ArticlePDF Available

EPIDEMIOLOGICAL STUDY OF CANCERS AMONG IRAQI PEOPLE IN ONCOLOGY TEACHING HOSPITAL IN MEDICAL CITY IN BAGHDAD FOR 2018

Authors:
  • Alfarabi college

Abstract

Background: Cancer is a generic term for a large group of disease that can affect any part of the body. Other terms used are malignant tumors and neoplasms. Cancer in the second leading cause of death in the world after cardio-vascular disease. Aim: Investigation of cancer in Oncology Teaching Hospital in Medical City in Baghdad. Method: This study include (1152) cases, (542) case have excluded because lake of medical note or diagnosis. Medical notes and histopathological reports of patients with confirmed diagnosis of cancer types between January 2018 to January 2019, were reviewed for age, site and type of cancer. Results: A total of (1152) patients were included in this study. The ages which show high prevalence was (41-60Y) (42.7%) (p<0.01) and (61-80Y) (36.02%) (p<0.01) which show significant relationship between age and cancer types. Most cases were detected in Baghdad (72%) (p<0.05) then Dayala (7.6%) (p<0.05), then Anbar (4.6%) (Non-significant) and wasit (4.5%) (p<0.05) and other sites were non-significant. The most prevalent cancer type generally was gastro-intestinal tract cancer (26.8%) (p<0.01), then respiratory tract cancer (14.3%) (p<0.01), then uterine cancer (8.1%) (p<0.05) and then prostate cancer (6.1%) (Non-significant). Conclusion: The high prevalence and incidence rates of many cancers were concern especially for older ages mainly in Baghdad.
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
45
EPIDEMIOLOGICAL STUDY OF CANCERS AMONG IRAQI PEOPLE IN ONCOLOGY
TEACHING HOSPITAL IN MEDICAL CITY IN BAGHDAD FOR 2018
Janan M. Al-Akeedi*1, Nawar A. Abd Noor2 and Mustafa A. J. Alhiti3
1PhD Immunologist and Immunopathophysiology in Al-Farabi College/Baghdad/Iraq.
2FICMS (Immunologist) Oncology Teaching Hospital, Baghdad Medical City / Baghdad / Iraq.
3B.Sc. Agri. (Molecular Genetic) in Pathological Analysis Laboratory, In Biotechnology & Environmental Center, In
Fallujah University/Bagdad / Iraq.
Article Received on 30/03/2020 Article Revised on 20/04/2020 Article Accepted on 11/05/2020
INTRODUCTION
Cancer is among the top four causes of human
mortality.[1] In global epidemiological investigation de
mortal et al., found that 2 millions cases (16%) of 12.7
million newly diagnosis cancer were attributed exposure
to infectious agents with a higher rate recorded in
developing countries.[2] Globally in 2013, there were
(14.9) million incident cancer cases and (8.2) million
cancer related deaths.[3] While the incidence and
mortality rates for most cancers are decreasing in the
United States and among other western countries, the
incidence and mortality rates are both rising in developed
countries.[4]
The Eastern Mediterranean Region (EMR) countries are
experiencing marked variation in cancer incidence.[5] The
incident cancer cases have increased by (46.1%) between
2005 and 2015.[6] The countries registered in EMR are
(United Arab Emirate, Bahrain, Saudi Arabia, Oman,
Qatar and Kuwait) had reported (95, 183) newly
diagnosis cancer cases from January (1998) to December
(2007).[7]
MATERIAL AND METHODS
Study design
A survey of different cancer types in Iraqi males and
females during 2018were designed in order to determine
the age, governorate and types of cancers in Iraq.
Methods
Data of (1152) patients collected from register of
pathological laboratories and from the medical records of
patients from Oncology Teaching Hospital in Medical
city in Baghdad during the period of one year from
January 2018 to January 2019. (452) Cases were
excluded due to luck of medical records and diagnosis.
The information includes age ranged from (1-99y.),
governorate and types of cancer.
Data
All data were analyzed by the statistical analysis system-
SAS (2012) program was to detect the effect of
differences between study parameters. Chi-square test
was used to significant compare between percentage
(0.05 and 0.01 probability) in this study.[8]
SJIF Impact Factor 6.044
Research Article
ejbps, 2020, Volume 7, Issue 6, 45-51.
European Journal of Biomedical
AND Pharmaceutical sciences
http://www.ejbps.com
ISSN 2349-8870
Volume: 7
Issue: 6
45-51
Year: 2020
*Corresponding Author: Janan M. Al-Akeedi
PhD Immunologist and Immunopathophysiology in Al-Farabi College/Baghdad/Iraq.
Email id: Jananmajeed934@gmail.com, Mustafa.j.alhiti@uofallujah.edu.iq
ABSTRACT
Background: Cancer is a generic term for a large group of disease that can affect any part of the body. Other
terms used are malignant tumors and neoplasms. Cancer in the second leading cause of death in the world after
cardio-vascular disease. Aim: Investigation of cancer in Oncology Teaching Hospital in Medical City in Baghdad.
Method: This study include (1152) cases, (542) case have excluded because lake of medical note or diagnosis.
Medical notes and histopathological reports of patients with confirmed diagnosis of cancer types between January
2018 to January 2019, were reviewed for age, site and type of cancer. Results: A total of (1152) patients were
included in this study. The ages which show high prevalence was (41-60Y) (42.7%) (p<0.01) and (61-80Y)
(36.02%) (p<0.01) which show significant relationship between age and cancer types. Most cases were detected in
Baghdad (72%) (p<0.05) then Dayala (7.6%) (p<0.05), then Anbar (4.6%) (Non-significant) and wasit (4.5%)
(p<0.05) and other sites were non-significant. The most prevalent cancer type generally was gastro-intestinal tract
cancer (26.8%) (p<0.01), then respiratory tract cancer (14.3%) (p<0.01), then uterine cancer (8.1%) (p<0.05) and
then prostate cancer (6.1%) (Non-significant). Conclusion: The high prevalence and incidence rates of many
cancers were concern especially for older ages mainly in Baghdad.
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
46
RESULT
A total of (1152) subjects were diagnosed with deferent
types of cancer in the Oncology Teaching Hospital in
Medical city in Baghdad during 2018. The data showed
high percentage and prevalence age specific rate in the
range (41-60y.) (42.7%), then the age (61-80y.)
(36.02%), as shown in table (1) and (2).
Table (1): Frequency of ages of cancer types monthly during 2018.
Month
1-20
years
21-40
years
41-60
years
61-80
years
81-99
years
Total
Chi-Square
(X2)
1
1
0.7%
27
19.7%
52
37.4%
50
36.4%
7
5.1%
137
10.83 **
2
6
5.1%
12
10.3%
52
44.8%
40
34.4%
6
5.1%
116
10.06 **
3
2
2.9%
5
7.4%
35
52.2%
20
29.8%
5
7.4%
67
11.48 **
4
2
4.4%
8
17.7%
15
33.3%
20
44.4%
0
0%
45
9.85 **
5
0
0%
20
18.1%
50
45.4%
40
36.3%
0
0%
110
11.37 **
6
0
0%
10
15.3%
37
56.9%
18
27.6%
0
0%
65
11.61 **
7
1
2.3%
1
2.3%
13
30.9%
25
59.5%
2
4.7%
42
11.94 **
8
2
5%
10
25%
11
27.5%
16
40%
1
2.5%
40
9.33 **
9
3
2.8%
25
23.5%
39
36.7%
35
33.01%
4
3.7%
106
9.08 **
10
4
3.8%
17
16.3%
55
52.8%
27
25.9%
1
0.9%
104
10.73 **
11
5
3.3%
17
11.4%
57
38.5%
65
43.9%
4
2.7%
148
9.62 **
12
5
2.9%
25
14.5%
76
44.1%
59
34.3%
7
4.06
172
10.57 **
Chi-Square (X2)
1.08
NS
6.97
**
8.55
**
8.91
**
2.47
NS
--
_
** (P<0.01), NS: Non-Significant
Table (2): Demonstrate the Percentage of Age Range
During 2018.
Age Range
Percentage
1-20 Years
2.6 %
21-40 Years
15.3 %
41-60 Years
42.7 %
61-80 Years
36.02 %
81-99 Years
6.3 %
Baghdad showed higher frequency of different cancer
types (72%), then Dayala (7.6%), Anbar (4.6%) (Non-
significant) and Wasit (4.5%), than others. As show in
table (3) and (4).
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
47
Table (3): Showed the Frequency of cancer types in different area of Iraq monthly during 2018.
Month
Baghdad
Anbar
Salahalden
Wasit
Dayala
Babel
Karbala
Najaf
Maysan
Basra
Naseria
Samaia
Dewania
Kirkuk
Irbel
Mosul
Total
Chi-Square
(X2)
1
105
76.6%
9
6.5%
4
2.9%
6
4.3%
8
5.8%
3
2.1%
0
0%
1
0.7%
0
0%
0
0%
1
0.7%
0
0%
0
0%
0
0%
0
0%
0
0%
137
12.48 **
2
83
71.5%
5
4.3%
4
3.4%
4
3.4%
6
5.17%
5
4.3%
2
1.7%
0
0%
0
0%
0
0%
4
3.4%
0
0%
0
0%
1
0.8%
1
0.8%
1
0.8%
116
12.18 **
3
44
65.6%
4
5.9%
1
1.4%
0
0%
10
14.9%
3
4.4%
2
2.9%
0
0%
0
0%
0
0%
0
0%
0
0%
1
1.4%
0
0%
0
0%
2
2.9%
67
11.73 **
4
36
80%
3
6.6%
1
2.2%
0
0%
4
8.8%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
1
2.2%
45
13.47 **
5
89
72.7%
6
5.4%
4
3.6%
4
3.6%
10
9.09%
1
0.9%
2
1.8%
2
1.8%
1
0.9%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
110
12.36 **
6
46
70.7%
2
3.07%
3
4.6%
3
4.6%
9
13.8%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
1
1.5%
1
1.5%
0
0%
0
0%
65
10.47 **
7
33
78.5%
2
4.7%
0
%
4
9.5%
2
4.7%
0
0%
0
0%
1
2.3%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
42
12.84 **
8
28
70%
1
2.5%
0
0%
2
5%
6
15%
3
7.5%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
40
10.36 **
9
70
66.03%
8
7.5%
2
1.8%
8
7.5%
5
4.7%
4
3.7%
0
0%
1
0.9%
3
2.8%
0
0%
1
0.9%
0
0%
1
0.9%
3
2.8%
0
0%
0
0%
106
10.02 **
10
72
69.2%
3
2.8%
7
6.78%
4
3.8%
10
9.6%
3
2,8%
0
0%
1
0.9%
2
1.9%
1
0.9%
0
0%
1
0.9%
0
0%
0
0%
0
0%
0
0%
104
11.47 **
11
110
74.3%
2
1.3%
8
5.4%
5
3.3%
10
6.7%
2
1.3%
1
0.6%
2
1.3%
0
0%
0
0%
5
3.3%
0
0%
0
0%
0
0%
0
0%
3
2.02%
148
12.04 **
12
124
72.09%
8
4.6%
3
1.7%
12
6.9%
8
4.6%
6
3.4%
1
0.5%
3
1.7%
0
0%
0
0%
0
0%
2
1.2%
1
0.5%
1
0.5%
0
0%
3
1.7%
172
11.93 **
Chi-Square (X2)
5.03 *
2.07
NS
2.32
NS
4.63 *
5.11 *
2.74
NS
0.84
NS
0.72
NS
0.76
NS
0.24%
0.93
NS
0.33
NS
0.41
NS
0.52
NS
0.07
NS
0.73
NS
--
__
* (P<0.05), ** (P<0.01), NS: Non-Significant
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
48
Table (4): Show the frequencies of many cancer types
in Iraq during 2018.
Site
Percentage
Baghdad
72 %
Anbar
4.6 %
Salah Alden
3.2 %
Wasit
4.5 %
Dayala
7.6 %
Babel
2.6 %
Karbala
0.6 %
Najaf
0.9 %
Mesan
0.5 %
Basra
0.08 %
Naseria
0.9 %
Samaoa
0.2 %
Dewania
0.3 %
Kirkuk
0.5 %
Erbil
0.08 %
Mosul
0.8 %
The data also showed that the prevalence of gastro-
intestinal tract higher than other cancers (26.8%)
(P<0.01), then respiratory tract cancers (14.3%), then
uterus (8.1%), and then the prostate cancer (6.1%) (Non-
significant) than other types as illustrated in table (5) and
(6).
Table (5): Illustrate percentage of each type of cancer
during 2018.
No.
Cancer Types
Percentage
1
Gastro intestinal tract
26.8 %
2
Respiratory tract
14.3 %
3
Pancreas
2.6 %
4
Skin
4.6 %
5
Kidney
5.3 %
6
Urethra
1.9 %
7
Bladder
1.8 %
8
Testis
1.3 %
9
Prostate
6.1 %
10
Bone
3.03 %
11
Brain
0.5 %
12
Hodgkin’s
0.1 %
13
Non- Hodgkin’s
1.2 %
14
Uterus
8.1 %
15
Ovary
4.5 %
16
Soft Tissue
2.6 %
17
Liver
2.4 %
18
Thyroid
2.8 %
19
Lymphatic System
2.0 %
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
49
Table (6): Show the Frequency of different type of cancer in monthly during 2018.
Month
Gastro
intestinal
Respirato
ry
Pancreas
Skin
Kidney
Urethra
Bladder
Testis
Prostate
Bone
Brain
Hodgkin’s
Non -
Hodgkin’s
Uterus
Ovary
Soft
Tissue
Liver
Thyroid
Lymphati
c’s
Total
Chi-
Square
(X2)
1
23
16.7%
20
14.5%
3
2.1%
13
9.4%
11
8.02%
1
0.7%
3
2.1%
3
2.1%
13
9.4%
3
2.1%
8
12.1%
5
3.6%
1
0.7%
13
9.4%
6
4.3%
1
0.7%
3
2.1%
4
2.9%
2
1.04%
137
6.25
**
2
22
18.9%
20
17.2%
4
3.4%
9
7.7%
4
3.4%
4
3.4%
1
0.8%
0
0%
8
6.8%
4
3.4%
10
8.6%
3
2.5%
2
1.7%
10
8.6%
3
2.5%
3
2.5%
2
1.7%
3
2.5%
4
3.4%
116
6.87
**
3
26
38.8%
7
10.4%
3
4.4%
2
2.9%
3
4.4%
0
0%
1
1.4%
0
0%
3
4.4%
1
1.4%
7
10.4%
0
0%
0
0%
7
10.4%
2
2.9%
2
2.9%
2
2.9%
0
0%
1
1.4%
67
9.52
**
4
14
31.1%
12
26.6%
1
2.2%
0
0%
0
0%
1
1.2%
1
2.2%
1
2.2%
2
4.4%
2
4.4%
2
4.4%
1
2.2%
0
0%
4
8.8%
0
0%
2
4.4%
0
0%
2
4.4%
0
0%
45
8.77
**
5
26
23.6%
21
19.09%
0
0%
4
3.6%
5
4.5%
2
1.8%
1
0.9%
3
2.7%
10
9.09%
0
0%
6
5.4%
4
3.6%
3
2.7%
6
5.4%
5
4.5%
1
0.9%
3
2.7%
5
4.5%
5
4.5%
110
7.03
**
6
22
33.8%
8
12.3%
2
3.07%
3
4.6%
1
1.5%
2
3.7%
0
0%
1
1.5%
2
3.7%
1
1.5%
4
6.1%
2
3.07%
1
1.5%
4
6.1%
7
10.7%
1
1.5%
4
6.1%
0
0%
0
0%
65
8.63
**
7
13
30.9%
10
23.8%
3
7.1%
1
2.3%
2
4.7%
0
0%
1
2.3%
0
0%
3
7.1%
1
2.3%
2
4.7%
0
0%
1
2.3%
2
4.7%
1
2.3%
0
0%
2
4.7%
0
0%
0
0%
42
8.47
**
8
14
35%
2
5%
2
5%
2
5%
2
5%
0
0%
0
0%
1
2.5%
4
10%
3
7.5%
1
2.5%
0
0%
0
0%
5
12.5%
3
7.5%
1
2.5%
0
0%
0
0%
0
0%
40
7.92
**
9
32
30.1%
5
4.7%
3
2.8%
1
0.9%
9
8.4%
9
8.4%
3
2.8%
0
0%
4
3.7%
3
2.8%
5
4.7%
2
1.8%
0
0%
12
11.3%
6
5.6%
4
3.7%
1
0.9%
1
0.9%
1
0.9%
106
7.86
**
10
47
45.1%
15
14.4%
2
1.9%
5
4.8%
5
4.8%
1
0.9%
0
0%
1
0.9%
2
1.9%
4
3.8%
3
2.8%
0
0%
0
0%
5
4.8%
6
5.7%
3
2.8%
0
0%
3
2.8%
3
2.8%
104
10.26
**
11
37
25%
21
14.1%
2
1.3%
6
4.5%
12
8.1%
2
1.3%
4
2.7%
4
2.7%
6
4.05%
7
4.7%
6
4.05%
3
2.02%
5
3.3%
13
8.7%
5
3.3%
3
2.02%
3
2.02%
4
2.7%
4
2.7%
148
10.50
**
12
33
19.1%
24
13.9%
5
2.9%
7
4.6%
8
4.6%
1
0.5%
6
3.4%
2
1.16%
14
8.1%
6
3.4%
12
6.9%
2
1.16%
1
0.5%
13
7.5%
8
4.6%
9
5.2%
8
4.6%
4
2.3%
4
2.3%
172
6.87
**
1152
Total
Chi-
Square
(X2)
8.37
**
7.55
**
2.38
NS
4.58
*
2.41
NS
4.33
*
0.87
NS
0.90
NS
2.48
NS
0.97
NS
4.72
*
0.84
NS
0.77
NS
4.19
*
1.73
NS
1.66
NS
0.86
NS
0.71
NS
0.63
NS
--
--
* (P<0.05), ** (P<0.01), NS: Non-Significant
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
50
DISCUSSION
The Iraqi people are sometime colloquially,
Mesopotamians or other people.[9] The total population
of Iraq 38,872,655 according to the latest statistical data.
The number of patients with cancer disease is also
expected to increase in association with the increase of
population. Cancer surveillance, a key attribute of
epidemiology and public health practice, provides
intelligence data on the burden of different types of
cancer in a specified population and through evidence
based on health programs, assesses the success of actions
against cancer.[10] The study demonstrated that high
prevalence in age groups (41-60y.) & (61-80y.) (42.7%
& 36.02%) respectively than other age groups. Advanced
age is important risk factor of cancer and associated with
poor prognosis. Approximately half of all malignancies
are diagnosed in patients older than (65 years).[11] Aging
is a complex process that deeply affects the immune
system. The decline of immune system with age is
reflected in the increase susceptibility to disease, poorer
response to vaccination, increase prevalence of cancer,
auto-immune disease and other chronic diseases.[12]
Aging also characterized by a progressive loss of
physiological integrity leading to impaired function. This
deterioration is the primary risk factor for major
pathologies including cancer.[13]
The study revealed that Baghdad showed higher
incidence of different cancer types (72%), then Dayala
(7.6%), Anbar (4.6%), and Wasit (4.5%), as mentioned
in the results. The increasing incidence in Baghdad due
to high risk of exposure to different war contaminants
because it’s the political capital of Iraq. While Dayala,
Anbar and Wasit beside the war factor, is the exposure to
organo-chlorines which include pesticides which were
used in agricultural process, these chemical as
carcinogenic agents.[14] Also Baghdad has developed
cancer detection centers more than the rest of
governorates.
Gastrointestinal tract cancer showed high prevalence
(26.8%), and then respiratory tract cancers (14.3%), then
Uterine cancer (8.1%), then prostate cancer (6.1%) than
other types. This higher incidence of gastrointestinal
tract cancer is generally seen in high-income countries,
while gastric and esophageal cancers are generally seen
in low-income countries.[15] The gene expression pattern
of human colon comprises a very heterogeneous group of
disease driven by vast array mutations and mutagenes.[16]
There are many predisposing factors in gastrointestinal
cancers and Colon Rectal Cancer (CRC) which is age,
Inflammation Bowel Disease (IBD), abdominal
radiation, cystic fibrosis.[17]
Respiratory tract cancer usually uncommon in people
younger than (55 years) as it’s partly a disease of
aging.[18] Other factors are high pollution due to diesel-
fueled of electric generators that are present in Iraq and
high traffic load.[19] Inherited variant alleles of the genes
that encode glutathione-s-transferases (GSTM1 and
GSTT1) protein involved in metabolism of tobacco
carcinogenes (Cytochrome P450 CYP 1Z1 genes) as
well as other genes responsible for DNA damage repair
are associated with increase susceptibility to respiratory
tract cancer especially the lungs.[20] Respiratory tract
cancer is the most commonly diagnosis cancer
worldwide and the leading cause of mortality.[21] Uterine
cancer is a top-ranking women cancer worldwide with
wide increase variation across countries and by rural and
urban area.[22] Abnormal uterine bleeding is most
common presenting symptom for women diagnosed with
endometrial cancer. Although genetic factors account for
a small percentage of women.[23]
Prostate cancer develops in the gland of the male
reproductive system.[24] Prostate cancer increase rapidly
during the last few years, the heterogeneity in the
genomic landscape of metastatic prostate cancer has
become apparent through several comprehensive
profiling efforts, but little is known about the impact of
this heterogeneity on clinical outcome.[25] The
gastrointestinal microbiome may help a role though
metabolism of estrogen, an increase of which has been
killed to the induction of prostatic neoplasia. Specific
microbiota such as bacteroides, streptococcus,
fecalibacterium, prausnitzii, Mycoplasma genitalium, has
been associated with differing risk of prostate cancer
development or extensiveness of prostate cancer disease.
The microbiome has the ability to regulate chemotherapy
of prostate cancer treatment.[26]
At the international level, the burden of cancer in
absolute numbers continues to increase mainly due to the
aging of population in many countries and the overall
growth of the world population.
In addition changing lifestyle with increasing cancer
causing behaviors, like cigarettes smoking, changing
dietary habits and sedentary life are among other, major
contibutory risk factors (27). Some other factor like
incomplete pregnancies and hysterectomy which affect
ovarian cancer.[28] Obesity factor which increased risk for
Hodgkin’s Lymphoma (HL).[29] Radio frequency, or
mobile phone possible carcinogenic to human and
expose to gliomas and acoustic neuromas.[30]
REFERENCES
1. Pesec M and Sherertz T.: Global health from a
cancer care perspective. Future Oncol, 2015; 11:
2235-45.
2. De Martel C, et. Al: Global burden of cancers
attributable to infection in 2008: a review and
synthetic analysis. Lancet Oncol, 2012; 13: 607e.
15.
3. Fitzmaurice D , Dicker A , Pain H , Hamarid and M.
Moradi-lakeh : The Global burden of cancer 2013.
JAMA Oncology, 2015; 1(4): 505-527.
4. Jemal , M.M center , C. Dev Santis and E. M. Word
: Global patterns of cancer incidence and mortality
Al-Akeedi et al. European Journal of Biomedical and Pharmaceutical Sciences
www.ejbps.com
51
rates and trends. Cancer Epidemiology Biomarkers
and prevention, 2010; 9(8): 1893-1907.
5. I Kulanova , F. Bray , I. Fadil et al : Profile of
cancer in the Eastern Mediterranean region. The
need for action. Cancer Epid., 2017; 47: 125-132.
6. C. Fitzaurice: Burden of cancer in the Eastern
Mediterranean Region 2005 2015 : Findings from
the Global Burden of the disease 2015 study.
International. J. of public Health, 2017; 1-4.
7. Al-Modouj, A. Eldali and A. Al-Zahrani. Ten years
incidence among Nationals of the GCC states 1998-
2007. Gulf center for cancer control and Prevention,
2011.
8. SAS. Statistical Analysis System , Users Guide.
Statistical Version 9.1th ed. SAS. Inst. Inc. Cary. N.
C. USA., 2012.
9. Press, The Associated (2005-0828) “Iraqi
constitution : We the people of Mesoptama. The
New York Times. Retrived, 2019.
10. Word Health Organization. WHA 58. 22. Cancer
prevention and control. In : World Health Assembly,
2005; 1-5.
11. Kendal WS : Dying with cancer : the influence of
age comorbidity and cancer site. Cancer, 2008; 112:
1354-62.
12. Nan-ping Weng and Graham Pawelec ,Researches
on in immunity and aging comes of age. Immunity
and aging, 2019; 16(8): 833.
13. Lopez. Otin C , Blasco MH ,Partridge L. et al , The
hallmarks of aging cell, 2013; 153: 1194-217.
14. Gammon MD ,Santella RM ,Neugut AI , Eng SM,
Teitelbaum SL , Paykin A , Levin B. , et al ,
Environmental toxins and breast cancer on long
Isiand. I Polycyclic aromatic hydrocarbon DNA
adduct , Cancer F pidemiology and Prevention
Biornarken, Aug 1, 2002; 11(8): 677-85.
15. Global Burden of disease cancer. C, Fitzmaurice C,
Alkinyemiju TF, et al: Global regional and National
Cancer Incidence, Mortality, years of life lost, Years
of life lived with Disability and Disability-adjusted
life-years for 29cancer groups 1990 to 2016: A
systemic analysis for the global burden of disease
study. JAMA Oncol, 2018; 4(11): 553-68.
16. Sideris M , Papagrigoriadis S. : Molecular
biomarker and classification models in the evalution
of the prognosis of colorectal cancer. Anti-cancer
Res., 2014; 2061-8.
17. Prashanth Rawta, Tagore Sunkara and Adam
Barsouk : Epidemiology of colorectal cancer,
incidence, mortality, survival and risk factor. Prz
Gastrointestinal, 2019; 14(2): 89-103.
18. De Groot P, Munden RF.: Lung cancer
epidemiology, risk factors and prevention. Radiol.
Clin. N. Am., 2012; 50: 863-876.
19. Nasser Z. , Salameh P., Dakik H., Elias E., Aou
Abbas L., Leveque A. : Outdoor air pollution and
Cardiovascular disease in Lebanon. A case-control
study. J. Environ. Public Health, 2015; 810846.
(Google Scholar).
20. Rahal Z., Abdullahai F., Kadara H., Saab R.:
Genomics of adults and pediatric solid tumors.
Am.J. Cancer. Res., 2018; 8: 1356-1386.
21. Ferlay J. et al: Estimating the global cancer
incidence and mortality in 2018: GLOBOCAN
sources and methods. Int. J. Cancer, 2019; 144:
1941-1953.
22. Saad A., Ahmed H., Robert M., et al : Changing
incidence of Uterine cancer in rural Egypt possible
impact of Nutritional and Epidemiological
transitions. J. of Global Oncology, 2019; 5: 1-7.
23. John F., Bogges, Joshua E Kilgore, Arthur-Quan
Tran: Uterine. Cancer Abeloffs Clinical Oncology,
2020; e4: 1508-1524.
24. Ruddon, Raymond W.: Cancer Biology (2007) 4th
ed. Oxford University. Press, 223.
25. Wassim A., Joanna C., Glenn H., et al: Genomic
Correlates of Clinical outcome in advanced Prostate
cancer. National Academy of sciences, 2019;
116(23): 11428-11436.
26. Sybil S, Liqiang N., et al: Human gastrointestinal
microbiota and prostate cancer development.
Investigative and chinical Urology, 2020; 61(1):
S43-S50.
27. Jemal A., Bray F., Center MM, Ferlay J., Ward E.,
Forman D., Global cancer statistics CA cancer J.
clin., 2011; 69-90.
28. Brett MR, Jennifer BP and Thomas AS. :
Epidemiology of ovarian cancer. Cancer Biol. Med.,
2017; 14(1): 9-32.
29. Helen S., Adam B., Liam S. and Krishnan B.: Body
mass index and Hodgkin’s Lymphoma: UK
population based Cohort study of 5.8 million
individuals. British J. of Cancer, 2019; 120: 768-
770.
30. Alberto Modenese, Leena K. and Fabriziomaria G. :
934 Gliomas incidence in Italy. Occup. Environ
Med., 2018; 75(2): A1-A650.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Purpose: Uterine cancer is a top-ranking women's cancer worldwide, with wide incidence variations across countries and by rural and urban areas. Hormonal exposures and access to health care vary between rural and urban areas, globally. Egypt has an overall low incidence of uterine cancer but variable rural and urban lifestyles. Are there changes in the incidence of uterine cancer in rural and urban areas in middle-income countries such as Egypt? No previous studies have addressed this question from a well-characterized and validated population-based cancer registry resource in middle-income countries. The aim of this study was to explore the differences in clinical and demographic characteristics of uterine cancer over the period of 1999 to 2010 in rural and urban Gharbiah province, Egypt. Methods: Data were abstracted for all 660 patients with uterine cancer included in the Gharbiah Population-based Cancer Registry. Clinical variables included tumor location, histopathologic diagnosis, stage, grade, and treatment. Demographic variables included age, rural or urban residence, parity, and occupation. Crude and age-adjusted incidence rates (IRs) and rate ratios by rural or urban residence were calculated. Results: No significant differences were observed in most clinical and demographic characteristics between rural and urban patients. The age standardized IR (ASR) was 2.5 times higher in urban than in rural areas (6.9 and 2.8 per 100,000 in urban and rural areas, respectively). The rate ratio showed that the IR in urban areas was 2.46 times the rate in rural areas. Conclusion: This study showed that the disease IR in rural areas has increased in the past decade but is still low compared with the incidence in urban areas in Egypt, which did not show a significant increase in incidence. Nutritional transitions, obesity, and epidemiologic and lifestyle changes toward Westernization may have led to IRs increasing more in rural than in urban areas in Egypt. This pattern of increasing incidence in Egypt, which used to have a low incidence of uterine cancer, may appear in other middle-income countries that experience emerging nutritional and epidemiologic transitions. The rate of uterine cancer in urban areas in Gharbiah is almost similar to the corresponding rates globally. However, the rate in rural areas in this population has increased over the past decade but is still lower than the corresponding global rates. Future studies should examine the etiologic factors related to increasing rates in rural areas and quantify the improvement in rural case finding.
Article
Full-text available
Heterogeneity in the genomic landscape of metastatic prostate cancer has become apparent through several comprehensive profiling efforts, but little is known about the impact of this heterogeneity on clinical outcome. Here, we report comprehensive genomic and transcriptomic analysis of 429 patients with metastatic castration-resistant prostate cancer (mCRPC) linked with longitudinal clinical outcomes, integrating findings from whole-exome, transcriptome, and histologic analysis. For 128 patients treated with a first-line next-generation androgen receptor signaling inhibitor (ARSI; abiraterone or enzalutamide), we examined the association of 18 recurrent DNA- and RNA-based genomic alterations, including androgen receptor ( AR ) variant expression, AR transcriptional output, and neuroendocrine expression signatures, with clinical outcomes. Of these, only RB1 alteration was significantly associated with poor survival, whereas alterations in RB1 , AR , and TP53 were associated with shorter time on treatment with an ARSI. This large analysis integrating mCRPC genomics with histology and clinical outcomes identifies RB1 genomic alteration as a potent predictor of poor outcome, and is a community resource for further interrogation of clinical and molecular associations.
Article
Full-text available
Ageing has a profound detrimental impact on almost all living organisms. Immune systems play a particularly important role in protection against external challenges (pathogens) and internal insults (cancer) but their protective capacity commonly wanes with advancing age. With the rapid increase in the numbers of older people around the world, research in the field of immunity and ageing is becoming increasingly important. This realization, together with recent and ongoing technical advances in analytical capabilities, is facilitating rapid progress towards a better understanding of immunity and ageing and the resulting anticipated improved application of this knowledge to medical treatments in the years ahead.
Article
Full-text available
Previous epidemiological studies describe a positive association between body mass index (BMI) and Hodgkin’s lymphoma, mainly in obese vs. normal weight individuals. We examined the shape of this relationship in individuals aged 16 years or older, using primary care data from the United Kingdom’s Clinical Practice Research Datalink. Cox models were fitted with linear, non-linear (spline) and categorical BMI. Models were adjusted for potential confounders and effect modification was investigated. Five point eight two million patients were included, 927 of whom developed Hodgkin’s lymphoma during 41.6 million years of follow-up. Each 5 kg/m2 increase in BMI was associated with a 10% increase in Hodgkin’s lymphoma (95% confidence intervals: 2–19). Analysis of non-linearity suggested a J-shaped association with incidence increasing with BMI above 24.2 kg/m2. Seven point four per cent of adult Hodgkin’s lymphoma cases were estimated to be attributable to excess weight. Our findings suggest a pattern of increasing risk beyond the World Health Organisation healthy weight category in the general population.
Article
Full-text available
According to GLOBOCAN 2018 data, colorectal cancer (CRC) is the third most deadly and fourth most commonly diagnosed cancer in the world. Nearly 2 million new cases and about 1 million deaths are expected in 2018. CRC incidence has been steadily rising worldwide, especially in developing countries that are adopting the "western" way of life. Obesity, sedentary lifestyle, red meat consumption, alcohol, and tobacco are considered the driving factors behind the growth of CRC. However, recent advances in early detection screenings and treatment options have reduced CRC mortality in developed nations, even in the face of growing incidence. Genetic testing and better family history documentation can enable those with a hereditary predisposition for the neoplasm to take preventive measures. Meanwhile, the general population can reduce their risk by lowering their red meat, alcohol, and tobacco consumption and raising their consumption of fibre, wholesome foods, and certain vitamins and minerals.
Article
Full-text available
Different types of cancers exhibit disparate spectra of genomic alterations (germline and/or somatic). These alterations can include single nucleotide variants (SNVs), copy number alterations (CNAs) or structural changes (e.g. gene fusions and chromosomal rearrangements). Identification of those genomic alterations has provided the opportune element to derive new strategies for molecular-based precision medicine of adult and pediatric cancers including risk assessment, non-invasive detection, molecular diagnosis and personalized therapy. Moreover, it is now becoming clear that the spectra of genomic-based alterations and mechanisms in pediatric malignancies are different from those predominantly occurring in adult cancer. Adult cancers on average exhibit substantially higher mutational burdens compared with the vast majority of childhood tumors. Accumulating evidence also suggests that the type of genomic alterations frequently encountered in adult cancers is different from those observed in pediatric malignancies. In this review, we discuss the state of knowledge on adult and pediatric cancer genomes (or "mutatomes"), specifically focusing on solid tumors. We present an overview of mutational signatures and processes in cancer as well as comprehensively compare and contrast the diverse spectra of genomic alterations (somatic and familial) among major adult and pediatric solid tumors. The review also discusses the role of genomics in molecular-based precision medicine of adult and pediatric solid malignancies as well as comprehending resistance mechanisms to various targeted therapies. In addition, we present a perspective that discusses upon emerging concepts in cancer genomics including intratumoral heterogeneity, the precancer (premalignant) genome as well as the interface between the host immune response and tumor genome - immunogenomics - as they relate to adult and pediatric tumors.
Article
Full-text available
Importance The increasing burden due to cancer and other noncommunicable diseases poses a threat to human development, which has resulted in global political commitments reflected in the Sustainable Development Goals as well as the World Health Organization (WHO) Global Action Plan on Non-Communicable Diseases. To determine if these commitments have resulted in improved cancer control, quantitative assessments of the cancer burden are required. Objective To assess the burden for 29 cancer groups over time to provide a framework for policy discussion, resource allocation, and research focus. Evidence Review Cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs) were evaluated for 195 countries and territories by age and sex using the Global Burden of Disease study estimation methods. Levels and trends were analyzed over time, as well as by the Sociodemographic Index (SDI). Changes in incident cases were categorized by changes due to epidemiological vs demographic transition. Findings In 2016, there were 17.2 million cancer cases worldwide and 8.9 million deaths. Cancer cases increased by 28% between 2006 and 2016. The smallest increase was seen in high SDI countries. Globally, population aging contributed 17%; population growth, 12%; and changes in age-specific rates, −1% to this change. The most common incident cancer globally for men was prostate cancer (1.4 million cases). The leading cause of cancer deaths and DALYs was tracheal, bronchus, and lung cancer (1.2 million deaths and 25.4 million DALYs). For women, the most common incident cancer and the leading cause of cancer deaths and DALYs was breast cancer (1.7 million incident cases, 535 000 deaths, and 14.9 million DALYs). In 2016, cancer caused 213.2 million DALYs globally for both sexes combined. Between 2006 and 2016, the average annual age-standardized incidence rates for all cancers combined increased in 130 of 195 countries or territories, and the average annual age-standardized death rates decreased within that timeframe in 143 of 195 countries or territories. Conclusions and Relevance Large disparities exist between countries in cancer incidence, deaths, and associated disability. Scaling up cancer prevention and ensuring universal access to cancer care are required for health equity and to fulfill the global commitments for noncommunicable disease and cancer control.
Article
Full-text available
Objectives To estimate incidence, mortality, and disability- adjusted life years (DALYs) caused by cancer in the Eastern Mediterranean Region (EMR) between 2005 and 2015. Methods Vital registration system and cancer registry data from the EMR region were analyzed for 29 cancer groups in 22 EMR countries using the Global Burden of Disease Study 2015 methodology. Results In 2015, cancer was responsible for 9.4% of all deaths and 5.1% of all DALYs. It accounted for 722,646 new cases, 379,093 deaths, and 11.7 million DALYs. Between 2005 and 2015, incident cases increased by 46%, deaths by 33%, and DALYs by 31%. The increase in cancer incidence was largely driven by population growth and population aging. Breast cancer, lung cancer, and leukemia were the most common cancers, while lung, breast, and stomach cancers caused most cancer deaths. Conclusions Cancer is responsible for a substantial disease burden in the EMR, which is increasing. There is an urgent need to expand cancer prevention, screening, and awareness programs in EMR countries as well as to improve diagnosis, treatment, and palliative care services.
Article
The effect of gastrointestinal microbiota on prostate cancer development, its role in chemotherapy treatment, and the importance of NGS.
Article
Estimates of the worldwide incidence and mortality from 36 cancers and for all cancers combined for the year 2018 are now available in the GLOBOCAN 2018 database, compiled and disseminated by the International Agency for Research on Cancer (IARC). This paper reviews the sources and methods used in compiling the cancer statistics in 185 countries. The validity of the national estimates depends upon the representativeness of the source information, and to take into account possible sources of bias, uncertainty intervals are now provided for the estimated sex‐ and site‐specific all‐ages number of new cancer cases and cancer deaths. We briefly describe the key results globally and by world region. There were an estimated 18.1 million (95% UI: 17.5‐18.7 million) new cases of cancer (17 million excluding non‐melanoma skin cancer) and 9.6 million (95% UI: 9.3‐9.8 million) deaths from cancer (9.5 million excluding non‐melanoma skin cancer) worldwide in 2018. This article is protected by copyright. All rights reserved.