Literature DB >> 34967562

The Effect of Gene Mutations on Metastasis and Overall Survival in Metastatic and Nonmetastatic Colon Cancers.

Yesim Ozdemir1, Murat Cag2, Emel Colak3, Nuriye Coskun3, Neslihan Basgoz3, Hakan Sarici4, Dilek Kaan5, Muhammet Dogan3, Kemal Deniz6, Mevlude Inanc7, Yusuf Ozkul3.   

Abstract

OBJECTIVE: It is known that many genes are associated with colon cancer. We aimed to investigate the effect of gene mutations on metastasis and overall survival in metastatic and non metastatic colon cancers.
METHODS: A total of 50 patients with metastatic (n=25) and non metastatic (n=25) diagnosed with colon cancer between 2010 and 2018 were included in the study. APC, MUTYH, RAD50, MEN1, ATM, PALB2, NSH2, BRCA1, BRCA2, MLH1, BRIP1, TP53, PTEN, BARD1, MSH6, PMS2, NBN, and FAM175A gene mutations were evaluated using the next generation sequencing method. The effect of gene mutations on metastasis and overall survival were evaluated.
RESULTS: The mean age of patients with colon cancer without distant metastasis was 48.64±14.72 years and for patients with distance metases was 56.68±11.65. The mean survival time of colon cancer patients with distant organ metastasis after the metastasis date was 104.36±58.59 weeks. The presence of APC, MUTYH, and TP53 genetic mutations was observed with a higher rate in metastatic colon cancer (p<0.05).
CONCLUSION: We showed that APC, MUTYH, and TP53 mutations are associated with distant organ metastasis.

Entities:  

Keywords:  Colon cancer; Gene Mutuation; Metastasis

Mesh:

Substances:

Year:  2021        PMID: 34967562      PMCID: PMC9080374          DOI: 10.31557/APJCP.2021.22.12.3839

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


Introduction

Colorectal cancer (CRC), with more than 1.8 million new cases diagnosed in 2018, is one of the most common cancers worldwide (Schrembs et al, 2018). CRC is the second most common cancer in women (9.2%) and third cancer in men (10%) and CRC cases (55%) are more common in Western countries (Marmol et al., 2017). The incidence of CRC has increased from 1990 to 2012, with the number of new cases exceeding the previous year’s new cases by 200,000 cases (Brody et al., 2015). Improvement in survival in CRC has been observed due to efforts spent on screening and early detection and advances in systemic and local treatment methods (Schrembs et al., 2018). However, CRC is the fourth most common cause of cancer-related deaths, causing an average of 700,000 deaths per year (Marmol et al., 2017). Identifying individual risk factors for the development of CRC and even risk factors causing local or distant metastasis and recurrence is very important as it can provide prognostic information for clinicians (Xu et al., 2020) CRC was one of the first tumors in which the various genes and pathways involved in the development and progression of the disease were investigated in detail (Fear on et al., 2011; Vogelstein et al., 1988;Vogelstein et al., 2013) From a genomic perspective, it is assumed that colorectal cancer is not a single disease, but a heterogeneous group of malignancies occurring in the colon. Therefore, genomic analysis of CRC will provide important prognostic information. Critical pathways include APC, TP53, KRAS, NRAS, BRAF, BRCA1/2, BMPR1A, Her2, PIK3CA, transforming growth factor (TFG)-β, and mismatch repair (MMR) genes MLH1, MSH2, MSH6, and PMS2 (Pearlman et al., 2016). The major cause of death from CRC is development of metastases. When CRCs are diagnosed, approximately 22% are metastatic, and approximately 70% of patients will eventually develop metastatic relapse (Le Voyer et al., 2003; Markl et al., 2013). Considering that most of the deaths in CRC are caused by metastatic cancer, it is of vital importance to diagnose patients with CRC early and to reveal the factors that affect this process (Van der Geest et al., 2015). To date, risk factors for CRC (increased BMI, red meat intake, cigarette smoking, low physical activity, low vegetable consumption, low fruit consumption etc.) (Johnson et al., 2013) are well defined. However, few studies investigate the effects of these risk factors on distant metastasis and overall survival. In this study, we aimed to detect germline mutations in 18 genes by Next-Generation sequencing in metastatic and nonmetastatic colon cancers and to investigate the effect of these mutations on metastasis and overall survival.

Materials and Methods

The institutional human study review committees of the Erciyes University 2019/794 approved this retrospective case-control study. This study was conducted in accordance with the tenets of the Declaration of Helsinki. In this study, a total of 50 patients with metastatic (n = 25) and nonmetastatic (n = 25) colon cancer who were followed up in Erciyes University Medical Oncology Department between 2010 and 2018 were included in the study. Overall survival was calculated as the time from diagnosis to death or to the last follow-up date. Next-Generation sequencing DNA was extracted from the sections taken from 5 micron thick paraffin blocks according to the manufacturer’s instructions using QIAamp DNA FFPE Tissue kit. Sequence analysis was performed on the DNA. All variants reported here are detected with >99% confidence, depending on the frequency of the mutation present and the amplicon extent. Mutations were analyzed in Sophia DDM program using a new generation sequencing kit containing 18 genes (APC, MUTYH, RAD50, MEN1, ATM, PALB2, NSH2, BRCA1, BRCA2, MLH1, BRIP1, TP53, PTEN, BARD1, MSH6, PMS2, NBN, FAM175A). Statistical Analysis The data were evaluated using the IBM SPSS Statistics Standard Concurrent User V 25 (IBM Corp., Armonk, New York, USA) statistical program. For descriptive statistics, unit number (n), percent (%), mean ± standard deviation (x ® ± ss), median (M), smallest value (min), largest value (max) are given as values. The normal distribution of data for post-metastasis survival of patients with age and colon cancer patients with distant organ metastasis was evaluated using Shapiro-Wilk normality test and Q-Q charts. For the age variable, the difference between groups with and without distant organ metastasis was evaluated by independent samples t-test. The relationship between the presence of genetic mutation status and smoking status, gender, grade, cancer stage, lymph node metastasis, family history, tumor location, disease classification, and patient survival categorical variables were examined using the Exact method of the chi-square test in 2x2 and r x c tables. Subgroup analyses were performed using Bonferroni corrected two-rate tests. Post-metastasis survival (weeks) of patients with colon cancer with distant organ metastasis was determined. A regression model was created, and Cox regression analysis was performed to determine the prognostic and predictive values of factors affecting the life span of patients with colon cancer with distant organ metastasis. A p <0.05 value was considered statistically significant.

Results

The mean age of patients with colon cancer without distant organ metastasis (n = 25) included in the study 48.64 ± 14.72 (Min: 15, Max: 75) years, and the mean age of patients with colon cancer with distant organ metastasis (n = 25) was 56.68 ± 11.65 (Min: 30, Max: 73) years. The mean age of patients without distant organ metastasis was lower than those with distant organ metastasis (p = 0.037). The average life span of colon cancer patients with distant organ metastasis after the date of metastasis was found to be 104.36±58.59 (Min: 22, Max: 267) weeks. The frequency distributions, percentages, and the relationship between variables according to the genetic mutation status of all colon cancer patients are given in Table 1. A significant relationship was found between the groups with the presence of APC, MUTYH, and TP53 genetic mutations (p <0.05). The presence of APC and MUHTY genetic mutations is 3.083 times higher in patients with colon cancer with distant organ metastasis compared to patients with colon cancer without distant organ metastasis (OR = 3.083, 95% CI: 1.937-4.909). Similarly, the presence of TP53 genetic mutations is 6,364 times higher in patients with colon cancer with distant organ metastasis than in patients with colon cancer without distant organ metastasis (OR = 2.125, 95% CI: 1.488-3.035). There were no significant differences in the presence of other genetic mutations and between the groups (p> 0.05).
Table 1

Frequency Distributions, Percentages and Relationships with Metastasis in All Patients with Colon Cancer by Genetic Mutation Status

VariablesWithout distant organ metastasis (n/%)With distant organ metastasis (n/%)p value
APC
No6 (33.3) a- b0.003‡
Yes12 (66.7) a25 (100) b
MUTYH
No6 (33.3) a- b0.003‡
Yes12 (66.7) a25 (100) b
RAD50
No1 (5.6)-0.419‡
Yes17 (94.4)25 (100)
MEN1
No1 (5.6)1 (4)1.000‡
Yes17 (94.4)24 (96)
ATM
No3 (16.7)4 (16)1.000‡
Yes15 (83.3)21 (84)
PALB2
No1 (5.6)-0.419‡
Yes17 (94.4)25 (100)
NSH2
No3 (16.7)1 (4)0.293‡
Yes15 (83.3)24 (96)
BRCA1
No1 (5.6)-0.419‡
Yes17 (94.4)25 (100)
BRCA2
No2 (11.1)-0.169‡
Yes16 (88.9)25 (100)
MLH1
No-1 (4)1.000‡
Yes18 (100)24 (96)
BRIP1
No-1 (4)1.000‡
Yes18 (100)24 (96)
TP53
No- a9 (36) b0.006‡
Yes18 (100) a16 (64) b
PTEN
No-2 (8)0.502‡
Yes18 (100)23 (92)
BARD1
No-1 (4)1.000‡
Yes18 (100)24 (96)
MSH6
No-3 (12)0.252‡
Yes18 (100)22 (88)
PMS2
No-1 (4)1.000‡
Yes18 (100)24 (96)
VariablesWithout distant organ metastasis (n/%)With distant organ metastasis (n/%)p value
NBN
No-1 (4)1.000‡
Yes18 (100)24 (96)
FAM175A
No-1 (4)1.000‡
Yes18 (100)24 (96)

*, Column percentages are indicated; ‡, Fisher Exact Test; Superscripts a and b show the difference between groups. The distributions with the same letter are similar.

The results of the effects of genetic mutations of all colon cancer patients on overall survival are given in Table 2. There was not a significant relationship between the presence of genetic mutation and overall survival (p> 0.05).
Table 2

Examination of the Relationship between Overall Survival and Genetic Mutations of All Patients Included in the Study

VariablesOverall Survival
Alive (n/%)Dead (n/%)p value
APC
No5 (22.7)1 (4.8)0.185‡
Yes17 (77.3)20 (95.2)
MUTYH
No5 (22.7)1 (4.8)0.185‡
Yes17 (77.3)20 (95.2)
RAD50
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
MEN1
No1 (4.5)1 (4.8)1.000‡
Yes21 (95.5)20 (95.2)
ATM
No4 (18.2)3 (14.3)1.000‡
Yes18 (81.8)18 (85.7)
PALB2
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
NSH2
No3 (3.6)1 (4,8)0.607‡
Yes19 (86.4)20 (95,2)
BRCA1
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
BRCA2
No2 (9.1)-0.488‡
Yes20 (90.9)21 (100)
MLH1
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
BRIP1
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
TP53
No2 (9.1)7 (33.3)0.069‡
Yes20 (90.9)14 (66.7)
PTEN
No-2 (9.5)0.233‡
Yes22 (100)19 (90.5)
BARD1
No-1 (4.8)0.488‡
Yes22 (100)20 (95.2)
MSH6
No2 (9.1)1 (4.8)1.000‡
Yes20 (90.9)20 (95.2)
PMS2
No-1 (4.8)0.488‡
Yes22 (100)20 (95.2)
NBN
No1 (4.5)-1.000‡
Yes21 (95.5)21 (100)
FAM175A
No1 (4.5)-1.000‡s
Yes21 (95.5)21 (100)

*, Column percentages are indicated; ‡, Fisher Exact Test

The effects of sociodemographic and clinical characteristics on overall survival of patients with colon cancer without distant organ metastasis are given in Table 3. No significant relationships were found between smoking, gender, stage, family history, tumor location and pathogenicity with disease status categories (p> 0.05). According to Table 4, no significant correlation was found between the presences of genetic mutations on overall survival in patients with colon cancer without distant organ metastasis (p> 0.05).
Table 3

Investigation of the Relationship between Sociodemographic and Clinic Pathological Characteristics of Patients with Colon Cancer without Distant Organ Metastasis on Overall Survival

VariablesOverall Survival
Alive (n/%)Dead (n/%)p value
Smoking status
No10 (47,6)2 (50)1,000‡
Yes11 (52,4)2 (50)
Gender
Female10 (47,6)2 (50)1,000‡
Male11 (52,4)2 (50)
Staging
II6 (54,5)--
III4 (36,4)-
IV1 (9,1)-
Family story
No16 (80)2 (100)1,000‡
Yes4 (20)-
Tumor Location
Right column3 (21,4)1 (100)0,267‡
Left column11 (78,6)-
Classification
Significance unknown9 (81,8)1 (100)1,000‡
Pathogenic / Possibly pathogenic2 (18,2)-

*, Column percentages are indicated; ‡, Fisher Exact Test

Table 4

The Relationship of Patients with Colon Cancer without Distant Organ Metastases with Overall Survival According to Their Genetic Mutation Status

VariablesOverall Survival
Alive (n/%)Dead (n/%)p values
APC
No5 (31.3)1 (50)1.000‡
Yes11 (68.7)1 (50)
MUTYH
No5 (31.3)1 (50)1.000‡
Yes11 (68.7)1 (50)
RAD50
No1 (6.3)-1.000‡
Yes15 (93.7)2 (100)
MEN1
No1 (6.3)-1.000‡
Yes15 (93.7)2 (100)
ATM
No2 (12.5)1 (50)0.314‡
Yes14 (87.5)1 (50)
PALB2
No1 (6.3)-1.000‡
Yes15 (93.7)2 (100)
NSH2
No3 (18.7)-1.000‡
Yes13 (81.3)2 (100)
BRCA1
No1 (6.3)-1.000‡
Yes15 (93.7)2 (100)
BRCA2
No2 (12.5)-1.000‡
Yes14 (87.5)2 (100)
MLH1
No---
Yes16 (100)2 (100)
BRIP1
No---
Yes16 (100)2 (100)
TP53
No---
Yes16 (100)2 (100)
PTEN
No---
Yes16 (100)2 (100)
BARD1
No---
Yes16 (100)2 (100)
MSH6
No---
Yes16 (100)2 (100)
PMS2
No---
Yes16 (100)2 (100)
NBN
No---
Yes16 (100)2 (100)
FAM175A
No---
Yes16 (100)2 (100)

*, Column percentages are indicated; ‡, Fisher Exact Test

The sociodemographic and clinical characteristics of patients with colon cancer with distant organ metastasis and the effects of genetic mutations on overall survival are given in Table 5 and Table 6. No significant relationships were found between smoking, gender, stage, family history, tumor location, pathogenicity, presence of genetic mutation and overall survival (p> 0.05).
Table 5

The Relationship between Sociodemographic and Clinic Pathological Characteristics of Patients with Colon Cancer with Distant Organ Metastasis on Overall Survival

VariablesOverall Survival
Alive (n/%)Dead (n/%)p value
Smoking status
No4 (66.7)9 (47.4)0.645‡
Yes2 (33.3)10 (52.6)
Gender
Female3 (50)7 (36.8)0.653‡
Male3 (50)12 (63.2)
Staging
II1 (16.7)-0.290‡
III-2 (10.5)
IV5 (83.3)17 (89.5)
Family History
No4 (66.7)15 (100)0.071‡
Yes2 (33.3)-
Tumor Location
Right column4 (66.7)8 (53.3)0.659‡
Left column2 (33.3)7 (46.7)
Classification
Significance unknown-1 (11.1)1.000‡
Pathogenic / Possibly pathogenic4 (100)8 (88.9)

*, Column percentages are indicated; ‡, Fisher Exact Test

Table 6

Relationship between Genetic Mutation Status and Overall Survival of Patients with Colon Cancer with Distant Organ Metastasis

VariablesOverall Survival
Alive (n/%)Dead (n/%)p values
APC
No---
Yes6 (100)19 (100)
MUTYH
No---
Yes6 (100)19 (100)
RAD50
No---
Yes6 (100)19 (100)
MEN1
No-1 (5.3)1.000‡
Yes6 (100)18 (94.7)
ATM
No2 (33.3)2 (10.5)0.234‡
Yes4 (66.7)17 (89.5)
PALB2
No---
Yes6 (100)19 (100)
NSH2
No-1 (5.3)1.000‡
Yes6 (100)18 (94.7)
BRCA1
No---
Yes6 (100)19 (100)
BRCA2
No---
Yes6 (100)19 (100)
MLH1
No1 (16.7)-0.240‡
Yes5 (83.3)19 (100)
BRIP1
No1 (16.7)-0.240‡
Yes5 (83.3)19 (100)
TP53
No2 (33.3)7 (36.8)1.000‡
Yes4 (66.7)12 (63.2)
PTEN
No-2 (10.5)1.000‡
Yes6 (100)17 (89.5)
BARD1
No-1 (5.3)1.000‡
Yes6 (100)18 (94.7)
MSH6
No2 (33.3)1 (5.3)0.133‡
Yes4 (66.7)18 (94.7)
PMS2
No-1 (5.3)1.000‡
Yes6 (100)18 (94.7)
NBN
No1 (16.7)-0.240‡
Yes5 (83.3)19 (100)
FAM175A
No1 (16.7)-0.240‡
Yes5 (83.3)19 (100)

*, Column percentages are indicated; ‡, Fisher Exact Test

A significant relationship was found between the presence of APC, MUTHY, and NSH2 genetic mutations and cancer stage (Table 7) (p = 0.014; p = 0.014; p = 0.016). There were no significant relationships between the presence of other genetic mutations categories and cancer stage categories (p> 0.05). The relationship between each genetic mutation status and gender, smoking status was examined, and no significant relationships were found (p> 0.05).
Table 7

Examination of the Frequency Distributions, Percentages and the Relationship with Cancer Stage of Patients with Distant Organ Metastasis and Colon Cancer without Distant Organ Metastasis According to Genetic Mutation Status

VariablesStage
Stage II (n/%)Stage III (n/%)Stage IV (n/%)p value
APC
No1 (16.7) a, b2 (40) v- a0.014†
Yes5 (83.3) a, b3 (60) b23 (100) a
MUTHY
No1 (16.7) a, b2 (40) b- a0.014†
Yes5 (83.3) a, b3 (60) b23 (100) a
NSH2
No- a, b2 (40) b- a0.016†
Yes6 (100) a, b3 (60) b23 (100) a

*, Column percentages are indicated; †, Pearson Exact Chi-Square Test; Superscripts a and b show the difference between groups. The distributions with the same letter are similar.

A significant relationship was found between the stage and overall survival status of patients with colon cancer without distant organ metastasis and with distant organ metastasis. The duration of life (weeks) after metastasis of colon cancer patients with distant organ metastasis was taken as the dependent variable. Cox regression analysis was performed to determine the prognostic and predictive values. It was found that age has a significant effect in determining the survival time for the colon cancer patient group with distant organ metastasis (Age = 1.110; 95% CI: 1.011-1.129; p = 0.028). Frequency Distributions, Percentages and Relationships with Metastasis in All Patients with Colon Cancer by Genetic Mutation Status *, Column percentages are indicated; ‡, Fisher Exact Test; Superscripts a and b show the difference between groups. The distributions with the same letter are similar. Examination of the Relationship between Overall Survival and Genetic Mutations of All Patients Included in the Study *, Column percentages are indicated; ‡, Fisher Exact Test Investigation of the Relationship between Sociodemographic and Clinic Pathological Characteristics of Patients with Colon Cancer without Distant Organ Metastasis on Overall Survival *, Column percentages are indicated; ‡, Fisher Exact Test The Relationship of Patients with Colon Cancer without Distant Organ Metastases with Overall Survival According to Their Genetic Mutation Status *, Column percentages are indicated; ‡, Fisher Exact Test The Relationship between Sociodemographic and Clinic Pathological Characteristics of Patients with Colon Cancer with Distant Organ Metastasis on Overall Survival *, Column percentages are indicated; ‡, Fisher Exact Test Relationship between Genetic Mutation Status and Overall Survival of Patients with Colon Cancer with Distant Organ Metastasis *, Column percentages are indicated; ‡, Fisher Exact Test Examination of the Frequency Distributions, Percentages and the Relationship with Cancer Stage of Patients with Distant Organ Metastasis and Colon Cancer without Distant Organ Metastasis According to Genetic Mutation Status *, Column percentages are indicated; †, Pearson Exact Chi-Square Test; Superscripts a and b show the difference between groups. The distributions with the same letter are similar.

Discussion

CRC, about 56% of whom die of cancer, is the third most common cancer worldwide (Riihimaki et al.,2012). Both the frequency of CRC and its risks should be well defined in order to reduce the mortality rate from CRC. There are many habits or traits that increase the likelihood of developing colorectal cancer or polyp and are considered risk factors. Risk factors for CRC include age (Levin et al., 2008), inflammatory bowel disease (patients with ulcerative colitis have an 3.7% increased risk (Eaden et al., 2001) while people suffering from Crohn’s disease have a 2.5% increased risk of developing CRC (Canavan et al., 2006) positive family history of CRC in relatives under the age of fifty (Johns et al., 2001), a sedentary lifestyle associated with obesity (Martinez-Useros et al., 2016), unhealthy eating habits(Willet et al., 2005). Mutations may occur in tumor suppressor genes, oncogenes, and genes involved in DNA repair mechanisms in the initiation of CRC (Fear on et al., 1990). CRC can be classified as sporadic, hereditary, or familial. Sporadic cancers account for 70% of all CRC and are heterogeneous, as mutations in genes different from the molecular pathogenesis of sporadic cancer are targeted. CRC begins as a benign adenomatous intestinal polyp and turns into adenocarcinoma that can metastasize to distant organs. Each step in such gradual progression of CRC known as “multi-step tumorigenesis” is related to specific genetic changes in oncogenes or tumor suppressors (Fear on et al., 2011; Ferron et al., 1990; Markowitz et al., 2009). The development of polyps begins with a mutation in a tumor suppressor gene known as adenomatous polyposis coli (APC). Mutations in KRAS, TP53, and DCC follow the APC mutation. Hereditary polyposis cancer primarily includes familial adenomatous polyposis (FAP), while hereditary non-polyposis colorectal cancer (HNPCC) is associated with mutations in DNA repair mechanisms. Lynch syndrome is the most common cause of HNPCC. Inherited mutations in genes encoding DNA repair proteins such as MLH1, PMS1, MSH2, PMS2 and MLH6 are responsible for this syndrome (Lynch et al., 2003; Umar et al., 2004). Although the genes involved in the development of CRC are well defined, there has not been much study on the genes that play a role in the development of distant organ metastasis and affect survival. Fang et al. (Fang et al., 2014) identified six genes (ADCY2, ADCY9, APC, GNB5, KRAS, and LRP6) associated with CRC metastasis. APC, KRAS, and β-catenin mutations are important in the development of adenoma, and PIK3CA and TP53 mutations are especially important in the progression to invasive CRC (Lee et al., 2017). KRAS mutations are associated with metastasis, poor prognosis, and lower survival (Chen et al., 2014; Li et al., 2015) Recent studies have reported a reduced overall survival in BRAF-mutated CRC (41.1 vs 18.2 months) (Caymanian et al., 2018). In another study, it was observed that the loss of PTEN in primary tumors in patients with metastatic CRC was significantly associated with an increased risk of death and poor survival (Atria et al., 2013) Decrease in BARD1 expression has been found to cause worse staging and therefore poor prognosis (Spurn et al., 2011). TP53 mutations were reported in previous studies to be associated with poor prognosis in various types of cancer, including CRC (Oliver et al., 2010). TP53 mutation rate increased to 80% in patients with metastatic CRC (Brannon et al., 2014). A TP53 mutation gradually increases from early stage tumors to metastasis (Yeager et al., 2018). Therefore, TP53 mutations play a role, especially in the late stage of tumorigenesis (Nakayama et al., 2019). Chang et al., (2016) showed that the frequency of NRAS mutation increased in patients with lung metastasis and that NRAS and TP53 were positively associated with tumor stage and prognosis. In our study, the presence of APC and MUTYH genetic mutations is 3.083 times greater in patients with colon cancer with distant organ metastasis compared to patients with colon cancer without distant organ metastasis. Similarly, patients with colon cancer with distant organ metastases exhibited 6.364 times more TP53 genetic mutations than patients with colon cancer without distant organ metastases. In previous studies, the relationships between APC and TP53 mutations and CRC metastasis have been shown, but as far as we know, this is the first study reporting that MUTYH affects CRC metastasis. In addition, in our study, we determined a relationship between APC, MUTYH, and NSH2 and tumor stage. As the stage of the tumor increased, the presence of APC, MUTYH, and NSH2 mutations also increased. Therefore, APC and MUTYH have a bad effect on overall survival as they both increase distant organ metastasis and are associated with high stage, and TP53 is increased in distant organ metastasis. When Cox regression analysis was performed in determining prognostic and predictive values, we found that age had a significant effect in determining the survival time for the colon cancer patient group with distant organ metastasis. In conclusion, we show that APC, MUTYH, and TP53 mutations are associated with distant organ metastasis. We also found a relationship between APC, MUTYH, and NSH2 and tumor stage. We found that age had a significant effect in determining the survival time for the colon cancer patient group with distant organ metastasis. The results of our study should be supported by larger studies.

Author Contribution Statement

YO and YO the idea for research. MC, YO and MD were the major contributors in literature search writing the manuscript, and spelling and grammar check. HS, EC and NG managed collecting tissues. MI, Referred the patients NB and DK conducting the DNA analysis and NGS. All authors read and approved the final manuscript.

Ethics approval

The institutional human study review committees of the Erinyes University 2019/794 approved this retrospective case-control study.

Consent to participate

This study was conducted in accordance with the tenets of the Declaration of Helsinki.

Consent for publication

All of the authors declare that they have all participated in the design, execution, and analysis of the paper, and that they have approved the final version Availability of data and material not applicable

Conflicts of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.
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Review 3.  TP53 mutations in human cancers: origins, consequences, and clinical use.

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Journal:  Cold Spring Harb Perspect Biol       Date:  2010-01       Impact factor: 10.005

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Journal:  N Engl J Med       Date:  1988-09-01       Impact factor: 91.245

5.  Revised Bethesda Guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability.

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6.  Meta-analyses of colorectal cancer risk factors.

Authors:  Constance M Johnson; Caimiao Wei; Joe E Ensor; Derek J Smolenski; Christopher I Amos; Bernard Levin; Donald A Berry
Journal:  Cancer Causes Control       Date:  2013-04-06       Impact factor: 2.506

7.  Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology.

Authors:  Bernard Levin; David A Lieberman; Beth McFarland; Robert A Smith; Durado Brooks; Kimberly S Andrews; Chiranjeev Dash; Francis M Giardiello; Seth Glick; Theodore R Levin; Perry Pickhardt; Douglas K Rex; Alan Thorson; Sidney J Winawer
Journal:  CA Cancer J Clin       Date:  2008-03-05       Impact factor: 508.702

8.  Prevalence and Spectrum of Germline Cancer Susceptibility Gene Mutations Among Patients With Early-Onset Colorectal Cancer.

Authors:  Rachel Pearlman; Wendy L Frankel; Benjamin Swanson; Weiqiang Zhao; Ahmet Yilmaz; Kristin Miller; Jason Bacher; Christopher Bigley; Lori Nelsen; Paul J Goodfellow; Richard M Goldberg; Electra Paskett; Peter G Shields; Jo L Freudenheim; Peter P Stanich; Ilene Lattimer; Mark Arnold; Sandya Liyanarachchi; Matthew Kalady; Brandie Heald; Carla Greenwood; Ian Paquette; Marla Prues; David J Draper; Carolyn Lindeman; J Philip Kuebler; Kelly Reynolds; Joanna M Brell; Amy A Shaper; Sameer Mahesh; Nicole Buie; Kisa Weeman; Kristin Shine; Mitchell Haut; Joan Edwards; Shyamal Bastola; Karen Wickham; Karamjit S Khanduja; Rosemary Zacks; Colin C Pritchard; Brian H Shirts; Angela Jacobson; Brian Allen; Albert de la Chapelle; Heather Hampel
Journal:  JAMA Oncol       Date:  2017-04-01       Impact factor: 31.777

9.  BRAF V600E mutation and KRAS codon 13 mutations predict poor survival in Chinese colorectal cancer patients.

Authors:  Jing Chen; Fang Guo; Xin Shi; Lihua Zhang; Aifeng Zhang; Hui Jin; Youji He
Journal:  BMC Cancer       Date:  2014-11-03       Impact factor: 4.430

10.  Whole-exome sequencing identified mutational profiles of high-grade colon adenomas.

Authors:  Sung Hak Lee; Seung Hyun Jung; Tae-Min Kim; Je-Keun Rhee; Hyeon-Chun Park; Min Sung Kim; Sung Soo Kim; Chang Hyeok An; Sug Hyung Lee; Yeun-Jun Chung
Journal:  Oncotarget       Date:  2017-01-24
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