Literature DB >> 29033591

Clinicopathological features and prognoses in younger and older patients with gastric cancer.

Shubin Song1, Chunfeng Li1, Sen Li1, Xiliang Cong1, Yingwei Xue1.   

Abstract

BACKGROUND AND OBJECTIVES: Patients of different ages with gastric cancer (GC) have different clinicopathological features and prognoses. The results for different crowds are limited and controversial. The aim of this study was to investigate the differences in clinicopathological features and prognoses between younger and older GC patients.
METHODS: From January 2007 to December 2011, a consecutive total of 112 GC patients under 41 years old and 358 GC patients over 69 years old who underwent gastrectomy for GC were recruited for this study. Then, the clinicopathological features and prognoses of these patients were analyzed comparatively.
RESULTS: The gender, differentiation, carbohydrate antigen (CA) 19-9 and carcinoembryonic antigen (CEA) were significantly different between younger and older GC patients. There were more female and undifferentiated younger GC patients, and there were higher percentages of positive CA19-9 and CEA in older GC patients. The number of metastatic lymph nodes was an independent risk parameter for prognosis in younger patients, and the AJCC TNM (Tumor-Nodes-Metastases classification by American Joint Committee on Cancer) stage, radicality and tumor size were independent risk parameters for prognosis in older GC patients. Younger GC patients have a much better prognoses with lower monocyte-to-lymphocyte ratio and higher prognostic nutritional index than older patients.
CONCLUSIONS: Younger GC patients have better immunity and nutritional status and better prognoses. The number of metastatic lymph nodes was the only risk parameter for prognosis in younger GC patients. We should take more effective treatments for younger GC patients with lymph nodes metastasis and pay more attention to the nutritional problems of older GC patients.

Entities:  

Keywords:  age; clinicopathological feature; gastric cancer; prognosis

Year:  2017        PMID: 29033591      PMCID: PMC5628679          DOI: 10.2147/OTT.S144801

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Gastric cancer (GC) is a widespread malignant tumor around the world with a high incidence.1 Although we have made great progress in the treatment of GC, the prognosis after surgery still remains pessimistic. One important cause of the poor prognosis for GC patients is that most of them are diagnosed at an advanced stage with diffused filtration and lymph node metastasis, because there are no distinctive symptoms in early stage.2,3 The age of GC patients is commonly 50–70 years, and the average onset age is ~60 years.4,5 However, younger (≤40 years) and older (≥70 years) GC patients still make up a biggish proportion of the total GC population.6,7 Age is an important factor affecting survival in patients with cancer,8 and there have been many reports suggesting that young GC patients tend to have a better prognosis than middle-aged patients;5,6 however, the differences in both prognosis and clinicopathological features between younger and older patients still remain to be further discussed. Because of these factors, we retrospectively studied 112 younger GC patients and 358 older GC patients who accepted gastrectomy in our hospital, and we aimed to compare the differences in clinicopathological features and prognoses between younger and older GC patients. Recently, studies have shown that preoperative inflammatory responses and nutritional status both play important roles in tumori-genesis, progression and prognosis in various cancers.9,10 The monocyte-to-lymphocyte ratio (MLR), a biomarker connected to a systemic inflammatory response, can reveal the immunity that hosts owned to show resistance to tumors.11 We, therefore, analyzed the biomarker MLR and prognostic nutritional index (PNI) to compare the immunity and nutritional status of younger and older GC patients.

Patients and methods

Patients and data

The study was carried out at the Harbin Medical University Cancer Hospital. From January 2007 to December 2011, a consecutive total of 1,990 patients with 112 GC patients under 41 years old and 358 GC patients over 69 years old who underwent gastrectomies for GC were recruited for this study. The age composition of these patients is shown in Figure 1. The inclusion criteria were as follows: all of the patients 1) had preoperative gastroscopies and pathological diagnoses of GC; 2) never received neoadjuvant chemotherapies, radiotherapies or other anticancer treatments; 3) underwent total or subtotal gastrectomies and radical surgery (R0) patients underwent D2+ lymph nodes resection, while R1 and R2 patients underwent regional lymph nodes resection. The stagings were based on the 7th edition of the TNM classification (for the “Tumor-Nodes-Metastases” system) by the Union for International Cancer Control/American Joint Committee on Cancer (UICC/AJCC).12 Every patient was followed up regularly from the time of surgery until June 2016 or death (in the first two postoperative years it was every 3 months and in the following several years it was at 6-month intervals). This research had the support and approval of the Medical Ethics Committee of the Harbin Medical University Cancer Hospital, and all patients signed the informed consent for the use of their data for future study.
Figure 1

Age composition of 1,990 GC patients.

Abbreviation: GC, gastric cancer.

We recorded the age, gender, tumor depth (T), number of metastatic lymph nodes (N), distant metastasis (M), AJCC TNM stage, radicality, tumor size, tumor location, metastasis lymph node rate (MLNR), differentiation, ascites, carbohydrate antigen (CA) 19–9 (U/mL), carcinoembryonic antigen (CEA) (ng/mL), hemoglobin (Hb) (g/L), albumin count (g/L), lymphocyte count (109/L) and monocyte count (109/L). The average MLNR was 31.5%. CA19–9 exceeding 37 U/mL, CEA exceeding 5 ng/mL and Hb <131 g/L were identified as positive. MLR was calculated as the monocyte count/lymphocyte count.9 PNI was calculated as the albumin count + lymphocyte count ×5.10

Statistical analysis

A chi-squared test was used to assess the significant differences in the clinicopathological features between younger and older GC patients. Survival curves were calculated with a Kaplan–Meier survival analysis, and the equivalences of survival curves were analyzed by using a log-rank test. Multivariate analyses were evaluated by the Cox proportional hazards model. A Student’s t-test was used to compare the MLR, PNI, lymphocyte, monocyte and albumin between younger and older patients. A P<0.05 was considered to be statistically significant. Data analysis was performed using SPSS 17.0.

Results

The clinicopathological features of 112 younger GC patients and 358 older GC patients are shown in Table 1. There were more women in the younger GC patient group than in the older GC patient group (47.3% vs 23.5%, P<0.001). The proportion of undifferentiated adenocarcinomas in younger GC patients was significantly higher than that in older GC patients (94.6% vs 76.8%, P<0.001). The positive rates of CA19–9 and CEA in younger GC patients were significantly lower than those in older GC patients (14.3% vs 24.0%, 9.8% vs 25.1%, Pall<0.05). However, for other features, such as tumor depth, number of metastatic lymph nodes, distant metastasis, AJCC TNM stage, surgical radicality, tumor size, tumor location, MLNR, ascites and Hb, there were no significant differences between younger and older GC patients.
Table 1

Clinicopathological features of younger and older GC patients

FactorsYounger(n=112)Older(n=358)χ2P-value
Gender23.512<0.001
 Male59 (52.7)274 (76.5)
 Female53 (47.3)84 (23.5)
Tumor depth0.7570.86
 T17 (6.3)17 (4.7)
 T26 (5.3)25 (7.0)
 T333 (29.5)102 (28.5)
 T466 (58.9)214 (59.8)
Lymph nodes6.1530.104
 N020 (17.9)93 (26.0)
 N127 (24.1)61 (17.0)
 N224 (21.4)93 (26.0)
 N341 (36.6)111 (31.0)
Distant metastasis2.420.085
 M094 (83.9)320 (89.4)
 M118 (16.1)38 (10.6)
AJCC stage3.4630.326
 I5 (4.5)25 (7.0)
 II30 (26.8)89 (24.9)
 III59 (52.7)206 (57.5)
 IV18 (16.0)38 (10.6)
Radicality0.4660.495
 R085 (75.9)260 (72.6)
 R1 or R227 (24.1)98 (27.4)
Tumor size (cm)0.6870.407
 ≤670 (62.5)239 (66.8)
 >642 (37.5)119 (33.2)
Tumor location6.3650.095
 Upper12 (10.7)61 (17.0)
 Middle21 (18.8)64 (17.9)
 Low64 (57.1)208 (58.1)
 Whole15 (13.4)25 (7.0)
MLNR0.0220.912
 ≤31.5%67 (59.8)217 (60.6)
 >31.5%45 (40.2)141 (39.4)
Differentiationa17.662<0.001
 Differentiated6 (5.4)83 (23.2)
 Undifferentiated106 (94.6)275 (76.8)
Ascites2.3380.156
 No105 (93.8)347 (96.9)
 Yes7 (6.2)11 (3.1)
CA19–9 (U/mL)4.760.029
 Negative96 (85.7)272 (76.0)
 Positive16 (14.3)86 (24.0)
CEA (ng/mL)11.8650.001
 Negative101 (90.2)268 (74.9)
 Positive11 (9.8)90 (25.1)
Hb (g/L)1.610.204
 Positive60 (53.6)216 (60.3)
 Negative52 (46.4)142 (39.7)

Note:

Grades 1 and 2 were differentiated, and grades 3 and 4 were undifferentiated.

Abbreviations: AJCC, American Joint Committee on Cancer; CA, carbohydrate antigen; CEA, carcinoembryonic antigen; GC, gastric cancer; Hb, hemoglobin; MLNR, metastasis lymph node rate.

In the Kaplan–Meier survival analyses, the overall survival times of the 112 younger GC patients were much better than those of the 358 older GC patients (Figure 2, P<0.001). Younger patients had a much better prognosis than older patients in the stages II (P=0.013) and III (P<0.001), but this was not the case in the stages I (P=0.207) and IV (P=0.069).
Figure 2

Comparison of overall survival between younger and older gastric cancer patients.

Abbreviation: Cum, cumulative.

We used univariate and multivariate analyses to assess the risk parameters for prognoses in the 470 GC patients (Table 2). The results showed that the age, tumor depth, number of metastatic lymph nodes, distant metastasis, AJCC TNM stage, surgical radicality, tumor size, MLNR, CA19–9 and CEA were all significantly associated with the prognosis in univariate analyses. However, in the multivariate analysis, only age, number of metastatic lymph nodes, AJCC TNM stage, surgical radicality and tumor size were independent risk parameters. Then, we independently analyzed the risk parameters for the prognosis in the 112 younger patients and 358 older patients. In the 112 younger patients, tumor depth, number of metastatic lymph nodes, distant metastasis, AJCC TNM stage, radicality, tumor size and MLNR were all associated with overall survival in univariate analyses, but only the number of metastatic lymph nodes was an independent risk parameter for overall survival (Table 3). In the 358 older GC patients, tumor depth, number of metastatic lymph nodes, distant metastasis, AJCC TNM stage, radicality, tumor size, MLNR, differentiation, ascites, CA19–9 and Hb were associated with overall survival in univariate analyses, and only the AJCC TNM stage, surgical radicality and tumor size were independent risk parameters for overall survival (Table 4).
Table 2

Survival analysis of the 470 younger and older GC patients

ParameterUnivariate analysis
Multivariate analysis
βHR (95% CI)P-valueβHR (95% CI)P-value
Age (younger/older)0.5131.671 (1.296–2.153)<0.0010.5981.818 (1.383–2.391)<0.001
Gender (male/female)−0.1700.843 (0.675–1.054)0.134−0.0200.980 (0.766–1.255)0.876
Tumor depth (T1/T2/T3/T4)0.3721.451 (1.282–1.643)<0.001−0.0210.979 (0.810–1.183)0.825
Lymph nodes (N0/N1/N2/N3)0.4951.640 (1.493–1.801)<0.0010.2131.237 (1.029–1.4870)0.024
Distant metastasis (M0/M1)1.4924.447 (3.216–6.150)<0.0010.4581.581 (0.930–2.689)0.091
AJCC stage (I/II/III/IV)0.9152.497 (2.131–2.927)<0.0010.3941.483 (1.032–2.131)0.033
Radicality (R0/R1 or R2)1.1793.252 (2.564–4.126)<0.0010.4841.622 (1.211–2.174)0.001
Tumor size (≤6 cm/>6 cm)0.7942.212 (1.786–2.740)<0.0010.4521.572 (1.237–1.999)<0.001
Tumor location (upper/middle/low/whole)−0.0520.950 (0.836–1.078)0.424−0.0470.954 (0.843–1.081)0.461
MLNR (≤31.5%/>31.5%)1.0492.856 (2.298–3.549)<0.0010.3041.355 (0.978–1.877)0.068
Differentiation (differentiated/undifferentiated)0.1771.194 (0.935–1.524)0.1560.0121.012 (0.780–1.314)0.929
Ascites (no/yes)0.3821.466 (0.857–2.506)0.162−0.2190.803 (0.451–1.430)0.456
CA19–9 (negative/positive)0.3641.439 (1.136–1.823)0.003−0.0070.993 (0.771–1.279)0.958
CEA (negative/positive)0.3461.423 (1.114–1.792)0.0040.1251.133 (0.877–1.462)0.339
Hb (≤130/>130) (g/L)−0.1680.846 (0.691–1.035)0.104−0.1560.855 (0.687–1.065)0.163

Abbreviations: AJCC, American Joint Committee on Cancer; CA, carbohydrate antigen; CEA, carcinoembryonic antigen; CI, confidence interval; GC, gastric cancer; Hb, hemoglobin; HR, hazards ratio; MLNR, metastasis lymph node rate.

Table 3

Survival analysis of the 112 younger GC patients

ParameterUnivariate analysis
Multivariate analysis
βHR (95% CI)P-valueβHR (95% CI)P-value
Gender (male/female)−0.1920.825 (0.521–1.307)0.41301.000 (0.573–1.746)0.999
Tumor depth (T1/T2/T3/T4)0.4151.514 (1.142–2.008)0.0040.2871.333 (0.820–2.165)0.246
Lymph nodes (N0/N1/N2/N3)0.6361.890 (1.465–2.438)<0.0010.5361.710 (1.007–2.903)0.047
Distant metastasis (M0/M1)1.5244.590 (2.266–9.297)<0.0011.1193.063 (0.632–14.836)0.164
AJCC stage (I/II/III/IV)0.9662.629 (1.799–3.842)<0.001−0.1980.821 (0.278–2.421)0.720
Radicality (R0/R1 or R2)1.5024.492 (2.364–8.538)<0.0010.5971.816 (0.683–4.830)0.232
Tumor size (≤6 cm/>6 cm)0.7252.065 (1.266–3.367)0.0040.4151.515 (0.838–2.740)0.169
Tumor location (upper/middle/low/whole)0.0101.010 (0.727–1.403)0.952−0.1290.879 (0.629–1.228)0.450
MLNR (≤31.5%/>31.5%)1.1633.199 (1.941–5.274)<0.0010.1541.166 (0.507–2.680)0.718
Differentiation (differentiated/undifferentiated)0.2441.276 (0.464–3.508)0.637−0.0520.950 (0.286–3.148)0.933
Ascites (no/yes)0.1461.157 (0.415–3.231)0.780−1.0880.337 (0.071–1.608)0.173
CA19–9 (negative/positive)0.1401.150 (0.601–2.200)0.6730.0351.036 (0.496–2.162)0.926
CEA (negative/positive)0.6111.843 (0.938–3.622)0.0760.6281.873 (0.680–5.164)0.225
Hb (negative/positive)0.4441.558 (0.964–2.518)0.0700.3641.439 (0.829–2.497)0.196

Abbreviations: AJCC, American Joint Committee on Cancer; CA, carbohydrate antigen; CEA, carcinoembryonic antigen; CI, confidence interval; GC, gastric cancer; Hb, hemoglobin; HR, hazards ratio; MLNR, metastasis lymph node rate.

Table 4

Survival analysis of the 358 older GC patients

ParameterUnivariate analysis
Multivariate analysis
βHR (95% CI)P-valueβHR (95% CI)P-value
Gender (male/female)−0.0030.997 (0.767–1.295)0.9800.0311.032 (0.780–1.365)0.826
Tumor depth (T1/T2/T3/T4)0.3601.433 (1.247–1.648)<0.001−0.1100.896 (0.722–1.112)0.319
Lymph nodes (N0/N1/N2/N3)0.4921.635 (1.479–1.807)<0.0010.1691.185 (0.965–1.453)0.105
Distant metastasis (M0/M1)1.5634.772 (3.306–6.888)<0.0010.2961.345 (0.745–2.426)0.325
AJCC stage (I/II/III/IV)0.9502.586 (2.167–3.087)<0.0010.5281.695 (1.141–2.517)0.009
Radicality (R0/R1 or R2)1.0972.995 (2.317–3.882)<0.0010.4671.595 (1.164–2.186)0.004
Tumor size (≤6 cm/>6 cm)0.8502.339 (1.841–2.972)<0.0010.4811.618 (1.233–2.122)0.001
Tumor location (upper/middle/low/whole)−0.0460.955 (0.833–1.095)0.510−0.0690.934 (0.811–1.075)0.339
MLNR (≤31.5%/>31.5%)1.0452.842 (2.229–3.624)<0.0010.2911.337 (0.930–1.923)0.116
Differentiation (differentiated/undifferentiated)0.3111.364 (1.055–1.765)0.0180.0381.038 (0.791–1.364)0.786
Ascites (no/yes)0.6992.012 (1.069–3.787)0.0300.0911.095 (0.557–2.151)0.792
CA19–9 (negative/positive)0.3671.443 (1.116–1.867)0.005−0.0090.991 (0.748–1.3130)0.949
CEA (negative/positive)0.2251.253 (0.969–1.619)0.0850.0901.094 (0.834–1.436)0.517
Hb (negative/positive)−0.3740.688 (0.547–0.865)0.001−0.2700.764 (0.594–0.982)0.035

Abbreviations: AJCC, American Joint Committee on Cancer; CA, carbohydrate antigen; CEA, carcinoembryonic antigen; CI, confidence interval; GC, gastric cancer; Hb, hemoglobin; HR, hazards ratio; MLNR, metastasis lymph node rate.

Additionally, we conducted the survival analysis of MLR and PNI in younger and older GC patients, respectively. The cutoff value of MLR was the mean value that was 0.240 in younger GC patients and 0.292 in older GC patients, and so was the PNI that was 52.883 in younger GC patients and 48.862 in older GC patients. We found that both younger GC patients with lower MLR and older GC patients with higher PNI had much better prognoses (Figure 3). Comparing the MLR and PNI values between younger and older GC patients, we found that MLR in younger patients was significantly lower (P=0.011) and PNI was significantly higher (P<0.001) than those in older patients (Table 5). The divergence of MLR was not significant when it was divided into stages I, II, III and IV between younger and older GC patients, while it was significant of PNI in stages II, III and IV (Pall<0.05), but not in stage I. Tavares et al reported that lymphocyte may decline accompanied with an increase in age.13 So we calculated the differences of lymphocyte, monocyte and albumin in the two groups. We found that only albumin was significantly different between younger and older GC patients (P<0.001). Finally, we compared the albumin between the two groups in different stages and found that the differences were statistically significant in stages II, III and IV (Pall<0.05), but not in stage I (P=0.371).
Figure 3

Survival analysis of MLR and PNI in younger and older gastric cancer patients.

Abbreviations: Cum, cumulative; MLR, monocyte-to-lymphocyte ratio; PNI, prognostic nutritional index.

Table 5

Comparison of MLR, PNI, lymphocyte, monocyte and albumin between younger and older GC patients

StageBiomarkerGroupx¯±stP-value
Stage IMLRYounger0.220±0.051−0.9580.346
Older0.301±0.200
PNIYounger55.250±4.2261.0710.293
Older51.340±7.860
AlbuminYounger45.100±4.0090.9090.371
Older42.390±6.364
Stage IIMLRYounger0.210±0.093−1.9090.059
Older0.290±0.206
PNIYounger55.890±6.4134.00<0.001
Older49.330±8.156
AlbuminYounger46.050±4.9744.228<0.001
Older40.310±6.838
Stage IIIMLRYounger0.240±0.110−1.4530.147
Older0.270±0.178
PNIYounger51.500±7.3692.2010.029
Older49.000±7.760
AlbuminYounger42.090±6.0322.4230.016
Older39.850±6.317
Stage IVMLRYounger0.300±0.191−1.3740.175
Older0.400±0.269
PNIYounger51.760±6.9012.7110.009
Older45.350±8.803
AlbuminYounger43.390±5.8202.6780.010
Older38.230±7.115
All stagesMLRYounger0.240±0.123−2.5690.011
Older0.292±0.201
PNIYounger52.883±7.1404.730<0.001
Older48.862±8.060
LymphocyteYounger1.880±0.7161.2410.215
Older1.780±0.751
MonocyteYounger0.410±0.155−1.6490.100
Older0.440±0.174
AlbuminYounger43.490±5.8455.078<0.001
Older39.970±6.571

Abbreviations: GC, gastric cancer; MLR, monocyte-to-lymphocyte ratio; PNI, prognostic nutritional index.

Discussion

It is generally believed that GC is an age-related disease, and in recent decades, the number of younger and older GC patients has been increasing. It is necessary to clarify the adverse prognostic factors for patients in different age groups. In our study, we found that gender, differentiation, and CA19–9 and CEA were significantly different among younger and older GC patients. There were more women in the younger group, and the reason for this phenomenon remains unclear. There have been reports that estrogen can promote the diffusion and inhibit apoptosis in several cancers,14–16 and some have considered that this phenomenon may be related with their recent pregnancies.17,18 Jaspers et al suggested that there were more estrogen receptors in younger patients;19 however, another report demonstrated that only the number of metastatic lymph nodes was associated with estrogen receptor expression rather than other factors such as gender, age and tumor size.20 Younger GC patients generally had poor differentiation and this may be owing to that younger patients had higher infection rates of Helicobacter pylori, which lead to poor differentiation.21,22 Some reports have suggested that undifferentiated GC cells originated from gastric fundic glands, while intestinal metaplasia usually led to differentiated gastric adenocarcinoma.3,23 Higher CEA and CA19–9 levels in older patients have also been reported.24,25 In the multivariate analysis of the 470 patients, age, number of metastatic lymph nodes, AJCC TNM stage, radicality and tumor size were independent risk factors. Our study showed that younger patients had a much better prognosis than older patients, but in another study, Yukiko reported that the survival rate of young patients (<40) with GC was the same as that of patients in their 60s.5 This result may be due to the different cohorts we analyzed. In the 112 younger GC patients, only the number of metastatic lymph nodes was an independent risk parameter according to the multivariate analysis. Yukiko also reported that younger GC patients usually have metastasis to lymph nodes.5 It is believed that undifferentiated adenocarcinomas tend to have vertical infiltration, which leads to lymph node metastasis.21 Younger GC patients have worse prognoses in general; however, in this study, we found that younger patients had a much better overall survival rate than older patients. Although we failed to show the significant prognostic differences between younger and older patients in stage I and stage IV, it may be because the patients in stage I and stage IV were too few. The difference of MLR and PNI between younger and older patients indicated that younger patients possessed better immunity and nutritional status, which may be the main reason for their longer overall survival. And the better nutritional status may play a more important role. However, more investigations are needed to explain this phenomenon. We hesitate if strengthening nutrition for older GC patients after operation could improve prognosis. This drives us to pay more attention to the nutritional problems of the elder GC patients. There were some limitations in this study. First, this was a retrospective investigation based on a single hospital, and this may have led to some error. Second, not all of the patients who had gastrectomy in our hospital had successful consequence follow-up, which led to a smaller cohort. Third, it may be the most important that although we had told all of these patients who needed adjuvant chemotherapies to undergo subsequent treatments in our hospital or other hospitals, not all of them come back for subsequent standard treatments. So we cannot get this part of the data and recruit this diathesis into consideration. We have to say that this is really a pity.

Conclusion

Younger and older GC patients had significant differences in clinicopathological features, and younger GC patients had much better overall survival, lower MLR and higher PNI than older GC patients. The number of metastatic lymph nodes was the only risk parameter for a prognosis in younger GC patients, and AJCC TNM stage, radicality and tumor size were independent risk parameters for a prognosis in older GC patients. We should take more effective treatments for younger GC patients with lymph nodes metastasis and pay more attention to the nutritional problems of older GC patients.
  25 in total

Review 1.  The clinicopathologic significance of estrogen receptors in human gastric carcinoma.

Authors:  M Wesołowska; P Pawlik; P P Jagodziński
Journal:  Biomed Pharmacother       Date:  2016-07-09       Impact factor: 6.529

2.  Estrogen and risk of gastric cancer: a protective effect in a nationwide cohort study of patients with prostate cancer in Sweden.

Authors:  Mats Lindblad; Weimin Ye; Carlos Rubio; Jesper Lagergren
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-12       Impact factor: 4.254

3.  Helicobacter pylori infection is a major risk factor for gastric carcinoma in young patients.

Authors:  K Haruma; K Komoto; T Kamada; M Ito; Y Kitadai; M Yoshihara; K Sumii; G Kajiyama
Journal:  Scand J Gastroenterol       Date:  2000-03       Impact factor: 2.423

Review 4.  Inflammation: a driving force speeds cancer metastasis.

Authors:  Yadi Wu; Binhua P Zhou
Journal:  Cell Cycle       Date:  2009-10-03       Impact factor: 4.534

5.  The direct effect of estrogen on cell viability and apoptosis in human gastric cancer cells.

Authors:  Jian Qin; Min Liu; Qianshan Ding; Xiang Ji; Yarong Hao; Xiaomin Wu; Jie Xiong
Journal:  Mol Cell Biochem       Date:  2014-06-17       Impact factor: 3.396

6.  Protective role of 17 beta -estradiol against the development of Helicobacter pylori-induced gastric cancer in INS-GAS mice.

Authors:  Masahiro Ohtani; Alexis García; Arlin B Rogers; Zhongming Ge; Nancy S Taylor; Shilu Xu; Koichiro Watanabe; Robert P Marini; Mark T Whary; Timothy C Wang; James G Fox
Journal:  Carcinogenesis       Date:  2007-08-27       Impact factor: 4.944

7.  Outcome of gastric cancer in the elderly: a population-based evaluation of the Munich Cancer Registry.

Authors:  Anne Schlesinger-Raab; André L Mihaljevic; Silvia Egert; Rebecca Emeny; Karl-Walter Jauch; Jörg Kleeff; Alexander Novotny; Natascha C Nüssler; Miriam Rottmann; Wolfgang Schepp; Wolfgang Schmitt; Gabriele Schubert-Fritschle; Bernhard Weber; Christoph Schuhmacher; Jutta Engel
Journal:  Gastric Cancer       Date:  2015-08-11       Impact factor: 7.370

8.  Gastric cancer treatment in Japan: 2008 annual report of the JGCA nationwide registry.

Authors:  Yoh Isobe; Atsushi Nashimoto; Kohei Akazawa; Ichiro Oda; Kenichi Hayashi; Isao Miyashiro; Hitoshi Katai; Shunichi Tsujitani; Yasuhiro Kodera; Yasuyuki Seto; Michio Kaminishi
Journal:  Gastric Cancer       Date:  2011-09-07       Impact factor: 7.370

9.  Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model.

Authors:  Qiwen Deng; Bangshun He; Xian Liu; Jin Yue; Houqun Ying; Yuqin Pan; Huiling Sun; Jie Chen; Feng Wang; Tianyi Gao; Lei Zhang; Shukui Wang
Journal:  J Transl Med       Date:  2015-02-18       Impact factor: 5.531

10.  Normal lymphocyte immunophenotype in an elderly population.

Authors:  Sâmia Macedo Queiroz Mota Castellão Tavares; Wilame de Lima Bravo Junior; Metton Ribeiro Lopes E Silva
Journal:  Rev Bras Hematol Hemoter       Date:  2014-04-04
View more
  4 in total

1.  Controlling Nutritional Status (CONUT) Score Is A Predictor Of Post-Operative Outcomes In Elderly Gastric Cancer Patients Undergoing Curative Gastrectomy: A Prospective Study.

Authors:  Yingpeng Huang; Yunshi Huang; Mingdong Lu; Weijian Sun; Xiangwei Sun; Xiaodong Chen; Liyi Li; Arvine Chandoo; Leping Li
Journal:  Cancer Manag Res       Date:  2019-11-18       Impact factor: 3.989

2.  Three-Tier Prognostic Index in Young Adults With Advanced Gastric Cancer.

Authors:  Guang-Liang Chen; Yan Huang; Wen Zhang; Xu Pan; Wan-Jing Feng; Xiao-Ying Zhao; Xiao-Dong Zhu; Wen-Hua Li; Mingzhu Huang; Zhi-Yu Chen; Wei-Jian Guo
Journal:  Front Oncol       Date:  2021-09-10       Impact factor: 6.244

Review 3.  Gastric Cancer in Young Adults: A Different Clinical Entity from Carcinogenesis to Prognosis.

Authors:  Jian Li
Journal:  Gastroenterol Res Pract       Date:  2020-03-02       Impact factor: 2.260

4.  Clinicopathological characteristics and survival outcomes of younger patients with gastric cancer: a systematic review and meta-analysis.

Authors:  Penghui Niu; Lulu Zhao; Rui Ling; Dongbing Zhao; Yingtai Chen
Journal:  Transl Cancer Res       Date:  2020-10       Impact factor: 1.241

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.