosis, treatment and follow-up.

Authors:  E Van Cutsem; J Oliveira
Journal:  Ann Oncol       Date:  2009-05       Impact factor: 32.976

Review 2.  Reflecting on 25 years with MYC.

Authors:  Natalie Meyer; Linda Z Penn
Journal:  Nat Rev Cancer       Date:  2008-12       Impact factor: 60.716

3.  HER2, TOP2A, CCND1, EGFR and C-MYC oncogene amplification in colorectal cancer.

Authors:  Khawla Al-Kuraya; Hedvika Novotny; Prashant Bavi; Abdul K Siraj; Shahab Uddin; Adnan Ezzat; Nasser Al Sanea; Fouad Al-Dayel; Hadeel Al-Mana; Salwa S Sheikh; Martina Mirlacher; Coya Tapia; Ronald Simon; Guido Sauter; Luigi Terracciano; Luigi Tornillo
Journal:  J Clin Pathol       Date:  2006-08-01       Impact factor: 3.411

Review 4.  Infection with schistosomes (Schistosoma haematobium, Schistosoma mansoni and Schistosoma japonicum).

Authors: 
Journal:  IARC Monogr Eval Carcinog Risks Hum       Date:  1994

Review 5.  The c-Myc target gene network.

Authors:  Chi V Dang; Kathryn A O'Donnell; Karen I Zeller; Tam Nguyen; Rebecca C Osthus; Feng Li
Journal:  Semin Cancer Biol       Date:  2006-07-25       Impact factor: 15.707

6.  BVES regulates c-Myc stability via PP2A and suppresses colitis-induced tumourigenesis.

Authors:  Bobak Parang; Andrew M Kaz; Caitlyn W Barrett; Sarah P Short; Wei Ning; Cody E Keating; Mukul K Mittal; Rishi D Naik; Mary K Washington; Frank L Revetta; J Joshua Smith; Xi Chen; Keith T Wilson; Thomas Brand; David M Bader; William P Tansey; Ru Chen; Teresa A Brentnall; William M Grady; Christopher S Williams
Journal:  Gut       Date:  2016-01-14       Impact factor: 23.059

7.  Genomic Alterations Observed in Colitis-Associated Cancers Are Distinct From Those Found in Sporadic Colorectal Cancers and Vary by Type of Inflammatory Bowel Disease.

Authors:  Rona Yaeger; Manish A Shah; Vincent A Miller; Judith R Kelsen; Kai Wang; Zachary J Heins; Jeffrey S Ross; Yuting He; Eric Sanford; Rhonda K Yantiss; Sohail Balasubramanian; Philip J Stephens; Nikolaus Schultz; Moshe Oren; Laura Tang; David Kelsen
Journal:  Gastroenterology       Date:  2016-04-08       Impact factor: 22.682

8.  c-MYC Copy-Number Gain Is an Independent Prognostic Factor in Patients with Colorectal Cancer.

Authors:  Kyu Sang Lee; Yoonjin Kwak; Kyung Han Nam; Duck-Woo Kim; Sung-Bum Kang; Gheeyoung Choe; Woo Ho Kim; Hye Seung Lee
Journal:  PLoS One       Date:  2015-10-01       Impact factor: 3.240

Review 9.  Immunology of human schistosomiasis.

Authors:  D G Colley; W E Secor
Journal:  Parasite Immunol       Date:  2014-08       Impact factor: 2.280

10.  Correlation of amplification and overexpression of the c-myc oncogene in high-grade breast cancer: FISH, in situ hybridisation and immunohistochemical analyses.

Authors:  J Blancato; B Singh; A Liu; D J Liao; R B Dickson
Journal:  Br J Cancer       Date:  2004-04-19       Impact factor: 7.640

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  4 in total

1.  Identification of key regulators associated with colon cancer prognosis and pathogenesis.

Authors:  Narges Toolabi; Fattane Sam Daliri; Amir Mokhlesi; Mahmood Talkhabi
Journal:  J Cell Commun Signal       Date:  2021-03-26       Impact factor: 5.782

2.  Correlation between schistosomiasis and CD8+ T cell and stromal PD-L1 as well as the different prognostic role of CD8+ T cell and PD-L1 in schistosomal-associated colorectal cancer and non-schistosomal-associated colorectal cancer.

Authors:  Weixia Wang; Hongyan Jing; Jican Liu; Dacheng Bu; Yingyi Zhang; Ting Zhu; Kui Lu; Yanchao Xu; Meihong Cheng; Jing Liu; Junxia Yao; Sinian Huang; Limei Wang
Journal:  World J Surg Oncol       Date:  2021-11-07       Impact factor: 2.754

3.  The Lymph Node Microenvironment May Invigorate Cancer Cells With Enhanced Metastatic Capacities.

Authors:  Tianhang Li; Tianyao Liu; Zihan Zhao; Xinyan Xu; Shoubin Zhan; Shengkai Zhou; Ning Jiang; Wenjie Zhu; Rui Sun; Fayun Wei; Baofu Feng; Hongqian Guo; Rong Yang
Journal:  Front Oncol       Date:  2022-02-28       Impact factor: 6.244

4.  Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer.

Authors:  Olivia M Marx; Marc M Mankarious; Melanie A Eshelman; Wei Ding; Walter A Koltun; Gregory S Yochum
Journal:  Biomolecules       Date:  2022-09-02
  4 in total

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