|
Ji
Zhang, Xiang-Qian Su, Xiao-Jiang Wu, Xiang-Long Zong, Yi Wang, Jia-Fu
Ji, Department of Surgery, Beijing Cancer Hospital, Beijing
Institute of Cancer Research, School of Oncology, Peking University,
Beijing 100036, China
Ya-Hang Liu, Hua Wang, Department of Surgery, 1st Teaching
Hospital, Inner Mongolian Medical School, Hohhot 010005, Inner
Mongolia Autonomous Region, China
Supported by the National High Technology Research and
Development Program of China (863 Program), No.2001AA227101
Correspondence to: Professor Jia-Fu Ji, Department of
Surgery, Beijing Cancer Hospital, Beijing Institute of Cancer
Research, School of Oncology, Peking University, Beijing 100036,
China. jiafuj@hotmail.com
Telephone: +86-10-88121122-2048
Fax: +86-10-88121122-2049
Received: 2003-07-12
Accepted: 2003-07-30
Abstract
AIM: Obesity has been proved as one of the main risk factors for
gastric cardia adenocarcinoma (GCA) in the West. The objective of
our research was to evaluate the relationship between obesity and
the risk of GCA in people from North China.
METHODS:
A total of 300 patients who had been diagnosed as GCA and had
accepted surgical operation at Beijing Cancer Hospital from 1995 to
2002 were enrolled. Data were collected from pathology materials and
hospital records. Two hundred and fifty-eight healthy people who had
accepted health examination at the same hospital during the same
period were enrolled as controls. Height, weight and gender of them
at the time of examination were also collected. Obesity was
estimated by body mass index (BMI), computed as weight in kilograms
per square surface area (Kg/m2). The degree of obesity
was determined by using BMI≤18.5, 24-27.9 and ≥28 (Kg/m2)
as the cut-off points for underweight/normal, overweight and
obesity, respectively. Associations with obesity were estimated by
odds ratios (ORs) and 95 % confidence intervals (CIs). All ORs were
adjusted for age and sex.
RESULTS:
The mean level of BMI was significantly lower in the patient group
than that in the control group. The ORs for obesity in age groups
30-59 and 60-79 were 1.15 (95 % CI=0.37-3.65) and 0.16 (95 %
CI=0.05-0.44) for males and 0.78 (95 % CI=0.26-2.36) and 0.28 (95 %
CI=0.04-2.05) for females, respectively. The ORs for underweight
were 2.42 (95 % CI=0.56-10.53) and 4.68 (95 % CI=1.13-19.40) for
males in age subgroups 30-59 and 60-79 and 40.7 (95 %
CI=9.32-177.92) for females older than 60 yrs. BMI was significantly
associated with GCA (P<0.01). Underweight people were at
high risk for GCA.
CONCLUSION:
BMI is an independent risk factor for GCA. Underweight is positively
associated with GCA.
Zhang
J, Su XQ, Wu XJ, Liu YH, Wang H, Zong XN, Wang Y, Ji JF. Effect of
body mass index on adenocarcinoma of gastric cardia. World J
Gastroenterol 2003;
9(12): 2658-2661
http://www.wjgnet.com/1007-9327/9/2658.asp
INTRODUCTION
The incidence of gastric cardia adenocarcinoma (GCA) has been
rising steadily over the past two decades in the United States and
Western Europe[1-6]. Extensive studies have been
conducted, trying to find its etiological reasons. Some studies
showed that the risk for GCA was higher in obese people than that in
normal counterparts. It has been generally accepted that obesity is
one of the main risk factors for GCA[7-9]. Of all the
hypotheses explaining the association between obesity and GCA,
reflux theory is the widely accepted one[10-17]. Based on
this theory, obesity can promote gastroesophageal reflux disease by
increasing intra-abdominal pressure. Gastroesophageal reflux
predisposes to Barrett�s esophagus which is a metaplastic
precursor state for GCA[18-23]. But the reflux theory
cannot explain every aspect of the manifestations of GCA. The real
mechanism underlying the disease is still unclear.
We
are still unaware if the incidence of GCA has the same pattern in
China as in Western world. Based on previous studies, we know that
GCA is not rare in China[24]. Great differences exist in
life styles and diet habits between Chinese and the Westerners.
Elucidating the association between obesity and GCA among Chinese
people will be very helpful for prevention and early diagnosis of
the disease. The objectives of our study were to investigate whether
obesity was more prevalent in patients with GCA than in healthy
people, whether the risk for GCA was greater in obese people than in
non-obese counterparts, and whether obesity was a
dependent/independent risk factor for GCA.
We
used body mass index (BMI) to evaluate the degree of obesity. In
Western world, the cut-off points of BMI for overweight and obesity
are 25 kg/m2 and 30 mg/m2. The Chinese people
are relatively lean. It is not appropriate to use the same criteria.
Recently, a population-based investigation was conducted[25,26]
by Zhou et al in China. Their results suggested that the
cut-off points of BMI for underweight, overweight and obesity of the
Chinese people were 18.5 kg/m2, 24 kg/m2 and
28 kg/m2. We used the later criteria in our study.
MATERIALS
AND METHODS
Materials
Three hundred patients were enrolled to receive radical
operation for GCA in the Department of Surgery at Beijing Cancer
Hospital from January 1, 1995 to December 31, 2002. All the hospital
records and pathologic materials of these patients were reviewed.
The inclusion criteria were listed as follows: The patients were 30
years old or older and the diagnosis of GCA was confirmed by
pathologic examinations (reviewed by two independent pathologists).
Classification was based on Dr. Siewert�s criteria for gastric
cardia carcinoma[27].
The
exclusion criteria were stipulated as follows: (1) The patients had
a history of malignancies other than GCA; (2) The patients had a
history of wasting disease before the diagnosis of the studied
malignancy; (3) Adenocarcinoma was not diagnosed as the only
histological type of the original malignancy; (4) The patients had a
history of gastric cancer and received radical partial gastrectomy.
The GCA arose from his/her gastric remnant.
Two hundred and fifty-eight residents who received health
examination at Beijing Cancer Hospital from January 1, 2000 to
December 31, 2002 were enrolled as healthy control subjects. All the
healthy subjects were 30 years old or older, and had no history of
any wasting disease. Pregnant women were not included in this study.
Methods
Data, including age, gender, height, weight of the patients
and control subjects, were collected. For all patients who
experienced weight loss during the disease, their usual height and
weight before the disease were also collected. Patients whose
hospital records could not provide all the information were not
included in this study.
Obesity
was measured by BMI, and computed as weight in kilograms per square
surface area in square meters (kg/m2). The height and
weight before the disease were used to compute the BMI for patients
who had experienced weight loss before the diagnosis was confirmed.
The patients and control subjects of the same gender were compared
with their mean values of BMI. The patients and control subjects
were subdivided into five 10-year age subgroups (age 30-39, 40-49,
50-59, etc.). All the subjects were also divided into 2 age
subgroups, age ≤60 yrs or age >60 yrs. Mean values of BMI were
compared between patients and control subjects in the same age
subgroup.
According
to their value of BMI, all the subjects were subdivided into four
subgroups (underweight, normal, overweight and obesity) using 18.5,
24 and 28 as the cut-off points of BMI for underweight, overweight
and obesity. Relative risks of each group were estimated by odds
ratios (ORs) and 95 % confidence intervals (CIs).
Statistic
analysis of the data was performed using Chi-square test, with a
level of significance at P≤0.05. Monte Carlo estimate was used to
balance the differences in age and sex structure between the two
groups. Lastly, we used logistic regression to evaluate whether
obesity was an independent risk factor for GCA.
RESULTS
A total of 300 patients, including 51 women and 249 men, aged
34-80 yrs (median 61.9 yrs), and 258 healthy control subjects (144
women and 114 men) aged 31-78 yrs (median 53.57 yrs), were finally
enrolled. The age and sex structure of the patient group differed
significantly from those of the control group (P<0.01).
The
mean value of BMI was 22.90 kg/m2 in the patient group
and 24.85 kg/m2 in the control group. In each coordinated
sex or age subgroup, patients tended to have a low level of BMI than
healthy control subjects (Table 1 and Table 2). After sex and age
structures were balanced, the mean value of BMI was significantly
lower in the patients group than that in the healthy control group (P<0.01).
Table
1 Mean
levels of BMI in each age group of patients and healthy control
subjects
| Age |
Patient
group |
Control
group |
| Number
of cases |
Median
level of BMI |
Number
of cases |
Median
level of BMI |
| 30-39 |
8 |
21.94 |
50 |
24.26 |
| 40-49 |
27 |
22.37 |
69 |
25.54 |
| 50-59 |
84 |
22.64 |
55 |
24.71 |
| 60-69 |
134 |
23.46 |
54 |
24.93 |
| 70-79 |
47 |
22.25 |
30 |
24.38 |
| Total |
300 |
22.90 |
258 |
24.85 |
Table
2 Mean levels of
BMI in each sex group of patients and healthy control subjects
| Gender |
Patient
group |
Control
group |
| Number
of cases |
Median
level of BMI |
Number
of cases |
Median
level of BMI |
| Male |
249 |
22.88 |
115 |
24.75 |
| Female |
51 |
23.02 |
143 |
24.94 |
| Total |
300 |
22.90 |
258 |
24.85 |
After all the subjects were labeled as underweight, normal,
overweight or obesity based on their BMI, the odds ratios and 95 %
confidence intervals in each BMI subgroup were calculated. We used
Monte Carlo estimate to balance the differences in age and sex
between the two groups, 60 yrs as the cut-off point for age
subdivision. In each coordinated subgroup, high BMI people did not
show any elevated risk for GCA compared with low BMI ones. On the
contrary, the relative risk for GCA rose significantly when the BMI
of the subject reached the underweight criteria, especially in women
older than 60 yrs (P<0.05 by Fisher�s exact test). The
risk did not show significant differences only in men of 60 yrs old
and younger (Table 3 and Table 4).
Table
3 Odds ratios (ORs)
and 95 % confidence intervals (CIs) with body mass index (BMI) by
age and sex
| Age |
Sex |
BMI
group |
Studied
group |
Total |
ORs |
95
% |
CIs |
| Control |
Patient |
| 1a |
Male |
UWc |
2 |
16 |
18 |
2.42 |
0.56 |
10.53 |
|
|
NMd |
19 |
84 |
103 |
1.55 |
0.80 |
3.03 |
|
|
OWe |
20 |
42 |
62 |
0.45 |
0.23 |
0.89 |
|
|
OBf |
4 |
16 |
20 |
1.15 |
0.37 |
3.65 |
|
|
TOTAL |
45 |
158 |
203 |
|
|
|
|
Female |
UW |
0 |
5 |
5 |
- |
- |
- |
|
|
NM |
18 |
12 |
30 |
1.01 |
0.40 |
2.55 |
|
|
OW |
18 |
8 |
26 |
0.56 |
0.21 |
1.49 |
|
|
OB |
11 |
6 |
17 |
0.78 |
0.26 |
2.36 |
|
|
TOTAL |
47 |
31 |
78 |
|
|
|
| 2b |
Male |
UW |
2 |
11 |
13 |
4.68 |
1.13 |
19.40 |
|
|
NM |
26 |
45 |
71 |
1.66 |
0.88 |
3.13 |
|
|
OW |
26 |
31 |
57 |
0.87 |
0.46 |
1.68 |
|
|
OB |
16 |
4 |
20 |
0.16 |
0.05 |
0.44 |
|
|
TOTAL |
70 |
91 |
161 |
|
|
|
|
Female |
UW |
1 |
6 |
7 |
40.7 |
9.32 |
177.92 |
|
|
NM |
45 |
7 |
52 |
0.61 |
0.22 |
1.66 |
|
|
OW |
35 |
6 |
41 |
0.75 |
0.26 |
2.12 |
|
|
OB |
15 |
1 |
16 |
0.28 |
0.04 |
2.05 |
|
|
TOTAL |
96 |
20 |
116 |
|
|
|
a.
Age group 1: ≤60 yrs, b. Age group 2: >60 yrs, c.
UW=underweight (BMI<18.5 kg/m2), d. NM=Normal
(18.5≤BMI<24 kg/m2), e. OW=Overweight
(24≤BMI<28 kg/m2), f. OB=Obesity (BMI≥28 kg/m2).
Table
4 Fisher�s exact
test for evaluation of significance of association between
underweight and high relative risk for GCA
| Age |
Sex |
x2
value |
P |
Monte
carlo sig. (2-sided) |
| 99
% confidence interval |
| Lower
bound |
Upper bound |
| 1a |
Male |
5.357 |
0.136 |
0.127 |
0.144 |
| |
Female |
8.161 |
0.036 |
0.031 |
0.041 |
| 2b |
Male |
16.438 |
0.001 |
0.000 |
0.002 |
| |
Female |
17.196 |
0.001 |
0.000 |
0.001 |
a.
Age Group 1: ≤60 yrs, b. Age Group 2: >60 yrs.
Compared with age, sex, previous gastrointestinal disease
history and family history of gastric cancer, MBI showed itself to
be an independent risk factor for GCA (Table 5, Table 6) (P<0.01).
Table
5 Logistic
regression analysis of sex, BMI and age group 1
|
B |
SEa |
P |
OR |
95% |
CIs |
| Sex |
-1.714 |
0.210 |
<0.01 |
0.180 |
0.119 |
0.272 |
| BMI |
-0.152 |
0.028 |
<0.01 |
0.859 |
0.813 |
0.907 |
| Age
group1b |
1.082 |
0.198 |
<0.01 |
2.952 |
2.002 |
4.351 |
| Constant |
4.473 |
0.777 |
<0.01 |
87.589 |
|
|
a.
SE=standard error, b. Age group1: The subjects were divided into two
age subgroup: age ≤60 yrs and age >60 yrs.
Table
6 Logistic
regression analysis of sex, BMI and age group 2
|
B |
SEa |
P |
OR |
95% |
CIs |
| Sex |
-1.668 |
0.214 |
<0.01 |
0.189 |
0.124 |
0.287 |
| BMI |
-0.156 |
0.029 |
<0.01 |
0.856 |
0.809 |
0.905 |
| Age
group2b |
0.609 |
0.090 |
<0.01 |
1.838 |
1.541 |
2.193 |
| Constant |
4.105 |
0.790 |
<0.01 |
60.662 |
|
|
a.
SE=standard error, b. Age group 2: The subjects were divided into 5
10-year age subgroups (30-39 yrs, 40-49 yrs, 50-59 yrs, 60-69 yrs,
70-79 yrs, etc.).
DISCUSSION
Firstly, we wanted to elucidate whether obesity was more
prevalent in patients with GCA than in healthy people. After
calculating BMI of all the subjects, using the height and weight
before the disease for patients who had experienced weight loss
before the diagnosis was confirmed, we found that obesity did not
tend to be more prevalent in patients with GCA than in healthy
control subjects. The mean value of BMI in each group was 22.90 kg/m2
and 24.85 kg/m2 (P<0.01). Within each
coordinated sex or age subgroup, the patients always had a lower
level of BMI (Table 1 and Table 2). The trend did not show any
change after sex and age were balanced between the two groups.
We divided all the subjects into four subgroups according to
the criteria of BMI for underweight, overweight and obesity proposed
by Zhou et al[25,26]. After we calculated the
relative risk in each group, we found that it did not rise with the
elevation of BMI. The ORs for obesity in age groups of 30-59 and
60-79 years were 1.15 (95 % CI=0.37-3.65) and 0.16 (95 %
CI=0.05-0.44) for males and 0.78 (95 % CI=0.26-2.36) and 0.28 (95 %
CI=0.04-2.05) for females, respectively. On the contrary,
underweight people had the greatest risk, ORs for underweight were
2.42 (95 % CI=0.56-10.53) and 4.68 (95 % CI=1.13-19.40) for males in
age subgroup 30-59 and 60-79 and 40.7 (95 % CI=9.32-177.92) for
females older than 60 yrs. No underweight subject was found in
healthy female subjects of 60 yrs old or younger. So the ORs for
underweight in this subgroup could not be calculated. After
performing Fisher�s exact test, we found that the underweight
people were more likely to get GCA (P<0.05) except for men
under 60 yrs old (Table 4).
Sex and age might be the influence factors for BMI. Logistic
regression was performed to investigate the relationship between BMI
and GCA. As shown in Table 5 and Table 6, the association between
risk of GCA and BMI was significant (P<0.01). Underweight
people showed a high possibility of GCA.
Our
results differed greatly from not only those in the Western
countries but also those of Chow et al. in Shanghai, China[7,8,9,28].
The reasons behind the difference might be the genetic background,
life style and cut-off points for BMI. The genetic background of the
Chinese people differs greatly from those of the Westerners. It even
differs in different parts of China. It has been proved that life
styles, including smoking, alcohol consumption, and dietary habits
could influence the incidence and prognosis of GCA[29].
Even in China, people in different areas have their particular life
styles. For example, citizens of Shanghai take more fresh fruits and
vegetables than residents of Beijing. Results of the correlative
researches conducted in Shanghai were similar to those of the
Westerners. The patients enrolled in our research were mainly from
North China, which may cause the difference. Secondly, the cut-off
points for underweight, overweight and obesity used in our study
were different from those used in previous researches. Our study
suggests that obesity should not be a risk factor for the North
Chinese people.
According
to Siewert�s classification, GCA is classified into three types
based on its anatomy location. Yasuhiro et al noticed a
striking difference between the East and the West in the proportion
of patients who fell into each type of GCA[30]. Type I
cancer, or adenocarcinoma of the lower esophagus was reported to be
more prevalent in the Western countries[31] while type
III cancer, or adenocarcinoma of the proximal stomach was
predominant in Japan. By reviewing pathologic materials of GCA
patients, we found that the distribution of GCA types in our patient
group was very similar to that of Japanese (data not shown). Obesity
might be a risk factor for type I cancer. GCA might have a
particular mechanism in the Eastern countries[32].
GCA
tended to be more prevalent in aged people[33]. In our
study, the median age of the patient group was significantly higher
than that of the control group. Epidemiological evidences showed
that the proportion of obese people rose with increase of age. It
must be clarified that whether a high proportion of aged people can
lead to a high prevalence of obesity in the patients group or
obesity really predisposes to GCA. Evidences that were opposed to
the reflux theory have been also available[34,35].
Besides, one important precondition of the obesity-reflux-carcinogenesis
theory is that reflux is the real risk factor. Our next research
will be focused on how reflux influences cells at the gastric cardia.
REFERENCES
1
Blot WJ, Devesa SS, Kneller RW, Fraumeni JF Jr. Rising
incidence of adenocarcinoma of the esophagus and gastric
cardia. JAMA 1991; 265: 1287-1289
2
Armstrong RW, Borman B. Trends in incidence rates of
adenocarcinoma of the oesophagus and gastric cardia in New
Zealand, 1978-1992. Int J Epidemiol
1996; 25: 941-947
3
Zheng T, Mayne ST, Holford TR, Boyle P, Liu W, Chen Y, Mador
M, Flannery J. The time trend and age-period-cohort
effects on incidence of
adenocarcinoma of the stomach in Connecticut from 1955-1989. Cancer
1993; 72: 330-340
4
Pera M, Cameron AJ, Trastek VF, Carpenter HA, Zinsmeister AR.
Increasing incidence of adenocarcinoma of the
esophagus and esophagogastric
junction. Gastroenterology 1993; 104: 510-513
5
Walther C, Zilling T, Perfekt R, Moller T. Increasing
prevalence of adenocarcinoma of the oesophagus and
gastro-oesophageal junction: a study
of the Swedish population between 1970 and 1997. Eur J Surg
2001; 167: 748-757
6
Posner MC, Vokes EE, Weichselbaum RR. Cancer of the upper
gastrointestinal tract. Hamilton:BC Decker 2002: 86-87
7
Chow WH, Blot WJ, Vaughan TL, Risch HA, Gammon MD, Stanford
JL, Dubrow R, Schoenberg JB, Mayne ST, Farrow
DC, Ahsan H, West AB, Rotterdam H,
Niwa S, Fraumeni JF Jr. Body mass index and risk of adenocarcinomas
of the
esophagus and gastric cardia. J Natl
Cancer Inst 1998; 90: 150-155
8
Vaughan TL, Davis S, Kristal A, Thomas DB. Obesity, alcohol,
and tobacco as risk factors for cancers of the esophagus
and gastric cardia: adenocarcinoma
versus squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev
1995; 4: 85-92
9
Lagergren J, Bergstrom R, Nyren O. Association between body
mass and adenocarcinoma of the esophagus and gastric
cardia. Ann Intern Med 1999; 130:
883-890
10
Bremner CG, Lynch VP, Ellis FH Jr. Barrett�s esophagus:
congenital or acquired? An experimental study of esophageal
mucosal regeneration in the dog.
Surgery 1970; 68: 209-216
11
Fisher BL, Pennathur A, Mutnick JL, Little AG. Obesity
correlates with gastroesophageal reflux. Dig Dis Sci
1999; 44: 2290-2294
12
Fraser-Moodie CA, Norton B, Gornall C, Magnago S, Weale AR,
Holmes GK. Weight loss has an independent
beneficial effect on symptoms of
gastro-oesophageal reflux in patients who are overweight. Scand
J
Gastroenterol 1999; 34: 337-340
13
Terry P, Lagergren J, Wolk A, Nyren O. Reflux-inducing
dietary factors and risk of adenocarcinoma of the esophagus
and gastric cardia. Nutr Cancer 2000;
38: 186-191
14
Oberg S, DeMeester TR, Peters JH, Hagen JA, Nigro JJ,
DeMeester SR, Theisen J, Campos GM, Crookes PF. The extent
of Barrett�s esophagus depends on
the status of the lower esophageal sphincter and the degree of
esophageal acid
exposure. J Thorac Cardiovasc Surg
1999; 117: 572-580
15
Attwood SE, DeMeester TR, Bremner CG, Barlow AP, Hinder RA.
Alkaline gastroesophageal reflux: implications in
the development of complications in
Barrett�s columnar-lined lower esophagus. Surgery 1989; 106:
764-770
16
Oritz-Hidalgo C, De La Vega G, Aguirre-Garcia J. The
histopathology and biologic prognostic factors of Barrett�s
esophagus: a review. J Clin
Gastroenterol 1998; 26: 324-333
17
Stein HJ, Kauer WK, Feussner H, Siewert JR. Bile reflux in
benign and malignant Barrett�s esophagus: effect of medical
acid suppression and nissen
fundoplication. J Gastrointest Surg 1998; 2: 333-341
18
Sampliner RE. Practice guidelines on the diagnosis,
surveillance, and therapy of Barrett�s esophagus. The practice
parameters committee of the American
college of gastroenterology. Am J Gastroenterol 1998; 93: 1028-1032
19
Cameron AJ, Lomboy CT, Pera M, Carpenter HA. Adenocarcinoma
of the esophagogastric junction and Barrett�s
esophagus. Gastroenterology 1995;
109: 1541-1546
20
Spechler SJ, Goyal RK. The columnar-lined esophagus,
intestinal metaplasia, and Norman Barrett. Gastroenterology
1996; 110: 614-621
21
DeMeester SR, DeMeester TR. Columnar mucosa and intestinal
metaplasia of the esophagus: fifty years of
controversy. Ann Surg 2000; 231:
303-321
22
Clark GW, Smyrk TC, Burdiles P, Hoeft SF, Peters JH, Kiyabu
M, Hinder RA, Bremner CG, DeMeester TR. Is Barrett�s
metaplasia the source of
adenocarcinomas of the cardia? Arch Surg 1994; 129: 609-614
23
Ishaq S, Jankowski JA. Barrett�s metaplasia:clinical
implications. World J Gastroenterol
2001; 7: 563-565
24
Wang LD, Zheng S, Zheng ZY, Casson AG. Primary
adenocarcinomas of lower esophagus, esophagogastric junction
and gastric cardia: In special
reference to China. World J Gastroenterol 2003; 9: 1156-1164
25
Zhou BF. Predictive values of body mass index and waist
circumference for risk factors of certain related diseases
in Chinese adults-study on optimal
cut-off points of body mass index and waist circumference in Chinese
adults.
Biomed Environ Sci 2002; 15: 83-96
26
Zhou BF. Effect of body mass index on all-cause mortality and
incidence of cardiovascular diseases-report
for
meta-analysis of prospective studies
open optimal cut-off points of body mass index in Chinese adults.
Biomed
Environ Sci 2002; 15: 245-252
27
Siewert JR, Stein HJ. Classification of adenocarcinoma of the
oesophagogastric junction. Br J Surg 1998; 85:1457-1479
28
Ji BT, Chow WH, Yang G, McLaughlin JK, Gao RN, Zheng W, Shu
XO, Jin F, Fraumeni, JF Jr, Gao YT. Body mass index
and the risk of cancers of the
gastric cardia and distal stomach in Shanghai, China. Cancer
Epidemiol Biomarkers
Prev 1997; 6: 481-485
29
Cai L, Zheng ZL, Zhang ZF. Risk factors for the gastric
cardia cancer: a case-control study in Fujian Province. World
J Gastroenterol 2003; 9: 214-218
30
Kodera Y, Yamamura Y, Shimizu Y, Torii A, Hirai T, Yasui K,
Morimoto T, Kato T. Adenocarcinoma of the
gastroesophageal junction in Japan:
relevance of Siewert�s classification applied to 177 cases
resected at a
single institution. J Am Coll Surg
1999; 189: 594-601
31
Wijnhoven BP, Siersema PD, Hop WC, van Dekken H, Tilanus HW.
Adenocarcinomas of the distal oesophagus and
gastric cardia are one clinical
entity. Rotterdam oesophageal tumour study group. Br J Surg 1999;
86: 529-535
32
Gao SS, Zhou Q, Li YX, Bai YM, Zheng ZY, Zou JX, Liu G, Fan
ZM, Qi YJ, Zhao X, Wang LD. Comparative studies on
epithelial lesions at gastric cardia
and pyloric antrum in subjects from a high incidence area for
esophageal cancer
in Henan, China. World J
Gastroenterol 1998; 4: 332-333
33
Daly JM, Karnell LH, Menck HR. National cancer Data Base
report on esophageal carcinoma. Cancer1996;78:1820-1828
34
Lagergren J, Bergstrom R, Lindgren A, Nyren O. Symptomatic
gastroesophageal reflux as a risk factor for esophageal
adenocarcinoma. N Engl J Med 1999;
340: 825-831
35
Farrow DC, Vaughan TL, Sweeney C, Gammon MD, Chow WH, Risch
HA, Stanford JL, Hansten PD, Mayne ST,
Schoenberg JB, Rotterdam H, Ahsan H,
West AB, Dubrow R, Fraumeni JF Jr, Blot WJ. Gastroesophageal
reflux
disease, use of H2 receptor
antagonists, and risk of esophageal and gastric cancer. Cancer
Causes Control
2000; 11: 231-238
Edited
by Zhang
JZ and Wang XL
| |