Skip to main content
Oncotarget logoLink to Oncotarget
. 2017 Mar 6;8(14):23817–23830. doi: 10.18632/oncotarget.15909

Clinicopathologic and prognostic characteristics of alpha-fetoprotein–producing gastric cancer

Ruji He 1,#, Qinyi Yang 2,#, Xuqiang Dong 1, Yao Wang 1, Weiming Zhang 2, Lizong Shen 1, Zhihong Zhang 2
PMCID: PMC5410346  PMID: 28423604

Abstract

Alpha-fetoprotein–producing gastric cancer (AFPGC) accounts for 1.5%–7.1% of all gastric cancer cases. Compared with other types of gastric cancer, AFPGC is more aggressive and prone to liver and lymph node (LN) metastasis, with extremely poor prognosis. To improve understanding of AFPGC we reviewed a consecutive series of 82 AFPGC patients and investigated the prognostic factors. The incidence of AFPGC among our gastric cancer patients was 1.95%, and 29.27% of AFPGCs were diagnosed with metastasis at the time of presentation, mainly liver metastasis. The serum AFP level of patients with AFPGC was significantly associated with tumor differentiation. Histologically, these AFPGC patients were composed of 34.55% hapatiod type, 58.18% fetal gastrointestinal type, 9.09% yolk sac tumor-like type, and 14.55% mixed type. Patient gender, tumor differentiation, Lauren classification, and number of metastatic lymph nodes showed significant differences among these four subtypes. The overall survival time was 42.02 months and the 3-year cumulative survival rate was 53.13%. Age, American Joint Committee on Cancer (AJCC) TNM staging classification (TNM stage), serum AFP level, and surgery were prognostic factors for overall survival; however, TNM stage was the only independent risk factor for prognosis of AFPGC. In short, AFPGC is a rare, unique, and heterogeneous entity, and its proper identification and treatment remain a challenge. More attention should be paid to AFPGC to improve patient care and the dismal prognosis.

Keywords: alpha-fetoprotein–producing gastric cancer, prognosis, risk factor, overall survival

INTRODUCTION

Alpha-fetoprotein (AFP) is a well-known embryonal serum protein that is mainly produced by fetal liver cells and yolk sac cells [1] and commonly serves as an important tumor marker for hepatocellular carcinoma or yolk sac tumors. However, many studies have revealed that several other kinds of tumor can produce AFP, among which gastric cancer is the most common [2]. Gastric cancer with a high level of AFP is termed α-fetoprotein–producing gastric cancer (AFPGC) [3]. AFPGC was first described by Bourreille et al. in 1970 [4], and has since been reported all over the world but mostly in Asia, with an incidence of 1.5%–7.1% among all gastric cancer cases [2, 3, 58].

AFPGC shows aggressive characteristics and is prone to liver and lymph node metastasis; accordingly, AFPGC is known to have an extremely poor prognosis [811]. However, the pathogenesis and the standardized treatment process of AFPGC remain elusive [3], and most previous studies are case reports. To improve understanding of AFPGC we retrospectively reviewed the clinicopathologic features of a consecutive series of 82 AFPGC patients in the First Affiliated Hospital, Nanjing Medical University, and investigated prognostic factors. We found that the serum AFP level of patients with AFPGC was significantly associated with tumor differentiation, and that patient gender, tumor differentiation, Lauren classification, and number of metastatic lymph nodes showed significant association with the four subtypes of AFPGC. The overall survival time of the 72 AFPGC patients with follow-up was 42.02 months, and the 3-year cumulative survival rate was 53.13%. Age, TNM stage, serum AFP level, and surgery were prognostic factors for overall survival; however, TNM stage was the only independent risk factor for prognosis of AFPGC.

RESULTS

General characteristics

The 82 study patients with AFPGC have elevated serum AFP level, ranging from 20.5 ng/ml to more than 1,210 ng/ml with a median of 73.2 ng/ml. These patients included 62 males and 20 females with a median age of 62.5 years (range, 22–78 years). Regarding tumor location, 31 had tumor in the upper third of the stomach, 11 in the middle third, and 22 in the distal third, 17 patients had more than two thirds of the stomach affected, and one patient had gastric cancer with undetermined location.

Sixty-nine (84.15%) of our study patients underwent surgical treatment: of these, 54 patients underwent radical D2 gastrectomy including 36 cases of radical total gastrectomy, 16 cases of radical distal gastrectomy, and two cases of radical proximal gastrectomy. Six patients underwent curative-intent gastrectomy combined with other organ resection, including two cases of total gastrectomy with partial hepatectomy (for liver metastasis), two cases of distal gastrectomy with partial hepatectomy (for liver metastasis), one case of total gastrectomy with right ovariectomy (for ovarian metastasis), and one case of total gastrectomy with splenectomy (for N11 lymph node metastasis). Six patients with M1 disease underwent palliative gastrectomy, including two cases of total gastrectomy, one case of proximal gastrectomy, one case of distal gastrectomy, and two cases of gastrojejunostomy. Three cases were confirmed as T4b disease to pancreas and were treated with palliative total gastrectomy, palliative distal gastrectomy, and only laparotomy respectively.

Of the 82 patients with AFPGC, 24 cases (29.27%) were diagnosed with metastasis (M1) at the time of presentation including 17 cases of liver metastasis, two cases of ovarian metastasis, three cases of omentum metastasis, and two cases of other organ metastasis. Of these 24 cases, 12 did not undergo surgical intervention.

Thirty-four patients (47.22%) who underwent surgical treatment were followed up for serum AFP level. The serum AFP level decreased after radical surgical treatment in 28 patients and usually returned to a normal level in postoperative 1–3 months. Among six cases with persistently elevated postoperative serum AFP level, four patients underwent only palliative surgery and the underlying reason was not determined in the other two cases.

We analyzed the correlation between preoperative serum AFP level and clinicopathologic features in these AFPGC patients. As shown in Table 1, the preoperative serum AFP level showed no significant association with gender, age, tumor location, TNM stage, or liver metastasis. However, the serum AFP level in patients with poorly differentiated tumor was significantly higher than that in patients with well-differentiated tumor (median 97.03 ng/ml vs. 36.38 ng/ml, P=0.0268). We also evaluated the relationship between the preoperative serum AFP and carcinoembryonic antigen (CEA) level, and found no significant association (P=0.1979).

Table 1. Correlation of serum alpha-fetoprotein (AFP) level with clinicopathologic features in AFPGC patients.

Clinicopathological features N Serum AFP (ng/ml)[median (range)] P value
Gender 0.070
 Male 62 93.22(44.5625-823.825)
 Female 20 54.75(31.275-172.825)
Age 0.909
 <60yo 26 72.00(39.375-339.45)
 ≥60yo 56 73.20(39.65-439.875)
Location 0.483
 Upper third 31 54.10 (36.38-450.40)
 Middle third 11 45.55 (28.25-310.80)
 Lower third 23 94.16 (57.07-847.00)
 Two thirds or more 17 60.80 (50.40-476.10)
Differentiation 0.031
 Well differentiated 7 36.38 (24.00-46.30)
 Poorly differentiated 64 97.03 (46.425-622.375)
T stage 0.618
 T1 5 39.20 (24.30-271.35)
 T2 6 77.70 (41.9375-335.175)
 T3 3 74
 T4 54 83.34 (37.22-850.45)
N stage 0.770
 N0 8 45.925 (34.05-354.075)
 N1 11 74.00 (33.30-393.90)
 N2 18 122.25 (49.95-850.45)
 N3 30 83.34 (32.795-759.225)
M stage 0.811
 M0 58 73.20 (35.825-418.825)
 M1 24 76.30 (46.425-223.15)
TNM stage 0.301
 I~II 14 45.925 (30.075-208.35)
 III 42 96.09 (35.825-823.825)
 IV 24 76.30 (46.425-223.15)
Liver metastasis 0.567
 Yes 17 83.00 (47.15-540.50)
 No 65 72.40 (36.94-401.10)

Clinicopathologic characteristics of four morphologic subtypes of AFPGC

According to previous studies [10, 1215], the morphologic spectrum of AFPGC includes four subtypes: hepatoid type, fetal gastrointestinal type, yolk sac tumor-like type, and mixed type (Figure 1). On pathologic review, the 55 AFPGC patients with complete pathologic data consisted of 19 cases of hapatoid type (34.55%), 32 fetal gastrointestinal type (58.18%), 5 yolk sac tumor-like type (9.09%), and 8 mixed type (14.55%). We analyzed the correlation between subtype and clinicopathologic features, and further investigated the expression of AFP, vascular endothelial growth factor (VEGF), and CEA in these tumor tissues using immunohistochemistry. As shown in Table 2, patient gender, tumor differentiation, Lauren classification, and number of lymph node (LN) metastases showed significant association with the four subtypes. However, TNM stage, liver metastasis, serum AFP level, and tumor AFP or CEA immunoreactivity did not present a correlation with these subtypes.

Figure 1. Histologic subtypes of AFPGC.

Figure 1

(A) hepatoid type. Large polygonal hepatocyte-like cells with clear cytoplasm, resembling metastatic hepatocellular carcinoma but without biles. (B) fetal gastrointestinal type. Neoplastic glandular like early gut origin adenocarcinoma. (C) yolk sac tumor-like type. Reticular patterns formed by a loose network of sheets or nests with flat or cuboidal cells; (D) mixed type. Pleomorphic cells formed glandular clefts. Original magnification, ×100.

Table 2. Clinicopathologic characteristics of four subtypes of AFPGC.

Variables Hepatoid type(n=19) Fetal gastrointestinal type(n=32) Yolk sac tumor-like type(n=5) Mixed type(n=8) Chi-square P value
Gender 10.143 0.010
 Male 16 26 4 2
 Female 3 6 1 6
Age 2.118 0.595
 <60yo 8 8 1 3
 ≥60yo 11 24 4 5
Tumor location 7.925 0.522
 Upper third 7 13 2 2
 Middle third 4 4 0 2
 Lower third 5 9 1 0
Two-thirds or more 3 6 2 4
Histological differentiation 7.860 0.047
 Well differentiated 0 7 0 0
 Poorly differentiated 19 25 5 8
Lauren classification 46.802 0.000
 Intestinal 19 32 0 2
Diffuse 0 0 5 2
 Mixed 0 0 0 4
Depth of invasion 9.489 0.264
 T1 2 3 0 0
 T2 3 2 0 1
 T3 1 0 0 2
 T4 13 27 5 5
N status 8.282 0.462
 N0 3 3 0 2
 N1 3 7 0 1
 N2 5 11 0 1
 N3 8 11 5 4
TNM stage 4.127 0.947
 I 3 3 0 1
 II 2 3 0 2
 III 12 20 4 4
 IV 2 6 1 1
Lymphovascular invasion 3.649 0.324
 Positive 10 9 2 4
 Negative 9 23 3 4
Nerve invasion 3.854 0.272
 Positive 3 8 3 2
 Negative 16 24 2 6
Liver metastasis 1.318 0.803
 Yes 2 5 0 0
 No 17 27 5 8
Serum AFP level 4.990 0.167
 <200ng/ml 8 23 3 6
 ≥200ng/ml 11 9 2 2
AFP immunoreactivity in tumor 3.234 0.354
 - 12 25 5 7
 +~++ 7 7 0 1
VEGF immunoreactivity in tumor 2.543 0.466
 -~+ 10 23 4 6
 ++ 9 9 1 2
CEA immunoreactivity in tumor 10.945 0.065
 - 12 8 1 1
 + 4 13 1 4
 ++~+++ 3 11 3 3
Variables Hepatoid type(n=19) Fetal gastrointestinal type(n=32) Yolk sac tumor-like type(n=5) Mixed type(n=8) F value P value
Average tumor size (cm) 5.58±2.957 5.55±2.377 8.80±4.087 7.36±5.344 2.124 0.107
LN harvest 27.11±14.541 24.69±11.893 31.00±8.803 32.50±14.283 0.992 0.403
No. of LN metastasis 8.95±9.600 7.75±8.394 21.60±7.403 9.25±8.598 3.648 0.017
Serum AFP (ng/ml) 525.30±494.093 275.05±411.640 513.86±595.921 153.26±227.547 2.112 0.108
Serum CEA (ng/ml) 23.72±48.241 75.22±165.076 3.65±1.279 11.47±14.125 0.856 0.473

Survival analysis

Although all patients received follow-up, 10 patients (12.2%) were lost to follow-up. As shown in Figure 2A, the overall survival time (OS) of the remaining 72 patients was 1–69 months (mean 42.02 months) and the 3-year cumulative survival rate of the 72 patients was 53.13%.

Figure 2. Survival analysis for AFPGC patients.

Figure 2

The mean overall survival (OS) of the 72 patients was 42.02 months, and the 3-year cumulative survival rate was 53.13% (A), and surgical treatment showed significant beneficial effects on OS of 72 AFPGC patients ((B), P=0.001). Compared with palliative surgery, radical surgery and curative-intent surgery produced significant survival benefits for 55 AFPGC patients with complete clinicopathologic data ((C), P=0.001). However, surgical treatment did not produce survival benefit for 21 AFPGC patients with synchronous M1 disease ((D), P=0.131), and curative-intent surgery also did not have survival advantage over palliative surgery in these M1 patients ((E), P=0.524).

The survival time of the surgery group (including radical gastrectomy, curative-intent gastrectomy combined with other organ resection, palliative gastrectomy, gastrojejunostomy, and laparotomy) was 1–69 months (mean 45.43 months) and the 3-year survival rate was 58.10%; in contrast, the survival time for the non-surgery group was only 4–28 months (mean 12.85 months) (Figure 2B, P=0.001). Furthermore, radical surgery and curative-intent surgery could produce significant survival benefits for 55 AFPGC patients with complete clinicopatholigic data with comparison to palliative surgery (Figure 2C, P=0.001). For 21 patients with synchronous M1 disease who had complete follow-up data there was no survival benefit from surgical treatment; the survival time was 4–32 months (mean 22.08 months) in the surgery group and 3–28 months (mean 12.32 months) in the non-surgery group (Figure 2D, P=0.131). Moreover curative-intent surgery for M1 disease did not show a survival advantage over palliative surgery (mean 25.00 months vs. 20.33 months, P=0.524) (Figure 2E).

The Kaplan–Meier method and log-rank test for 72 patients showed significant survival differences according to age, TNM stage (especially M0 vs. M1 and presence vs. absence of liver metastasis), and surgery (Table 3). Similar results were observed for the 55 AFPGC patients with complete pathologic data and tests in this subgroup indicated that serum AFP level (<200 ng/ml vs. ≥200 ng/ml) was a prognostic factor for overall survival (P=0.030) (Table 4). However, multivariate Cox regression analysis showed that only TNM stage was an independent risk factor for prognosis in AFPGC (Table 5).

Table 3. Prognostic factors for overall survival analyzed by the Kaplan–Meier method in 72 AFPGC patients with follow-up.

Variables Total No. No. of events Means for survival time (months) Chi-square P value
Estimate Std. Error %95 CI
Lower Upper
Gender 2.073 0.150
 Male 56 19 43.814 4.377 35.235 52.394
 Female 16 8 34.222 7.162 20.184 48.260
Age 4.047 0.044
 <60yo 20 11 27.908 6.268 15.621 40.194
 ≥60yo 52 16 46.178 4.229 37.889 54.467
Location 2.625 0.453
 Upper third 27 9 37.137 6.631 24.140 50.133
 Middle third 9 2 49.733 8.064 33.929 65.538
 Lower third 22 10 39.871 6.468 27.193 52.549
 Two thirds or more 14 6 27.136 5.564 16.230 38.041
Differentiation 0.035 0.851
 Well differentiated 7 2 38.286 6.754 25.047 51.524
 Poorly differentiated 55 19 44.712 4.300 36.283 53.140
Lauren classification 1.469 0.480
 Diffuse type 4 2 20.750 11.438 0.000 43.169
 Intestinal type 47 14 47.726 4.567 38.774 56.678
 Mixed type 4 1 17.500 0.354 16.807 18.193
M stage 12.245 0.000
 M0 51 14 49.321 4.304 40.884 57.757
 M1 21 13 17.904 2.936 12.150 23.658
TNM stage 14.756 0.001
 I~II 14 1 64.143 4.680 54.969 73.317
 III 35 12 44.620 4.956 34.906 54.335
 IV 21 13 17.904 2.936 12.150 23.658
Liver metastasis 6.420 0.011
 Yes 16 9 18.503 3.496 1.651 25.354
 No 56 18 46.288 4.225 38.007 54.570
Vascular or lymphatic invasion 0.020 0.887
 Yes 22 7 48.038 6.492 35.313 60.763
 No 35 11 42.711 4.585 33.723 51.698
Nerve invasion 0.314 0.575
 Yes 14 5 42.151 7.373 27.699 56.603
 No 43 13 47.450 4.706 38.227 56.674
Serological AFP level 1.683 0.195
 <200ng/ml 47 14 47.886 4.695 38.683 57.088
 ≥200ng/ml 25 13 34.348 5.548 23.474 45.223
Surgery 22.052 0.000
 Radical surgery 47 11 52.110 4.283 43.716 60.504
 Curative-intent surgery 4 2 25.000 8.573 8.197 41.803
 Palliative surgery 9 7 16.333 3.668 9.143 23.523
 No surgery 12 7 12.854 3.388 6.213 19.495

Table 4. Prognostic factors for overall survival analyzed by the Kaplan–Meier method in 55 AFPGC patients with complete clinicopathologic data.

Variables Total No. No. of events Means for survival time (months) Chi-square P value
Estimate Std. Error %95 CI
Lower Upper
Gender 0.187 0.666
 Male 43 13 46.749 4.825 37.291 56.206
 Female 12 4 43.562 7.922 28.035 59.090
Age 5.431 0.020
 <60yo 14 8 29.785 6.943 16.176 43.393
 ≥60yo 41 9 49.255 3.990 41.434 57.075
Location 4.070 0.254
 Upper third 21 7 31.310 3.321 24.801 37.818
 Middle third 8 1 55.200 6.977 41.526 68.874
 Lower third 14 4 51.016 7.394 36.524 65.508
 Two thirds or more 12 5 28.333 5.841 16.884 39.783
Differentiation 0.000 0.995
 Well differentiated 7 2 38.286 6.754 25.047 51.524
 Poorly differentiated 48 15 47.041 4.561 38.100 55.981
Lauren classification 1.469 0.480
 Diffuse type 4 2 20.750 11.438 0.000 43.169
 Intestinal type 47 14 47.726 4.567 38.774 56.678
 Mixed type 4 1 17.500 0.354 16.807 18.193
Morphologic subtype 2.589 0.459
 Hapatiod 15 3 55.780 6.794 42.463 69.097
 fetal gastrointestinal 30 11 36.780 3.988 28.963 44.596
 yolk sac tumor-like 4 2 20.750 51.438 0.000 43.169
 mixed 6 1 51.500 9.959 31.980 71.020
M stage 6.089 0.014
 M0 47 12 50.468 4.461 41.725 59.211
 M1 8 5 19.813 4.919 10.172 29.453
TNM stage 8.329 0.016
 I~II 14 1 64.143 4.680 54.969 73.317
 III 33 11 42.532 4.747 33.229 51.835
 IV 8 5 19.813 4.919 10.172 29.453
Liver metastasis 3.388 0.066
 Yes 7 4 21.786 5.270 11.457 32.115
 No 48 13 49.518 4.466 40.764 58.272
Vascular invasion 0.012 0.911
 Yes 20 6 49.261 6.723 36.084 62.438
 No 35 11 42.711 4.585 33.723 51.698
Nerve invasion 0.036 0.849
 Yes 13 4 44.962 7.482 30.297 59.626
 No 42 13 46.495 4.855 36.980 56.011
AFP immunoreactivity in tumor 0.619 0.431
 - 42 14 44.952 5.029 35.095 54.809
 +, ++ 13 3 41.046 5.182 30.890 51.202
CEA immunoreactivity in tumor 0.144 0.931
 - 20 6 47.874 6.993 34.168 61.579
 + 20 6 40.626 4.714 31.386 49.866
 ++, +++ 15 5 43.018 7.079 29.144 56.893
VEGF immunoreactivity in tumor 0.084 0.773
 -, + 38 11 48.209 5.158 38.100 58.318
 ++ 17 6 36.536 4.715 27.295 45.776
Serum AFP level 4.724 0.030
 <200ng/ml 34 6 56.884 4.492 48.079 65.688
 ≥200ng/ml 21 11 30.739 4.031 22.838 38.640
Surgery 16.847 0.000
 Radical surgery 45 10 52.537 4.426 43.861 61.212
 Curative-intent surgery 4 2 25.000 8.573 8.197 41.803
 Palliative surgery 6 5 12.667 3.970 4.886 20.447

Table 5. Multivariate analysis by the Cox model.

Clinicopathological factors Covariate Means P value RR 95% CI for RR
Lower Upper
Age 0.743 0.133 0.534 0.236 1.210
TNM stage 0.002
 III vs I~II 0.500 0.298 3.023 0.376 24.301
 IV vs I~II 0.300 0.021 11.441 1.433 91.359
Serum AFP 0.343 0.065 2.179 0.953 4.983
Surgery 0.157 0.080 3.088 0.873 10.926

RR: relative risk.

DISCUSSION

Alpha-fetoprotein–producing gastric cancer is a relatively rare form of gastric cancer. In the present study AFPGC accounted for approximately 1.95% of all gastric cancers, which is similar to previous reports [2, 3, 58]. Van der Veek et al. [17] proposed that AFP values greater than 500 ng/ml are unlikely to be due to benign conditions, but only 18.29% (15/82) of AFPGC patients in the present series met this criterion. More importantly, among the AFPGC patients who were followed for serum AFP level, serum AFP level decreased rapidly after radical operation but remained high level after palliative surgery, strongly suggesting that AFP was produced by gastric cancer cells [2]. In this study, serum AFP level was significantly associated with tumor differentiation; however, no correlation with metastasis or liver metastasis was found [11].

Liver metastasis is a characteristic feature of AFPGC, occurring in 33%–72% of all AFPGC cases [9, 17]. Twenty-four patients (29.27%) in our study were diagnosed as synchronous metastasis, and most of these were liver metastasis, but we did not obtain details of metachronous liver metastasis or other metastasis during follow-up. Metachronous liver metastasis may occur in approximately 50% of patients who undergo curative resection of the tumor within a year after surgery [17, 18], and elevation of serum AFP level may be detected prior to appearance of symptoms and imaging detection. Therefore, AFPGC patients should be carefully observed for early detection and treatment of possible recurrent disease by measuring the serum AFP levels as a follow-up marker [9].

AFPGC can be divided into four morphologic subtypes. The hepatoid type and the yolk sac tumor-like type are derived from liver cell metaplasia and yolk sac cell metaplasia of common poorly differentiated medullary adenocarcinoma, respectively, whereas the fetal gastrointestinal type appears to be imitation of fetal gastrointestinal epithelium by common tubular adenocarcinoma [12]. Unlike previous reports [10, 12], the hepatoid type only accounted for 34.55% of the AFPGC cases in this study whereas more than half of our cases were the fetal gastrointestinal type. Tsung proposed that the criterion for diagnosing AFPGC is positive staining of AFP in the primary lesion by immunohistochemical methods [6]. However, the incidence of AFP-positive expression in this study was only 27.27% (Table 2, 15/55), which was lower than that in other studies [10, 15, 19]. The expression of VEGF and CEA was also evaluated by immunohistochemistry, and our results indicated that AFP immunoreactivity was more common in the hepatoid type (Table 2, 7/12, 36.84%) whereas CEA was more common in the fetal gastrointestinal type (Table 2, 24/32, 75%), which is consistent with findings of previous studies [10, 17]. There were no significant differences in AFP, VEGF, and CEA expression among these four morphologic subtypes. All hepatoid type AFPGCs were poorly differentiated and had a higher incidence of lymphovascular invasion indicating that the hepatoid type is highly malignant [12], although there was no survival difference among the four subtypes. This study also showed that the yolk sac tumor-like type of AFPGC might be the most detrimental type; all tumors of this type were poorly differentiated and diffuse type of Lauren classification and had the highest number of metastatic lymph nodes. Wang et al. [10] also revealed that the yolk sac tumor-like type AFPGC had the worst prognosis among the four subtypes although no significant survival difference was found.

AFPGC has been considered to have unfavorable long-term survival, mainly due to the higher incidence of liver metastasis and lymphovascular invasion [9, 20]. In this study, the mean survival time was 42.02 months and the 3-year cumulative survival rate was 53.13%. Shibata et al. reported that the 5-year survival rate post-curative resection is only 8.3% [9]. The mechanisms underlying the poor prognosis are not well understood although AFP has been reported to have a suppressive effect on lymphocyte transformation [20], to enhance tumor cell proliferation through the HGF and c-Met pathway [9, 21], and to increase angiogenesis via VEGF expression [22, 23].

In the present report, patient age, TNM stage, and surgical treatment were found to be associated with overall survival. It is easily understood that young AFPGC patients are prone to a more detrimental prognosis. Metastatic diseases, especially liver metastasis, and advanced TNM stage were significantly negatively correlated with survival time, consistent with many previous reports [10, 11]. It is interesting that serum AFP level was a risk factor for survival in a subgroup of these patients, and the mean survival time of patients with AFP level greater than 200 ng/ml was shorter than that in patients with AFP level lower than 200 ng/ml (Table 4). To our best knowledge, this is the first report of a significant association between serum AFP levels and overall survival in AFPGC patients. More than 80% of these patients underwent surgical treatment. Surgical treatment, especially radical surgery and curative-intent surgery, could produce survival advantages. However, surgical treatment for M1 disease did not present a survival benefit and curative-intent surgery was also not favorable for these patients, indicating that it will be important to develop a novel effective multimodal therapy for AFPGC [6, 9]. However, multivariate analysis indicated that only TNM stage was an independent risk factor for prognosis in AFPGC, consistent with previous studies [10].

Obviously, limited knowledge and limited successful treatment options exist for AFPGC [17]. It has gradually become recognized that AFPGC is quite different from the conventional type of gastric cancer. Recently, several studies have been conducted on AFPGC with the aim of improving the outcome of AFPGC patients. He et al. [8] investigated the differential expression of proteins between AFPGC and AFP non-producing gastric cancer and found that high level expressions of XIAP and IGF-Irβ in tumor tissues were independent factors for poor prognosis in AFPGC patients, and that AFPGC may be separated into two subgroups with involvement of a distinct set of signaling pathways based on a risk model of XIAP and IGF-Irβ expression and TNM stage. Shimakata et al. [7] investigated expression levels of a panel of solute carrier transporters (SLC) in AFPGC and conventional gastric cancer and proposed that patients with AFPGC may potentially benefit from gemcitabine/fluoropyrimidine combination chemotherapy. Better understanding of AFPGC at the cellular and molecular levels will aid the development of individualized therapy for AFPGC [3, 6].

In conclusion, AFPGC is a rare, unique, and heterogeneous entity, and its proper identification and treatment remain a challenge. The present study helps us understand AFPGC; however, greater attention must be paid to AFPGC to improve patient care and the dismal prognosis.

MATERIALS AND METHODS

Patients

Approximately 4,200 patients with primary gastric adenocarcinoma were diagnosed and treated in the First Affiliated Hospital, Nanjing Medical University from January 2010 to May 2016. We searched for patients with elevated serum alpha-fetoprotein (AFP) level on admission among these cases. Serum AFP level was determined by ELISA, and a concentration greater than 20 ng/ml was considered elevated. Patients with abnormal liver function or with liver diseases such as acute or chronic hepatitis, cirrhosis, fatty liver, alcoholic liver, and primary liver cancer were excluded. A total of 82 patients (1.95%) were confirmed as alpha-fetoprotein–producing gastric cancer (AFPGC) and were enrolled in the present study. All patients were diagnosed pathologically according to the AJCC criteria (7th ed., 2010). The clinicopathologic data of these enrolled patients were collected retrospectively and the patients received follow-up for survival by telephone or subsequent consultation with a cut-off date of October 2016. The follow up time was 4–70 months (median: 27.5 months). Patients provided their written informed consent. Samples were stored in the hospital database for studies. This study was approved by the Nanjing Medical University Institutional Review Board, and complied with the Helsinki Declaration.

Tissue array and immunohistochemistry

All pathologic data of the enrolled patients were reviewed independently by two experienced pathologists for histologic classification according to previous reports [10, 13].

Paraffin-embedded formalin-fixed tissues were obtained and re-embedded in an arrayed master block. The Beecher Instruments arraying device (Sun Prairie, WI, USA) was used to produce circular sample spots 1.0 mm in diameter. Immunohistochemistry was performed according to standard protocols. Briefly, 4-μm sections were deparaffinized in xylene and rehydrated in graded ethanol. Antigen retrieval was achieved by boiling the sections in 10 mM citrate buffer (pH 6.0) for 10 min in a pressure cooker. The sections were then sequentially blocked with 3% hydrogen peroxide/methanol for 10 min and with non-immune serum for 10 min. The sections were incubated overnight at 4°C with primary antibodies against AFP, CEA, and VEGF (Fuzhou Maixin Biotechnology, Fuzhou, China). Negative controls were prepared by omitting the primary antibody. After a wash with phosphate-buffered saline (PBS), the sections were incubated with biotin secondary antigen for 15 min at 37°C and then the chromogen was developed for 5 min with liquid 3,3′-diaminobenzidine. Nuclei were counterstained with hematoxylin.

The staining was evaluated by two pathologists on the basis of the percentage of stained cells and staining density. The grades for the percentage of stained cells ranged from 0 to 4 (0, unstained cells; 1, 1–10% stained cells; 2, 11–50% stained cells; 3, 51–80% stained cells; 4, 81–100% stained cells). The grades for staining density ranged from 0 to 3 (0, unstained cells; 1, slightly stained cells; 2, moderately stained cells; 3, highly stained cells). The two scores were multiplied, resulting in the following levels of immunohistochemical staining: 0 points, −; 1–4 points, +; 5–8 points, ++; and 9–12 points, +++.

Statistical analysis

Statistical analysis was performed using SPSS 22.0 software (SPSS Inc., IL, USA). Mann–Whitney U test and Kruskal–Wallis test were used to analyze the relationship between serum AFP level and clinicopathologic features. The Chi-square Test, Fisher Probabilistic Methods, and ANOVA were used to analyze the relationships between the four subtypes of AFPGC and clinicopathologic features. The clinicopathologic factors were analyzed by the Kaplan–Meier method and compared by the log-rank test. The Cox model was also used to analyze the prognostic factors in a multivariate analysis. The observed end point was death. All tests were two-sided. A P value <0.05 was considered statistically significant.

Acknowledgments

The authors are grateful to all doctors at the relevant departments for their clinical practice on the enrolled patients.

Abbreviations

AFPGC

α-fetoprotein–producing gastric cancer

AFP

α-fetoprotein

VEGF

vascular endothelial growth factor

CEA

carcinoembryonic antigen

OS

overall survival

LN

lymph node

Footnotes

CONFLICTS OF INTEREST

The authors declare they have no conflicts of interest.

GRANT SUPPORT

This project was funded by the National Natural Science Foundation of China (Grant No. 81272711), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD, JX10231801), and the Natural Scientific Foundation of Jiangsu Province (BK20151582).

REFERENCES

  • 1.Gitlin D, Pericelli A, Gitlin G. Synthesis of alpha-fetoprotein byliver, yolk sac and gastrointestinal tract of the human conceptus. Cancer Res. 1972;32:979–982. [PubMed] [Google Scholar]
  • 2.Ishikura H, Fukasawa Y, Ogasawara K, Natori T, Tsukada Y, Aizawa M. An AFP-producing gastric carcinoma with features of hepatic differentiation. A case report. Cancer. 1985;56:840–848. doi: 10.1002/1097-0142(19850815)56:4<840::aid-cncr2820560423>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
  • 3.Li XD, Wu CP, Ji M, Wu J, Lu B, Shi HB, Jiang JT. Characteristic analysis of α-fetoprotein-producing gastric carcinoma in China. World J Surg Oncol. 2013;11:246. doi: 10.1186/1477-7819-11-246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bourreille J, Metayer P, Sauger F, Matray F, Fondimare A. Existence of alpha fetoprotein during gastric-origin secondary cancer of the liver. Presse Med. 1970;78:1277–1278. [PubMed] [Google Scholar]
  • 5.Takahashi Y, Mai O, Orgino T, Ueda H, Sawaguchi K, Ueno M. Clinicopathological study of AFP producing gastric cancer. [Article in Japanese] Nihon Geka Gakkai Zasshi. 1987;88:696–700. [PubMed] [Google Scholar]
  • 6.Tsung SH. Alpha-fetoprotein producing gastric cancer. J Formos Med Assoc. 2016;115:130–131. doi: 10.1016/j.jfma.2015.01.010. [DOI] [PubMed] [Google Scholar]
  • 7.Shimakata T, Kamoshida S, Kawamura J, Ogane N, Kameda Y, Yanagita E, Itoh T, Takeda R, Naka A, Sakamaki K, Hayashi Y, Kuwao S. Immunohistochemical expression profiles of solute carrier transporters in alpha-fetoprotein-producing gastric cancer. Histopathology. 2016;69:812–821. doi: 10.1111/his.13004. [DOI] [PubMed] [Google Scholar]
  • 8.He L, Ye F, Qu L, Wang D, Cui M, Wei C, Xing Y, Lee P, Suo J, Zhang DY. Protein profiling of alpha-fetoprotein producing gastric adenocarcinoma. Oncotarget. 2016;7:28448–28459. doi: 10.18632/oncotarget.8571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Shibata Y, Sato K, Kodama M, Nanjyo H. Alpha-fetoprotein-producing early gastric cancer of the remnant stomach: report of a case. Surg Today. 2007;37:995–999. doi: 10.1007/s00595-007-3501-0. [DOI] [PubMed] [Google Scholar]
  • 10.Wang D, Li C, Xu Y, Xing Y, Qu L, Guo Y, Zhang Y, Sun X, Suo J. Clinicopathological characteristics and prognosis of alpha-fetoprotein positive gastric cancer in Chinese patients. Int J Clin Exp Pathol. 2015;8:6345–6355. [PMC free article] [PubMed] [Google Scholar]
  • 11.Qu BG, Bi WM, Qu BT, Qu T, Han XH, Wang H, Liu YX, Jia YG. PRISMA-compliant article: Clinical characteristics and factors influencing prognosis of patients with hepatoid adenocarcinoma of the stomach in China. Medicine (Baltimore) 2016;95:e3399. doi: 10.1097/MD.0000000000003399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Motoyama T, Aizawa K, Watanabe H, Fukase M, Saito K. Alpha-Fetoprotein producing gastric carcinomas: a comparative study of three different subtypes. Acta Pathol Jpn. 1993;43:654–661. doi: 10.1111/j.1440-1827.1993.tb02549.x. [DOI] [PubMed] [Google Scholar]
  • 13.Li X, Shi F, Le M, Zhang T, Wang C, Lai R, Yang H. A study of histopathology and classification on AFP-positive gastric carcinoma. Chin J Clin Exp Pathol. 1999;15:293–296. [Google Scholar]
  • 14.Xie Y, Zhao Z, Li P, Wang Y, Guo C, Wang X, Tang W, Liu Q, Lu N, Xue L, Zhao D. Hepatoid adenocarcinoma of the stomach is a special and easily misdiagnosed or missed diagnosed subtype of gastric cancer with poor prognosis but curative for patients of pN0/1: the experience of a single center. Int J Clin Exp Med. 2015;8:6762–6772. [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhang JF, Shi SS, Shao YF, Zhang HZ. Clinicopathological and prognostic features of hepatoid adenocarcinoma of the stomach. Chin Med J (Engl) 2011;124:1470–1476. [PubMed] [Google Scholar]
  • 16.van der Veek PP, de Vos Tot Nederveen Cappel WH, Langers AM, van Hoek B. Two patients with extremely elevated tumor markers: where is the malignancy? Gastroenterol Res Pract. 2011;2011:123743. doi: 10.1155/2011/123743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Vivekanandarajah A, Atallah JP, Gupta S. Alpha-fetoprotein-producing nonmetastatic gastric adenocarcinoma: a rare entity. J Gastrointest Cancer. 2014;45:225–227. doi: 10.1007/s12029-013-9498-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Chang YC, Nagasue N, Abe S, Kohno H, Kumar DD, Nakamura T. Alpha fetoprotein producing early gastric cancer with liver metastasis: report of three cases. Gut. 1991;32:542–545. doi: 10.1136/gut.32.5.542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Xiao C, Wu F, Jiang H, Teng L, Song F, Wang Q, Yang H. Hepatoid adenocarcinoma of the stomach: Nine case reports and treatment outcomes. Oncol Lett. 2015;10:1605–1609. doi: 10.3892/ol.2015.3430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yachim S. The immunosuppressive properties of alphafetoprotein. A brief review. NY Acad Sci. 1983;417:105–107. doi: 10.1111/j.1749-6632.1983.tb32854.x. [DOI] [PubMed] [Google Scholar]
  • 21.Amemiya H, Kono K, Mori Y, Takahashi A, Ichihara F, Lizuka H, Sekikawa T, Matsumoto Y. High frequency of c-Met expression in gastric cancer producing alpha-fetoprotein. Oncology. 2000;59:145–151. doi: 10.1159/000012152. [DOI] [PubMed] [Google Scholar]
  • 22.Kamei S, Kono K, Amemiaya H, Takahashi A, Sugai H, Ichiara F, Fujii H, Matsumoto Y. Evaluation of VEGF and VEGF-C expression in gastriccancer cells producing a-fetoprotein. J Gastroenterol. 2003;38:540–547. doi: 10.1007/s00535-002-1099-y. [DOI] [PubMed] [Google Scholar]
  • 23.Koide N, Nishio A, Igarashi J, Kajikawa S, Adachi W, Amano J. Alpha-fetoprotein-producing gastric cancer: histochemical analysis of cell proliferation, apoptosis, and angiogenesis. Am J Gastroenterol. 1999;94:1658–1663. doi: 10.1111/j.1572-0241.1999.01158.x. [DOI] [PubMed] [Google Scholar]

Articles from Oncotarget are provided here courtesy of Impact Journals, LLC

RESOURCES