CA724 predicts overall survival in locally advanced gastric cancer patients with neoadjuvant chemotherapy

DOI: https://doi.org/10.21203/rs.2.17520/v1

Abstract

Background: Serum tumor markers are of great importance in diagnosis, prognostic predicting and recurrence monitoring in gastrointestinal malignancy, including AFU, AFP, CEA, CA199, CA125 and CA724. However, their significances in gastric cancer (GC) patients with neoadjuvant therapy (NCT) are still uncertain. The aim of this study is to evaluate the predictive value of these six tumor markers in locally advanced GC patients with NCT and curative surgery.

Methods: 290 locally advanced GC patients with NCT and D2 radical gastrectomy were retrospectively analyzed. Their tumor markers before (pre-) and after (post-) NCT and pathological characters were exacted from the database in our hospital. The optimal cutoff values of six tumor markers were calculated by ROC and Youden index. Their predictive significances were analyzed and survival curves on overall survival (OS) were obtained by Kaplan-Meier method. Associations between categorical variables were explored by Chi-square test or Fisher's exact method. Multivariate analyses were performed by Cox regression model.

Results: Not only the pre- and post- CA199, CA125 and CA724 could predict the overall survival respectively, but also the changes (diff-) between post- and pre- groups were related to the prognosis (P < 0.05). In multivariable analysis, only pre- (P = 0.016) and post-CA724 (P = 0.033) remained significant, and the significance of diff-CA724 was on borderline (P = 0.085). Besides, pre- and post-CA199, CA125 and CA724 were associated with the metastasis of lymph node (N- vs N+) and pathological stage (Ⅰ-Ⅱ vs Ⅲ) (P < 0.05). Post-CA724 was related to the invasion of vascular or lymphatic vessels (P = 0.019), and pre-CA724 was nearly remarkable (P = 0.082). However, AFU, AFP and CEA showed no association with survival (P > 0.05).

Conclusions: CA724 is an independent factor to prognosis, and could be used to predict the ypN and ypTNM stage in locally advanced GC patients undergone NCT and curative resection.

Declarations

Ethics approval and consent to participate

The study was reviewed and approved by the Faculty of Science Ethics Committee at Liaoning Cancer Hospital and Institute (Cancer Hospital of China Medical University)

 

Consent for publication

Not applicable.

 

Availability of data and materials

The datasets analyzed during the current study are not publicly available due to the presence of identifiable patient information but are available from the corresponding author on reasonable request.

 

Competing interests

All authors declare that there is no conflict of interest.

 

Funding

No specific funding was disclosed.

 

Authors’ contributions

Yilin Tong performed the majority of experiments and analyzed the data and drafted the manuscript; Yan Zhao reviewed and revised the manuscript; Zexing Shan assisted in collected and analyzed the data; Jianjun Zhang supervised the study and provided critical revision of the manuscript.

 

Acknowledgments

Not applicable.

Background

Gastric cancer (GC) is the fifth most frequently diagnosed cancer and the third leading cause of cancer death worldwide[1]. Excellent outcomes could be expected from surgery alone when gastric cancer is diagnosed at early stage. However, in locally advanced GC patients, operation could not always lead to a satisfactory consequence, even with postoperative therapy[2]. Neoadjuvant chemotherapy (NCT) improves R0 resection rate and prognosis when compared with surgery alone or surgery with postoperative therapy[3], but the outcomes are blurred due to the differences in many factors such as tumor differentiation and Lauren classification. More indicators to assess the survival are urgently needed.

Serum tumor markers play an important role in diagnosis, prognostic predicting and recurrence monitoring in gastrointestinal malignancy. As studies claimed, AFU was considered to relate to liver metastasis in colorectal cancer[4]; AFP was associated with prognosis in gastric cancer patients undergone surgery alone[5]; preoperative CEA could predict the prognosis of pN0 GC patients[6]; CA199 was an independent prognostic factor in esophagogastric junction (GEJ) patients who experienced surgery alone[7], CA125 level was related to the degree of peritoneal dissemination and the existence of malignant ascites in GC patients with peritoneal metastasis[8], and CA724 was correlated with pTNM stage in gastric carcinoma patients[9]. However, for GC patients underwent NCT, the evidence of these markers is still insufficient.

In this article, we reappraised the prognostic significance of the six serum tumor markers before and after NCT as well as the change in locally advanced GC patients, and explored their inner-relationships and their relations with pathological factors.

Methods

Between June 2010 and July 2016, patients with locally advanced gastric adenocarcinoma (including esophagogastric junction carcinoma) who underwent preoperative chemotherapy with or without postoperative treatment were identified from the database of our hospital. The inclusion criteria were as follows: (1) Histopathological evidence of gastric adenocarcinoma; (2) locally advanced tumor (8th AJCC clinically staging Ⅱ~Ⅲ); (3) Underwent NCT and/or postoperative treatment; (4) curative gastrectomy surgery with D2 lymph node dissection were performed. The patients underwent preoperative radiotherapy, or suffering from other malignant tumor were excluded.

Clinical data, pre- and post-NCT serum tumor markers including AFU, AFP, CEA, CA199, CA125 and CA724 levels, as well as postoperative pathological information of all patients were extracted from our database. The diff- indicated the difference between post- and the pre- groups.

The optimal cutoff values of all serum tumor markers and other continuous variables were calculated by ROC curves and Youden index. The relationships between discrete variables were computed by Chi-square test or Fisher’s exact method, and their intensities were evaluated by coefficient of contingency (C value). Survival curves for overall survival were obtained using the Kaplan-Meier method, and log-rank test was used to compare survival differences. Cox regression analysis was used to assess the prognostic risk of tumor markers and pathological variables with OS, and the factors with P value ≤ 0.05 or with great importance in clinical diagnosis were included in multivariable analysis. OS was calculated as the time from the initial treatment time to death by any cause or last follow-up. Data was proceeded by SPSS 25.0 software.

Results

Patient characteristics

From 3196 patients in total, 290 patients matched the inclusion criteria. Their clinicopathological features were shown in Table 1. There were 215 males (74.1%) and 75 females (25.9%), with age range 25-77 years (median 59 years). For the tumor location, a majority of tumors located in L area (65.2%), while 8 (2.8%) in gastroesophageal junction (GEJ), and 24 (8.3%) in diffuse group. Most patients underwent preoperative therapy of SOX (73.8%), and the median cycle of NCT was 2 (range from 2-4). The median interval from the end of neoadjuvant treatment to the time of surgery was 4 weeks (range from 1-9). 31 (10.7%) patients refused to receive postoperative treatment. Median follow-up time of all patients was 41 months (range 3–91months).

Pathologically, the average number of removed lymph nodes was 27, and 100 (34.5%) patients had no lymph node metastasis. Nearly half of the patients (49.3%) presented with intestinal type, and only one fourth (25.2%) were well differentiated. Patients with vascular or lymphatic invasion (VOLI) accounted for 24.8%, while nervous invasion (NI) 23.4%.

 

Prognostic impact of levels of serum tumor markers

Because of the nature of retrospective studies, not all patients had six serum tumor markers. The number of patients whose markers were available before and after NCT were shown in Supplementary Table 1. The levels of pre- serum tumor markers were measured within 4 weeks before the beginning of NCT and the post- ones were measured within 2 weeks before gastrectomy.

The univariate analysis outcomes of every marker were listed in Table 2, and their survival curves were shown in Figure 1,2,3. These results indicated that for CA199, CA125 and CA724, all positive groups possessed worse prognosis (P < 0.05). While for AFU, AFP and CEA, there was no prognostic significance (P > 0.05).

In multivariate analysis, pre-, post-, and diff-CEA, CA199, CA125 and CA724 were included respectively (Table 3). In pre- and post- groups, CA724 remained its prognostic significance, while other markers were not. In diff- group, the P value for CA724 was closed to significant (P = 0.085).

 

Association within serum tumor markers

Because the significances of tumor markers were lost in multivariate analysis except for CA724, we analyzed the inter-connection between these markers. Their coefficients of contingency were shown in Table 4. In pre- group, the positive rates of CA199 (P = 0.005) and CA125 (P = 0.015) were significantly higher when CEA was positive, and the positive rates of CA125 (P = 0.001) and CA724 (P = 0.002) were significantly higher when CA199 was positive. However, for post- indicators, only the relation between CEA and CA125 was still remarkable (P = 0.014). Although associations also existed in diff-group, its C values were lower than the former groups.  

 

Relationship between serum tumor markers and pathological factors

The correlations between markers and pathological factors were analyzed (Table 5). The lymph node metastasis rates of the positive group were significantly higher in pre- and post-CA199, CA125 and CA724. In the diff- category, only diff-CA125 showed similar outcomes.

The ratio of ypTNM stage Ⅲ was significantly higher in positive group of pre- and post- CA199, CA125 and CA724.

In terms of VOLI, the invasion rate was significantly higher in positive team of post- CA724 (P = 0.019). In pre- group, the difference was close to significant (P = 0.082), while in diff- one, the significance was lost. For other markers, no associations were found. In addition, there were no relations between markers and NI.

Discussion

Serum tumor markers are widely applied in the diagnosis, therapeutic effect assessment and disease recurrence monitoring[9]. A series of studies have explored the diagnostic and prognostic value of various serum tumor markers for gastric cancer[10]. However, most of these researches based on the patients with surgery and/or posttreatment, with only a few focusing on the patients with NCT in gastric cancer[11, 12].

From other researches, CA125 was associated with R0 resection rate[13], recurrence and peritoneal dissemination[14] and OS in the unresectable advanced or recurrent GC patients[15]; CA199 was related to pN[7, 16–18] and pTNM stage[17], and CA724 possessed the larger area under the receiver operating curve, which meant a higher diagnostic efficiency[19]. However, none of their patients underwent NCT.

In our study, not only the levels of CA199, CA125 and CA724 before and after NCT could predict the prognosis, but also the differences were related to the outcomes. Similar results had been put forward by many researches in GC patients without NCT[8, 13, 19, 20]. Nevertheless, we found that only CA724 was an independent prognostic marker in multivariable analysis. Notably, this independent significance decreased in the diff- group, which was a little different with some studies. Zou et al.[11] claimed that the change of CA724 could reflect the therapeutic effect of NCT. Another paper supported that a decrease in CA724 could lead to a better prognosis[12]. The distinction might due to we included more pathological factors in multivariable analysis. Despite of this, CA724 was still more specific and sensitive than other markers for GC patients undergone NCT.

Although CA724 owned a higher diagnostic value in GC, its sensitivity was only about 45.0%[19]. Moreover, in China, CA724 was claimed to associate with Helicobacter pylori infection[21] and even geographical environment factors, such as temperature[22]. These indicated that it was not enough to evaluate the condition of patients merely depend on CA724. To solve this problem, a lot of work had been done. For example, TKI, an enzyme involved in the regulation of the mammalian cell cycle, was another choice of marker in gastric cancer[19]. Or, the combination of CA724 with CA199, CA125 and CEA could also improve the capability of diagnosis[9, 12, 19, 23].

With regard to the pathological factors, we found that CA199, CA125 and CA724 before and after NCT were all predict indicators for lymph node metastasis and ypTNM stage. In the previous articles, in GC patients who experienced curative gastrectomy, preoperative CA199 could predict the lymph node metastasis[17, 18] and the pTNM stage[17]. CA724 could detect nodal involvement[9] and predict worse stage in advanced gastric cancer patients[19]. As supplementary, we confirmed these in patients with preoperative therapy. In addition, we found CA125 as well as the change of CA125 was also related to ypN and ypTNM stage.

In our study, the VOLI rate was significantly higher in post-CA724 positive group, while in pre- group, the P value was nearly markable. However, Sun et al.[12] suggested that pre-CA724 was related to vascular invasion. This might suggest that CA724 could be used to assess the lymphatic or vascular invasion, but more researches are needed to distinguish the accuracy between pre- and post- groups.

It was unexpected that CEA was not related to prognosis in our study. Although a team from Japan claimed a similar result[7], a large number of studies suggested the opposite one[10, 16, 18, 24]. Nevertheless, our CEA positive rate was related to the rising of CA199 and CA125, which had been raised before[7, 19]. Notably, these connections weakened after the NCT, which probably meant that the preoperative treatment could blur these relationships.

The limitations still exist in this study. Firstly, due to the nature of retrospective research, some patients did not have all values of markers, which hindered the exploration of the combination of markers. Secondly, the sample size was not large. The sample number of AFU and AFP in every group were so small that they were not included in the further analysis. This limitation might also contribute to the reason why some P values were more than 0.05 but smaller than 0.1. Thirdly, we used the optimal cutoff value derived from Youden index, which disturbed the comparation with other studies.

Despite of these limitations, our study still possesses some merits. Our sample size is relatively small, but we forced on specific group of patients. Although the optimal cutoff values have been agreed in patients without preoperational treatment, whether the borderline would change due to neoadjuvant therapy is still unknown. We not only illuminated the prognostic significance of these tumor markers, but confirmed their effects to predict lymph node metastasis and pathological stage. These results are useful for assessing the condition of patients and further clinical decision.

Conclusions

CA724 before and after the neoadjuvant chemotherapy were both independent prognostic factors in GC patients undergone NCT and curative surgery. Pre- and post- CA724 could also be used to predict the lymph node metastasis and pathological stage. However, the change of CA724 was only statistically significant in the univariate analysis of prognosis.

Abbreviations

AFU: alpha-l-fucosidase; AFP: alpha-fetoprotein; CEA: Carcinoembryonic antigen; CA199: carbohydrate antigen 19–9; CA125: cancer antigen 125; CA724: carbohydrate antigen 72–4; ypTNM: Post-neoadjuvant therapy stage; pTNM: Pathological stage; GC: Gastric cancer; NCT: neoadjuvant therapy; OS: overall survival; AJCC: American Joint Committee on Cancer; VOLI: vascular or lymphatic invasion; NI: nervous invasion.

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Tables

Table 1     Clinicopathological characteristics

Characteristics

No. of patients

Percent

Gender

   

  Male

215

74.1

  Female

75

25.9

Age

   

  65

221

76.2

  ≥65

69

23.8

Blood type

 

  A

101

34.8

  B

73

25.2

  AB

28

9.7

  O

88

30.3

Smoking

   

  No

128

44.1

  Yes

162

55.9

Drinking

   

  No

194

66.9

  Yes

96

33.1

Family history

 

  No

230

79.3

  Yes

60

20.7

Tumor Location

 

  GEJ

8

2.8

  U

32

11.0

  M

54

18.6

  L

172

59.3

  Diffuse

24

8.3

Tumor Size (cm)

 

  <5

115

39.7

  ≥5

175

60.3

ypT

   

  0

9

3.1

  1-2

57

19.6

  3-4

224

77.3

ypN

   

  0

100

34.5

  1

49

16.9

  2

79

27.2

  3

62

21.4

ypTNM

   

  Ⅰ

53

18.3

  Ⅱ

72

24.8

  Ⅲ

165

56.9

Histological type

 

  Adenocarcinoma

186

64.1

  Mucinous or Signet ring cell

104

35.9

Lauren Classification

  Intestinal

143

49.3

  Diffuse or Mixed

147

50.7

Grade of differentiation

  Well

70

25.2

  Moderate or Poor

220

74.8

Vascular or lymphatic invasion

  No

218

75.2

  Yes

72

24.8

Nervous invasion

 

  No

222

76.6

  Yes

68

23.4

Neoadjuvant therapy

  SOX

214

73.8

  XELOX

21

7.2

  FOLFOX

55

19.0

Adjuvant treatment

  No

31

10.7

  Yes

259

89.3

 

Table 2      Univariate analysis of tumor markers

Tumor marker

Hazard ratio (95% CI)

P value

pre-AFU>45.1

1.607 (0.504, 5.126)

0.423

pre-AFP>2.61

1.294 (0.810, 2.066)

0.280

pre-CEA>1.645

1.193 (0.841, 1.893)

0.322

pre-CA199>24.885

1.729 (1.187, 2.519)

0.004

pre-CA125>15.955

2.337 (1.515, 3.606)

0.000

pre-CA724>4.565

2.033 (1.391, 2.972)

0.000

post-AFU>40.85

0.995 (0.517, 1.915)

0.988

post-AFP>4.615

1.697 (0.958, 3.005)

0.070

post-CEA>3.305

1.220 (0.813, 1.831)

0.337

post-CA199>62.605

2.447 (1.515, 3.954)

0.000

post-CA125>11.23

2.187 (1.352, 3.536)

0.001

post-CA724>5.88

2.246 (1.460, 3.455)

0.000

diff-AFU>9.7

1.429 (0.762, 2.681)

0.266

diff-AFP>1.39

2.275 (0.946, 5.470)

0.066

diff-CEA>0.035

1.033 (0.698, 1.527)

0.872

diff-CA199>0.075

1.631 (1.099, 2.418)

0.015

diff-CA125>0.79

1.726 (1.065, 2.797)

0.027

diff-CA724>0.365

1.663 (1.056, 2.616)

0.028

Note: Units: AFU(U/L); AFP(ng/ml); CEA(ng/ml); CA199(U/ml); CA125(U/ml); CA724(U/ml)

 

Table 3

Multivariate analysis of all characteristics

     

Variable

pre-HR (95% CI)

P

post-HR (95% CI)

P

diff-HR (95% CI)

P

Age

1.054

(0.569, 1.952)

0.866

0.569

(0.257, 1.263)

0.166

0.742

(0.331, 1.664)

0.469

Tumor Location

 

0.138

 

0.017

 

0.398

U

1

 

1

 

1

 

GEJ

0.273

(0.043, 1.722)

0.167

0.442

(0.054, 3.644)

0.448

0.700

(0.055, 8.892)

0.784

M

0.495

(0.180, 1.364)

0.174

0.098

(0.018, 0.541)

0.008

0.299

(0.046, 1.938)

0.205

L

0.503

(0.207, 1.222)

0.129

0.242

(0.075, 0.777)

0.017

0.644

(0.186, 2.228)

0.487

Diffuse

1.121

(0.401, 3.134)

0.828

0.753

(0.220, 2.584)

0.652

1.337

(0.296, 6.040)

0.706

Tumor Size (cm)

1.600

(0.782, 3.277)

0.198

1.707

(0.629, 4.633)

0.294

1.603

(0.583, 4.407)

0.361

ypT

 

0.336

 

0.073

 

0.148

0

1

 

1

 

1

 

1-2

0.192

(0.014, 2.611)

0.215

0.082

(0.004, 1.781)

0.111

0.124

(0.005, 3.331)

0.214

3-4

0.346

(0.020, 5.895)

0.463

0.458

(0.013, 16.705)

0.671

0.581

(0.011, 29.832)

0.787

ypN

 

0.003

 

0.001

 

0.003

0

1

 

1

 

1

 

1

6.958

(1.921,25.207)

0.003

51.682

(7.574, 352.668)

0.000

29.669

(3.114, 174.584)

0.001

2

9.513

(2.269,39.880)

0.002

44.946

(6.157, 328.089)

0.000

23.315

(3.114, 174.584)

0.002

3

16.023

(3.646,70.417)

0.000

59.818

(7.159, 499.801)

0.000

45.795

(5.722, 366.507)

0.000

ypTNM

 

0.493

 

0.073

 

0.139

1

 

1

 

1

 

1.725

(0.253,11.758)

0.578

1.264

(0.089, 17.940)

0.863

1.376

(0.062, 30.412)

0.840

0.881

(0.097, 8.037)

0.911

0.187

(0.008, 4.598)

0.304

0.254

(0.008, 8.278)

0.441

Histological type

0.579

(0.307, 1.091)

0.091

1.248

(0.567, 2.749)

0.582

0.919

(0.390, 2.166)

0.847

Lauren Classification

1.769

(0.973, 3.216)

0.062

0.985

(0.451, 2.154)

0.970

1.320

(0.529, 3.290)

0.552

Grade of differentiation

2.738

(1.137, 6.594)

0.025

3.985

(1.091, 14.552)

0.036

5.115

(1.349,19.394)

0.016

VOLI

1.665

(0.947, 2.929)

0.077

4.714

(2.130, 10.433)

0.000

2.627

(1.103, 6.254)

0.029

NI

1.020

(0.572, 1.821)

0.945

1.053

(0.543, 2.044)

0.878

1.255

(0.596, 2.642)

0.550

Adjuvant therapy

3.434

(1.505, 7.834)

0.003

6.111

(2.007, 18.607)

0.001

6.986

(2.327,20.971)

0.001

CEA

1.316

(0.736, 2.352)

0.354

0.985

(0.450, 2.153)

0.969

1.245

(0.570, 2.715)

0.583

CA19-9

1.009

(0.545, 1.871)

0.976

1.621

(0.627, 4.190)

0.318

1.183

(0.528, 2.648)

0.683

CA12-5

1.520

(0.840, 2.750)

0.167

1.572

(0.811, 3.046)

0.180

1.747

(0.820, 3.721)

0.148

CA72-4

2.158

(1.157, 4.026)

0.016

2.402

(1.072, 5.382)

0.033

2.049

(0.905, 4.636)

0.085

Note: VOLI: Vascular or lymphatic invasion; NI: Nervous invasion

 

Table 4

Coefficient of contingency (C value)

Markers

     

C value

P value

pre-CEA

 

-

+

   

pre-CA199

-

104

96

0.169

0.005

 

+

22

46

   

pre-CA125

-

71

62

0.177

0.015

 

+

17

34

   

pre-CA199

-

+

   

pre-CA125

-

109

27

0.230

0.001

 

+

29

22

   

pre-CA724

-

115

25

0.205

0.002

 

+

52

30

   

post-CEA

 

-

+

   

post-CA199

-

152

57

0.125

0.052

 

+

16

13

   

post-CA125

-

67

20

0.185

0.014

 

+

50

34

   

post-CA724

-

85

27

0.133

0.069

 

+

45

26

   

post-CA199

-

+

   

post-CA125

-

82

5

0.130

0.089

 

+

71

11

   

diff-CEA

 

-

+

   

diff-CA199

-

73

47

0.155

0.019

 

+

46

56

   

diff-CA125

-

56

31

0.141

0.085

 

+

29

29

   

diff-CA199

-

+

   

diff-CA125

-

50

37

0.198

0.015

 

+

21

36

   

diff-CA724

-

67

33

0.217

0.004

 

+

28

35

   

Note: Only results with P ≤ 0.1 were listed

 

Table 5

Relationship between serum tumor markers and pathological factors

   
   

N stage

 

P value

ypTNM

 

P value

VOLI

 

P value

   

N-

N+

 

Ⅰ-Ⅱ

 

+

-           

 

pre-CA199

-

80

125

0.017

94

111

0.042

156

49

0.400

 

+

16

53

 

22

47

 

49

20

 

pre-CA125

-

62

74

0.000

71

65

0.000

102

34

0.116

 

+

7

45

 

12

40

 

33

19

 

pre-CA724

-

50

91

0.030

65

76

0.004

110

31

0.082

 

+

18

65

 

22

61

 

56

27

 

post-CA199

-

82

132

0.003

100

114

0.003

159

55

0.559

 

+

3

26

 

105

138

 

23

6

 

post-CA125

-

45

43

0.001

51

37

0.003

65

23

0.854

 

+

22

62

 

30

54

 

61

23

 

post-CA724

-

46

68

0.016

55

59

0.024

91

23

0.019

 

+

17

56

 

23

50

 

47

26

 

diff-CA199

-

45

79

0.674

55

69

0.620

96

28

0.267

 

+

36

71

 

44

63

 

76

31

 

diff-CA125

-

39

49

0.035

46

42

0.074

65

23

0.425

 

+

16

43

 

22

37

 

40

19

 

diff-CA724

-

32

69

0.901

44

57

0.212

74

27

0.726

 

+

20

45

 

22

43

 

46

19

 

Note: VOLI: Vascular or lymphatic invasion