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Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
All papers submitted to Gut and Liver are reviewed by the editorial team before being sent out for an external peer review to rule out papers that have low priority, insufficient originality, scientific flaws, or the absence of a message of importance to the readers of the Journal. A decision about these papers will usually be made within two or three weeks.
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Hee Jin Kim*, Nayoung Kim†, Hyuk Yoon†, Yoon Jin Choi†, Ju Yup Lee†, Yong Hwan Kwon†, Kichul Yoon†, Hyun Jin Jo†, Cheol Min Shin†, Young Soo Park†, Do Joong Park‡, Hyung Ho Kim‡, Hye Seung Lee§, and Dong Ho Lee†
Correspondence to: Nayoung Kim, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 463-707, Korea, Tel: +82-31-787-7008, Fax: +82-31-787-4051, E-mail: nayoungkim49@empas.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver 2016;10(2):212-219. https://doi.org/10.5009/gnl14416
Published online June 19, 2015, Published date March 15, 2016
Copyright © Gut and Liver.
Controversy exists regarding the characteristics of The prevalence of HPIN-GC was 4% (28/705). No significant differences with respect to age, sex, smoking, drinking, family history of gastric cancer or obesity were observed between the two groups. HPIN-GC tumors were marginally more likely to involve the cardia (14.3% for HPIN-GC vs 5.3% for HPIP-GC, p=0.068). The Lauren classification, histology, and TNM stage did not differ according to The prevalence of HPIN-GC was extremely low, and its clinicopathologic characteristics were similar to HPIP-GC.Background/Aims
Methods
Results
Conclusions
Keywords:
The prevalence of
Our research group determined the
In fact, gastric carcinogenesis is a complex and multifactorial process, in which infection with
Therefore, more comprehensive study is needed to determine the characteristics of HPIN-GC, considering environmental factors, genetic susceptibility factors and molecular factors as well
From this background, we analyzed the clinicopathologic and molecular characteristics of HPIN-GC compared to those of HPIP-GC after added more patients to our existing cohort and surveyed the data about smoking, drinking, obesity and family history of gastric cancer.
Between February 2006 and July 2014, 800 patients diagnosed as gastric cancer by endoscopic biopsy were prospectively enrolled at Seoul National University Bundang Hospital, South Korea. All patients were ethnically Koreans. Ninety-five patients who met the following criteria were excluded from this study: (1) patients who had not received endoscopic or surgical resection; (2) patients who had been lost from follow-up and had incomplete medical records; (3) patients who had not evaluated for serum PG. All patients provided informed consent, and this study protocol was approved by the Ethics Committee at Seoul National University Bundang Hospital (IRB number: B-1011/115-005).
In fasting serum collected from each patient, the concentrations of PG I and II were measured using a Latex-enhanced Turbidimetric Immunoassay (Shima Laboratories, Tokyo, Japan). Patients with PG I/II ratio ≤3.0 were regarded as the presence of atrophic gastritis.
Atrophic gastritis and intestinal metaplasia were determined by hematoxylin and eosin staining of the four biopsy specimens from each patient (one each from greater and lesser curvatures of antrum and body) for
Ten biopsy specimens were taken for three types of
To identify past
Because there was a high possibility of eliminating
Sections 4-μm thick were cut from each tissue array block and then deparaffinized and dehydrated. Immunohistochemical staining was performed using an automatic immunostainer (BenchMark® XT; Ventana Medical Systems Inc., Tucson, AZ, USA) according to the manufacturer’s instructions. The primary antibody used was mouse monoclonal antibody for p53 (DO7; Dako, Carpinteria, CA, USA). An antigen retrieval process was performed using microwave. Immunostaining 10% or more nuclear staining of tumor cells was considered positive.26
Tumor DNA was extracted from paraffin-embedded tissues of tumors from individual patients. Normal DNA was extracted from the surrounding normal tissue. Five microsatellite markers (BAT-25, BAT-26, D2S123, D5S346, and D17S250), recommended by a National Cancer Institute workshop on microsatellite instability (MSI), were used to analyze paired normal and tumor DNA.27 Polymerase chain reaction (PCR) was performed using a DNA auto-sequencer (ABI 3730 genetic analyzer; Applied Biosystems, Foster City, CA, USA). The shift of PCR products from tumor DNA was compared to that of DNA from normal mucosa. The size of each fluorescent PCR product was calculated using GeneMapper software (Applied Biosystems). According to the guideline of the National Cancer Institute, cases positive for ≥2 markers were considered as high-frequency MSI (MSI-H), while cases positive for <2 markers as low-frequency MSI (MSI-L) or microsatellite stable (MSS).27,28
Antiparietal cell antibody (APCA) was measured by indirect immunofluorescence on fixed tissue sections of mouse kidney stomach slide (KallestadTM; Bio-Rad Laboratories, Redmond, WA, USA).
Baseline characteristics of subjects including age, gender, cigarette smoking, alcohol intake and familial history of gastric cancer in first-degree relatives were obtained by the questionnaire under the supervision of a well-trained interviewer. The subjects were classified into never, past and current smoker or drinker according to their smoking and alcohol histories about previous 6 months. The subjects’ height and weight were checked or measured at the time of endoscopy in the endoscopy room, and the body mass index (BMI) was computed as weight in kilograms per square surface area in square meters (kg/m2). According to the International Obesity Task Force criteria for the Asia-Pacific population, BMI scores were classified as follows: normal (<23), overweight (≥23 and <25), and obese (≥25 and <30).29 The location, size, histologic features of the tumor, and TNM stage defined according to the seventh edition of AJCC Cancer Staging Manual were determined.30 In patients underwent surgical resection, T and N classification were assessed based on the final pathological result and M classification was determined by surgical findings or computed tomography (CT) results. In patients underwent endoscopic resection, T classification was assessed by the final pathologic results, N and M classification were determined by CT findings. Early gastric cancer was defined as a tumor that was confined to the mucosa or sub-mucosa regardless of lymph node (LN) involvement. Advanced gastric cancer was defined as a tumor that invaded the proper muscle or beyond.
To compare the clinicopathologic and molecular characteristics, Student t-test or chi-square test (Fisher exact test) was used for continuous variables and categorical variables, respectively. All analyses were carried out using the SPSS for Windows version 20.0 (SPSS Inc., Chicago, IL, USA). The results were considered statistically significant when p-values were less than 0.05.
A total of 705 patients with gastric cancer were enrolled during the study period. By the three biopsy-based tests, 445 patients were diagnosed with current
The clinical features between HPIP-GC group and HPIN-GC group were compared (Table 1). No statistical significant differences with regard to age, gender, familial history of gastric cancer in first-degree relatives, smoking status, alcohol status, and BMI categories were observed between two groups.
Table 2 showed the comparison of pathological characteristics between HPIP-GC group and HPIN-GC group. There were no statistical significant differences in tumor size, Lauren histotype and histologic type between HPIP-GC group and HPIN-GC group. We observed a higher frequency of cardia location in HPIN-GC group, but there was no significant difference (14.3% for HPIN-GC vs 5.3% for HPIP-GC, p=0.068). The depth of invasion was more advanced in HPIN-GC group (pT3-pT4, 32.1% for HPIN-GC vs 25.6% for HPIP-GC, p=0.611) without statistical significance. The proportion of lymph node metastasis in HPIN-GC group was more than that in HPIP-GC group, but there was no statistical significance (pN1-N3, 35.7% for HPIN-GC vs 31.2% for HPIP-GC, p=0.611). There was no significant difference in TNM stage although more advanced TNM stage was observed in HPIN-GC group compared with HPIP-GC group (stage II–IV, 39.9% for HPIN-GC vs 33.3% for HPIP-GC, p=0.973).
We examined p53 immunohistochemistry and PCR-based MSI testing in gastric cancer tissues. Some patients were excluded from this analysis because of incomplete of record or insufficient remaining tissue. MSI-H was more frequently observed in HPIN-GC group, but it was not significantly different (16.7% for HPIN-GC vs 8.3% for HPIP-GC, p=0.195) (Table 3). Positivity of p53 expression was more frequent in HPIN-GC group than HPIP-GC group without statistical significance (56.0% for HPIN-GC vs 37.0% for HPIP-GC, p=0.055) (Table 3).
APCAs were measured in the 30 patients with
There have been a few studies on the clinicopathologic features and prognosis of gastric cancer according to
In the present study, the presence of moderate/severe atrophy and intestinal metaplasia in histology and serologic atrophy (PG I/II ≤3.0) were regarded as possible past
Recently, Kwak
In the present study, HPIN-GC did not have different characteristics with regard to well-known independent risk factors of gastric cancer such as age, gender, and family history of gastric cancer. Smoking and alcohol status were not significantly different between two groups, and obesity was not significantly more common in HPIN-GC. No previous studies comparing the features of HPIN-GC and those of HPIP-GC have shown the data about obesity, smoking, drinking, and family history of gastric cancer yet. But we did not have data available regarding salty and nitrated food intake, further researches including dietary habit are needed to establish the impact of lifestyle factors on HPIN-GC.
In the literature, the advanced T and N stages,6,7,11,31 and histologically diffuse type8,12 were frequently reported in HPIN-GC but the results were not consistent among the studies. In addition, the negative
The genetic and epigenetic changes in oncogenes and tumor suppressor genes, cell cycle regulators, and DNA repair genes have known to contribute to gastric carcinogenesis.33 Recent molecular biological studies have revealed that there are at least two distinct genetic pathways for gastrointestinal carcinogenesis, the suppressor and mutator pathways.34 Mutator pathway, characterized by MSI, is suggested to play an important role in the tumorigenesis of the foveolar type, whereas the suppressor pathway, represented by p53 alteration, could participate in the tumorigenesis of complete-type intestinal metaplastic phenotype gastric adenocarcinomas.34 MSI is defined as length changes of microsatellites, which are repeating sequences of 1–6 base pairs of DNA and caused by an impairment of DNA mismatch repair system.33 The frequency of MSI in gastric cancer has been reported from 9.5% to 44% and some studies have shown associations between MSI-H in gastric cancer and intestinal type, older age, distal location, lower prevalence of LN metastasis, and better prognosis.33 Though the number of cases with HPIN-GC was limited in the present study, the proportion of MSI-H was not significantly different between HPIN-GC and HPIP-GC.
The alteration or inactivation of p53 tumor suppressor gene, which is the most frequently mutated gene in human cancers, allows a cell with damaged DNA to escape from normal growth, resulting in cancer development.33,35 The positivity rate of p53 expression in gastric cancer has been reported to range from 4% to 71%, and the association with intestinal-type gastric cancer,26,36,37 higher frequency of cardia cancer38,39 and poor prognosis40 has also been reported. Recent
We considered atrophy and intestinal metaplasia as a result of long-standing
Gastric cancer could develop in the hereditary diffuse gastric cancer, irrespective of
Our study has several limitations. Although we used the combination of multiple diagnostic methods to minimize the possibility of false-negative
In this study, we showed that gastric cancers that are not associated with
This work was supported by the National Research Foundation of Korea (NRF) grant for the Global Core Research Center (GCRC) funded by the Korea government (MSIP) (number: 2011-0030001). No author has any conflict of interest or financial arrangements that could potentially influence the described research.
Clinical Characteristics of the 705 Patients with Gastric Cancer according to the Final
Clinical analysis, total | p-value | ||
---|---|---|---|
Male sex | 452 (66.8) | 18 (64.3) | 0.785 |
Age, yr | 59.3±12.0 | 56.0±13.6 | 0.161 |
Smoker | 0.941 | ||
Never* | 244 (36.1) | 11 (39.3) | |
Past | 283 (41.9) | 11 (39.3) | |
Current | 148 (21.9) | 6 (21.4) | |
Drinker* | 0.688 | ||
Never | 190 (28.2) | 10 (35.7) | |
Past | 107 (15.9) | 4 (14.3) | |
Current | 377 (55.9) | 14 (50.0) | |
BMI, kg/m2 | 0.589 | ||
<23 | 312 (46.1) | 14 (50.0) | |
≥23 or <25 | 179 (26.4) | 5 (17.9) | |
≥25 | 186 (27.5) | 9 (32.1) | |
Family history of gastric cancer | 139 (20.7) | 5 (17.9) | 0.717 |
Serum PG test | |||
PG I, ng/mL | 67.2±50.7 | 66.6±35.9 | 0.949 |
PG II, ng/mL | 25.6±28.8 | 11.8±5.5 | <0.001† |
PG I/II ratio | 3.2±2.1 | 5.7±1.7 | <0.001† |
Treatment modalities | 0.340 | ||
ESD | 111 (16.4) | 7 (25.0) | |
Curative surgery | 555 (82.0) | 20 (71.4) | |
Palliative surgery | 11 (1.6) | 1 (3.6) |
Data are presented as mean±SD or number (%).
BMI, body mass index; PG, pepsinogen; ESD, endoscopic submucosal dissection.
†Indicate statistical significance.
Pathologic Characteristics of the 705 Patients with Gastric Cancer according to the Final
Clinical analysis, total | p-value | ||
---|---|---|---|
Lauren histotype | 0.522 | ||
Intestinal | 380 (56.1) | 14 (50.0) | |
Diffuse or mixed | 297 (43.9) | 14 (50.0) | |
Histologic type | 0.937 | ||
Tubular ADC, W/D | 130 (19.2) | 5 (17.9) | |
Tubular ADC, M/D | 229 (33.8) | 9 (32.1) | |
Tubular ADC, P/D | 180 (26.6) | 9 (32.1) | |
Signet ring cell carcinoma | 116 (17.1) | 5 (17.9) | |
Mucinous adenocarcinoma | 13 (1.9) | 0 | |
Others* | 9 (1.3) | 0 | |
Tumor location | 0.068 | ||
Cardia† | 36 (5.3) | 4 (14.3) | |
Noncardia | 641 (94.7) | 24 (85.7) | |
Tumor size, cm | 3.7±3.0 | 3.3±2.1 | 0.633 |
Depth of invasion | 0.435 | ||
pT1–T2 | 504 (74.4) | 19 (67.9) | |
pT3–T4 | 173 (25.6) | 9 (32.1) | |
Lymph node metastases | 0.611 | ||
pN0 | 466 (68.8) | 18 (64.3) | |
pN1–N3 | 211 (31.2) | 10 (35.7) | |
Distant metastases | 1.000 | ||
Absent | 650 (96.0) | 27 (96.4) | |
Present | 27 (4.0) | 1 (3.6) | |
TNM stage | 0.539 | ||
I | 449 (66.3) | 17 (60.7) | |
II, III, IV | 228 (33.7) | 11 (39.3) |
Data are presented as mean±SD or number (%).
ADC, adenocarcinoma; W/D, well differentiated; M/D, moderately differentiated; P/D, poorly differentiated.
†Located within 2 cm below the gastro-esophageal junction.
Molecular Characteristics of the Gastric Cancer Patients according to the Final
Characteristic | p-value | ||
---|---|---|---|
MSI | 0.195 | ||
MSI-high | 41 (8.3) | 3 (16.7) | |
MSI-low/MSS | 453 (91.7) | 15 (83.3) | |
Total | 494 (100.0) | 18 (100.0) | |
p53 | 0.055 | ||
Positive | 240 (37.0) | 14 (56.0) | |
Negative | 408 (63.0) | 11 (44.0) | |
Total | 648 (100.0) | 25 (100.0) |
Data are presented as number (%).
MSI, microsatellite instability; MSS, microsatellite stable.
Gut and Liver 2016; 10(2): 212-219
Published online March 15, 2016 https://doi.org/10.5009/gnl14416
Copyright © Gut and Liver.
Hee Jin Kim*, Nayoung Kim†, Hyuk Yoon†, Yoon Jin Choi†, Ju Yup Lee†, Yong Hwan Kwon†, Kichul Yoon†, Hyun Jin Jo†, Cheol Min Shin†, Young Soo Park†, Do Joong Park‡, Hyung Ho Kim‡, Hye Seung Lee§, and Dong Ho Lee†
*Department of Internal Medicine, Myongji Hospital, Goyang, Korea, †Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea, ‡Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea, §Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Korea
Correspondence to: Nayoung Kim, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173beon-gil, Bundang-gu, Seongnam 463-707, Korea, Tel: +82-31-787-7008, Fax: +82-31-787-4051, E-mail: nayoungkim49@empas.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Controversy exists regarding the characteristics of The prevalence of HPIN-GC was 4% (28/705). No significant differences with respect to age, sex, smoking, drinking, family history of gastric cancer or obesity were observed between the two groups. HPIN-GC tumors were marginally more likely to involve the cardia (14.3% for HPIN-GC vs 5.3% for HPIP-GC, p=0.068). The Lauren classification, histology, and TNM stage did not differ according to The prevalence of HPIN-GC was extremely low, and its clinicopathologic characteristics were similar to HPIP-GC.Background/Aims
Methods
Results
Conclusions
Keywords:
The prevalence of
Our research group determined the
In fact, gastric carcinogenesis is a complex and multifactorial process, in which infection with
Therefore, more comprehensive study is needed to determine the characteristics of HPIN-GC, considering environmental factors, genetic susceptibility factors and molecular factors as well
From this background, we analyzed the clinicopathologic and molecular characteristics of HPIN-GC compared to those of HPIP-GC after added more patients to our existing cohort and surveyed the data about smoking, drinking, obesity and family history of gastric cancer.
Between February 2006 and July 2014, 800 patients diagnosed as gastric cancer by endoscopic biopsy were prospectively enrolled at Seoul National University Bundang Hospital, South Korea. All patients were ethnically Koreans. Ninety-five patients who met the following criteria were excluded from this study: (1) patients who had not received endoscopic or surgical resection; (2) patients who had been lost from follow-up and had incomplete medical records; (3) patients who had not evaluated for serum PG. All patients provided informed consent, and this study protocol was approved by the Ethics Committee at Seoul National University Bundang Hospital (IRB number: B-1011/115-005).
In fasting serum collected from each patient, the concentrations of PG I and II were measured using a Latex-enhanced Turbidimetric Immunoassay (Shima Laboratories, Tokyo, Japan). Patients with PG I/II ratio ≤3.0 were regarded as the presence of atrophic gastritis.
Atrophic gastritis and intestinal metaplasia were determined by hematoxylin and eosin staining of the four biopsy specimens from each patient (one each from greater and lesser curvatures of antrum and body) for
Ten biopsy specimens were taken for three types of
To identify past
Because there was a high possibility of eliminating
Sections 4-μm thick were cut from each tissue array block and then deparaffinized and dehydrated. Immunohistochemical staining was performed using an automatic immunostainer (BenchMark® XT; Ventana Medical Systems Inc., Tucson, AZ, USA) according to the manufacturer’s instructions. The primary antibody used was mouse monoclonal antibody for p53 (DO7; Dako, Carpinteria, CA, USA). An antigen retrieval process was performed using microwave. Immunostaining 10% or more nuclear staining of tumor cells was considered positive.26
Tumor DNA was extracted from paraffin-embedded tissues of tumors from individual patients. Normal DNA was extracted from the surrounding normal tissue. Five microsatellite markers (BAT-25, BAT-26, D2S123, D5S346, and D17S250), recommended by a National Cancer Institute workshop on microsatellite instability (MSI), were used to analyze paired normal and tumor DNA.27 Polymerase chain reaction (PCR) was performed using a DNA auto-sequencer (ABI 3730 genetic analyzer; Applied Biosystems, Foster City, CA, USA). The shift of PCR products from tumor DNA was compared to that of DNA from normal mucosa. The size of each fluorescent PCR product was calculated using GeneMapper software (Applied Biosystems). According to the guideline of the National Cancer Institute, cases positive for ≥2 markers were considered as high-frequency MSI (MSI-H), while cases positive for <2 markers as low-frequency MSI (MSI-L) or microsatellite stable (MSS).27,28
Antiparietal cell antibody (APCA) was measured by indirect immunofluorescence on fixed tissue sections of mouse kidney stomach slide (KallestadTM; Bio-Rad Laboratories, Redmond, WA, USA).
Baseline characteristics of subjects including age, gender, cigarette smoking, alcohol intake and familial history of gastric cancer in first-degree relatives were obtained by the questionnaire under the supervision of a well-trained interviewer. The subjects were classified into never, past and current smoker or drinker according to their smoking and alcohol histories about previous 6 months. The subjects’ height and weight were checked or measured at the time of endoscopy in the endoscopy room, and the body mass index (BMI) was computed as weight in kilograms per square surface area in square meters (kg/m2). According to the International Obesity Task Force criteria for the Asia-Pacific population, BMI scores were classified as follows: normal (<23), overweight (≥23 and <25), and obese (≥25 and <30).29 The location, size, histologic features of the tumor, and TNM stage defined according to the seventh edition of AJCC Cancer Staging Manual were determined.30 In patients underwent surgical resection, T and N classification were assessed based on the final pathological result and M classification was determined by surgical findings or computed tomography (CT) results. In patients underwent endoscopic resection, T classification was assessed by the final pathologic results, N and M classification were determined by CT findings. Early gastric cancer was defined as a tumor that was confined to the mucosa or sub-mucosa regardless of lymph node (LN) involvement. Advanced gastric cancer was defined as a tumor that invaded the proper muscle or beyond.
To compare the clinicopathologic and molecular characteristics, Student t-test or chi-square test (Fisher exact test) was used for continuous variables and categorical variables, respectively. All analyses were carried out using the SPSS for Windows version 20.0 (SPSS Inc., Chicago, IL, USA). The results were considered statistically significant when p-values were less than 0.05.
A total of 705 patients with gastric cancer were enrolled during the study period. By the three biopsy-based tests, 445 patients were diagnosed with current
The clinical features between HPIP-GC group and HPIN-GC group were compared (Table 1). No statistical significant differences with regard to age, gender, familial history of gastric cancer in first-degree relatives, smoking status, alcohol status, and BMI categories were observed between two groups.
Table 2 showed the comparison of pathological characteristics between HPIP-GC group and HPIN-GC group. There were no statistical significant differences in tumor size, Lauren histotype and histologic type between HPIP-GC group and HPIN-GC group. We observed a higher frequency of cardia location in HPIN-GC group, but there was no significant difference (14.3% for HPIN-GC vs 5.3% for HPIP-GC, p=0.068). The depth of invasion was more advanced in HPIN-GC group (pT3-pT4, 32.1% for HPIN-GC vs 25.6% for HPIP-GC, p=0.611) without statistical significance. The proportion of lymph node metastasis in HPIN-GC group was more than that in HPIP-GC group, but there was no statistical significance (pN1-N3, 35.7% for HPIN-GC vs 31.2% for HPIP-GC, p=0.611). There was no significant difference in TNM stage although more advanced TNM stage was observed in HPIN-GC group compared with HPIP-GC group (stage II–IV, 39.9% for HPIN-GC vs 33.3% for HPIP-GC, p=0.973).
We examined p53 immunohistochemistry and PCR-based MSI testing in gastric cancer tissues. Some patients were excluded from this analysis because of incomplete of record or insufficient remaining tissue. MSI-H was more frequently observed in HPIN-GC group, but it was not significantly different (16.7% for HPIN-GC vs 8.3% for HPIP-GC, p=0.195) (Table 3). Positivity of p53 expression was more frequent in HPIN-GC group than HPIP-GC group without statistical significance (56.0% for HPIN-GC vs 37.0% for HPIP-GC, p=0.055) (Table 3).
APCAs were measured in the 30 patients with
There have been a few studies on the clinicopathologic features and prognosis of gastric cancer according to
In the present study, the presence of moderate/severe atrophy and intestinal metaplasia in histology and serologic atrophy (PG I/II ≤3.0) were regarded as possible past
Recently, Kwak
In the present study, HPIN-GC did not have different characteristics with regard to well-known independent risk factors of gastric cancer such as age, gender, and family history of gastric cancer. Smoking and alcohol status were not significantly different between two groups, and obesity was not significantly more common in HPIN-GC. No previous studies comparing the features of HPIN-GC and those of HPIP-GC have shown the data about obesity, smoking, drinking, and family history of gastric cancer yet. But we did not have data available regarding salty and nitrated food intake, further researches including dietary habit are needed to establish the impact of lifestyle factors on HPIN-GC.
In the literature, the advanced T and N stages,6,7,11,31 and histologically diffuse type8,12 were frequently reported in HPIN-GC but the results were not consistent among the studies. In addition, the negative
The genetic and epigenetic changes in oncogenes and tumor suppressor genes, cell cycle regulators, and DNA repair genes have known to contribute to gastric carcinogenesis.33 Recent molecular biological studies have revealed that there are at least two distinct genetic pathways for gastrointestinal carcinogenesis, the suppressor and mutator pathways.34 Mutator pathway, characterized by MSI, is suggested to play an important role in the tumorigenesis of the foveolar type, whereas the suppressor pathway, represented by p53 alteration, could participate in the tumorigenesis of complete-type intestinal metaplastic phenotype gastric adenocarcinomas.34 MSI is defined as length changes of microsatellites, which are repeating sequences of 1–6 base pairs of DNA and caused by an impairment of DNA mismatch repair system.33 The frequency of MSI in gastric cancer has been reported from 9.5% to 44% and some studies have shown associations between MSI-H in gastric cancer and intestinal type, older age, distal location, lower prevalence of LN metastasis, and better prognosis.33 Though the number of cases with HPIN-GC was limited in the present study, the proportion of MSI-H was not significantly different between HPIN-GC and HPIP-GC.
The alteration or inactivation of p53 tumor suppressor gene, which is the most frequently mutated gene in human cancers, allows a cell with damaged DNA to escape from normal growth, resulting in cancer development.33,35 The positivity rate of p53 expression in gastric cancer has been reported to range from 4% to 71%, and the association with intestinal-type gastric cancer,26,36,37 higher frequency of cardia cancer38,39 and poor prognosis40 has also been reported. Recent
We considered atrophy and intestinal metaplasia as a result of long-standing
Gastric cancer could develop in the hereditary diffuse gastric cancer, irrespective of
Our study has several limitations. Although we used the combination of multiple diagnostic methods to minimize the possibility of false-negative
In this study, we showed that gastric cancers that are not associated with
This work was supported by the National Research Foundation of Korea (NRF) grant for the Global Core Research Center (GCRC) funded by the Korea government (MSIP) (number: 2011-0030001). No author has any conflict of interest or financial arrangements that could potentially influence the described research.
Table 1 Clinical Characteristics of the 705 Patients with Gastric Cancer according to the Final
Clinical analysis, total | p-value | ||
---|---|---|---|
Male sex | 452 (66.8) | 18 (64.3) | 0.785 |
Age, yr | 59.3±12.0 | 56.0±13.6 | 0.161 |
Smoker | 0.941 | ||
Never* | 244 (36.1) | 11 (39.3) | |
Past | 283 (41.9) | 11 (39.3) | |
Current | 148 (21.9) | 6 (21.4) | |
Drinker* | 0.688 | ||
Never | 190 (28.2) | 10 (35.7) | |
Past | 107 (15.9) | 4 (14.3) | |
Current | 377 (55.9) | 14 (50.0) | |
BMI, kg/m2 | 0.589 | ||
<23 | 312 (46.1) | 14 (50.0) | |
≥23 or <25 | 179 (26.4) | 5 (17.9) | |
≥25 | 186 (27.5) | 9 (32.1) | |
Family history of gastric cancer | 139 (20.7) | 5 (17.9) | 0.717 |
Serum PG test | |||
PG I, ng/mL | 67.2±50.7 | 66.6±35.9 | 0.949 |
PG II, ng/mL | 25.6±28.8 | 11.8±5.5 | <0.001† |
PG I/II ratio | 3.2±2.1 | 5.7±1.7 | <0.001† |
Treatment modalities | 0.340 | ||
ESD | 111 (16.4) | 7 (25.0) | |
Curative surgery | 555 (82.0) | 20 (71.4) | |
Palliative surgery | 11 (1.6) | 1 (3.6) |
Data are presented as mean±SD or number (%).
BMI, body mass index; PG, pepsinogen; ESD, endoscopic submucosal dissection.
†Indicate statistical significance.
Table 2 Pathologic Characteristics of the 705 Patients with Gastric Cancer according to the Final
Clinical analysis, total | p-value | ||
---|---|---|---|
Lauren histotype | 0.522 | ||
Intestinal | 380 (56.1) | 14 (50.0) | |
Diffuse or mixed | 297 (43.9) | 14 (50.0) | |
Histologic type | 0.937 | ||
Tubular ADC, W/D | 130 (19.2) | 5 (17.9) | |
Tubular ADC, M/D | 229 (33.8) | 9 (32.1) | |
Tubular ADC, P/D | 180 (26.6) | 9 (32.1) | |
Signet ring cell carcinoma | 116 (17.1) | 5 (17.9) | |
Mucinous adenocarcinoma | 13 (1.9) | 0 | |
Others* | 9 (1.3) | 0 | |
Tumor location | 0.068 | ||
Cardia† | 36 (5.3) | 4 (14.3) | |
Noncardia | 641 (94.7) | 24 (85.7) | |
Tumor size, cm | 3.7±3.0 | 3.3±2.1 | 0.633 |
Depth of invasion | 0.435 | ||
pT1–T2 | 504 (74.4) | 19 (67.9) | |
pT3–T4 | 173 (25.6) | 9 (32.1) | |
Lymph node metastases | 0.611 | ||
pN0 | 466 (68.8) | 18 (64.3) | |
pN1–N3 | 211 (31.2) | 10 (35.7) | |
Distant metastases | 1.000 | ||
Absent | 650 (96.0) | 27 (96.4) | |
Present | 27 (4.0) | 1 (3.6) | |
TNM stage | 0.539 | ||
I | 449 (66.3) | 17 (60.7) | |
II, III, IV | 228 (33.7) | 11 (39.3) |
Data are presented as mean±SD or number (%).
ADC, adenocarcinoma; W/D, well differentiated; M/D, moderately differentiated; P/D, poorly differentiated.
†Located within 2 cm below the gastro-esophageal junction.
Table 3 Molecular Characteristics of the Gastric Cancer Patients according to the Final
Characteristic | p-value | ||
---|---|---|---|
MSI | 0.195 | ||
MSI-high | 41 (8.3) | 3 (16.7) | |
MSI-low/MSS | 453 (91.7) | 15 (83.3) | |
Total | 494 (100.0) | 18 (100.0) | |
p53 | 0.055 | ||
Positive | 240 (37.0) | 14 (56.0) | |
Negative | 408 (63.0) | 11 (44.0) | |
Total | 648 (100.0) | 25 (100.0) |
Data are presented as number (%).
MSI, microsatellite instability; MSS, microsatellite stable.